2024-03-28T22:44:46Z
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/oai
oai:ojs2.localhost:8089:article/1
2021-07-13T02:06:57Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1
2021-07-13T02:06:57Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 1-12
WaterOnto: Ontology of Context-Aware Grid-Based Riverine Water Management System
Peer-reviewed Article
Mughal, Muhammad Hussain; Centre for Research in Ubiquitous Computing, Mohammad Ali Jinnah University, Karachi, Pakistan
Shaikh, Zubair Ahmed; Centre for Research in Ubiquitous Computing, Mohammad Ali Jinnah University, Karachi, Pakistan
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1
Irrigation water
Diversion
Reservoir
Web 3.0
Management
Ontology
Wireless Sensor Network
Semantic Modelling
software agents
Disaster
en_US
The management of riverine water always remains a big challenge, because the volatility of water flow creates hurdles to determine the exact time and quantity of water flowing in rivers and available for daily use. The volatile water caused by various water sources and irregular flow pattern generates different kinds of challenges for management. Distribution of flow of water in irrigation network affects the relevant community in either way. In the monsoon seasons, river belt community high risk of flood, while far living community suffering drought. Contemplating this situation, we have developed an ontology for context-aware information representation of riverine water management system abetting the visualization and proactive planning for the complex real-time situation. The purpose of this WaterOnto is to improve river water management and enable for efficient use of this precious natural resource. This would also be helpful to save the extra water being discharged in sea & non-irrigational areas, and magnitude and location of water leakage. We conceptualized stakeholder and relevant entities. We developed a taxonomy of irrigation system concepts in machine process able structure. Being woven these hierarchies together we developed a detailed conceptualization of river flow that helps us to manage the flow of water and enable to extract danger situation.
oai:ojs2.localhost:8089:article/2
2021-07-13T02:06:56Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/2
2021-07-13T02:06:56Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 22-27
Necessary and Sufficient Conditions for Complementary Stochastic Quadratic Operators of Finite-Dimensional Simplex
Peer-reviewed Article
Abdulghafor, Rawad; Collage of Information and Communication Technology, International Islamic University Malaysia, 53100,Kuala Lumpur, Malaysia
Turaev, Sherzod; Collage of Information and Communication Technology, International Islamic University Malaysia, 53100,Kuala Lumpur, Malaysia
Zeki, Akram; Collage of Information and Communication Technology, International Islamic University Malaysia, 53100,Kuala Lumpur, Malaysia
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/2
Quadratic stochastic operators
complementary stochastic quadratic operator
finite-dimensional space
Sub-stochastic matrix
en_US
We define a complementary stochastic quadratic operator on finite-dimensional space as a new sub-class of quadratic stochastic operator. We give necessary and sufficient conditions for complementary stochastic quadratic operator.
oai:ojs2.localhost:8089:article/3
2021-07-13T02:06:54Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/3
2021-07-13T02:06:54Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 13-21
Unsteady Incompressible Stokes Flow through Porous Pipe of Uniform Circular Cross Section with Periodic Suction and Injection
Peer-reviewed Article
Bhatti, Kaleemullah; Department of Mathematics and Social Science, Sukkur IBA Sukkur, Pakistan
Siddiqui, Abdul Majeed; Department of Mathematics, Pennsylvania State University, York Campus York, PA 17403, U.S.A
Bano, Zarqa; Department of Mathematics and Social Science, Sukkur IBA Sukkur, Pakistan
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/3
Unsteady Stokes Flow
Porous pipe
circular cross section
Periodic Suction and Injection
No Slip
en_US
This work is concerned with the flow of a Newtonian fluid through a pipe of constant circular cross section which is uniformly porous. The governing unsteady equations are solved analytically after converting them to a third order ordinary differential equation using similarity transformation method. Expressions for axial and radial velocity components and pressure distribution are obtained. The characteristics of complex axial velocity and complex radial velocity for different values of parameters are analysed. The effects of small suction and small injection are delineated through graphs. Results reveal that suction or injection has significant influence on the flow.
oai:ojs2.localhost:8089:article/4
2021-07-13T02:06:53Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/4
2021-07-13T02:06:53Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 28-36
SDN Low Latency for Medical Big Data Using Wavelets
Peer-reviewed Article
Shah, Fadia; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Li, Jianping; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Memon, Raheel Ahmed; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/4
Medical Big Data
Cache
SDN
Wavelets
Compression
Low Latency
en_US
New era is the age of 5G. The network has moved from the simple internet connection towards advanced LTE connections and transmission. The information and communication technology has reshaped telecommunication. For this, among many types of big data, Medical Big Data is one of the most sensitive forms of data. Wavelet is a technical tool to reduce the size of this data to make it available for the user for more time. It is also responsible for low latency and high speed data transmission over the network. The key concern is the Medical Big Data should be accurate and reliable enough so that the recommended treatment should be the concerned one. This paper proposed the scheme to support the concept of data availability without losing crucial information, via Wavelet the Medical Data compression and through SDN supportive architecture by making data availability over the wireless network. Such scheme is in favor of the efficient use of technology for the benefit of human beings in the support of medical treatments.
oai:ojs2.localhost:8089:article/5
2021-07-13T02:06:52Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/5
2021-07-13T02:06:52Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 37-42
Increasing the Energy Efficiency of TICK by Selecting Adaptive Forwarding Nodes in Wireless Sensor Networks
Peer-reviewed Article
Ashraf, Muhammad; College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
Akram, Muhammad; College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/5
Wireless sensor networks
SNs
network energy
en route filtering
en_US
Time-Based Dynamic Keying and En Route Filtering (TICK) reduces the communication costs for wireless sensor networks by eliminating the exchange of control keying messages. TICK is more energy-efficient and is good at securing events as they occur; it also selects predetermined forwarding nodes for re-encryption operation without considering their residual energy (RE) which causes more energy depletion. We propose an energy- efficient method that selects forwarding nodes for re-encryption with high energy levels and a low hop count (HC). Simulation results indicate that the proposed method achieves better energy conservation.
oai:ojs2.localhost:8089:article/6
2021-07-13T02:06:50Z
sjcms:RWP
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/6
2021-07-13T02:06:50Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 43-51
Human Brain inspired Artificial Intelligence & Developmental Robotics: A Review
Peer-reviewed Review Paper
Kumar, Suresh; Aberystwyth University, UK
Sha, Patricia; Aberystwyth University, UK
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/6
Artificial Intelligence
Development & Robotics
en_US
Along with the developments in the field of the robotics, fascinating contributions and developments can be seen in the field of Artificial intelligence (AI). In this paper we will discuss about the developments is the field of artificial intelligence focusing learning algorithms inspired from the field of Biology, particularly large scale brain simulations, and developmental Psychology. We will focus on the emergence of the Developmental robotics and its significance in the field of AI.
oai:ojs2.localhost:8089:article/7
2021-07-13T02:06:49Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/7
2021-07-13T02:06:49Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 52-57
Enhancing the Statistical Filtering Scheme to Detect False Negative Attacks in Sensor Networks
Peer-reviewed Article
Akram, Muhammad; College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
Ashraf, Muhammad; College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
Cho, Tae Ho; College of Software, Sungkyunkwan University, Suwon 16419, Republic of Korea
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/7
WSNs
SEF
en route filtering
false positive attack
false negative attack
energy efficiency
en_US
In this paper, we present a technique that detects both false positive and false negative attacks in statistical filtering-based wireless sensor networks. In statistical filtering scheme, legitimate reports are repeatedly verified en route before they reach the base station, which causes heavy energy consumption. While the original statistical filtering scheme detects only false reports, our proposed method promises to detect both attacks.
oai:ojs2.localhost:8089:article/8
2021-07-13T02:06:48Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/8
2021-07-13T02:06:48Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 58-66
A Fast Implementation of Minimum Spanning Tree Method and Applying it to Kruskal’s and Prim’s Algorithms
Peer-reviewed Article
Munier, Badri; Department of Computer Science, Capital University of Science and Technology, Islamabad
Aleem, Muhammad; Department of Computer Science, Capital University of Science and Technology, Islamabad
Islam, Muhammad Arshad; Department of Computer Science, Capital University of Science and Technology, Islamabad
Iqbal, Muhammad Azhar; Department of Computer Science, Capital University of Science and Technology, Islamabad
Mehmood, Waqar; Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/8
Graph
Minimum spanning tree
Performance analysis
OpenMP
en_US
In last decade, application developers attained improved performances by merely employing the machines based on higher-clocked processors. However, in 2003 multi-core processors emerged and eradicated the old processor manufacturing technology based on increasing processor’s clock frequencies. After emergence of new parallel processor architectures, serial applications must be re-engineered into parallel versions to exploit the computing power of the existing hardware. In this paper, we present an efficient parallel implementation of minimum spanning tree algorithm to take advantage of the computing power of multi-core machines. Computer network routing, civil infrastructure planning and cluster analysis are typically use-cases of spanning tree problem. The experimental results show that the proposed algorithm is scalable for different machine and graph sizes. The methodology is simple and can easily be implemented using different shared-memory parallel programming models.
oai:ojs2.localhost:8089:article/9
2021-07-13T02:06:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/9
2021-07-13T02:06:46Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 67-77
A Study of Wearable Bio-Sensor Technologies and Applications in Healthcare
Peer-reviewed Article
Mehmood, Amir; Department of Computer Science and IT, Federal Urdu University of Arts, Science and Technology, Pakistan
Nadeem, Adnan; Faculty of Computer Science and Information System, Islamic University of Madinah, Kingdom of Saudi Arabia
Rizwan, Kashif; Department of Computer Science and IT, Federal Urdu University of Arts, Science and Technology, Pakistan
Mahmood, Nadeem; Department of Computer Science, University of Karachi, Pakistan
Waqas, Ahmad; Department of Computer Science, Sukkur IBA, Sindh, Pakistan
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/9
Wireless Bio-sensors platforms
ECG
EMG
WBSN & its Applications
SHIMMER
en_US
In today’s world the rapid advancements in Micro-Electromechanical Systems (MEMS) and Nano technology have improved almost all the aspects of daily life routine with the help of different smart devices such as smart phones, compact electronic devices etc. The prime example of these emerging developments is the development of wireless sensors for healthcare procedures. One kind of these sensors is wearable bio-sensors. In this paper, the technologies of two types of bio-sensors (ECG, EMG) are investigated and also compared with traditional ECG, EMG equipment. We have taken SHIMMERTM wireless sensor platform as an example of wearable biosensors technology. We have investigated the systems developed for analysis techniques with SHIMMERTM ECG and EMG wearable bio-sensors and these biosensors are used in continuous remote monitoring. For example, applications in continuous health monitoring of elderly people, critical chronic patients and Fitness & Fatigue observations. Nevertheless, early fall detection in older adults and weak patients, treatment efficacy assessment. This study not only provides the basic concepts of wearable wireless bio-sensors networks (WBSN), but also provides basic knowledge of different sensor platforms available for patient’s remote monitoring. Also various healthcare applications by using bio-sensors are discussed and in last comparison with traditional ECG and EMG is presented.
oai:ojs2.localhost:8089:article/10
2021-07-13T02:06:45Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/10
2021-07-13T02:06:45Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 78-88
Fast Performance Computing Model for Smart Distributed Power Systems
Peer-reviewed Article
Younas, Umair; Department of Electrical Engineering COMSATS Institute of Information Technology 22060 Abbottabad, Pakistan
Khan, B.; Department of Electrical Engineering COMSATS Institute of Information Technology 22060 Abbottabad, Pakistan
Ali, S. M.; Department of Electrical Engineering COMSATS Institute of Information Technology 22060 Abbottabad, Pakistan
Vaccaro, Alfredo; Department of Engineering, University of Sannio 82100 Benevento, Italy
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/10
Smart Distributed Power System
Plug-in Electric Vehicles (PEVs)
Demand Response (DR)
Data Centers
Renewable Energy
en_US
Plug-in Electric Vehicles (PEVs) are becoming the more prominent solution compared to fossil fuels cars technology due to its significant role in Greenhouse Gas (GHG) reduction, flexible storage, and ancillary service provision as a Distributed Generation (DG) resource in Vehicle to Grid (V2G) regulation mode. However, large-scale penetration of PEVs and growing demand of energy intensive Data Centers (DCs) brings undesirable higher load peaks in electricity demand hence, impose supply-demand imbalance and threaten the reliability of wholesale and retail power market. In order to overcome the aforementioned challenges, the proposed research considers smart Distributed Power System (DPS) comprising conventional sources, renewable energy, V2G regulation, and flexible storage energy resources. Moreover, price and incentive based Demand Response (DR) programs are implemented to sustain the balance between net demand and available generating resources in the DPS. In addition, we adapted a novel strategy to implement the computational intensive jobs of the proposed DPS model including incoming load profiles, V2G regulation, battery State of Charge (SOC) indication, and fast computation in decision based automated DR algorithm using Fast Performance Computing resources of DCs. In response, DPS provide economical and stable power to DCs under strict power quality constraints. Finally, the improved results are verified using case study of ISO California integrated with hybrid generation.
oai:ojs2.localhost:8089:article/11
2021-07-13T02:06:44Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/11
2021-07-13T02:06:44Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 89-95
Pervasive Electricity Distribution System
Peer-reviewed Article
Tahir, Muhammad Usman; Department of Electrical Engineering, Sukkur Institute of Business Administration Sukkur, Pakistan
Khan, Mohammad Asif; Department of Electrical Engineering, Sukkur Institute of Business Administration Sukkur, Pakistan
Waqas, Ahmad; Department of Computer Science, Sukkur IBA, Pakistan
Siddiqui, Shahneel; Department of Electrical Engineering, Sukkur Institute of Business Administration Sukkur, Pakistan
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/11
component
Pervasive
Smart Grid
Power Distribution
en_US
Now a days a country cannot become economically strong until and unless it has enough electrical power to fulfil industrial and domestic needs. Electrical power being the pillar of any country’s economy, needs to be used in an efficient way. The same step is taken here by proposing a new system for energy distribution from substation to consumer houses, also it monitors the consumer consumption and record data. Unlike traditional manual Electrical systems, pervasive electricity distribution system (PEDS) introduces a fresh perspective to monitor the feeder line status at distribution and consumer level. In this system an effort is taken to address the issues of electricity theft, manual billing, online monitoring of electrical distribution system and automatic control of electrical distribution points. The project is designed using microcontroller and different sensors, its GUI is designed in Labview software.
oai:ojs2.localhost:8089:article/12
2021-07-13T02:06:42Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/12
2021-07-13T02:06:42Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 96-107
Spatial Data Analysis: Recommendations for Educational Infrastructure in Sindh
Peer-reviewed Article
Ansari, Abdul Aziz; Department of Computer Science, Sukkur IBA, Pakistan
Rehman, M. Abdul; Department of Computer Science, Sukkur IBA, Pakistan
Waqas, Ahmad; Department of Computer Science, Sukkur IBA, Pakistan
Siddiqui, Shafaq; Department of Computer Science, Sukkur IBA, Pakistan
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/12
Spatial analytics
Data Analytics
Education
GIS
en_US
Analysing the Education infrastructure has become a crucial activity in imparting quality teaching and resources to students. Facilitations required in improving current education status and future schools is an important analytical component. This is best achieved through a Geographical Information System (GIS) analysis of the spatial distribution of schools. In this work, we will execute GIS Analytics on the rural and urban school distributions in Sindh, Pakistan. Using a reliable dataset collected from an international survey team, GIS analysis is done with respect to: 1) school locations, 2) school facilities (water, sanitation, class rooms etc.) and 3) student’s results. We will carry out analysis at district level by presenting several spatial results. Correlational analysis of highly influential factors, which may impact the educational performance will generate recommendations for planning and development in weak areas which will provide useful insights regarding effective utilization of resources and new locations to build future schools. The time series analysis will predict the future results which may be witnessed through keen observations and data collections.
oai:ojs2.localhost:8089:article/13
2021-07-13T02:06:41Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/13
2021-07-13T02:06:41Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 108-113
Improvement of Requirement Elicitation Process through Cognitive Psychology
Peer-reviewed Article
Fatima, Sana; Department of Computer Science, Sukkur IBA, Pakistan
Khand, Qamar Uddin; Department of Computer Science, Sukkur IBA, Pakistan
Siddique, Jawaid Ahmed; Department of Computer Science, Sukkur IBA, Pakistan
Memon, Zulfiqar Ali; NU FAST Karachi, Pakistan
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/13
Cognitive Psychology
Learning Style Models (LSM)
Requirement Elicitation Techniques
en_US
Proper requirement elicitation is necessary for client satisfaction along with the overall project success, but requirement engineers face problems in understanding user requirements and the users of the required system fail to make requirement engineering team understand what they actually want. It is then responsibility of requirement engineers to extract proper requirements. This paper discusses how to use cognitive psychology and learning style models (LSM) to understand the psychology of clients. Moreover, it also discusses usage of proper elicitation technique according to one’s learning style and gather the right requirements.
oai:ojs2.localhost:8089:article/14
2021-07-13T02:06:40Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/14
2021-07-13T02:06:40Z
Sukkur IBA University, Pakistan
Vol. 1 No. 1 (2017): January - June 2017; 114-121
Optimizing Distributed Machine Learning for Large Scale EEG Data Set
Peer-reviewed Article
Shaikh, M Bilal; Department of Computer Science, Sukkur IBA, Pakistan
Rehman, M Abdul; Department of Computer Science, Sukkur IBA, Pakistan
Sahito, Attaullah; Department of Computer Science, Sukkur IBA, Pakistan
2017-06-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/14
Data Set
Optimizing
Machine Learning
en_US
Distributed Machine Learning (DML) has gained its importance more than ever in this era of Big Data. There are a lot of challenges to scale machine learning techniques on distributed platforms. When it comes to scalability, improving the processor technology for high level computation of data is at its limit, however increasing machine nodes and distributing data along with computation looks as a viable solution. Different frameworks and platforms are available to solve DML problems. These platforms provide automated random data distribution of datasets which miss the power of user defined intelligent data partitioning based on domain knowledge. We have conducted an empirical study which uses an EEG Data Set collected through P300 Speller component of an ERP (Event Related Potential) which is widely used in BCI problems; it helps in translating the intention of subject w h i l e performing any cognitive task. EEG data contains noise due to waves generated by other activities in the brain which contaminates true P300Speller. Use of Machine Learning techniques could help in detecting errors made by P300 Speller. We are solving this classification problem by partitioning data into different chunks and preparing distributed models using Elastic CV Classifier. To present a case of optimizing distributed machine learning, we propose an intelligent user defined data partitioning approach that could impact on the accuracy of distributed machine learners on average. Our results show better average AUC as compared to average AUC obtained after applying random data partitioning which gives no control to user over data partitioning. It improves the average accuracy of distributed learner due to the domain specific intelligent partitioning by the user. Our customized approach achieves 0.66 AUC on individual sessions and 0.75 AUC on mixed sessions, whereas random / uncontrolled data distribution records 0.63 AUC.
oai:ojs2.localhost:8089:article/16
2018-06-26T13:13:04Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/16
2018-06-26T13:13:04Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 77-85
Internet of Things (IoTs) For Disaster Management
Peer-reviewed Article
Zahra, Syeda Ambreen; CS & IT, University of Lahore, Gujrat, Pakistan
Shafique, Iqra; CS & IT, University of Lahore, Gujrat, Pakistan
Farid, Tuba; CS & IT, University of Lahore, Gujrat, Pakistan
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/16
IoT
Disaster
Crowdsourcing
Cloud computing
WSN
en_US
The region of disaster administration gets expanding concern from numerous orders of research. A key part of PC researchers has been in formulating approaches to oversee and break down the information created in disaster administration circumstances. As one can without much of a stretch envision, any genuine commitment to the progress of the Internet of Things should fundamentally be the aftereffect of synergetic exercises directed in various fields of learning, for example, media communications, informatics, hardware and sociology. To limit the harm or loss of lives in the outcomes of a disaster, it is critical that rescuers can track the caught victims and perform composed help actions quickly. The ordinary media transmission framework (e.g. a landline or cell system) might be either mostly or totally harmed by a catastrophe occurrence. Internet of Things (IoT) is an encouraging innovation that can be utilized to take care of a portion of the issues said above. To date, the use of IoT in disaster administration is as yet an unexplored issue. The target of this paper is to concentrate the IoT-based proposition for disaster administration structure
oai:ojs2.localhost:8089:article/17
2018-06-26T12:11:28Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/17
2018-06-26T12:11:28Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 13-19
Crime Mapping in GIS By Using Hotspot
Peer-reviewed Article
Zahra, Syeda Ambreen; CS & IT, University of Lahore, Gujrat, Pakistan
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/17
Crime mapping
Spatial
GIS
Hotspot Spatial Temporal analysis
Crime Forecasts
Hotspot Mapping
Positional Errors
Predictive Ability
Temporal Information
en_US
Police forces use hotspot mapping to provide a single out towards to resource allocation, ensuring police officers are post to areas of high crime where their existence will have the most smash. Hotspot intelligence products are reliant on crime data sourced from police databases, and positional mistake in this data will have an impact on the accuracy of the hotspot maps make The postion of crime hotspots varies across both space and time. Crime mapping and analysis plays an integral role in essentially advanced form of crime representation, visualization and respond satisfactorily to the problem of criminality. It also let the analysts to figure out how crimes are spread evenly over the zone. GIS plays an effective role in mapping of crime. This paper puts on the diverse utilities of hotspot in GIS to recognize the crime in addition to encourage the advancement of investigation inclination strategy for policing. The functional approach in the present investigation for crime mapping can be successfully applied for improvement of user-interfaces stage for the advancement of safe city strategies.
oai:ojs2.localhost:8089:article/21
2021-07-13T02:06:39Z
sjcms:RWP
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/21
2021-07-13T02:06:39Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 88-94
Survey of Applications of Complex Event Processing (CEP) in Health Domain
Peer-reviewed Review Paper
Mahmood, Nadeem; Department of Computer Science (UBIT), University of Karachi, Karachi, Pakistan
Khurram Pasha, Madiha; Department of Computer Science (UBIT), University of Karachi, Karachi, Pakistan
Pasha, Khurram Ahmed; IT Department (BSS), Beaconhouse School System,, Karachi, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/21
Business Intelligence (BI)
Complex Event Processing (CEP)
en_US
It is always difficult to manipulate the production of huge amount of data which comes from multiple sources and to extract meaningful information to make appropriate decisions. When data comes from various input resources, to get required streams of events form this complex input network, the one of the strong functionality of Business Intelligence (BI) the Complex Event Processing (CEP) is the appropriate solution for the above mention problems. Real time processing, pattern matching, stream processing, big data management, sensor data processing and many more are the application areas of CEP. Health domain itself is a multi-dimension domain such as hospital supply chain, OPD management, disease diagnostic, In-patient, out-patient management, and emergency care etc. In this paper, the main focus is to discuss the application areas of Complex Event Processing (CEP) in health domain by using sensor device, such that how CEP manipulate health data set events coming from sensor devices such as blood pressure, heart rate, fall detection, sugar level, temperature or any other vital signs and how this systems respond to these events as quickly as possible. Different existing models and application using CEP are discussed and summarized according to different characteristics.
oai:ojs2.localhost:8089:article/24
2021-07-13T02:06:37Z
sjcms:RWP
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/24
2021-07-13T02:06:37Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 102-108
Comparative Study of Load Testing Tools: Apache JMeter, HP LoadRunner, Microsoft Visual Studio (TFS), Siege
Peer-reviewed Review Paper
Abbas, Rabiya; Department of Software Engineering , Bahria University Islamabad, Pakistan Islamabad Pakistan
Sultan, Zainab; Department of Software Engineering , Bahria University Islamabad, Pakistan Islamabad Pakistan
Bhatti , Shahid Nazir; Department of Software Engineering , Bahria University Islamabad, Pakistan Islamabad Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/24
Testing
manual testing
automated testing
testing tools
load testing
stress test.
en_US
Software testing is the process of verifying and validating the user’s requirements. Testing is ongoing process during whole software development. Software testing is characterized into three main types. That is, in Black box testing, user doesn’t know domestic knowledge, internal logics and design of system. In white box testing, Tester knows the domestic logic of code. In Grey box testing, Tester has little bit knowledge about the internal structure and working of the system. It is commonly used in case of Integration testing.Load testing helps us to analyze the performance of the system under heavy load or under Zero load. This is achieved with the help of a Load Testing Tool. The intention for writing this research is to carry out a comparison of four load testing tools i.e. Apache JMeter, LoadRunner, Microsoft Visual Studio (TFS), Siege based on certain criteria i.e. test scripts generation , result reports, application support, plug-in supports, and cost . The main focus is to study these load testing tools and identify which tool is better and more efficient . We assume this comparison can help in selecting the most appropriate tool and motivates the use of open source load testing tools.
oai:ojs2.localhost:8089:article/26
2019-03-09T11:32:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/26
2019-03-09T11:32:46Z
Sukkur IBA University, Pakistan
Vol. 2 No. 2 (2018): Sukkur IBA Journal of Computing and Mathematical Sciences; 8-13
Applied Mathematics Stabilization of Vertically Modulated Pendulum with Parametric Periodic Forces
Peer-reviewed Article
Ahmad, Babar; COMSATS Institute of Information Technology Islamabad
Khan, Sidra
2018-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/26
Kapitza pendulum; fast oscillation; parametric control
en_US
With the application of Kapitza method of averaging for arbitrary periodic force, a vertically modulated pendulum, with periodic linear forces is stabilized by minimizing its potential energy function. These periodic linear forces are selected in range [-1, 1], further the corresponding stability conditions are compared with that in case of harmonic modulation. Later, a parametric control is defined on some periodic piecewise linear forces and the nontrivial position is stabilized under different conditions by just adjusting the parameter.
oai:ojs2.localhost:8089:article/27
2018-01-25T19:44:35Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/27
2018-01-25T19:44:35Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 11-19
Decision Support System for Hepatitis Disease Diagnosis using Bayesian Network
Peer-reviewed Article
Lakho, Shamshad; Department of Information Technology, Quaid-e-Awam University of Engineering, Science & TechnologyNawabshah, Pakistan
Jalbani, Akhtar Hussain; Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan
Vighio, Muhammad Saleem; Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan
Memon, Imran Ali; Department of Information Technology, Shaheed Benazir Bhutto University, SBA Nawabshah, Pakistan
Soomro, Saima Siraj; Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan
Soomro, Qamar-un-Nisa; Department of Examination, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan
2022-04-16
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/27
Decision support system
Diagnosis
Diagnosticians
Probablistic Model
Knowledge Model
en_US
Medical judgments are tough and challenging as the decisions are often based on deficient and ambiguous information. Moreover the result of decision process has direct effects on human lives. Act of human decision declines in emergency situations due to complication, time limit and high risks. Therefore, provision of medical diagnosis plays a dynamic role, specifically in preliminary stage when a physician has limited diagnosis experience and identifies the directions to be taken for the treatment process. Computerized Decision Support Systems have brought a revolution in the medical diagnosis. These automatic systems support the diagnosticians in the course of diagnosis. The major role of Decision Support Systems is to support the medical personnel in decision making procedures regarding disease diagnosis and treatment recommendation. The proposed system provides easy support in Hepatitis disease recognition. The system is developed using the Bayesian network model. The physician provides the input to the system in the form of symptoms stated by patient. These signs and symptoms match with the casual relationships present in the knowledge model. The Bayesian network infer conclusion from the knowledge model and calculate the probability of occurrence of Hepatitis B, C and D disorders.
oai:ojs2.localhost:8089:article/29
2021-07-13T02:06:36Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/29
2021-07-13T02:06:36Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 31-38
Reflections of Practical Implementation of the academic course Analysis and Design of Algorithms taught in the Universities of Pakistan
Peer-reviewed Article
Shamsi, Faryal; Department of Computer Science, Sukkur Institute of Business Administration Sukkur, Sindh, Pakistan
Nazeer, Muhammad Irshad; Department of Computer Science, Sukkur Institute of Business Administration Sukkur, Sindh, Pakistan
Memon, Raheel Ahmed; Department of Computer Science, Sukkur Institute of Business Administration Sukkur, Sindh, Pakistan
Mangrio, Muhammad Ismail; Department of Computer Science, Sukkur Institute of Business Administration Sukkur, Sindh, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/29
Analysis and Design of Algorithms
Teaching and Practice
Analysis in Pakistan
en_US
This Analysis and Design of Algorithm is considered as a compulsory course in the field of Computer Science. It increases the logical and problem solving skills of the students and make their solutions efficient in terms of time and space. These objectives can only be achieved if a student practically implements what he or she has studied throughout the course. But if the contents of this course are merely studied and rarely practiced then the actual goals of the course is not fulfilled.
This article will explore the extent of practical implementation of the course of analysis and design of algorithm. Problems faced by the computer science community and major barriers in the field are also enumerated. Finally, some recommendations are made to overcome the obstacles in the practical implementation of analysis and design of algorithms.
oai:ojs2.localhost:8089:article/30
2021-07-13T02:06:35Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/30
2021-07-13T02:06:35Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 39-47
Role of GIS in Crime Mapping & Analysis
Peer-reviewed Article
Shafique, Iqra; CS & IT, University of Lahore, Gujrat, Pakistan
Zahra, Syeda Ambreen; CS & IT. University of Lahore, Gujrat, Pakistan
Farid, Tuba; CS & IT. University of Lahore, Gujrat, Pakistan
Sharif, Madiha; CS & IT. University of Lahore, Gujrat, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/30
Crime mapping
Spatial
GIS
Hotspot
Spatial Temporal analysis
RTM
Reggresion
Correlation
GAM
GEM
en_US
In most recent years, crime analysis has turned into a broad- spectrum term that needs a considerable measure of research on crime investigation and crime mapping. Study about crime with respect to its spatial and temporal distribution is important because data about crime incident is one of the most urgent need to fight against crime. Crime mapping and analysis plays an integral role in essentially advanced form of crime representation, visualization and respond satisfactorily to the problem of criminality. It also let the analysts to figure out how crimes are spread evenly over the zone. GIS plays an effective role in mapping of crime. This paper puts on the diverse utilities of GIS to recognize the hotspots in addition to encourage the advancement of investigation inclination strategy for policing. The functional approach in the present investigation for crime mapping can be successfully applied for improvement of user-interfaces stage for the advancement of safe city strategies.
oai:ojs2.localhost:8089:article/31
2021-07-13T02:06:33Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/31
2021-07-13T02:06:33Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 66-77
Software Atom: An approach towards software components structuring to improve reusability
Peer-reviewed Article
Mughal, Muhammad Hussain; Center for Research in Ubiquitous Computing, Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan,
Shaikh, Zubair Ahmed; Center for Research in Ubiquitous Computing, Department of Computer Science, Muhammad Ali Jinnah University, Karachi, Pakistan,
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/31
Classification
development
prototyping
extraction
parsing
re-usability
Software
software periodic table (SPT),
softwares repository
en_US
Diversity of application domain compelled to design sustainable classification scheme for significantly amassing software repository. The atomic reusable software components are articulated to improve the software component reusability in volatile industry. Numerous approaches of software classification have been proposed over past decades. Each approach has some limitations related to coupling and cohesion. In this paper, we proposed a novel approach by constituting the software based on radical functionalities to improve software reusability. We analyze the element's semantics in Periodic Table used in chemistry to design our classification approach, and present this approach using tree-based classification to curtail software repository search space complexity and further refined based on semantic search techniques. We developed a Global unique Identifier (GUID) for indexing the functions and related components. We have exploited the correlation between chemistry element and software elements to simulate one to one mapping between them. Our approach is inspired from sustainability chemical periodic table. We have proposed software periodic table (SPT) representing atomic software components extracted from real application software. Based on SPT classified repository tree parsing & extraction to enable the user to program their software by customizing the ingredients of software requirements. The classified repository of software ingredients assist user to exploits their requirements to software engineer and enable requirement engineer to develop a rapid large-scale prototype with great essence. Furthermore, we would predict the usability of the categorized repository based on feedback of users. The continuous evolution of that proposed repository will be fine-tuned based on utilization and SPT would be gradually optimized by ant colony optimization techniques. Succinctly would provoke automating the software development process.
oai:ojs2.localhost:8089:article/32
2021-07-13T02:06:32Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/32
2021-07-13T02:06:32Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 78-87
Theoretical Insights into Coverage Analysis of Cellular Networks
Peer-reviewed Article
Marvi, Murk; Computer & Information Systems Department, NED University of Engineering & Technology, Pakistan
Khurram, Muhammad; Computer & Information Systems Department, NED University of Engineering & Technology, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/32
en_US
Recently, tools from stochastic geometry have gained much attention for modeling and analysis of dense cellular networks. Although, extensive studies are available in literature in this respect however, the approaches are generalized and often lack significance towards practical scenarios where network conditions vary dynamically. The main objective of this research is to provide some insights into the stochastic geometry based analysis of cellular networks, through suitable modifications, so that it can be used to estimate parameters of interest i.e., intensity and coverage probability for different tiers and scenarios under consideration. The main definition for probability of coverage has been re-defined and complete closed form expression is derived. The intensity for different tiers have been estimated, with the help of proposed approach, beyond which no more gain in coverage probability can be achieved. Monte-Carlo simulations have been performed for validation of proposed approach and results are also compared with state-of-the-art approach.
oai:ojs2.localhost:8089:article/33
2021-07-13T02:06:31Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/33
2021-07-13T02:06:31Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 95-101
Video Copyright Detection Using High Level Objects in Video Clip
Peer-reviewed Article
Baloch, Abdul Rasheed; Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan
Kashif, Ubaidullah alias; Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan
Chachar, Kashif Gul; Department of Computer Science. Iqra University Karachi, Pakistan
Solangi, Maqsood Ali; Department of Computer Science. Sukkur Institute of Business Administration University Sukkur, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/33
Digital Image Processing
; Video Copyright Detection
Video Processing
Edge and Object Detection
en_US
Latest advancements in online video databases have caused a huge violation of copyright material misuse. Usually a video clip having a proper copyright is available in online video databases like YouTube without permission of the owner. It remains available until the owner takes a notice and requests to the website manager to remove copyright material. The problem with this approach is that usually the copyright material is downloaded and watched illegally during the period of upload and subsequent removal on request of the owner. This study aims at presenting an automatic content based system to detect any copyright violation in online video clips. In this technique, a video clip is needed from original video that is used to query from online video to find out shot similarity based on high level objects like shapes.
oai:ojs2.localhost:8089:article/34
2021-07-13T02:06:29Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/34
2021-07-13T02:06:29Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 20-24
Effects of Icon Design and Styles On Human-Mobile Interaction: Case Study on e-Literate vs. Non e-Literate user
Peer-reviewed Article
Memon, Zulfiqar A.; National University of Computer and Emerging Sciences (FAST-NUCES)
Siddiqi, Jawaid A.; Sukkur Institute of Business Administration University (Sukkur IBA University)
Shahani, Javed A.; Sukkur Institute of Business Administration University (Sukkur IBA University)
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/34
Mobile phones
Icon designing
Human-mobile interaction
en_US
Cell phones have turn out to be the most central communication gadget in our daily life. This results in an enormously intense competition between almost all the mobile phone vendors. Despite of manufacturer’s diverse types of advertising strategies such as exceptional price cut offers or modern attractive functions, what really matter is whether this everyday communication gadget has been designed according to the preference and requirements of all types of users. The miniature type screen interface design is one of the recent research themes of the Human-Computer Interaction domain. Because of the restricted screen size, “icons” have been considered as the prevailing style in the functional course of action of a cell phone. This article investigates the effects of icon designs and styles employed by different vendors on the perception of both the e-literate users and non e-literate users. We have explored various articles from the literature, summarizing their results of experimental validations and a comparative analysis is described at the end. It was found that designers of mobile phone icons have to balance a trade-off between the need, requirements and understanding of both e-literate and non e-literate users.
oai:ojs2.localhost:8089:article/36
2021-07-13T02:06:28Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/36
2021-07-13T02:06:28Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 109-115
Utilization of Electronic Learning System in Swat Rural Areas
Peer-reviewed Article
Sangi, Nazir Ahmed; Dept. of Computer Science, Allama Iqbal Open University, Islamabad, Pakistan
Rahman, Habib ur; Dept. of Computer Science, Allama Iqbal Open University, Islamabad, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/36
ICT
educational technology
electronic learning system
en_US
As developments in electronic technologies i.e. personal computers, laptops, tablets, mobiles and wearable devices, the way of learning is also changing. Therefore, utilization of Information and Communication Technology (ICT) has great important role in schools and colleges. ICT is using by students, teachers and societies in District Swat, KP, Pakistan in the form of mobiles internet (for social contact and chat), computers internet (for knowledge exploration and entertainment) and multimedia (for teaching and learning). One of the difficulties involved in rural areas’ students of District Swat is that they cannot join class rooms due to their poor livelihood condition and far away from schools and colleges. Especially most of the females of rural areas of Swat do not come to schools and colleges for their family tradition and culture. Various questions were examined in every aspect of educational technologies in this study. We surveyed 50 responded randomly at District Swat from different schools and colleges and discovered that the responded were generally positive and have great interest about e-learning in Swat. The use of proposed electronic system for the learning, the literacy rate will increase in rural areas and students will achieve their individual goals.
oai:ojs2.localhost:8089:article/38
2021-07-13T02:06:26Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/38
2021-07-13T02:06:26Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 57-65
Schema Integration of Web Tables (SIWeT)
Peer-reviewed Article
Masood, Nayyer; Department of Computer Science, Capital University of Science & Technology, Islamabad, Pakistan
Bibi, Amna; Department of Computer Science, Virtual University of Pakistan, Rawalpindi, Pakistan
Islam, Muhammad Arshad; Department of Computer Science, Capital University of Science & Technology, Islamabad, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/38
schema extraction
schema integration
, semantic heterogeneities
web tables
en_US
Schema integration has been mainly applied in database environment whether schemas to be integrated belonged to a single organization or multiple ones. Schema extraction is a relatively new area where schema is extracted from a web table. The extracted schema is not as much concretely defined as in a typical database environment. The work in this paper brings two areas together where extracted schemas from multiple web tables are integrated to form a global schema. The data are also extracted from web tables and placed into global table. This creates a large repository of data of the same domain extracted dynamically from websites which is then available for different types of ad-hoc queries. This work also imposes challenges on schema integration to be studied in the context of schema extraction and other way round.
oai:ojs2.localhost:8089:article/42
2018-06-26T12:08:39Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/42
2018-06-26T12:08:39Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 1-12
Genetic Algorithm-based Optimized Fuzzy Adaptive Path Selection in Wireless Sensor Networks
Peer-reviewed Article
Akram, Muhammad; College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Ashraf, Muhammad; College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Cho, Tae Ho; College of Software, Sungkyunkwan University, Suwon 16419, Republic of Korea
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/42
fuzzy optimization; route selection; ; filtering; genetic algorithm; fuzzy
en_US
In Wireless sensor networks, energy efficiency can be achieved by adaptive choice of the data forwarding path to balance the energy dissipation in the network. This adaptive path selection is done through a fuzzy rule-based method given the input parameters. Due to uncertainty in reasoning and inferencing process and imprecision in the data, the fuzzy-based system becomes an ideal choice for the selection of the paths. In fuzzy systems, the membership functions need to be optimized to make the best use of the fuzzy inferencing and improve the performance of the fuzzy system. Genetic algorithm-based fuzzy membership function optimization technique selects the optimal solution in a feasible time and saves from the hassle of manual intervention. Manual optimization efforts are unfeasible for common applications and take unlimited time and human expertise to optimize functions in an exhaustive search field. This technique assesses the fitness of the membership functions through simulation outcomes and optimizes them through genetic algorithm based evaluation process. The proposed scheme consists of three modules; The first module simulates the membership function in the given network model, the second module analyzes the performance efficiency of the membership functions through simulation, and the last module constructs the subsequent membership-function populations using GA techniques. The proposed method automatically optimizes the membership functions in the fuzzy system with little human intervention, requires minimal human expertise and saves ample time in the optimization process.
oai:ojs2.localhost:8089:article/43
2021-07-13T02:06:25Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/43
2021-07-13T02:06:25Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 25-30
Enhancing Cognitive Theory of Multimedia Leaning through 3D Animation
Peer-reviewed Article
Bhatti, Zeeshan; Institute of Information and Communication Technology, University of Sindh Jamshoro,
Mahesar, Abdul Waheed; Institute of Information and Communication Technology, University of Sindh Jamshoro,
Bhutto, Ghullam Asghar; Institute of Information and Communication Technology, University of Sindh Jamshoro,
Chandio, Fida Hussain; Institute of Mathematics and Computer Science, University of Sindh Jamshoro,
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/43
Multimedia Learning
Animation
Cognitive Theory
en_US
Cognitive theory of Multimedia learning has been a widely used principle in education. However, with current technological advancements and usage, the teaching and learning trend of children’s have also changed with more dependability towards technology. This research work explores and implement the use of 3D Animation as tool for multimedia learning based on cognitive theory. This new dimension in cognitive learning, will foster the latest multimedia tools and application driven through 3D Animation, Virtual Reality and Augmented Reality. The three principles, that facilitate cognitive theory of multimedia learning using animation, addressed in this research are temporal contiguity principle (screening matching narration with animation simultaneously rather than successively), personalization principle (screening text or dialogs in casual form rather than formal style) and finally the multimedia principle (screen animation and audio narration together instead of just narration). The result of this new model would yield a new technique of educating the young children through 3D animation and virtual reality. The adaptation of cognitive theory through 3D animation as a source of multimedia learning with various key principles produces a reliable paradigm for educational enhancement.
oai:ojs2.localhost:8089:article/44
2021-07-13T02:06:24Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/44
2021-07-13T02:06:24Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 48-56
Initiative For Thyroid Cancer Diagnosis: Decision Support System For Anaplast Thyroid Cancer
Peer-reviewed Article
Chandio, Jamil Ahmed; Department of Computer Science Sukkur IBA University
Soomrani, M. Abdul Rehman; Department of Computer Science Sukkur IBA University
Sehito, Attaullah; Department of Computer Science Sukkur IBA University
Siddiqui, Shafaq; Sukkur IBA University
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/44
decision support system
biomedical image
algorithm
classification
en_US
Due to the high level exposure of biomedical image analysis, Medical image mining has become one of the well-established research area(s) of machine learning. AI (Artificial Intelligence) techniques have been vastly used to solve the complex classification problems of thyroid cancer. Since the persistence of copycat chromatin properties and unavailability of nuclei measurement techniques, it is really problem for doctors to determine the initial phases of nuclei enlargement and to assess the early changes of chromatin distribution. For example involvement of multiple transparent overlapping of nuclei may become the cause of confusion to infer the growth pattern of nuclei variations. Un-decidable nuclei eccentric properties may become one of the leading causes for misdiagnosis in Anaplast cancers. In-order to mitigate all above stated problems this paper proposes a novel methodology so called “Decision Support System for Anaplast Thyroid Cancer” and it proposes a medical data preparation algorithm AD (Analpast_Cancers) which helps to select the appropriate features of Anaplast cancers such as (1) enlargement of nuclei, (2) persistence of irregularity in nuclei and existence of hyper chromatin. Proposed methodology comprises over four major layers, first layer deals with the noise reduction, detection of nuclei edges and object clusters. Second layer selects the features of object of interest such as nuclei enlargement, irregularity and hyper chromatin. Third layer constructs the decision model to extract the hidden patterns of disease associated variables and final layer evaluates the performance evaluation by using confusion matrix, precision and recall measures. The overall classification accuracy is measured about 97.2% with 10-k fold cross validation.
oai:ojs2.localhost:8089:article/45
2021-07-13T02:06:22Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/45
2021-07-13T02:06:22Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 1-10
A Remotely Deployable Wind Sonic Anemometer
Peer-reviewed Article
Awais, Muhammad; Computer Information and Systems Engineering, NED University of Engineering and Technology, NED UET, Karachi, Pakistan
Abbas Zaidi, Syed Suleman; Computer Information and Systems Engineering, NED University of Engineering and Technology, NED UET, Karachi, Pakistan
Marvi, Murk; Computer Information and Systems Engineering, NED University of Engineering and Technology, NED UET, Karachi, Pakistan
Khurram, Muhammad; Computer Information and Systems Engineering, NED University of Engineering and Technology, NED UET, Karachi, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/45
IoT
big data
Anemometer
LSTM
en_US
Communication and computing shape up base for explosion of Internet of Things (IoT) era. Humans can efficiently control the devices around their environment as per requirements because of IoT, the communication between different devices brings more flexibility in surrounding. Useful data is also gathered from some of these devices to create Big Data; where, further analysis assist in making life easier by developing good business models corresponding to user needs, enhance scientific research, formulating weather prediction or monitoring systems and contributing in other relative fields as well. Thus, in this research a remotely deployable IoT enabled Wind Sonic Anemometer has been designed and deployed to calculate average wind speed, direction, and gust. The proposed design is remotely deployable, user-friendly, power efficient and cost-effective because of opted modules i.e., ultrasonic sensors, GSM module, and solar panel. The testbed was also deployed at the roof of Computer & Information Systems Engineering (CIS) department, NED UET. Further, its calibration has been carried out by using long short-term memory (LSTM), a deep learning technique; where ground truth data has been gathered from mechanical wind speed sensor (NRG-40 H) deployed at top of Industrial & Manufacturing (IM) department of NED UET. The obtained results are satisfactory and the performance of designed sensor is also good under various weather conditions.
oai:ojs2.localhost:8089:article/51
2021-07-13T02:06:20Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/51
2021-07-13T02:06:20Z
Sukkur IBA University, Pakistan
Vol. 1 No. 2 (2017): July - December 2017; 11-19
Decision Support System for Hepatitis Disease Diagnosis using Bayesian Network
Peer-reviewed Article
Lakho, Shamshad; Department of Information Technology, Quaid-e-Awam University of Engineering, Science & TechnologyNawabshah, Pakistan
Hussain Jalbani, Akhtar; Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan
Vighio, Muhammad Saleem; Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan
Memon, Imran Ali; Department of Information Technology, Shaheed Benazir Bhutto University, SBA Nawabshah, Pakistan
Soomro, Saima Siraj; Department of Information Technology, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan
Soomro, Qamar-un-Nisa; Department of Examination, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Pakistan
2017-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/51
Decision support system
Diagnosis
Diagnosticians
Probabilistic Model
Knowledge Model
en_US
Medical judgments are tough and challenging as the decisions are often based on the deficient and ambiguous information. Moreover, the result of decision process has direct effects on human lives. The act of human decision declines in emergency situations due to the complication, time limit, and high risks. Therefore, provision of medical diagnosis plays a dynamic role, specifically in the preliminary stage when a physician has limited diagnosis experience and identifies the directions to be taken for the treatment process. Computerized Decision Support Systems have brought a revolution in the medical diagnosis. These automatic systems support the diagnosticians in the course of diagnosis. The major role of Decision Support Systems is to support the medical personnel in decision-making procedures regarding disease diagnosis and treatment recommendation. The proposed system provides easy support in Hepatitis disease recognition. The system is developed using the Bayesian network model. The physician provides the input to the system in the form of symptoms stated by the patient. These signs and symptoms match with the casual relationships present in the knowledge model. The Bayesian network infers conclusion from the knowledge model and calculates the probability of occurrence of Hepatitis B, C and D disorders.
oai:ojs2.localhost:8089:article/57
2018-06-26T11:48:51Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/57
2018-06-26T11:48:51Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 44-51
Analysis on Energy Efficient Protocols-Wireless Sensor Networks
Peer-reviewed Article
Tariq, Iqra; University Of Management and Technology, Sialkot Pakistan
Maqsood, Talal Bin; University Of Management and Technology, Sialkot Pakistan
Malik, Babur Hayat; University of Lahore, Chenab campus, Gujrat Pakistan
Asghar, Mareena; University of Lahore, Chenab campus, Gujrat Pakistan
Gulzar, Quratulain; University of Lahore, Chenab campus, Gujrat Pakistan
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/57
LEACH protocol
Wireless Sensor Network (WSN)
Multi Hop (MHT)
Base Station (BS)
Cluster Head (CH)
Distributed Energy Efficient Clustering (DEE)
Medium Access Control (MAC)
en_US
Wireless Sensor Networks are among the networks which have the aptitude to be used in harsh surroundings. Wireless Sensor networks utilize micro sensor nodes. Although, sensors offer high quality and proficiency to put up with faults but their inadequate battery life is indulging it in impediments. Because limited battery life hinders communication among nodes in Network. Keeping in view above particulars; analysis has been completed on protocols that resolve crisis of low energy due to limited battery. This paper states analysis on Low Energy Adaptive Clustering Hierarchy protocol that has now decidedly shaped into Advanced Low Energy Adaptive Clustering Hierarchy protocol to put off energy dissipation in improved manner. This Review paper is intended for comparing Energy Trends in Low Energy Adaptive Clustering Hierarchy, Advanced Low Energy Adaptive Clustering Hierarchy, and Low Energy Adaptive Clustering Hierarchy -Clustering that is static and has heterogeneous routing protocol, Multi Hop and Distributed Energy Efficient Clustering Protocol. How Leach protocols could be improved. Result has offered availability of low power sensors consisting of sensor nodes that uses clustering practice. Outcome of this analysis illustrates that utilization of energy can be minimized in protocols by facilitating equal load allocation among all nodes.
oai:ojs2.localhost:8089:article/61
2018-06-26T12:16:14Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/61
2018-06-26T12:16:14Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 36-43
Holy Qur'an Speech Recognition System Distinguishing The Type of prolongation
Peer-reviewed Article
Yousfi, Bilal; Kulliyyah of Information and Communication Technology (KICT), International Islamic University Malaysia
Zeki, Akram M.; Kulliyyah of Information and Communication Technology (KICT), International Islamic University Malaysia
Haji, Aminah; Kulliyyah of Information and Communication Technology (KICT), International Islamic University Malaysia
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/61
component
Holy Quran
Tajweed
Qira’at
Sound
Mel-Frequency
Hidden Markov Models
en_US
Abstract— The act of learning and teaching of the Holy Quran has become a scientific practice to Muslims around. The stakeholders are face with a huge challenge when it comes to the principle of application of Tajweed (that is, the rules guiding the pronunciation during recitation of the Quran). There are several efforts made by previous systems on the development of feasible guiding techniques to the act of Tajweed. Unfortunately, liking the major control variables of the practices of Tajweed in those approaches were neglected. In order to fill this gap, this research present a speech recognition system that distinguishes the types of Madd (elongate tone) or prolongation and the type of Qira’at (method of recitation) related to Madd. The proposed system is capable of recognising, identifying, pointing out the mismatch and discriminate between two types of Madd namely, The Soft Lengthening المد اللين and The Exchange Prolongation مد البدل rules for Hafss and Warsh for the verses contains the two rules, that were made by the expert found in a database. Furthermore, this study used Mel-Frequency Cepstral Coefficient (MFCC) and Hidden Markov Models (HMM) as feature extraction and feature classification respectively
oai:ojs2.localhost:8089:article/65
2018-06-26T11:48:51Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/65
2018-06-26T11:48:51Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 61-69
Swarm Based Coverage Using Multiple Informed Leaders
Peer-reviewed Article
Din, Ahmad; Department of Computer Science, COMSATS Institute of Information Technology, Abbottabad, Pakistan
Ahmed, Ashfaq; Department of Computer Science, COMSATS Institute of Information Technology, Abbottabad, Pakistan
Khalid, Abbas; Department of Computer Science, COMSATS Institute of Information Technology, Abbottabad, Pakistan
Khan, Owais; Department of Computer Science, COMSATS Institute of Information Technology, Abbottabad, Pakistan
Zia, Kashif; Faculty of Computing and Information Technology, Sohar University, Sohar, Oman
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/65
robotics coverage
Informed Leaders
exploration
en_US
Abstract— Robotic exploration typically involves navigation through unknown terrains. In this paper, collaborative strategy for coverage is presented, in which the concept of informed agents as a leader in a swarm has been introduced for autonomous coverage. The small population of robots in large swarms act as informed leaders, and help others to accomplish their tasks related to the exploration. These informed leaders receive information about the environment from external sources (e.g. humans, media etc.), and influence uninformed robots using their swarm behaviors. Multiple Swarm behaviors have been designed for swarm navigation, and dynamic selection of the informed leaders. This approach has been tested in simulation of homogeneous swarm, with and without informed leaders. The number of informed agents needed to guide the swarm effectively has been investigated as well. Experimental results showed that the introduction of informed agents improves the coverage task
oai:ojs2.localhost:8089:article/66
2018-06-26T13:09:21Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/66
2018-06-26T13:09:21Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 70-76
COMPARATIVE STUDY OF TESTING TOOLS BLAZEMETER AND APACHE JMETER
Peer-reviewed Article
Memon, Pirah; Institute of information and communication Technology MehranUniversity of Engineering and Technology Jamshoro, Pakistan
Hafiz , Tahseen; Department of Software Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan
Bhatti, Sania; Department of Software Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan
Qureshi, Saman Shahid; Institute of information and communication Technology Mehran University of Engineering and Tecnology Jamshoro, Pakistan
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/66
BlazeMeter
Apache JMeter
, Automated software testing
en_US
Abstract— Automated Testing plays a vital role in the entire development of software. Due to growing requirements of an automated testing diverse range of testing tools are available. From literature, it is observed that a number of automated testing tools are studied and compared however, this is the first time that Apache JMeter and BlazeMeter are compared. The objective of this paper is to compare load testing tools: Apache JMeter and BlazeMeter based on the criteria such as performance, latency, size, error percent, duration count, number of hits and response time. This paper focuses on the analysis of the performance and functionality that minimizes the software cost and resources. After performing experiments, it is proved that the performance of BlazeMeter is better than Apache JMeter with respect to all parameters.
oai:ojs2.localhost:8089:article/69
2018-06-26T12:01:18Z
sjcms:RWP
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/69
2018-06-26T12:01:18Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 52-60
Analysis on Security Methods of Wireless Sensor Network (WSN)
Peer-reviewed Review Paper
Mugheri, Abdul Aziz; SZABIST Institute of Science and Technology
Siddiqui, Murtaza Ahmed; SUKKUR IBA UNIVERSITY
Khoso, Mohammad; SZABIST LARKANA Campus
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/69
en_US
Security has always been a major area of concern for WSN. Due to limited resources and size constrain of a node, WSN still lacks a comprehensive security mechanism for its operations. In this paper, some of the purposed security methods for WSN are being analyzed for the issues that still exist in the purposed security method. To perform the analysis on security methods some of the documented or implemented security algorithm by researchers are being studied and the issues with those algorithms are being highlighted. After performing the analysis it is quite clear that most of the algorithm being purposed by researchers for WSN need to be designed keeping in view resources constrains of WSN.
oai:ojs2.localhost:8089:article/70
2019-03-09T11:38:54Z
sjcms:RWP
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/70
2019-03-09T11:38:54Z
Sukkur IBA University, Pakistan
Vol. 2 No. 2 (2018): Sukkur IBA Journal of Computing and Mathematical Sciences; 14-21
Secure Routing in Mobile Ad hoc Network
Peer-reviewed Review Paper
Naz, Irsa; university of lahore
Bashir, Sabrina
Abbas, Sumbal
2018-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/70
en_US
Abstract— MANET is a wireless Mobile ad-hoc network which includes mobile nodes. In MANET mobile refers to the movable nodes which can change their location frequently. MANET is a network which has no central infrastructure; it is a self-managing and self-configuring network. In MANET devices can be heterogeneous like laptops, mobiles, PDAs etc. Due to the movement of the nodes and no infrastructure MANET can be used in disaster and emergency situations. MANET has the characteristics of dynamic topology, multi hop routing, energy constraint and easy setup. The nodes in the MANET work as a both host and a router, to make routes in the network. Due to all these flexible features of MANET there are many security vulnerabilities arises. In MANET routing is a main concern due to the mobility and the node work as a router. The security of the routing layer is essential because if any attack interrupts the communication then security of whole network can be compromised. There are different types of attacks in MANET: such as internal attacks, external attacks and other attacks of all layers. Network layer attacks are identified in this paper. Some routing protocols are used for the security of routing in MANET like SAODV, SRP, SEAD and Ariadne etc. In this paper we present a review of routing attacks and their possible solutions how to avoid from these attacks.
Keywords- Mobile ad-hoc network, Routing, Attacks, Security
oai:ojs2.localhost:8089:article/71
2018-06-26T12:14:20Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/71
2018-06-26T12:14:20Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 29-35
Challenges of Computer Science and IT in Teaching-Learning in Saudi Arabia
Peer-reviewed Article
Mehmood Malik, Dr. Hafiz Abid; AMA International University, Bahrain
Abid, Faiza; King Khalid University, Saudi Arabia
Kalaicelvi, R.; AMA International University Bahrain
Bhatti, Zeeshan; Department of IT, University of Sindh
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/71
Computer science; Information technology; Makerspace; Education; Challenges; Curriculum; English language skill
en_US
Personal Computers (PCs) have invaded all ranges of civilization and there is currently a reasonable connection among technology, development and economic persistence. For a couple of decades in teaching-learning field, computer science curriculum development has been a core issue. In different eras different strategies have been adopted to improve the teaching-learning process. Integrated Curriculum Techniques (ICT) can play a positive role in all subjects. Specifically, strengthen the integration among all subjects can prove the good results in computer science and English language. In the area of computer science and information technology, communication in English language is considered a big barrier in understanding in Saudi Arabia. In this research we discuss and suggest the different aspects that can upsurge the overall performance and structure of the education system, particularly in Saudi Arabia. It is an effort to investigate the nature of hindrances and challenges faced at Saudi academies while implementing an IT based learning approach. To walk with the level of international universities and to play the role in modern scientific research, the use of the English language can improve the vision of computer science and information technology. Teacher-student communication in English language is a very important factor. This small step-forward can develop the confidence in students that consequently leads to the betterment of whole education system. Besides, the availability of up-to-date and accurate software and hardware installation is very important to cope with the challenges of the era. World is in your hands, if you know the proper use of technology. In this paper, Makerspace techniques have also been suggested that can play a significant role in teaching-learning that relates with ICT.
oai:ojs2.localhost:8089:article/78
2018-06-26T11:48:51Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/78
2018-06-26T11:48:51Z
Sukkur IBA University, Pakistan
Vol. 2 No. 1 (2018): January - June 2018; 20-28
On the Evaluation of Android Malware Detectors
Peer-reviewed Article
Rafiq, Hassan; Capital University of Science and Technology, Islamabad
Aleem, Muhammad; Capital University of Science and Technology, Islamabad
Islam, Muhammad Arshad; Capital University of Science and Technology, Islamabad
2018-06-26
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/78
malware detectors; antivirus; Android; hardware performance counter;
en_US
Malware is an umbrella term used for viruses, worms, and Trojans. These days malware is becoming a great threat to the Android users. A malware detector which is commonly known as an antivirus or virus scanner avoids a malicious file to infiltrate into a system. With the increasing usage of smartphones, malware is also becoming powerful to penetrate the mobile devices. Traditional protection systems identify malware using signatures that can be manipulated by various techniques. In this research paper, it has been demonstrated that the most of the known commercial malware detectors cannot detect common code obfuscation techniques. Moreover, we have evaluated resource utilization (CPU, memory, and battery) consumed by several malware detectors.
oai:ojs2.localhost:8089:article/215
2019-03-09T11:32:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/215
2019-03-09T11:32:46Z
Sukkur IBA University, Pakistan
Vol. 2 No. 2 (2018): Sukkur IBA Journal of Computing and Mathematical Sciences; 30-37
Sindhi Text Corpus using XML and Custom Tags
Peer-reviewed Article
Bhatti, Zeeshan
Shah, Majid; University of Sindh, Jamshoro
2018-12-31
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/215
Corpus; Sindhi; Sindhi Corpus; Natural Language Processing; XML
en_US
Sindhi language being one of the oldest languages of the world, has still very limited use in digital age due to lack of digital contents. The use of corpus for each language has been extremely important in facilitating the natural language processing of its script. This research work address the issue of building corpus for Sindhi Language using UML based Tagging. The tree based XML tag structure is designed to develop Sindhi Corpa, that has two main nodes namely metadata and sindhi Document which contains the main text.
oai:ojs2.localhost:8089:article/234
2019-03-09T11:32:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/234
2019-03-09T11:32:46Z
Sukkur IBA University, Pakistan
Vol. 2 No. 2 (2018): Sukkur IBA Journal of Computing and Mathematical Sciences; 22-29
Online Support Services in E-learning: A Technology Acceptance Model
Peer-reviewed Article
Siddiqui, Moiz Uddin Ahmed; Allama Iqbal Open University
Saeed, Hina; Allama Iqbal Open University
hussain, Shahid; Allama Iqbal Open University
Farid, Shahid; Baha Uddin Zakria University, Multan
2019-03-09
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/234
en_US
The development in Information and Communication Technology is rapidly changing dynamics of communication industry. The integration of technology in education has given rise to e-leaning which is the technology driven mode of education. Due to emerging nature of phenomenon, the students’ ability to accept and respond to online support services is important for the success of e-learning. This paper investigates the attitude of students towards online support services at the Allama Iqbal Open University, Pakistan, using Technology Acceptance Model. A questionnaire was adopted and customized from the previous studies. The feedback from the 220 students was collected using the said questionnaire. The statistical techniques using the descriptive statistics and linear regression were applied to analyze the data. The results show positive attitude of students towards online support services.
oai:ojs2.localhost:8089:article/235
2019-03-09T11:32:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/235
2019-03-09T11:32:46Z
Sukkur IBA University, Pakistan
Vol. 2 No. 2 (2018): Sukkur IBA Journal of Computing and Mathematical Sciences; 1-7
Tuberculosis: Image Segmentation Approach Using OpenCV
Peer-reviewed Article
Ayub Khan, Abdullah; Benazir Bhutto Shaheed University Lyari, Karachi
2019-03-09
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/235
Image Segmentation Approaches, Tuberculosis (TB), Medical Imaging, Binary Color, Python, OpenCV.
en_US
Tuberculosis (TB) is one of the major disease spreading whole over the world. TB caused by bacteria known as Mycobacterium tuberculosis. Nowadays, TB is increasing widely in the region of Karachi and now it’s becoming a challenging task for all researchers. The process is to partitioning digital image into different segments according to the set of pixels is known as image segmentation. It’s used to identify segments & extract meaningful information of an image. Image segmentation approaches are providing new ways in the field of medical and it’s exactly suitable for TB images, block-based & layer-based segmentation which helps to find edge, thresholding, regional growth, clustering, water shading, erosion & dilation, utilizing histogram for the betterment of TB patients. Chest X-ray is playing a vital role to diagnose TB. X-ray contains two colors, foreground and background that’s why the overall work depends on binary coloring. It’s helping to identify symptoms and intensity of TB in a patient. The purpose is to write this research, to reduce the ratio of TB patients in Karachi region by using image segmentation approaches (edge detection, thresholding, reginal growth etc.) on chest X-ray and calculates the alternative way to detect the intensity level of TB in individual patient’s report with effectively, efficiently & accurately with minimum amount of time by using Python OpenCV.
oai:ojs2.localhost:8089:article/276
2019-09-13T07:07:36Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/276
2019-09-13T07:07:36Z
Sukkur IBA University, Pakistan
Vol. 3 No. 1 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences; 44-50
Robotic Techniques Used for Increasing Improvement Rate In The Rehabilitation Process Of Upper Limb Stroke Patients
Peer-reviewed Article
Bhatti, Zeeshan
Ahmed, Faheem
Ahmed, Aqeel
2019-09-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/276
Rehabilitation, Exoskeleton, robotic techniques, admittance control, physical therapy, coordinated movement, stroke patients,
en_US
The rate of stroke patients in Pakistan is increasing, resulting in the decrease mobility of the patients. The movement of upper limb stoke patient is decreased due to the weakness and loss of joint control in his upper body. To improve the coordination of movement of the upper limb stroke patients, many methods e.g. passive and active modes for improving the disrupted mobility are introduced. The objectives of this paper are to first review the studies on upper limb stroke patients and the techniques used for increasing the improvement rate through physical therapy by exoskeleton and evaluation of the performance of the patient using methods such as quantification and graphical representations so that it can be shown to the patient for his motivation to improve further. The paper introduces a mechanical design of exoskeleton with 1 degree of freedom for elbow and 2 degrees of freedom for shoulder movement for rehabilitation of joints of stoke patients. It also mentions the safety that will be taken in the process so that the exoskeleton is safe to use when it is in contact with human. The model of the exoskeleton has the characteristic of being modular and easily operable and use admittance control strategy. Control strategy of the exoskeleton is discussed to maintain the position and orientation of the device and also is able to cater the gravitational attraction which plays an important part in the movement of the actuators. The mathematical model of motion attained due to the degrees of freedom of the exoskeleton is then evaluated and the lastly areas where the future work of exoskeleton can be done are discussed.
oai:ojs2.localhost:8089:article/302
2019-09-13T07:07:36Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/302
2019-09-13T07:07:36Z
Sukkur IBA University, Pakistan
Vol. 3 No. 1 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences; 1-16
A Priority Based Intelligent Transportation (IT) Assistance Model for Victims in Incident Environment Using Drone and eCall Technology
Peer-reviewed Article
Ullah, Sana; Federal Urdu University of Arts, Science & Technology
2019-09-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/302
Intelligent Transportation System (ITS), Artificial Intelligence, Transportation, IT, Drone Technology, Mobile Technology, Incident environment, Emergency environment, Intelligent Transportation System (ITS), Incident detection
en_US
With the advancement in information technology (IT), transportation sector has been evolved remarkably. Numerous technologies have been deployed to assist and manage transportation systems in emergency and incident situations. Assisting of serious injured in road accidents is extremely important on time and a little delay in medical assistance leads to huge lives loss. In this connection, a model “A Priority Based Intelligent Transportation (IT) Assistance Model for Victims in Emergency/Incident Environment Using Drone and eCall Technology” has been proposed which assist victims/accident injured on priority basis. The main breakthroughs of the proposed model are inclusive of to diminished/minimized lives losses, saving time, speed up rescuing process; maximize efficiency, improving the transport results like traffic resilience, travel reliability, environment protection and road safety. For the validation of the proposed research model, a quantitative research approach (Survey) has been utilized. The expert opinions are gathered from field experts in different rounds through questionnaire. The hypotheses are assessed based on chi-squared test statistical method.
oai:ojs2.localhost:8089:article/304
2019-04-09T03:48:47Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/304
2019-04-09T03:48:47Z
Sukkur IBA University, Pakistan
Vol. 2 No. 2 (2018): Sukkur IBA Journal of Computing and Mathematical Sciences; 38-46
Effective Word Prediction in Urdu Language Using Stochastic Model
Peer-reviewed Article
Siddiqui, M. Farhan; Department of Computer Science, University of Karachi, Pakistan
Hassan, M.; Department of Computer Science, University of Karachi, Pakistan
2019-03-09
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/304
Word Prediction, Natural language processing, stochastic model, unigram, interpolation, markov model.
en_US
Word prediction and word suggestion is an important tools for writing contents in any language, in which the right word is predicted in a current context. Writing contents on English keyboards to produce other language contents is too hard and time consuming for everyone and requires more practice. To increase the typing speed especially in mobile and smart phones or for creating contents on social networks derived the need of this tool in every language. This paper presents a state of the art research for word prediction in Urdu Language (UL) based on stochastic model. Hidden Markov Model was implemented to predict the next state, while Unigram Model was also used to suggest the current state and the next hidden state, N-Gram Model was followed keeping N=2. The tool is developed to implement this model for Urdu Language (UL) and tested by regular and new URDU content writers to check their improvements in their typing speeds.
oai:ojs2.localhost:8089:article/321
2019-09-13T07:07:36Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/321
2019-09-13T07:07:36Z
Sukkur IBA University, Pakistan
Vol. 3 No. 1 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences; 58-62
Review of Available Barriers to the Wind Energy Development Activities in the Coastal Areas of Pakistan
Peer-reviewed Article
alam, zeeshan; Department of Computer Science, University of Karachi, Pakistan
2019-09-13
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/321
en_US
The fossil fuels including coal, oil & gas, nuclear and other waste burning methods for power generation are the main cause of our climate to change drastically, and are contributing factor to global warming. And these conventional forms of energies are also finite and depleting with a fast pace. The alternate to this situation is the adaptation of clean, renewable forms of energies, like wind, solar, hydel, geothermal, etc. The coastal belt of Pakistan is the supposed to be the windiest part of the country, so we have a massive wind energy resource waiting to be used for the development of wind based power plants. Despite the efforts made at provincial and central governments level and in different private sectors, the wind electricity generation capabilities and/or technologies so far couldn’t be developed as it should be. This paper describes the salient natural and anthropogenic barriers against the wind energy development activities along the coastal belt of Pakistan.
oai:ojs2.localhost:8089:article/355
2019-09-13T07:07:36Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/355
2019-09-13T07:07:36Z
Sukkur IBA University, Pakistan
Vol. 3 No. 1 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences; 51-57
Analysis of Optimum Velocity and Pressure of the Air Flow through the Screens with the Help of Resistance Coefficient
Peer-reviewed Article
Memon, Abid Ali; sukkur iba university
2019-09-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/355
resistance, refraction, angle, metalic screens
en_US
The creation based on the finite element study of the fluid flow through the two- dimensional channel rectangular shaped and fit escorted by the three blocks imposing with screen boundary conditions on them. These blocks or screens are affixed at unit distance from each other with two different angles -450 and 450. The two-dimensional incompressible Navier Stokes equations are discretizing by finite element based software COMSOL MultiPhysics 5.4 which embraced the Galerkin's least square operation. The air is working fluid which endures to enter from the exit of the channel from 1 m/sec to 10 m/sec, the resistance and refraction coefficients are tested from 2 to 3 and 0.2 to 1 respectively. The consequences of maximum speed as well as pressure and mixed drag force of all the screens are reviewed by fixing refraction coefficient from 0.2 to 1 over the resistance coefficient from 2 to 3. The results are presented via the graph and tables and predicted the numerical expectations. The existing research work is checked out by matching stream-wise velocity taking place at the exit of the channel with the asymptomatic solution constituted by Elder [1959].
oai:ojs2.localhost:8089:article/356
2020-03-05T11:20:31Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/356
2020-03-05T11:20:31Z
Sukkur IBA University, Pakistan
Vol. 3 No. 2 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 25-36
Implementation of Kanban Techniques in Software Development Process: An Empirical Study Based on Benefits and Challenges
Peer-reviewed Article
Riaz, Muhammad Noman; Virtual University of Pakistan, Lahore
2020-03-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/356
Agile; Kanban; Lean; Muda; Software Development
en_US
It has been observed that there is an increasing trend of implementing Lean Techniques as a whole in general and Kanban in particular in the software development process all across the globe to reap the proclaimed advantages of these techniques as documented in the available literature and verified by the Lean practitioners. The main goal of this paper is to highlight the present state of implementation and usage of Kanban techniques in the software development process, its obtained and to-be-obtained benefits, challenges that are being faced by the software development companies and the reason(s) of motivation that compels the organization to adopt Kanban technique. Furthermore, the solutions for challenges identified during the study will also be suggested. In order to achieve this, an empirical study has been conducted encompassing a survey followed by complementing thematic interview sessions with 241 employees of 67 software companies of Pakistan. The companies involved in the empirical study have reasonable years of experience in practicing Agile and Lean techniques. Generally, the obtained results depict that the usage of Kanban techniques is rather positive and appreciative; however, the challenges that are being faced in Kanban adoption are lack of specialized training and experience pertaining to its usage and a too conventional organizational culture.
oai:ojs2.localhost:8089:article/375
2019-09-13T07:07:36Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/375
2019-09-13T07:07:36Z
Sukkur IBA University, Pakistan
Vol. 3 No. 1 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences; 34-43
Aspects Based Opinion Mining for Teacher and Course Evaluation
Peer-reviewed Article
Shaikh, Sarang; Sukkur IBA University
Doudpotta, Sher Muhammad; Sukkur IBA University
2019-09-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/375
en_US
Teacher and course evaluation by students at the end of each term is an important task in almost every academic institution world wide. It helps in assessing faculty performance and suitability of the course in any academic program. The data collected from evaluation comprises of two parts|Likert Scale and open-ended feedback. Computationally, the Likert Scale form can be handled easily as it is numerical in nature but to handle open-ended feedback is a challenging task. Presently, in most of the organizations, it is processed manually, which is error-prone, tedious and full of human biases. To solve this problem, this paper proposes a two-step strategy based on Machine Learning and Natural Language Processing (NLP) techniques. The first step is to extract overall topic of the feedback text using supervised machine learning followed by exploitation of NLP rules to find out specific aspect about which the feedback is given along with orientation of the opinion either positive, negative or neutral. Using, this two-step strategy combining with NLP, machine learning techniques and data from past seven years of real feedback at a public sector university in Pakistan, we are able to achieve a recall and precision of 83.89% and 84% on topic identification i.e. to classify a feedback in teacher and course category. The system is able to extract different aspects of teacher and course with a precision of 83% and recall of 80%, whereas overall sentiment classification accuracy is 90%.
oai:ojs2.localhost:8089:article/396
2019-09-13T07:07:36Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/396
2019-09-13T07:07:36Z
Sukkur IBA University, Pakistan
Vol. 3 No. 1 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences; 17-27
Exploring the Impact of Mathematics Perception on Students’ Performance
Peer-reviewed Article
Shaikh, Bakh; Sukkur IBA
Daudpota, Sher Muhammad; Sukkur IBA University
2019-09-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/396
en_US
Level of students’ attitude, interest in Mathematics related courses and students’ perception about their teachers’ teaching methodology is analyzed in this study. This study investigated a relationship between students’ perception and their Mathematics results. There were 330 students selected using random sampling, from different departments who were taking Mathematics course in fall 2017 at Sukkur IBA University. A survey was conducted through questionnaire and data were collected. Using inferential statistics (Pearson correlation, One-way ANOVA test and Independent t-test), data analysis was performed through statistical package (SPSS) version 19.0. The results specify that the level on students’ perception towards Mathematics subject is good among all departments and there is a negative non-linear relationship between students’ perception and their Mathematics courses results. Further it was analyzed that male and female contain good and same level of perception about the subject.
oai:ojs2.localhost:8089:article/397
2019-09-13T07:07:36Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/397
2019-09-13T07:07:36Z
Sukkur IBA University, Pakistan
Vol. 3 No. 1 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences; 28-33
Current Status of Urdu on Twitter
Peer-reviewed Article
Soomro, Tariq Rahim; Institute of Business Managemnet
Ghulam, Saqib Muhammad; SZABIST Dubai Campus
2019-09-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/397
Twitter
Semantics
Sentimental Analysis
Urdu
Social Media Data
en_US
Language is the medium of communication and interaction in words or sign format. Simple and easy access to mobile held devices and popularity of social media has revolutionized the way people used to communicate with each other. The information generated in the past two years is many times greater than the information generated since data storage technology inceptions. The Urdu language has emerged since the 6th century from other languages like Arabic, Hindi, Persian, Prakrit, and Sanskrit and it is the national language of Pakistan. Even after being used widely in all public, official and media use of this language is limited to speaking and reading. This study will be conducted during Pakistan general elections 2018, which is an advantage of analyzing Urdu as the whole nation is engaged in social media promoting their political parties and the amount of information generated during this time will be large. However, the challenge of identification of tweet corpse difficult remains due to the intensive use of Roman Urdu.
oai:ojs2.localhost:8089:article/452
2020-03-05T11:20:31Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/452
2020-03-05T11:20:31Z
Sukkur IBA University, Pakistan
Vol. 3 No. 2 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 37-45
A Modified 3-Point Adams Block Method of the Variable Step Size Strategy for Solving Neutral Delay Differential Equations
Peer-reviewed Article
Yashkun, Ubaidullah; Department of Mathematics, Sukkur IBA University, Pakistan
Abdul Aziz, Nurul Huda Binte; Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia
2020-03-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/452
Neutral delay differential equations, Adams block method, Newton interpolation technique, Variable step size technique, concurrently
en_US
A modified 3-point Adams block method of order six (3ABM6)to solve neutral delay differential equations (NDDEs) using variable step size strategy is developed. The approximate solution of the retarded and the neutral terms of the neutral delay differential equations at the grid points is obtained using the Newton divided difference interpolation technique. The proposed method will approximate the solution in each step using the three-points concurrently. To determine the performance of the proposed method, the maximum errors (MAXERR) and total number of function calls (FNC) will be compared with the method of 2-point order six predictor-corrector. The numerical results show that the 3ABM6 reduces the number of function calls and better accuracy in term of MAXERR.
oai:ojs2.localhost:8089:article/465
2020-03-06T04:58:09Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/465
2020-03-06T04:58:09Z
Sukkur IBA University, Pakistan
Vol. 3 No. 2 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 1-8
Performance Comparison of SVM and its Variants for the Early Prognosis of Breast Cancer
Peer-reviewed Article
Khan, Talha Ahmed; British Malaysian Institute (BMI), Universiti Kuala Lumpur, Malaysia and Usman Institute of Technology, Karachi, Pakistan
Alam, Muhammad; CCIS, Institute of Business Management, Karachi, Pakistan and Malaysian Institute of Information and Technology (MIIT), Universiti Kuala Lumpur Malaysia
Shahi, Zeeshan; Electrical Engineering Department, Institute of Business Management, Karachi, Pakistan
Mazliham, M.S.; Malaysian France Institute (MFI), Universiti Kuala Lumpur Malaysia
2020-03-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/465
Benign, Malignant, Breast cancer, dense breast, fatty breast, Support Vector Machine
en_US
Breast cancer has become a leading cause of women death in this era. Breast cancer is very common in various countries including Pakistan. Early identification of the breast cancer or tumor is the only way for the rapid treatment and cure. An imaging approach named as mammography has performed tremendous job in the field of medical to detect the cancer tumors on early basis with less false alarm rate. Breast cancer has two types of tumors a) Benign and b) Malignant. Malignant is acknowledged as cancer tumor as it spread and grow rapidly inside the tissues. Detection of Malignant tumor is very complex in dense breast as it is covered and linked with the milk glands, ducts and other related tissues. Therefore, machine learning and artificial intelligence approaches were needed as mammographic images required edge detection, image enhancement and image processing. Various Artificial Intelligence based algorithms have been applied to the clinical breast cancer data set for the early detection of breast tumor. In this research work the clinical data has been collected from the UCI machine learning repository for the classification of breast cancer tumor a) Benign and b) Malignant. Support Vector machine with its variants Kernel, Gaussian Kernel and Sigmoid Kernel have been applied to the linearly separable breast cancer data set for comparative analysis. Results proved that all the variants of SVM performed better for the breast cancer classification.
oai:ojs2.localhost:8089:article/470
2020-03-06T04:49:27Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/470
2020-03-06T04:49:27Z
Sukkur IBA University, Pakistan
Vol. 3 No. 2 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 9-24
Crime Mapping in Gujrat, Pakistan using GIS
Peer-reviewed Article
Zahra, Syeda Ambreen; University of Lahore
2020-03-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/470
HOTSPOT SPATIAL TEMPORAL
en_US
Abstract—In previous years, crime has turned into a broad spectrum term in Pakistan. Street crime in Pakistan is in the high range. This needs a measurable research on crime mapping. Research about crime with its spatial and temporal distribution is important because data about crime Events is one of the most necessary need to Defends against crime [19]. Crime mapping is figure out how crimes are spread evenly over the zone. GIS plays an effective role in mapping of crime. This paper puts on the diverse utilities of GIS to Identify the hot, low crime area and safe area of Gujrat, Pakistan in addition to encourage the advancement of investigation and safety strategy for policing using GIS. This Research using GIS present better investigation for crime mapping in Gujrat, Pakistan so by using GIS in police department can be successfully applied on all police stations for better safety. GIS is technological gadgets which normally improve policing process as it simplifies the cognitive metrics and relationships between spatial localities. Studies reveal that GIS can holistically be integrated with crime investigating systems of police. This indicates that GIS is feasible, adoptable and adaptable tool in crime Deducting systems. This study aims to find out generic crime activity patterns of Gujrat using applications of GIS in crime patrolling and reduction activities. This study also aims to ensure that GIS can improve crime prediction and proactive measures for crime control in Gujrat. It will not only highlight the hot spots of crime.
oai:ojs2.localhost:8089:article/510
2020-03-05T11:20:31Z
sjcms:RWP
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/510
2020-03-05T11:20:31Z
Sukkur IBA University, Pakistan
Vol. 3 No. 2 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 55-62
A Review of Virtual Touch Interaction Systems
Peer-reviewed Review Paper
Abro, Rizwan Ali; Sukkur IBA University
Abro, Ahsanullah; Sukkur IBA University
Fatima, Sana; Sukkur IBA University
Shaikh, Sarang; Sukkur IBA University
Abro, Sindhu; Sukkur IBA University
2020-03-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/510
en_US
Virtual touch has opened a new dimension in the field of Human Computer Interaction (HCI). Enabled with the motion and gesture detection techniques, it allows manual interaction with virtual environments. Virtual environments are built for performing tasks which are typically achieved using hands in the real world, such as handling objects. An analysis on wearables, graspable and touchable haptic devices used in multiple fields is discussed in this study. This paper reviews the design aspect as well as the usage of the haptic devices along with trendy practices that involved in generating satisfactory touch sensations.
oai:ojs2.localhost:8089:article/511
2020-03-05T11:20:31Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/511
2020-03-05T11:20:31Z
Sukkur IBA University, Pakistan
Vol. 3 No. 2 (2019): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 46-54
The Solution of Maintenance Strategy Selection Problem by using modified Fuzzy TOPSIS for of Material Handling Equipment
Peer-reviewed Article
Kausar, Alia; Department of Mathematics, Lahore Garrison University, Lahore, Pakistan
Akram, Sana; Department of Mathematics, Lahore Garrison University, Lahore, Pakistan
Tabassum, Muhammad Farhan; Department of Sports Sciences & Physical Education, Faculty of Allied Health, University of Lahore, Lahore, Pakistan
Ahmad, Adeel; Department of Mathematics, Lahore Garrison University, Lahore, Pakistan
Khan, Shahzaman; Department of Physical Education and Sports Sciences, Sukkur IBA University, Sukkur, Pakistan
2020-03-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/511
Maintenance strategy selection, Multi-criteria decision-making, Fuzzy TOPSIS method, Triangular fuzzy number, Linguistic variables
en_US
In today's competitive production environment, maintenance is one of the most important issues. Today in manufacturing plants productive methods are used to improve operating capacities that change environmental factors that lead to a competitive market. There is thus an important role to play in achieving those goals in selecting and explaining an optimal maintenance plan. Furthermore, there is a lack of an integrated model consisting of available requirements and choices, a systematic approach to maintenance instructions and strong maintenance decisions. In this paper modified Fuzzy TOPSIS method has been used for the solution of maintenance strategy selection problem. Linguistic variable and triangular fuzzy number have been used for modification in multi-criteria decision-making to solve maintenance strategy selection problem. Five experts have been considered for six types of maintenance strategy and ten decision criteria have been used in this problem. In this article, maintenance breakdown strategy is the strongest of all material handling systems maintenance strategies.
oai:ojs2.localhost:8089:article/518
2020-07-31T18:51:15Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/518
2020-07-31T18:51:15Z
Sukkur IBA University, Pakistan
Vol. 4 No. 1 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 21-27
Multimedia Based e-Learning for Educating Children in Sindhi Language
Peer-reviewed Article
Bhatti, Zeeshan
Shah, Sayed Majid; Institute of information and Communication Technology, University of Sindh, Jamshoro
Tunio, Muhammad Zahid; Department of Computer Systems Engineering, Dawood University of Engineering and Technology, Karachi
Brohi, Sadam Hussain
Memon, Anas Iqbal
2020-07-29
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/518
Multimedia Learning
e-learning
Android app
en_US
The education system is rapidly updating with the involvement of technology. The primary education is considering the backbone of the children’s study. Normally, the children do not memories their lesson at home and they play games on mobile instead of reading. In this paper, a digital learning approach has introduced based on Sindhi primary education using mobile application. The children/students can learn easy basics of primary level like; numbers, Sindhi and English alphabets, shapes, and colors along with lessons. A digital approach is consisting of a mobile application that manages the basic learning features with an attractive user-friendly environment together with the Mp3 audio voice and high resolution of images in HD quality. The main features will be appeared on the screen by launching the application in the form of icons as ABC, اب ٻ, 123 and clicking them for further process. When single alphabetical reading task is complete, then it moves into the Arabic form of the Sindhi alphabet with the addition of Zer, Zabar, Pesh. These alphabetical characters connecting to each other for the creation of Sindhi words such as; آھي (Is) {Aahe}, آھن (Are) {Aahin}, ھُو (Who) {Hoo}and so on. The next level for children to learning, the basic lessons of Sindhi with audio and the same tasks for basic English for primary education learning. At the initial level of digital learning approach, a Sindhi textbook named “سنڌي ٻاراڻو ڪتاب” (Sindhi Childs Book) {Sindhi Barano Kitab} has been covered through this application.
oai:ojs2.localhost:8089:article/566
2020-09-19T06:38:54Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/566
2020-09-19T06:38:54Z
Sukkur IBA University, Pakistan
Vol. 4 No. 1 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 1-10
Analysis of Underground Cable Fault Techniques Using MATLAB Simulation
Peer-reviewed Article
Shaikh, Muhammad Suhail; Yanshan University
Ansari, Muhammad Mohsin; School of Electrical Engineering, Zhejiang University China
Jatoi, Munsif Ali; Department of Biomedical Engineering, Barrett Hodgson University, Karachi, Pakistan
Arain, Zahid Ali; Department of Sciences and technologies, Indus University, Karachi, Pakistan
Qader, Aleem Ahmed; School of Economics and Management ,Yanshan University , Qinhuangdao, China
2020-07-29
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/566
en_US
In populated areas, underground cables are using for Electrical distribution and transmission purposes, due to this, underground cables have more advantages than overhead transmission line during abnormal weather condition including rain, and thunderstorm. But calculation and determination of the exact position of fault location occur, have been a significant challenge in the underground. In this paper, different techniques like Sectionalizing, thumper, and time domain reflectometry and MATLAB simulation technique-based reusing for determining fault location in underground cable systems and the also factors that affect the fault location are discussed.
oai:ojs2.localhost:8089:article/567
2020-07-31T18:47:26Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/567
2020-07-31T18:47:26Z
Sukkur IBA University, Pakistan
Vol. 4 No. 1 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 11-20
Aspect Based Sentimental Analysis of Hotel Reviews: A Comparative Study
Peer-reviewed Article
Abro, Sindhu
Shaikh, Sarang; Sukkur IBA University
Abro, Rizwan Ali
Soomro, Sana Fatima
Malik, Hafiz Mehmood; Department of Computer Science, Arab Open University, Bahrain
2020-07-29
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/567
en_US
The increasing use of the internet enables users to share their opinion about what they like and dislike regarding products and services. For efficient decision making, there is a need to analyze these reviews. Sentiment analysis or opinion mining is commonly used to detect polarity (positive or negative) of reviews. But, it does not show the aspect or orientation of the text. In this study, state-of-art approaches based on supervised machine learning employed to perform three tasks on the dataset provided by SemEval. Tasks A and B are related to predicting the aspect of the restaurant’s reviews, whereas task C shows their polarity. Additionally, this study aims to compare the performance of two feature engineering techniques and five machine learning algorithms to evaluate their performance on a publicly available dataset named SemEval-2015 Task 12. The experimental results showed that the word2vec features when used with the support vector machine algorithm outperformed by giving 76%, 72% and 79% off overall accuracies for Task A, Task B, and Task C respectively. Our comparative study holds practical significance and can be used as a baseline study in the domain of aspect-based sentiment analysis.
oai:ojs2.localhost:8089:article/573
2020-07-29T16:08:02Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/573
2020-07-29T16:08:02Z
Sukkur IBA University, Pakistan
Vol. 4 No. 1 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 28-36
Awareness regarding Coronavirus pandemic among the population of Sindh, Pakistan: A cross-sectional study
Peer-reviewed Article
Shaikh, Khalida; Liaquat university of medical and health sciences
Memon, Areeba; Aga Khan Hospital - Karachi
Memon, Irfan Ahmed; Mehran University of Engineering & Technology, Jamshoro, Pakistan
Laghari, Zulfiqar Ali; Sindh University, Jamshoro, Pakistan.
Memon, Abdul Moiz; Mehran University of Engineering & Technology, Jamshoro, Pakistan.
2020-07-29
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/573
en_US
Background: The appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) triggered a severe global pandemic and is a major public health issue. As of now, there’s no approved antiviral treatment or vaccine present for this disease. Thus, proper management of such patients and strict practice of precautions by the general public is critical in saving the lives of people affected and stopping the transmission of the disease to those unaffected by it. Methods: This is a cross-sectional descriptive study and was carried out in Sindh, Pakistan. 588 people from different cities of Sindh were asked to fill a questionnaire that tested their attitudes, knowledge and practices related to SARS-CoV-2 pandemic. Results: Television and other social media platforms have led to increased dissemination of knowledge among our population. Their increased understanding has led them to be more compliant with adopting precautionary measures, as frequent handwashing was seen in 89.8% and social distancing in 87.2%. Our results also showed greater prevalence of myths among our population. Conclusion: Increased access to correct knowledge can help to dissipate misconceptions and help spread the accurate knowledge about the role that the public should play in reducing disease transmission.
oai:ojs2.localhost:8089:article/580
2020-07-29T16:08:02Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/580
2020-07-29T16:08:02Z
Sukkur IBA University, Pakistan
Vol. 4 No. 1 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 45-52
Identifying the Machine Learning Techniques for Classification of Target Datasets
Peer-reviewed Article
Abro, Abdul Ahad
Yimer, Mohammed Abebe
Bhatti, Zeeshan
2020-07-29
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/580
Machine Learning
Data Mining
K-Nearest Neighbor
Logistic Regression
Naive Bayes
en_US
Given the dynamic and convoluted nature of numerous datasets, the necessity of enhancing performance outcomes and handling multiple datasets has become more challenging. To handle these issues effectively and improve the quality of multiple approaches, the capabilities of various Machine Learning techniques such as K-Nearest Neighbor (KNN), Logistic Regression (LR), Naive Bayes(NB) and Support Vector Machine (SVM) have been utilized in this study. In this paper, the binary classification method using five different datasets and many predictor variables have been utilized. Moreover, this research has mainly focused on determining the classification of data into the subsets that share the standard designs. In this regard, many approaches had been studied extensively and used to achieve better yields from the existing literature; however, they were inadequate to provide efficient outcomes. By applying four Supervised ML classification algorithms along with the UCI Datasets of ML Repository, the robustness of the method is progressed. The proposed mechanism is assessed by adopting five performance criteria concerning the accuracy, AUC (Area Under Curve), precision, recall and F-measure values. The current study experimental results revealed that there is a significant improvement in the confusion matrix rate compared with a similar study and this method can also be used for machine learning problems such as binary classification.
oai:ojs2.localhost:8089:article/582
2020-07-29T16:08:02Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/582
2020-07-29T16:08:02Z
Sukkur IBA University, Pakistan
Vol. 4 No. 1 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 37-44
Average Index Modelling of Campus Safety and Walkability: The Case Study of University of Sindh
Peer-reviewed Article
Memon, Irfan Ahmed; Mehran University of Engineering & Technology
Kalwar, Saima
Sahito, Noman
Qureshi, Sabeen
Memon, Noman; Mehran University of Engineering & Technology
2020-07-29
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/582
Pedestrian safety; pedestrian walkability; average index model
en_US
A pedestrian friendly area encourages the inhabitants to experience the place enjoyably on foot. A pedestrian's sense of comfort is defined by the environmental qualities that encourage walking. The city's environmental qualities also make them better for walking, encouraging both physical and social activities. This Study focuses on safety and walkability in the University of Sindh. According to a survey done by researchers at the University of Sindh, the important issue at the university is lacking pedestrian facilities. Therefore, this study covers major facets of walkability. It is envisioned for policymakers and planners who want to improve the walking spaces for their communities with the best current information on pedestrian facilities. This research identified basic details about the specific walking plans and project creation. It includes trail preparation, roads, street lighting, street repairs, path and track repair, public protection, personal security, etc. This research explores the improvement of university walkways to accommodate pedestrian through Average Index Model. In addition, the study presents recommendations on the issue of pedestrian safety. Also, discusses how University of Sindh’s road network aspects and addresses how campus roadway system could include sustainable transportation choices for inhabitants.
oai:ojs2.localhost:8089:article/589
2022-03-07T11:09:01Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/589
2022-03-07T11:09:01Z
Sukkur IBA University, Pakistan
Vol. 5 No. 1 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS -January-June 2021 (ONLINE FIRST); 37-52
Impact Assessment of Urban Pull-factors to cause Uncontrolled Urbanization: Evidence from Pakistan
Peer-reviewed Article
WASEEM, HASSAM BIN; Masters Student
TALPUR, MIR AFTAB HUSSAIN
2021-03-18
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/589
en_US
Uncontrolled urbanization is a global phenomenon, currently sweeping through developing countries like Pakistan. Being the 6th most populous country, its strategic urban locations receive a humongous migrant influx. A prime victim is Hyderabad, Pakistan, the Sindh’s second-largest urban settlement after Karachi that experiences enormous urban problems due to immense urbanization. Hence, the study aims to propose policy implications to curtail Hyderabad’s urbanization. The objective of this study is to measure the impacts of pull-factors in perception of migrants so that the policy implications could be proposed on most responsible factors. For this study, 3 urban Talukas (a district’s subdivision) of district Hyderabad were selected. While a sample of 400 migrants was procured using purposive and snowball sampling techniques for the questionnaire survey. Utilizing a large survey data, the results were obtained using descriptive statistics and multiple regression. Results showed a significant impact of economic and socio-cultural pull-factors like better employment opportunities, higher income probability, job security, easy access to facilities, better outlook and hope for the future, and comfortable and diverse lifestyle in causing immense urbanization. Nevertheless, desire for independence and access to basic social services appeared to have a negative impact. The proposed policy implications on significant pull-factors could be considered as a first step to handle uncontrolled urbanization. Moreover, the study is significant as it particularly contributes to apprehend Hyderabad’s various interrelated urban issues. In general terms, this research can be considered as a role model for high-density third world cities suffering from relatable urban malaise.
oai:ojs2.localhost:8089:article/606
2021-01-05T09:35:14Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/606
2021-01-05T09:35:14Z
Sukkur IBA University, Pakistan
Vol. 4 No. 2 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 22-27
The On Study Of Generalized Nonlinear Black Scholes Equation By Reduced Differential Transform Algorithm
Peer-reviewed Article
Solanki, Naresh kumar; IBA PUBLIC SCHOOL SUKKUR
shah, syed feroz; Basic Science and related science MUET, Jamshoro, Pakistan
shah, syed feroz; Basic Science and related science MUET, Jamshoro, Pakistan
2021-01-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/606
Nonlinear Black-Scholes model, PDE, differential transform algorithm
en_US
The objective of the work is essentially to construct an approximate solution of the generalization of nonlinear Black-Scholes partial differential equation, modeling price slippage impact of transaction coast option, through promising computational algorithm called Reduced Differential Transform Algorithm. This work also shows that the algorithm can be efficiently employed construct explicit solutions highly nonlinear equations arising in financial market. We have also shown a graphical behavior of the constructed solutions
oai:ojs2.localhost:8089:article/613
2021-01-05T09:35:14Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/613
2021-01-05T09:35:14Z
Sukkur IBA University, Pakistan
Vol. 4 No. 2 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 11-21
Optimization of Central Pattern Generator based Quadruped Animation using Time Series with Genetic Algorithm
Peer-reviewed Article
Bhatti, Zeeshan
Pitafi, Shahneela
Shabbir, Naila
2021-01-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/613
Central Pattern Generator
Quadruped Animation
Time Series
Genetic Algorithm
en_US
Generating believable quadruped motion is a challenging task for application like Games, Virtual Reality and Augmented Reality, where runtime user interaction is needed. In order to successfully generate the believable motion, the runtime or dynamic adjustment to motion gaits is essential. As the use of Central Pattern Generator (CPG) is vital in generating range of dynamic quadruped motions, the optimization is crucial for smooth motion curves. We use the Genetic Algorithm (GA) based tuning technique to optimize the motion curves generated through CPG. The quadruped motion generated through CPG is applied on Skeletal joints and then optimized through fitting the artificial motion parameters tuned using genetic algorithm. The results generated shows much smooth and stable quadruped motion with believable gait patterns.
oai:ojs2.localhost:8089:article/654
2021-01-05T09:35:14Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/654
2021-01-05T09:35:14Z
Sukkur IBA University, Pakistan
Vol. 4 No. 2 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 1-10
Yeh’s Satisfaction Index Modelling of Tenants in Rental Appartments (A Case Study of Latifabad Hyderabad)
Peer-reviewed Article
Gill, Rabia; Department of City and regional Planning, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
Kalwar, Saima; Department of City and regional Planning, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
Memon, Irfan Ahmed; Department of City and regional Planning, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
2021-01-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/654
Yeh’s satisfaction index; amenities; services; rent.
en_US
The population of urban areas has been rapidly growing for the last few decades, in this way the housing demand increasing including rental apartments in Pakistan, although the satisfaction of tenant toward particular apartment is a big challenge. A recent study on the United States showed that rental household spending constitutes about 25% of total household income, and housing wealth makes up 55% of household net worth which includes; services and facilities like; electricity bill, water supply bill, gas, sanitation, and other maintenance. There are also many problems like; income and affordability, lack of building bylaws. This study finds the satisfaction level of the tenant. A questionnaire survey is used to collect the data regarding particular research and the analysis is done in two parts: (1) analysis of frequency ranking of all amenities, services, and facility types, (2) Yeh’s satisfaction index model to find the satisfaction level of tenants toward particular amenity, service or facility. Findings show issues like; water supply, ventilation, sunlight, age of apartment, electricity, improper cleaning insufficient parking, minimum play area, isolation, over rent, price of services, maintenance, and management, suffocation, congestion, etc. This result implies that rents are more likely to base on provided amenities rather than unit size which reconfirms that rent is driven by amenities provided.
oai:ojs2.localhost:8089:article/655
2021-01-05T09:35:14Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/655
2021-01-05T09:35:14Z
Sukkur IBA University, Pakistan
Vol. 4 No. 2 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 28-37
Hybridization Techniques To Detect Brain Tumor
Peer-reviewed Article
Abrar, Muhammad; BZU Multan
Hussain, Asif; NCBA&E
Masroor, Roha; NCBA&E
Masroor, Ifra; NCBA&E
2021-01-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/655
en_US
Diagnosing brain tumor in present era through digital techniques need serious attention as the number of patients are increasing in an awkward manner. Magnetic Resonance Imaging is the tool that is used for detection of brain tumors. This paper is classified in two phases i.e. normal and abnormal brain images. Then, Feature selection and classification are applied on the given data set. Classification on given data set is done through K- Nearest Neighbor. In the given study, we have taken normal and abnormal samples from Nishtar Medical hospital, Multan. In order to classify brain images, first it needs to pre-process through skull stripping technique then the proposed algorithm is followed. Algorithm involves feature extraction through GLCM and feature selection through ACO. Results have proved its efficiency level up-to 88%.
oai:ojs2.localhost:8089:article/658
2021-01-05T09:35:14Z
sjcms:RWP
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/658
2021-01-05T09:35:14Z
Sukkur IBA University, Pakistan
Vol. 4 No. 2 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 49-60
Significance of National Spatial Planning for Economic Development of Secondary Cities in India: Critical Analysis of JNNURM Programme
Peer-reviewed Review Paper
Kalwar, Saima; Department of City and regional Planning, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
Memon, Irfan Ahmed; Mehran University of Engineering & Technology
Qureshi, Sabeen; Department of Architecture, Mehran University of Engineering & Technology
2021-01-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/658
Secondary cities; spatial planning; economic development, JNNURM; India.
en_US
Secondary cities are the vital economic link along with megacities in the system of cities of a nation. Whereas spatial planning and local economic development are the major factors in fostering the regional and national economic development. If the national spatial planning strategies failed to improve economic functions and linkages in the system of cities at a secondary cities level, the disparities among the regions will increase. This can result in a lagging regional economy. Therefore, the national government should develop innovate approaches to stimulate and manage the development of secondary cities. The main purpose of the paper was to critically review the spatial planning strategies carried out at the national level in the developing world. The selection of India as a case study country is based on population density and the presence of a vast network of secondary cities. The paper had critically reviewed the spatial planning strategies carried out in JNNURM national Programme to strengthen the local economic development of secondary cities during 1995-2015. The secondary data collection resources like research papers, reports and books were used to gather the required data. The results revealed that the JNNURM had focused only on the development of cluster secondary cities around megacities in order to reduce congestion and accommodate the rural immigrants. Unfortunately, the JNNURM neglected the sub-national (regional headquarter) secondary cities, which are vital players for regional economic development. Therefore, it was suggested that the Indian government should also initiate spatial planning strategies and programmes for the local economic development of sub-national secondary cities to achieve dual benefits: balanced regional and national economic development and balanced system of cities.
oai:ojs2.localhost:8089:article/673
2021-01-05T09:35:14Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/673
2021-01-05T09:35:14Z
Sukkur IBA University, Pakistan
Vol. 4 No. 2 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 38-48
Analyzing the Effects of Error Messages Presentation on Debugging and Programming
Peer-reviewed Article
Naveed, Muhammad Shumail; Department of Computer Science & Information Technology, University of Balochistan
Sarim, Muhammad; FUUAST Karachi
2021-01-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/673
compiler error messages; Java; introductory programming; debugging
en_US
Programming is a fundamental skill of computer science students. However, it can be troublesome to learn. It is notable that a programming error messages can be hard for beginners to comprehend, hampering progress and prompting disappointment. Effectively, translating compiler error messages is significant to rectify errors and advance toward victory in programming. However, these messages are often hard to understand and pose an obstruction to progress for many beginners. Descriptive messages are helpful for students in the beginning phase of learning a programming language. In this article the effect of error messages presentation on debugging and programming score is analyzed. The controlled experiment suggests that presentation of error messages can have a strong effect on debugging score and also helpful to increase the programming score. However, no correlation between debugging score and programming score is identified. On the whole a positive impact of the descriptive error messages is observed during the study.
oai:ojs2.localhost:8089:article/715
2021-01-05T09:35:14Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/715
2021-01-05T09:35:14Z
Sukkur IBA University, Pakistan
Vol. 4 No. 2 (2020): Sukkur IBA Journal of Computing and Mathematical Sciences (SJCMS); 61-68
An Indoor Tracking System using iBeacon and Android
Peer-reviewed Article
Moneer, Mohammed
Mahmoud Aljawarneh, Mahmoud; Szabist University - Hyderabad Campus
Dhomeja, Lachman Das; University of Sindh, Jamshoro
Laghari, Gulsher; University of Sindh, Jamshoro
Memon, Bisharat Rasool; University of Sindh, Jamshoro
2021-01-05
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/715
Location-aware systems; bluetooth low energy; iBeacon; Android
en_US
Context-aware applications use context to provide relevant information and services to users with minimal user intervention with the system. User location is such a context for location-aware services. While in the outdoor location-aware systems Global Positioning System can provide the user location within the accuracy of 20 meters, it lacks to precisely determine user location for indoor tracking systems. Thus, different other techniques and mechanisms have been proposed for indoor tracking systems, such as trilateration, triangulation, fingerprinting etc. However, they have added disadvantages including high cost and high-power consumption. To overcome such problems, iBeacon is a low-cost, low-power solution for such indoor tracking systems. In this paper, we explore the use of iBeacon for user tracking in an indoor user tracking system with a prototype implementation and evaluate the system on some general use cases. The prototype serves as a prelude towards the goal of developing context-aware (in particular, location-aware) applications.
oai:ojs2.localhost:8089:article/762
2022-03-07T11:09:01Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/762
2022-03-07T11:09:01Z
Sukkur IBA University, Pakistan
Vol. 5 No. 1 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS -January-June 2021 (ONLINE FIRST); 59-72
The Challenges Faced in the Collection and Disposal of Municipal Solid Waste (MSW) Management: A Case Study of Sanghar City
Peer-reviewed Article
Bhatti, Laraib; Department of City and regional Planning, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
Talpur, Mir Aftab Hussain; Department of City and regional Planning, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
Memon, Irfan Ahmed; Mehran University of Engineering & Technology
Chandio, Imtiaz Ahmed; Department of City and regional Planning, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
Shaikh, Fahad Ahmed; Department of City and regional Planning, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan
2021-04-27
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/762
Municipal solid waste
collection; disposal
quality of life
residential satisfaction
en_US
The rapid increase in urbanization and population, is generating massive solid waste (SW) in cities. Mismanagement of MSW collection is creating, health hazards, socio-economic problems, and deteriorating environments. This research aimed to examine the SWM problems and to identify SWM issues through the inhabitant's perspective and to propose a sustainable method to control, collect, treat, utilize and disposing of Municipal SW in Sanghar City. Hence, the objective of this study is to achieve through cluster sampling, For the residential questionnaire study, a sample size of 384 was obtained and descriptive statistics and regression and correlation analysis methods have been used to evaluate the data collected. As a result, the collection of MSW is quite inappropriate and constricted to the influential area and solid waste keeps on scattered throughout the remaining areas. In recent years, mismanagement MSW has become a major problem in Sanghar city. The key problems of SW in the city are indiscriminate disposal, improper collection, inadequate storage, and insufficient facilities. To address these issues, the management of the disposal of SW must be carried out with the complete participation of the respective communities.
oai:ojs2.localhost:8089:article/769
2022-03-07T11:09:01Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/769
2022-03-07T11:09:01Z
Sukkur IBA University, Pakistan
Vol. 5 No. 1 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS -January-June 2021 (ONLINE FIRST); 1-36
Breast Cancer Detection via Global and Local Features using Digital Histology Images
Peer-reviewed Article
Murtaza, Ghulam; University Malaya
Abdul Wahab, Ainuddin Wahid; 1Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia
Raza, Ghulam; Our Lady of Lourdes hospital Drogheda Ireland
Shuib, Liyana; Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia
2021-03-18
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/769
en_US
Globally, breast cancer (BC) is the prevailing cause of unusual deaths in women. Breast tumor (BT) is a primary symptom and may lead to BC. Digital histology (DH) image modality is a gold standard medical test for a definite diagnosis of BC. Traditionally, DH images are visually examined by two or more pathologists to come up with a consensus for authentic BC detection which may cause a high error rate. Therefore, researchers had developed automated BC detection models using a machine learning (ML) based approach. Thus, this study aims to develop a BC detection model through ten feature extraction methods which extract both local and global type features from publicly available breast histology dataset. The extracted features are sorted by their weights, which are computed by the neighborhood component analysis method. A feature selection algorithm is developed to find the minimum number of discriminating features, evaluated through seven heterogeneous traditional ML classifiers. The proposed ML-based BC detection model acquired 90% accuracy for the initial testing set using 51 Harris features. Whereas, for the extended testing set, only three Harris features is shown 93% accuracy. The proposed BC detection model can assist the doctor in giving a second opinion.
oai:ojs2.localhost:8089:article/772
2022-03-07T11:02:27Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/772
2022-03-07T11:02:27Z
Sukkur IBA University, Pakistan
Vol. 5 No. 2 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS ; 41-48
The Mathematical Model for searching the Shortest Route for TB Patients with the help of Dijkstra’s Algorithm
Peer-reviewed Article
Kamal, Muhammad Ayoub; University Kuala lumpur
Shahid, Muhammad
Khawar, Hammad
2021-12-28
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/772
en_US
In this research paper, we have studied TB (Tuberculosis) patients who come from different traffic routes in order to seek medical help and treatment in Karachi, Sindh, Pakistan. In this research work, we have focused on the transportation problems of the TB patients. These TB patients can travel on the paths having minimum distance as found out in this paper using Dijktra’s Algorithm.
People hope that they have better treatment opportunities and financial medical relief in the government and private hospitals in Karachi. There are many private hospitals in the city but unfortunately, they provide expensive treatments. As a consequence, people belonging to the poor or lower and middle classes approach government hospitals adequately. Among them, Nazimabad Chest Hospital for TB patients (under the supervision of Dow University of Health Sciences) is providing better facilities as compared to the other hospitals involved in providing medical treatments for the similar medical issues. Nazimabad Chest Hospital for TB patients is renowned for its high quality treatment of TB patients. The hospital is located inside Government Hospital Nazimabad (under the control of Dow University), Karachi. It has latest equipments, competent and qualified staff to treat TB patients. Patients have to visit the hospital on weekly basis from their homes and residences. They use several combinations of traffic routes to reach the hospital as these patients live in different areas like, Malir Cantt, Safari Park, Hassan Square, North-Nazimabad, North Karachi, Gulshan-e-Iqbal, etc. A path or road is required which takes the least amount of time and subsequently reduces the transportation charges. In this paper, an effort has been made to locate the shortest route for the convenience for these TB patients. In this paper, a mathematical model has been developed by using the method of Dijkstra’s algorithm to attain the desired objective.
oai:ojs2.localhost:8089:article/779
2022-03-07T11:02:27Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/779
2022-03-07T11:02:27Z
Sukkur IBA University, Pakistan
Vol. 5 No. 2 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS ; 14-24
Testing Salience Model on Work Family Interface: A Regression Analysis
Peer-reviewed Article
Arslan, Shumaila; University of Sindh
Tabassum, Dr. Muhammad Farhan
Memon, Dr. Muhammad
2021-12-28
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/779
en_US
The simultaneous arrangement of home and work life is important for all. Many who work at home, however, face difficulties in maintaining their work and domestic relations balance, since both fields are mixed together on a single roof. As telecoms technology progresses, the possibilities of working from home have been improved. Discussed the effects of working at-home solutions on the quality of work life of the individual. The current research examined in a sample of service workers from Pakistan an extended version of the differential salience model and a related salience model. The findings of this study help in part the model in a number of cultural and domestic contexts, but they also establish variations in domain resources and limit requirements. Strong job demands and the present situation of COVID-19 represent primarily technically the work-to-home interference (WtHI). Traveling tools have been identical in terms of reducing the WtHI and work-to-home enhancement (WtHE). WtHE was expected to be more likely because of the activation of personnel services. However, testing one's work had no big influence on WtHE. Moreover, unlike the theoretical model, restriction requirements at the interfaces between work and family have been found to be differential, not comparatively significant.
oai:ojs2.localhost:8089:article/806
2022-03-07T11:09:01Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/806
2022-03-07T11:09:01Z
Sukkur IBA University, Pakistan
Vol. 5 No. 1 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS -January-June 2021 (ONLINE FIRST); 73-88
A QR Code Based Group Pairing Approach for Mobile Ad Hoc Networks
Peer-reviewed Article
Malkani, Yasir Arfat; University of Sindh, Jamshoro
Malik, Moez Ahmed
Dhomeja, Lachhman Das
Memon, Bisharat Rasool
Mahesar, Abdul Waheed
2021-04-27
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/806
en_US
Due to the rapid growth of small and smart hand-held devices, mobile ad hoc networks (MANets) are becoming very common nowadays. MANets may consist of a number of small hand-held devices having limited resources in terms of memory, battery and processing power. In order to provide services to the users, these devices are capable of communicating with each other through some radio technology, such as WiFi, Bluetooth or Infrared. Since radio channels are inherently vulnerable to various security threats, it requires that devices in MANets must establish a secure association amongst themselves before exchanging any sensitive information or data. The process of establishing a secure channel between two devices is referred to as device pairing or device association. Device pairing do not rely on traditional mechanisms for security due to the impulsive and ad hoc interactions among the devices. Due to this, researchers have proposed many schemes/protocols to deal with this issue; however, the issue of group pairing (i.e. secure association of more than two devices) is less addressed issue in the literature yet. There could be many scenarios (such as confidential office meetings, paring of group of home appliances in smart-homes, etc) of MANets, where secure group communications is desired. Consequently, this research focuses on this issue and proposes a QR (quick response) code based scheme to establish a secure channel between a numbers of devices. The proposed system is implemented and tested on modern hand-held devices and a usability study of the implemented system is also carried out.
oai:ojs2.localhost:8089:article/811
2022-03-07T11:09:01Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/811
2022-03-07T11:09:01Z
Sukkur IBA University, Pakistan
Vol. 5 No. 1 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS -January-June 2021 (ONLINE FIRST); 53-58
The Design of Isolated Micro Grid Using Renewable Energy Resources with Energy Storage System via HOMER Software A Case Study of a Thar Community
Peer-reviewed Article
Kumar, Mahesh; Associate Professor, Dept. of Electrical Engineering, Mehran University of Engineering and Technology Jamshoro, Sindh
2021-03-18
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/811
en_US
Electricity is major requirement for each individual or group to live a prosper and good life, while unfortunately in Pakistan still there are some areas which does not have provision towards this facility. The microgrid is designed to power up those rural areas of Pakistan which does not have provision of electricity via conventional means. To achieve this feat this paper presents a case study of a Thar community or small village located in Thar, Sindh, Pakistan. The small village comprises of 40 houses, some shops and a primary school. The study area having latitude and longitude of 240 52.7’ N and 700 14.4’ E respectively. The microgid consists of a Diesel Generator, Photo voltaic solar panels, Batteries and Flywheel systems. The purpose is to find the most optimal solution using different parameters via Homer optimization software.
oai:ojs2.localhost:8089:article/817
2022-03-07T11:02:27Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/817
2022-03-07T11:02:27Z
Sukkur IBA University, Pakistan
Vol. 5 No. 2 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS ; 59-65
Orthognal Zones for Interference Migration in 2.4 GHz Mesh Backhaul
Peer-reviewed Article
abbasi, shazia; Faculty of engg. and technology
Khoumbati, Khalil
Memon, Muhammad
Memon, Shahzad
2022-01-01
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/817
Wireless Mesh Networks (WMN), Backhaul, Orthogonal,Non-orthogonal
en_US
Managing interference in the multi-radio networks is critical challenge; problem becomes even more serious in 2.4 GHz band due to minimal availability of orthogonal channels. This work attempts to propose a channel assignment scheme for interference zones of 2.4 GHz backhaul of Wireless Mesh Networks (WMN). The static nodes of Infrastructure based Backhaul employing directional antennas to connect static nodes, orthogonal channel zones introducing Interference are formatted with the selection of single tire direct hop and two tier directional hopes. The effort maintain the orthogonality of channels on system thus reduce the co-channel interference between inter flow and intra flow links. Group of non-overlapping channels of selected band are obtained by a mathematical procedure, interference is modeled by directed graph and Channel assignment is carried out with the help of greedy algorithms. Experimental analysis of the technical proposal is done by simulation through OPNET 14. Our framework can act as an imperative way to enhance the network performance resulting a leading improvement in system throughput and reduction in system delay
oai:ojs2.localhost:8089:article/840
2022-03-07T11:02:27Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/840
2022-03-07T11:02:27Z
Sukkur IBA University, Pakistan
Vol. 5 No. 2 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS ; 36-40
Ontology-Based Transformation and Verification of UML/OCL Constraints
Peer-reviewed Article
Hafeez, Abdul; Sindh Madressatul Islam University
Wagan, Asif Ali; Sindh Madressatul Islam University
Umrani, Aamir Iqbal; Sindh Madressatul Islam University
Javed, Samreen; Sindh Madressatul Islam University
2021-12-28
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/840
en_US
In Software Engineering (SE), the graphical models specify the system's architecture, connection, and characteristics. New SE methods such as MDA utilize graphical models as a nucleus of all development activities. This paper presents the transformation and verification of class diagram and Object Constraint Language (OCL) and transformation algorithm from Class model to ontology in the continuity of our research on UML and ontology integration. The class diagram is transformed into ontology, and constraints specified through OCL are transformed into SPARQL.
oai:ojs2.localhost:8089:article/864
2022-07-21T10:59:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/864
2022-07-21T10:59:46Z
Sukkur IBA University, Pakistan
Vol. 6 No. 1 (2022): Vol. 6 No. 1 (2022): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 72-78
Serious Game model for dyslexic children
Peer-reviewed Article
Bhatti, Zeeshan
Shabbir, Naila; Institute Of Information Communication Technology, University Of Sindh, Jamshoro, Pakistan
2022-07-21
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/864
Serious Games
Dyslexia
Cognitive Learning
Gamification
Special Needs Learning
Multimedia Learning
en_US
Dyslexia is a hidden neurological disorder in which children suffering with weak phonological awareness and that affects his/her poor academic records. A dyslexic child is quit intellectual and interestingly good in different fields of life but weak in language-based learning. They feel difficult to identify similar face letters which led them to misspell and wrong pronunciation. Serious gaming and cognitive learning through assistive applications emerged in the 21st century. Numerous serious gaming applications are developed to combat the issue for effective cognitive learning for dyslexic children and the degree of success is vary due to the lack of standard postulates to design and develop a novel system for such young hearts with pure entertainment that cure their cognitive weakness. It‟s quite difficult to claim that a serious game meets the standard learning pedagogy for a special group of users. This research paper proposed a serious gaming model for dyslexic children to pursue the issue of standard rules for serious gaming applications for developers to achieve effective learning outcomes.
oai:ojs2.localhost:8089:article/880
2022-03-07T11:02:27Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/880
2022-03-07T11:02:27Z
Sukkur IBA University, Pakistan
Vol. 5 No. 2 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS ; 1-13
Mathematical Analysis of Magnetized Rotating Nanofluid Flow Over nonlinear shrinking surface: Duality and Stability
Peer-reviewed Article
Dero, Dr Sumera; University of Sindh, Jamshoro
Talpur, Ghulam Hyder
Ghoto, Abbas Ali
Ali, Shokat
2021-12-28
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/880
en_US
In this study, the MHD effect on boundary layer rotating flow of a nanofluid is investigated for the multiple branches case. The main focus of current research is to examine flow characteristics on a nonlinear permeable shrinking sheet. Moreover, the governing partial differential equations (PDEs) of the problem considered are reduced into coupled nonlinear ordinary differential equations (ODEs) with the appropriate similarity transformation. Numerical results based on the plotted graphs are gotten by solving ODEs with help of the three-stage Labatto IIIA method in bvp4c solver in MATLAB. To confirm numerical outcomes, current results are compared with previously available outcomes and found in good agreement. Skin friction coefficients, Nusselt and Sherwood numbers, velocity profiles, temperature profiles, and concentration profiles are examined. The results show that dual (no) branches exist in certain ranges of the suction parameter i.e., SSc (SSc). Further, profiles of velocity decrease for rising values of Hartmann number in the upper branch, while reverse trend has been noticed in a lower branch. Profiles of temperature and concentration enhance for the increasing values of thermophoresis in both branches. stability analysis of the branches is also done and noticed that upper branch is a stable branch from both branches. Finally, it is noted that the stable branch has symmetrical behavior with regard to the parameter of rotation.
oai:ojs2.localhost:8089:article/883
2022-03-07T11:02:27Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/883
2022-03-07T11:02:27Z
Sukkur IBA University, Pakistan
Vol. 5 No. 2 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS ; 25-35
Analyzing Usability of Mobile Banking Applications in Pakistan
Peer-reviewed Article
Malik, Hafiz Abid Mahmood; Arab Open University Bahrain
Muhammad, Abdulhafeez; Department of Computer Science, Bahria University, Lahore, Pakistan
Sajid, Usama; Department of Computer Science, Bahria University, Lahore, Pakistan
2021-12-28
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/883
en_US
Usability is a key factor in the quality of the product, which includes ease of use, user satisfaction and the ability of the user to quickly understand the product without practice. As smartphone usage increases, most organizations have shifted their services to mobile applications, such as m-banking. Most of the people uses banking services but hesitate to use m-banking due to complex interfaces. Usability researchers concentrate on the value of design simplicity so that users can perform a particular task with satisfaction, efficiency, and effectiveness. If a mobile app lacks one of these usability features, users may get confused while using the app. This research examines the key usability issues in existing m-banking after checking the usability satisfaction level through System Usability Scale. To compare and highlight a number of usability issues, the researcher used two types of usability evaluation method 'User Testing' and 'Heuristic Evaluation'. In heuristic evaluation expert users used two M-banking apps i.e. Bank of Punjab (BOP) and MCB Islamic Bank (MIB) to evaluate them against Neilson 10 heuristics and extract the usability issues in apps. The user testing is then performed by novice users which includes tasks (translated from extracted problems by heuristic evaluation). After completion on whole testing users filled the post-test SUS’s questionnaire. The result shows that the overall success rate of the tasks was 83%, SUS score was 77 and overall relative time-based efficiency very 54.2%. The expert evaluators found 83% minor errors and 17% major errors. The finding of this paper shows usability problems and recommendations are provided to increase the usability of mobile banking applications at the end of this paper.
oai:ojs2.localhost:8089:article/885
2022-03-07T11:02:27Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/885
2022-03-07T11:02:27Z
Sukkur IBA University, Pakistan
Vol. 5 No. 2 (2021): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS ; 49-58
IMPACT OF PLAYING VIDEO GAMES ON COGNITIVE FUNCTIONING AND LEARNING STYLES
Peer-reviewed Article
Sattar, Sumera; Lahore College for Women
Iqbal, Prof Dr. Yasmeen
Yousaf, Rehan
2021-12-28
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/885
en_US
Video games are especially popular with teenagers and young adults as a form of entertainment, and their time spent playing video games has grown exponentially. The main purpose of this study was to assess the effect of video games on cognitive functions and learning style in young people. A cross-sectional research study was used to investigate cognitive function in teen video game players. Cognitive functions, including memory, attention, and executive functions, were applied to 80 adolescents who were divided into two groups: those who regularly played video games (50) and those who did not play (50). Other data, such as demographics, medical information, types of video games, and time spent playing video games, were collected through the questionnaire. No significant difference was identified between the groups in terms of age and sociodemographic variables. Results indicated that visual memory and visual learning type scores were significantly better in the play group. Participants who were playing video games regularly indicated significant differences in visual type of learning (p=0.000). Whereas, no significant differences were found in other learning styles aural (p=1.000) and verbal (p=1.000)
oai:ojs2.localhost:8089:article/924
2022-07-21T10:59:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/924
2022-07-21T10:59:46Z
Sukkur IBA University, Pakistan
Vol. 6 No. 1 (2022): Vol. 6 No. 1 (2022): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 1-15
Search Engine Optimization (SEO): A Study of important key factors in achieving a better Search Engine Result Page (SERP) Position
Peer-reviewed Article
Iqbal, Muhammad; Bahria University, Karachi
Khalid, Muhammad Noman; Bahria University, Karachi
Manzoor, Dr Amir
Abid, Malik Munib
Shaikh, Nazir Ahmed
2022-07-21
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/924
en_US
Search Engines (SEs) have become the most significant tool for retrieving information from the World Wide Web (WWW) against user-generated queries. Presently, the data available on the Internet is growing exponentially in three different dimensions i.e. size, processing power, & software intelligence. The WWW has evolved from being a collection of static content (web 1.0) to intelligent web (Web 3.0). To reach a large audience on the internet, it is now essential for every business to have a website. However, to reach more viewers, a website must be visible on top of the Search Engine Result Page (SERP).This paper introduces the important concepts of Search Engine Optimization (SEO) and provides numerous guidelines for website developers to enhance the visibility of their websites in the eyes of search engines. The paper also discusses the role of link building for optimizing websites.
oai:ojs2.localhost:8089:article/953
2023-01-30T08:27:53Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/953
2023-01-30T08:27:53Z
Sukkur IBA University, Pakistan
Vol. 6 No. 2 (2022): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 6, No. 2 | July – December 2022; 15-26
Collusion Detection using Predictive Functions based on Android Applications
Peer-reviewed Article
Soomro, Asad Hameed
Rajper, Samina ; Department of Computer Science, Shah Abdul Latif University, Khairpur Mirs, Pakista
Magsi, Aurangzeb; Shah Abdul Latif University
Abbas Mangi, Samar; Department of Computer Science, Shah Abdul Latif University, Khairpur Mirs, Pakista
Soomro, Aneela Jan; Computer Department, Government College for Women Khairpur Mirs, Pakistan
2023-01-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/953
Security, Android, Collision Detection, Formal Model, Predictive function
en_US
Android is used by most of the population of the users. It is an attractive target for malicious application developers due to its open source nature. These malicious writers are developing new trends to steal sensitive information from the devices. A new trend is represented as collision attack in this manner. During this attack different apps communicate via Inter-Process Communication (IPC) for variety of purposes. In this paper, a dynamic approach is proposed for automatic collision detection between communication applications. The focus of the study is on the sharing of multiple type data. Moreover, to select application for analyzing is difficult task to perform and two predictive functions has been used in this manner. The evaluation was performed on a dataset of 800 android applications for analyzing the colluding couples. The developed methodology produces an accuracy of 97.2% during the experiments by the developed system.
oai:ojs2.localhost:8089:article/983
2023-01-30T08:27:53Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/983
2023-01-30T08:27:53Z
Sukkur IBA University, Pakistan
Vol. 6 No. 2 (2022): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 6, No. 2 | July – December 2022; 1-7
E-Monitoring of Student Engagement Level using Facial Gestures
Peer-reviewed Article
Abdullah, Sohaib; MNS-University of Agriculture, Multan
Hakim, Ayesha; Muhammad Nawaz Sharif University of Agriculture, Multan
Razzaq, Abdul; MNS-University of Agriculture, Multan
Nadeem, Nasir; MNS-University of Agriculture, Multan
2023-01-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/983
face detection
feature extraction
YOLO
mAP
IoU
en_US
Student engagement is a key element to ensure effective learning process. In this work, we presented an automatic system for monitoring engagement level from students’ facial gestures. In this way, the tutor can analyse the engagement level of students and improve the teaching method and strategies to enhance learning process. There has been extensive research on automated classification of engagement level, but most of these methods rely mainly on expensive eye trackers or physiological sensors in controlled settings. The proposed system monitors and classifies engagement level of student based on YOLO algorithm by determining facial gestures, where students move freely and respond naturally to lectures and surroundings. The proposed model gives a mean average precision (mAP) of 0.65 on a complex dataset where students were allowed to move freely during lecture.
oai:ojs2.localhost:8089:article/1001
2022-07-21T10:59:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1001
2022-07-21T10:59:46Z
Sukkur IBA University, Pakistan
Vol. 6 No. 1 (2022): Vol. 6 No. 1 (2022): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 16-25
Finger-Vein Image Dual Contrast Adjustment and Recognition Using 2D-CNN
Peer-reviewed Article
Noroz, Noroz Khan Baloch; Dawood University of Engineering and Technology
Ahmed, Saleem Ahmed; Dept. of Computer System Engg. Dawood University of Engineering and technology Karachi, Pakistan.(
Kumar, Ramesh Kumar; Dept. of Computer System Engg. Dawood University of Engineering and technology Karachi, Pakistan
Bhatti, DM Saqib Bhatii; Dept. of Telecommunication at Dawood University of Engineering and Technology Karachi, Pakistan.
Rehman, Yawar Rehaman; Dept. of Electronic, NED UET Karachi, Pakistan.
2022-07-21
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1001
Two dimensional convolutional neural network
dual contrast limited adaptive histogram equalization.
en_US
The suggested process enhances the low contrast of the finger-vein image using dual contrast adaptive histogram equalization (DCLAHE) for visual attributes. The finger-vein histogram intensity is split out all over the image when dual CLAHE is used. For preprocessing, the finger-vein image dataset is obtained from the SDUMLA-HMT finger-vein database. Following the deployment of DCLAHE, the updated dataset is used to recognize objects using an improved 2D-CNN model. The 2D CNN model learns features by optimizing values of a preprocessed dataset. The accuracy of this model stands at 91.114%.
oai:ojs2.localhost:8089:article/1009
2022-07-21T10:59:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1009
2022-07-21T10:59:46Z
Sukkur IBA University, Pakistan
Vol. 6 No. 1 (2022): Vol. 6 No. 1 (2022): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 49-61
Deep Learning-Based Rice Leaf Diseases Detection Using Yolov5
Peer-reviewed Article
Muhammad Juman Jhatial; Institute of Computer Science, Shah Abdul Latif University Khairpur, Pakistan
Shaikh, Dr Riaz Ahmed; Department of Computer Science, Shah Abdul Latif University Khairpur Pakistan
Noor Ahmed Shaikh; Institute of Computer Science, Shah Abdul Latif University Khairpur, Pakistan
Samina Rajper; Institute of Computer Science, Shah Abdul Latif University Khairpur, Pakistan
Rafaqat Hussain Arain; Institute of Computer Science, Shah Abdul Latif University Khairpur, Pakistan
Ghulam Hussain Chandio; Quaid-e-Awam university Campus Larkana, Pakistan
Abdul Qadir Bhangwar; Institute of Computer Science, Shah Abdul Latif University Khairpur, Pakistan
Hidayatullah Shaikh; Institute of Computer Science, Shah Abdul Latif University Khairpur, Pakistan
Kashif Hussain Shaikh; Institute of Computer Science, Shah Abdul Latif University Khairpur, Pakistan
2022-07-21
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1009
Roboflow
Rice leaf disease
Deep learning
Yolvo5
en_US
The Rice crop in Agriculture field is playing an important role in economy of Pakistan and fulfilling the needs of living hood of human beings. The rice leaf faces several diseases like Bacterial Bligh, Brown Spot, Blast and Tungro. This research attempts to create a simple and best model for Rice leaf disease detection using deep learning model Yolov5. The model has been upgraded to v5 which is the latest version of Yolo. The performance and accuracy of object detection using Yolov5 is better than Yolov3 and Yolov4 models. This model is able to differentiate and successfully detect the rice leaf diseases. The Rice leaf images Dataset is downloaded from Kaggle website, the dataset contains 400 images of leaf infected by disease. This paper uses Google colab platform to train, validate and test the model for Rice Leaf disease detection. All necessary steps to be implemented, the rice leaf disease are detected and fully described. The developed model utilize epochs: 100. The experimental results show that the deep learning model created with 100 epochs has shown the best performance with precision, recall, and mAP value of 1.00, 0.94, and 0.62, respectively.
oai:ojs2.localhost:8089:article/1027
2022-07-21T10:59:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1027
2022-07-21T10:59:46Z
Sukkur IBA University, Pakistan
Vol. 6 No. 1 (2022): Vol. 6 No. 1 (2022): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 62-71
A Hybrid BRNN-ARIMA Model for Financial Time Series Forecasting
Peer-reviewed Article
Muhammad Najamuddin; Federal Urdu University of Arts, Sciences & Technology
Samreen Fatima; University of Karachi
2022-07-21
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1027
Exchange rate, Bayesian regularized neural network, ARIMA, random walk
en_US
The accurate forecasting of time series is difficult and for exchange rate more difficult as well. Because it is difficult to predict as they continuously fluctuate during trading hours. Exchange rate forecasting plays a vital financial problem in recent era. It is extensively acknowledged that exchange rate stability implies that macroeconomic stability. In this study, a hybrid model is proposed to forecast exchange rates. Bayesian regularized neural network (BRNN) model is assembled with Autoregressive integrated moving average model (ARIMA) and develop hybrid BRNN-ARIMA model. Furthermore, the comparison of proposed hybrid model has been done with standalone BRNN, standalone ARIMA and random walk model. Quarterly exchange rate data from 1970Q1 to 2021Q2 of six countries comprises developed (UK, Canada, and Singapore) and developing (Pakistan, India, and Malaysia) are forecast. To evaluate the performance of these models RMSE, MAE and MAPE are applied. The results indicate that the proposed hybrid BRNN-ARIMA model outperforms the other studied model in forecasting exchange rates.
oai:ojs2.localhost:8089:article/1046
2022-07-21T10:59:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1046
2022-07-21T10:59:46Z
Sukkur IBA University, Pakistan
Vol. 6 No. 1 (2022): Vol. 6 No. 1 (2022): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 26-41
Estrus Detection in Dairy Cows from Location and Acceleration Data using Machine Learning
Peer-reviewed Article
Jahangir, Rashid
2022-07-21
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1046
en_US
Accurate and timely detection of estrus, in cows, in dairy farms is very important for reproduction, health and milk production. Traditional estrus detection methods like manual observation and chin head chalking are outdated and not suitable for the dairy farm because of large number of animals. A lot of automated estrus detection methods have been proposed like milk yield fluctuation, milk progesterone detection etc., but they are either too complex to implement or have low detection rate. Whereas, the proposed estrus detection method can be easily implemented, cheaply and accurately. This method uses features extracted from 3D acceleration data, obtained using accelerometer attached to cow’s neck. The data is then clustered using k-means into 3 clusters. Categories are assigned based on data variance. As a result, the three clusters are categorized as: low activity, medium activity, or high activity. Based on this information, activity index is calculated and then it is used for the estrus detection. Machine learning classifiers including SVM, and D-trees are used for the activity recognition. SVM and D-tree demonstrate an accuracy of 96% and 86% respectively.
oai:ojs2.localhost:8089:article/1061
2022-07-21T10:59:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1061
2022-07-21T10:59:46Z
Sukkur IBA University, Pakistan
Vol. 6 No. 1 (2022): Vol. 6 No. 1 (2022): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 42 - 48
Dengue Vector Surveillance using Acoustic Signals through Sequential Model of Convolutional Neural Networks
Peer-reviewed Article
Hasham, Ahmad ; MNS-University of Agriculture, Multan
Hakim, Ayesha; Muhammad Nawaz Sharif University of Agriculture, Multan
Jabeen, Javeria; MNS-University of Agriculture, Multan
Naseem, Samra; MNS-University of Agriculture, Multan
2022-07-21
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1061
Aedes Aegypti
CNN
Mel-frequency
Mobile application
Sequential model
en_US
Dengue fever is among the most dangerous infectious viral diseases transmitted through the bite of infected Aedes Aegypti mosquitoes. One way to decline the spread of dengue is by raising awareness to the community about mosquito habitats through continuous surveillance. The traditional surveillance techniques of Aedes Aegypti are difficult, time taking, and can lead to severe health risks. This paper presents a possible way of dengue vector surveillance through acoustic signals generated by wingbeat of Aedes Aegypti using the sequential model of convolutional neural network. Mel-frequency spectrum is given as an input feature to the sequential model that significantly improves classification performance up to 93% accuracy. The system generates notification through a specially designed mobile application to alert detected dengue vectors in the region. It is helpful in continuous monitoring of dengue vectors to take early precautionary measures for effective control and prevention.
oai:ojs2.localhost:8089:article/1109
2022-07-21T10:59:46Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1109
2022-07-21T10:59:46Z
Sukkur IBA University, Pakistan
Vol. 6 No. 1 (2022): Vol. 6 No. 1 (2022): Sukkur IBA Journal of Computing and Mathematical Sciences-SJCMS; 79-90
EFFECTS OF GADGETS ON STUDENTS’ ACADEMIC PERFORMANCE AT SECONDARY LEVEL IN ISLAMABAD
Peer-reviewed Article
Muhammad Asif Chuadhry, Dr.; Shifa Tameer-e-Millat University, Islamabad
Bhatti , Muhammad Ghazanfar ; Higher Education Commission
Chuadhry, Sumaira Liaqut ; Principal, IMSG, Federal Directorate of Education, Islamabad
2022-07-21
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1109
Keywords: Teachers, Electronics, Gadget, Performance, Academic, School
en_US
Abstract
This research aimed to evaluate the usage of gadgets in demographic variations regarding gender among secondary school students form urban and rural areas of Islamabad. The detail review of the literature was taken on the uses of electronic gadgets. The positive and negative uses of the electronics were discussed in the society. To explore the effects of electronic gadgets on academic performance of secondary school students, structured questionnaire was designed to collect the data. All questionnaire consisted on the Likert scale. The students’ responses were tabulated, analyzed and interpreted by using percentage and mean score. Linear Regression was used for calculating the impact level of variables using SPSS package. Independent sample t test was opted to validate the findings of this study. The data was further segregated to analyze the difference of academic performance in female and male students. The findings of the study revealed that the use of gadgets has positive effect on their learning capabilities and ultimately contributing to their academic performance. It is recommended that the positive use of gadget should be promoted and there must be implemented some regulations to ban the negative use of electronic gadgets.
oai:ojs2.localhost:8089:article/1160
2023-01-30T08:27:53Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1160
2023-01-30T08:27:53Z
Sukkur IBA University, Pakistan
Vol. 6 No. 2 (2022): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 6, No. 2 | July – December 2022; 8-14
IoT based smart solar PV monitoring system; A Cost Effective and reliable solution
Peer-reviewed Article
Ali, Mohammad Imran; UET Peshawar KPK
Maaz Allah; TIB –Leibniz Information Centre for Science and Technology, Hannover, Germany
Dost, Shahi; TIB –Leibniz Information Centre for Science and Technology, Hannover, Germany
Ullah, Noor; Department of Mechanical Engineering, University of Engineering and Technology, (UET), Peshawar KPK Pakistan
2023-01-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1160
en_US
The current world demands for sustainable and eco-friendly energy sources as the conventional energy sources (mainly fossil fuels) are depleting day by day. Therefore, there has been a great focus on Renewable Energy Sources (RES) in the recent years of which solar photovoltaic, PV energy is one of the potential candidates. Since solar energy is sporadic in nature and its output depends on various meteorological parameters such has the intensity of sunlight on solar panels or soiling on PV panels and any defect or damage to the PV-panel can affect the PV-panel efficiency and desired yield. Therefore, parameters of the PV systems have to be supervised remotely that should offer the stockholders to increase the yield and efficiency at reduced cost and minimum human interventions. Internet of Things (IoT) is the best candidate for such systems offering improved supervision, data acquisition and preventive maintenance at low cost.
oai:ojs2.localhost:8089:article/1170
2023-01-30T08:27:53Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1170
2023-01-30T08:27:53Z
Sukkur IBA University, Pakistan
Vol. 6 No. 2 (2022): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 6, No. 2 | July – December 2022; 27-38
Impact of Blockchain Technology in Modern Banking Sector to Exterminate the Financial Scams
Peer-reviewed Article
Bhatti , Muhammad Ghazanfar ; Quality Assurance Agency, Higher Education Commission Pakistan,
Shah, Rizwan Ali ; Islamia University, Bahawalpur
Chuadhry, Muhammad Asif; Shifa Tameer-e-Millat, University, Islamabad
2023-02-20
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1170
en_US
The paper examined the use of blockchain in banking sector. With the increase of user’s interest in banking sector, transactions are conducted online or via physical credit scanners. Banking sector is easy target for the hackers. Unauthorized person can hostage the bank data by using cyber security threats such as phishing attack, Ransomware attack, and Denial of Service (DoS). The only solution to secure the customer precious data is blockchain. It has the potential to considerably decrease costs and it can completely alter the banking industry. The present centralized banking system can be strengthened using blockchain technology. Due to the transparency, auditability, immutability, operational resilience and data encryption essential in blockchains, it can secure the cyber security, forbid crooked actions and perceived tampering of data. Blockchain technology will deal the movement in the banking industry and associated facilities in prevailing area. Correspondingly inspecting cases both at home and abroad, it might be recognized areas that blockchains are used aggressively, utilized in banking sections are growing into remittance, resolution, smart contracts and reliability. Multi-factor authentication (MFA) technique is used to find the legitimate users by demanding a user to conform multiple identification information. The username and password can easily be hacked by unauthorized person, so we create a new authentication method that can’t be hacked with the help of Blockchain Techn[1]ology.
1Deputy Director Quality Assurance Agency, Higher Education Commission, Islamabad, Pakistan.
2Deptt. Of CS & IT, The IUB, Bahawalpur, Pakistan
3 Department of Management Sciences, Shifa Tameer-e-Millat University, Islamabad.
oai:ojs2.localhost:8089:article/1223
2023-02-04T05:38:45Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1223
2023-02-04T05:38:45Z
Sukkur IBA University, Pakistan
Vol. 6 No. 2 (2022): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 6, No. 2 | July – December 2022; 39-55
Impact of Electromagnetic Pollution on human health and environment a case study in Pakistan
Peer-reviewed Article
Shaikh, Mubashir Muhammad; Institute of Business Management
Majid, Imran; Institute of Business Management
2023-02-20
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1223
en_US
All living things, including people, plants, animals, and, in fact, all of God's creatures, need to connect with one another to maintain their life cycles. They are constrained inside their predetermined realm and have several methods to interact with one another. Technology becomes more engaged in communication over time, and human productivity rises as a result, such as when signals are converted into understandable communications. Since people desire to be involved in whatever they do, Radio Frequency (RF), a form of electromagnetic wave technology, has been developed for communication. RF-based communication technology makes life easier for people, but the exponential growth in demand for the technology has led to high levels of engagement with communication devices—something that is undoubtedly harmful to people and other living things.
The participation and prolonged use of RF devices expose people to more live things that have an impact on their health and the environment. In this study, we will assess the direct and indirect effects of heavy electromagnetic pollution on the ecosystem and the health of living things. The Pakistan region has been chosen since it is among the world's most densely inhabited regions in terms of sample size. When Metaverse is made available to everyone, especially in Pakistan, the metaverse starts generating electromagnetic radiation, which will have a significant influence on electromagnetic pollution, although no research has been able to demonstrate the relationship in comparison to the metaverse.
oai:ojs2.localhost:8089:article/1249
2023-08-30T08:24:00Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1249
2023-08-30T08:24:00Z
Sukkur IBA University, Pakistan
Vol. 7 No. 1 (2023): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 7, No. 1 | January – June 2023; 12-29
A Software Projects Crest and Trough in Pakistan: A Management Spectrum
Peer-reviewed Article
iqbal, Salwa; Federal Urdu University
Sheikh, Kashif Raffat; Federal Urdu University of Science, Arts and Technology
Muhammad Sarim; Federal Urdu University of Science, Arts and Technology
2023-08-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1249
Pakistani software houses
, Software project management
Project success and failure factors
en_US
Software industry has become as popular factor in the progress triumph of every country. Software project management techniques are significantly applicable in the development cycle of software projects. Despite that software projects face many tarnished reputations of poor performance in terms of schedule, budget, quality, and many other management and controlling correlated factors. Influencing factors which makes the software project successful are under the prominence of extensive research for more than the 40 years. Still, most of the relevant research in this territory has focused on developing countries with little consideration of less advanced countries. The purpose of this paper is to explore the success and failure factors in the Pakistani software environment using Qualitative research analysis approach. For this purpose, almost thirty software houses were targeted from four provinces of Pakistan and collected perception-based data through questionnaires and interviews from related personals. We further elaborate and compare some critical factors from past literatures in this research. Finally, the outcomes and findings showed better management and development aspects for a healthy software project growth in the domain of Pakistan. The importance of this research is to cover both theoretical and practical dimensions of software project management. We have found that proper scheduling, appropriate estimation of cost and time, Agile methodology, RMMM (risk mitigation, monitoring, management) approach, team bonding, team or staff motivational and communication factors significantly affected on successful projects.
oai:ojs2.localhost:8089:article/1259
2023-08-30T08:24:00Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1259
2023-08-30T08:24:00Z
Sukkur IBA University, Pakistan
Vol. 7 No. 1 (2023): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 7, No. 1 | January – June 2023; 1-11
Air quality forecasting based on machine and deep learning models: an IoT application
Peer-reviewed Article
Khalid Khan; Karachi Institute of Economics and Technology
Alim, Muhammad Affan; Karachi Institute of Economics and Technology
Humayun Qureshi; Data Log
Imran Sabir; SEPA
Ibrahim Hassan; Karachi Institute of Economics and Technology
2023-08-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1259
IOT
Machine Learning
Deep Learning
Air Quality
en_US
Harmful gasoline and particulate objects that exist in the air and above the cut-off values are dangerous for human, animal, and plant health. Essentially, it leads to lung cancer, throat infection, heart attack, and other diseases. The early forecasting of these objects may help for precautions of safety. In this paper, it is proposed to use the regression-based model auto regression integrated moving average (AIRMA) and deep learning-based model long short-term memory (LSTM) for air quality prediction. The air quality forecasting performance also depends on the quality of the available dataset. In this study, real-time data is collected from 10 different locations based on an IoT system, which is developed locally for a funded project of the Higher Education Commission (HEC). The main idea of this study is to validate the real-time collected dataset. Two objects, particulate PM2.5, and gasoline Ammonia are considered for four different locations for forecasting. Due to several issues such that electricity, Wi-Fi, sensor calibration, and collected data are not in their finest position. A number of prepossessing steps are applied to raw data to bring it into a usable form. Regardless of these issues, proposed models based on data collected by IoT system, outperform two air objects PM2.5 and Ammonia. For the case of Ammonia, an RMSE value of 0.562 is obtained which is very low to the mean value of 5.15 which indicates high performance. Similarly, very close values of 0.186 and 0.133 of RMSE and MAE were achieved respectively, and reflect the low variance in error. The LSTM-based experiment for Ammonia prediction, comparable to a very low RMSE value of 1.948 is achieved from the corresponding mean. A very small difference value of 0.287 between RMSE and MAE is obtained indicating a low variance in predicting error and high precision.
oai:ojs2.localhost:8089:article/1261
2023-08-30T08:24:00Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1261
2023-08-30T08:24:00Z
Sukkur IBA University, Pakistan
Vol. 7 No. 1 (2023): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 7, No. 1 | January – June 2023; 30-38
Analysis of Sindh School Monitoring System Smartphone App of Government Schools of Sindh
Peer-reviewed Article
Halepoto, Imtiaz Ali; Department of Software Engineering, QUEST Nawabshah
Kaleem Ghori
Fayaz Ahmed Memon
Ali Raza
Baqir Ali Zardari
2023-08-30
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1261
en_US
The attendance of employees is crucial in both public and private organizations as it indicates their dedication. In the schools of Government of Sindh the monitoring of attendance of teachers has become increasingly challenging, for that, the Government of Sindh has introduced an android based smart phone app called the Sindh School Monitoring Management System (SSMS app) in April 2016 to collect, analyze and disseminate the real-time data regarding school, teachers and students. The app was implemented in 15 districts in the first phase and has since been expanded to cover the entire province, resulting in improved teachers attendance, education quality and school monitoring at government schools. Previously, attendance was tracked manually, which was not secured and had flaws such as teachers not adhering to policy for signature, timing and signing in advance. While the SSMS app has improved the performance, it still faces implementation and design challenges. This research examines the SSMS app in detail, highlighting its weaknesses and aiming to improve its efficiency through a questionnaire designed with input from experts. An analysis is presented based on the feedback of monitoring assistants (MAs) on the indicators such as teacher’s attendance, punctuality, multi modal representation of SSMS, monitoring, data collection, data loading, data fetching.
oai:ojs2.localhost:8089:article/1304
2023-12-20T06:48:32Z
sjcms:ART
v2
http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1304
2023-12-20T06:48:32Z
Sukkur IBA University, Pakistan
Vol. 7 No. 1 (2023): Sukkur IBA Journal of Computing and Mathematical Science -Vol. 7, No. 1 | January – June 2023; 51-59
A Novel Approach Toward Algorithm Architecture Co-Optimization for the Application of Adaptive Noise Cancellation for Wireless Communication
Peer-reviewed Article
Pathan, Dr Aneela; Quaid-e-Awam University Of Engineering ,Science and Technology Campus Larkana
2024-01-18
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.
url:http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/1304
en_US
As FPGA has been in trend for a few decades in prototyping simple to complex DSP systems, some issues are still highlighted in FPGA-based implementations. One issue is the limited resources mounted onboard. Optimization has always remained a choice of developers, either hardware or software-based. Algorithm architecture co-optimization is a domain that incorporates some changes in existing algorithms besides bringing some ways to produce compact architecture. One of the methods in architecture optimization is to use short-word length-based DSP systems that use a sigma-delta modulation (SDM) approach to reduce the actual data word length from multi-bit to single-bit. SDM in the design causes the system to become compact and efficient. This paper produces algorithm architecture co-optimization for the application of adaptive noise cancellers for wireless communication. The algorithm taken is SDM-based Steepest-Descent, and its implementation is compared with the new proposed SDM-based correlation-less design. Both approaches are simulated in MATLAB, and their functional verification is carried out along with comparing some statistical parameters, including SNR, MSE, and PE. Besides, both the designs are translated on Vertex-7 FPGA to verify the less resources consumed by the proposed method. The MATLAB and FPGA-based results indicate that the proposed design may be the best choice for less sensitive applications, like voice or video.
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