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무하마드아미르Saleem ( Muhammad Aamir Saleem ),무하마드우스만Saleem ( Muhammad Usman Saleem ),KifayatUllah칸 ( Kifayat Ullah Khan ),( S. Y. Lee ) 한국정보처리학회 2012 한국정보처리학회 학술대회논문집 Vol.19 No.2
The growth in number and capacity of smart devices such as GPS enabled smart phones and PDAs present an unparalleled opportunity for diverse areas of life. In this paper we propose an approach for vehicle theft protection using GPS based trajectory anomaly detection. The detailed methodology of the proposed system is briefly described in this paper.
Effect of Peritectic Banded Structure on Magnetic Properties of SmCo<SUB>5</SUB> Sintered Magnets
Saleem Akhtar,A. Nusair Khan,Mushtaq Khan,Syed Husain Imran Jaffery,Arslan Saleem 한국자기학회 2020 Journal of Magnetics Vol.25 No.4
SmCo5 is well known for its high coercivity. However, still room is available to increase the coercive power of SmCo5, since the theoretical values of the compound is far higher than the achieved values. Different attempts, in this regard, have been made either by controlling the microstructure or the chemical composition. However, it is noted that no or very few literature is available regarding the control of microstructure through solidification. Three types of SmCo5 compound were prepared through induction melting technique so that final solidification be manipulated by controlling the mold temperature. Fractrographic analysis revealed a unique peritectic structure in SmCo5 compound. It was observed that the peritectic plates, having nano-size thickness, remain present even after high temperature sintering operation. The nano-scale peritectic plates may affect the final magnetic properties, especially the coercivity of the subject compound.
Samina Saleem,Hussain Saleem,Abida Siddiqui,Umer Sheikh,Muhammad Asim,Jamshed Butt,Ali Muhammad Aslam International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.7
Web science, a general discipline of learning is presently at high demand of expertise with ideas to develop software-based WebApps and MobileApps to facilitate user or customer demand e.g. shopping etc. electronically with the access at their smartphones benefitting the business enterprise as well. A worldwide-computerized reservation network is used as a single point of access for reserving airline seats, hotel rooms, rental cars, and other travel related items directly or via web-based travel agents or via online reservation sites with the advent of social-web, e-commerce, e-business, from anywhere-on-earth (AoE). This results in the accumulation of large and diverse distributed databases known as big data. This paper describes a novel intelligent web-based electronic booking framework for e-business with distributed computing and data mining support with the detail of e-business system flow for e-Booking application architecture design using the approaches for distributed computing and data mining tools support. Further, the importance of business intelligence and data analytics with issues and challenges are also discussed.
Data Science and Machine Learning Approach to Improve E-Commerce Sales Performance on Social Web
Hussain Saleem,Khalid Bin Muhammad,Altaf H. Nizamani,Samina Saleem,M. Khawaja Shaiq Uddin,Syed Habib-ur-Rehman,Amin Lalani,Ali Muhammad Aslam International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.8
E-Commerce is a buzzword well known for electronic commerce activities including but not limited to the online shopping, digital payment transactions, and B2B online trading. In today's digital age, e-commerce has been playing a very important and vital role in areas such as retail shopping, sales automation, supply chain management, marketing and advertisement, and payment services. With a huge amount of data been collected from various e-commerce services available, there are multiple opportunities to use that data to analyze graphs and trends. Strategize profitable activities, and forecast future trade. This paper explains a contemporary approach for collecting key data metrics and implementing cost-effective automation that will support in improving conversion rates and sales performance of the e-commerce websites resulting in increased profitability.
Hussain Saleem,Kiran Fatima Mehboob Ali Bana,Samina Saleem International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.6
Objectives: To compare the levels of anxiety on GAD-7 scale among undergraduates of dental, medical and engineering students during COVID-19. The secondary objectives were to correlate the factors influencing level of anxiety and to assess the coping strategies practiced by undergraduates' students of Karachi duri.ng COVID-19 outbreak. Methodology: The cross-sectional based survey was conducted online among the medical, dental and engineering undergraduates' university students of private sector in Karachi through purposive sampling technique during COVID-19 lock down period. The GAD-7 validated tool was used along with the demographic variables, related stress factors and the coping skills practiced during this outbreak. Total 571 questionnaires were found completed in all sections. The data was analyzed on SPSS version 23. P-value <0.05 was considered as statistically significant. Results: The mental health of the students was assessed on GADS-7 scale as normal, mild, moderate and severe levels. From the total (n=18-3.2%) were normal, (n=132-23.1%) had mild, (n=343-60.1%) had moderate and (n=78-13.7%) had severe anxiety level on GADS-7. The levels of anxiety on GAD-7 scale were all positively associated with the related stressors at p-value of 0.000. Moreover the results depicted that there was a moderate and positive correlation found (0.456, 0.447, 0.512 and 0.452) for all related stressors and GAD-7 scale. Taking breaks from watching, reading news regarding the outbreak of COVID-19, meditation and engaging in some other activities were the most frequently used coping strategies for all levels of anxiety among three cohorts of undergraduates'. Conclusion: Undergraduates has shown 96.9% drastically increased level of anxiety during the outbreak of COVID 19 pandemic. Taking breaks from watching, reading news regarding the outbreak of COVID-19 was the most frequent behavior practiced by the students.
High Quality Network and Device Aware Multimedia Content Delivery for Mobile Cloud
( Muhammad Saleem ),( Yasir Saleem ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.10
The use of mobile devices is increasing in multimedia applications. The multimedia contents are delivered to mobile users over heterogeneous networks. Due to fluctuation in bandwidth and user mobility, the service providers are facing difficulties in providing Quality of Service (QoS) guaranteed delivery for multimedia applications. Multimedia applications depend on QoS parameters such as delay, bandwidth, and jitter to offer better user experience. The existing schemes use the single source and multisource delivery but are unable to balance between stream quality and network congestion for mobile users. We proposed a Quality Oriented Multimedia Content Delivery Scheme (QOMCDS) for the mobile cloud to deliver better quality multimedia contents for the mobile user. The multimedia contents are delivered to the mobile device based on the device’s parameters and network environment. The objective video quality assessment models like Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), and Video Quality Measurement (VQM) are used to measure the quality of the video. The client side Quality of Experience metric such as Startup delay, Rebuffering events, and Bitrate switch count was used for evaluation. The proposed scheme is evaluated using dash.js and is compared to existing schemes. The results show significant improvement over existing multimedia content delivery schemes.
Hussain Saleem,Jamshed Butt,Altaf H. Nizamani,Amin Lalani,Fawwad Alam,Samina Saleem International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.2
The issue "Exploring Social Media and Other Crucial Success Elements of Attitude towards Politics and Intention for Voting in Pakistan" is a huge study embracing more issues. The politics of Pakistan is basically the politics of semantic groups. Pakistan is a multilingual state more than six languages. There are 245 religious parties in Pakistan, as elaborated by the Daily Times research. The use of social media sites in Pakistan peaked to its maximum after announcement of election schedule by the Election Commission of Pakistan in March 22, 2013. Most of the political parties used it for the recent elections in Pakistan to promote their agenda and attract country's 80 million registered electors. This study was aiming to investigate the role of social media and other critical variables in the attitude towards politics and intention for voting.
Towards Low Complexity Model for Audio Event Detection
Saleem, Muhammad,Shah, Syed Muhammad Shehram,Saba, Erum,Pirzada, Nasrullah,Ahmed, Masood International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.9
In our daily life, we come across different types of information, for example in the format of multimedia and text. We all need different types of information for our common routines as watching/reading the news, listening to the radio, and watching different types of videos. However, sometimes we could run into problems when a certain type of information is required. For example, someone is listening to the radio and wants to listen to jazz, and unfortunately, all the radio channels play pop music mixed with advertisements. The listener gets stuck with pop music and gives up searching for jazz. So, the above example can be solved with an automatic audio classification system. Deep Learning (DL) models could make human life easy by using audio classifications, but it is expensive and difficult to deploy such models at edge devices like nano BLE sense raspberry pi, because these models require huge computational power like graphics processing unit (G.P.U), to solve the problem, we proposed DL model. In our proposed work, we had gone for a low complexity model for Audio Event Detection (AED), we extracted Mel-spectrograms of dimension 128×431×1 from audio signals and applied normalization. A total of 3 data augmentation methods were applied as follows: frequency masking, time masking, and mixup. In addition, we designed Convolutional Neural Network (CNN) with spatial dropout, batch normalization, and separable 2D inspired by VGGnet [1]. In addition, we reduced the model size by using model quantization of float16 to the trained model. Experiments were conducted on the updated dataset provided by the Detection and Classification of Acoustic Events and Scenes (DCASE) 2020 challenge. We confirm that our model achieved a val_loss of 0.33 and an accuracy of 90.34% within the 132.50KB model size.