An Intelligent Monitoring System of Vehicles on Highway Traffic

Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. A poor management results in frequent traffic jam, traffic rules violation and fatal road accidents. Using traditional techniques of RADAR, LIDAR and LASAR to address this problem is time-consuming, expensive and tedious. This paper presents an efficient framework to produce a simple, cost efficient and intelligent system for vehicle speed monitoring. The proposed method uses an HD (High Definition) camera mounted on the road side either on a pole or on a traffic signal for recording video frames. On the basis of these frames, a vehicle can be tracked by using radius growing method, and its speed can be calculated by calculating vehicle mask and its displacement in consecutive frames. The method uses pattern recognition, digital image processing and mathematical techniques for vehicle detection, tracking and speed calculation. The validity of the proposed model is proved by testing it on different highways.Comment: 5 page

Clinical Outcomes of physiologically-guided revascularisation

Objective: To assess the clinical outcomes of revascularisation based on fractional flow reserve (FFR) and/or instantaneous wave-free ratio (iFR).Study design: Descriptive study.Place and duration of study: Department of Medicine, The Aga Khan University Hospital, Karachi from January 2012 to January 2020.Methodology: A cohort of patients having moderate to severe coronary stenosis, undergoing coronary revascularisation based on invasive physiological assessment (FFR or iFR) were assessed. The participants were divided into the revascularisation-deferred group and the revascularization-performed group, based on the physiological results. Cox-proportional hazard model building was done, using a stepwise approach by assessing all plausible interactions and considering p-value ≤0.05 as statistically significant.Results: The frequency of major adverse cardiac event (MACE) and target vessel revascularisation was 8.4% and 3.2% in the revascularisation-performed group as compared to 6.4% and 3.2% in the revascularisation-deferred group. In adjusted models, no statistically significant difference was noted in MACE when comparing the revascularisation-performed group with a deferred group.Conclusion: Revascularisation guided by invasive physiological assessment with FFR or iFR is clinically safe and led to better resource utilisation. Key Words: Fractional flow reserve, Instantaneous wave-free ratio, Invasive physiological assessment, Low-middle income country

The Nature of Motivation in Saudi EFL Context: An Overview

This article reviews past research done on English as a foreign language learning motivation in Saudi Arabian universities from the last twenty years, in order to evaluate its impact on learning process and to find out the nature of motivation of EFL learners. It focuses on the studies of psychological theories of motivation which were tested in FL classrooms for their validation in Saudi universities. It has been observed that there are significant changes in EFL learners’ learning level of motivation at different times in different contexts. Additionally, this review emphasizes the complexities seen in the relationships between teaching and learner motivation. Eventually, an attempt is made to clarify certain emerging truths and point out the most promising research directions. Keywords: Motivation; EFL learning process; Saudi Arabian universities DOI: 10.7176/JLLL/98-05 Publication date:September 30th 202

Systematic analysis of software development in cloud computing perceptions

Cloud computing is characterized as a shared computing and communication infrastructure. It encourages the efficient and effective developmental processes that are carried out in various organizations. Cloud computing offers both possibilities and solutions of problems for outsourcing and management of software developmental operations across distinct geography. Cloud computing is adopted by organizations and application developers for developing quality software. The cloud has the significant impact on utilizing the artificial complexity required in developing and designing quality software. Software developmental organization prefers cloud computing for outsourcing tasks because of its available and scalable nature. Cloud computing is the ideal choice utilized for development modern software as they have provided a completely new way of developing real-time cost-effective, efficient, and quality software. Tenants (providers, developers, and consumers) are provided with platforms, software services, and infrastructure based on pay per use phenomenon. Cloud-based software services are becoming increasingly popular, as observed by their widespread use. Cloud computing approach has drawn the interest of researchers and business because of its ability to provide a flexible and resourceful platform for development and deployment. To determine a cohesive understanding of the analyzed problems and solutions to improve the quality of software, the existing literature resources on cloud-based software development should be analyzed and synthesized systematically. Keyword strings were formulated for analyzing relevant research articles from journals, book chapters, and conference papers. The research articles published in (2011–2021) various scientific databases were extracted and analyzed for retrieval of relevant research articles. A total of 97 research publications are examined in this SLR and are evaluated to be appropriate studies in explaining and discussing the proposed topic. The major emphasis of the presented systematic literature review (SLR) is to identify the participating entities of cloud-based software development, challenges associated with adopting cloud for software developmental processes, and its significance to software industries and developers. This SLR will assist organizations, designers, and developers to develop and deploy user-friendly, efficient, effective, and real time software applications.Qatar University Internal Grant - No. IRCC‐2021‐010

Towards Enhancing the Capability of IoT Applications by Utilizing Cloud Computing Concept

The emergence of smart and innovative applications in diverse domains has inspired our lives by presenting many state-of-The art applications ranging from offline to smart online systems, smart communication system to tracking systems, and many others. The availability of smart internet enabled systems has made the world as a global village where people can collaborate, communicate, and share information in secure and timely manner. Innovation in information technology focuses on investigating characteristics that make it easier for the people to accept and distribute innovative IT-based processes or products. To provide elastic services and resource the Internet service provider developed cloud computing to support maximal number of users. Cloud computing is a subscription paradigm in which users do not buy various resources permanently, but they purchase it with block chain-driven payment schemes (credit cards). A flexible, on-demand, and dynamically scalable computer infrastructure is offered by cloud providers to its clients on charging some amount of subscription. This research article provides an introduction of cloud computing and the integration of IoT concept, its impacts on crowd and organizations, provision of various services, and analyzing and selecting the appropriate features using probability distribution function for enhancing cloud-based IoT capabilities. In ambiguous and complex situations, decision makers use quantitative techniques combined with traditional approaches to select the appropriate one among a group of features. Probability distribution function is used to evaluate the appropriate features that will enhance the capabilities of cloud-based IoT application

Human–Computer Interaction and Participation in Software Crowdsourcing

Improvements in communication and networking technologies have transformed people’s lives and organizations’ activities. Web 2.0 innovation has provided a variety of hybridized applications and tools that have changed enterprises’ functional and communication processes. People use numerous platforms to broaden their social contacts, select items, execute duties, and learn new things. Context: Crowdsourcing is an internet-enabled problem-solving strategy that utilizes human–computer interaction to leverage the expertise of people to achieve business goals. In crowdsourcing approaches, three main entities work in collaboration to solve various problems. These entities are requestors (job providers), platforms, and online users. Tasks are announced by requestors on crowdsourcing platforms, and online users, after passing initial screening, are allowed to work on these tasks. Crowds participate to achieve various rewards. Motivation: Crowdsourcing is gaining importance as an alternate outsourcing approach in the software engineering industry. Crowdsourcing application development involves complicated tasks that vary considerably from the micro-tasks available on platforms such as Amazon Mechanical Turk. To obtain the tangible opportunities of crowdsourcing in the realm of software development, corporations should first grasp how this technique works, what problems occur, and what factors might influence community involvement and co-creation. Online communities have become more popular recently with the rise in crowdsourcing platforms. These communities concentrate on specific problems and help people with solving and managing these problems. Objectives: We set three main goals to research crowd interaction: (1) find the appropriate characteristics of social crowd utilized for effective software crowdsourcing, (2) highlight the motivation of a crowd for virtual tasks, and (3) evaluate primary participation reasons by assessing various crowds using Fuzzy AHP and TOPSIS method. Conclusion: We developed a decision support system to examine the appropriate reasons of crowd participation in crowdsourcing. Rewards and employments were evaluated as the primary motives of crowds for accomplishing tasks on crowdsourcing platforms, knowledge sharing was evaluated as the third reason, ranking was the fourth, competency was the fifth, socialization was sixth, and source of inspiration was the seventh.Princess Nourah bint Abdulrahman University Researchers Supporting - Riyadh, Saudi Arabia. Project number (PNURSP2023TR140)

Resource potential of gas reservoirs in South Pakistan and adjacent Indian subcontinent revealed by post-stack inversion techniques

Seismic post-stack inversion facilitates the interpretation, mapping and quantification of hydrocarbon-bearing zones. This study estimates reservoir properties (i.e. acoustic impedance and porosity) by applying post-stack seismic inversion techniques to a gas prone reservoir in the Sawan area, Southern Indus Basin, Pakistan. In this particular study, model-based and sparse-spike inversion algorithms are successfully applied on 3D seismic and wireline log data to predict reservoir character in the Lower Goru Formation (C-sand interval). Our results suggest that model-based post-stack seismic inversion provides more reasonable estimates (i.e. returning detailed spatial variations) for acoustic impedance and porosity when compared to sparse-spike inversion algorithms. The calibration of these estimates with petrophysical data from wireline log data indicates an appropriate agreement amongst them. Importantly, the results obtained in our case study can be applied to similar basins in Asia with 'tight' oil and 'tight' gas filling sand-shale intercalations with different thickness and areal distributions

Resource potential of gas reservoirs in South Pakistan and adjacent Indian subcontinent revealed by post-stack inversion techniques

Seismic post-stack inversion facilitates the interpretation, mapping and quantification of hydrocarbon-bearing zones. This study estimates reservoir properties (i.e. acoustic impedance and porosity) by applying post-stack seismic inversion techniques to a gas prone reservoir in the Sawan area, Southern Indus Basin, Pakistan. In this particular study, model-based and sparse-spike inversion algorithms are successfully applied on 3D seismic and wireline log data to predict reservoir character in the Lower Goru Formation (C-sand interval). Our results suggest that model-based post-stack seismic inversion provides more reasonable estimates (i.e. returning detailed spatial variations) for acoustic impedance and porosity when compared to sparse-spike inversion algorithms. The calibration of these estimates with petrophysical data from wireline log data indicates an appropriate agreement amongst them. Importantly, the results obtained in our case study can be applied to similar basins in Asia with 'tight' oil and 'tight' gas filling sand-shale intercalations with different thickness and areal distributions

ANTIMICROBIAL EFFICACY OF TAMARIX DIOCA (L.) LEAVES AND FLOWERS

Tamarix dioca (L.) belongs to family Tamaricaceae is traditionally a vital plant used for treatment of various diseases. Efforts were made to investigate the antimicrobial efficiency of T. dioca.There was three concentrations of crude methanolic extracts of 200µg/ml, 100µg/ml and 50 µg/ml were checked against six pathogenic fungi Aspergillus fumigatus, aspergillus flavus, Fusarium solani, Aspergillus niger, Penicillium digitatum and Penicillium tubesulum and six bacterial strains Bacillus subtilis, Enterobactor aerogenes, Escherichia coli, Kliebsiella pneumoniae, Salmonella typhi and Staphylococcus aureus. It was noted that Percentage inhibition in the growth of fungi and bacteria was dosage dependent. Terbinafine a standard antifungal drug, 10mg/ml and Cefexime 10mg/ml (antibacterial) were used as a positive control. The results were compared with control and most of the results were found significant. Maximum inhibition was showed by T. dioca against fungal strain A. niger (74%) and bacterial strain K. pneumoniae (48%). It can be use as powerful antimicrobial agent in near fture