Volume 3, Issue 9 - 4 Articles
This issue presents four research articles that tackle important global challenges using modern technology. The first article explores how solar energy can reduce power losses and improve electricity in rural Pakistan. The second highlights the role of artificial intelligence in clinical trials, offering benefits in data handling while stressing the need for ethical rules. The third article reviews advances in fingerprint-based biometric security, focusing on deep learning and real-life uses like healthcare and forensics. The fourth introduces HivePool, a smart tool to monitor honey bee health using data and predictions. Together, these studies show how research can help build a smarter, safer, and more sustainable world.
Front Cover
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # i–i, 2024
Editorial Board
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # ii–ii, 2024
Editorial
by Paul Andrew
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # iii–iv, 2024
Table of Contents
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # v–v, 2024
Improving Distribution Power System Efficiency using Power Loss Reduction by Installing the Distributed Generations
by Usman Asghar, Syed Zulqadar Hassan, Muhammad Ahmed, Arsalan Masood, Muhammad Naqi Raza and Tariq Kamal
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 1-15, 2024; DOI: 10.55708/js0309001
Abstract: The current scenario of Pakistan's power sector stipulates the financial and technical viability of the utility companies to meet the escalating demands for electricity. Financial resources are required for the generation of electricity; which Pakistan cannot afford in the present situation. Pakistan have a huge potential for renewable energy resources; different areas across the country… Read More
(This article belongs to the Section Electrical Engineering (ELE))
The Dual Impact of AI in Clinical Trials: Perspective
by Muhammad Yaqub and Lan He
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 16-25, 2024; DOI: 10.55708/js0309002
Abstract: The use of artificial intelligence in clinical trials opens the way for a period of transformation in which the potential to enhance efficiency, precision, and scope in clinical investigation is enormous. In this perspective, the promise and perils of AI regarding clinical trials are critically reviewed. On one hand, it's where AI can really make… Read More
(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Medical Informatics (MDI))
Fingerprint Bio-metric: Confronting Challenges, Embracing Evolution, and Extending Utility – A Review
by Diptadip Maiti, Madhuchhanda Basak and Debashis Das
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 26-60, 2024; DOI: 10.55708/js0309003
Abstract: As documented in recent research, this review offers a thorough examination of the intricate subject of fingerprint authentication, including a wide range of issues and applications. Addressing problems like non-linear deformations and enhancing picture quality, which are frequently reduced by sophisticated improvement and alignment techniques are important components of fingerprint image authentication. Countering security concerns… Read More
(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Cybernetics – Computer Science (CYC))
HivePool: An Exploratory Visualization System for Honey Beehive Data
by Tinghao Feng, Sophie Columbia, Christopher Campell and Rahman Tashakkori
Journal of Engineering Research and Sciences, Volume 3, Issue 9, Page # 61-74, 2024; DOI: 10.55708/js0309004
Abstract: Honey bee health is crucial for global ecosystems, but traditional data analysis methods often struggle to capture the complex interplay between bee behavior and environmental factors. To bridge this gap, we developed HivePool, a novel data visualization and analysis tool designed to empower beekeepers and researchers with deeper insights into these interactions. This paper explores… Read More
(This article belongs to the Special Issue on SP5 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2024) and the Section Horticulture (HOR))