Volume 1, Issue 1 - 5 Articles
This issue presents five papers exploring diverse technological applications. The first paper examines the use of UAVs and deep learning for real-time disaster mapping and object detection. The second explores the intersection of machine learning and digital art, raising questions about authenticity. The third conducts a literature review on peer-to-peer networks, highlighting security and privacy challenges. The fourth focuses on optimizing telemedicine over satellite networks to improve remote healthcare. The fifth compares the use of natural and synthetic indicators in acid-base titration, advocating for environmentally-friendly green indicators. Together, these studies demonstrate the interdisciplinary nature of modern technological research and its societal impact across multiple domains.
Front Cover
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # i–i, 2022
Editorial Board
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # ii–ii, 2022
Editorial
by Paul Andrew
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # iii–iv, 2022
Table of Contents
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # v–v, 2022
Visual Slam-Based Mapping and Localization for Aerial Images
by Onur Eker, Hakan Cevikalp and Hasan Saribas
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 01-09, 2022; DOI: 10.55708/js0101001
Abstract: Fast and accurate observation of an area in disaster scenarios such as earthquake, flood and avalanche is crucial for first aid teams. Digital surface models, orthomosaics and object detection algorithms can play an important role for rapid decision making and response in such scenarios. In recent years, Unmanned Aerial Vehicles (UAVs) have become increasingly popular… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Automation and Control Systems (ACS))
Neural Networks and Digital Arts: Some Reflections
by Rômulo Augusto Vieira Costa and Flávio Luiz Schiavoni
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 10-18, 2022; DOI: 10.55708/js0101002
Abstract: The Constant advancement in the area of machine learning has unified some areas that until then di a of computing with the arts in general. With the emergence of digital art, people have become increasingly interested in the development of expressive techniques and algorithms for creating works of art, whether in the form of music,… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Artificial Intelligence – Computer Science (AIC))
A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges
by Frederick Ojiemhende Ehiagwina, Nurudeen Ajibola Iromini, Ikeola Suhurat Olatinwo, Kabirat Raheem and Khadijat Mustapha
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 19-38, 2022; DOI: 10.55708/js0101003
Abstract: Centralized file-sharing networks have low reliability, scalability issues, and possess a single point of failure, thus making peer-to-peer (P2P) networks an attractive alternative since they are mostly anonymous, autonomous, cooperative, and decentralized. Although, there are review articles on P2P overlay networks and technologies, however, other aspects such as hybrid P2P networks, modelling of P2P, trust… Read More
(This article belongs to the Section Multidisciplinary – Sciences (MLS))
Analytical Framework to Minimize the Latency in Tele-herbal Healthcare Service
by Ogirima Sanni Abubakar Omuya and Arulogun Oladiran Tayo
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 39-50, 2022; DOI: 10.55708/js0101004
Abstract: Telemedicine is using telecommunications and IT and other ICT tools to widen healthcare services to remote rural areas. ICT global coverage, multicasting ability, and the high capacity of satellites in GEO can be served as an instrument to widen and enhance the high quality of healthcare service to remote rural areas. Long end-to-end latency could… Read More
(This article belongs to the Section Information Systems – Computer Science (ISC))
Comparative Analysis of Curcuma longa Rhizome and Tectona grandis Leaves Extracts as Green Indicators versus some Synthetic Indictors in Acid-Base Titration
by Kaana Asemave and Agube Solomon Shiebee
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 51-55, 2022; DOI: 10.55708/js0101005
Abstract: The work considered comparative analysis of CRI (Curcuma longa rhizome extract indicator) and TLI (Tectona grandis leaves extract indicator) as green indicators versus some synthetic indicators in acid – base titration involving HCl-NaOH, CH3COOH-NaOH, CH3COOH -NH4OH, and HCl-NH4OH. The codes used were SA (strong acid), SB (strong base), WA (weak acid) and WB (weak base).… Read More
(This article belongs to the Section Applied Chemistry (APC))