Results (38)
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Keyword: DGSecure Anonymous Acknowledgments in a Delay-Tolerant Network
by Edoardo Biagioni
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 24-30, 2024; DOI: 10.55708/js0311002
Abstract: TCP and many other protocols use acknowledgments to provide reliable transmission of data over unreliable media. Secure acknowledgments offer a cryptographic guarantee that valid acknowledgments for a given message can only be issued by the intended receiver. In the context of an ad-hoc network, anonymous acknowledgments make it hard for an attacker to determine which… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Cybernetics – Computer Science (CYC))
SimulatorBridger: System for Monitoring Energy Efficiency of Electric Vehicles in Real-World Traffic Simulations
by Reham Almutairi, Giacomo Berg and Graham Morgan
Journal of Engineering Research and Sciences, Volume 3, Issue 6, Page # 33-40, 2024; DOI: 10.55708/js0306004
Abstract: The increasing popularity and attention in Vehicular Ad-hoc Networks (VANETs) have prompted researchers to develop accurate and realistic simulation tools. Realistic simulation for VANETs is challenging due to the high mobility of vehicles and the need to integrate various communication modalities such as Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) interactions. Existing simulators lack the capability to… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Transportation Science & Technology (TST))
The Future of Work after COVID-19 from the Office to the Edge: Using the IT Industry as an Example
by Ya-Ning Chang and Chui-Yu Chiu
Journal of Engineering Research and Sciences, Volume 1, Issue 9, Page # 15-32, 2022; DOI: 10.55708/js0109003
Abstract: The spread of the epidemic caused many people to believe the traditional office model is no longer appropriate for modern business, nor is it compatible with the efficiency and innovation demanded by modern business. Individual accomplishment is not measured by where one works, but by achieving a balance between work and life and establishing a… Read More
(This article belongs to the Section Telecommunications (TEL))
Offline Signature Verification based on Edge Histogram using Support Vector Machine
by Sunil Kumar Dyavaranahalli Sannappa, Kiran, Sudheesh Kannur Vasudeva Rao and Yashwanth Jagadeesh
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 160-166, 2022; DOI: 10.55708/js0105017
Abstract: Investigation on verification of offline signature has explored a huge sort of techniques on more than one signature datasets, which can be amassed beneath managed conditions. However, these records will not necessarily reflect the characteristics of the signatures in some useful use cases. In this work, introduced a novel feature representation technique called edge histogram… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Interdisciplinary Applications – Computer Science (IAC))
Bridging the Urban-Rural Broadband Connectivity Gap using 5G Enabled HAPs Communication Exploiting TVWS Spectrum
by Habib M. Hussien, Konstantinos Katzis, Luzango P. Mfupe and Ephrem T. Bekele
Journal of Engineering Research and Sciences, Volume 1, Issue 2, Page # 24-32, 2022; DOI: 10.55708/js0102003
Abstract: As with previous generations of mobile cellular networks, rural regions are projected to face financial and technological challenges in deploying 5G services. At the time, researchers all around the world are investigating the feasibility of utilizing TV White Spaces (TVWS). TVWS is an underutilized/unused section of television spectrum that might be used as a low-cost… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Telecommunications (TEL))
Fleet-Based Reliability Framework for Low-Voltage Electrical Subsystems in Autonomous Vehicles
by Shrikant Pawar
Journal of Engineering Research and Sciences, Volume 5, Issue 9, Page # 35-60, 2026; DOI: 10.55708/js0509003
Abstract: The low-voltage (LV) electrical subsystem of an autonomous vehicle (AV), spanning the auxiliary battery and management system, DC-DC conversion, power distribution, compute ECUs, in-vehicle communication networks, and harnesses, must operate continuously; its failures are a leading cause of in-service downtime even when propulsion is healthy. Yet no method connects fleet-derived reliability evidence to the assurance… Read More
(This article belongs to the Section Robotics (ROB))
A Review of Machine Learning Techniques for Analog Integrated Circuit Design and Optimization
by Vasile Grosu
Journal of Engineering Research and Sciences, Volume 5, Issue 9, Page # 15-34, 2026; DOI: 10.55708/js0509002
Abstract: Analog electronic design automation has historically lagged behind its digital counterpart due to the complex, multi-dimensional design space and strict sensitivity to parasitic effects, process variations, and geometric constraints. A comprehensive review of the evolution, current state-of-the-art, and future trajectories of electronic design automation tools specifically tailored for analog integrated circuit design could serve as… Read More
(This article belongs to the Section Electronic Engineering (EEE))
Graph Neural Networks for Fault Diagnostics in Cyber-Physical Systems: A Survey of Taxonomy, Deployment Architectures and Failure Modes
by Vaibhavi Tiwari, Ola Suaifan, Ramy Othman and Anand Gupta
Journal of Engineering Research and Sciences, Volume 5, Issue 6, Page # 67-96, 2026; DOI: 10.55708/js0506006
Abstract: Graph Neural Networks (GNNs) have emerged as a promising approach for fault diagnosis in complex cyber-physical systems because they can model intercomponent relationships, fault propagation, and system-level anomalies across domains such as industrial automation, smart grids, transportation, and healthcare. This survey presents a multidimensional review of GNN-based fault diagnostics, organizing existing methods according to graph… Read More
(This article belongs to the Section Interdisciplinary Applications – Computer Science (IAC))
Impact of Brainwave Entrainment using VR to Improve Attentional Learning in Children with ADHD, ASD and Comorbidity
by Manasa Mandapati and Prabhat Ranjan
Journal of Engineering Research and Sciences, Volume 5, Issue 2, Page # 24-35, 2026; DOI: 10.55708/js0502003
Abstract: Various neurological disorders (NDs) across the globe are prevalent among children, affecting their quality of life. Among them are Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and comorbid conditions, which are defined by the proximity of symptoms of inattention, hyperactivity, and impulsivity that are accompanied by impairment in several functional domains. The overall… Read More
(This article belongs to the Special Issue on Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26) and the Section Neurosciences (NES))
Unveiling the Evolving Threat Landscape of Distributed Denial-of-Service (DDoS) Attacks Methodology and Security Measures
by Eman Eyadat, Mohammad Eyadat and Abedalrahman Alfaqih
Journal of Engineering Research and Sciences, Volume 4, Issue 10, Page # 9-20, 2025; DOI: 10.55708/js0410002
Abstract: This paper proposes a concrete severity classification framework and an evaluation lens for DDoS defenses (not a descriptive survey) and contributes two specific advancements. First, it introduces a quartile-based severity classification framework for Distributed Denial of Service (DDoS) attacks that extends beyond conventional binary detection. The framework classifies observed traffic into four categories (Q1–Q4) using… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2025 and the Section Information Systems – Computer Science (ISC))
Green Tariffs as Market Accelerators for Corporate Renewable Energy Adoption: A Comprehensive Review of U.S. Programs and their Impact on C&I Decarbonization
by Sahil Shah
Journal of Engineering Research and Sciences, Volume 4, Issue 8, Page # 1-17, 2025; DOI: 10.55708/js0408001
Abstract: This paper provides a comprehensive review of green tariff programs in the United States from 2013 to 2025, examining their role as market accelerators for corporate renewable energy adoption and their impact on commercial and industrial (C&I) decarbonization strategies. Green tariffs represent voluntary utility programs that enable large energy customers to procure renewable electricity directly… Read More
(This article belongs to the Section Green and Sustainable Science & Technology (GSS))
Navigating the Autonomous Era: A Detailed Survey of Driverless Cars
by Vaibhavi Tiwari
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 21-36, 2024; DOI: 10.55708/js0310003
Abstract: The incorporation of cutting-edge technologies like sensor networks, artificial intelligence (AI), and vehicle-to everything (V2X) communication has hastened the rollout of autonomous vehicles (AVs), offering significant possibilities for the future of transportation. This document offers an extensive overview of AV technology, covering essential elements such as technological infrastructure, degrees of automation, cybersecurity threats, societal impacts,… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Transportation Science & Technology (TST))
An Integrated Approach to Manage Imbalanced Datasets using PCA with Neural Networks
by Swarup Kumar Mondal and Anindya Sen
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 1-12, 2024; DOI: 10.55708/js0310001
Abstract: Imbalanced dataset handling in real time is one of the most challenging tasks in predictive modelling. This work handles the critical issues arising in imbalanced dataset with implementation of artificial neural network and deep neural network architecture. The usual machine learning algorithms fails to achieve desired throughput with certain input circumstances due to mismatched class… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Artificial Intelligence – Computer Science (AIC))
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 Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Horticulture (HOR))
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))
Dynamic and Partial Grading of SQL Queries
by Benard Wanjiru, Patrick van Bommel and Djoerd Hiemstra
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 1-14, 2024; DOI: 10.55708/js0308001
Abstract: Automated grading systems can help save a lot of time when evaluating students’ assignments. In this paper we present our ongoing work for a model for generating correctness levels. We utilize this model to demonstrate how we can grade students SQL queries employing partial grading in order to allocate points to parts of the queries… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Artificial Intelligence – Computer Science (AIC))
Browser-in-the-Browser (BitB) Attack: Case Study
by Khalid Alissa, Bushra Alhetela, Ghadeer Alazman, Asma Bader, Noor Alhomeed, Layan Almubarak and Fajer Almulla
Journal of Engineering Research and Sciences, Volume 3, Issue 5, Page # 14-22, 2024; DOI: 10.55708/js0305002
Abstract: Phishing attacks are becoming more sophisticated daily, taking advantage of victims' lack of awareness to steal sensitive information. The browser-in-the-browser (BitB) attack is a novel and sophisticated phishing technique that uses a single sign-on (SSO) popup window that mimics a legitimate browser login to steal a user's credentials. In addition, an attacker can customize the… Read More
(This article belongs to the Section Cybernetics – Computer Science (CYC))
Numerical Analysis of Riverbank Slope Stability Considering Rainfall, Vegetation and Water Level Fluctuation
by Md Tanvir Ahsan, Ji-Peng Wang, Saidov Mirzo Sibgatullovich, Abdelali Dadda and Salikhov Farid Salokhiddinovich
Journal of Engineering Research and Sciences, Volume 3, Issue 4, Page # 20-31, 2024; DOI: 10.55708/js0304003
Abstract: The occurrence of landslides and slope instability along riparian zones has been a recurrent phenomenon of substantial concern globally. This paper presents a comprehensive investigation of riverbank slope stability utilizing soils from the Yellow River in China, with a particular emphasis on the effects of water level fluctuations, precipitation, and vegetation. The research examines the… Read More
(This article belongs to the Section Civil Engineering (CVE))
Robust Localization Algorithm for Indoor Robots Based on the Branch-and-Bound Strategy
by Huaxi (Yulin) Zhang, Yuyang Wang, Xiaochuan Luo, Baptiste Mereaux and Lei Zhang
Journal of Engineering Research and Sciences, Volume 3, Issue 2, Page # 22-42, 2024; DOI: 10.55708/js0302004
Abstract: Robust and accurate localization is crucial for mobile robot navigation in complex indoor environments. This paper introduces a robust and integrated robot localization algorithm designed for such environments. The proposed algorithm, named Branch-and-Bound for Robust Localization (BB-RL), introduces an innovative approach that seamlessly integrates global localization, position tracking, and resolution of the kidnapped robot problem… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Robotics (ROB))
Smart Monitoring System for Housing Societies based on Deep Learning and IoT
by Neha Koppikar and Nidhi Koppikar
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 15-22, 2023; DOI: 10.55708/js0212003
Abstract: Since 2020, people have been getting their body temperatures checked at every public location, social distancing has become a norm, and it has become essential to know who has been in contact with whom. Therefore, we needed a system that helped us solve these challenges, especially in housing societies, as most of the general public… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
Failure Analysis & Mechanism Studies of the Worm-like Defects in Vias of Wafer Fabrication
by Hua Younan, Liao Jinzhi Lois, Liu Binghai, Zhu Lei and Li Xiaomin
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 1-6, 2023; DOI: 10.55708/js0212001
Abstract: In semiconductor wafer fabrication, the contamination issue by halogens (such as F, Cl, and Br) brings great challenges to metallization processes in the back end of line (BEOL). For aluminum (Al) back-end process, severe metal corrosion may occur by halogens, forming aluminum halide defects. Such halogen-induced metal corrosion issue creates the defects on Al metal… Read More
(This article belongs to the Section Electrical Engineering (ELE))
NNR Artificial Intelligence Model in Azure for Bearing Prediction and Analysis
by Henry Ogbemudia Omoregbee, Mabel Usunobun Olanipekun and Bright Aghogho Edward
Journal of Engineering Research and Sciences, Volume 2, Issue 6, Page # 1-9, 2023; DOI: 10.55708/js0206001
Abstract: Neural Network regression (NNR) is considered more effective as compared to multiple neural networks model readily available in Azure to evaluate the Remaining Useful Life (RUL) of bearing in this work because it performs better than other models when used and was demonstrated as a non-programing technique for analyzing enormous data without the use of… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2023 and the Section Artificial Intelligence – Computer Science (AIC))
Coding: First Steps from Kindergarten up to Primary School
by Elisa Benetti and Gianluca Mazzini
Journal of Engineering Research and Sciences, Volume 2, Issue 3, Page # 16-30, 2023; DOI: 10.55708/js0203002
Abstract: Computational thinking is now featured in many school curricula around the world. It is in fact defined as the "new English", emphasizing its universally recognized indispensability. Despite this, the subject is almost never addressed until primary school where, however, hours dedicated to it are often too limited. Our first training proposal, including basic coding concepts… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-23 and the Section Education and Educational Research (EER))
Fast Labeled Spanning Tree in Binary Irregular Graph Pyramids
by Majid Banaeyan and Walter G. Kropatsch
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 69-78, 2022; DOI: 10.55708/js0110009
Abstract: Irregular Pyramids are powerful hierarchical structures in pattern recognition and image processing. They have high potential of parallel processing that makes them useful in processing of a huge amount of digital data generated every day. This paper presents a fast method for constructing an irregular pyramid over a binary image where the size of the… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Interdisciplinary Applications – Computer Science (IAC))
The Current Trends of Deep Learning in Autonomous Vehicles: A Review
by Raymond Ning Huang, Jing Ren and Hossam A. Gabbar
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 56-68, 2022; DOI: 10.55708/js0110008
Abstract: Autonomous vehicles are the future of road traffic. In addition to improving safety and efficiency from reduced errors compared to conventional vehicles, autonomous vehicles can also be implemented in applications that may be inconvenient or dangerous to a human driver. To realize this vision, seven essential technologies need to be evolved and refined including path… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Interdisciplinary Applications – Computer Science (IAC))