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Keyword: SEHow to Analyze the Introduction Strategies for Radically New Technological Innovations? The Case of Autonomous Shipping
by Mariah Kurtinaitis Joukes, Roland Ortt, Mark de Bruijne and Linda M. Kamp
Journal of Engineering Research and Sciences, Volume 4, Issue 1, Page # 16-30, 2025; DOI: 10.55708/js0401003
Abstract: This article explores Maritime Autonomous Surface Ships (MASS) through the Technological Innovation Systems (TIS) framework to identify strategies for creating a market for this emerging technology. It examines the current state of TIS components for MASS and the factors shaping their development. Through a literature review and expert interviews, the article highlights key barriers, particularly… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Marine Engineering (MRE))
Developing E-Methane Value Chain and Proper Greenhouse Gas (GHG) Accounting Rules Incentivizing Recycled Carbon Fuels
by Ryota Kuzuki, Mitsuhiro Kohara, Noboru Kizuki, Satoshi Yoshida, Yuta Nezasa and Yuki Tsuji
Journal of Engineering Research and Sciences, Volume 4, Issue 1, Page # 8-15, 2025; DOI: 10.55708/js0401002
Abstract: Many countries and industries in the world are aiming to transition to a carbon neutral society. One of the means to achieve this is the use of recycled carbon fuels (RCFs) such as e-methane. Feasibility of an international value chain is being studied in a variety of regions. In particular, with regard to e-methane, demonstration… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Energy and Fuels (ENF))
Advanced Cloud-Based Solutions for Peripheral Artery Disease: Diagnosis, Analysis, and Visualization
by Mohammed A. AboArab, Vassiliki T. Potsika and Dimitrios I. Fotiadis
Journal of Engineering Research and Sciences, Volume 3, Issue 12, Page # 24-35, 2024; DOI: 10.55708/js0312003
Abstract: Peripheral artery disease (PAD) affects 237 million people globally, leading to significant morbidity and mortality. Traditional diagnostic methods are invasive, costly, and require specialized expertise, emphasizing the need for more accessible, and accurate alternatives. This paper introduces the DECODE cloud platform, an advanced tool that leverages cloud computing, machine learning, and high-performance data visualization to… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Medical Informatics (MDI))
A Bibliometric Analysis Review on Energy Optimization while Designing Wireless Sensor Networks
by Makwena Idah Masopoga, Mbuyu Sumbwanyambe, Zenghui Wang and Nthambeleni Reginald Netshikweta
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 81-92, 2024; DOI: 10.55708/js0311007
Abstract: Energy optimisation algorithms play an essential role in reducing energy usage. Hence, it is mandatory to identify current themes and predict future research study in energy optimisation algorithms (EOAs) in wireless sensor networks (WSNs). Several reviews have been conducted on energy optimisation algorithms (EOAs) in WSNs, although many focused on narrative reviews. This study focuses… Read More
(This article belongs to the Section Electrical Engineering (ELE))
A Comparative Analysis of Interior Gateway Protocols in Large-Scale Enterprise Topologies
by Saleh Hussein Al-Awami, Emad Awadh Ben Srity and Ali Tahir Abu Raas
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 60-73, 2024; DOI: 10.55708/js0311005
Abstract: Interior gateway protocols (IGPs) have gained popularity in networking technologies due to their capacity to enable standardized and flexible communication among these algorithms. In autonomous systems (AS), network devices communicate with one another via IGPs. This work presents a fresh investigation into the performance of inner gateway protocols in large-scale enterprise topologies. Also, the experiment… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Electrical Engineering (ELE))
Secure 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))
Fuzzy-Based Approach for Classifying Road Traffic Conditions: A Case Study on the Padua-Venice Motorway
by Gizem Erdinc, Chiara Colombaroni and Gaetano Fusco
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 31-40, 2024; DOI: 10.55708/js0311003
Abstract: This study offers a fuzzy-based method for determining the variety of traffic conditions on roads. The fuzzy approach appears more appropriate than the deterministic technique for giving drivers qualitative information about the present traffic condition, as drivers have a shaky understanding of the traffic status. It was used in an analysis that included flow, occupancy, and… 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))
Evaluation of Equivalent Aacceleration Factors of Repairable Systems in a Fleet: a Process-Average-Based Approach
by Renyan Jiang, Kunpeng Zhang, Xia Xu and Yu Cao
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 44-54, 2024; DOI: 10.55708/js0310005
Abstract: Research on repairable systems in a fleet is mainly concerned with modelling of the failure times using point processes. One important issue is to quantitatively evaluate the heterogeneity among systems, which is usually analyzed using frailty models. Recently, a fleet heterogeneity evaluation method is proposed in the literature. This method describes the heterogeneity with the… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Operations Research and Management Science (ORM))
Conceptual Business Model Framework for AI-based Private 5G-IoT Networks
by Laurence Banda
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 13-20, 2024; DOI: 10.55708/js0310002
Abstract: The fusion of fifth generation (5G) networks, Internet of Things (IoT) and artificial intelligence (AI), referred to as intelligent connectivity by most industry experts, can be seen as a crucial success factor for sustainable digitalization. Until recently, research into these key triad technologies has been conducted in isolation. One of the promising applications of intelligent… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Telecommunications (TEL))
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))
A Case Study on Formal Sequential Equivalence Checking based Hierarchical Flow Setup towards Faster Convergence of Complex SOC Designs
by Anantharaj Thalaimalai Vanaraj and Reshi Razdan
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 21-27, 2024; DOI: 10.55708/js0308003
Abstract: Functional Verification Sign-Off is the crux of the design verification problem faced by latest Silicon Designs on the Simulation/Stimulus Driven and the Formal Verification Platforms. Formal Verification Convergence is a custom specific criterion depending on the success, failure, exhaustiveness and reachability of the verification goals generated and validated by the Formal Tool. One of the… Read More
(This article belongs to the Section Hardware and Architecture – Computer Science (HAC))
Keratoconus Disease Prediction by Utilizing Feature-Based Recurrent Neural Network
by Saja Hassan Musa, Qaderiya Jaafar Mohammed Alhaidar and Mohammad Mahdi Borhan Elmi
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 44-52, 2024; DOI: 10.55708/js0307004
Abstract: Keratoconus is a noninflammatory disorder marked by gradual corneal thinning, distortion, and scarring. Vision is significantly distorted in advanced case, so an accurate diagnosis in early stages has a great importance and avoid complications after the refractive surgery. In this project, a novel approach for detecting Keratoconus from clinical images was presented. In this regard,… Read More
(This article belongs to the Section Biomedical Engineering (BIE))
Comprehensive Analysis of Software-Defined Networking: Evaluating Performance Across Diverse Topologies and Investigating Topology Discovery Protocols
by Nikolaos V. Oikonomou, Dimitrios V. Oikonomou, Eleftherios Stergiou and Dimitrios Liarokapis
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 23-43, 2024; DOI: 10.55708/js0307003
Abstract: Software-defined networking (SDN) represents an innovative approach to network architecture that enhances control, simplifies complexity, and improves operational efficiencies. This study evaluates the performance metrics of SDN frameworks using the Mininet simulator on virtual machines hosted on a Windows platform. The research objectives include assessing system performance across various predefined network topologies, investigating the impact… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Software Engineering – Computer Science (SEC))
A Thorough Examination of the Importance of Machine Learning and Deep Learning Methodologies in the Realm of Cybersecurity: An Exhaustive Analysis
by Ramsha Khalid and Muhammad Naqi Raza
Journal of Engineering Research and Sciences, Volume 3, Issue 7, Page # 11-22, 2024; DOI: 10.55708/js0307002
Abstract: In today's digital age, individuals extensively engage with virtual environments hosting a plethora of public and private services alongside social platforms. As a consequence, safeguarding these environments from potential cyber threats such as data breaches and system disruptions becomes paramount. Cybersecurity encompasses a suite of technical, organizational, and managerial measures aimed at thwarting unauthorized access… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 and the Section Information Systems – Computer Science (ISC))
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))
Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier
by Abdullah Y. Al-Maliki, Kamran Iqbal and Gannon White
Journal of Engineering Research and Sciences, Volume 3, Issue 4, Page # 1-9, 2024; DOI: 10.55708/js0304001
Abstract: Estimating the natural voluntary movement of human joints in its entirety is a challenging problem especially when high accuracy is desired. In this paper, we build a modular estimator to estimate the elbow joint motion including angular displacement and direction. Being modular, this estimator can be scaled for application to other joints. We collected surface… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Health Care Sciences and Services (HCS))
Asthma Monitoring Systems Based on Electro-Infrared Sensors: A Review
by Auns Qusai Al-Neami and Zina Ali Abed
Journal of Engineering Research and Sciences, Volume 3, Issue 3, Page # 27-32, 2024; DOI: 10.55708/js0303004
Abstract: Asthma is one of the chronic diseases that affected on the respiratory system. Studies had showed that more than 350 million people who suffering from asthma around the world which is equivalent to 1 in each 12 adults. Many intelligent monitoring systems had proposed in order to help the patient to know the situation before… Read More
(This article belongs to the Section Biomedical Engineering (BIE))
"Greenwashing" or "Helping": ESG Performance and Chinese Firm Total Factor Productivity
by Jing Zhang and Ziyang Liu
Journal of Engineering Research and Sciences, Volume 3, Issue 3, Page # 1-12, 2024; DOI: 10.55708/js0303001
Abstract: As the market economy has continued to develop, businesses have consistently prioritized profits, excessively emphasizing income and financial gains while neglecting ecological conservation and financial fraud. Consequently, the phenomenon of "greenwashing" has emerged. How to prevent this "greenwashing" phenomenon while pursuing economic benefits and enabling high-quality business development has become a focal point. Therefore, this… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Business and Finance (BUF))
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))
Four Rivers and a Reservoir – the Last Homes of the Wild Australian Lungfish
by Anne Kemp
Journal of Engineering Research and Sciences, Volume 3, Issue 1, Page # 11-19, 2024; DOI: 10.55708/js0301003
Abstract: The environment of the Australian lungfish, Neoceratodus forsteri, in south east Queensland, has changed fundamentally since white settlement, and this threatens the survival of the species. Some of the damage to lungfish habitats is the result of human determination to use water for the various needs of industry and people. Additional problems include droughts and… Read More
(This article belongs to the Section Agricultural Engineering (AGE))
Quantum Machine Learning on Remote Sensing Data Classification
by Yi Liu, Wendy Wang, Haibo Wang and Bahram Alidaee
Journal of Engineering Research and Sciences, Volume 2, Issue 12, Page # 23-33, 2023; DOI: 10.55708/js0212004
Abstract: Information extracted from remote sensing data can be applied to monitor the business and natural environments of a geographic area. Although a wide range of classical machine learning techniques have been utilized to obtain such information, their performance differs greatly in classification accuracy. In this study, we aim to examine whether quantum-enhanced machine learning can… Read More
(This article belongs to the Section Remote Sensing (RMS))
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))
Neural Synchrony-Based State Representation in Liquid State Machines, an Exploratory Study
by Nicolas Pajot and Mounir Boukadoum
Journal of Engineering Research and Sciences, Volume 2, Issue 11, Page # 1-14, 2023; DOI: 10.55708/js0211001
Abstract: Solving classification problems by Liquid State Machines (LSM) usually ignores the influence of the liquid state representation on performance, leaving the role to the reader circuit. In most studies, the decoding of the internally generated neural states is performed on spike rate-based vector representations. This approach occults the interspike timing, a central aspect of biological… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2023-24 and the Section Neurosciences (NES))
A Swarm-Based Clinical Validation Framework of Artificial Intelligence Solutions for Non-Communicable Diseases
by Kitty Kioskli, Spyridon Papastergiou and Theofanis Fotis
Journal of Engineering Research and Sciences, Volume 2, Issue 9, Page # 1-11, 2023; DOI: 10.55708/js0209001
Abstract: Non-communicable diseases (NCDs) present complex challenges in patient care. Artificial Intelligence (AI) offers transformative potential, but its implementation requires addressing key issues. This study proposes a swarm intelligence-inspired clinical validation framework for NCDs, promoting openness, trustworthiness, and continuous self-validation. The framework creates a collaborative environment, connecting healthcare entities, patients, caregivers, and professionals. The swarm-based approach… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2023 and the Section Medical Informatics (MDI))
An Advanced Load-Line Analysis Software for use in the Design and Simulation of Microwave Low-Distortion, High-Efficiency and High-Power GaN HEMT Amplifiers
by Yasushi Itoh, Takana Kaho and Koji Matsunaga
Journal of Engineering Research and Sciences, Volume 2, Issue 4, Page # 14-21, 2023; DOI: 10.55708/js0204002
Abstract: An advanced load-line analysis software is devised for nonlinear circuit design and simulation of microwave low-distortion, high-efficiency and high-power GaN HEMT amplifiers. A single software package can incorporate DC, small- and large-signal performances of GaN HEMT devices, and then analyze nonlinear performance of amplitude-to-amplitude (AM-AM) and amplitude-to-phase (AM-PM) modulations, and finally evaluate intermodulation distortion (IMD)… Read More
(This article belongs to the Section Electronic Engineering (EEE))