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Keyword: EEGreen 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))
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 (SI-MSAT 2024) and the Section Energy and Fuels (ENF))
Enhancing Mental Health Support in Engineering Education with Machine Learning and Eye-Tracking
by Yuexin Liu, Amir Tofighi Zavareh and Ben Zoghi
Journal of Engineering Research and Sciences, Volume 3, Issue 10, Page # 69-75, 2024; DOI: 10.55708/js0310007
Abstract: Mental health concerns are increasingly prevalent among university students, particularly in engineering programs where academic demands are high. This study builds upon previous work aimed at improving mental health support for engineering students through the use of machine learning (ML) and eye-tracking technology. A framework was developed to monitor mental health by analyzing eye movements… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Artificial Intelligence – Computer Science (AIC))
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 (SI-MSAT 2024) and the Section Operations Research and Management Science (ORM))
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 (SI-MSAT 2024) and the Section Horticulture (HOR))
MCNN+: Gemstone Image Classification Algorithm with Deep Multi-feature Fusion CNNs
by Haoyuan Huang and Rongcheng Cui
Journal of Engineering Research and Sciences, Volume 3, Issue 8, Page # 15-20, 2024; DOI: 10.55708/js0308002
Abstract: Accurate gemstone classification is critical to the gemstone and jewelry industry, and the good performance of convolutional neural networks in image processing has received wide attention in recent years. In order to better extract image content information and improve image classification accuracy, a CNNs gemstone image classification algorithm based on deep multi-feature fusion is proposed.… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2024) and the Section Artificial Intelligence – Computer Science (AIC))
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 (SI-MSAT 2024) and the Section Information Systems – Computer Science (ISC))
"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 (SI-CES 2023-24) and the Section Business and Finance (BUF))
BIM and Sustainable Design: A Review of Strategies and Tools for Green Building Practices
by Muhammad Numan, Usama Saadat and Muhammad Usman Farooq
Journal of Engineering Research and Sciences, Volume 3, Issue 2, Page # 1-7, 2024; DOI: 10.55708/js0302001
Abstract: Building Information Modeling (BIM) provides a robust foundation for driving sustainability across architecture, engineering and construction (AEC) practices. This paper presents a systematic review of literature elucidating the confluence of BIM tools and processes with accelerated performance simulations and green building certification systems needed to guide environmentally sensitive design. Integrated Revit-Insight 360 is shown to… Read More
(This article belongs to the Section Civil Engineering (CVE))
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))
A Survey into Challenges and the Need for Heating Element Technology in Root Canal Procedures
by Swanand Pachpore and Pradeep Jadhav
Journal of Engineering Research and Sciences, Volume 1, Issue 12, Page # 15-20, 2022; DOI: 10.55708/js0112003
Abstract: Root Canal Treatment (RCT) is one of the most common endodontic clinical procedures performed in the field of dentistry amounting to almost 25 million performed every year. It is thus essential for endodontists to ensure best practices. However, through a recent survey, it has been observed endodontists resort to supplemental methods and protocols during procedures… Read More
(This article belongs to the Section Biomedical Engineering (BIE))
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 (SI-MSAT 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 (SI-MSAT 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
Trajectory Correction Method of Motion Description Language of Vertebral Milling Robot based on Force Feedback
by Wei Ding, Zhaoming Liu, Hongwei Wang and Long Cui
Journal of Engineering Research and Sciences, Volume 1, Issue 10, Page # 26-35, 2022; DOI: 10.55708/js0110005
Abstract: In the real-time control procession of the vertebral milling robot, there are problems such as heavy workload of the operator, long working time, operational tremble and complicated procession. In order to solve the clinical practical basic problems such as avoiding excessive milling and force perception control of vertebral milling robot, this paper proposes a method… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Automation and Control Systems (ACS))
CRESustain: Approach to Include Sustainability and Creativity in Requirements Engineering
by Clara Silveira, Vitor Santos, Leonilde Reis and Henrique Mamede
Journal of Engineering Research and Sciences, Volume 1, Issue 8, Page # 27-34, 2022; DOI: 10.55708/js0108004
Abstract: Requirements Engineering is an evolving field facing new challenges. One of the central conundrums is sustainability in software. The possibility of using known creativity techniques while introducing the dimensions of sustainability to help provide unexpected, original, practical, and sustainable answers in software development is challenging and motivating. This paper proposes an approach, CRESustain, incorporating sustainability… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
An Analysis of SiC Power Electronics Implementation in Green Energy Based Extremely Fast Charging
by Naireeta Deb and Rajendra Singh
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 231-242, 2022; DOI: 10.55708/js0105024
Abstract: Existing extremely fast charging (XFC) of electrical vehicles (EVs) is based on silicon power electronics and internal conversion of AC power into DC power. In this paper it has been shown that silicon carbide power electronics and the use of DC power source in the design of XFC of EVs has many distinct advantages over… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022))
Barriers of the Green Supply Chain Management Implementation: A Benchmark of Studies of Analytic Hierarchy Process and Interpretive Structural Modeling
by Hamza Fahmy, Mohamed Mazouzi, Ayoub Alami Masmoudi and Tamasna El Mehdi
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 223-230, 2022; DOI: 10.55708/js0105023
Abstract: Because firms are considering the influence of their operations on the environment, the green supply chain has become a crucial indication of corporate performance. The issues here necessitate both competent management and a fresh, innovative strategy for cost reduction, productivity enhancement, and natural resource protection. We shall try to understand the Barriers of Green Supply… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Green and Sustainable Science & Technology (GSS))
Quantitative Analysis Between Blackboard Learning Management System and Students’ Learning
by Charles Darko
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 119-133, 2022; DOI: 10.55708/js0105013
Abstract: Proper use of the Blackboard Learning Management System (LMS) motivates students to engage with their studies but the students within Material Science and Engineering (MSE) often use these LMSs to copy mathematical derivations, scientific information and submit coursework tasks without spending much time interacting with the system. Quantitatively, there is a piece of missing information… Read More
(This article belongs to the Section Education and Educational Research (EER))
A Deep Reinforcement Learning Approach to Eco-driving of Autonomous Vehicles Crossing a Signalized Intersection
by Joshua Ogbebor, Xiangyu Meng and Xihai Zhang
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 25-33, 2022; DOI: 10.55708/js0105003
Abstract: This paper outlines a method for obtaining the optimal control policy for an autonomous vehicle appro med that traffic signal phase and timing information can be made available to the autonomous vehicle as the vehicle approaches the traffic signal. Constraints on the vehicle’s speed and acceleration are considered and a microscopic fuel consumption model is… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2022) and the Section Automation and Control Systems (ACS))
Utilization of Date Tree Leaves Biomass for the Removal of Heavy Metals from Water
by Kiman Silas, Aliyu B. Ngulde and Habiba D. Mohammed
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 137-147, 2022; DOI: 10.55708/js0104016
Abstract: Cadmium (Cd) is known to have adverse effects on the kidney, liver, bones and cardio-pulmonary system, this heavy metal is usually consumed from drinking water with higher Cd acceptable limits. In this study, Activated Carbon (AC) is produced from Date Tree Leaf (DTL) and impregnated with Zinc Oxide catalyst, where an adsorbent (ZnO/DTL) was developed… Read More
(This article belongs to the Section Chemical Engineering (CHE))
Modelling and Comparative Study for Deep Groove Ball Bearing Based on Structural Analysis using FE Simulation
by Avinash Galande, Swanand Pachpore and Ashish Pawar
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 68-73, 2022; DOI: 10.55708/js0104009
Abstract: A deep groove ball bearing is a rotary element designed for supporting a radial as well as axial load, low friction, and widely used due to little noise and vibration which supports high rotational speeds. In this article, the author carried out a structural analysis (using FE Simulation) of a single row deep groove ball… Read More
(This article belongs to the Section Mechanical Engineering (MEE))
Study on Stability Analysis of Rectangular Plates Section Using a Three-Dimensional Plate Theory with Polynomial Function
by Festus Chukwudi Onyeka, Chidobere David Nwa-David and Thompson Edozie Okeke
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 28-37, 2022; DOI: 10.55708/js0104004
Abstract: In this paper, a polynomial displacement function is developed to evaluate the stability of rectangular thick plate that is freely supported at the third edge and other three edges simply supported (SSFS). Employing three-dimensional (3-D) constitutive relations which consist of entire stress components, the functional for total potential energy was obtained. The governing equations plate… Read More
(This article belongs to the Section Civil Engineering (CVE))
An Overview of Cyber Security Considerations and Vulnerabilities in Critical Infrastructure Systems and Potential Automated Mitigation - A Review
by Roberto Mazzolin and Asad Madni
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 09-21, 2022; DOI: 10.55708/js0104002
Abstract: Executive leadership in government, military and industry are faced with many difficult challenges when trying to understand the complex interaction of public and government security policies, the vulnerabilities in the wide array of key technologies supporting critical infrastructure upon which society is vitally dependent, and the identification of key cyber security trends that will need… Read More
(This article belongs to the Section Electronic Engineering (EEE))
Biodigester and Feedstock Type: Characteristic, Selection, and Global Biogas Production
by Abdulhalim Musa Abubakar
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 170-187, 2022; DOI: 10.55708/js0103018
Abstract: This work aims at providing factual details necessary for the utilization of diverse feedstock for anaerobic digestion (AD) to produce biogas using either conventional or non-conventional types of digesters. This is necessary as different substrates had peculiar merits or potentials of biogas production due to their unique characteristics. Selection of right feedstock is usually based… Read More
(This article belongs to the Section Chemical Engineering (CHE))
Detailed Overview on POLYMATH Software for Chemical Engineering Analysis
by Abdulhalim Musa Abubakar, Bello Iliyasu and Zakiyyu Muhammad Sarkinbaka
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 133-147, 2022; DOI: 10.55708/js0103014
Abstract: It is pertinent to highlight areas POLYMATH software is useful for chemical engineering analysis. Its applications had been demonstrated in this paper using 10 Problem Set, in areas that includes transport phenomena, heat transfer, reaction, and bioreaction kinetics to solve differential equations, nonlinear equations, simultaneous linear equations, graphical representation and regression problems arising in these… Read More
(This article belongs to the Section Chemical Engineering (CHE))