Results (135)
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Keyword: OBA 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 (SI-CES 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 (SI-MSAT 2024) and the Section Information Systems – Computer Science (ISC))
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 (SI-MSAT 2024) and the Section Transportation Science & Technology (TST))
Using Artificial Intelligence Models to Predict the Wind Power to be fed into the Grid
by Sambalaye Diop, Papa Silly Traore, Mamadou Lamine Ndiaye and Issa Zerbo
Journal of Engineering Research and Sciences, Volume 3, Issue 6, Page # 1-9, 2024; DOI: 10.55708/js0306001
Abstract: The Taïba Ndiaye wind farm, connected to the SENELEC grid, plays a key role in offsetting shortfalls in electricity consumption, with an installed capacity of 158.7 MW. Moreover, as an intermittent power station, its production is highly dependent on the environmental conditions in the region. Bad weather can disrupt the electricity network, requiring forecasting methods… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Electrical Engineering (ELE))
Analyzing the Impact of Optical Wireless Communication Technologies on 5G/6G and IoT Solutions: Prospects, Developments, and Challenges
by Ramsha Khalid and Muhammad Naqi Raza
Journal of Engineering Research and Sciences, Volume 3, Issue 5, Page # 23-36, 2024; DOI: 10.55708/js0305003
Abstract: The imminent 5G and 6G communication systems are projected to exhibit substantial advancements in comparison to the current 4G communication system. Several critical and prevalent concerns pertaining to the service quality of 5G and 6G communication systems encompass elevated capacity, extensive connectivity, minimal latency, robust security measures, energy efficiency, superior quality of user experience, and… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Telecommunications (TEL))
Mathematical Model of Optimum Management of the Customs Control Process and Expert System for Ensuring Data Reliability
by Ilkhom Mukhtorov, Takhir Abduraxmonov and Abdusobir Saidov
Journal of Engineering Research and Sciences, Volume 3, Issue 5, Page # 1-13, 2024; DOI: 10.55708/js0305001
Abstract: The article considers the issue of modeling the multi-step process of customs clearance of goods in foreign trade. A mathematical model of control of the process under consideration has been developed. A brief review of existing methods for solving the linear programming problem with variable coefficients of the target function is given. The essence of… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Information Systems – Computer Science (ISC))
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))
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 (SI-CES 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))
Missile Guidance using Proportional Navigation and Machine Learning
by Mirza Hodžić and Naser Prljača
Journal of Engineering Research and Sciences, Volume 3, Issue 3, Page # 19-26, 2024; DOI: 10.55708/js0303003
Abstract: Variants of proportional navigation (PN) are perhaps mostly used guidance laws for tactical homing missiles. PN aims to generate commanding missile lateral acceleration proportional to line of sight (LOS) angular rate, so that missile velocity vector rotates in such a way to assure interception of a target. In order to generate commanding lateral accelerations, the… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Aerospace Engineering (ARO))
Jaw and Tongue Muscles in the Australian Lungfish, <i>Neoceratodus forsteri </i> (Osteichthyes: Dipnoi)
by Anne Kemp
Journal of Engineering Research and Sciences, Volume 3, Issue 2, Page # 15-21, 2024; DOI: 10.55708/js0302003
Abstract: The Australian lungfish, Neoceratodus forsteri, has several muscles associated with feeding. The massive adductor mandibularis muscle of N. forsteri, which closes the jaws, originates on the chondrocranium and inserts on the posterior aspect of Meckel’s cartilage in the mandible. The depressor mandibulae muscle, which opens the jaws, inserts on the medial articulation of the prearticular… Read More
(This article belongs to the Section Agriculture Dairy and Animal Science (ADA))
A Study on the Bromine-induced Corrosion/Defects in Wafer Fabrication
by Hua Younan, Liao Jinzhi Lois, Zhu Lei, Liu Binghai and Li Xiaomin
Journal of Engineering Research and Sciences, Volume 3, Issue 2, Page # 8-14, 2024; DOI: 10.55708/js0302002
Abstract: For the semiconductor manufacturing processes, metal corrosion by halogen elements (e.g. fluorine, chlorine, and bromine) is always a critical issue. For the aluminum back-end-of-processes, these halogen elements tend to form aluminum halide defects on the surface of aluminum pads or aluminum metal wires, which can directly lead to the failure and reliability issues of the… Read More
(This article belongs to the Section Electronic Engineering (EEE))
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))
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))
Baggage Cart with Weighing Mechanism for Hotels and Airlines
by Vishal Verma, Kuldeep Kumar, Rashmi Aggarwal and Tanvi Verma
Journal of Engineering Research and Sciences, Volume 3, Issue 1, Page # 6-10, 2024; DOI: 10.55708/js0301002
Abstract: In this article, it has been proposed a functional design of Baggage Cart with Weighing Mechanism for Hospitality Industry based on empirical observations. This design is expected to promote and become one of the high demand products which can later be used especially by hotels and respective airlines. It has been often observed that travelers… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2023-24) and the Section Hospitality, Leisure, Sport and Tourism (HLT))
Application of deuterium Oxide (D<sub>2</sub>O) Isotope Tracing Technique for Land Grid Array Package Failure Analysis
by Liao Jinzhi Lois, Liu Qing, Quan Jing, Ye Qing, Zhang Xi, Hua Younan and Li Xiaomin
Journal of Engineering Research and Sciences, Volume 3, Issue 1, Page # 1-5, 2024; DOI: 10.55708/js0301001
Abstract: A land grid array (LGA) is an integrated circuit design with a grid of contacts connected to other components of a printed circuit board. LGA is used for various high-speed and high-frequency applications due to its small terminal parasitic inductance. However, LGA packages are non-hermetic, as most the components of the LGA, like epoxy molding… Read More
(This article belongs to the Section Electronic Engineering (EEE))
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))
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 (SI-CES 2023-24) and the Section Neurosciences (NES))
Device Authentication using Homomorphic Encryption
by Supriya Yadav and Gareth Howells
Journal of Engineering Research and Sciences, Volume 2, Issue 10, Page # 1-8, 2023; DOI: 10.55708/js0210001
Abstract: In the digital era, data security in files, databases, accounts, and networks is of utmost importance. Due to the sensitive, private, or protected information they contain, databases are a common target for cyber attacks. To assess threats to data and lower the risk involved with data processing and storage, data security is crucial. Therefore, it… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology (SI-MSAT 2023) and the Section Software Engineering – Computer Science (SEC))
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 (SI-MSAT 2023) and the Section Artificial Intelligence – Computer Science (AIC))
Graph-based Tool for Bandwidth Estimation, Health Monitoring and Update Planning in Broadband Networks
by Gian Paolo Jesi and Andrea Odorizzi
Journal of Engineering Research and Sciences, Volume 2, Issue 4, Page # 1-13, 2023; DOI: 10.55708/js0204001
Abstract: This paper focuses on the genesis and evolution of our specific Company tool. It is aimed to tackle the problem of verifying the health status and availability of residual bandwidth between any node over the Lepida ScpA broadband network. In fact, there must be a correspondence between active contractual obligations signed by local network operators… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2022-23) and the Section Telecommunications (TEL))
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 (SI-CES 2022-23) and the Section Education and Educational Research (EER))
Applied Salt Technique to Secure Steganographic Algorithm
by Bo Bo Oo
Journal of Engineering Research and Sciences, Volume 2, Issue 2, Page # 8-14, 2023; DOI: 10.55708/js0202002
Abstract: Digital multimedia assets, including photographs, movies, and audio files, have become a staple of contemporary life. Steganography is a method for undetectable information concealment in these files. One can communicate messages to another by modifying multimedia signals so that a human would be unable to tell the difference between the original signal and the altered… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences (SI-CES 2022-23) and the Section Information Systems – Computer Science (ISC))