Results (71)
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Keyword: ModelMachine-Learning based Decoding of Surface Code Syndromes in Quantum Error Correction
by Debasmita Bhoumik, Pinaki Sen, Ritajit Majumdar, Susmita Sur-Kolay, Latesh Kumar KJ and Sundaraja Sitharama Iyengar
Journal of Engineering Research and Sciences, Volume 1, Issue 6, Page # 21-35, 2022; DOI: 10.55708/js0106004
Abstract: Errors in surface code have typically been decoded by Minimum Weight Perfect Matching (MWPM) bas -based Machine Learning (ML) techniques have been employed for this purpose, although how an ML decoder will behave in a more realistic asymmetric noise model has not been studied. In this article we (i) establish a methodology to formulate the… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Applied Mathematics (APM))
VSC-HVDC Robust LMI Optimization Approaches to Improve Small-Signal and Transient Stability of Highly Interconnected AC grids
by Yankai Xing, Elkhatib Kamal, Bogdan Marinescu and Florent Xavier
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 251-263, 2022; DOI: 10.55708/js0105026
Abstract: In this paper, for the situation of HVDC inserted in meshed AC power grid, a model-matching robust H∞ static output error feedback controller (RSOFC) and model-matching dynamic decoupled output feedback controller (DDOFC) are proposed to improve the damping of inter-area oscillation modes and maintain robustness to face the effects of different operating points and unstable… Read More
(This article belongs to the Section Automation and Control Systems (ACS))
Evaluating Project Complexity in Construction Sector in India
by Amit Moza, Virendra Kumar Paul and Sushil Kumar Solanki
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 198-212, 2022; DOI: 10.55708/js0105021
Abstract: Evaluating complexity, in order to manage it effectively, has been stressed by many researchers as one of the key areas of project management. This, as literature shows, has been done using different methodologies and assessing it from different perspectives resulting in measures that differ in their characteristics, their application, and their relevance with respect to… Read More
(This article belongs to the Section Construction and Building Technology (CBT))
Design and Analysis of Dual Acting Opposed Piston MR Damper
by Muhammad Aamish Khan
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 145-153, 2022; DOI: 10.55708/js0105015
Abstract: Magnetorheological dampers are dampers filled with magnetorheological fluid, which is controlled by a magnetic field, usually using an electromagnet. Viscosity of MR fluid changes with the application of magnetic field. In this way we can directly change the stiffness and performance of MR damper based on velocity of vehicle and topology of road, thus, providing the… Read More
(This article belongs to the Section Mechanical Engineering (MEE))
Loaded by RL-Branch EMC Filter on the Output of the Inverter Transfer Function Taking into Account Resistances and Electric Transformer’s Transfer Function Derivation
by Pustovetov Mikhail
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 102-108, 2022; DOI: 10.55708/js0105011
Abstract: The derivation of the transfer function of the output filter of the electromagnetic compatibility of the inverter, loaded by RL-branch, proposed, which differs by taking into account the presence of resistances in the longitudinal and transverse branches of the L-shaped filter. The form of recording the voltage transfer function of an electrical transformer loaded by… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Electrical Engineering (ELE))
Electrochemical Desalination Test of Bricks as a Building Material for Historical Buildings in Japan
by Risako Fukami and Toshiya Matsui
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 79-87, 2022; DOI: 10.55708/js0105009
Abstract: Brick buildings and structures are often exposed to outdoor condition, and deterioration of the bricks due to salt weathering caused by the surrounding environment has been reported in various parts of Japan. In Japan, not only the preservation of cultural properties but also their utilization is currently being promoted, and the beauty of brick surfaces… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Construction and Building Technology (CBT))
Impact Analysis of Duck Curve Phenomena with Renewable Energies and Storage Technologies
by Giovani Manuel Pitra and Kameswara Subrahmanya Sastry Musti
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 52-60, 2022; DOI: 10.55708/js0105006
Abstract: When higher quantities of solar energy is injected into power grid, then it is likely to result in what is known as “Duck curve phenomena”. The net load under this phenomenon is negative and thus energy generation needs to be curtailed during the peak hours and also a part of the load during off-peak hours… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Electrical Engineering (ELE))
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 SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Automation and Control Systems (ACS))
Machine Learning Aided Depression Detection in Community Dwellers
by Vijay Kumar, Muskan Khajuria and Anshu Singh
Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 17-24, 2022; DOI: 10.55708/js0105002
Abstract: Depression is a mental condition that can have serious negative effects on an individual’s thoughts and nd health problems that could lead to grave heart diseases. Depression detection has become necessary in community dwellers considering the lifestyle being followed. Here we use NHANES dataset to compare the performance of various machine learning algorithms in depression… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
Determining the Parameters of the Sine-Wave Filter Factors Affecting Filtration Quality
by Pustovetov Mikhail
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 127-136, 2022; DOI: 10.55708/js0104015
Abstract: The paper deals with proposals for the procedure of selecting the parameters of the sine-wave filter in case of increased voltage frequency (400—600 Hz) on the output of frequency converter, which is an element of power supply system. Author describes in article the structure of the power supply system for an unmanned underwater vehicle, which… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Electronic Engineering (EEE))
Design and Analysis of Flat Belt Conveyor for Segregation of Defective Products
by Yash Patil, Shivraj Patil, Suhas Gawade, Vaishnav Shinde and Samidha Jawade
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 62-67, 2022; DOI: 10.55708/js0104008
Abstract: Belt conveyor system is mostly used in industries for transportation of raw materials and finished products. This paper includes study of detailed design procedure and analysis of flat belt conveyor components for light duty applications. Belt conveyors used for segregation of defective products up to 2 kg maximum load whose conveyor capacity is 2 TPH… Read More
(This article belongs to the Section Mechanical Engineering (MEE))
Evolutionary Learning of Fuzzy Rules and Application to Forecasting Environmental Impact on Plant Growth
by Chris Nikolopoulos and Ryan Koralik
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 48-53, 2022; DOI: 10.55708/js0104006
Abstract: Prediction of plant growth and yield is one of the essential tasks that enables growers of food and agricultural products to effectively manage their crops. In this paper, a hybrid evolutionary/fuzzy machine learning approach is introduced where a genetic algorithm is deployed to learn the optimum membership functions of relevant fuzzy sets and a knowledge… Read More
(This article belongs to the Section Artificial Intelligence – Computer Science (AIC))
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))
Micro Forming and its Application: A Critical Review
by Neha Tiwari, Ganesh Kakandikar and Omkar Kulkarni
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 126-132, 2022; DOI: 10.55708/js0103013
Abstract: In terms of manufacturing methods/processes, micro-manufacturing has received a lot of attention around the world. Micro-forming is one of the most widely used micro-manufacturing techniques. The micro forming is based on the properties of materials based on the process of shaping parts and object by mechanical deformation. Many efforts had been focused on micro-forming, in… Read More
(This article belongs to the Section Mechanical Engineering (MEE))
Text-Based Traffic Panels Detection using the Tiny YOLOv3 Algorithm
by Saba Kheirinejad, Noushin Riahi and Reza Azmi
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 68-80, 2022; DOI: 10.55708/js0103008
Abstract: Lately, traffic panel detection has been engrossed by academia and industry. This study proposes a new categorization method for traffic panels. The traffic panels are classified into three classes: symbol-based, text-based, and supplementary/additional traffic panels. Although few types of research have investigated text-based traffic panels, this type is considered in detail in this study. However,… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
An Evaluation of 2D Human Pose Estimation based on ResNet Backbone
by Hai-Yen -Tran, Trung-Minh Bui, Thi-Loan Pham and Van-Hung Le
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 59-67, 2022; DOI: 10.55708/js0103007
Abstract: 2D HumanPose Estimation (2D-HPE) has been widely applied in many practical applications in life su ction, human-robot interaction, using Convolutional Neural Networks (CNNs), which has achieved many good results. In particular, the 2D-HPE results are intermediate in the 3D Human Pose Estimation (3D-HPE) process. In this paper, we perform a study to compare the results… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Interdisciplinary Applications – Computer Science (IAC))
An Overview on Various Techniques used for Correct Interpretation of Roadway Symbols
by Abhinav Vinod Deshpande
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 28-38, 2022; DOI: 10.55708/js0103004
Abstract: In this study paper, a comparative analysis of various image enhancements in local domain techniques was made based on three-dimensional image quality statistics namely Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Quality Model (SSIM) to determine image quality. especially among them so that the process of image enhancement in the… Read More
(This article belongs to the Special Issue on SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Information Systems – Computer Science (ISC))
Soil Properties Prediction for Agriculture using Machine Learning Techniques
by Vijay Kumar, Jai Singh Malhotra, Saurav Sharma and Parth Bhardwaj
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 09-18, 2022; DOI: 10.55708/js0103002
Abstract: Information about soil properties help the farmers to do effective and efficient farming, and yield mo . An attempt has been made in this paper to predict the soil properties using machine learning approaches. The main properties of soil prediction are Calcium, Phosphorus, pH, Soil Organic Carbon, and Sand. These properties greatly affect the production… Read More
(This article belongs to the Section Environmental Engineering (EVE))
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 SP1 (Special Issue on Multidisciplinary Sciences and Advanced Technology 2022) and the Section Telecommunications (TEL))
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))
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))