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2D Finite Element Analysis of Asynchronous Machine Influenced Under Power Quality Perturbations

Computers, Materials & Continua 2022年第3期70卷 5745-5763页

作者： Jasmin Pamela S r.Saranya V.Indragandhi r.raja singh V.Subramaniyaswamy Yuvaraja Teekaraman Shabana Urooj Norah Alwadai School of Electrical Engineering Vellore Institute of TechnologyVelloreIndia School of Computing SASTRA Deemed UniversityThanjavurIndia Mobility Logisticsand Automotive Technology Research CentreFaculty of EngineeringETECDepartment of Electrical Engineering and Energy TechnologyVrije Universiteit BrusselBrussel1050Belgium Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Physics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Asynchronous machines are predominantly preferred in industrial sectors for its *** quality perturbations have a greater impact on industries;among the different power quality events,voltage fluctuations are the most common and that may cause adverse effect on machine’s operation since they are longer *** article discusses a numerical technique for evaluating asynchronous motors while taking into account magnetic saturation,losses,leakage flux,and voltage drop.A 2D linear analysis involving a multi-slice time stepping finite element model is used to predict the end *** an outcome,the magnetic saturation and losses are estimated using amodified 2D nonlinear time-stepping finite element *** method takes the electromagnetic fields at the ends of the motor into account using limited computer *** proposed method will greatly reduce computation timewith limited computer resources for analyzing themachine’s performance with high *** analyzed findings assist in preventing voltage variance issues in the power network system and provide suggestions for developing a robust system.

关键词： Asynchronous machine finite element model analysis voltage variations power quality multi-slice model

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A novel inertia emulator to reduce the rate of change of frequency for power systems with solar PV and battery energy storage

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Clean Energy 2023年第4期7卷 873-884页

作者： r.raja Nivedha Jai Govind singh Weerakorn Ongsakul Department of Energy Environment and Climate ChangeAsian Institute of TechnologyThailand

Energy access,climate change and public health issues are some major drivers for the need for renewable ***,most renewable sources,excluding large hydro,have zero or negligible rotational inertia,which is critical to stabilizing the power system after ***,this paper proposes a droop-based inertia emulator to reduce the rate of change of frequency and frequency *** robustness of the controller is analysed by applying various uncertainties and disturbances of power system components that were carried out using DIgSILENT PowerFactory *** obtained results are compared with existing literature and the desired performance shows an improvement in the rate of change of frequency of 34.78%for an IEEE 6-bus system,24.32%for a 12-bus system and 18%for a 39-bus system.

关键词： control of the rate of change of frequency low-inertia power system inertia emulator control rate of change of frequency impact of solar PV on frequency control impact of battery storage on inertia and frequency control

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Improved Clamped Diode Based Z-Source Network for Three Phase Induction Motor

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Intelligent Automation & Soft Computing 2023年第4期36卷 683-702页

作者： D.Bensiker.raja singh r.Suja Mani Malar Anna University Chennai600025TamilnaduIndia DMI College of Engineering Chennai600123TamilnaduIndia

The 3Φinduction motor is a broadly used electric machine in industrial applications,which plays a vital role in industries because of having plenty of beneﬁcial impacts like low cost and easiness but the problems like decrease in motor speed due to load,high consumption of current and high ripple occurrence of ripples have reduced its *** ultimate objective of this study is to control change in motor speed due to load *** improved Trans Z Source Inverter(ΓZSI)with a clamping diode is employed to maintain constant input voltage,reduce ripples and voltage *** operate induction motor at rated speed,different controllers are *** conventional Proportional-Inte-gral(PI)controller suffers from high settling time and maximum peak *** overcome these limitations,Fractional Order Proportional Integral Derivative(FOPID)controller optimized by Gray Wolf Optimization(GWO)technique is employed to provide better performance by eliminating maximum peak overshoot *** proposed speed controller provides good dynamic response and controls the induction motor more *** complete setup is implemented in MATLAB Simulation to verify the simulation *** proposed approach provides optimal performance with high torque and speed along with less steady state error.

关键词： Three phase induction motor voltage source inverter improvedΓZSI with clamping diode PI controller fractional order PID controller gray wolf optimizer

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Screening of rice Cultivars for Morpho-Physiological responses to Early-Season Soil Moisture Stress

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rice science 2017年第6期24卷 322-335页

作者： Bhupinder singh Kambham raja rEDDY Edilberto Diaz rEDONA Timothy WALKEr Department of Plant and Soil Sciences Mississippi State UniversityMississippi 39762USA Delta research and Extension Center Mississippi State UniversityMississippi 38776USA Horizon Ag.LLC 8275 Tournament DriveSuite 255MemphisTennessee 38125USA

The majority of rice(Oryza sativa L.) produced in the southern USA is drill-seeded and grown under upland-like conditions because permanent flooding is established after the four-leaf stage. Therefore, rice during the seedling growth stage will be subjected to variable soil moisture content. A greenhouse experiment was conducted to evaluate the performance of 15 rice cultivars commonly grown in Mississippi of USA under early-season soil moisture stress. Twenty morpho-physiological parameters of rice seedlings subjected to three different levels(100%, 66% and 33% field capacity) of soil moisture, from 10 to 30 d after sowing, were measured. Significant moisture stress × treatment interaction(P rved for most of the parameters. Further, the total drought response index(TDrI) was developed to score the cultivars for drought tolerance with the variation from 26.88 to 36.21. Accordingly, the cultivars were classified into different groups of tolerance. The cultivars CL152 and CL142-Ar were classified as the least and the most tolerant to drought based on TDrI and standard deviation, respectively. Even though both total root(r^2 = 0.98) or shoot(r^2 = 0.76) drought responses indices were positively correlated with TDrI, root traits were important in deriving the indices. Therefore, TDrI could be used to select cultivars for drought tolerance in a given environment and develop rice varieties with early-season drought tolerance. However, further research is needed to identify and characterize tolerance at other stages to assist breeding programs in rice.

关键词： drought field capacity morpho-physiological parameter Oryza sativa root shoot soil moisture content total drought response index

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MXenes and heterostructures-based electrocatalysts for hydrogen evolution reaction:recent developments and future outlook

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Journal of Energy Chemistry 2024年第5期92卷 176-206页

作者： Abdul Hanan Hafiz Taimoor Ahmed Awan Faiza Bibi raja rafidah raja Sulaiman Wai Yin Wong rashmi Walvekar Seema singh Mohammad Khalid Sunway Centre for Electrochemical Energy and Sustainable Technology(SCEEST) School of Engineering and TechnologySunway UniversityNo.5 Jalan UniversitiBandar Sunway47500 Petaling JayaSelangorMalaysia Fuel Cell Institute Universiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Faculty of Innovation and Technology School of EngineeringChemical Engineering ProgrammeNo.1 Jalan Taylor’sTaylor’s University Malaysia47500 Subang JayaSelangorMalaysia Chitkara Centre for research and Development Chitkara UniversityHimachal Pradesh 174103India School of Applied and Life Sciences Uttaranchal UniversityDehradunUttarakhand 248007India Manipal Institute of Technology Manipal Academy of Higher EducationManipal 576104KarnatakaIndia Centre of research Impact and Outcome Chitkara UniversityPunjab 140401India

The increasing focus on electrocatalysis for sustainable hydrogen(H_(2))production has prompted significant interest in MXenes,a class of two-dimensional(2D)materials comprising metal carbides,carbonitrides,and *** materials exhibit intriguing chemical and physical properties,including excellent electrical conductivity and a large surface area,making them attractive candidates for the hydrogen evolution reaction(HEr).This scientific review explores recent advancements in MXene-based electrocatalysts for HEr *** discusses various compositions,functionalities,and explicit design principles while providing a comprehensive overview of synthesis methods,exceptional properties,and electro-catalytic approaches for H_(2) production via electrochemical ***,challenges and future prospects in designing MXenes-based electrocatalysts with enhanced kinetics are highlighted,emphasizing the potential of incorporating different metals to expand the scope of electrochemical *** review suggests possible efforts for developing advanced MXenes-based electrocatalysts,particularly for efficient H_(2) generation through electrochemical water-splitting reactions..

关键词： MXenes Electrocatalyst Water Splitting Hydrogen Generation Clean Energy

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Detection of Behavioral Patterns Employing a Hybrid Approach of Computational Techniques

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Computers, Materials & Continua 2022年第7期72卷 2015-2031页

作者： rohit raja Chetan Swarup Abhishek Kumar Kamred Udham singh Teekam singh Dinesh Gupta Neeraj Varshney Swati Jain Department of Information Technology Guru Ghasidas VishwavidyalayaBilaspur495009India Department of Basic Science College of Science&Theoretical StudiesSaudi Electronic University13316Saudi Arabia Department of Computer Science&IT JAIN(Deemed to be University)Bangalore560069India Computer Science and Information Science Cheng Kung University621301Taiwan School of Computer Science University of Petroleum and Energy StudiesDehradun248007India Department of CSE I K Gujral Punjab Technical UniversityJalandhar144603India Department of Computer Engineering and Applications GLA UniversityMathura281406India Department of Computer Science Government J Yoganandam Chhattisgarh CollegeRaipur492001India

As far as the present state is concerned in detecting the behavioral pattern of humans(subject)using morphological image processing,a considerable portion of the study has been conducted utilizing frontal vision data of human *** present research work had used a side vision of human-face data to develop a theoretical framework via a hybrid analytical model *** this example,hybridization includes an artificial neural network(ANN)with a genetic algorithm(GA).We researched the geometrical properties extracted from side-vision human-face *** additional study was conducted to determine the ideal number of geometrical characteristics to pick while *** close vicinity ofminimum distance measurements is done for these clusters,mapped for proper classification and decision process of behavioral *** identify the data acquired,support vector machines and artificial neural networks are utilized.A method known as an adaptiveunidirectional associative memory(AUTAM)was used to map one side of a human face to the other side of the same *** behavioral pattern has been detected based on two-class problem classification,and the decision process has been done using a genetic algorithm with best-fit *** developed algorithm in the present work has been tested by considering a dataset of 100 subjects and tested using standard databases like FErET,Multi-PIE,Yale Face database,rTr,CASIA,*** complexity measures have also been calculated under worst-case and best-case situations.

关键词： Adaptive-unidirectional-associative-memory technique artificial neural network genetic algorithm hybrid approach

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Hybrid plasmonic label-free multi-analyte refractive index sensor

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Optoelectronics Letters 2019年第4期15卷 269-272页

作者： Kishore K.r. Utkarsh singh Ayyanar N. Thavasi raja G. Sanathanan M. S. National Institute of Technology Trichy 620015 Tamil Nadu India Nanyang Technological University Singapore 639798 Singapore

We propose a label-free refractive index sensor based on hybrid plasmonic resonator which consists of silver split-ring resonator and photonic waveguide. The finite difference time domain evaluation of the design exhibit strong field confinement at the center of the ring and introduces tunable and sensitive notches in the transmission spectrum. The planar tunable architecture which performs well over the range of micro fluid detection, holds the promise of developing multi-analyte label-free biosensors and compactness towards a complete on-chip integrated sensing system. The performance of the proposed refractive index sensor is evaluated by placing different analytes such as saline water and ethanol at the center of the hybrid plasmonic ring which exhibits sensitivity of 847.50 nm·rIU-1 with a figure of merit of 563.25 rIU-1.

关键词： silver split-ring resonator photonic waveguide index sensor

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Analysis and Predictions of Spread, recovery, and Death Caused by COVID-19 in India

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Big Data Mining and Analytics 2021年第2期4卷 65-75页

作者： rajani Kumari Sandeep Kumar ramesh Chandra Poonia Vijander singh Linesh raja Vaibhav Bhatnagar Pankaj Agarwal Department of Information Technology and Computer Application JECRC UniversityJaipurRajasthan 303905India Bangalore Karnataka 560029India with Amity University rajasthan JaipurRajasthan 303002India University Jaipur Rajasthan 303007India

The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. This paper presents a detailed study of recently developed forecasting models and predicts the number of confirmed, recovered, and death cases in India caused by COVID-19. The correlation coefficients and multiple linear regression applied for prediction and autocorrelation and autoregression have been used to improve the accuracy. The predicted number of cases shows a good agreement with 0.9992 r-squared score to the actual values. The finding suggests that lockdown and social distancing are two important factors that can help to suppress the increasing spread rate of COVID-19.

关键词： COVID-19 regression correlation machine learning prediction

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Development of Hybrid Algorithm Based on PSO and NN to Solve Economic Emission Dispatch Problem

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Circuits and Systems 2016年第9期7卷 2323-2331页

作者： r. Leena rose B. Dora Arul Selvi r. Lal raja singh Department of Electrical and Electronics Engineering Sasurie Academy of Engineering Coimbatore India Department of Electrical and Electronics Engineering Holycross Engineering College Tuticorin India Kalaignarkarunanidhi Institute of Technology Coimbatore India

The electric power generation system has always the significant location in the power system, and it should have an efficient and economic operation. This consists of the generating unit’s allocation with minimum fuel cost and also considers the emission cost. In this paper we have intended to propose a hybrid technique to optimize the economic and emission dispatch problem in power system. The hybrid technique is used to minimize the cost function of generating units and emission cost by balancing the total load demand and to decrease the power loss. This proposed technique employs Particle Swarm Optimization (PSO) and Neural Network (NN). PSO is one of the computational techniques that use a searching process to obtain an optimal solution and neural network is used to predict the load demand. Prior to performing this, the neural network training method is used to train all the generating power with respect to the load demand. The economic and emission dispatch problem will be solved by the optimized generating power and predicted load demand. The proposed hybrid intelligent technique is implemented in MATLAB platform and its performance is evaluated.

关键词： Particle Swarm Optimization (PSO) Economic Dispatch (ED) Economic Dispatch Problems (EDPs) Genetic Algorithm (GA) Neural Network (NN)

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Telemedicine,the current COVID-19 pandemic and the future:a narrative review and perspectives moving forward in the USA

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Family Medicine and Community Health 2020年第3期8卷 50-58页

作者： Asim Kichloo Michael Albosta Kirk Dettloff Farah Wani Zain El-Amir Jagmeet singh Michael Aljadah raja Chandra Chakinala Ashok Kumar Kanugula Shantanu Solanki Savneek Chugh Internal Medicine Central Michigan University College of Medicine East CampusSaginawMichiganUSA Family Medicine Samaritan Medical CenterWatertownNew YorkUSA Medicine Geisinger Commonwealth School of MedicineScrantonPennsylvaniaUSA Internal Medicine Hurley Medical CenterFlintMichiganUSA Nephrology Westchester Medical CenterValhallaNew YorkUSA

A narrative review was conducted to examine the current state of the utilisation of telemedicine amid the current COVID-19 pandemic and to evaluate the benefits of continuing telemedicine usage in the future.A literature review was performed for articles related to *** including PubMed,Google Scholar,Cochrane Library and Ovid MEDLINE were *** reviewers independently performed article selection based on relevance to our *** included all articles between 1990 and 2020 related to telemedicine using the following keywords:‘telemedicine’,‘telehealth’,‘policy’,‘COVID-19’,‘regulation’,‘rural’,‘physical examination’,‘future’.A total of 60 articles were identified,and through careful selection we narrowed the final number of articles to 42 based on relevance to our *** has been rapidly evolving over the past several *** with regulation and reimbursement have prevented its full immersion into the healthcare *** the current pandemic,Centers for Medicare and Medicaid services have expanded access to telemedicine *** advantages of telemedicine moving forward include its cost-effectiveness,ability to extend access to specialty services and its potential to help mitigate the looming physician *** include lack of available technological resources in certain parts of the country,issues with security of patient data,and challenges in performing the traditional patient *** is critically important that changes are made to fully immerse telemedicine services into the healthcare landscape in order to be prepared for future pandemics as well as to reap the benefits of this service in the future.

关键词： services moving landscape

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