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Design, Modelling, and Analysis of Novel Solar PV System using MATLAB

Materials Today: Proceedings 2022年 51卷 756-763页

作者： Ayan Banik Anurag Shrivastava Ravindra Manohar Potdar Sanjiv Kumar Jain Santosh Gopal Nagpure Mukesh Soni National Institute of Technical Teachers' Training & Research Kolkata India Principal and Professor ECE Lakshmi Narain College of Technology and Science Indore India Associate Professor Department of E&TC Engineering Bhilai Institute of Technology Chhattisgarh India Assistant Professor Department of Electrical Engineering Medi-Caps University Indore India Assistant Professor Department of E&TC Engineering D. Y. Patil School of Engineering Academy Pune India Research Scholar Department of Computer Science and Engineering Jagran Lakecity University Bhopal India

In order to meet the world's future energy demand, alternative renewable green energy supplies must be widely promoted. Among all DERs, the most prevalent is Solar PV for a number of important reasons. In this study, the authors analyze several elements of the Single-Phase Solar Photovoltaic Rooftop System with MATLAB. In order to analyze the characteristics of the output current, a new grid synchronization methodology has been devised. For maximum power tracking, the INC control technique has been adopted. The output of the solar DC power system has been synchronized with the grid through hysteresis current loop control. Extensive testing verifies the practicality of the proposed power grid model and promising outcomes and results.

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Developing a computer-Aided Diagnostic System for Breast Cancer Ultrasound Imaging

Developing a Computer-Aided Diagnostic System for Breast Can...

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Data Science and engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on

作者： Radwa Taha Shereen Afifi Mohamed A. Abd-ElGhany Mohammed A.-M Salem Master Candidate in the Faculty of Media Engineering and Technology German University in Cairo New Cairo Egypt Assistant Professor in Computer Science Engineering Faculty of Media Engineering and Technology German University in Cairo New Cairo Egypt Professor in Electrical Engineering Faculty of Information Engineering and Technology German University in Cairo New Cairo Egypt Integrated Electronics Systems Lab TU Darmstadt Germany Digital Media Engineering Faculty of Media Engineering and Technology German University in Cairo New Cairo Egypt

In this research we aim to develop a computer-aided diagnostic system (CAD) for breast ultrasound imaging to enhance the early detection of breast cancer. CAD tools aid physicians in the diagnostic process leading to early detection and treatment of breast cancer. The proposed CAD tool comprises three stages, the first is enhancement of breast ultrasound imaging by applying custom segmentation deep learning architectures [U-Net, SK-U-Net, RDA-U-Net] to enhance the isolation of masses in Ultrasound images, then generation of new ultrasound images by employing Generative Adversarial Networks [DAGAN, DCGAN] to overcome data limitation in available data-sets, and the last stage is the detection and classification of breast cancer masses by a CNN model. The enhancement stage shows promising results with accuracy of 98 % overall accuracy, 92 % overall precision, and 85 % overall *** Relevance: Breast cancer is one of the deadly diseases in the world. The earlier the detection the higher the chances of recovery. Thus a CAD tool that facilitates the screening process of ultrasound images will aid physicians in the early detection and diagnosis of the disease.

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Optimizing Battery Management Systems For Electric Vehicles: Current Trends And Future Directions

Optimizing Battery Management Systems For Electric Vehicles:...

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Global Conference for Advancement in Technology (GCAT)

作者： V.S.Prakash Annamalai Muthu B. Anandan V. Velmurugan T. Alex Stanley Raja Purushothaman V Department of Computer Science Kristu Jayanti College Bengaluru Electrical Section Engineering Department University of Technology and Applied Science Nizwa Oman Department of Mechanical Engineering Siddharth Institute of Engineering & Technology Puttur Andhrapradesh Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Assistant Professor Level III Bannari Amman Institute of Technology Sathyamangalam Department of Electronics and Communication Engineering Chennai Institute of Technology Chennai

ISBN: (数字)9798350376685

ISBN: (纸本)9798350376692

The rapid global shift towards electric vehicles (EVs) marks a transformative era in transportation, driven by the imperative to reduce carbon emissions and reliance on fossil fuels. Central to the performance and longevity of EVs are Battery Management Systems (BMS), which optimize battery usage, enhance safety, and extend operational life. This comprehensive review explores current trends and future directions in BMS optimization, focusing on key technological advancements and their implications for electric mobility. Battery Management Systems (BMS) serve as critical components in electric vehicles, orchestrating the efficient operation of battery packs through real-time monitoring, state-of-charge (SoC) estimation, thermal management, and fault diagnosis. These systems not only ensure optimal performance but also safeguard against potential hazards, thereby enhancing vehicle reliability and user confidence. Current advancements in BMS technology emphasize enhanced accuracy in SoC estimation, leveraging sophisticated algorithms and sensor integration to provide precise information on battery charge levels. Coupled with innovative thermal management strategies, which include active cooling and heating systems, BMS can mitigate thermal stress and optimize battery performance across diverse environmental conditions. By synthesizing technological advancements, emerging trends, and potential challenges, it offers valuable insights for researchers, engineers, and policymakers aiming to advance the efficiency, reliability, and sustainability of electric mobility solutions worldwide.

关键词： Technological innovation Electric potential Battery management systems Estimation Electric vehicles Thermal management Market research Sustainable development Thermal stresses Optimization

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AI Framework for Keys Instruction and Music Notation

AI Framework for Keys Instruction and Music Notation

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Communication, Computing and Energy Efficient Technologies (I3CEET), International Conference on

作者： Krishnaraj Rao N S Smitha GL P. S. Ramesh Nandhini T J P. Nagaveni A Balaji Assistant Professor Department of Information Science and Engineering Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT) Nitte Karnataka India Department of CSE Saveetha School of Engineering Saveetha Institute of Medical and Technical Science (SIMATS) Chennai India Department of CSE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of Computer Science and Engineering Saveetha School of Enginnering Saveetha Institute of Medical and Technical Science – SIMATS Saveetha University Chennai India Department of Electrical and Electronics Engineering Karpagam Academy of Higher Education Coimbatore Department of IT Panimalar Engineering College

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

The study of artificial intelligence focuses on the principles that guide all human intellectual endeavors. The integration of several academic disciplines, including as computer science, philosophy, politics, linguistics, systems engineering, neurophysiology, and behavioral science, has allowed it to grow. This article will describe how to build an intelligent machine, consisting of both hardware and software, that can replicate and exceed the abilities of the human brain in order to handle complicated issues that need specialized knowledge. It will specifically examine how to more effectively use artificial intelligence support systems into piano instruction. An Introduction, an oral language and music-assisted education system based on the ARM and SA algorithm, is proposed by this study in order to ascertain the implementation principle guiding the functioning of the piano automation recording system. It also delves deeply into the theory and operation of automated music recording systems, compiling and evaluating data that these systems generate via internal databases. is an effort to improve music education via the use of artificial intelligence support systems. The results of the experiment show that the training system for the automated notation algorithms for playing the piano and songs has a 56.81 and fast growing machine learning auxiliary technology utilization rate. Thus, we may infer that using an AI support system is necessary while teaching performance piano and automated notation.

关键词： Training Machine learning algorithms Education Music Machine learning Software Recording Multiple signal classification Telecommunication computing Artificial intelligence

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A High-Band Compact Microstrip Patch Antenna For 5G Wireless Technologies

A High-Band Compact Microstrip Patch Antenna For 5G Wireless...

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： G. Santhakumar R. Muthukumar Asa Jyothi G S. Balakumar Ramya Maranan Roshan Bonde Department of Electronics and Communication Engineering Sri Krishna College of Technology Coimbatore Tamil Nadu India Department of EEE Erode Sengunthar Engineering College Erode Tamil Nadu India ECE Department Malla Reddy Engineering College Maisamma Guda Hyderabad Telangana India Faculty of Electrical & Computer Engineering Arba Minch University Arba Minch Ethiopia Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai Tamil Nadu India Assistant Professor Dr. Babasaheb Ambedkar Technological University Lonere Raigad India

This examination presents a High Increase, Overhauled Bandwidth Patch antenna for 5G Undertakings. Using an inset-took care of taking care of method for the microstrip patch antenna wave band, the double band is achieved. Two rectangular apertures are embedded on the patch's transmitting component to provide it a high increase. The anticipated antenna Consolidating three stages at the edge of the rectangular patch increases bandwidth. Fifth-generation (5G) networks clearly outperform 4G because to reduced idleness, more transmission speed, greater bandwidth, and a higher possibility of integrating with more notable various devices. For impending 5G association technologies, this paper studies and presents a microstrip patch antenna working at 28 GHz. The outcome of this reenactment is superior to the previous one. It typically acts as a dependable choice for 5G wireless innovation as a result. The performance of the suggested antenna is superior to that of earlier antennas spread in logical diaries.

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Survey on Impact and Learning’s of the Online Courses on the Present Era

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Procedia computer Science 2020年 172卷 82-91页

作者： T. Anitha Kumari CH. Hemalatha M Subhani Ali R Naresh Assistant Professor Department of Computer Science Engineering HITAM Hyderabad Telangana 501401 India Associate Professor Department of Mechanical Engineering HITAM Hyderabad Telangana 501401 India Assistant Professor Department of Electrical and Electronics Engineering HITAM Hyderabad Telangana 501401 India

Day to day technology is changing to upgrade or adopt technology faculty as well as students preferring online courses like NPTEL. With the fast development of internet techniques, data and communication technology is being more and more employed in curricula, and learning portfolios may be mechanically retrieved and maintained as learners act through e-learning platforms. NPTEL provided open access to hundreds and thousands of learners to take the preferred courses and helped to become experts in a particular area. This paper describes the impact of the online courses (NPTEL) on the learners and challenges and learning’s from the online courses. The participants comprised 114 faculty, who were surveyed regarding their learning experiences, motivation, challenges and intentions to use NPTEL. And what can be improved from the Faculty and student point of view?

关键词： Online courses Learning’s Challenges Motivation

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Multi-class Cancer Classification in Microarray Datasets Using MI-Based Feature Selection and Artificial Neural Network 1

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4th International Conference on Nanoelectronics, Circuits and Communication Systems, NCCS 2018

作者： Jansi Rani, M. Devaraj, D. Assistant Professor Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Krishnankoil Virudhunagar India Dean School of Electronics & Electrical Technology Kalasalingam Academy of Research and Education Krishnankoil Virudhunagar India

ISBN: (数字)9789811528545

ISBN: (纸本)9789811528538

Recent developments in microarray data analysis and improvements in soft computing techniques have played a major role in the field of cancer classification. Classification and identification of cancer are very important as early cancer identification is highly useful for its treatment. Cancer diagnosis is challenging as microarray data has large number of genes. Many gene selection algorithms have been applied to effectively select the most promising gene subsets that can accurately identify cancer samples. In this paper, Mutual Information is used to select the informative genes and Feed Forward Neural Network is used to classify the genes. The proposed MI-ANN based gene selection and ANN classification are applied to classify multi-class microarray datasets. The obtained results show that the proposed method provides higher classification accuracy compared to existing methods. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Soft computing

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Designing Electric Cars: A University-Based Cross-Disciplinary Collaboration with Elementary Schools

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Connected Science Learning 2024年第6期6卷

作者： Cynthia Lima Nikolaos Gatsis a Assistant Professor Department of Interdisciplinary Learning and Teaching The University of Texas at San Antonio San Antonio TX b Associate Professor Department of Electrical and Computer Engineering The University of Texas at San Antonio San Antonio TX

This article describes the creation of a university-based cross-disciplinary collaboration with elementary schools to address the challenges faced by teacher preparation programs in providing preservice teachers opportunities to design integrated STEM learning environments. The partnership focused on the design of an electric car unit and complementary materials. The rationale for this topic was twofold: to build capacity onNGSS-aligned STEM learning environment design among preservice and inservice teachers and to foster literacy on electric vehicles. The article also discusses the learning opportunities afforded to all collaborators and the lessons learned from the design and implementation *** AbstractDisplay full size

关键词： Electric vehicles cross-disciplinary collaboration teacher preparation engineering undergraduates elementary level

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Sensor integrated modules – Social distance & hygiene solutions for COVID-19 pandemic

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AIP Conference Proceedings 2024年第1期2512卷

作者： Kalyan Dusarlapudi Narasimha Raju Kuthuri Kattupalli Sudhakar Prathyusha Chennupati Shiny Syam Mallolu Sai Harshitha Padala Venkata Siva Kumari Narayanam Department of Electrical and Electronics Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram A.P India Senior Assistant Professor Department of AI&DS Lakireddy Balireddy College of Engineering Mylavaram India Department of Computer Science Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram A.P India Communication and soft skills department Koneru Lakshmaiah Education Foundation Vaddeswaram A.P India

The Covid-19 pandemic has opened doors to the academic community to explore more possibilities for innovations. The present paper discusses three prototypes developed for the user’s safety during the pandemic lifestyle. The modules offer alert and hygiene practices to helps users not to get affected by the Covid-19 Virus. The first module intended for user alerts to maintain social distance concerning nearest humans. The module prompts the buzzer if a person comes near within one-meter vicinity. The Second module is an automatic hand sanitiser dispenser for self-clean hands with disinfectant liquid. It uses IR sensors for hand proximity detection to trigger a pump to deliver sanitiser to the hands. The last module dispenses water into a glass. The sensors incorporated are ultrasound and IR sensors for glass detection, automatic water level and user water level control. These modules components, methodology and operation, are discussed. The cost-effective modules offer a long-standing performance with an Embedded board.

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Real-time glove and android application for visual and audible Arabic sign language translation

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Procedia computer Science 2019年 163卷 450-459页

作者： Nema Salem Saja Alharbi Raghdah Khezendar Hedaih Alshami Assistant Professor Electrical and Computer Engineering Department Effat University Jeddah 21478 KSA

Researchers can develop new systems to capture, analyze, recognize, memorize and interpret hand gestures with machine learning and sensors. Acoustic communication is a way to convey human opinions, feelings, messages, and information. Deaf and mute individuals communicate using sign language that is not understandable by everyone. Unfortunately, they face extreme difficulty in conveying their messages to others. To facilitate the communication between deaf/mute individuals and normal people, we propose a real-time prototype using a customized glove equipped with five flex and one-accelerometer sensors. These sensors are able to detect the bindings of the fingers and the movements of the hand. In addition, we developed an android mobile application to recognize the captured Arabic Sign Language (ArSL) gestures and translate them into displayed texts and audible sounds. The developed prototype is accurate, low cost and fast in response.

关键词： Sensory glove Arabic Sign Language Flex sensor, Accelerometer sensor MIT inventor Mobile application Deaf mute

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