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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Damodharan, Rajeshkumar Sivakumar, Pradeepkumar VISTAS-Vels Institute of Science Technology & Advanced Studies Department of Electrical and Electronics Engineering Pallavaram Chennai India

ISBN: (纸本)9798331540364

Integrating renewable energy into electric vehicle (EV) charging stations is crucial to improving sustainability, reducing carbon emissions and improving energy management. In addition to these benefits, addressing power quality concerns is essential for the infrastructure supporting EV charging to operate reliably. The issues about the quality of energy associated with bidirectional EV charging systems, particularly in Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) operations using advanced control methods and adaptive filtering to help address power quality issues by dynamically adjusting charging parameters and enhancing system stability. With EV sales rising quickly, significant obstacles such as voltage fluctuations, harmonic distortions, and grid instability have emerged, especially during peak charging periods. These issues with power quality do not just compromise grid reliability but also impact the infrastructure for EV charging's effectiveness and lifespan. The paper highlights important techniques for enhancing power quality, emphasizing advanced control schemes, including predictive and adaptive control, and innovative converter technologies. The objective of these methods is to maximize power flow, reduce energy losses, and strengthen grid stability. The focus will be on advanced power electronics, smart grid integration, and real-time monitoring systems to address the current challenges while supporting the widespread adoption of renewable energy sources in EV charging infrastructure. © 2024 IEEE.

关键词： Charging stations

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Investigation on mechanical characterization of Al/Mos2/WC hybrid composite

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Materials Today: Proceedings 2022年 69卷 995-999页

作者： Hemadri, Kadapa Ajith Arul Daniel, S. Kukanur, Vijayendra Vijayananth, S. Kumar, R. Department of Mechanical Engineering Sri Venkateswara Institute of Science and Technology Andhra Pradesh Kadapa 516003 India Department of Mechanical Engineering Vels Institute of Science Technology & Advanced Studies Tamil Nadu Chennai 600117 India Department of Mechanical Engineering S L N College of Engineering Karnataka Raichur 584135 India Department of Mechanical Engineering Eritrea Institute of Technology Eritrea

In the present research, Aluminium (Al6262) is chosen as matrix, Tungsten Carbide (WC) and Molybdenum Disulphide (MoS2) particulates as primary and secondary reinforcements in different weight fraction. The MMCs are fabricated by stir casting method with mechanical stirring arrangement. The Molybdenum Disulphide (MoS2) particulate was added in various proportions of 2%, 4 % and 6% on mass fraction and also added WC particulates at 4 %, 8 % and 12 % on mass percentage basis to the molten metal. For various created composites, experimental data such as Charpy Impact test, micro hardness,tensile and microstructural characterisation was analyzed. The distribution of WC particles and MoS2 in the base matrix was investigated microstructurally. The results revealed that increasing the weight fraction of WC and MoS2 increases the tensile, hardness and impact strength of the produced MMCs. © 2022

关键词： Tungsten carbide

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Artificial Neural Network-based Relay Selection in Underwater Wireless Sensor Network 2

Artificial Neural Network-based Relay Selection in Underwate...

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2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Sreeraj, Anoop Vijayalakshmi, P. Rajendran, V. Department of Electronics & Communication Engineering Vels Institute of Science Technology & Advanced Studies Tamil Nadu Chennai India

ISBN: (纸本)9798350305418

As one of the most challenging and promising wireless communications, underwater communication has received much attention. According to the distance, there may be significant delay, limited bandwidth and attenuation, which reduce the system's overall performance. To solve these problems, Artificial Neural Network based Relay Selection (ANNRS) in Under Water Wireless Sensor Networks (UWSN) is introduced. This mechanism uses the Artificial Neural Network (ANN) algorithm to choose the relay nodes to pass the data from sender to receiver. The ANN algorithm picked out the relay using four input features: Energy, bandwidth, depth and packet received ratio (PRR). The UWSN may dynamically pick the optimum relay node depending on the current network circumstances by employing an ANN-based relay selection system, which improves network performance, lowers energy consumption, and increases data transmission reliability. The extensive simulation outcomes demonstrate that the ANNRS mechanism enhances the performance, such as PRR, and energy, and minimizes the delay and Assemble Propagation Distance in UWSN. © 2023 IEEE.

关键词： Artificial neural network Energy efficiency Relay selection Simulation analysis Underwater wireless sensor network

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The Effect of Drilling Parameters on the Hole Quality of Hybrid Fiber-Reinforced Epoxy Composite

The Effect of Drilling Parameters on the Hole Quality of Hyb...

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National Conference on Sustainable Machining Strategies for Better Performance, SMSBP 2020

作者： Santhanam, V. Sendhilkumar, S. Venkateshwaran, N. Chandrasekaran, M. Rajalakshmi Engineering College Chennai India Akshaya College of Engineering and Technology Coimbatore India Vels Institute of Science Technology and Advanced Studies Chennai India

ISBN: (纸本)9789811622779

In this work, hybrid fiber-reinforced epoxy composite had been developed by using woven banana fiber and woven glass fiber as reinforcements. Laminated composite sample was developed by using hand layup method. Glass fiber was kept as top layer, and banana fiber was kept as bottom layer with the arrangement of G-B-G-B. Drilling is one of the most common and critical machining operations during the assembly operation in manufacturing. In this work, the effect of drilling parameters on the quality of the hole and delamination was studied. Three different drill speeds and feed rates were used in this study. The machining was done by using a twist drill of diameter 8 mm, and the drilling was performed at the speeds of 700, 1400 and 2100 rpm. The feed rate was kept at 0.05, 0.12 and 0.20 mm/rev. The drilled holes were scanned in a high-resolution scanner, and digital image processing was further used to compute the hole dimensions. The details of the pixel values at the entry and exit were measured digitally, and subsequently, the pixel values were used to determine the extent of damage occurred due to the drilling operation. A two-dimensional array of hole dimension with respect to the feed rate and speed was obtained from the experimental results. Finally, ANOVA technique was used to determine the most influencing drilling parameter to get better hole quality. The experimental results indicated that the damage due to machining was greater at the exit than the damage at the entry. Also, ANOVA technique showed that the drilled hole quality depends on the drilling speed and feed rate, but the feed rate is the most significant parameter than the cutting speed. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： ANOVA technique Banana fiber Composite drilling Glass fiber Hybrid fiber-reinforced composite

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Hysterisis Current Control PFC in Switched Mode AC-DC Converter with POESL Luo Converter for DC Machines used for Water Pumping Applications Operating on Universal Input Supply 1

Hysterisis Current Control PFC in Switched Mode AC-DC Conver...

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1st International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems, ICMACC 2022

作者： Bhukya, Ramu Shanmugasundaram, N. Vels Institute of Science Technology and Advanced Studies Department of Electrical & Electronics Engineering Pallavaram Chennai600117 India

ISBN: (纸本)9781665496049

One of the most important requirements to be consider when designing a converter to convert the supply from an Alternating Current to Direct Current for DC loads to improve the power quality enhancement at the input side. In this paper, input side, the applied voltage is boosted from 230 rms volts value is given to obtain the desired output value as 400 volts with the help of a Boost Converter. Since it effectively overcomes the effects of parasitic elements and significantly increases the output voltage. To achieve this, the voltage-lift technique is a common method that is commonly used in electronic circuit designs. As a result, dc/dc converters can convert a lower input voltage to a higher output voltage while maintaining high power efficiency and density. However, maintaining power factor at input side closer to unity is a big problem. Owing to these, power quality is improved by improving the power factor with hysteresis current control strategy and also, incorporating outer voltage control technique. As this model is operating on universal supply is converted into dc voltage with DBR (Diode Bridge Rectifier) conversion is up lifted to the desired voltage of a three - phase dc motor value used for industrial applications such as hydraulic pump operations to pump the water at constant speed drive and chemical injection pump applications. The proposed idea is clearly presented in this paper. © 2022 IEEE.

关键词： Boost converter

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Harmonizing Healthcare Perspectives and In-Depth Strategy for Unifying Diverse Medical Big Data Sources 10

Harmonizing Healthcare Perspectives and In-Depth Strategy fo...

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10th International Conference on advanced Computing and Communication Systems, ICACCS 2024

作者： Manikandan, A. Thirumal, S. Kumar, N. Vels Institute of Science Technology &advanced Studies Department of Computer Science & Engineering Tamil Nadu Chennai India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384369

The healthcare sector has generated vast amounts of data, posing a significant challenge in terms of integration. Recently, deep learning frameworks have gained extensive utilization for forecasting relationships within healthcare systems. Specifically, the success of the Heterogeneous Multi-Layer Deep Learning Network (HMLDN) in seamlessly amalgamating diverse medical data for enhanced diagnostics and storage is explored in this paper. The initial discussion delves into capsule optimized networks and attention maps, laying the groundwork for their application in the formation of HMLDN to achieve efficient data integration. © 2024 IEEE.

关键词： Electronic health record

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AQUACHAIN-Water Supply-Chain management using Distributed Ledger technology

AQUACHAIN-Water Supply-Chain management using Distributed Le...

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3rd International Conference on Computing and Communications Technologies, ICCCT 2019

作者： Maouriyan, Nibi Krishna, A.G. Achudh Valliammai Engineering College Kattankulathur India VISTAS[ Vels Institute of Science Technology and Advanced Studies) Chennai India

ISBN: (纸本)9781538693711

Water shortage is fast becoming one of the biggest crises of this century. The recent, exponential rise in adoption of the most disparate Internet of Things (IoT) devices and technologies has reached also Water supply chains, drumming up substantial research and innovation interest towards developing reliable, auditable and transparent traceability systems. Current IoT-based traceability and provenance systems for water supply chains are built on top of centralized infrastructures and this leaves room for unsolved issues and major concerns, including data integrity, tampering and single points of failure. Blockchains, the distributed ledger technology underpinning cryptocurrencies such as Bitcoin, represent a new and innovative technological approach to realizing decentralized trustless systems. This will also eliminate corruption due to unmaintained record of sources. Indeed, the inherent properties of this digital technology provide fault-tolerance, immutability, transparency and full traceability of the stored transaction records, as well as coherent digital representations of physical assets and autonomous transaction executions. This paper presents Aqua-chain, a fully decentralized, blockchain-based traceability solution for Water supply chain management, able to seamless integrate IoT devices producing and consuming digital data along the chain. To effectively assess Aqua-chain, first, we defined a classical use-case within the given vertical domain, namely from-supplier-to-buyer. Then, we developed and deployed such use-case, achieving traceability using blockchain implementation, Ethereum. Finally, we evaluated and compared the performance deployments, in terms of latency, CPU, and network usage, also highlighting its main pros and cons. © 2019 IEEE.

关键词： Supply chain management

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Identify The Potential Instance of Copy Forgery Using Similar Algorithm 9

Identify The Potential Instance of Copy Forgery Using Simila...

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9th International Conference on advanced Computing and Communication Systems, ICACCS 2023

作者： Manikandan, A. Kumar, N. Thirumal, S. Vels Institute of Science Technology and Advanced Studies Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350397376

In a similar fashion one of the most popular types of digital art, counterfeit detection necessitates knowledge of picture structures and the ability to generate visual diversions for many purposes, including entertainment. The use of color is very crucial for creating city features. Previous studies have examined the interrelationships of color within homogenous metropolitan zones, looking for connections between neighboring areas and culturally comparable peoples. Color, acclaim, the dissemination of one's color, and satisfaction. When communicating with a foreign audience, it is common practice to have the message reviewed and edited to conform to the local language and cultural norms. © 2023 IEEE.

关键词： Color

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A Mango Disease Prediction for Smart Agiculture using Machine Learning Algorithms 8

A Mango Disease Prediction for Smart Agiculture using Machin...

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Lavanya, K. Packialatha, A. Vels Institute of Science Technology & Advanced Studies Department of Computer Science and Engineering Chennai Tamilnadu Pallavaram India

ISBN: (纸本)9798350376425

The country's economy relies heavily on agriculture, and the health of the crops is essential to its success. Crop diseases that go undetected can cost the agriculture industry. Thus early detection and identification are crucial. It is possible to avoid crop diseases from destroying the harvest if they are accurately diagnosed and detected. Because healthy and diseased plants appear identical in their early stages, farmers cannot distinguish between the two by watching the crop leaf. India exports vast mangoes, making it an economically and environmentally significant fruit. About 1500 mango species are grown in India, with over 1000 commercial types. There are a lot of diseases that harm mangoes, affecting their look, taste, and economy. The "Prediction of Disease in Mango Fruit Crops"A complex warning system that uses machine learning and IoT. One of the main objectives is to develop a system that can forecast disease outbreaks on mango fruit harvests using historical weather information and crop yield Mango trees in India are plagued by a fungus called Anthracnose, which is the most frequent disease of its kind. Anthracnose, a highly contagious fungus, requires a quick and accurate method of diagnosis. As a result, an in-depth examination of the plants is essential before initiating any control measures. This study examines machine learning(ML) and deep learning (DL) strategies for detecting and classifying mango plant diseases. The performance of ML and DL-based classification models for mango crops and their datasets and feature extraction approachesare examined in this work. Finally, a variety of issues involved in plant disease identification are explored. © 2024 IEEE.

关键词： Smart agriculture

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Internet of Remote Things: A Communication Scheme for Air-to-Ground Information Dissemination 23

Internet of Remote Things: A Communication Scheme for Air-to...

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23rd IEEE International Conference on Digital Signal Processing, DSP 2018

作者： Mendoza, Horacio A. Ramirez, Adrian Briones, Graciela Corral Córdoba Argentina Institute for Advanced Studies in Engineering and Technology IDIT UNC-CONICET Córdoba Argentina

ISBN: (纸本)9781538668115

Data dissemination using Unmanned Aerial Vehicles (UAVs) is currently emerging as an alternative to effectively integrate remote devices to Internet of Things core networks. This paper proposes the use of a closed loop transmission diversity scheme in order to disseminate information toward almost static and battery-limited devices typically unable to communicate over long distances. We present results that show the multiplexing gain that is possible to get in UAV scenarios, which are characterized by the presence of a strong Line-of-Sight (LOS) component. Moreover, we show that in presence of a large amount of users or devices, data separation can be significantly improved by the use of low complexity blind receivers. © 2018 IEEE.

关键词： Information dissemination

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