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International Conference on Electrical and Electronics Engineering, ICEEE 2023

作者： Balasubrahmanyam, M. Valarmathi, r.S. Mohan Sai Kumar, C.H. Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9789819982882

Almost all of today’s communication techniques employ speech enhancement. It should go without saying that interference from the environment might reduce the quality of speech during transmission. digital speech signal processing includes speech enhancement, which seeks to restore the clean speech from the contaminated signal. different ways for speech enhancement are used depending on the kind of signal deterioration and noise present. The methods discussed in the review vary from single channel speech enhancement methods (statistical model-based approaches, and methods in time and transform domains), multi-channel speech enhancement methods (adaptive noise cancelation and multisensor beamforming), machine learning methods including Convolution Neural Networks, deep Neural Networks, residual Convolution Neural Networks, and speech enhancement methods with optimization techniques. The machine leaning algorithms have shown considerable improvement of 98% in enhancing the speech quality of signals. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Speech enhancement

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Equitable domination in Neutrosophic Graph Using Strong Arc

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Neutrosophic Sets and Systems 2023年 60卷 59-73页

作者： Meenakshi, A. Senbagamalar, J. Department of Mathematics Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai600062 India

In this paper, we have initiated the study of domination and equitable domination of Neutrosophic graphs using strong arcs. Strong arcs represent the optimal (minimum) degree of truth membership value, the optimal (minimum) degree of indeterminacy membership value, and the non-optimal (maximum) degree of falsity membership value. Hence, the studies of domination and equitable domination using strong arcs have been explored. Upper bounds and minimality conditions for the existence of the introduced parameters were discussed. Extend the studies on strong and weak equitable domination of Neutrosophic graphs and obtain the relationship between domination and the equitable domination parameter. Furthermore, we have provided some theorems based on equitable domination of Neutrosophic graphs and discussed the upper and lower bounds of the strong and weak equitable domination in terms of order and size with other existing domination parameters of Neutrosophic graphs. © (2023), (University of New Mexico). All rights reserved.

关键词： domination Equitable domination Strong and weak Strong arc

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CSPS- Cyber Security Physical System with a Gaming and defence Strategic Approach to detect the Malicious Attack for Vehicle to Everything Network

CSPS- Cyber Security Physical System with a Gaming and Defen...

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2024 International Conference on System, Computation, Automation and Networking, ICSCAN 2024

作者： Sofia, r. Yazhinian, S. Sambathkumar, r. Saranya, r. Jeyakumar, M. Manakula Vinayagar Institute of Technology Department of Ece India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology India

ISBN: (纸本)9798331510022

Cyber is the word that relates to computer, network and virtual reality. And providing security for these types of system is called cyber security. And this paper discusses about cyber security physical system which is the integration of both hardware and software as there is a possibility of malicious attacks on hardware too because of intervention of IoT devices, where because of these malicious attacks can consume energy of the system or changes the commands for the malfunctioning and everything need to be tracked. The major difference between Cyber security and cyber security physical system is that cyber security is meant for restricting unauthorized access of electronic data and cyber physical security system aims in securing both data as well as IoT devices and other hardware devices from malicious attacks. Cyber security physical system (CSPS) together provides a network, Application, Infrastructure, and IoT security as well as surveillance, access control and testing. The proposed method finds the expected time of failure, malicious attacks on both hardware and software and based on the training. The CSPS system the system able to differentiate the normal command and the command from the attackers, so whenever the doubt arises the CSPS makes those command to wait and if it is secured the command will be executed with a delay or else it will be discarded which protects the system from any types of attackers. And also, the system aims in achieving the higher efficiency through a smaller number of IoTs devices, and also it aims to combinedly use gaming approach, defence strategy with a security supervisor approach to differentiate between the defender and attacker which proves its own efficiency. © 2024 IEEE.

关键词： Cyber attacks

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Induction Motor Controller and Protection System

Induction Motor Controller and Protection System

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2025 IEEE International Students' Conference on Electrical, Electronics and Computer science, SCEECS 2025

作者： Keerthana, G. ramya Sivaraj, P. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Eee Chennai India

ISBN: (纸本)9798331529833

Induction motors are extensively used in artificial and marketable operations due to their robustness and effectiveness. To maximize performance and achieve long life from them, speed control and protection systems are necessary. In this paper, the study is to examine an induction motor regulator as a dOL starter, star-delta starter, VFd, and soft starters, which were compactly studied with a complete review about their appearance, features, and control about speed as well as direction, and also cover some protection results similar as load, short-circuit, phase failure, overvoltage, and undervoltage protections. In order to help damage by electrical and mechanical irregularities, these systems work together to increase operability, trust ability, and safety. © 2025 IEEE.

关键词： Overvoltage protection

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A dual modelling approach: CFd and electrochemical impedance spectroscopy for enhanced PEM fuel cell design and operation

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rESULTS IN ENGINEErING 2025年 26卷

作者： Kirubadurai, B. Jaganraj, r. Vinothkumar, M. Jegadeeswari, G. Vel Tech Rangarajan Dr Sagunthala R&D Inst Science Chennai India Saveetha Engn Coll Chennai India

Fuel cell technology plays a significant role in transformation towards sustainable and clean energy systems because of their high performance, low emissions and eco-friendly operation. This work emphasizes a comprehensive computational and electrochemical impedance analysis of fuel cell to evaluate the effects of different operational and structural parameters on its performance. The work explores the significant key parameters such as inlet pressure, mass flow rate, gas diffusion layer (GdL) porosity, electrode exchange coefficient, inlet temperature, relative humidity, membrane conductivity, electrode thickness, electrolyte thickness, and porous electrode conductivity. The polarization and impedance outcomes demonstrate that optimum inlet pressures and mass flow rates specifically improve the reactant transport, decrease the concentration losses and enhance current density. An enhanced GdL porosity and electrode exchange coefficients facilitates to optimize fuel uniformity and reaction kinetics. In other case, excessive inlet temperature introduces a thermal stress a decrease the reactant concentration at catalyst layer. Electrochemical impedance spectroscopy (EIS) analysis further indicates that rising relative humidity from 10 % to 90 % decrease the charge transfer resistance from 0.00195 Omega & sdot;m2 to 0.00055 Omega & sdot;m2. In other case increasing inlet temperature from 313 K to 353 K reduce impedance from 0.00182 Omega & sdot;m2 to 0.00104 Omega & sdot;m2. Additionally, improving membrane conductivity from 1 S/m to 20 S/m and minimising electrode and electrolyte thicknesses significantly reduce internal resistance. Maximum porous electrode conductivity (700-1000 S/m) also participate to reduce impedance and improve the performance of fuel cell. This comprehensive analysis highlights the crucial interplay of design and operating parameters in enhancing PEM fuel cell performance. The enhanced knowledge gives guidance for fuel cell optimization, durabili

关键词： Proton exchange membrane fuel cell (PEMFC) Electrochemical impedance spectroscopy (EIS) Sustainable hydrogen energy Membrane conductivity Polarization curve

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Non-leaching nanoparticle functionalized natural fabrics: A review on durability, environmental impacts, and applications

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Nanotechnology for Environmental Engineering 2025年第1期10卷 1-12页

作者： Shilo Nesa Sherlin, H. Korumilli, Tarangini Jagajjanani rao, K. Department of Biotechnology Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology Chennai India

Sustainable non-leaching nanoparticle-functionalized natural fabrics are gaining significant attention for their enhanced durability, safety, and environmental benefits. This review examines the leaching behavior of various nanoparticles - silver, copper, and zinc oxide - when applied to natural fabrics and evaluates their impact on fabric durability and environmental safety. Key factors contributing to nanoparticle leaching are explored, along with remediation strategies such as pad-dry cure method, sonochemical deposition, enzyme crosslinking to minimize their release. Additionally, the review highlights the diverse applications of these functional fabrics across sectors such as healthcare, sports, and defense, and discusses future prospects for advancing non-leaching fabric technologies. In conclusion, the review findings suggest that proper adhesion of nanoparticles onto the fabric using precise methods paves the way for eco-friendly functional fabric. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Environmental impact

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design of a 402–405 MHz Implantable Monopole Antenna at Medical Implant Communication Band for Bio Telemetry Applications 6th

Design of a 402–405 MHz Implantable Monopole Antenna at Me...

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6th International Conference on Intelligent Communication, Control and devices, ICICCd 2024

作者： Paik, Harikrishna Shirisha, M. Mounica, A. Uday Kumar, M. Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India

ISBN: (纸本)9789819783281

A monopole antenna consisting of meander line radiating strips at the medical implant communication (MIC) frequency band (402–405 MHz) is presented. The proposed antenna has an overall volume of 4160 mm3 (40 mm × 65 mm × 1.6 mm) which is designed on an Fr4 substrate with shorting pins along the substrate length to achieve miniaturization. The antenna specific absorption rate (SAr) is simulated by implanting the antenna on the top surface and within the three-layered human body model with a typical input power of 1 mW. The average 10 g SAr of the antenna at the skin, fat and muscle are 0.1737, 0.00024, 0.0000256 W/Kg and 0.0217, 0.0179 and 0.09166 W/Kg, respectively, when the antenna was implanted at the top and underneath the skin. A prototype of the antenna was fabricated and measurement is performed to validate the simulation results. The measured −10 dB impedance bandwidth of 8 MHz between 400 and 408 MHz covering MIC frequency band has been realized with maximum gain of −1.6 dB. The omnidirectional radiation characteristics and permissible SAr value makes the proposed antenna a suitable candidate for implantable biotelemetry applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Monopole antennas

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Exploring deep Neural Networks for Accurate diabetic retinopathy Prediction

Exploring Deep Neural Networks for Accurate Diabetic Retinop...

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2024 International Conference on Communication, Computing and Internet of Things, IC3IoT 2024

作者： Kujani, T. Arivubrakan, P. raju, K. Sankar, P. Mani reddy, B. Surekha Bhavana, E. Computer Science And Engineering Vel Tech Rangarajan Dr. Sagunthala R&d Institute Of Science And Technology Chennai India Artificial Intelligence And Machine Learning Vel Tech Rangarajan Dr. Sagunthala R&d Institute Of Science And Technology Chennai India Artificial Intelligence And Data Science Vel Tech Rangarajan Dr. Sagunthala R&d Institute Of Science And Technology Chennai India

ISBN: (纸本)9798350352689

diabetic retinopathy (dr) emerges as a serious complication associated with diabetes mellitus, causing damage to retinal blood vessels, and resulting in vision loss. The critical need for early detection and effective management to curb the progression towards vision impairment and potential blindness underscores the significance of this issue. To address these challenges, have propose a novel deep learning system utilizing a densely connected Convolutional Network (denseNet-201) for the efficient detection of dr. This model is specifically trained to classify fundus images into six distinct categories: no dr, mild, moderate, and severe, proliferative dr, and hard exudates. The datasets utilized in this study include the publicly available diabetic retinopathy detection 2015 and Aptos 2019 blindness detection datasets from Kaggle. The proposed system comprises multiple stages, including data Collection, Preprocessing, Augmentation, and Modeling. during the preprocessing phase, normalization techniques are to eliminate biases or distortions present in the fundus images. Furthermore, the augmentation of data is employed to enhance the diversity and quantity of the training dataset. In the modeling stage, have designed and implemented the deep learning model, with the robust and high-performing denseNet-201 architecture selected as the model's backbone. The model exhibits a significant accuracy of 87.7% in its classification task. Additionally, have introduced a deep Neural Network (dNN) model, achieving an impressive accuracy rate of 95.8%. These results underscore the effectiveness of our proposed system in accurately and efficiently detecting dr. The primary objective of this research is to develop a reliable and automated system for diabetic retinopathy detection, with the overarching goal of improving the quality of life for individuals affected by diabetes. © 2024 IEEE.

关键词： deep neural networks

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Marine Mammals Sound Classification using Extreme Learning Machine with Kepler Optimization Algorithm 5

Marine Mammals Sound Classification using Extreme Learning M...

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5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Ganesan, Annalakshmi Institute of Science and Technology Vel Tech Rangarajan Dr. Sagunthala R&d Chennai India

ISBN: (纸本)9798331504403

This paper presents a new collaborative technique for classifying marine mammals sound, which includes both texture and audio features. A novel feature descriptor called 1dLOTBP is proposed to effectively extracts the features from the audio spectrogram. Along with the proposed 1d-LOTBP other feature descriptors namely LBP, 1d-LBP, ELBP are combined to extract information from audio spectrogram images. To further improve the performance of the texture descriptor the audio features like MFCC, CQT, ZCr and STE added. To validate the proposed collaborative technique, the input feature values are imported to ELM classifier. The ELM is a single layer feed forward neural network, which randomly generates weights and bias in the network. In order to overcome the above drawback of randomness the ELM classifiers are combined with optimization technique called Kepler optimization algorithm (KOA). KOA improves the exploration and exploitation search space rate because the candidate solutions show distinct conditions from the Sun at different times. The proposed technique is validated using the whale sound database. In first stage, the single features are imported to know the individual classification accuracy, then the features are collaborated to improve the accuracy further. The proposed KOA-ELM classifier achieves higher classification accuracy of 99% using the collaborative feature descriptor. © 2024 IEEE.

关键词： Spectrographs

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A Compact Four-Element Modified Annular ring Antenna for 5G Applications

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Progress In Electromagnetics research C 2023年 137卷 169-183页

作者： Murugan, Chinnathambi Kavitha, Thandapani Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Tamilnadu Chennai India

The article presents a low-profile quad-port dual-band printed antenna designed for 5G applications. The antenna is printed on a 58.6 mm×58.6 mm Fr4 substrate with a thickness of 0.8 mm. It operates in the 5G spectrum between 3.3 and 3.8 GHz, specifically in the n77 band, with a 10 dB bandwidth impedance. This flexible operating range allows the antenna to cover future frequency bands essential for 5G applications. The design of the antenna focuses on minimizing the distance between antenna components, which results in a significant improvement in isolation performance, greater than 14 dB. This improved isolation allows for a high radiation efficacy of 85% and an overall gain of approximately 4.8 dBi over the operating range. To evaluate the Multiple-Input Multiple-Output (MIMO) performance of the proposed antenna, the researchers developed additional MIMO metrics, including channel capacity, the Envelope Correlation Coefficient (ECC), and Channel Capacity Loss (CCL). These metrics help assess the antenna’s ability to handle multiple signals and maintain good performance in MIMO systems. This study shows that the proposed antenna is suitable for a wide range of applications operating over multiple frequency bands. This makes it a promising candidate for 5G applications, as it covers the necessary frequency range and offers good MIMO performance. The antenna’s low profile and compact size also make it suitable for various compact and portable 5G devices. © 2023, Electromagnetics Academy. All rights reserved.

关键词： Microstrip antennas

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