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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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E-waste management in the digital era: A sustainable computing approach

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IEEE Potentials 2024年第2期43卷 30-36页

作者： ramasamy, rajkumar Gopi, rahul Sanmugam Palanisamy, rohini Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Department of Electronics and Communication Engineering Chennai600062 India Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Department of Computer Science and Engineering Chennai600062 India

In the digital era, the proliferation of electronic devices has led to a surge in electronic waste (e-waste), posing significant environmental and health challenges. This article proposes a sustainable computing approach to e-waste management. The article explores the complexities of e-waste management and recycling frameworks within the context of sustainable computing and applications. It delves into the challenges posed by the rapid advancement of technology and the resultant surge in electronic waste. Strategies to mitigate e-waste are discussed, including approaches in product design. The article emphasizes collaborative efforts to address these challenges effectively. By adopting sustainable computing practices and leveraging innovative solutions, the aim is to create a more sustainable approach to managing electronic waste and its environmental impacts. © 1988-2012 IEEE.

关键词： Electronic waste recycling Green computing Metals Maintenance engineering Soil regulation Water pollution Energy efficiency resource management

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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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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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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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design of a Wideband Metamaterial-Inspired Microwave Absorber Implementing Anti-symmetric Geometry for radar Installation Applications 6th

Design of a Wideband Metamaterial-Inspired Microwave Absorbe...

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

作者： Paik, Harikrishna Venkatsena reddy, N. Sainadh, Y. Ganga Purusotham, A. Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India

ISBN: (纸本)9789819783281

A wideband metamaterial absorber (MA) using anti-symmetric geometries is presented in this paper. The absorber unit cell consists of two pairs of circular ring slots of different sizes on the top surface of 0.8 mm thin Fr4 substrate of size 6 mm × 6 mm which is the unique feature of the proposed design. It shows an absorption coefficient greater than 90% at the centre frequency of 10 GHz and absorption bandwidth of 0.9 GHz. A 10 × 10 proto type of the MA is fabricated, and measurements show that the results agree well with full-wave simulation response. Furthermore, circuit model of the MA is developed and its physical interpretation is examined. The proposed absorber is angularly stable up to 50° for oblique incident angles of electromagnetic wave. The proposed design may be a potential candidate for real-time modern radar installation applications including radar cross section reduction and electromagnetic shielding due to its wideband absorption and good angular stability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： radar cross section

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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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On r-Edge regular Neutrosophic Graphs

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Neutrosophic Sets and Systems 2023年 53卷 239-250页

作者： Kaviyarasu, M. Department of Mathematics Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology AvadiChennai600062 India

We approach learning characteristic on a neutrosophic graph such as r-edge regular neutrosophic graph, strongly edge regular neutrosophic graph and absolute degree of vertex since a neutrosophic set (Formula Presented) of a universe set A. We discuss different aspects of these graphics in this article. We've also included several examples to help you understand these concepts. © 2023,Journal of Entomological research. All rights reserved.

关键词： absolute degree of vertex Neutrosophic set r-edge regular neutrosophic graph strongly edge regular neutrosophic graph

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Image Classifier Using resource-Constrained device and Tiny Machine Learning 1st

Image Classifier Using Resource-Constrained Device and Tiny ...

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1st International Conference on data Engineering and Machine Intelligence, ICdEMI 2023

作者： Vinod, K.S. Kanmani ruby, E.d. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9789819776153

Image classification is one of the main parts of computer vision, which is important in applications like self-driving automotives/vehicle systems. While working with image/video data it needs huge amount of resources including computing power, graphic processing units (GPU), memory, high end CPUs, etc. We can use the small microcontrollers to do the same task, by using high-end machines for training and building the model and converting the model so that they fit into microcontroller unit, by using the method called Transfer Learning. In our work, we use Arduino nano 33 BLE sense and OV7675 camera module and online machine learning framework called Edge impulse for building the model. It is found that our tiny machine learning model works well and provides a real-time solution for image classification in the resource-constrained scenario. The experimental results show that the image classifier is performing with around 100% accuracy and so has got a wide scope in real-time classification applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Graphics processing unit

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An effective objective function to enhance the performance on the Internet of Things environment

An effective objective function to enhance the performance o...

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Arivubrakan, P. Usha, V. Manikanta, Cholaveti Naga Sai Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9781032669663

The Internet of Things is an evolving technology that connects and exchanges data with other technology. The communications between the devices are resource constrained in the field of smart environments. The low-power devices transmit their packets to nearby nodes until it reaches the receiver, by making use of the routing protocol which establishes a set of rules to communicate in an environment. rPL is used as a routing protocol in low power lossy networks. An Objective Function determines the node selection and the optimization for the instances based on the number of parameters are hop count and expected transmission count in the tree-like topology. The energy-aware routing protocol-based objective function is proposed by the new metric which is based on the residual energy, threshold, and quality index. The novel metric is simulated using the Contiki Cooja simulator and the result shows better performance in terms of throughput, reliability when compared with the other standard objective functions. © 2024, CrC Press/Balkema. All rights reserved.

关键词： routing protocols

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