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Modelling of OFdM modulation technique in HF radio band using MATLAB

Journal of Optical Communications 2024年第4期45卷 971-976页

作者： Kavitha, Thandapani Sonika, Makam Prathyusha, Namburi Lakshmi raj, Vysyaraju Tharun Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Tamil Nadu Chennai India

Orthogonal frequency division multiplexing (OFdM) - a new wireless multicarrier modulation which uses number of subcarriers that will be orthogonal to each and every other to send signals. An OFdM signal contains tightly spaced modulated providers that every have low bit info on each with the subcarriers. The major objective of our specific model is to apply MATLAB modelling to model OFdM modulation approach among 6, 12 and 15 MHz bandwidths inside the great consistency (HF) radio group (3-30 MHz). Typically, the motive of the pattern is to be able to make HF very long haul transmission more quickly and further trusted in order to each element worldwide, including typically the bulk remote elements, undergo use of rapid speed, very long haul hands-free connection. The designed unit enables us all to alter typically the bandwidth, carrier consistency, type of modulation, sign to noise rate (SNr), and photo dimensions to identify the particular blend regarding criterion provides trusted OFdM details gears in the HF radio band. desire use four modulation techniques such while 32-QAM, 16-PSK, QPSK and BPSK. 32-QAM always transmitted typically the data the speediest despite the photo size, number regarding subcarriers and company frequency. 16-PSK seemed to be the second speediest type of modulation followed by QPSK and finally BPSK. To look with regard to the success associated with our model, all of us will figure out information rate and the particular bit to error ratio (BEr) right next information transfer. Preferably, we wish to possess a bit error rate associated with 10e-5 for a good SNr that will be symbol of the particular noise intensity skilled within the ionosphere. © 2022 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Peak to average power ratio

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Correlation and regression Coefficients of Neutrosophic Graph Products using Minimum Spanning Tree for Enhancing Healthcare Strategies

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Neutrosophic Sets and Systems 2025年 78卷 105-126页

作者： Meenakshi, A. Shivangi, Mishra J. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology India

This paper investigates the correlation and regression coefficients (CrCs) of single-valued neutro-sophic graph products (SVNGPs) with a focus on the minimum spanning tree (MST) and their applications in enhancing healthcare strategies. Single-valued neutrosophic Graph (SVNG) is an extension of traditional graph theory that uses neutrosophic logic to solve uncertainties and indeterminacy. We have introduced the modular and strong products of SVNGs and calculated the CrCs with and without using MST to evaluate the relationships within healthcare networks. A comparative analysis has been done for CrCs with and without MST which helps to increase the accuracy and efficiency of CrCs. The gained results offer valuable insights into optimizing resource allocation and improving patient care by identifying critical factors influencing health-care outcomes. This study demonstrates the applicability of SVNGPs in decision-making processes, with MST playing a pivotal role in enhancing overall healthcare efficiency and effectiveness. © 2025, University of New Mexico. All rights reserved.

关键词： Logistic regression

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Exploring Neutrosophic Over Supra Exterior Modal Topological Structure: Theory and Application in Healthcare decision-Making

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Neutrosophic Sets and Systems 2024年 72卷 272-285页

作者： devi, r. Narmada Parthiban, Yamini Department of Mathematics Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India

Neutrosophic environments have gained significant relevance across diverse disciplines. Neutrosophic Over Supra Exterior Modal Topological Structure is introduced, demonstrating the generation of two distinct structures through traditional Neutrosophic Over supra topological operations, denoted as ⊞ (closure) and ⊡ (interior), along with novel Neutrosophic Over Supra Exterior Modal Operations, expressed as ⊗ (modal closure) and o (modal interior). This exploration delves into the essential properties and characteristics of these structures, illuminating their behavior and implications. To illustrate the practical relevance, a numerical example is presented, demonstrating the identification of disease types using a score function. The study conclusively shows that the Neutrosophic Over Supra Exterior Modal Topological Structure effectively classifies diseases such as tuberculosis (bacterial), malaria (parasitic), swine flu (viral), and ringworm (fungal). This dual approach ensures a holistic understanding of the topic, appealing to both theoretical and practitioners seeking practical solutions in the neutrosophic over environment. © 2024, University of New Mexico. All rights reserved.

关键词： Topology

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decision Making By Neutrosophic Over Soft Topological Space

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Neutrosophic Sets and Systems 2024年 66卷 76-94页

作者： devi, r.Narmada Parthiban, Yamini Department of Mathematics Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India

The empirical correlation system serves as a crucial tool for unveiling the linear interconnections between two variables. Its significance lies in providing a prominent approach to depict a straightforward relationship without explicitly indicating a causal link between the sets involved. In the current research, an innovative concept of correlations is introduced specifically for Neutrosophic Over Soft Sets (No s -sets). This novel framework involves a meticulous examination of basic definitions and operations associated with Neutrosophic Over Soft Sets. Furthermore, the study extends to the introduction of a groundbreaking concept: a topological space integrated with Neutrosophic Over Soft Sets (No s -sets). This addition aims to broaden the scope of understanding and application in mathematical *** research does not merely establish theoretical foundations;it also explores various properties and theorems related to the introduced concepts. This is complemented by a series of numerical examples designed to provide clarity and facilitate a comprehensive grasp of the material. To demonstrate the practical application of these concepts, the research utilizes the correlation framework to present a numerical illustration. Specifically, it is applied to determine the topperforming student at GFC School for the academic year 2022-2023, showcasing the real-world relevance and applicability of the proposed methodologies. © (2024) All rights reserved.

关键词： decision making

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Implementation of Automatic Braking System in Electric Vehicles

Implementation of Automatic Braking System in Electric Vehic...

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

作者： Narayana reddy, K. Venkata Vinoth John Prakash, S. Haseeb, Mohammad Sohtun, Steevenson Amosedinakaran, S. ramesh, S. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Dept. of Eee Chennai India Dr.Sagunthala R&d Institute of Science and Technology Vel Tech Rangarajan Chennai India

ISBN: (纸本)9798331529833

This project helps to make driving safer by detecting and responding to obstructions automatically. It has ultrasonic sensors that are used in continuously monitoring the car's distance with any objects or obstacles. The system applies the braking mechanism, when it detects an obstacle at a predetermined safe distance, either slowing down or stopping the vehicle hence avoiding accidents. real time data handling and decision making of the intelligent braking system ensures the overall road safety. This technology is aimed at reducing road accidents, enhancing overall road safety. This system is designed to enhance vehicle safety by automatically detecting and responding to obstacles. It uses ultrasonic sensors to continuously monitor the distance between the vehicle and potential obstructions. The intelligent braking system incorporates real-time data processing and decision-making to ensure accurate and timely responses. © 2025 IEEE.

关键词： Ultrasonic sensors

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A Novel Blockchain-Assisted deep Learning Model For Secure Edge Intelligence in IoT Networks

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Journal of The Institution of Engineers (India): Series C 2024年 1-14页

作者： Sekhar, G. Chandra Aruna, r. Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R & ampD Institute of Science and Technology Tamilnadu Chennai India

The Internet is being connected to billions of mobile and Internet of Things (IoT) devices, generating zillions of Bytes of data at the network edge. This is in addition to developments in mobile computing and the Internet of Things (IoT). In the context of edge computing, applications are placed closer to data sources such as IoT sensors, local edge devices, and edge servers. data are transmitted from edge devices to dedicated computer infrastructures for a range of activities in any edge computing environment. For the reason that data are regularly sent from IoT edge devices to centralized virtualization technologies, it is more vulnerable to security vulnerabilities and complexity measures. Finally, to preserve the privacy of the IoT devices, the performance of the proposed algorithms is evaluated using datasets in a large-scale network prototyped system. According to the data, the suggested strategy is both more effective and secure than the alternatives. © The Institution of Engineers (India) 2024.

关键词： Internet of things

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Environmental Sustainability Achievement on diesel Engine Emissions Using Mahua Biodiesel Influenced by Graphite

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recent Patents on Mechanical Engineering 2025年第2期18卷 129-136页

作者： Nachippan, N. Murugu Padmanabhan, S. Parthasarathy, M. School of Mechanical and Construction Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

Aim: To assess the performance and emission parameters of graphite-included mahua biodiesel at various proportions such as 10 ppm, 40 ppm, and 70 ppm. Background: The fuels derived from petroleum are harmful to the environment and deplete traditional energy sources. The discovery of alternative fuels has paved the way for various options. Studies suggest replacing diesel with vegetable oils. Neat vegetable oil has a high viscosity and low volatility characteristics, making it unsuitable for diesel engines. Methods: Transesterification of mahua seed oil produces biodiesel with graphite distributed in varying concentrations by ultra sonification. Mahua biodiesel shows reduced viscosity compared to neat vegetable oil, and it will be used as diesel in diesel engines. Patent graphite nanoparticles contained in mahua biodiesel mix (B30) indicate improved brake thermal efficiency, reduced brake-specific fuel consumption, and reduced carbon monoxide, unburned hydrocarbon, nitrogen oxide, and smoke density. Conclusion: The results of this investigation showed that multi-cylinder diesel engines with direct injection can use optimal blend B30, which incorporates graphite nanoparticles, without requiring any modifications to the engine. © 2025 Bentham science Publishers.

关键词： Alternative fuels B30 blend graphite hydrocarbon mahua biodiesel vegetable oil

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Optimizing Network Structures Through Neutrosophic Graph Product Operations and its Coloring: A Comprehensive Approach for Enhanced Connectivity and robustness

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Neutrosophic Sets and Systems 2025年 76卷 400-429页

作者： Meenakshi, A. dhanushiya, S. Department of Mathematics Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai600 062 India

Optimal network analysis requires advanced techniques to handle the inherent complexity and uncertainty of real-world systems. We have used vertex order coloring on neutrosophic graphs to find the most effective approach to improve network reliability and performance. Neutrosophic graphs( ) offer a comprehensive framework for modelling real-world networks with inherent uncertainties by incorporating degrees of truth, falsity, and indeterminacy. In this paper, we have investigated various graph product operations as a means of optimizing network structures. We further investigated the applications of vertex order coloring to identify and strong vertices within various graph operations of . We examined several products with the goal of determining the most optimal network based on particular important metrics including the total number of alpha-strong vertices, the weight of alpha-strong vertices, the chromatic number, and the weight of the graph's minimum spanning tree. The objective of our research is to identify the best solutions that strike a balance between robustness and association by rigorously studying and comparing various product operations. Our research advances the subject of network theory and provides useful information for a variety of applications, including social networks, transportation, and telecommunications. © 2025, University of New Mexico. All rights reserved.

关键词： Network theory (graphs)

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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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Systematic Analysis of Historical Analogies and Challenges: Lung Cancer detection 5

Systematic Analysis of Historical Analogies and Challenges: ...

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5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Sathyamoorthy, K. ravikumar, S. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Chennai Avadi India

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379945

Cancer is a fatal condition that usually comes on by the aggregation of several diseases and inherited illnesses. Wherever in the human body, cancerous cells can develop and cause deadly growths. Cancer, referred to as a tumor, needs to be immediately and precisely identified in its earliest phases in order to decide what can be effective for its treatment. Even while each method has its own distinct problems, some of the main reasons for death include challenging histories, poor diagnosis, and subpar treatments. The goal of the study is to evaluate, classify, examine, and discuss recent developments in the detection of cancer in lung using different learning techniques. The main objective of this work is to study and compare the different modalities like machine learning using unsupervised, supervised, as well as deep learning algorithms that can help in lung cancer detection and therapy. The findings are compared using standard datasets for metrics including precision, specificity, sensitivity, and accuracy. Several novel strategies are clustered under one cluster. Last but not least, challenges are also emphasized for prospective future work. © 2024 IEEE.

关键词： Lung cancer

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