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FPGA Interfaced IoT System for Smart Medical Robot Monitoring System 2

FPGA Interfaced IoT System for Smart Medical Robot Monitorin...

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2nd International Conference on Computer, Communication and Control, IC4 2024

作者： Tharwin Kumar, R. Abinaya, S.P. Prakash, D. Janaki, N. Sivarajan, S. Mani, P. Puducherry Technological University Department of Electrical and Electronics Engineeri Puducherry India Velammal Engineering College Department of Information and Technology Chennai India S. A Engineering College Department of Electronics and Communication Engineering Chennai India Vels Institute of Science Technology and Advanced Studies Department of Electrical and Electronics Engineering Tamilnadu Chennai India Vel Tech Multi Tech Dr. Rangarajan Dr Sakunthala Engineering College Avadi Department of Electrical and Electronic Engineering Chennai India K. Ramakrishnan College of Technology Electronics and Communication Engineering Trichy India

ISBN: (纸本)9798350387933

New and improved technology for illness prevention, early detection, and treatment are being encouraged by rising health consciousness and rising medical care costs. The creation of a low-cost initial verification platform layout depends on the FPGA-based system. It has been suggested in the past that sensor nodes built on the FPGA platform would be entry-level IoT devices. The goal of this paper is to create an IoT-based smart health tracking system. The system was created to use wearable technologies and FPGA to gather health data. This technology employs a robot's sensors as an intelligent sensor interface. A multi-sensor healthcare platform may be coupled with the FPGA-based IoT low-end programmable pulse sensor interface architecture to monitor a person's pulse vital sign. Three sensors the heartbeat sensor, temperature sensor, and blood pressure sensor are employed in this system to collect patient data. It has the ability to constantly track a patient's vital signs. Patients' conditions are communicated to loved ones and medical personnel via SMS and the Blynk website. In an Internet of Things context, the complexity of the code may be minimized by using reconfigurable smart sensor interface with a robot. © 2024 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Detection of Man in The Middle Attack in 5G IOT using Machine Learning

Detection of Man in The Middle Attack in 5G IOT using Machin...

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2023 International Conference on Recent Advances in Science and engineering technology, ICRASET 2023

作者： Arul Stephen, C. Vijayalakshmi, A. Broody, J. Sathishkumar, J. Sri Abishek.b, Ebenezer Sathish Kumar, P. Vels Institute of Science Technology and Advanced Studies Dept. of Ece Chennai600062 India Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Dept. of Ece Chennai600062 India Rajalaksmi Institute of Technology Dept. of Ece Chennai India

ISBN: (纸本)9798350306927

Detection is therefore a vital element of any wireless network's security solution. Consequently, a dependable wireless intrusion detection system capable of identifying Man-in-the-Middle attacks within the Internet of Things is shown here. In this study, empirical evidence is presented to support the notion that a Man-in-the-Middle attack results in a much longer delay than other forms of attacks. In order for organizations to properly protect their sensitive data, they require a way of forecasting MITM attacks that is both faster and more accurate. Our investigations into this occurrence will be oriented on enhancing our preparedness for future attacks of a similar sort. To identify Man-in-the-Middle (MITM) attacks, we examined a number of machine learning algorithms and evaluated them by applying them to a log collection gathered from Internet of Things devices. A variety of performance measures for models were the subject of study. The GNB methodology requires much less time for both prediction and testing than other methods such as KNN and Random Forest. With a probability of 99.6 percent, GNB is extremely likely to be true. As a result, the GNB method is enough for assessing the presence or absence of an MITM attack.. © 2023 IEEE.

关键词： Wi-Fi

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Artificial Intelligence and HR Digitalization Facilitated by Transformational Leadership

Artificial Intelligence and HR Digitalization Facilitated by...

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Intelligent Computing and Control for engineering and Business Systems (ICCEBS)

作者： S. Anisha Estherita S. Vasantha D. Sungeetha Department of Management Studies Vels Institute os Science technology and Advanced Studies Chennai Saveetha School of Engineering SIMATS Chennai

HR digitalization involves automation of mundane and repetitive tasks, freeing up the employees’ time to concentrate on more crucial responsibilities. Transformational Leadership is a leadership style that promotes employees to achieve elevated levels of performance. Transformational leadership is capable for facilitating HR digitalization and incorporating Artificial Intelligence technologies in the day-to-day HR practices. Digitalization and Artificial Intelligence is the need of the hour for every business to survive and compete in the market. As humans are the major resources of any organization, manifestation of digitalization and Artificial Intelligence into the Human Resource practices serves beneficial. The primary aim of this article is to comprehensively examine how the application of transformational approach to leadership integrates HR digitalization and Artificial Intelligence in focus to improve the efficiency of the organization. The main purpose of this review article is to enrich the existing literatures related to the topic. In the end, the researchers reached at a conclusion that transformational leaders ensure that transition is managed effectively to minimize disruption and maximize the benefits derived from HR digitalization and Artificial Intelligence. Additionally, it was found that Artificial Intelligence and transformational leadership complement each other by enabling innovation, data driven decision-making and positive changes within the organization.

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Protection of Hazardous Places in Industries using Machine Learning

Protection of Hazardous Places in Industries using Machine L...

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Emerging Smart Computing and Informatics (ESCI), Conference on

作者： Praveen Sankarasubramanian Computer Science and Engineering Vels Institute of Science Technology & Advanced Studies Chennai Tamil Nadu India

Extreme precautions must be observed to handle toxic wastes, radioactive substances, chemical raw materials, chemical wastes, and bio-products in different industries. Any malfunction in a dangerous traffic network can lead to serious accidents, deaths and / or serious damage. Direct monitoring and analysis, and preventive measures to prevent the spread of failures, can significantly reduce the recurrence of adverse effects. Current research suggests that detailed publicity and information on the latest developments in pipeline monitoring and research may help modernize the oil industry in the future. We also propose a framework to detect timely leakage in pipelines, especially in oil and gas sector.

关键词： Oils Current measurement Pipelines Machine learning Raw materials Petroleum industry Informatics

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Appropriate Detection of HAM and Spam Emails Using Machine Learning Algorithm

Appropriate Detection of HAM and Spam Emails Using Machine L...

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Advances in Computing, Communication and Applied Informatics (ACCAI), International Conference on

作者： T. Jaya R. Kanyaharini Bandi Navaneesh Department of Electronic and Communication Engineering Vels Institute Of Science Technology and Advanced Studies (VISTAS) Chennai India

An clever and automatic anti-unsolicited mail framework is vital because of the excessive increase of unsolicited e-mail assaults and the inherent malevolent dynamic inside the ones assaults on numerous social, personal, and expert work. There is an increased risk of identity theft, theft of sensitive information, financial loss, damage to reputation, and other crimes that threaten the privacy of the victim. When taking into account the multidimensional feature set of email, current methods are rather fallible. We believe that an artificial intelligence-based strategy is the most effective one going forward, particularly unsupervised machine learning. Exploring the application of unsupervised learning for ham and spam clustering in the mail by comparing these Random Forest, Logistic, Random Tree, Bayes Net, and Naïve Bayes algorithms with LTSM Algorithms by using frequency weightage of words and validating the best accuracy is the purpose of this study.

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Design of a Solar Fed Phase Shift Full Bridge Converter for Microgrid

Design of a Solar Fed Phase Shift Full Bridge Converter for ...

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Electronics and Sustainable Communication Systems (ICESC), 2020 International Conference on

作者： Harshini Panda S Pradeep Kumar Electrical and Electronics Engineering Vels Institute of Science Technology and Advanced Studies Pallavaram Chennai Tamilnadu India

The work suggests utilising the different optimization techniques to design a solar power fed Phase Shift Full Bridge (PSFB) DC-DC converter to feed a 48 Volt DC microgrid which can be used to satisfy the voltage levels of household appliances. Microgrid is a compact network of electricity consumers with a nearby power source that is typically connected to a centralised grid but has the capacity to operate on its own. These Solar-powered fed PSFBs can also be used to charge these batteries. Solar energy is employed as the converter’s input source since it is abundant and simple to install, making it a viable renewable energy source. A MPPT approach is used to get the most power out of PV panels. The duty cycle of the switching signals produced by the MPPT control algorithm are sent to the converter. Salp Swarm Algorithm (SSA) and Emperor Penguin Optimization (EPO) serves as the control algorithm in this situation. They are metaheuristic algorithm that makes sure the PV panel functions at the best voltage and current in order to harvest the most electricity under all climatic situations. The remainder of the solar energy is used to charge the battery when the converter reaches the desired power. By Using Matlab 2015a/Simulink, the overall system efficiency is calculated based on the metaheuristic approach utilised for MPPT tracking. This article suggests a solar-powered fed PSFB that is SSA and EPO based, which works well as an approach for feeding the energy source to the microgrid and battery.

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Integrated PV-Based Boost-Cuk Converter For EV Charging Station Applications 1

Integrated PV-Based Boost-Cuk Converter For EV Charging Stat...

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1st International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems, iTech SECOM 2023

作者： Sathish, R. Sekar, V. Tharwin Kumar, R. Jayakumar, T. Janaki, N. Karthikeyan, D. Dhanalakshmi Srinivasan University Department of Electrical and Electronics Engineering Samayapuram India Dhanalakshmi Srinivasan University Cum Dean - Planning and Development Samayapuram India Puducherry Technological University Department of Electrical and Electronics Engineering Puducherry India Nandha Engineering College Department of Electrical and Electronics Engineering Erode India Vels Institute of Science Technology and Advanced Studies Department of Electrical and Electronics Engineering Chennai India Srm Institute of Science and Technology Department of Electrical and Electronics Engineering Kattankulathur Chennai India

ISBN: (纸本)9798350371185

Electric Vehicles (EVs) deliver ecologically friendly transportation, however, the electric vehicle industry has relatively little growth on an annual basis due to a lack of EV charging stations, a lengthy charging process, and grid uncertainty during high usage times. In this study, a quick charging, high gain DC to DC converter and a network combined solar PV-founded electric vehicle charging station application control algorithm are proposed. Fast accusing positions, chiefly super-fast charging stations puts a strain on the electrical infrastructure due to potential excess during top hours, abrupt control outages, and voltage sags. By combining the boost-Cuk converters, a unique DC-to-DC converter that combines the impressive advantages of a large conversion range, reduced voltage stress, and great efficiency is devised to overcome the inherent intermittency associated with PV. The Ant Lion Optimized PI Controller is consequently utilized to extract the best values of frequency and voltage PI gains and to control the proposed hybrid converters. With an ideal accuracy of 93 %, the simulation conducted to measure the presentation of the planned EV charging system consuming MATLAB has proven that the methodology's better performance is delivered. © 2023 IEEE.

关键词： Pulse width modulation

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Performance Analysis of Two-Way Relay in Free Space Optics Systems 2

Performance Analysis of Two-Way Relay in Free Space Optics S...

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2nd IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2024

作者： Ashok, P. Ravindaran, F. Soundara Rajan, C. Janaki, N. Chitra, S. Anandaram, Harishchander Maharashtra Pune India Tamilnadu Coimbatore India Maharashtra Pune India Vels Institute of Science Technology and Advanced Studies Department of Electrical and Electronics Engineering Tamilnadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Tamilnadu Chennai India Amrita Vishwa Vidyapeetham Amrita School of Artificial Intelligence Coimbatore India

ISBN: (纸本)9798350317558

The purpose of this research is to evaluate the effectiveness of Two-Way Relay (TWR) aided Free Space Optics (FSO) systems in a variety of atmospheric conditions, such as route loss, aiming errors, and atmospheric turbulence. In order to illustrate the effects of varying levels of turbulence, ranging from mild to severe, several statistical models are employed, such as log-normal and Gamma-Gamma, to represent the fading caused by air turbulence. There is a remarkable degree of congruence between the theoretical evidence and the experimental data in these models. For the system and channel models that have been provided, the statistical features of the instantaneous signal-to-noise ratio (SNR) are computed. Furthermore, the evaluation of error performance involves the computation of the mean Symbol Error Rate (SER) for M-PSK modulation. Bi-directional cooperative relaying schemes have demonstrated their ability to enhance the spectral efficiency of FSO networks connecting two users. TWR is expanded in a multiple user FSO system by implementing several multiuser scheduling techniques at the TWR to choose a single user-pair. The TWR facilitates a two-way communication connection between the designated pair of users. An optical channel is considered that experiences fading due to aiming errors and air turbulence, modelled using the M-distribution. For the system and scheduling approaches that have been given, closed form methods are utilized in order to compute the outage probability and bit error rate (BER). The expressions are formed using Meijer's G-function, which provides succinct and easily calculable formulas. In addition, the discussion includes asymptotic expressions to gain a deeper understanding of the analytical conclusions that have been produced. © 2024 IEEE.

关键词： Fading Effects Free Space Loss Free Space Optics Quantum Cascade Lasers Turbulence Effects Two-Way Relay

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MPPT Controller For Grid Tied PV System Based On Improved Sepic Converter

MPPT Controller For Grid Tied PV System Based On Improved Se...

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International Conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： T. R. Premila S. Mohamed Ibrahim badusha K. Shankar Raja P. Gobinath Department of Electrical and Electronics Engineering Vels Institute of Science Technology Advanced Studies(VISTAS) Pallavaram Chennai

Solar Photovoltaic (PV) systems are becoming more and more popular because they convert solar radiation directly into clean, renewable electricity. Partial shading situations are when a PV module may be partially shadowed, which might result in a reduction in the solar panel's power production. It significantly lowers the system's power output. To address this, continuous duty cycle variation methods that track MPP under partial shade have been proposed. An innovative Type-2 Fuzzy Maximum Power Point Tracking (MPPT) algorithm that can monitor a Supreme Power Point in the presence of numerous local maxima has been incorporated into the proposed system. In these schemes, the proposed Improved Single Ended Primary Inductance Converter (SEPIC) is coupled to PV module to enable the maximum output voltage under any given circumstance. This makes the device more compact. The converter's objective is to deliver input currents with an acceptable harmonic content in a grid interface while maintaining a constant power supply. Finally, several numerical simulated testing of the proposed control utilizing the MATLAB is carried out.

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Triangular Formation Cluster Space Control for Multi-Agent Entrapment/Escorting Tasks

Triangular Formation Cluster Space Control for Multi-Agent E...

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2023 IEEE Conference on Control technology and Applications, CCTA 2023

作者： Cruz, Ernesto Monroy Carrillo, Luis Rodolfo Garcia Quesada, Eduardo Steed Espinoza Hidalgo Mexico New Mexico State University Klipsch School of Electrical and Computer Engineering New Mexico United States Center of Research and Advanced Studies of the National Polytechnic Institute Mexico National Council of Humanities Science and Technology Mexico

ISBN: (纸本)9798350335446

The task of enabling a multi-agent system for entrapping and escorting static/dynamic targets in the context of cluster space control is addressed. The proposed methodology consists of two main strategies. On one hand, the entrapping and escorting problems are specified in terms of cluster parameter trajectories, resulting in individual robot motions capable of satisfying the required multi-agent formation behavior. On the other hand, a fuzzy logic controller is designed in order to deal with the uncertainty in the model of the platform used in laboratory tests. Experimental results showing a team of three ground mobile robots entrapping a static target, as well as escorting a dynamic target demonstrate the effectiveness of the proposed control scheme. © 2023 IEEE.

关键词： Multi agent systems

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