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Information technologies and Communications (GCITC), Global Conference on

作者： Gayathri S Vijayanandh P. Thirumoorthy A.S. Valarmathy V. Samuthira Pandi D Shobana Department of Computer Science and Engineering R.M.K. Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Dhanalakshmi College of Engineering Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamil Nadu India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Rajalakshmi Engineering College Chennai Tamil Nadu India

Intelligent systems for monitoring health have been made possible by the IoT and the mental/physical health of an individual may be monitored using such a system. Determinants of numerous diseases, both physical and mental include tension, worry and high blood pressure. Problems associated with aging including anxiety, depression, stress and pressure require specialized care in this context. The prompt identification of health issues by monitoring of nervousness tension, stress, and heart rate is a key to avoiding irreversible harm. This will improve health outcomes; lessen the burden on caregivers, and save money. Find innovative technological answers for continuous monitoring of stress, anxiety, and blood pressure through the use of covert embedded sensors as well as deep learning methods. As a result of the suggested smart health monitoring system, health monitoring services may now be provided quickly, cheaply, and reliably from remote places, whereas this was not previously achievable with conventional health care systems. The implementation of a blockchain-based framework has increased the safety and privacy of patients' private information and reduced the likelihood of it being misused. Using Deep Learning and related technologies to evaluate health data for numerous goals has aided in the achievement of both preventative healthcare and fatality control. This has allowed for the early diagnosis of chronic illnesses, which was previously impossible. The combination of computing resources in the cloud and electronic storage has been introduced in order to render operations cheaper and instantaneously. This research provides a comprehensive overview of the state of health monitoring technology, including the most up-to-date developments and the most pressing problems.

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A Survey on Video-based Evidence Analysis and Digital Forensic

A Survey on Video-based Evidence Analysis and Digital Forens...

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International Conference on Computing methodologies and Communication (ICCmC)

作者： R. V. mante Reshma Khan Assistant Professor Department of Computer Science & Engineering Government College of Engineering Amravati Maharashtra India M.Tech Scholar Department of Computer Science & Engineering Government College of Engineering Amravati Maharashtra India

ISBN: (数字)9781728148892

ISBN: (纸本)9781728148908

In the past couple of decades, the most emerging domain across the globe is Information technology [IT]. It has made a significant contribution in cracking the criminal case and preparing the strong cases in the court of justice. IT technologies have become a vital tool for examination and gathering of the digital evidences. As crime rate is increasing day-by-day, in order to reduce the occurrence of crime and bring the culprit of the crime to justice, the computer forensics plays an indispensable role. With the recent technological developments, it has become more powerful and portable. Large amount of data has created stored and accessed everyday. many technologically advanced devices are acting as repositories for the collected personal information. Such devices remain portable and accessible with a single click or even to the voice command. To have such large-scale information is important to get the conviction for the culprits but at the same time, investigating agencies has to maintain the privacy of the recovered data to make it admissible in the court. This gives rise to the security mechanism for such data. Collection, analysis, investigation and reporting of the digital data come under forensic science, which is a part of digital forensics domain. In this paper, we have presented a review on the existing researches available in the field of video forensic analysis.

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Detecting Sybil Attack In Wireless Sensor Networks Using machine Learning Algorithms

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IOP Conference Series: materials science and engineering 2021年第1期1042卷

作者： mandala mounica R. Vijayasaraswathi R. Vasavi M.Tech Student of Software Engineering Dept. of Computer Science & Engineering VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad Telangana India Assistant Professor Dept. of Computer Science & Engineering VNR Vignana Jyothi Institute Of Engineering and Technology Hyderabad Telangana India

In sensitive areas such as battlefields, a Wireless Sensor Network (WSN) is especially in military and civilian applications and it is of utmost importance to develop security in these networks. In various respects, this can improve the quality of life. But to be used for protection reasons in multiple situations such as implementation. There is a high risk of being exposed to multiple viruses and hacking attacks. Unauthorized APs for information protection needs to be detected. Any malicious attacks against these networks, Like Sybil Attack leads to breach of security by enacting as a node that illegitimately declares several false identities at the same time. This misleads valid nodes, and they presume each of those identifiers as actual independent nodes by accident. Thus we proposed a machine learning model to detect Sybil attack in network where rawtraffic data has been collected and is used identify authorized and unauthorized APs in an integrated wired/wireless environment.

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Security Provision in VANETs Using Group Based Key Share Algorithm

Security Provision in VANETs Using Group Based Key Share Alg...

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2018 IEEE International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018

作者： Rai, Km manisha Yadav, Anuradha Sagar, Anil Kumar Sagar, Shrddha School of Computer Science and Engineering M.tech Computer Science and Engineering Galgotias University Greater Noida India School of Computer Science and Engineering Galgotias University Greater Noida India

ISBN: (纸本)9781538641194

In today's world VANET get a lot of attention because of its easy and comfortable less infra-structure and life-saving factor. But whatever the facilities is available now it's not properly able to provide a strong security to the vehicle to vehicle (V2V) or vehicle to infrastructure communication (V2I) so attacks obey the authentication, confidentiality, and security which can influence the privacy of the user. The mechanism of VANET is unloosed with a lot of security risk nowadays. This paper gives an idea of VANETS architecture, existing work in VANET with security issues and challenges. Further, provide the solution to that issue with comparative analysis and use group-based key share algorithm which is enhanced the privacy of users and provides some research guidance for upcoming work. © 2018 IEEE.

关键词： Authentication

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Security Provision In VANETs Using Group Based Key Share Algorithm

Security Provision In VANETs Using Group Based Key Share Alg...

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International Conference on Advances in Computing, Communication Control and Networking (ICACCCN)

作者： Km manisha Rai Anuradha Yadav Anil Kumar Sagar Shrddha Sagar School of Computer Science and Engineering M.tech computer Science and Engineering Galgotias University Greater Noida India School of Computer Science and Engineering Galgotias University Greater Noida India

ISBN: (纸本)9781538641200

关键词： Security Vehicular ad hoc networks computer architecture Routing protocols Floods Privacy

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Crowdsourcing – A Step Towards Advanced machine Learning

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Procedia computer science 2018年 132卷 632-642页

作者： Abhigna B.S. Nitasha Soni Shilpa Dixit M.Tech Scholar School of computer Science and Engineering Lingaya’s University Haryana India FET Manav Rachna International Institute of Research and Study Haryana India Assistant Professor School of computer Science and Engineering Lingaya’s University Haryana India

This paper avails an in-depth analysis of the field of crowdsourcing and its impacts when used in the world of machine learning. It comprises of various contributions that crowdsourcing can make to improvise the techniques that employ machine learning like – producing data, debugging and checking of models, hybrid smart machines to reduce the human intervention required to facilitate high quality performance by artificial intelligence and developmental experimentation to improve human-computer interaction. A discussion regarding the nature of crowd-workers follows next which focuses on various factors like their reaction to different forms of motivation, their behaviour towards each other and deceit among them. The takeaways of this paper include a few tips and routines to be followed to achieve success through crowdsourcing.

关键词： Hybrid smart machines developmental experimentation debugging model-checking crowdsourcing

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A Genetic Algorithm Based Approach for Hindi Word Sense Disambiguation

A Genetic Algorithm Based Approach for Hindi Word Sense Disa...

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International Conference on Communication and Electronics Systems (ICCES)

作者： Anidhya Athaiya Deepa modi Gunjan Pareek M.Tech Scholar Department of Computer Science and Engineering wami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan Assistant Professor Department of Computer Science and Engineering Swami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan

ISBN: (纸本)9781538647660

Word Sense Disambiguation (WSD) is the procedure of selecting precise sense or meaning for a word in a given context. Word sense disambiguation goes about as an establishment to different AI applications as data mining, information recovery, and machine interpretation. The issue solicits to figure out which sense from the polysemous word is appropriate in a given context. Previously a few methodologies have been proposed for WSD in English, German and so forth, however, work on WSD in Hindi is limited. In this work, a genetic algorithm based approach is presented for Hindi WSD. The feature of dynamic setting window is used which contains left and right expression of a vague word. The cardinal supposition of this approach is that the target word must have a common topic in its neighborhood. For finding all possible senses of an ambiguous word, WordNet created by IIT Bombay is used.

关键词： Genetic algorithms Sociology Statistics Biological cells microsoft Windows Conferences Testing

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Effect of graphene, SiC and graphite addition on hardness, microstructure and electrical conductivity of microwave sintered copper mmCs fabricated by powder metallurgy route

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Journal of Physics: Conference Series 2019年第1期1355卷

作者： Ayyappadas, C Shanu, O S Vijayan, Abhilash mohammed, Irfan A Vishnu, V Shamnadh, m Assistant professor Department of Mechanical Engineering NSS College of Engineering Palakkad Kerala-678008 India M.Tech student Computer Integrated Manufacturing Department of Mechanical Engineering TKM College of Engineering Kerala-691005 India Assistant professor Computer Integrated Manufacturing Department of Mechanical Engineering TKM College of Engineering Kollam Kerala-691005 India

Copper mmCs reinforced with graphene, SiC and graphite flakes with varying mass fractions of 2.5, 5, and 7.5 wt% SiC, 2.5, 5, 7.5, and 10 wt% graphite and 0.2, 0.4, 0.6 and 0.8wt% graphene particles were fabricated through powder metallurgy route. The powder mixtures were blended and then compacted under a uniaxial pressure of 400mPa for both Cu-SiC and Cu-Gr composites and 600mpa for Cu-Gn composites. Green compacts were sintered by microwave (mW) sintering process. mW sintering was performed at 950°C in open atmosphere with a heating rate of 25°C/min for all composites. Densification parameter (DP) was determined for all mmCs and a reduction in DP values were observed with an increase in weight percentage of reinforcement particles as a result of increase in porosity. Higher mass fractions of reinforcement particles in the Cu matrix tend to offer a diffusion barrier to copper atoms. micro-structural analysis was performed using Optical and scanning electron microscope which revealed a homogeneous microstructure of all composites at low mass fractions of Sic, graphite and graphene. In order to detect the presence of any oxides of Cu and other elements, EDS analysis was carried out. Hardness data showed an increasing trend for Cu-SiC and Cu-Gn composites and a declining trend for Cu-Gr composites. Porosity has a significant effect on the electrical conductivity values of the composites.

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Different Controlling method of Closed Loop DC-DC Buck Converter: A review

Different Controlling Method of Closed Loop DC-DC Buck Conve...

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International Conference on Smart Systems and Inventive technology (ICSSIT)

作者： Sushmita Ghosh Sambit Satpathy Sanchali Das Swapan Debbarma Bidyut K Bhattacharyya M.Tech Scholar Electronics and Communication Engineering NIT Agartala Jirania and 799046 India P.h.D Scholar Computer Science and Engineering NIT Agartala Jirania and 799046 India Assistant Professor Computer Science and Engineering NIT Agartala Jirania and 799046 India Professorr Electronics and Communication Engineering NIT Agartala Jirania and 799046 India

ISBN: (纸本)9781538658741

Over the last few years, DC/DC buck converters have been the subject of great interest due to its higher utility for different applications. In this review paper, we explain about various types of controlling method of dc-dc buck converter for closed loop feedback system. The study is focused on various specified application such as wireless network, computer server, computer CPU, telephonic system etc. Here we consider about linear, nonlinear, voltage control, current control, and switch mode controller for design the closed loop system. In linear controlling method, we consider about PID controller, its tuning process, and finding other system parameter. But linear systems fails to work properly in real-time applications, hence we have to think about nonlinear controller and due to this reason, we consider switching mode controller, Hysteretic current and voltage mode controller etc.

关键词： Buck converters Voltage control Switches Pulse width modulation Sliding mode control Tuning

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Detection and Analysis of Human Emotions through Voice and Speech Pattern Processing

arXiv

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arXiv 2017年

作者： Dasgupta, Poorna Banerjee M.Tech Computer Science and Engineering Nirma Institute of Technology AhmedabadGujarat India

The ability to modulate vocal sounds and generate speech is one of the features which set humans apart from other living beings. The human voice can be characterized by several attributes such as pitch, timbre, loudness, and vocal tone. It has often been observed that humans express their emotions by varying different vocal attributes during speech generation. Hence, deduction of human emotions through voice and speech analysis has a practical plausibility and could potentially be beneficial for improving human conversational and persuasion skills. This paper presents an algorithmic approach for detection and analysis of human emotions with the help of voice and speech processing. The proposed approach has been developed with the objective of incorporation with futuristic artificial intelligence systems for improving human-computer interactions. Copyright © 2017, The Authors. All rights reserved.

关键词： Speech processing

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