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Global Conference for Advancement in technology (GCAT)

作者： Chintala Nageswara Rao K Chatrapathy A Jainul Fathima Goski Sathish Saptarshi mukherjee Pundru Chandra Shaker Reddy CSE-AI & ML Geethanjali College of Engineering and Technology Hyderabad India School of Computing & Information Technology REVA University Bengaluru Karnataka India Information Technology Francis Xavier Engineering College Tirunelveli TamilNadu India Information Technology St. Martins Engineering College Dhullapally Hyderabad India M.Tech-Bioinformatics Maulana Abul Kalam Azad University of Technology West Bengal India School of Computer Science and Engineering Lovely Professional University Phagwara Punjab India

The mortality and morbidity rates associated with breast cancer are extremely high. In the fight against breast cancer (BC), a correct diagnosis is crucial. The diagnostic process can benefit from the application of machine-learning (mL) and deep-learning (DL) strategies. In this paper, a deep-recurrent-neural-network (DRNN) technique optimized for breast cancer analysis using RNN and the Keras-Tuner optimization technique is proposed. The input layer, five hidden layers, five dropout layers, and the output layer make up the optimized DRNN. It fine-tuned the dropout layer’s neurologist count and firing rate for each successive hidden layer. The most crucial data points have been elected utilizing three different feature-selection methods. The optimized DRNN was contrasted to five standard mL strategies: decision-tree (DT), support-vector-machine (SVm), random-forest (RF), Naïve-Bayes (NB), and the K-nearest neighbor algorithm (KNN). The elected features have been applied to both standard mL models and optimized DRNN. The outcomes showed that, compared to the other models, the cross-validation (CV) and testing outcomes were best achieved (99.16%) by the optimized DRNN with the features picked by univariate.

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motion Pattern Recognition from Crowded Video

Motion Pattern Recognition from Crowded Video

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International Conference on Reliability, Infocom.technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Upasana Singh manoj Kumar Choubey Dept of Computer Engineering & Applications M.tech CSE GLA University Mathura India Dept of Computer Engineering & Applications GLA University Mathura India

ISBN: (数字)9781728170169

ISBN: (纸本)9781728170176

During the previous decades, in the era of video surveillance, an immense consideration had been given to crowd video control and crowd management. Among the undertakings for video surveillance, retrieval of crowd video is a very challenging task. motion Pattern Recognition from Crowded Video generally faces the problem of occlusion, low resolution, cluttering sometimes object social interaction is not present then find the abnormal behavior is quite tough. We handle these pattern recognition problems by introducing the social force model approach in which we calculate the social force between pedestrians presented in the crowd which helps in recognizing the behavior of the crowd in an abnormal situation. In our approach, we find some well-known types of motion pattern these are: lane, ring, fountainhead, and bottleneck [1]. In this paper, our proposed approach focused on some steps these are: preprocessing of frames, calculate optical flow, calculate the social force model among pedestrians, Clustering after Jacobian matrix calculation and in the last step behavior recognition with the help of KNN classifier.

关键词： Force Jacobian matrices Optical flow Pattern recognition Surveillance mathematical model Brightness

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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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Decision for Vertical Handover using k-means Clustering Algorithm

Decision for Vertical Handover using k-Means Clustering Algo...

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IEEE Bombay Section Signature Conference (IBSSC)

作者： Siddharth Goutam Srija Unnikrishnan Neel Kudu Fr. Conceicao Rodrigues College of Engineering Fr. Agnel Ashram Bandstand Bandra (West) Mumbai Maharashtra India M.Tech Computer Engineering VJTI Matunga Mumbai Maharashtra India

ISBN: (数字)9781728189932

ISBN: (纸本)9781728189949

In this research paper, we have implemented the decision for Vertical Handover using k-means Clustering. We have analyzed the accuracy of the algorithm. The input parameters considered are Received Signal Strength (RSS), Quality of Service (QoS), Bandwidth and Network Coverage. We have derived the Quality of Service for a network using network parameters like packet loss, latency and jitter.

关键词： IEEE Sections Conferences Clustering algorithms Packet loss Quality of service Handover Jitter

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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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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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