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Smart Villages: IoT technology Based Transformation

Journal of Physics: Conference Series 2021年第1期2070卷

作者： Pankaj Mudholkar Megha Mudholkar B S Puneeth Kumar V Dankan Gowda S. Srinivasulu Raju Assistant Professor Department of Master of Computer Applications. Thakur Institute of Management Studies Career Development and Research Mumbai Maharashtra (State) INDIA Assistant Professor Department of Computer Science. St. Joseph's College (Autonomous) Bangalore Karnataka (State) INDIA Assistant Professor Department of Electronics and Communication Engineering. B.M.S. Institute of Technology and Management Bangalore Karnataka (State) INDIA Department of Electronics and Instrumentation Engineering. Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada Andhra Pradesh(State) INDIA

In recent years, large-scale urbanisation has been on the rise with cities being the hubs for growth, but rural business continues to play an important role in any country's overall development. A recent report reveals that almost 69 percent of India's population resides in their villages, accounting for almost 50 percent of the nation's GDP. This agricultural region varies from small towns with less than 500 residents to small towns. There are also similar situations in western nations. Despite their economic contribution, smaller villages seem to earn fewer in terms of infrastructural expenditure. The major problems addressed in these small towns include shortage of adequate public transit, emergency care and limited knowledge on federal subsidies for rural areas. Our vision is to expand the Smart city to Smart village by allowing use of recent technical advances and giving more attention to the problems in rural areas. The approach in this chapter is to bring IoT technology to Villages by literally showing a network of linked sensors and knowledge dissemination devices, controlling energy use and ensuring infrastructure protection. It gives a wide-ranging vision of enhancing the standard of living in villages and encourages them to meet the essential needs of domestic villagers.

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Secured payment system using face recognition technique

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AIP Conference Proceedings 2020年第1期2282卷

作者： Arun Misra Rahul Kumar Dev Mr. M. Rajasekaran 1B. Tech Computer Science and Engineering SRM Institute of Science and Technology Chennai India 2Assistant Professor Computer Science and Engineering SRM Institute of Science and Technology Chennai India

This paper describes the process through which “Secured payment system using face recognition technique”- project has been made. It describes the main objective of the project which is to be able to develop a secured and robust payment system using face recognition in python programming language with the help of OpenCV. It uses confidence value which can be described as the value generated by the system informing us about the accuracy of prediction. This project was made by combining various detection modules and pattern recognizer. In this project various existing methods are combined together to give us the result. Pin and one time password (OTP) are used for security measures to make safe and successful transaction. OTP will be sent to the registered phone number of the user.

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Garbage Waste Segregation Using Deep Learning Techniques

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IOP Conference Series: Materials science and engineering 2021年第1期1012卷

作者： G Sai Susanth L M Jenila Livingston L G X Agnel Livingston School of Computer Science and Engineering Vellore Institute of Technology Chennai Tamil Nadu India - 600127 Assistant Professor CSE Department St. Xavier's Catholic College of Engineering Chunkankadai Nagercoil Kanyakumari District Tamil Nadu India - 629003

Waste segregation is one of the primary challenges to recycling systems in major cities in our country. In India, 62 million tons of garbage is generated annually. Of this 5.6 million tons of wastes consist of plastic materials. About 60 percent of this is recycled every year. In addition, 11.9 million tons are recycled from 43 million tons of solid waste produced. Though the numbers sound good, a serious problem in the recycling industry is the segregation of waste before recycling or any other waste treatment processes. In India, at present situation waste is not segregated when collected from households. So a lot of workforce and effort are needed to separate this waste. In addition to this people working in this industry are prone to various infections caused due to toxic materials present in the waste. So the idea is to decrease the human intervention and make this waste segregation process more productive. The proposed work is aimed to build an image classifier that identifies the object and detects the type of waste material using Convolutional Neural Network. In this work, four different models of the CNN, such as ResNet50, DenseNet169, VGG16, and AlexNet, trained on ImageNet, are used to extract features from images and feed them into a classifier to make predictions and distinguish a type of waste from its corresponding category. The experimental results showed that the performance of DenseNet169 was significantly greater than all four models and the performance of ResNet50 is closer to DenseNet169.

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Design and analysis of shell and tube heat exchanger for low temperature applications using CFD

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IOP Conference Series: Materials science and engineering 2020年第4期912卷

作者： R S Anand Shibin David M. Gajendiran Kingston Stanley Research Scholar Department of mechanical Engineering Karunya Institute of Technology and Sciences Coimbatore India Assistant Professor Department of Computer Science and Engineering Karunya Institute of Technology and Sciences Coimbatore India Assistant Professor Department of Mechanical Engineering Sri Venkateswara College of Engineering Chennai India Assistant Professor Department of Biomedical Engineering Karunya Institute of Technology and Sciences Coimbatore India

A shell and tube device is deployed for the applications such as oil refinery processes, chemical processes and high pressure technologies. The hot fluid flows to the tubes in the heat exchanger, and the cool fluid moves through the shell section. Hence, heat is transferred from the tube section to the shell section of the heat exchanger. This article is deals with the modelling and analysis of mini shell and tube heat exchanger (MSTHE) for low temperature applications which is less than 250°C. The design of the heat exchanger is made with nine tubes which are of 6 mm diameter and shell of 41 mm diameter. As conventional design does not result in the internal heat transfer, computational fluid dynamics scheme is adopted to design the modified heat exchanger by adopting the conditions such as velocity of tube fluid and pressure drop. The modelling of MSTHE is done by Pro/E whereas CFD analysis is done with ANSYS. The contour obtained from the analysis proves that the MSTHE is applicable for the temperature less than 250°C and have the potential to transfer heat effectively.

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Review on various authentication schemes and attacks on connected vehicles

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IOP Conference Series: Materials science and engineering 2020年第1期993卷

作者： M. S. Bennet Praba J S Femilda Josephin Assistant Professor Department of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram Chennai India. Associate Professor Department of Software Engineering SRM Institute of Science and Technology Kattankulathur Chennai – 603 203 India.

Connected cars are comfortable to drivers. But it also threat to humans. Connected vehicles share data like street safety, traffic analysis, road administration information like café, hospital, etc utilizing intruded on web availability and it is time delicate. Connected vehicles allow drivers and passengers to connect to the outside world while on the road. Security is the primary challenge for automakers and other stakeholders, because connected vehicles rely on wireless and cellular communication interfaces. Information should be protected from intruders. The communications between connected vehicles should be a trusted one. Safety is the primary focus of connected cars and the intruders should be identified and the intruders and falsified nodes can be identified by authentication schemes. In VANET vehicles react as indicated by the data got from the opposite end, so it is very vital that the data spreading in the framework is valid and produced by a genuine client. But there are many pitfalls in various authentication schemes. Privacy of the connected vehicles should be while sharing information and also information shared between connected vehicles should be an authenticated one. So still it a major challenge in connected vehicles due to the special characteristics like mobility, time sensitive, etc. This survey discussed the various authentication schemes and the various attacks related to that. Based on the survey, future directions of the secured trusted communications of connected vehicles have been discussed. The aim of this survey is to identify secured authentication techniques for a trusted communication.

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Multi Path Routing Technique Based RRP for P2P Network

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IOP Conference Series: Materials science and engineering 2020年第1期994卷

作者： Mary Subaja Christo R. M. Bommi K. Mariyappan Associate Professor Department of Information Science and Engineering Faculty of Engineering Technology Jain University Bangalore India Associate Professor Mechatronics Engineering Department Chennai Institute of Technology Kundratur India Assistant Professor Department of Computer Science and Engineering Jain University Bangalore India

All articles must contain an abstract. Peer to Peer (P2P) network is useful for developing applications and downloading files from the internet. In the existing P2P networks, communication is initiated and supported by peers. Security issues constitute the main challenge in the design of reliable communication techniques for P2P networks. In the past, Rumor Riding Protocol was used in distributed systems for performing coordination and communication. However, the existing Rumor Riding Protocol is used flooding technique to forward the response to the initiator it may leads high network traffic to avid this I have Enhanced Multi path forwarding technique to Rumor Riding Protocol and also enhancement with security features to make them suitable for downloading applications in P2P networks. In this method, it enhances the Rumor Riding Protocol with security features by including a Cryptographic Puzzle, a Challenge Question scheme using trust modeling and an intelligent beta reputation model for secured communication in P2P networks. For this purpose, five new techniques are proposed in this research work, all of which aim at enhancing the security of communication using Rumor Riding Protocol in the P2P networks.

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H-array system on picture languages with array rewriting rules

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AIP Conference Proceedings 2020年第1期2277卷

作者： D. K. Sheena Christy P. John Paul D. G. Thomas 1Assistant Professor Department Of Mathematics SRM Institute Of Science And Technology India 2Teaching Associate Department Of Computer Of Science And Engineering SRM Institute Of Science And Technology India 3Professor Department Of Science and Humanities Saveetha School Of Engineering SIMATS India

Splicing systems was first proposed by Head on organic considerations to demonstrate indubitable chimeric behavior of DNA particles and are of current intrigue and study. In this paper, we study some of the chomskian hierarchy of array grammars namely (Regular:Regular)array grammar,(Context Free:Regular)array grammar and (Regular:Context Free)array grammar using H-array system. The Array rewriting rules is limited to extent by the action of row and column splicing.

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Visualization and Classification of Diseases using Deep Learning Based Convolution Neural Network

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IOP Conference Series: Materials science and engineering 2020年第1期937卷

作者： D.A Janeera P. Amudhavalli P Sherubha S.P Sasirekha P. Anantha Christu Raj R Sitharthan Assistant Professor Sri Krishna College of Engineering and Technology Coimbatore Assistant Professor Department of Computer Applications B S AbdurRahman Crescent Institute of Science and Technology Chennai Independent Researcher Coimbatore ORCID: 0000-0002-5945-2402 Research Scholar Karpagam Academy of Higher Education Coimbatore Assistant Professor Robotics Engineering Karunya Institute of Technology and Sciences Coimbatore School of Electrical Engineering Vellore Institute of Technology Vellore

In the contemporary phase of big data, data visualization is one of the challenging segment of the discovery process. For a classifier, the primary goal is to identify the hidden levels of big data. The performance of classifiers depends on the feature space, number of classes and size of the data. To improve the reliability, efficiency and accuracy of the classifiers, new algorithms are required for analysis. This paper enables classification and visualization of information on diseases using a Deep Learning based Convolution Neural Network classifier. For feature selection and handling massive data in analysis of multivariate data is performed using particle swarm optimization (PSO) and principal component analysis (PCA) techniques. Real-world datasets are utilized for demonstration of the proposed learning algorithm. Deep learning classifiers are scientifically higher and offers better performance when compared to other classifiers according to the comparative study.

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Spatial interpolation of meteorological data and forecasting rainfall using ensemble techniques

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AIP Conference Proceedings 2020年第1期2207卷

作者： S. Dhamodaran Albert Mayan J. N. Saibharath N. Nagendra M. Sundarrajan 1Assistant Professor Dept. of Computer Science and Engineering Sathyabama Institute of Science & Technology Chennai India 2U.G. Student Dept. of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India 3Periyar Maniammai Institute of Science & Technology Thanjavur (Tamilnadu) India

Heavy rainfall prediction is a noteworthy issue for meteorological division as it is intently connected with the economy and life of human. It is a reason for cataclysmic events like flood and dry season which are experienced by individuals over the globe consistently. Precision of rainfall gauging has extraordinary significance for nations like India whose economy is to a great extent subject to agribusiness. Because of dynamic nature of air, Statistical strategies neglect to give great precision to rainfall anticipating. Spatial insertion of downpour check information is essential for Eco hydrology study (or) demonstrating of land corruption. The month to month rainfall information recorded at meteorological stations is investigated to examine the spatial examples of rainfall. The spatial addition strategies was connected to display the spatial inconstancy of rainfall for the quite a long while. The precision of the addition result was estimated by embracing the spatial introduction method (i.e Inverse Distance Weighted). From the outcomes inferred utilizing the spatial interjection, we foresee the rainfall utilizing three algorithms (i.e Support Vector Machine, Random Forest Algorithm, Deep Learning Algorithm). In the wake of getting the outcomes correlations are made between those three calculations. The principle motivation behind the work is guide of specific locale and to learn about the variable factors that are impacting to anticipate the rainfall and from that investigation we look at three changed calculation and demonstrate the outcome which one best to foresee the rainfall. The calculation which predicts the exact rainfall is viewed as the best calculation for anticipating rainfall.

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Innovative Task Scheduling Algorithm in Cloud Computing

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： S. Magesh Kumar V. Auxilia Osvin Nancy A Balasundaram Seena Naik korra D Kothandaraman E Sudarshan Associate Professor Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Assistant professor Department of IT S. A. Engineering College Chennai Tamil Nadu India Assistant Professor Center for Cyber Physical Systems (CPS) School of Computer Science and Engineering Vellore Institute of Technology (VIT) Chennai Tamil Nadu India Associate Professor School of Computer Science and Artificial Intelligence S R University Warangal India Associate Professor Sumathi Reddy Institute of Technology for Women Warangal India

This work concentrates around the task scheduling depends on QoS and imperative of desire. Under nature of vibrant cloud computing, effectiveness improving of scheduling of task and load balancing are interminable issues. For clients, be that as it may, it's progressively imperative to meet their necessities of QoS. This paper identifies with an improvement decency intention depends on new Berger's model under the earth of vibrant cloud computing. As indicated by the distinctive kind of task scheduling, we portray the need of decency, proficiency and the Balance among advantage and reasonableness separately. We recompile the CloudSim and recreate the three undertaking task scheduling above based on expanded CloudSim individually. The exploratory outcomes show that this calculation portion not just meet the guideline of offering need to profit with because of thought to decency, yet additionally address clients' issues of orchestrated QoS.

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