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An empirical research on consumer online buying behaviour during the COVID-19 pandemic

IOP Conference Series: Materials science and engineering 2021年第1期1055卷

作者： C Jamunadevi S Deepa K T Kalaiselvi R Suguna A Dharshini Assistant Professor Department of Computer Technology-PG Kongu Engineering College Perundurai Erode India Associate Professor Department of Management Studies Erode Sengunthar Engineering College Erode India Assistant Professor Department of Computer Science and Engineering Bannariamman Institute of Technology Sathyamangalam India Student Department of Computer Technology-PG Kongu Engineering College Perundurai Erode India

The extraordinary episode of the 2019 novel Corona-virus named as COVID-19 by the World Health Organization (WHO) has put various governments around the globe in a shaky position. The shortage of health care facilities to bear the COVID-19 has forced the countries to go with the hand of complete or partial lock down. According to the World Health Organization (WHO) report 32.6 million cases has been recorded as on 26 September 2020. Corona-virus have its major influence on consumer buying behaviour which is going to change the consumers' future hopping habits. This article highlights the change in consumer behaviour from physical store to online shopping. The present study was conducted during the month of July- August 2020, where questionnaires' are formed and data collected using Google forms. Analysis of the data is made through Simple percentage method, ANOVA test, Chi square test and ranking method. After analysis it found that the majority holding 21-30 age group of customers prefer shopping while free shipping and their cart behaviour is also analysed for the same.

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Churn Prediction in Telecom sector using Deep Neural Network with Flask Application

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IOP Conference Series: Materials science and engineering 2021年第1期1166卷

作者： J.K. Kiruthika B.S. Neshamoney L. Madhan Kumar V. Mugunthan Assistant Professor KPR Institute of Engineering and Technology Coimbatore India Department of computer Science KPR Institute of Engineering and Technology Coimbatore India

Agitate Analysis is one of the overall utilized examination on Subscription Oriented Industries to break down client practices to anticipate the clients which are going to leave the help understanding from an organization. It depends on Deep Learning techniques and calculations and become so significant for organizations in the present business conditions as acquiring another client's expense is more than holding the current ones. The paper audits the significant examinations on Customer Churn Analysis on Telecommunication Industry in writing to introduce general data to perusers about the regularly utilized information mining techniques utilized, results and execution of the strategies and revealing an insight to additional studies. To stay up with the latest, contemplates distributed in most recent five years and basically most recent two years have been incorporated.

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Analysis of hiring a freelance coder website

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AIP Conference Proceedings 2021年第1期2387卷 140039页

作者： C. Jamunadevi Malathi Eswaran B. Renukadevi S. Priya B. Varniha Assistant Professor (SrG) Department of Computer Technology-PG Kongu Engineering College Perundurai Erode Tamil Nadu India Assistant Professor Department of Computer Technology-PG Kongu Engineering College Perundurai Erode Tamil Nadu India Assistant Professor Department of Information Technology Sri Sai Ram Engineering College Chennai Tamil Nadu India Assistant Professor Department of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram Chennai Tamil Nadu India Student Department of Computer Technology-PG Perundurai Kongu Engineering College Erode Tamil Nadu India

The 2019 novel Corona-virus infection spreads very quickly all over the world, many employers have decided to secure themselves as freelancers and to shift to remote work. The current system offers project outsourcing in a manual work. Hiring a Freelance Coder is designed to develop an interface for the organization and the freelancing professionals using responsive web design. This article highlights the project outsourcing through virtual environment there is no need of real physical meet up. The working flow of this website, The Company posts its project requirement to this application by the given category. The freelancer can search and view any project posted on this application and the freelancer can bid the project to outsource from the company. The entire bid details can be verified by the company and can approve the bid. The company can monitor the work status given by the freelancer and ask queries. The internship candidate can view the internship list and they can apply and send a resume. The present study was conducted during the month of December 2020, where questionnaires are formed and data collected using Google forms. Analysis of the data is made through Simple percentage method, Chi square test and ranking method. After analysis it found that the majority holding 31-40 age group of freelancers prefer online freelancing.

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Smart public transportation: A future framework for sustainable new cities (Case study Greater Cairo)

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IOP Conference Series: Earth and Environmental science 2022年第1期992卷

作者： Hayam M Omayer Assistant Professor Architecture Department Cairo Higher Institute for Engineering Computer Science and Management No.2 Banafseg Center2 first Settlement Cairo Postcode 11477 Egypt.

In the context of the tremendous progress in information technology in all spheres of life, it is necessary to adopt more intelligence solutions to increase the quality of life and achieve sustainable cities. Currently, without a doubt, we have the ability to make all city services accessible to everybody. Transportation and mobility systems are critical components of sustainable city development. Therefore, the scientific literature on the technological systems employed in transportation systems and their primary uses is extensive, outlining their application to improving people's quality of life through promoting a sustainable environment. Recently. There is a new generation of ITS (intelligence transportation system) resulting from the encouragement of related public policy that has been deeply integrated with new infrastructure and new technologies for improving the quality of life. The new generation of ITS technology and urban analysis and planning technology can not only meet the current problems of the coordinated development of the public transportation system and big cities like Cairo, but also meet the needs of the city's future development in advance. This paper will discuss the transformation of intelligent public transportation, the opportunities, and applications, using technologies, and implementation in various urban areas using a case study of China's smart transportation. Additionally, propose a future framework for sustainable transportation in new cities and the feasibility of implementing them in Egypt's new cities. Highlight the actions and outcomes of integrating technologies, as well as their environmental, urban, economic, and social impacts. In order to develop and increase the quality of life in the cities of Egypt and the developing world in order to achieve sustainability goals.

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Terrain identification and land price estimation using deep learning

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AIP Conference Proceedings 2021年第1期2387卷

作者： K. Kousalya B. Krishnakumar A. S. Aswath P. S. Gowtham S. R. Vishal 1Professor Department of Computer Science and Engineering Kongu Engineering College Tamil Nadu 638060 India 2Assistant Professor Department of Computer Science and Engineering Kongu Engineering College Tamil Nadu 638060 India 3UG Scholar Department of Computer Science and Engineering Kongu Engineering College Tamil Nadu 638060 India

The real estate market is becoming one of the most competitive in terms of pricing and same tends to vary significantly based on various factors. This paper focuses on identifying the type of land and estimating the price using convolutional neural network. Deep learning algorithms exhibit marvelous performance over conventional machine learning algorithms identifying the complex patterns. In this paper two Convolutional Neural Network (CNN) models are used. One is self-proposed model and another is ResNet152V2 model. Models are trained using aerial land image dataset. The ResNet152V2model showed high accuracy compared to the self proposed model. This system helps the land owner to acquire some basic essential details about the land.

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Real time Machine Learning Approach for a Smart Door Unlocking Using Face recognition System

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IOP Conference Series: Materials science and engineering 2021年第1期1130卷

作者： P Rayavel A Sivakumar P V Gopirajan S Surenderanath P Rathnavel Assistant Professor Department of Computer Science and Engineering Sri Sai Ram Institute of Technology Chennai-600044 Tamilnadu India Assistant Professor Department of Information Technology Sri Sairam Engineering College Chennai-600044 Tamilnadu India Assistant Profesor Department of Computer Science and Engineering Saveetha Engineering College Chennai-602105 Tamilnadu India Assistant Professor Department of Electrical and Electronics Engioneering Sri Sai Ram Institute of Technology Chennai-600044 Tamilnadu India

This proposed framework goes about as a home security framework for both Person location and gives security to entryway access control by utilizing facial acknowledgment for the home climate. The more peculiar's face is distinguished inside a home climate accomplished by catching a picture from a web camera and handling will be done on caught pictures. The web camera catches the arrangement of pictures when the individual comes before the entryway. The caught picture is analyzed utilizing our face acknowledgment calculation model. In the event that the individual is the approved one, at that point the entryway is opened. Then again, if the individual isn't the approved one. The picture of the individual is shipped off the power in the event that he perceives the individual and wants to open the entryway. He can distantly get to the entryway and permit the individual in.

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Performance analysis on automating the PDF download process using Robotics Process Automation

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IOP Conference Series: Materials science and engineering 2021年第1期1059卷

作者： T Malathi P L Navaneethakrishnan E Arun V N Devakipriyadharshini Assistant Professor Department of Computer Science and Engineering Bannari Amman Institute of Technology Sathyamangalam Tamil Nadu India.

Many people download one or two files from the internet and it does not take ' much time to download them. What if there is a need for more number of files. For that problem RPA could be the solution. Robotic process automation (or RPA) is a form of business process automation technology based on metaphorical software robots (bots) or on artificial intelligence (AI)/digital workers. The main objective of this paper is to download 100 random pdf files from the internet using excel, csv and datatable automations in Uipath and compare them with the manual way of downloading and finding the most efficient way of downloading the large number of files.

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Critical Comparative Study of Robot Path Planning in Grid-Based Environment

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Journal of Physics: Conference Series 2021年第1期1804卷

作者： R D Dhaniya K M Umamaheswari Research Scholar School of Computing Department of Computer science and Engineering SRM Institute of Science and Technology Kattankulathur-603203 Assistant Professor School of Computing Department of Computer science and Engineering SRM Institute of Science and Technology Kattankulathur-603203

The path planning problem under two-dimensional maps is a fundamental issue in mobile robotics and other applications (unmanned vehicles, and so forth). The traditional algorithms (graph searching, artificial potential field and so forth) are used to find the shortest path that rely on grid-by-grid searching. The main disadvantage of the traditional methods is robot size is not considered and has much redundant in sharp curves which is difficult to guide a robot movement. In this paper, we compared the five baseline approaches of heuristic methods to find the optimal path which reduces the number of turns and time costs to attain a target. The experimental analysis shows that the second-order x derivative has an advantage over other baseline approaches that the search time and the number of turns are reduced.

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Secure IoT via Blockchain

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IOP Conference Series: Materials science and engineering 2021年第1期1022卷

作者： Ruchi Garg Poonam Gupta Amandeep Kaur Assistant Professor Electronics and Communication Engineering Department M.M.(Deemed to be University) Mullana Ambala Haryana India Assistant Professor Computer Science and Engineering Department M.M.(Deemed to be University) Mullana Ambala Haryana India Associate Professor Computer Science and Engineering Department M.M. University Sadopur Ambala Haryana. India

Block chain technology had gained popularity because of its use in crypto-currencies like bitcoin. Today uses of blockchain are growing in number of areas like banking, industries, health centers and even security of IOT. Moreover, the use of IOT is growing exponentially every year with its aim in 5G technologies like e- health, smart homes, distributed intelligence etc. but it faces challenges in security and privacy. The privacy of a user data is at a risk because of its (i.e. IoT) centralized client-server model. This centralized approach of the server poses a serious vulnerability to the data security. This data at the server attracts the attackers to enter into the network and invade through the data and schedule attacks or inject a malware. It indicates that the central architecture of IoT possess a compromised confidentiality, integrity, and security of data which disrupts its use as the widespread adoption of this technology. Therefore, it is essential to evade the hostile centralized server architecture for IoT to enhance its security. It implies a need for decentralized architecture to maintain the data. The data can be kept at the different users without any central control with the help of blocks as suggested by Blockchain. This paper addresses the various security issues in IOT and how block chain helps in solving these issues.

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Soft Computing Techniques for Clustering in WSN

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IOP Conference Series: Materials science and engineering 2021年第1期1022卷

作者： Amandeep Kaur Poonam Gupta Ruchi Garg Associate Professor Computer Science and Engineering Department M.M. University Sadopur Ambala Haryana India Assistant Professor Computer Science and Engineering Department M.M. (Deemed to be) University Mullana Ambala Haryana India Assistant Professor Electronics and Communication Engineering Department M.M. (Deemed to be) University Mullana Ambala Haryana India

The large Wireless Senor Networks (WSNs) comprises Sensor Nodes (SN) in some hundreds with sensing and communication capabilities. Major limitation of WSN is limited energy source of SN. Clustering is one of energy efficient method for energy conservation in WSNs. Clustering is the process to distribute SN in various logical groups known as cluster. Each cluster bears a Cluster Head (CH), who is responsible for transmitting aggregated data of its cluster to Base Station (BS). The literature is enriched by various clustering protocols proposed with the assistance of soft computing. This paper, presents the survey of soft computing paradigm-based clustering protocols.

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