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Analyzing ELearning platform reviews using Sentimental Evaluation with SVM Classifier

Journal of Physics: Conference Series 2021年第1期1767卷

作者： R Muralidharan T Kanagasabapathy R P Vijai Ganesh Assistant Professor Department of Computer Science and Engineering Dr. Mahalingam College of Engineering and Technology Coimbatore India

In today's scenario, the participation of eLearning courses is rapidly increasing among users, especially during post-pandemic situation. Due to a hike in the need of eLearning, there is a sharp increase in emerging of online courses. Not only the academic people (students and teachers), but others also interested in the online courses, irrespective of their ages. Since numerous eLearning platforms are mushrooming, it is mandatory to follow various standard techniques to evaluate the quality of these courses. It would be more adaptable, if the evaluation techniques are made based on the Course users feedback. These feedback of the users contain more valuable information which helps in constructive decision making. The satisfactions and criticisms of the courses are shared through opinion of the registered user. Due to enormous amount of web reviews available for a course, it is extremely time-consuming and difficult to manually analyze the review and come to a conclusive decision. Reviews contain course feature specific factual information along with the opinion statements which may be positive or negative. The text reviews obtained from most of the webpages of the online courses feedback or comments section, are found to be unstructured and inconclusive. Analyzing and extracting the actual opinion throughout the reviews manually is very difficult. So, an automated technique is needed to evaluate the course based on the features of the courses, which results in attaining a decision. The Aspect based opinion mining is such a methodology which describes the important aspects of each opinion and classify them on their polarity.

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Sustainable Intelligent Prediction and Price Recommendation System

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Journal of Physics: Conference Series 2021年第1期1916卷

作者： G Poorani S Mohammed Rishwan R Pavan Kumar M Ragul Assistant Professor Department of Computer Science Sri Krishna College of Technology Coimbatore Tamil Nadu India. Student Department of Computer Science Sri Krishna College of Technology Coimbatore Tamil Nadu India.

Online brief time frame period condominium stages, comprising of Airbnb, had been transforming into mainstream, and a higher evaluating technique is indispensable for hosts of most recent postings. In this paper, the association is broken down among the portrayal of each rundown and its charge, and proposed a content essentially based absolutely charge counsel gadget alluded to as TAPE to suggest a moderate charge for recently brought postings. The deep knowledge utilized makes them more familiar with strategies (for example, feed-forward networks, longer short-term memory, and recommended moves) to design and put in an influential TAPE. By using a data set of 4 indistinguishable urban areas that were deleted sequentially, it was found that basic elements (such as small indoor objects and high-thickness areas) would undoubtedly have an adverse effect on the charges of each property, and evaluated that it is basic and more attractive style of. Our style is completed with 33.73 in Boston, 20.50 in London, 34.68 in Los Angeles and 26.31 in New York. This is related to the use of other current forms of highlighting.

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Truth discovery in healthcare prediction using machine learning

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Journal of Physics: Conference Series 2021年第1期1916卷

作者： G Priyanka M Mahalakshmi G Nivedha J Roshini Assistant Professor Department of Computer Science Sri Krishna College of Technology Coimbatore Tamil Nadu India. Student Department of Computer Science Sri Krishna College of Technology Coimbatore Tamil Nadu India.

Healthcare is one of the core areas of the medical field in today's digital world. By analyzing large amounts of patient data, healthcare systems are needed to gain insights and help disease prediction. The truth discovery of the Health Recommendation System (TDHRS) is becoming an important platform for medical services. The proposed use of Boltzmann Machine (RBM)-FP-Growth Health Pattern Recognition (RBMG) smart HRS can provide insights into how big data analysis can be used to implement an effective health recommendation engine, and will be used in Transition from a standard solution to a more personalized paradigm in the telemedicine environment. By considering the Root Mean Square Error (RSME) and Mean Absolute Error (MAE) values, the proposed deep learning method (RBM-FP-Growth) exhibits fewer errors than other methods.

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Applications of Flying Ad-hoc Network During COVID-19 Pandemic

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IOP Conference Series: Materials science and Engineering 2021年第1期1099卷

作者： Manisha Devi Sunil Kumar Maakar Deepak Sinwar Mahesh Jangid Poonam Sangwan Scholar Department of Computer Science and Engineering BRCM College of Engineering and Technology Bahal Haryana India Assistant Professor Department of Computer Science and Engineering BRCM College of Engineering and Technology Bahal Haryana India Assistant Professor Department of Computer and Communication Engineering Manipal University Jaipur Dehmi Kalan Jaipur Rajasthan India Associate Professor Department of Computer Science and Engineering Manipal University Jaipur Dehmi Kalan Jaipur Rajasthan India Assistant Professor Department of Chemistry Government College Hisar Haryana India

The 2019 novel coronavirus (2019-nCoV), with a beginning stage in Wuhan (China), has spread quickly among people living in different nations and has affected more than 6 million lives. Researchers around the globe are trying to device a solution in the form of the vaccine but unfortunately, till date, there is no full-proof vaccine for 2019-nCoV. Most of the countries are adopting prolonged lockdown and social distancing strategies to counter this pandemic. Flying Ad-hoc Network (FANET) on the other hand, can provide several services such as the delivery of essential items, disinfecting common areas, surveillance, traffic monitoring, communication, temperature monitoring, etc. Availing such services using FANETs during Corona Virus Disease (COVID-19) outbreak is like a boon that can minimize the general problems of mankind to some extent during lockdowns. Nowadays, it is foremost required to deploy solutions that can automate the process of availing several services using FANETs and the same is attracting researchers in great demand. This paper has presented a brief survey of several applications of FANETs (especially UAVs and Drones) that can facilitate mankind in coping with the general problems during COVDI-19 outbreak and subsequent lockdowns. We hope that this survey has covered most of the applications of UAVs and can provide new insights into the research community.

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Collision avoidance for a multi copter using ultrasonic sensor embedded with Arduino Uno

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AIP Conference Proceedings 2023年第1期2855卷

作者： N. C. Ajay Vishwath Ashish Prajapati Tanishka Mourya Lokesha Gangadharani Assistant Professor Department of Aeronautical Engineering Parul Institute of Engineering and Technology Parul University Vadodara India. UG Student Department of Aeronautical Engineering Parul Institute of Engineering and Technology Parul University Vadodara India. UG Student Department of Computer Science Engineering Parul Institute of Engineering and Technology Parul University Vadodara India.

This research work focuses on the Collision Avoidance for a Quadcopter or a Hexacopter using Ultrasonic sensor Embedded with Arduino Uno. The work starts from the definition of Quadcopter and Hexacopter flight controls proceeds to the flight control’s response while encountering an Obstacle. The work further carried to avoid the same. The research idea is about using the ultrasonic sensor being embedded with arduino board for any kind of obstacle detection. This research work has been carried out keeping in mind the principle that ultrasonic sensor sends and receive signal to measure distance. So the positioning of sensor explained in this paper adds a weight age to this research work. Sensors in Quadcopter are used to detect any obstacle during the flying mode to avoid collision.

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

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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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IOT Based Tool Garbage Management System

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Journal of Physics: Conference Series 2021年第1期1916卷

作者： S Sathyabama A Bharath Raaj S S Cibi Saamraat T Girimurugan Assistant Professor Department of Computer Science and Engineering Sri Krishna College of Technology Coimbatore Tamil Nadu India UG Students Department of Computer Science and Engineering Sri Krishna College of Technology Coimbatore Tamil Nadu India

These days, safe and hygiene disposal of waste via dustbins in smart cities needs a centralized and monitored system. This system monitors various bins used for rubbish and garbage collectionextent is also informed inside these garbage bins via centralized online Application. For this the system the bins are fitted specially placed ultrasonic sensors to determine the level and depth of rubbish. It incorporates an AVR based microcontroller, GSM Module, Wi-Fi modem, a buzzer for alert and LCD screen for viewing data. The voltage support is given by a 12V transformer. To determine the display status and the extent to which the rubbish bin is loaded an LCD screen is used. These LCD screens are used inside the rubbish bins. To point out the condition however the web application is designed which is used to monitor the garbage or rubbish bins. The geographical view of rubbish bins can be obtained by the web page and also these web pages indicate the colored rubbish that they can highlight

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Secured Communication in Vehicular Adhoc Networks (VANETs) using Blockchain

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

作者： Shivaprasad More Rahul Sonkamble Udaykumar Naik Shraddha Phansalkar Priyanka More Baljit Singh Saini Assistant Professor Department of Computer Science and Engineering Sanjay Ghodawat University Kolhapur Maharashtra India Professor Department of Electronics & Communication KLE Dr. M.S. Sheshgiri College of Engineering & Technology Belagavi Karnataka India Professor Symbiosis Institute of Technology Lavale Pune Research Scholar School of Computer Science and Engineering Lovely Professional University Punjab Professor School of Computer Science and Engineering Lovely Professional University Punjab

In the last decade, the vehicular ad-hoc network (VANET) field is growing drastically. In VANET the communication is the most important aspect through which the data transmission is taking place. Data transmission is maybe related to data in the form of multimedia messages, notifications, announcements, or some warning messages that are involved in VANETs. Data transmission among different vehicles would lead to an exchange of audio-video files in the formed network. These multimedia messages should be transmitted in the fraction of second as this network is built for temporary communication. Vehicles involved in this communication should be trustworthy otherwise other vehicles those who are part of this network would be misguided due to intruder present in the network. To achieve security and integrity in the constituted network, system has proposed the blockchain security environment as a part of this proposed system. Blockchain induces high-end communication in the ad-hoc network. It also enhances the overall security aspect of the constituted network. In this paper, we have proposed blockchain-based security system for vehicular communication that handles this communication securely in a well efficient manner. The performance of the proposed system will be measured based on parameters like end-to-end delay, reliability, and packet delivery ratio.

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Full Fledged Automated Human Resource Management Software Suite

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Journal of Physics: Conference Series 2021年第1期1916卷

作者： M Sri Sivasankaran T Suganya UG Student Department of Computer Science and Engineering Sri Krishna College of Technology Coimbatore Tamilnadu India. Assistant Professor Department of Computer Science and Engineering Sri Krishna College of Technology Coimbatore Tamilnadu India.

The Human Resource Management System is essentially worried about dealing with the Administrator of HUMAN RESOURCE Department in an organization. A Human Resource Management System alludes to the frameworks and cycles at the crossing point between human asset the executives and data innovation. It blends HRM as an order and specifically its essential HR exercises and cycles with the data innovation field, though the programming of information preparing frameworks developed into full-fledged HR SUITE. The fundamental target of this paper is to diminish the exertion of Administrator to keep the day-by-day occasions, for example, participation, projects, works, arrangements, and so forth This paper manages the way toward distinguishing the representatives, recording their participation hourly and ascertaining their successful payable hours or days. This paper FULL fledged HR management suite ought to keep up the records of every single worker and their time spend in to organization, which can be utilized for execution evaluation. In view of that move, expulsion, advancement should be possible.

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