PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021最新文献

{"title":"Area efficient multiplier using NANO CMOS logic style","authors":"S. Sasikala, S. Gomathi, M. Chitra, S. Nandhini","doi":"10.1063/5.0068616","DOIUrl":"https://doi.org/10.1063/5.0068616","url":null,"abstract":"","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131667499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation on deep learning for handwritten English character recognition","authors":"R. Mohana, K. Kousalya, N. Sasipriyaa, B. Krishnakumar, S. Gayathri","doi":"10.1063/5.0068646","DOIUrl":"https://doi.org/10.1063/5.0068646","url":null,"abstract":"","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130292252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Food safety and quality assurance along a value chain-perspectives towards developing country","authors":"R. Dhivya, P. Karthikeyan, P. Karthika","doi":"10.1063/5.0070584","DOIUrl":"https://doi.org/10.1063/5.0070584","url":null,"abstract":"","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121085532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studies on the formulation of cake using green banana flour","authors":"N. Bharathi, P. Dasgupta, C. Venkatachalam","doi":"10.1063/5.0070452","DOIUrl":"https://doi.org/10.1063/5.0070452","url":null,"abstract":"","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130758930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forecasting the spread of COVID-19 using supervised machine learning models","authors":"G. Kamalam, K. Lalitha, E. Priyadarshini, V. Janani, P. M. Sasidhar","doi":"10.1063/5.0070366","DOIUrl":"https://doi.org/10.1063/5.0070366","url":null,"abstract":"Coronavirus disease of 2019 (COVID-19) has become widespread within few months and it has lead to a dramatic loss for human life worldwide. This pandemic impacts tens of millions of deaths each day and the number of people were dead by covid-19 is gradually increasing throughout the globe. During this pandemic situation control, we tend to propose a future prediction using Machine Learning algorithms on the death rate, the number of recovered estimates and the number of daily confirmed COVID-19 cases reported within the next ten days. It is based on Machine Learning technique. This forecasting method will predict the upcoming number of COVID-19 cases. Here we use four standard models for forecasting includes linear Regression (LR), The Lowest Absolute and Selective Shrinking Operator (LASSO), Vector Assistance (SVM) and exponential smoothing (ES) will predict the number of COVID-19 cases in future. These four models make three predictions: the mortality rates, the number of newly affected COVID-19 cases and the cummulative number of recovered cases in the next 10 days. These methods are better used in the COVID-19 situation. Based upon the findings, it is a encouraging method to use these standard models in the current situation of COVID-19 spread. The analysis shows that among all the standard forecasting models, ES model performs best, then LR and LASSO which also performs well in predicting the new infected cases of corona, death rate and recovery cases. Whereas the results of SVM were very bad in all the prediction scenarios from the given covid-19 data set. The predictions made by these models relating to the current situation are accurate and will also be useful for future awareness of the future situation. This paper will be enhanced continuously and next we are planning to traverse the prediction methodology using the updated covid-19 data set and we will make use of the most precise and best Machine Learning models for forecasting in future. © 2021 American Institute of Physics Inc.. All rights reserved.","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128912823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Covid-19 pandemic: Share price volatility behaviour of selected food processing companies in NSE","authors":"Monika N., P. Priya, P. Sundharesalingam, M. Mohanasundari","doi":"10.1063/5.0068593","DOIUrl":"https://doi.org/10.1063/5.0068593","url":null,"abstract":"The Indian financial market and global markets experienced volatility due to pandemic. Estimations of volatility helps to measure the performance of the share price of the company. This paper studies about the impact of pandemic on the food processing companies listed in NSE. The objective of the paper is to examine the level of volatility prevailing in the selected food processing companies share returns. The daily returns of the companies are collected from January 1, 2019 to November 27, 2020.the returns of the selected period is considered for this purpose. GARCH model is used to capture the volatility of the returns. Findings reveal that the high volatility is experienced during the Covid period observations. While comparing the returns of the stock, the returns are positive during the Covid period than the Pre-Covid period. Thus reflecting the bounce back from the unprecedented Covid shocks in the market. © 2021 American Institute of Physics Inc.. All rights reserved.","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122497924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance enhancement and reduction of exhaust emissions in catalytic converter using the metallic oxide catalysts","authors":"A. S. Sajitha, N. Bharath, G. L. Megavel, B. Gowtham","doi":"10.1063/5.0069085","DOIUrl":"https://doi.org/10.1063/5.0069085","url":null,"abstract":"","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117020473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remotely piloted aerial system in fire fighting","authors":"T. Logeswaran, K. Kamaleeshwaran, V. Karthikeyan, S. Kaviyarasu, T. Prakash","doi":"10.1063/5.0068767","DOIUrl":"https://doi.org/10.1063/5.0068767","url":null,"abstract":"","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133280144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A study on influencing factors towards online food delivery services","authors":"M. Mohanasundari, S. Vetrivel, L. Kaviya","doi":"10.1063/5.0068607","DOIUrl":"https://doi.org/10.1063/5.0068607","url":null,"abstract":"","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130485098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of implementation of 5S tool in food industry during COVID 19","authors":"R. Somasundaram, P. Sundharesalingam, P. Priya, P. Renuka","doi":"10.1063/5.0068589","DOIUrl":"https://doi.org/10.1063/5.0068589","url":null,"abstract":"5S housekeeping is the basics of Lean Manufacturing systems. As a tool for cleansing, sorting, organizing and providing the required basic initial changes for workplace improvement. This paper studies the effectiveness of implementation of 5S methodology in the Angel starch and food Pvt ltd. By following the 5S methodology, it shows important improvements to safety, productivity, efficiency and housekeeping. It also intends to create a stronger work ethic inside the management and staff who would be expected to continue the great practices. To identify the potential level of quality improvement and at the same time will analyse their ability and weakness of every division within the company. Effectiveness of 5S is analysed using before and after implementation in Angel starch and food Pvt ltd using tools. Tools like inventory turnover ratio, labour productivity, process rejection etc… has been used for measurement of daily production, sales, customer return, process rejection, machine breakdown. Result of this research is obtained from comparative measurement of before and after organisational performance. The result shows that 5S is a effective tool for improvement of organisation performance. © 2021 American Institute of Physics Inc.. All rights reserved.","PeriodicalId":184161,"journal":{"name":"PROCEEDINGS OF THE 4TH NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES E-CONCEPT-2021","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124039339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}