Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314505
Arumugam J
. Scientometric dimensions have been applied to present a qualitative and quantitative analysis of publications of government aided technical education institutions of Tamilnadu. Data for the study have been collected from Scopus database for the period of 2000-2019.This paper highlights the scientific parameters such as year wise growth pattern, Authorship pattern, most prolific authors with impactful sources, institution affiliations, collaborative countries, citation at national and international level. This paper also analyzes the highly cited papers of the authors and institutional source impact. There is an increasing trend in the publications for the last ten years since the government has come up with various initiates of measuring the research productivity and its impact in the education and scientific environment.. The present study was conducted to examine the research productivity of the faculty members of Government aided Technical higher education institutions of Tamilnadu for the period of 2000-2019. To examine the evolution and growth metrics of research output of selected in Tamilnadu To explore author-metrics of research output of selected Government aided technical Tamilnadu To explore the geo-metrics of research output of selected Government aided technical HEIs in Tamilnadu To explore the source and institutional metrics of research output of selected Government aided technical HEIs in Tamilnadu
{"title":"Research Productivity of Government Aided Technical Education Institutions of Tamilnadu: A Scientometric Dimension","authors":"Arumugam J","doi":"10.4108/eai.7-12-2021.2314505","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314505","url":null,"abstract":". Scientometric dimensions have been applied to present a qualitative and quantitative analysis of publications of government aided technical education institutions of Tamilnadu. Data for the study have been collected from Scopus database for the period of 2000-2019.This paper highlights the scientific parameters such as year wise growth pattern, Authorship pattern, most prolific authors with impactful sources, institution affiliations, collaborative countries, citation at national and international level. This paper also analyzes the highly cited papers of the authors and institutional source impact. There is an increasing trend in the publications for the last ten years since the government has come up with various initiates of measuring the research productivity and its impact in the education and scientific environment.. The present study was conducted to examine the research productivity of the faculty members of Government aided Technical higher education institutions of Tamilnadu for the period of 2000-2019. To examine the evolution and growth metrics of research output of selected in Tamilnadu To explore author-metrics of research output of selected Government aided technical Tamilnadu To explore the geo-metrics of research output of selected Government aided technical HEIs in Tamilnadu To explore the source and institutional metrics of research output of selected Government aided technical HEIs in Tamilnadu","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83284192","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314509
S. G, M. R, Saratha S R
. The Laplace Homotopy Analysis Method Via Modified Riemann-Liouville Integral has been explored from a new perspective. The important items are assimilated, and the result is proven using well-defined evidence. A combination of the homotopy analysis approach and the suggested integral transform is used to find fractional differential equations
{"title":"Solving lorenz system of equation by Laplace homotopy analysis method","authors":"S. G, M. R, Saratha S R","doi":"10.4108/eai.7-12-2021.2314509","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314509","url":null,"abstract":". The Laplace Homotopy Analysis Method Via Modified Riemann-Liouville Integral has been explored from a new perspective. The important items are assimilated, and the result is proven using well-defined evidence. A combination of the homotopy analysis approach and the suggested integral transform is used to find fractional differential equations","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83419882","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314495
Ameer Rasel V.B, U. A., Kalpana P
{"title":"Design of Window based FIR filter for Electrocardiogram Noise Removal","authors":"Ameer Rasel V.B, U. A., Kalpana P","doi":"10.4108/eai.7-12-2021.2314495","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314495","url":null,"abstract":"","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89620775","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314707
Akshaya Priyah, V. C.
{"title":"Comparative Analysis of Various Adsorbents used for Bioremediation of Copper from the Aqueous Environment","authors":"Akshaya Priyah, V. C.","doi":"10.4108/eai.7-12-2021.2314707","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314707","url":null,"abstract":"","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89357447","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314516
R. R, V. R, M. B
Coordinate Measuring Machine (CMM) is a universally accepted instrument that is widely used for inspection in industries and laboratories. Evaluation of uncertainty in dimensional measurement is very important for any measurement process. The components and the parts of the mechanical systems must have the accurate dimensions to meet the functional requirements. The environmental conditions and measurement methodhighly influence the accuracy of measurement process.This paper focuses on estimating the uncertaintyin angle measurementscarried out using CMM. In this study, anglegauge blocks are used as the reference materials for assessing the uncertainty in measurement using a CMM. An uncertainty estimation is carried out according to the guide to the expression of uncertainty in measurement (GUM). The influence of position accuracy, environment temperature, vibration, measurement and probing strategies are analysed and uncertainty in angle measurement is estimated as 40 arc seconds.
{"title":"Evaluation of Uncertainty in Angle Measurement performed on a Coordinate Measuring Machine","authors":"R. R, V. R, M. B","doi":"10.4108/eai.7-12-2021.2314516","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314516","url":null,"abstract":"Coordinate Measuring Machine (CMM) is a universally accepted instrument that is widely used for inspection in industries and laboratories. Evaluation of uncertainty in dimensional measurement is very important for any measurement process. The components and the parts of the mechanical systems must have the accurate dimensions to meet the functional requirements. The environmental conditions and measurement methodhighly influence the accuracy of measurement process.This paper focuses on estimating the uncertaintyin angle measurementscarried out using CMM. In this study, anglegauge blocks are used as the reference materials for assessing the uncertainty in measurement using a CMM. An uncertainty estimation is carried out according to the guide to the expression of uncertainty in measurement (GUM). The influence of position accuracy, environment temperature, vibration, measurement and probing strategies are analysed and uncertainty in angle measurement is estimated as 40 arc seconds.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86753573","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314764
T. R
. COVID has become the accelerator for the workplace transformations of lifetime. Hiring talented candidates is crucial job to a company’s success. The recruitment of employees is a challenging task. Even during recession, it is tough to fill certain style of jobs, the recruiters should make it crucial to take decisions, along with where to target and what content to deliver and how to group the workers for recruitment process. The research paper focuses on targeted recruitment in the pandemic times and the role of recruitment analytics and metrics. Predictive analytics in recruitment helps to reduce the time and cost of recruitment and also locate competences quicker. Streamline the extensive candidate database from facts and get a head begin on filling the skill pools with recruitment information analytics.When there is greaterposition for analytics,for recruitment will become vital in measuring KPIs. The paper concludes by stressing the need and role of recruitment analytics and metrics in enhancing the process of targeted recruitment, as the future is going to be, even more tech savvy. In the current situation, there arises a great need to align all the recruitment activities from strategy formulation to identifying, acquiring, developing, engaging and retaining the best talent to match with the new norm of work.
{"title":"The Role of Recruitment Analytics and Metrics in Targeted Recruitment Post Pandemic","authors":"T. R","doi":"10.4108/eai.7-12-2021.2314764","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314764","url":null,"abstract":". COVID has become the accelerator for the workplace transformations of lifetime. Hiring talented candidates is crucial job to a company’s success. The recruitment of employees is a challenging task. Even during recession, it is tough to fill certain style of jobs, the recruiters should make it crucial to take decisions, along with where to target and what content to deliver and how to group the workers for recruitment process. The research paper focuses on targeted recruitment in the pandemic times and the role of recruitment analytics and metrics. Predictive analytics in recruitment helps to reduce the time and cost of recruitment and also locate competences quicker. Streamline the extensive candidate database from facts and get a head begin on filling the skill pools with recruitment information analytics.When there is greaterposition for analytics,for recruitment will become vital in measuring KPIs. The paper concludes by stressing the need and role of recruitment analytics and metrics in enhancing the process of targeted recruitment, as the future is going to be, even more tech savvy. In the current situation, there arises a great need to align all the recruitment activities from strategy formulation to identifying, acquiring, developing, engaging and retaining the best talent to match with the new norm of work.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89487100","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314506
Regis Anne W, CarolinJeeva S
. Phishing is a method of social engineering technique to deceive web users to capture sensitive information like user name and password in websites without the knowledge of the end user. The end user provides information about their personal and financial thinking it’s the authenticated service provider. URL meaning the "Uniform Resource Locator" that identifies an address to a file in the server. The URLs can be categorized as benign or malicious. Malicious URLs are created for the purpose of attacking to create loss and poses great threat to the victims. Machine Learning approaches offer a wide range of algorithms to detect malicious websites. It considers the URL as a set of features of Lexical, Host based and Content features to train a model to classify it as malicious or benign. Boosting is a collection of algorithms that combine the weaklearning classifiers to build strong Classifiers. In this paper boosting algorithms are exploited to the study of URL detection as malicious or benign. Boosting algorithms such as LGBM, XGBoost and Gradient Boosting are used for predicting phishing URL is presented. Feature selection to identify the important features is performed. The selected features are then classified by Random Forest Classifier to give an accuracy of 99%.
{"title":"Performance Analysis of Boosting Techniques for Classificationand Detection of Malicious Websites","authors":"Regis Anne W, CarolinJeeva S","doi":"10.4108/eai.7-12-2021.2314506","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314506","url":null,"abstract":". Phishing is a method of social engineering technique to deceive web users to capture sensitive information like user name and password in websites without the knowledge of the end user. The end user provides information about their personal and financial thinking it’s the authenticated service provider. URL meaning the \"Uniform Resource Locator\" that identifies an address to a file in the server. The URLs can be categorized as benign or malicious. Malicious URLs are created for the purpose of attacking to create loss and poses great threat to the victims. Machine Learning approaches offer a wide range of algorithms to detect malicious websites. It considers the URL as a set of features of Lexical, Host based and Content features to train a model to classify it as malicious or benign. Boosting is a collection of algorithms that combine the weaklearning classifiers to build strong Classifiers. In this paper boosting algorithms are exploited to the study of URL detection as malicious or benign. Boosting algorithms such as LGBM, XGBoost and Gradient Boosting are used for predicting phishing URL is presented. Feature selection to identify the important features is performed. The selected features are then classified by Random Forest Classifier to give an accuracy of 99%.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83948936","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2315103
P. Rani, Balasubramanian Ayshwariya, Saravanakumar Vinodh
{"title":"RAGE - A Versatile Drug Target for Alzheimer’s Disease","authors":"P. Rani, Balasubramanian Ayshwariya, Saravanakumar Vinodh","doi":"10.4108/eai.7-12-2021.2315103","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2315103","url":null,"abstract":"","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88237235","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314765
K. D, Vyshally A
. The Individuals make investments to achieve their financial objectives. The availability of several traditional and new investment avenues in the current context provides a wide range of options at all risk levels. Traditionally it has been considered that the investment preferences, objectives and factors influencing investment vary between the salaried and the self-employed. This study was undertaken to understand if there are differences between the two categories of respondents. The study was conducted in Coimbatore District, India with 410 respondents. The study found that fixed deposits were the preferred investment option whereas high-risk avenues such as crypto and derivatives were the least preferred. The study also found that the two respondent groups differ significantly in their investments.
{"title":"Salaried Vs. Self-Employed: A Study On The Factors Influencing Investment Patterns","authors":"K. D, Vyshally A","doi":"10.4108/eai.7-12-2021.2314765","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314765","url":null,"abstract":". The Individuals make investments to achieve their financial objectives. The availability of several traditional and new investment avenues in the current context provides a wide range of options at all risk levels. Traditionally it has been considered that the investment preferences, objectives and factors influencing investment vary between the salaried and the self-employed. This study was undertaken to understand if there are differences between the two categories of respondents. The study was conducted in Coimbatore District, India with 410 respondents. The study found that fixed deposits were the preferred investment option whereas high-risk avenues such as crypto and derivatives were the least preferred. The study also found that the two respondent groups differ significantly in their investments.","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81615719","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}
Pub Date : 2021-01-01DOI: 10.4108/eai.7-12-2021.2314603
Susithra S, Anuradha M. Ashok, Manoharan V K
{"title":"Perovskite Oxide Nanocomposites for Thermoelectric Applications","authors":"Susithra S, Anuradha M. Ashok, Manoharan V K","doi":"10.4108/eai.7-12-2021.2314603","DOIUrl":"https://doi.org/10.4108/eai.7-12-2021.2314603","url":null,"abstract":"","PeriodicalId":20712,"journal":{"name":"Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81627150","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：