{"title":"Quantifying the New Media Literacy of Rural People: An Online Video Entertainment Perspective","authors":"Rajarathi Karunakaran, S. S","doi":"10.1109/irtm54583.2022.9791650","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791650","url":null,"abstract":"This study attempts to quantify the level of new media literacy of the rural people of Tamil Nadu, India. New media literacy is vital for the digital transformation, catering to the requirements of the latest technological era, to gain autonomy in accessing the new media. This study is based on quantifying the new media literacy from the perspective of the respondents' online video entertainment consumption. The study conducted among 230 rural respondents, is segmented into two parts. One measures the new media literacy of the rural people based on ten indicators extracted from the literature. It resulted that among ten indicators, Understanding, Consuming, and Analysis skills are high among the respondents, respectively. The respondents were found to have a lower level of skills for Production and Creation of content using new media technologies. The second part of the work is about the study of the relationship between demographic characteristics and new media literacy of the respondents. It was found that there is a significant relationship between Age, Education and Income on new media literacy, while Gender of the respondents does not affect the level of new media literacy.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124266107","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 Systematic Analysis on Cryptocurrencies as a Financial Asset","authors":"Aditya Vikram Singh, Jyoti Shaw, Varsha Mishra, Ankita Singh","doi":"10.1109/irtm54583.2022.9791804","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791804","url":null,"abstract":"Cryptocurrencies are considered digital asset that is saved on a computerized database in a public ledger format using strong cryptography methods or blockchain to secure the transaction record. In recent times it has attracted a large number of holders. Cryptocurrencies are based on entirely new technology, whose prospects are still undiscovered and unknown, which in turn attracted considerable academic studies directed towards creating theoretical models of cryptocurrencies and their possible prospects. In this study, we have considered the topmost cryptocurrencies namely Bitcoin, Ethereum, Ripple, and Litecoin as they have a major part in the cryptocurrency market capitalization which is around 83.4% of the total market. The objective of the study is to understand whether there is a significant association between 4 cryptocurrency prices namely Bitcoin, Ethereum, Litecoin, Ripple, and understand whether there is a significant relationship between the Bitcoin cryptocurrency pricing concerning Ethereum, Litecoin Ripple cryptocurrency prices. Secondary and primary data from different websites and questionnaires have been used for the study. It has emerged from the study that there is a high correlation between these cryptocurrencies' prices. It has also been found that Bitcoin prices increases, if Ethereum and Litecoin prices increases. Bitcoin prices decrease, only if Ripple prices increase.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116688316","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":"State of Charge Estimation of Electrical Vehicle Battery","authors":"Dipmala Rohidas Jadhav, D. Patil","doi":"10.1109/irtm54583.2022.9791627","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791627","url":null,"abstract":"The batteries are considered to be the good technology and this can be used in the electric vehicles very effectively. There are many advantages in the case of lithium-ion batteries like energy is high, density is also high and life has been improved to the great extent. The Li-ion battery is comparatively costly than the lead-acid battery. The state of the charge is important parameter for the consideration of the battery performance. The determination of the SOC involves the measurement of the open circuit voltage. The estimation of the SOC is the parameter to be considered in the case of the battery of the electric vehicles. The monitoring should be very accurate so that the battery management system can be very effective. The present work is the methodology related to the estimation of the state of the charge in the case of the batteries which are generally used in the Electric vehicles.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127264460","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":"Determinants of Customer Satisfaction towards Using e-tailing Apps: A Study among Millennial Shoppers","authors":"K. R., R. R","doi":"10.1109/irtm54583.2022.9791764","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791764","url":null,"abstract":"Electronic-Retailing (e-tailing) is gaining prominence worldwide aided by technological and digital improvements, Increased smartphone and internet penetration, the development of inexpensive 4G networks, and expanding consumer income throughout the world have contributed to the expansion of e-commerce. Exclusive customer promos, marketing campaigns, cashback, and redemptions made available for the customers through online channels have also contributed to the growth of electronic shopping. E-tailing is a subset of e-commerce that solely works with B2C consumers. When compared to other old generation cohorts, millennials are more sociable, tech-savvy, interactive in social media, have higher internet users. This research will aid in finding key e-service quality parameters that influence millennial shoppers' satisfaction concerning the online channel. A standardized questionnaire was used to conduct the study, garnering responses from 230 millennial e-shoppers. The survey was done with millennial shoppers who had made at least one purchase in the e-tailing platforms in the previous year was considered. The findings revealed that post-purchase behaviour characteristics such as on-time product delivery and delivering the exact product at the delivery significantly influence purchasing through e-tailing apps. This research provides new theoretical insights for e-tailers by linking content quality and user interactivity for purchase decisions.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129948068","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}
Rashmi Suresh Telgote, Sangita Nandurkar, S. R. Deore
{"title":"D-Statcom Based Voltage Sag And Swell Improvement Of Distribution System","authors":"Rashmi Suresh Telgote, Sangita Nandurkar, S. R. Deore","doi":"10.1109/irtm54583.2022.9791665","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791665","url":null,"abstract":"The primary voltage control can be obtained when the voltage kept varying while the measurement is to be carried out at the terminals in the case if the generators which are large capacity. The control if the voltage can be done when the current can be varied which is flowing in case of the field for the machine having synchronous nature while the voltage regular must be automatic for the generator. In the present work the distribution system is studied for the case of the D-STATCOM based voltage sag and the S-STATCOM based voltage well conditions through the MATLAB software. The simulation results shall be obtained for these cases through the software. The three phase voltage as well as the current for the case of transmission line having at the bus bar have also been obtained for the different cases. The receiving end bus bar measurement for the cases shall be obtained as the graphical format.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130487857","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 Comparative Study on Prediction of Heart Disease and Classifiers Suitable Analysis","authors":"Prerana Kundu, Sohini Mallik, Srimoyee Bhowmick, Pabitra Kundu, Hritam Banerjee, Pratim Mandal, Sudipta Basu Pal, Piyali Chandra","doi":"10.1109/irtm54583.2022.9791722","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791722","url":null,"abstract":"Machine learning is a vital research area for today's computer scientists. Artificial Intelligence has a critical connection with ML-based research. The authors of this article used machine learning to determine whether a person has cardiac disease. Many people suffer from cardiovascular diseases (CVDs), which claim the lives of people all over the world. Machine learning may be used to determine whether a person has a cardiovascular illness by considering certain factors such as chest discomfort, cholesterol levels, age, and other factors. Classification algorithms based on supervised learning which is a type of machine learning can make diagnoses of cardiovascular diseases easy. People with heart disease are classified using algorithms such as K-Nearest Neighbor (KNN), Random Forest, Logistic Regression, Decision Tree Classifier, SVM, Naive Bayes, and Gradient Boosting Classifier. The K-Nearest Neighbor (K-NN) and Random Forest supervised machine learning techniques are employed in this paper thoroughly.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130546232","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":"Analysis of Railroad Track Crack Detection using Computer Vision","authors":"S. Saha, S. Karmakar, Debasmita Manna","doi":"10.1109/irtm54583.2022.9791808","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791808","url":null,"abstract":"In this study, an experimental work is presented to detect the cracks in the railroad tracks using computer vision. Edge Detection process and Dataset Training methods are adopted for implementation of this work. Edge Detection is an image processing methodology for spotting the boundaries of objects within images. Dataset includes various templates, images and data which is used to train the algorithm and model so it can accurately predict the final outcome. This study is essential to analyze the cracks and faults in the railroad tracks to avoid accidents.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121450259","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":"The Waste Hierarchy: The order followed by the Indian Chemical Industry to reduce industrial wastewater pollution","authors":"S. D’Sa, D. Patnaik","doi":"10.1109/irtm54583.2022.9791620","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791620","url":null,"abstract":"The chemical industry is one of the largest generator of industrial wastewater in India. There is a concerted effort by the Indian chemical industry to replace its traditional linear waste management system to a level of high circularity. The theory of circular economy gave rise to the waste hierarchy introduced in the EU Waste Framework Directive 2008. This study uses the framework of the waste hierarchy to analyze the practice of industrial wastewater management in India. We explore the order of the levels of the waste hierarchy adopted by the Indian chemical industry and investigate the drivers and barriers influencing it. This brings insight for upgrading industrial wastewater management in light of advanced technologies and transitioning towards a circular society.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128133450","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 review on reinforcement deep learning in robotics","authors":"Hare Shankar Kumhar, V. Kukshal","doi":"10.1109/irtm54583.2022.9791615","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791615","url":null,"abstract":"Since the world is experiencing the industrial revolution 4.0, robotics is one of the many instruments that is making a significant effect. Reinforcement Learning (RL) has been emerged as one of the promising techniques in recent years to significantly improve control over this technological wonder. RL allows robots to become self-aware and self-directed toward completing a certain goal, which is then followed by user actions. This scientific field has seen multiple significant advancements over decades of hard work, and it will continue to do so in the future. As a result, this paper fills a need in the scientific community by providing a systematic assessment of research papers published in the last decade. In relation to the study issue, this paper raises and answers several relevant questions. Future scholars will have a good understanding of RL-based robotics after reading this study, which they will be able to apply into their own research.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132995813","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":"Eliminating cyanide species from aqueous matrices: An overview on some physical-chemical and nano-based techniques","authors":"S. Wagholikar, Y. Patil","doi":"10.1109/irtm54583.2022.9791810","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791810","url":null,"abstract":"Treatment of polluted industrial waste waters attracts attention to protect environment and prevent hazards. Waste industrial waters containing metal cyanide are treated in various ways and several methods are explored in order to make the water free of highly poisonous cyanide. The present overview provides a study on the ways to reduce the toxicity of cyanide polluted water. The physical, chemical and biological methods employed to serve the purpose reveal that the treatment of cyanide containing water is best achieved by using biological methods by exploring the avenues of bio-sorption and biodegradation using micro-organisms. Results indicate that use of heterogeneous supports to immobilize living microbial cells under suitable reaction conditions improves efficiency of removal of cyanide. Several physical and chemical methods to remove cyanide from waste water are available and are employed; these methods often prove to be expensive and need costly chemicals or apparatus, require high pressure and temperature conditions to operate or may create byproducts or harmful waste that demands separate treatment. Environmentally benign solutions for treating waste water are of immense interest. Besides the use of conventional methods, the use of zeolites, clays, nano-materials and other materials such as resins for treatment of cyanide containing waste water are also reported.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132270016","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}