2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)最新文献_第10页

Industry 5.0: Human touch and the future 工业5.0:人性化与未来

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113946

Dharmesh K. Mishra, Dipen Paul

{"title":"Industry 5.0: Human touch and the future","authors":"Dharmesh K. Mishra, Dipen Paul","doi":"10.1109/OTCON56053.2023.10113946","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113946","url":null,"abstract":"This paper aims to highlight important features of Industry 5.0 and locate for the need for human touch factors as a crucial driver towards mass personalization for products and services. The paper briefly reviews the genesis and metamorphosis of Industry 1.0 through Industry 5.0 to understand industrial revolutions and related paradigms. organizations in recent times appear to be affected by the implications of Industry 5.0. Case examples reveal that human touch factor is a key psychological and cultural ingredient as a human value add collaborating with robots (cobots) for achieving personalization in terms of Industry 5.0 outcomes, in comparison to mass customization objectively aimed at automation by Industry 4.0. Existing body of literature reveals critical shortage of knowledge about Industry 5.0, as this is a recent evolving concept. Key dimensions are identified to enhance understanding about human interventions, man-machine collaborations, and their inter-relationships in terms of the Industry 5.0 paradigm. The paper concludes by identifying key challenges for the acceptance of industry 5.0.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131038440","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}

引用次数: 0

Generic View of Sentiment Analysis Using Machine Leaning Models 使用机器学习模型的情感分析的一般观点

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113967

K. S. Devi, Rakesh Nayak, L. Lakshmi, M. Ravisankar

{"title":"Generic View of Sentiment Analysis Using Machine Leaning Models","authors":"K. S. Devi, Rakesh Nayak, L. Lakshmi, M. Ravisankar","doi":"10.1109/OTCON56053.2023.10113967","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113967","url":null,"abstract":"Any sentence of a document has two different aspects: the context around which the sentence is constructed and the grammar using which the sentence is build. Any document is weighted and inferred based on the contextual meaning rather than the grammar used for its construction. For in the context we may have deeply hidden opinions, attitudes, diverse emotions, strong sentiments; may be on business products or on social renderings or on raving Human feelings. These opinions may be healthy and positive or unhealthy and negative. A business may expand its sales line by recommending a product to a customer, if it knows the customer opinion on a product prior. Emotions toned behind the series of social posts if analyzed properly may stop several social issues. In politics, to find the views of the voter, towards a specific political group, in quality assurance by finding errors in the products based on past user experiences and many more application scenarios to visit. For a recommender system sentiment analysis has been proven to be a valuable approach. For digging deeper insights sentiment analysis is using Natural language processing (NLP), Text Mining and Machine Learning techniques. There are many sentiment analysis algorithms, but the predominantly used are the machine learning approaches. Though the rule-based approach is less accurate in analyzing the sentiments, the rules which it had defined are base to all the Automatic sentiment analysis algorithms. Automatic sentiment analysis algorithms are machine learning algorithms, which uses the word2vec technique, for digging hidden sentiments. This paper includes a generic survey on the sentiment analysis domain. To reach at an understandable level for the young writers this paper presents a review on how to look into any sentiment analysis based machine learning application.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132377377","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}

引用次数: 0

Time Series forecasting of Agriculture Yield of Cotton with Regression Model Implementation 基于回归模型的棉花产量时间序列预测

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113947

Neetu Agarwal, Susmita Ray, K. C. Tripathi

{"title":"Time Series forecasting of Agriculture Yield of Cotton with Regression Model Implementation","authors":"Neetu Agarwal, Susmita Ray, K. C. Tripathi","doi":"10.1109/OTCON56053.2023.10113947","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113947","url":null,"abstract":"The farmers benefit from yield prediction as it lowers down their expenses and assists them in obtaining the best prices for their crops. Time series of a signal contains vital information that can be used for predicting the future points in the series. However, such prediction requires careful analysis of the correlations in the time series. Getting the right number of past observations is a very important part of time-series forecasting (lags). We have used auto correlation in the time series of yield of Cotton of all over India from the period 1964-2020. This study employs a comparative analysis between three approaches to examine the accuracy of prediction based on suitable value of time lag. These include a statistical method based on the auto correlation function, the widely used machine learning method of regression analysis, and the best prediction is chosen based on the ideal time-lag value. An experimental data set with a single predictor was used to test the techniques i.e actual yield and its different lags moving a 1-step ahead, 2-step ahead and so on till 5 as a target values (predicted yield). Root Mean Square Error (RMSE) and R-squared were the performance metrics. The investigation demonstrated that the proposed linear, multi linear regression and non-linear regression at degree 4 analysis is the better method for determining the best time-lag value.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125113597","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}

引用次数: 0

EVO-Based Optimization of Deep Learning Models for Diabetic Retinopathy Diagnosis 基于evo的糖尿病视网膜病变深度学习模型优化

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113927

Kanchan S.Gorde, A. Gurjar

引用次数: 0

A Proposed study to improvise sorting and management of E-waste 建议研究电子废物的分类和管理

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113926

Keshav Sharma, N. Jain, Jyotsna

引用次数: 0

Comparative Analysis of Machine Learning Models for Short-Term Load Forecasting 短期负荷预测的机器学习模型比较分析

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114042

G. Patel, V. Kale, sudarshan khond

{"title":"Comparative Analysis of Machine Learning Models for Short-Term Load Forecasting","authors":"G. Patel, V. Kale, sudarshan khond","doi":"10.1109/OTCON56053.2023.10114042","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114042","url":null,"abstract":"Load forecasting is challenging owing to the impact of unforeseeable and fuzzy variables such as temperature, humidity, wind speed, and other parameters on load prediction. In this work, algorithms such as Support Vector Machine, Decision Tree, Random Forest, and Linear Regression are used for load forecasting are analyzed for their efficacy. Using the case of each algorithm for a particular load forecasting problem is discussed and general parameter settings for an algorithm to obtain optimal load forecasting are reported. Models are implemented using Jupyter Notebook with Python 3 programming language. Data is used on the Panama Power system from March 2015 to June 2020. This data is further divided into three sizes as small, medium, and large datasets with increasing feature numbers. SVR comes out to be the best algorithm for small datasets. For medium dataset MLR, SVR with holiday feature and RF with holiday performs the best. For large dataset with all features RF perform the best. But the SVR and MLR performs better throughout for all features. Also with temperature feature with large dataset a sudden spike in MAPE from datetime increases by 160.4% for one city temperature, 67.27% for two city temperatures and 25.7% for three city temperatures but when holiday used the same model gives the best results among all model, which shows the importance of holiday feature for SVR in large dataset.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"345 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123355544","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}

引用次数: 0

The Cocoon of Anthropoid on Trauma Alleviation using Virtual Reality 虚拟现实技术在类人猿创伤缓解中的应用

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113970

C. Rajan, M. Bhavatharani, R. Abarna, M. Dhanasri

{"title":"The Cocoon of Anthropoid on Trauma Alleviation using Virtual Reality","authors":"C. Rajan, M. Bhavatharani, R. Abarna, M. Dhanasri","doi":"10.1109/OTCON56053.2023.10113970","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113970","url":null,"abstract":"In this modern era, stress has become a common problem among every individual especially teenagers. The term stress is used in physics to determine the interaction between a force and the resistance to counter that force. Later, Hans Selye who was known as the father of stress research was the first person to incorporate the term into the medical lexicon. The change in the lifestyle of the people has drastically affected their mental and physical health. Stress reduction is essential for maintaining your overall health as it boosts the immune system, improves your mood, and helps maintain your health. While everyone is into physical treatments like consulting a psychiatrist for counseling, yoga, etc., our project provides a virtual solution that would as effective as other successful remedies for Stress reduction. We have planned to implement the concept of Virtual Reality (VR) to create an imaginary world where the person wishes to stay including parks, beaches, tourist spots in different countries, games, a cartoon world, etc., This app is connected to a sensor that would calculate the stress level and notify the person when it is beyond the limit. The person will be automatically recommended to take a break from his/her work and enjoy by using our VR app with the VR glass to get rid of his/her stress by themselves. This app also contains insights to lead a healthy life to get completely out of the term stress from their life. Regardless of the age of the individual, our solution is beneficial for all.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123375586","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}

引用次数: 0

Application of Wearables in Healthcare Management: Recent Trends and Futuristic Approach 可穿戴设备在医疗保健管理中的应用:最新趋势和未来方法

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113968

Smita Wagholikar, Omkar Wagholikar

{"title":"Application of Wearables in Healthcare Management: Recent Trends and Futuristic Approach","authors":"Smita Wagholikar, Omkar Wagholikar","doi":"10.1109/OTCON56053.2023.10113968","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113968","url":null,"abstract":"Healthcare management shows revolutionary changes attributed to the technological advances and wearable devices. The wearables are fabricated for accurate measurement of organs and fluids in human beings through sensors, compiling and providing information for healthcare support and diagnosis. Artificial intelligence, developments in telecommunication, online services and wearables have fulfilled requirements of e-health for healthcare services and the bridged the gap between facilities available to city and countryside communities. This study discusses the latest developments and patents in wearables that are specially designed for elderly people, mental health treatment, thermal treatment and more specific applications. Nano materials, smart textiles and wearables operating in a wireless mode are recent trends in healthcare support and management. Artificial intelligence, internet of things and high-speed internet and various types of sensors are key factors in designing smart wearable devices employed in healthcare. Analysis of documents obtained from the Scopus database applying VOSviewer in the healthcare sector is presented. The paper ends by mentioning the research ideas that can be undertaken by future researchers.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121164642","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}

引用次数: 0

Novel Technology development for High Power Vehicle Charging using Multiple Stage IPT System 多级IPT系统大功率汽车充电新技术开发

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113912

M. V. Karthik, G. M. Rao, M. Reddy, Anandakumar Annavarapu

{"title":"Novel Technology development for High Power Vehicle Charging using Multiple Stage IPT System","authors":"M. V. Karthik, G. M. Rao, M. Reddy, Anandakumar Annavarapu","doi":"10.1109/OTCON56053.2023.10113912","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113912","url":null,"abstract":"The growing awareness of CO2 and the less cost of electric vehicles contribute to the rapid growth of electric mobility (EV). Expanding EV market segments between recently sold automobiles show the move toward environmental mobility. However, more development is needed to eliminate the technological obstacles currently preventing a wide-scale deployment. On the one hand, the regulated electrical dynamic range and lengthy battery charge times of today’s EVs are addressed by developing the storage of electrical energy devices with increasingly better energy and power densities. Therefore, one of the most promising strategies for lowering the use of fossil fuels is regarded to be vehicle electrification. But since it takes so long and requires both human and mechanical labour, battery charging is still one of the significant obstacles to electrification. This paper’s main objective is to create a modular inductive power transfer (IPT) system with high DC-battery efficiency and power density. The simultaneous consideration of numerous design objectives is accomplished through a multi-objective optimization procedure. Electromagnetic finite element method calculations are combined with analytical models to compute the power losses, the stray magnetic field, and the required construction volume of the IPT coils.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125136003","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}

引用次数: 0

Rabin and ElGamal Cryptosystem for a secured communication: A Detailed Cryptanalysis 用于安全通信的Rabin和ElGamal密码系统:详细的密码分析

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113914

Rajdeep Chakraborty, Malabika Das

引用次数: 0