2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)最新文献_第2页

Performance Analysis and Prediction of Diabetes using Various Machine Learning Algorithms 使用各种机器学习算法对糖尿病进行性能分析和预测

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074117

Saurav Dev, B. Kumar, D. Dobhal, Harendra Singh Negi

{"title":"Performance Analysis and Prediction of Diabetes using Various Machine Learning Algorithms","authors":"Saurav Dev, B. Kumar, D. Dobhal, Harendra Singh Negi","doi":"10.1109/ICAC3N56670.2022.10074117","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074117","url":null,"abstract":"Nowadays, diabetes has become very common. In every house, there should be a person who has diabetes. It is a menacing condition, which means dangerous, and this disease is known as a chronic illness. This happens due to a high level of glucose or sugar in the human body, and then it becomes very indispensable to maintain a level of sugar throughout our lifetime, so it needs to be predicted earlier in the starting days. They are majorly in type 1 and type 2, and gestation is also there, which occurs in pregnancy. Diabetes may cause eye diseases like increasing eye pressure and glaucoma. There may be a chance of heart disease and a slow recovery rate of the pancreas. In this article, we are going to propose and analyze the machine learning algorithms for diabetes prediction by using a dataset of different features (Glucose, BMI, Age, etc.). Outcome of this paper is accuracy, precision, recall and f1-score for various machine learning algorithms. Consideration of implementation on all features, without glucose and without pregnancy for diabetic and non-diabetic. For all features logistic regression has highest accuracy i.e 74.45%, for without glucose feature KNN gives highest accuracy level i.e 68.83% and without pregnancy feature, KNN accuracy with 76.19%.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114903138","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: 1

Evolution From Industry 1.0 to Industry 5.0 从工业1.0到工业5.0的演变

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074274

Aeshita Mathur, Ameesha Dabas, Nikhil Sharma

{"title":"Evolution From Industry 1.0 to Industry 5.0","authors":"Aeshita Mathur, Ameesha Dabas, Nikhil Sharma","doi":"10.1109/ICAC3N56670.2022.10074274","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074274","url":null,"abstract":"The industrial revolution is characterized by a shift in methods from agricultural, pastoral, and handicraft economies to the one that is dominated by production industries. The Industrial Revolution brought a significant transformation from economies that were initially based on agriculture to the one that is now dominated by large-scale industries. The Industrial Revolution was first used for Britain’s economic development in 1760 by Arnold Toynbee. It broadly applies to economic transformation rather than a period of time. The primary characteristics of an industrial revolution are technological, cultural, and socioeconomic. During the first industrial revolution, a transition to manufacturing processes using steam and water took place. Electrical technology was primarily used in the second industrial revolution to increase production. The third industrial revolution came with IT and electronics, wherein the main focus was on automation in production. The fourth industrial revolution was to provide customization using AI. The fifth industrial revolution focuses on providing personalization and a human touch to manufacturing methods. Industry 5.0 is sometimes seen as anti-industrial because of its personalization involving the human touch. This paper has done a systematic analysis of the five industrial revolutions.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115458805","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

Predictive Analytics of Stock Market as a Time Series 股票市场作为时间序列的预测分析

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074155

Arth Singh, Anmol Bansal, Anoop Nair V, Anukriti Kaushal

引用次数: 0

Hybrid Classification Method for the Heart Disease Prediction 心脏病预测的混合分类方法

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074324

Satya Sourav Panigrahi, Navneet Kaur

引用次数: 0

Newborn Identification using footprints: Add another line of security 使用脚印识别新生儿:增加另一道安全防线

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074525

Akash Rathour, Brijesh Kumar Chauhan, Harshita Bajaj, Renu Mishra

{"title":"Newborn Identification using footprints: Add another line of security","authors":"Akash Rathour, Brijesh Kumar Chauhan, Harshita Bajaj, Renu Mishra","doi":"10.1109/ICAC3N56670.2022.10074525","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074525","url":null,"abstract":"People are getting more interested in biometric identification for a variety of reasons. Identification of new born is still a great problem even in this time. Solving this problem could safeguard children from identity theft and fraud, assist in the reunification of lost children with their parents, improve border control systems in the fight against child trafficking, and help electronic document management systems The research presented in this article focuses on biometric strong authentication systems that leverage foot geometry factors. A footprint has three distinct traits that are adequate to identify a person. Different forms of qualities include shape, smoothness, and detail. We analysed the most often used geometrical features of the foot, comprising length, breadth, area, and circumference, to unique information about a person. The axes, major and minor. The categories of features include spatial, smoothness, and delicacy. To uniquely identify persons, we assessed the most often utilised morphological properties of either the foot utilising height, width, region, main pole, and equivalent diameter. Weights are assigned to each feature, highlighting its importance, and several versions of these traits are computed. We chose the best foot summaries and discovered that the province is by far the most important aspect of determining a person's foot. To improve reliability, foot contour characteristics are coupled with foot descriptions. A Gray scale image founder grids relying on Haralick properties are constructed for texturing using Classifier Model as the discriminator. In situations where people remove their shoes, such as holy sites, security checks, private pools, and leisure facilities, foot biometrics can be employed as an extra covert authentication method.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114489493","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

Analysis of Optimal Design Model in Vehicle Routing Problem based on Hybrid Optimization Algorithm 基于混合优化算法的车辆路径优化设计模型分析

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074530

Jai Keerthy Chowlur Revanna, Rakesh Veerabhadrappa

{"title":"Analysis of Optimal Design Model in Vehicle Routing Problem based on Hybrid Optimization Algorithm","authors":"Jai Keerthy Chowlur Revanna, Rakesh Veerabhadrappa","doi":"10.1109/ICAC3N56670.2022.10074530","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074530","url":null,"abstract":"The organizations such as the online product sales and delivery system increases the number of vehicle movement and thus generate the routing problems for vehicle. In that, some of the products like medical equipment, medicinal products are needs to deliver in the proper time to prevent unexpected problems. Due to increase in the vehicle traffic, this needs to focus on better routing system in the vehicle movement with speed of transport and optimal routing area. This paper analyzed different optimization algorithm along with the hybrid optimization algorithm to solve this problem. There are several optimization algorithms are used to identify the optimal routing path for the vehicle movement based on the basic parameters such as the number of customers or users, number of vehicles that are allocated and the distance that the vehicles can travel. This also focused on the cost efficiency and the reduction of time complexities with relevant other parameters. The proposed hybridization of optimization algorithm involves the selection of best route and the coverage area with minimum number of vehicles and the best fitness value. The overall work was analyzed and tested with the result comparison of other optimization algorithms to represent the performance of Hybrid ACO-GA combination than the other state-of-art methods.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121842603","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: 4

Challenges of Digital Transformation in Education in India 印度教育数字化转型的挑战

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074462

Saurabh Shukla, Lija Jacob

{"title":"Challenges of Digital Transformation in Education in India","authors":"Saurabh Shukla, Lija Jacob","doi":"10.1109/ICAC3N56670.2022.10074462","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074462","url":null,"abstract":"Online learning has been present since the 1960s and has risen in popularity over time. World-class universities have been using online teaching-learning methodologies to fulfill the needs of students who reside far away from academic institutions for more than a decade. Many people predicted that online education would be the way of the future, but with the arrival of COVID-19, online education was imposed upon stakeholders far sooner and more suddenly than expected. When the COVID-19 pandemic broke out, educational institutions began to explore digital ways to keep students studying even when they couldn't be together in person as governments enacted legislation prohibiting large groups of people from gathering for any reason, including education. The future of such a transition looks promising. However, transitioning from one mode of education to another is not easy. Historically, when educators adopt new tools, learning still continues in the conventional manner. Based on the responses of 176 students, this paper studies the challenges of Digital transformation in the Education sector. The research is extremely beneficial in evaluating the scope of societal opposition to change.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122186547","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

Smart Robot to Detect Human Presence in An Isolated Place 智能机器人在孤立的地方检测人类的存在

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074112

M. Chaudhari, Aditi, Adarsh

引用次数: 0

Transforming online class recording into useful information repositories using NLP methods: An Empirical Study 利用NLP方法将在线课堂记录转化为有用的信息库:一项实证研究

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074025

Deepa Fernandes, R. Wagh

{"title":"Transforming online class recording into useful information repositories using NLP methods: An Empirical Study","authors":"Deepa Fernandes, R. Wagh","doi":"10.1109/ICAC3N56670.2022.10074025","DOIUrl":"https://doi.org/10.1109/ICAC3N56670.2022.10074025","url":null,"abstract":"Most educational institutions have adapted to the mode of online teaching which has resulted in an increase of online video recordings. Learner community can be benefited with the ability to retrieve required information from the online class recordings. In this paper, we propose a methodology for converting video transcript data into useful information repositories for the purpose of retrieving class transcripts relevant to user's information needs. We focus on the online video recording transcript data. We also discuss challenges in transcribing which are crucial to understand preliminary processing. Our dataset consists of transcripts from diverse subject domains deeper experimental insights. We use interactive transcripts obtained from ASR (automatic speech recognition) services and non-interactive human generated transcripts. State-of-the-art methods for keyword retrieval: Latent Dirichlet Topic Modelling (LDA), Term Frequency (TF.IDF) and Text Rank (graph based) are applied on the video transcript data. Further, cosine similarity metric is applied to obtain the similarity measure between the transcript documents and keywords.","PeriodicalId":342573,"journal":{"name":"2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128398738","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

Language Transliteration with LSTM Encoder-Decoder Model 基于LSTM编码器-解码器模型的语言音译

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI: 10.1109/ICAC3N56670.2022.10074084

Pratham Mittal, Kartik Garg

引用次数: 0