2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)最新文献_第3页

Effectual Assessment of Machine Learning-based Heart Failure Prediction Prototype 基于机器学习的心力衰竭预测原型的有效评估

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029187

B. Nithya, A. V, A. P. Nirmala, Binju Saju, Dobariya Parth, Jain Komal

{"title":"Effectual Assessment of Machine Learning-based Heart Failure Prediction Prototype","authors":"B. Nithya, A. V, A. P. Nirmala, Binju Saju, Dobariya Parth, Jain Komal","doi":"10.1109/ICACRS55517.2022.10029187","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029187","url":null,"abstract":"Heart failure (HF) is one of the most frequent illnesses in modern times, and it can lead to grave scenarios. About 26 million people suffer from this disease every year. From the point of view of cardiology consultants and surgeons, predicting heart failure with improved accuracy is challenging. There are various classification and predictive models which can assist the healthcare sector and explain how to efficiently use data for effective predictions. To that goal, this research study has applied a range of machine learning (ML) algorithms to comprehend the data and predict the occurrence of heart failure in medical databases. Additionally, the findings and comparison analysis determined that this study improved on the prior assessment of the accuracy of predicting heart disease based on the prominent attributes. This study’s combination of machine learning models with medical information systems can assist in predicting the heart failure and other disorders using data obtained from the patients. The implication of k-fold cross validation for predictive model building and assessment insisted that the performance of the model could be enhanced for more reliable predictions. The classifiers used in this study are-Decision Tree, Random Forest, and Logistic Regression, in which Decision Tree provided more accurate results than the other classifiers.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129697226","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

Bandwidth and Power Cost Optimized Over Visible Light Communication 在可见光通信上优化带宽和功耗

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029064

K. M, S. K

引用次数: 0

Knitting Machine Monitoring System using Arduino 基于Arduino的针织机监控系统

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029236

T. Logeswaran, B. S, Jyothiprabha D, Karthika S, Suganeshwaran S, R. R

{"title":"Knitting Machine Monitoring System using Arduino","authors":"T. Logeswaran, B. S, Jyothiprabha D, Karthika S, Suganeshwaran S, R. R","doi":"10.1109/ICACRS55517.2022.10029236","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029236","url":null,"abstract":"A knitting system is used to create knitted fabric in a semi-or absolutely automatic fashion. Knitting machines are extraordinarily famous and are extensively used with inside the knitting enterprise to supply fabric. Knitting system stoppages purpose a lack of cloth manufacturing. The easy going for walks of a knitting system relies upon on the quality of yarn, knitting system environment and its manufacturing conditions. Knitting machines prevent because of exceptional causes. In this work, it became discovered that the purpose of stoppage became because of yarn breakage. This brought on 20.19% of overall stoppage time, respectively. Once the system stops because of yarn breakage, it must be manually rectified with the aid of labor force. A tracking device is needed to realize the full running hours of the knitting system. The knitting system is monitored with the assist of an Arduino. Here, voltage and sound sensors are used to degree the voltage and sound of the knitting system. The output of those sensors is fed to the Arduino Uno, in which the GS M module is hooked up to it. The GS M module will ship an SMS to the proprietor of the enterprise. This allows in calculating the running hours of the system.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129663350","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

IoT and Artificial Intelligence-based Low-Cost Smart Modules for Smart Irrigation Systems 基于物联网和人工智能的智能灌溉系统低成本智能模块

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029299

V. Anand Kumar, A. Renaldo maximus, S. Vishnupriyan, K. Sheikdavood, P. Gomathi

{"title":"IoT and Artificial Intelligence-based Low-Cost Smart Modules for Smart Irrigation Systems","authors":"V. Anand Kumar, A. Renaldo maximus, S. Vishnupriyan, K. Sheikdavood, P. Gomathi","doi":"10.1109/ICACRS55517.2022.10029299","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029299","url":null,"abstract":"Most people in India depend on agriculture as their main source of income. Using the latest technology is a must to protect valuable water resources. Besides being the cornerstone of Industry 4.0, IoT also enhances its capabilities in smart agriculture. The research aims to create a low-cost cutting-edge technology for smart irrigation. IoT can be used to enable self-talk and connectivity between system devices. User-involved management modes, one-time settings for calculating irrigation schedules, timers for remote data monitoring using the BLYNK server and event-based pump control are some of the features. The proposed project aims to enable real-time pollination of modern agricultural systems using IoT protocols. IoT has been developed for the environmental monitoring of agriculture and farmland. The system is designed to monitor temperature, humidity and soil moisture using an Android phone. Solar panels from renewable energy. Different nodes in different places are connected through the Internet of Things, the Internet of Things transmits and receives data in the nodes, and the condition of the agricultural land is sent to the user (blynk server) through the Internet of Things to control the pumping system. The system uses MQTT and HTTP to allow users to understand current crops even from a distance. Smart, cheap, portable and other advantages, suitable for greenhouses, farms, etc.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127042232","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

Contrast Enhancement of Lung CT Scan Images using Multi-Level Modified Dualistic Sub-Image Histogram Equalization 基于多级改进二元子图像直方图均衡化的肺部CT扫描图像对比度增强

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029217

K. Ezhilraja, P. Shanmugavadivu

{"title":"Contrast Enhancement of Lung CT Scan Images using Multi-Level Modified Dualistic Sub-Image Histogram Equalization","authors":"K. Ezhilraja, P. Shanmugavadivu","doi":"10.1109/ICACRS55517.2022.10029217","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029217","url":null,"abstract":"Image enhancement is one of the most important phases of automated in lung cancer detection. Lung cancer is a worldwide fatal disease that claims victims among both men and women. Computed Tomography (CT) is the most effective predominantly used medical imaging modality for diagnosing uncontrolled lung cell growth. The detection of lung cancer from a CT scan using visual perception requires extensive visual abilities and expertise. The proposed Multi-Level Modified Dualistic Sub Image Histogram Equalization (ML-DSIHE) separates the histogram of a CT image into two parts using the mid-point of the intensity scale. Then ML-DSIHE iteratively divides the bifurcated histogram based on the median and then histogram equalization independently on those partitioned histogram. The proposed ML-DSIHE offers a solution for over-enhancement and under-enhancement of background, loss of foreground Gray-Level components, and noise amplification. The M-DSIHE is confirmed to be a novel enhancement method and thus greater aids in the early detection of lung cancer improved accuracy. The ML-DSIHE is found to the accuracy of early detection of lung cancer. Moreover, this enhancement technique is computationally simple and thus takes less computational time.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127536048","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

Task Scheduling Algorithms in Fog Computing: A Comparison and Analysis 雾计算中任务调度算法的比较与分析

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029029

Tarun Jagadish, Onkar Apte, K. Pradeep

引用次数: 0

A Review of Remote Health Monitoring System for Patients using IoT 基于物联网的患者远程健康监测系统综述

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10028995

V. K, Anil Hegde H, Abhishek, Dhruva S Srinivas, G. Krishna Chaitanya

引用次数: 0

Prediction of YouTube View Count using Supervised and Ensemble Machine Learning Techniques 使用监督和集成机器学习技术预测YouTube观看次数

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029277

Manikandan P, Manimuthu A, Sharmila Rajam J, Sathya Narayana Sharma K

{"title":"Prediction of YouTube View Count using Supervised and Ensemble Machine Learning Techniques","authors":"Manikandan P, Manimuthu A, Sharmila Rajam J, Sathya Narayana Sharma K","doi":"10.1109/ICACRS55517.2022.10029277","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029277","url":null,"abstract":"The social media platform named YouTube is an American based online video sharing and it is headquartered in California. It also provides various services to users such as watching and uploading their own videos through their laptop, mobile and PC’s. The goal of this research work is to analyze the YouTube view count for five different countries namely India, Britain, Russia, Canada and United states. The key goal is to investigate the view count of the video with influencing factors up on YouTube such as likes, dislikes, published date, trending date, Country, Category of the video and other ten variables. This has also indicated the relationship between dependent variable \"view count \"with all other independent variable by the regression analysis. This data analysis helps the users for better understand of their video, channel performance and reports in YouTube. Through the results of YouTube analysis, it is helpful for the users to identify the key metrics such as video content, duration of the video and liked or disliked. These metrics helps the users to make their video trending. The data is collected from the Kaggle repository, where the data will be updated on the daily basis. Various machine learning regression models such as Multiple Linear Regression (MLR), Random Forest Regressor (RFR), Decision Tree Regressor (DTR), XGBoost Regressor (XGB), Gradient Boost Regressor (GBR) has been used to predict the view count of the video. The results of each of these algorithms are noted and compared in order to determine which method is best suited for the view count prediction. The experimental results inferred that the Random Forest technique performs better than the other machine learning models.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130548840","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

A Machine Learning based Approach to Early Stage Diabetes Prediction 基于机器学习的早期糖尿病预测方法

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029030

Yudheksha Gk, Vijay Murugadoss, P. Reddy, Harshavardan T, Shivram Sriramulu

引用次数: 0

MiMi: Sinhala Language Speech Assistive Learning Bot to Support Children with Stuttering MiMi:僧伽罗语语音辅助学习机器人，支持口吃儿童

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029139

Kalhan Vithana, D.N.N Weerarathne, H.A.S Krishan, M. Wijesiri, S. Thelijjagoda, J.A.D.T Jayawickrama, N. Weerawarna

{"title":"MiMi: Sinhala Language Speech Assistive Learning Bot to Support Children with Stuttering","authors":"Kalhan Vithana, D.N.N Weerarathne, H.A.S Krishan, M. Wijesiri, S. Thelijjagoda, J.A.D.T Jayawickrama, N. Weerawarna","doi":"10.1109/ICACRS55517.2022.10029139","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029139","url":null,"abstract":"This research paper presents “MiMi”, a Sinhala Language voice assistive gamified solution that is designed to address stuttering in children aged between three and fourteen. Speech disorders occur when the regular flow of communication is disrupted. Stuttering, Lisps, Dysarthria, and Apraxia are some variations of speech impairments. Stuttering can be caused by a variety of factors including physical weaknesses, inherited diseases, Autism, and accidents. The risk of continuing to stutter into adulthood is highest in children between the ages of three to fourteen. It is recognized that stuttering therapy activities were less effective in managing stuttering after this age. Stuttering treatments comprise speech therapy with speech-language therapists, which requires in-person sessions that can be challenging and expensive in some circumstances. A parent’s financial ability, their busy schedules, the state of the economy in the nation, and the feasibility of physically seeing therapists and enduring treatments are all factors that might encourage or demotivate participation in therapy sessions. The development in technology and technical approaches have revolutionized the medical field and several studies have been conducted regarding communication disorders in recent years. The application can be used to practice a child’s needed speech therapy virtually and can also be used to aid speech therapy sessions done by speech therapists. The main aim of the system is to provide a customized, engaging, and innovative therapeutic strategy for children to manage stuttering.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123096465","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