International Journal of Advanced Research in Science, Communication and Technology最新文献_第4页

Handwritten Character Recognition: A Comparative Study 手写字符识别：比较研究

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18260

Aishani Sengupta, Anubrata Mukherjee, Tanaya Pal, Sourav Das

引用次数: 0

Healthcare System using IoT and Building Health Monitor App 使用物联网和楼宇健康监测应用程序的医疗保健系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18270

M. Kusuma Sri, B. Hemalatha, J. Aparna Priya, Amrita. S

{"title":"Healthcare System using IoT and Building Health Monitor App","authors":"M. Kusuma Sri, B. Hemalatha, J. Aparna Priya, Amrita. S","doi":"10.48175/ijarsct-18270","DOIUrl":"https://doi.org/10.48175/ijarsct-18270","url":null,"abstract":"An improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to cloud storage and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises.\u0000The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced.\u0000Hence the proposed architecture collects the sensor data through Arduino microcontroller and relays it to the cloud where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Email and/or SMS alerts","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"135 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140977173","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

Sign Language Interpreter for Physically Challenged People 肢体残疾人手语译员

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18259

Madhur Gattani, Saloni Nathani, Mohit Agrawal, Adarsh Kashyap

引用次数: 0

Design and Implementation of Low Power Comparator Based Flash ADC 基于比较器的低功耗闪存 ADC 的设计与实现

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18271

M. Kusuma Sri, B. Hemalatha, J. Aparna Priya, Amrita. S

引用次数: 0

The Green Breath for the Survival of Mankind in 21st Century using Sustainable Air Purifier 可持续空气净化器为 21 世纪人类的生存提供绿色呼吸

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18257

Mr. Juned Khan, Mr. Lokesh Sanjay Raut, Ms. Bhargavi Sanjay Hirulkar, Ms. Sakshi Jungade

引用次数: 0

Heart Disease Prediction and ECG Analysis 心脏病预测和心电图分析

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18272

Dr. Manisha Pise, Aditi Sadlawar, Anushka Mogre, Arya Upganlawar, Jayashree Derkar

{"title":"Heart Disease Prediction and ECG Analysis","authors":"Dr. Manisha Pise, Aditi Sadlawar, Anushka Mogre, Arya Upganlawar, Jayashree Derkar","doi":"10.48175/ijarsct-18272","DOIUrl":"https://doi.org/10.48175/ijarsct-18272","url":null,"abstract":"Heart disease remains a leading cause of mortality worldwide, necessitating effective detection and management strategies. In this project, we leverage machine learning algorithms to develop a robust heart disease detection system. The dataset used comprises various clinical attributes such as age, gender, chest pain type, and biochemical markers. Through exploratory data analysis and visualization, we gain insights into the dataset's characteristics and correlations between features. Subsequently, we implement several machine learning algorithms, including Logistic Regression, Decision Tree Classifier, K-Nearest Neighbors (KNN), and Support Vector Classifier (SVC), to predict the presence of heart disease based on patient attributes. Model performance is evaluated using metrics such as accuracy score, enabling comparison and selection of the most effective algorithm for heart disease detection. Our findings underscore the potential of machine learning in augmenting traditional diagnostic approaches and paving the way for early intervention and improved patient outcomes in cardiovascular health","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"94 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140973316","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

Fit-Sense AI Fit-Sense 人工智能

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18256

Dr. Sharon Christa, Jayant Sanjay Ghadge, Jay Sanjay Kothale, Prathmesh Prashant Buradkar, Prajyot Santosh Chavan

引用次数: 0

Study on Job Demands, Work Engagement and Growth Mindset among Young Adults 关于年轻人的工作要求、工作参与度和成长心态的研究

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18266

Lipi Dabral, Dr Pankaj Singh

引用次数: 0

An Improved Fire Detection Approach Based On Yolo-v8 for Smart Cities 基于 Yolo-V8 的智能城市改进型火灾探测方法

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18253

Madhukara S, Divya Reddy P R

{"title":"An Improved Fire Detection Approach Based On Yolo-v8 for Smart Cities","authors":"Madhukara S, Divya Reddy P R","doi":"10.48175/ijarsct-18253","DOIUrl":"https://doi.org/10.48175/ijarsct-18253","url":null,"abstract":"Systems for detecting fires are essential for preventing property damage and saving lives. defending people and property. Conventional techniques frequently depend on sensor-based strategies, which have limitations in intricate settings. In order to improve accuracy and efficiency, this study suggests an intelligent fire detection system that makes use of machine learning and computer vision techniques. The technology analyzes video streams in real time using deep learning algorithms to identify fire incidents based on visual patterns and attributes. Future research on fire detection systems will benefit from the information this study will provide for smoker and fire detection issues in both indoor and outdoor situations. The improved fire detection technique for smart cities that is based on the YOLOv8 algorithm is the smart fire detection system (SFDS), which uses deep learning to identify fire-specific properties in real-time. The SFDS strategy may be more cost-effective, reduce false alarms, and improve fire detection accuracy when compared to traditional methods.\u0000It can also be extended to find other intriguing aspects of smart cities, such as gas leakage or flooding. The proposed smart city framework consists of four primary levels: the application layer (i), cloud layer (iii), fog layer (ii), and internet of things layer (iv). The recommended technique uses fog, cloud computing, and the Internet of Things layer to collect and understand data in real time. This reduces the chance of damage to persons or property and enables faster reaction times. The SFDS demonstrated state- of-the-art performance in terms of precision and recall, with a high precision rate of 97.1% across all classes. Among the potential applications are intelligent security systems, forest fire monitoring, and public space fire safety management.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"10 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140974292","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

Student Attendance using RFID System 使用 RFID 系统的学生考勤

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-05-15 DOI: 10.48175/ijarsct-18252

Dr H Girish, Hemanthi, Indu Bai, Jagruti, Lovely Kumari

引用次数: 0