2022 8th International Conference on Smart Structures and Systems (ICSSS)最新文献_第5页

Integrated Health Care System Using Smart Wearables Based on Intelligent- Internet of Things 基于智能物联网的智能可穿戴设备集成医疗系统

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782174

A. Benjamin Joseph, Anitha Shree, J. R. Lourdu Jennifer, S. Amudhapriya

{"title":"Integrated Health Care System Using Smart Wearables Based on Intelligent- Internet of Things","authors":"A. Benjamin Joseph, Anitha Shree, J. R. Lourdu Jennifer, S. Amudhapriya","doi":"10.1109/ICSSS54381.2022.9782174","DOIUrl":"https://doi.org/10.1109/ICSSS54381.2022.9782174","url":null,"abstract":"The objective of the proposed work is to prevent the significant effects due to COVID 19 including fatal disease by early diagnosing and treatment which is possible through an integrated intelligent health care system. The proposed work uses Wearable Internet of Things (WIoT) based on Ensemble Bayes Deep Learning Neural Network (DNN) technology to develop an integrated health care system for early detection with elevated performance. The motivation behind the work is (i) The pandemic Covid 19 has affected significantly 219 countries throughout the world out of which crores of people infected in India (ii) India fatality is 5.1 L in India due to COVID 19 (iii) Lack of information regarding the disease and insufficient health care support system. The proposed work aims to address the above-mentioned issues due to COVID 19 using the latest integrated intelligent technologies. The proposed system is integrated throughout the Nations to prevent the increase of COVID 19 and fatality due to it in both rural and urban areas. The system detects the asymptotic people who are infected at an early stage before the disease progress using the latest WIoT based on Artificial Intelligence technology. The system gathers information from the people smart ring which is further processed using a pre-processing algorithm, The information processed is classified using deep learning neural network as normal and disease infected people in Edge computing environment, further this information is stored in the cloud and interfaced to the application server. The information accessed through the application server signals the infected individual through the mobile including the health conditions and availability of near health centers with COVID 19 treatment facilities.","PeriodicalId":186440,"journal":{"name":"2022 8th International Conference on Smart Structures and Systems (ICSSS)","volume":"185 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114049351","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

Classification of Hotel Reviews using Machine Learning Techniques 使用机器学习技术对酒店评论进行分类

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782215

Y. P. Reddy, S. Sagar, Rachakonda Pavan Kalyan, Nethi Sai Charan

{"title":"Classification of Hotel Reviews using Machine Learning Techniques","authors":"Y. P. Reddy, S. Sagar, Rachakonda Pavan Kalyan, Nethi Sai Charan","doi":"10.1109/ICSSS54381.2022.9782215","DOIUrl":"https://doi.org/10.1109/ICSSS54381.2022.9782215","url":null,"abstract":"The discussion and critique of products and services occur across various mediums, including the realm of social media. Reviews from previous customers offer a wealth of information about products, allowing shoppers to make pre-purchase product evaluations. Positive reviews are beneficial for a business because they can improve its reputation, attract new customers, and increase sales and profitability. Negative reviews impact businesses adversely but are just as important as a five-star rating. They provide opportunities to correct the issues to show potential clients that their opinions are cared for. Online reviews for hotels can be found on various websites. These opinions shared on social media platforms can shape the public's perception of the hotel. By using sentiment analysis and machine learning algorithms on existing hotel reviews, we create a classification system that can identify what the customer post on a hotel's website and thinks about the hotel. Logistic regression and Support Vector Machines (SVMs) were chosen as the classification algorithms. The classifiers are analyzed based on three criteria: accuracy, precision, and recall. The classifier with the best performance metrics is labelled the algorithm most suited for classifying hotel reviews.","PeriodicalId":186440,"journal":{"name":"2022 8th International Conference on Smart Structures and Systems (ICSSS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127818551","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: 2

Real Time Automatic Vehicle Monitoring System Using IoT 使用物联网的实时自动车辆监控系统

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782293

P. G, S. S, Thilakshanaa A, V. N, Chandraprabha S, Dineshkumar Ponnusamy

引用次数: 6

A Review on Demand Side Management: Definition, Scope, Challenges and Benefits 需求侧管理:定义、范围、挑战和利益综述

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782161

R. Premkumar, R. Shanmugasundaram, K. Thilak, Avvaru Nohit Venkata Seetha Sai Balaji

引用次数: 3

Smart Inverter Using Raspberry Pi 使用树莓派的智能逆变器

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782258

M. V, A. Parvathy

引用次数: 0

Design of High Speed, Low Power 16x16 Vedic Multiplier With Adiabatic Logic 采用绝热逻辑的高速、低功耗16x16倍频器的设计

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782274

K. Arunkumar, P. Mangayarkarasi, Beulah Jackson, A. A. Juliette

引用次数: 2

Computational Data Analysis, Prediction and Forecast of Health Disaster: A Machine Learning Approach 健康灾害的计算数据分析、预测和预报:一种机器学习方法

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782289

G. Sivaranjani, Gopirajan Pv, C. Gowdham, A. Abitha, N. V. Ravindhar

{"title":"Computational Data Analysis, Prediction and Forecast of Health Disaster: A Machine Learning Approach","authors":"G. Sivaranjani, Gopirajan Pv, C. Gowdham, A. Abitha, N. V. Ravindhar","doi":"10.1109/ICSSS54381.2022.9782289","DOIUrl":"https://doi.org/10.1109/ICSSS54381.2022.9782289","url":null,"abstract":"Objective of this study is to analyse the effectiveness of social distancing in reducing the risk of COVID-19, taking Spain as an example. Also, to study the influence of advanced enforcement of social distancing in Spain against the actual date of 14th March 2020. Computational models were developed (with Python programming) using data collected by web crawling using RCrawl using R-programming. The model predicted total cases and total deaths under the given conditions of advanced social distancing in 6 previous dates. Also, this model made a forecast of total cases and total deaths for the month of May. Results suggested that by 15th May 2020, the total cases may reach 337672. If the lockdown was imposed 6 days earlier the cases would be a mere 43083 only. Also, the total deaths will be reduced 82% effectively if the lockdown was imposed 6 days earlier. It can be concluded from the results, that enforcement of social distancing at the earlier stage of any pandemic disease spread is the only effective way to reduce the risk and contain the disaster.","PeriodicalId":186440,"journal":{"name":"2022 8th International Conference on Smart Structures and Systems (ICSSS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127716351","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

Curability Prediction Model for Anemia Using Machine Learning 基于机器学习的贫血可治愈性预测模型

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782233

Sasikala C, Ashwin M R, Dharanessh M D, D. M.

引用次数: 0

Environmental Monitoring and Control System for Greenhouse with Node MCU and GSM Using IoT Devices 基于物联网设备的节点MCU和GSM温室环境监测与控制系统

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782164

C. Kalaivani, G. G. S. S. Reddy, D. J. Reddy, G. Rajasekhar

{"title":"Environmental Monitoring and Control System for Greenhouse with Node MCU and GSM Using IoT Devices","authors":"C. Kalaivani, G. G. S. S. Reddy, D. J. Reddy, G. Rajasekhar","doi":"10.1109/ICSSS54381.2022.9782164","DOIUrl":"https://doi.org/10.1109/ICSSS54381.2022.9782164","url":null,"abstract":"The research work is to develop a brilliant nursery plant growth-boosting by maintaining the climate, humidity, moisture, and light control to develop plants. By utilizing a minimal expense more proficient programmable module to distinguish the climatic way of behaving inside the nursery and controlling the boundaries as indicated by their yield creation need, through different methods with the utilization of board ESP8266 Node MCU module. The boundaries that need streamlining are the water content of the dirt, the illumination power coming from the regular or fake origin, and the temperature and moistness of the field region. The plan proposes observing by soil dampness sensor, LDR sensor, temperature, and stickiness sensor; this large number of sensors gathered the information and given to the NodeMCU module, and afterward, after handling the information everyone of the boundaries is controlled through water siphon, engines, fumes framework, and light framework according to the information estimations. With the assistance of GSM Modem, the NodeMCU module is associated with the remote web association. They gathered natural boundaries information shipped off IoT Server i.e, ThinkSpeak","PeriodicalId":186440,"journal":{"name":"2022 8th International Conference on Smart Structures and Systems (ICSSS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126021045","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

Design of Engine Control Unit with Arduino Board for Unmanned Aerial Vehicles to control fuel flow 基于Arduino板的无人机发动机控制单元燃油流量控制设计

2022 8th International Conference on Smart Structures and Systems (ICSSS) Pub Date : 2022-04-21 DOI: 10.1109/ICSSS54381.2022.9782197

Jude Radhesh Siprian Fernando, Y. S., P. T, Vinyojita Mohanraj

引用次数: 0