物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053535

K. Santhosh, KALAGOTLA CHENCHIREDDY, Pulluri Vaishnavi, A. Greeshmanth, V. Kumar, Police Nandakishore Reddy

引用次数: 5

Performance Analysis of Base and Meta Classifiers and the Prediction of Cardiovascular Disease using Ensemble Stacking 基础分类器和元分类器的性能分析及使用集合堆叠预测心血管疾病

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053464

Veena Kumari H M, Suresh D S

{"title":"Performance Analysis of Base and Meta Classifiers and the Prediction of Cardiovascular Disease using Ensemble Stacking","authors":"Veena Kumari H M, Suresh D S","doi":"10.1109/IDCIoT56793.2023.10053464","DOIUrl":"https://doi.org/10.1109/IDCIoT56793.2023.10053464","url":null,"abstract":"According to World Health Organization, heart disease is the principal cause of death. In the medical domain, to improve diagnosis accuracy researchers have introduced several data mining techniques for the prediction of cardiovascular diseases. The aim of the proposed research is that prediction of heart disease more precisely using an ensemble stacking model which is based on the mixing of heterogeneous classifiers. The research article consists of major two parts. First, analysis on choosing of best meta classifier with a different set of base classifiers and secondly, prediction using an ensemble framework. The experimental end prediction compared with other data mining algorithms. Further, the performance analysis is carried out by accuracy, precision, and recall and f1 score. Better analysis was done by ROC, P_R curve, and AUC. Analysis of the ensemble result shows that Ensemble techniques give better accuracy of 90.16% for testing dataset. Precision, Recall and f1 scores for 92%, 85% and 88% for the classification of sick patients, whereas 89%, 94% and 91 % for healthy patients. The AUC is 0.88 for the heart disease dataset.","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"24 1","pages":"584-589"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74796604","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

Implantable Smart Devices for Remote Health Monitoring to Detect Hypo/Hyperglycaemia 用于远程健康监测检测低血糖/高血糖的植入式智能设备

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053411

Ramya Palaniappan, S. R, Suseendran Surendran

{"title":"Implantable Smart Devices for Remote Health Monitoring to Detect Hypo/Hyperglycaemia","authors":"Ramya Palaniappan, S. R, Suseendran Surendran","doi":"10.1109/IDCIoT56793.2023.10053411","DOIUrl":"https://doi.org/10.1109/IDCIoT56793.2023.10053411","url":null,"abstract":"Hypoglycemia / Hyperglycemia is a long-term metabolic disorder in which the Blood Glucose (BG) level of the patient is low or high than the standard range. High blood glucose level if untreated can cause heart disease, stroke, blindness, kidney failure and amputation of toes, feet or legs. The Internet of Medical Things(IoMT) is the amalgamation of the information from medical devices and medical software applications that connects healthcare IT systems seamlessly. Remote Health Monitoring System (RHMS) is the process of making use of the technology for providing medical services to the patients in non-clinical environment. In situations where the patients cannot reach the clinical environment, RHMS when incorporated will aid the healthcare professionals to deliver personalized treatment for the patients. In this study, IoMT enabled Continuous Glucose Monitoring (CGM) system enables continuous automated monitoring of blood glucose(BG) levels of the patients at regular intervals. This reduces the burden of measuring the BG levels and recording the results manually for further follow up. This continuous monitoring environment can send alerts to the patients and or to the clinicians when the BG levels are out of the normal range. This CGM system will be beneficial for the clinicians to alert Individuals about the upcoming health complications and recommend quality lifestyle for them to stay healthy. Yellow Springs Instrument’s (YSI) BG readings are used to compare the proposed CGM system’s performance in terms of Mean Absolute Relative Difference (MARD). Additionally, the challenges and threats associated with constructing the IoMT ecosystem were highlighted, as well as potential solutions.","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"30 1","pages":"888-896"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74200316","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

Minimization of Power Losses in the Distribution System by Controlling Tap Changing Transformer using the PSO Algorithm 用粒子群算法控制分接变换变压器使配电系统的功率损耗最小

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053479

Chodagam Srinivas, V. Bhargavi, Nallagangula Srinu Babu, Paluri Harika, Pathula Kranthi

{"title":"Minimization of Power Losses in the Distribution System by Controlling Tap Changing Transformer using the PSO Algorithm","authors":"Chodagam Srinivas, V. Bhargavi, Nallagangula Srinu Babu, Paluri Harika, Pathula Kranthi","doi":"10.1109/IDCIoT56793.2023.10053479","DOIUrl":"https://doi.org/10.1109/IDCIoT56793.2023.10053479","url":null,"abstract":"Earlier, power consumption was very low, and people were also less aware of electronic devices. Most people prefer natural methods for cooking, washing, grinding, ironing clothes, and other tasks. Recently, power consumption is increasing as the number of consumers in the distribution system increases. AC, washing machines, fans, TVs, rice cookers, refrigerators, and other appliances were in high demand. When fans, TVs, cooking, gadgets, and washing machines are used during the day, the load requirement is higher than when they are used at night. As a result of the uncertainty in demand, power losses and low voltage will occur. The primary goal of this research work is to reduce distribution system power losses by optimizing the tapings of the distribution transformer using the PSO algorithm and also achieve power compensation by locating the DG and capacitor banks, and results are analyzed by using MATLAB software. The backward forward sweep technique has been adapted to identify voltage levels of buses in the system, and the proposed approach was then examined on the IEEE 15 bus system.","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"182 1","pages":"740-745"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77588565","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

Smart Travel Planner using Hybrid Model 使用混合模式的智能旅行计划

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053424

Suresh Babu Dasari, V. Vandana, A. Bhharathee

引用次数: 0

A Probabilistic Model Checking (PMC) Approach to Solve Security Issues in Digital Twin (DT) 一种解决数字孪生(DT)安全问题的概率模型检验(PMC)方法

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053389

Eman Shaikh, Nazeeruddin Mohammad, Abdulrahman Al-Ali, Shahabuddin Muhammad

引用次数: 0

Renewable Energy Source Fed Multilevel Inverter 可再生能源馈源多电平逆变器

物联网技术 Pub Date : 2023-01-05 DOI: 10.1109/IDCIoT56793.2023.10053486

Ankanthi Manjula, Manish Palepu, Naveen Karnekanti, Saikiranreddy Gogireddy, Chandan Kumar Chiguru