2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)最新文献_第9页

Beat: Heart Monitoring Application 心跳:心脏监测应用

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/icced56140.2022.10010370

Afif Fanshuri Shamsolnizam, Iskandar Zulkarnain Basri, N. A. Zakaria, T. Tajuddin, Z. Suryady

{"title":"Beat: Heart Monitoring Application","authors":"Afif Fanshuri Shamsolnizam, Iskandar Zulkarnain Basri, N. A. Zakaria, T. Tajuddin, Z. Suryady","doi":"10.1109/icced56140.2022.10010370","DOIUrl":"https://doi.org/10.1109/icced56140.2022.10010370","url":null,"abstract":"Cardiovascular Diseases (CVD) is a heart and blood disorderthat affects people globally. CVD can be chronic if there is no earlyprevention. Our heart monitoring application, Beat is apersonalized heart rate detector using smartphones andsmartwatches that aims to assist in preventing CVD through themonitoring of heart rate. Machine learning algorithms were alsoincorporated into the application. This project shows that theusage of heart rate monitors can be used not only for sports butalso in medical fields by alerting heart patients contacts wheneverabnormal heart rates are detected. Beat application is a simple, accurate, and low-cost system that uses a smartwatch to detectheart rate and analyze the data on the user's smartphones. Machine learning algorithms were also developed by our team todetect abnormalities in heart rate. This product is suitable for thepublic especially for the elderly and for patients with heart disease. Therefore, a portable and low-cost health monitor device isachievable without the need for expensive hospital equipment, justby using a smartwatch and this application.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123262395","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

Comparative Performance of Convolutional Neural Networks Architecture for Face Biometric Authentication System 卷积神经网络结构在人脸生物识别认证系统中的性能比较

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010512

Noor Azwana Mat Ariff, Amelia Ritahani Ismail, Normaziah Abdul Aziz

引用次数: 0

IoT–based tire pressure monitoring system for air and temperature pressure using MPX5500D and LM35 sensor 基于物联网的轮胎气压监测系统，采用MPX5500D和LM35传感器进行空气和温度压力监测

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/icced56140.2022.10010355

A. Pangestu, Iing Sodikin, M. Yusro, R. Sapundani, Rosyid Ridlo Al Hakim, Sinka Wilyanti

{"title":"IoT–based tire pressure monitoring system for air and temperature pressure using MPX5500D and LM35 sensor","authors":"A. Pangestu, Iing Sodikin, M. Yusro, R. Sapundani, Rosyid Ridlo Al Hakim, Sinka Wilyanti","doi":"10.1109/icced56140.2022.10010355","DOIUrl":"https://doi.org/10.1109/icced56140.2022.10010355","url":null,"abstract":"Research has been carried out to monitor vehicle tires before they are used and can reduce damage, including overcoming vehicle fuel waste because air pressure is continuously monitored. This research aims to utilize the MPX5500DP sensor as an air pressure device, the LM35 sensor as a temperature reader, and a buzzer based on IoT to build a tire pressure monitoring system (TPMS). The MPX5500DP and LM35 sensor inputs to the Arduino Uno microcontroller are distributed by the NodeMCU, fitted with a Wi-Fi module. The Blynk application sends and displays the data on a smartphone using the IoT-based. Based on this research, data on the percentage of errors in monitoring air pressure and tire temperature on vehicles were obtained by comparing the data to the pressure gauge and thermometer: 1—the results of the average reading of the sensor error value. MPX5500DP air pressure against pressure gauge is 5.3%. 2—the average reading of the LM35 sensor error value on the temperature thermometer is 6.8%. With this research, the air pressure and temperature in the tires can be monitored in real-time via a smartphone using the IoT-based.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132388683","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 Comparative Study of Different Boosting Algorithms for Predicting Olympic Medal 奥运奖牌预测不同提升算法的比较研究

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/ICCED56140.2022.10010351

Noviyanti T M Sagala, Muhammad Amien Ibrahim

{"title":"A Comparative Study of Different Boosting Algorithms for Predicting Olympic Medal","authors":"Noviyanti T M Sagala, Muhammad Amien Ibrahim","doi":"10.1109/ICCED56140.2022.10010351","DOIUrl":"https://doi.org/10.1109/ICCED56140.2022.10010351","url":null,"abstract":"Predicting whether an athlete is likely to win a medal in the Olympic games is new. The studies on Olympic Games are mostly trying to predict the total medals of a nation possible to achieve or a country’s performance by applying statistics approaches. Some works even expand the data utilized for medal predicting by including more years and predictor factors such as country host as well as increasing the level of data granularity. Machine learning, in particular boosting algorithms, has had a massive influence in improving the accuracy of prediction models. To accurately classify an athlete, three different machine learning approaches can be utilized. In this study, three separate boosting algorithms, namely Light Gradient Boosting Machine (LightGBM), extreme Gradient Boosting (XGBoost), and Category Boosting (CatBoost) are evaluated using Olympic historic dataset, first with default parameters, then with hyperparameters by applying Grid Search algorithm. Four different types of performance evaluation metrics were computed with 5-fold Cross-Validation (CV) approach. The best results were obtained with the XGBoost approach on hyperparameters, achieving an accuracy of above 90%, a precision of 96.8%, and a recall of 83.2%.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132374314","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

Building Equivalent Static Earthquake Loading Based on RSA Soil Data and Sondir 基于RSA土数据和Sondir的建筑等效静力地震荷载

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/icced56140.2022.10010463

Paikun Paikun, Dede Fauzi Fitrullatif, Dicki Gustaman, M. Hidayat, Nauval Aziz, Marwahyudi Marwahyudi

{"title":"Building Equivalent Static Earthquake Loading Based on RSA Soil Data and Sondir","authors":"Paikun Paikun, Dede Fauzi Fitrullatif, Dicki Gustaman, M. Hidayat, Nauval Aziz, Marwahyudi Marwahyudi","doi":"10.1109/icced56140.2022.10010463","DOIUrl":"https://doi.org/10.1109/icced56140.2022.10010463","url":null,"abstract":"Calculation of earthquake loads so far using soil data input from sonder test results refers to the provisions of SNI 1726:2002, while in the current digital era there is a soil detection-based application, namely Response Spectrum Application (RSA) or Indonesian Spectrum Design referring to the provisions of SNI 1726:2019. Based on the differences in the data sources, it is necessary to know whether the results of the earthquake load analysis will be the same or different. This study aims to compare the planning analysis of earthquake loads in high-rise buildings with specifications for reinforced concrete structures using the Equivalent Static Analysis method. Soil data used is the response spectrum data from sonder test results, and the website Indonesian Spectra Response Design or RSA. The results of the analysis show that the earthquake load will be greater on the higher floors. Earthquake load based on analysis of ground sonder data was 23.38% higher on average compared to the results of RSA data analysis. The difference in earthquake loads will affect the difference in the dimensions of the structure, therefore the dimensions of the earthquake-resistant building structure based on the analysis of the soil sonder will be larger, so the building that has been standing since 2002 can be declared safe. Analysis of earthquake loads based on RSA data is easier and more practical, but the results are not yet able to determine the dimensions of the foundation and the depth of the foundation.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124340081","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

Thermal Management for Brushless DC (BLDC) Motor 120KW 热管理无刷直流(BLDC)电机120KW

2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED) Pub Date : 2022-07-28 DOI: 10.1109/icced56140.2022.10010519

Muhamad Rayhan Ramji, N. Ismail

{"title":"Thermal Management for Brushless DC (BLDC) Motor 120KW","authors":"Muhamad Rayhan Ramji, N. Ismail","doi":"10.1109/icced56140.2022.10010519","DOIUrl":"https://doi.org/10.1109/icced56140.2022.10010519","url":null,"abstract":"Thermal management in BLDC motors is highly important, because the heat in the motor, especially in the rotor and stator if it is not channeled properly, it causes bad effects for the motor, such as magnetic demagnetization, insulation degradation and decreased motor performance. Therefore, it is important to regulate the heat flow in the stator and rotor, so that the motor can operate optimally. In this study, several variables will be modeled starting from power losses in the stator and rotor, thermal resulting from stator and rotor losses, and cooling system design.. This paper discusses thermal management through simulation of losses, thermal, and cooling systems on a motor BLDC 120KW. Simulations are carried out with software for motors based on Finite Element Method (FEM) on motor BLDC 120KW. The simulation on the motor produces a total losses of 4.649W with maximum current and voltage input. The goal given the maximum input is to find out the maximum losses generated by the motor in 30 rotation steps. The maximum heat generated from this motor reaches 932°C. After applying a specially designed cooling, by combining liquid and wind fluids, the maximum motor temperature is 77°C with a water speed setting in the motor cover of 18.56 m/s.","PeriodicalId":200030,"journal":{"name":"2022 IEEE 8th International Conference on Computing, Engineering and Design (ICCED)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126604763","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