{"title":"基于梯形法的改进四阶龙格-库塔法","authors":"A. Nurhakim, N. Ismail, H. Saputra, Saepul Uyun","doi":"10.1109/ICWT.2018.8527811","DOIUrl":null,"url":null,"abstract":"This paper analyzes the modification of fourth order Runge-Kutta Method based on Trapezoid approach for calculating a distance of accelerometer sensor. This modification is done to obtain the fourth-order Runge-Kutta method to calculate a more accurate and precise position. In this research, we compared the result between original fourth-order Runge-Kutta Method and modified fourth-order Runge-Kutta Method. We also compared the accuracy and precision of those methods. The result shows that modified fourth-order Runge-Kutta Method has a better accuracy and precision. Original fourth-order Runge-Kutta Method has an average inaccuracy value of 4.93%, and modified fourth-order Runge-Kutta Method has an average inaccuracy value of 4.11%. Meanwhile, for the precision level, original fourth-order Runge-Kutta Method has average imprecision value of 32.52%, and modified fourth-order Runge-Kutta Method has average imprecision value of 29.66%.","PeriodicalId":356888,"journal":{"name":"2018 4th International Conference on Wireless and Telematics (ICWT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Modified Fourth-Order Runge-Kutta Method Based on Trapezoid Approach\",\"authors\":\"A. Nurhakim, N. Ismail, H. Saputra, Saepul Uyun\",\"doi\":\"10.1109/ICWT.2018.8527811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the modification of fourth order Runge-Kutta Method based on Trapezoid approach for calculating a distance of accelerometer sensor. This modification is done to obtain the fourth-order Runge-Kutta method to calculate a more accurate and precise position. In this research, we compared the result between original fourth-order Runge-Kutta Method and modified fourth-order Runge-Kutta Method. We also compared the accuracy and precision of those methods. The result shows that modified fourth-order Runge-Kutta Method has a better accuracy and precision. Original fourth-order Runge-Kutta Method has an average inaccuracy value of 4.93%, and modified fourth-order Runge-Kutta Method has an average inaccuracy value of 4.11%. Meanwhile, for the precision level, original fourth-order Runge-Kutta Method has average imprecision value of 32.52%, and modified fourth-order Runge-Kutta Method has average imprecision value of 29.66%.\",\"PeriodicalId\":356888,\"journal\":{\"name\":\"2018 4th International Conference on Wireless and Telematics (ICWT)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Wireless and Telematics (ICWT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWT.2018.8527811\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Wireless and Telematics (ICWT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWT.2018.8527811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modified Fourth-Order Runge-Kutta Method Based on Trapezoid Approach
This paper analyzes the modification of fourth order Runge-Kutta Method based on Trapezoid approach for calculating a distance of accelerometer sensor. This modification is done to obtain the fourth-order Runge-Kutta method to calculate a more accurate and precise position. In this research, we compared the result between original fourth-order Runge-Kutta Method and modified fourth-order Runge-Kutta Method. We also compared the accuracy and precision of those methods. The result shows that modified fourth-order Runge-Kutta Method has a better accuracy and precision. Original fourth-order Runge-Kutta Method has an average inaccuracy value of 4.93%, and modified fourth-order Runge-Kutta Method has an average inaccuracy value of 4.11%. Meanwhile, for the precision level, original fourth-order Runge-Kutta Method has average imprecision value of 32.52%, and modified fourth-order Runge-Kutta Method has average imprecision value of 29.66%.