电池供电嵌入式系统稳定的高阶能量估计方法

R. Ren, E. Juárez, F. Pescador, C. Sanz
{"title":"电池供电嵌入式系统稳定的高阶能量估计方法","authors":"R. Ren, E. Juárez, F. Pescador, C. Sanz","doi":"10.1109/ISCE.2012.6241689","DOIUrl":null,"url":null,"abstract":"In this paper, a methodology which aims to solve the accuracy susceptibility problem in PMC-driven energy estimation models is developed. The application characteristics representativeness of PMCs and training benchmarks to generate an accurate and stable energy estimation model are considered. The results show a good accuracy and stability with average relative error of 4.8%.","PeriodicalId":6297,"journal":{"name":"2012 IEEE 16th International Symposium on Consumer Electronics","volume":"os-41 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A stable high-level energy estimation methodology for battery-powered embedded systems\",\"authors\":\"R. Ren, E. Juárez, F. Pescador, C. Sanz\",\"doi\":\"10.1109/ISCE.2012.6241689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a methodology which aims to solve the accuracy susceptibility problem in PMC-driven energy estimation models is developed. The application characteristics representativeness of PMCs and training benchmarks to generate an accurate and stable energy estimation model are considered. The results show a good accuracy and stability with average relative error of 4.8%.\",\"PeriodicalId\":6297,\"journal\":{\"name\":\"2012 IEEE 16th International Symposium on Consumer Electronics\",\"volume\":\"os-41 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 16th International Symposium on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2012.6241689\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 16th International Symposium on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2012.6241689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文提出了一种解决pmc驱动的能量估计模型精度敏感性问题的方法。考虑了pmc的应用特点、代表性和训练基准,以生成准确稳定的能量估计模型。结果表明,该方法具有良好的准确度和稳定性,平均相对误差为4.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A stable high-level energy estimation methodology for battery-powered embedded systems
In this paper, a methodology which aims to solve the accuracy susceptibility problem in PMC-driven energy estimation models is developed. The application characteristics representativeness of PMCs and training benchmarks to generate an accurate and stable energy estimation model are considered. The results show a good accuracy and stability with average relative error of 4.8%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信