{"title":"Power evaluation of Sobel filter on Xilinx platform","authors":"T. K. Hong Nguyen, C. Belleudy, T. V. Pham","doi":"10.1109/FTFC.2014.6828607","DOIUrl":null,"url":null,"abstract":"Power consumption in programmable devices has become a primary factor in design flow. Among the main concerns of power consumption, application performance, battery life, thermal challenges, or reliability, power consumption is crucial in FPGA designs for powered battery equipment. In this paper, we study the FPGA-based design for Sobel Edge Detection algorithm for low cost fall detector and we present an accurate evaluation of dynamic power estimation and real-time measurement. Our work uses Root Mean Square Error index to evaluate the accuracy rate between estimated and measured power consumption... This application is implemented on low-power Zynq-7000 AP SoC family.","PeriodicalId":138166,"journal":{"name":"2014 IEEE Faible Tension Faible Consommation","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Faible Tension Faible Consommation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FTFC.2014.6828607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Power consumption in programmable devices has become a primary factor in design flow. Among the main concerns of power consumption, application performance, battery life, thermal challenges, or reliability, power consumption is crucial in FPGA designs for powered battery equipment. In this paper, we study the FPGA-based design for Sobel Edge Detection algorithm for low cost fall detector and we present an accurate evaluation of dynamic power estimation and real-time measurement. Our work uses Root Mean Square Error index to evaluate the accuracy rate between estimated and measured power consumption... This application is implemented on low-power Zynq-7000 AP SoC family.
可编程器件的功耗已成为设计流程中的主要因素。在功耗、应用性能、电池寿命、热挑战或可靠性等主要问题中,功耗在动力电池设备的FPGA设计中至关重要。本文研究了基于fpga的低成本跌落检测器的Sobel边缘检测算法设计,并给出了准确的动态功率估计和实时测量评估。我们的工作使用均方根误差指数来评估估计和测量功耗之间的准确率。本应用在低功耗Zynq-7000 AP SoC系列上实现。