Effect of Current Injection Patterns on Dynamic Electrical Resistance Imaging for Fast Transient Processes

Sin Kim, U. Ijaz, A. K. Khambampati, K. Kim, M. C. Kim
{"title":"Effect of Current Injection Patterns on Dynamic Electrical Resistance Imaging for Fast Transient Processes","authors":"Sin Kim, U. Ijaz, A. K. Khambampati, K. Kim, M. C. Kim","doi":"10.1109/ICSENS.2007.355516","DOIUrl":null,"url":null,"abstract":"In the application of the electrical resistance tomography (ERT) to processes undergoing rapid transient, the conventional static image reconstruction approaches are not successful since the internal conductivity distribution may change during the time taken to acquire a full set of the induced voltages by the injected currents. Hence, the dynamic image reconstruction algorithm has been introduced to reconstruct the tomogram without the full set of data, in principle even with a single pair of current-voltage data. Although the pre-determined current injection protocol plays an important role in the image reconstruction performance, analyses of the effect of current injection patterns on the reconstruction performance have not been performed rigorously. This paper will report the consequences of various current injection protocols and investigates their influence on the reconstruction performance from the view point of the reconstruction error and the temporal resolution.","PeriodicalId":233838,"journal":{"name":"2006 5th IEEE Conference on Sensors","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 5th IEEE Conference on Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENS.2007.355516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In the application of the electrical resistance tomography (ERT) to processes undergoing rapid transient, the conventional static image reconstruction approaches are not successful since the internal conductivity distribution may change during the time taken to acquire a full set of the induced voltages by the injected currents. Hence, the dynamic image reconstruction algorithm has been introduced to reconstruct the tomogram without the full set of data, in principle even with a single pair of current-voltage data. Although the pre-determined current injection protocol plays an important role in the image reconstruction performance, analyses of the effect of current injection patterns on the reconstruction performance have not been performed rigorously. This paper will report the consequences of various current injection protocols and investigates their influence on the reconstruction performance from the view point of the reconstruction error and the temporal resolution.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
电流注入模式对快速瞬态过程动态电阻成像的影响
在将电阻层析成像(ERT)应用于快速瞬态过程时,传统的静态图像重建方法并不成功,因为内部电导率分布可能在注入电流获得全套感应电压所需的时间内发生变化。因此,引入动态图像重建算法,在没有全套数据的情况下重建层析图,原则上即使只有单对电流-电压数据。虽然预先确定的电流注入方案在图像重建性能中起着重要作用,但目前还没有严格分析电流注入方式对重建性能的影响。本文将报道当前各种注入方案的后果,并从重建误差和时间分辨率的角度研究它们对重建性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Smart microplates: integrated photodiodes for detecting bead-based chemiluminescent reactions Novel Biomolecular Finger Printing with an Active Dual-Band Antenna Biosensor Flexible Multimodal Tactile Sensing System for Object Identification Transferrin Electronic Detector for Iron Disease Diagnostics Staggered Sampling for Energy Efficient Data Collection
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1