English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 49378/84106 (59%)
造訪人次 : 7367133      線上人數 : 58
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/104571


    題名: Microwave Imaging for Half-space Imperfect Conductors
    作者: Lee, Yang-Han;Cheng, Yu-Ting;Chiu, Chien-Ching;Chang, Shuo-Peng
    關鍵詞: inverse scattering;frequency-domain;self-adaptive dynamic differential evolution;particle swarm optimisation
    日期: 2015-01-22
    上傳時間: 2016-01-06 11:03:26 (UTC+8)
    出版者: Taylor & Francis
    摘要: This article presents an inverse scattering problem for recovering the shape and conductivity of an imperfect conductor buried in a half space by self-adaptive dynamic differential evolution (SADDE). The imperfect conductor of unknown conductivity and shapes is buried in one half-space and illuminated by the transverse magnetic plane wave from the other half-space. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equation is derived and the imaging problem is reformulated into optimisation problem. The SADDE algorithm is employed to find out the global extreme solution of the object function. Numerical results show that the conductivity and the shape of the conductor are well reconstructed. Moreover, the shape function is more sensitive to the scattered field variation than the conductivity. Accurate reconstruction of the shape function can be obtained by using the novel optimisation algorithm. As a result, the electric conductivity can be computed more accurately.
    關聯: Nondestructive Testing and Evaluation 30(1), pp.49-62
    DOI: 10.1080/10589759.2014.992430
    顯示於類別:[電機工程學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML85檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋