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Student Number 91521009
Author Chao-Hsi Wang(王朝曦)
Author's Email Address No Public.
Statistics This thesis had been viewed 1463 times. Download 1083 times.
Department Electrical Engineering
Year 2003
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title A Neural Current Model to Estimate the Current Waveform of Power / Ground Line
Date of Defense 2004-07-07
Page Count 50
Keyword
  • current waveform
  • neural network
  • Abstract As IC process scale down, power supply is becoming small. Therefore, IC designer must consider the variation of power supply line that affects circuit operation. If we could know current information of power supply line in early design stage, then IC design may become fast and effective.
    Neural Network is good in estimation and Discrete Cosine Transform can translate irregular current waveform in time domain to regular form in frequency domain. Therefore, we propose a high-level model which combines Neural Network and DCT to reconstruct the current waveform of power supply line. The experiment shows it is possible to estimate current information in early design stage.
    Table of Content 摘要.......................................................... i
    致謝...........................................................ii
    論文目次...................................................... iii
    圖目錄........................................................ v
    表目錄........................................................ vii
    第1章 序論.................................................1
    1.1研究動機....................................................1
    1.2相關研究....................................................6
    1.3論文組織....................................................6
    第2章 理論的描述...........................................7
    2.1離散餘旋轉換(Discrete Cosine Transform)原理.................7
    2.1.1 理論描述.................................................7
    2.1.2 例子說明.................................................9
    2.2 類神經網路(Neural Network)原理.............................10
    2.2.1 序論.....................................................10
    2.2.2 生物神經元 vs 人工神經元.................................10
    2.2.3 類神經網路的特性與分類...................................13
    2.2.4 類神經網路的基本架構.....................................16
    2.2.5 倒傳遞網路的原理描述.....................................19
    第3章類神經電流模型........................................23
    3.1 離散餘旋轉換(Discrete Cosine Transform)的應用..............24
    3.2 參數的設定與重建方程式.....................................25
    3.3 類神經網路的建構與類神經網路輸入向量的特徵化...............26
    3.4 類神經網路的效能評估與時間域上電流波形的重建...............30
    第4章 實驗的結果與討論.....................................32
    第5章 結論.................................................39
    參考文獻.......................................................40
    Reference [1] N. H. E. Weste and K. Eshraghian , "Principles of CMOS VLSI Design--A   System Perspective" , 2nd Edition , 1993 , AT&T
    [2] Wayne Wolf, Wayne Hendrix Wolf , “Modern VLSI Design” , Prentice Hall 2nd edition , (July 1, 1998)
    [3] Sachio Hayashi and Masaaki Yamada , “EMI-Noise Analysis Under ASIC Design
    Environment” , IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS , VOL. 19 , NO. 11 , NOVEMBER 2000 Pages:1337 - 1346
    [4] Sudo, T. ; Ko, Y. ; Sakaguchi, S. and Tokumaru, T. , “Electromagnetic radiation and simultaneous switching noise in a CMOS device packaging” , Electronic Components and Technology Conference, 2000. 2000 Proceedings. 50th , 21-24 May 2000 Pages:781 - 785
    [5] Jyh Herng Wang , Jeng Ten Fan , Wu Shiung Feng , ”A NOVEL CURRENT MODEL FOR CMOS GATE”, Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on , Volume: 5 , 3-6 May 1992 , Pages:2132 - 2135 vol.5
    [6] Srinivas Bodapati , Farid N. Najm , “High-Level Current Macro-Model For Power-Grid Analysis” , DAC 2002 , June 10-14 , 2002
    [7] Srinivas Bodapati , Farid N. Najm , “FrequencyDomain Supply Current MacroModel” , ISLPED’01 , August 67 , 2001
    [8] Qinru Qiu , Qing Wu , Pedram, M. and Chih-Shun Ding , “Cycle-accurate macro-models for RT-level power analysis” , Low Power Electronics and Design , 1997. Proceedings. , 1997 International Symposium on ,18-20 Aug.1997 Pages:125 - 130
    [9] 黃興銘,“高安全性的數位影像浮水印技術研究”,高雄第一科技大學電腦與通訊工程系碩士論文,民88
    [10] Boaz Porat , “A Course in Digital Signal Processing” , John Wiley & Sons , 1996
    [11] 薛文燦,“類神經網路應用於高階功率模型之研究”,中央電機所電子組碩士論文,2003
    [12] Simon Haykin , Neural Networks : A Comprehensive Foundation , Prentice Hall
    International Editions, 1999
    [13] 林昇甫,神經網路入門與圖樣辨識,全華,民82
    [14] 葉怡成,類神經網路模式應用與實作,儒林書局,2000
    [15] Anderson , Sweeney ,Williams , “統計學 (觀念與方法)” ,中文第三版,滄海書局,民83
    Advisor
  • Chien-Nan Liu(劉建男)
  • Files
  • 91521009.pdf
  • approve immediately
    Date of Submission 2004-07-16

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