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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電子工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64356
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳中平(Chung-Ping Chen)
dc.contributor.authorPei-Chun Linen
dc.contributor.author林沛諄zh_TW
dc.date.accessioned2021-06-16T17:42:31Z-
dc.date.available2015-08-19
dc.date.copyright2012-08-19
dc.date.issued2012
dc.date.submitted2012-08-14
dc.identifier.citation[1] Chris A. Mack, “Lithographic Simulation: A Review,” in Proc. SPIE, Vol. 4440 Lithographic and Micro-machining Techniques for Optical Component Fabrication, No. 59, p. 53-72, 2001.
[2] Ming-Fong Tsai, 'Abbe-PCA: Compact Abbe’s Kernel Generation for Micro lithography Aerial Image Simulation using Principal Components Analysis.' Master Thesis, National Taiwan University, 2009.
[3] (2009). [iPhone]Apple iPhone與Google Android比較. Available: http://wesker.pixnet.net/blog/post/29818357
[4] T. TaiDoc, 'TaiDoc Interface Control Document 'TICD-TD3250C',' 1.0 ed, 2008.
[5] Dusit Thanapatay, Chaiwat Suwansaroj. 'ECG beat classification method for ECG printout with Principle Components Analysis and Support Vector Machines.' 2010 International Conference on Electronics and Information Engineering (ICEIE 2010).
[6] Wiki: http://en.wikipedia.org/wiki/Electrocardiography
[7] www.drguide.mohp.gov.eg
[8] http://www.thelancetstudent.com/wp-content/uploads/2008/03/witham.pdf
[9] 熊明旺, '實用心電圖判斷指南' ,1997,pp.1-121.
[10] Yuan-ting Wu, 'Integrating Support Vector Machine into intelligent ECG health care system ', M.S. thesis, National Taiwan University, Taipei, June 2011
[11] Wai Kei Lei, Ming Chui Dong, Jun Shi and Bin Bin Fu. “Automatic ECG Interpretation via Morphological Feature Extraction and SVM Inference Nets” Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on. 2008.
[12] S. Osowski, and T. H. Linh, “ECG beat recognition using fuzzy hybrid neural network,” IEEE Trans. Biomedical Engineering, vol. 48, no. 11, pp. 1265-1271, Nov. 2001.
[13] M. Engin, “ECG beat classification using neuro-fuzzy network,” Pattern Recogn. Letters, vol.25, pp.1715-1722, 2004.
[14] S. Osowski, L. T. Haoi, and Markiewicz, “Support vector machine-based expert system for reliable heartbeat recognition,” IEEE Trans. Biomedical Engineering, vol.51, no.4, pp.582-589, Apr. 2004.
[15] Chris A. Mack, 'Fundamental Principles of Optical Lithography:The Science of Microfabrication ,' John Wiley & Sons, 2007.
[16] Mark R, Moody G. 'MIT-BIH Arrhythmia Database Directory'. Cambridge: MA:MIT. Available: http://www.physionet.org/physiobank/database/mitdb/ [online]
[17] Szu-Kai Lin, 'An Efficient Contour Generation Algorithm for Micro-lithography Aerial Image.', M.S. Thesis, National Taiwan University, 2009.
[18] Frederick H. DILL, William P. Hornberger, Peter S. Hauge and Jane M. Shaw, 'Characterization of Positive Photoresist,' IEEE Trans. Electr. Dev., ED-22(7), p.445, 1975.
[19] D. J. Kim, W. G. Oldham and A. R. Neureuther, 'Development of Positive Photoresist,' IEEE Trans. Electr. Dev., ED-31(12), p. 1730, (1984).
[20] David H. Fitchett, MD, Pierre Theroux, MD, James M. Brophy, MD, PhD, Warren J. Cantor, MD, Jafna L. Cox, MD, Milan Gupta, MD, Heather Kertland, PharmD, Shamir R. Mehta, MD, MSc, Robert C. Welsh, MD and Shaun G. Goodman, MD, MSc ' Assessment and Management of Acute Coronary Syndromes (ACS): A Canadian Perspective on Current Guideline-Recommended Treatment – Part 2: ST-Segment Elevation Myocardial Infarction ' Canadian Journal of Cardioilogy, 2011
[21] C. A. Mack, 'Development of Positive Photoresists.'J. The Electrochem Society. Soc.: Solid-State Sci. and Tech., 134(1), p. 148, (1987).
[22] C. A. Mack, 'New Kinetic Model for Resist Dissolution,'J. The Electrochem Society. Soc., 139(4), p. L35, (1992).
[23] Heinrich Kirchauer, 'Photo-lithography Simulation.' PhD thesis, TU Vienna, 1998.
[24] Hsih-Chie Chang, 'Microlithography Hierarchical Source and Mask Optimization using Abbe-PCA.' Master Thesis, National Taiwan University, 2010.
[25] Yi-Chuan Lou, ' The Application and Analysis of Microlithography Image Simulation and Sub Resolution Assist Feature with HSMO. ' Master Thesis, National Taiwan University, 2011.
[26] Walker, E.J., 'Reduction of photoresist standing-wave effects by post-exposure bake', IEEE Transactions on Electron Devices, ED-22, 464–466, 1975.
[27] Y.K.Lee and Kelvin Hoon' Brown Motion :The Research Goes on...' http://www.doc.ic.ac.uk/~nd/surprise_95/journal/vol4/ykl/report.html
[28] IBM: Lithography Materials: Chemically Amplified Resists http://researcher.watson.ibm.com/researcher/view_project_subpage.php?id=3662
[29] H. Ito' chemical amplified resists history and development in IBM ' IBM J. RES. DEVELOP., VOL. 44 ,2000
[30] S. Tagawa et al. 'Radiation and photochemistry of onium salt acid generators in chemically amplified resists'. Proc. SPIE, 2000.
[31] Wang, Xue-Bin. Ferris, Kim; Wang, Lai-Sheng. 'Photodetachment of Gaseous Multiply Charged Anions, Copper Phthalocyanine Tetrasulfonate Tetraanion: Tuning Molecular Electronic Energy Levels by Charging and Negative Electron Binding'. The Journal of Physical Chemistry A, 2000.
[32] Crank, J. Nicolson, P. 'A practical method for numerical evaluation of solutions of partial differential equations of the heat conduction type'. Proc. Camb. Phil. Soc. 43, 1947.
[33] Courant, R.;Friedrichs, K.; Lewy, H. ' Uber die partiellen Differenzengleichungen der mathematischen Physik ' ( in German ), Mathematische Annalen,1928.
[34] J. Sylvester, 'Sur l’equations en matrices px=xq', C.R. Acad. Sci. Paris, 99 ,1884.
[35] R. H. Bartels and G. W. Stewart, ' Solution of the Matrix Equation AX + XB = C ', Comm. ACM, 15 ,1972.
[36] G. BICKLEY and J. McNAMEE ,'MATRIX AND OTHER DIRECT METHODS FOR THE SOLUTION OF SYSTEMS OF LINEAR DIFFERENCE EQUATIONS ' Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 1958.
[37] Yong Zhan and Sachin S. Sapatnekar, 'A High Efficiency Full-Chip Thermal Simulation Algorithm ' ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design ,2005
[38] Alfred Kwok Kit Wong, 'Optical Imaging in Projection Micro-lithography.' SPIE Press, 2005.
[39] Jin-Back PARK, Sung-Hyuck KIM, Sung-Jin KIM, Jung-Hyuk CHO, and Hye-Keun OH, 'Acid Diffusion Length Corresponding to Post Exposure Bake Time and Temperature .' Japanese Journal of Applied Physics, 2007.
[40] http://www.cvphysiology.com/Arrhythmias/A009.htm
[41] Ronald N. Bracewell, ' The Fourier Transform & Its Applications , ' McGraw-Hill International Editions Electrical Engineering Series, 1999.
[42] Stephane Mallat, 'A wavelet tour of signal processing' 2nd Edition, Academic Press, 1999.
[43] Norden E. Huang, Zheng Shen, and Steven R. Long 'A New View of Nonlinear Water Waves - The Hilbert Spectrum' Annual Review of Fluid Mechanics.(1999).
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64356-
dc.description.abstract本論文分成兩個部分,一個為光製程之蝕刻技術模擬,將整個微顯影製程當中之光學系統完整模擬,包括光化學反應模擬,光阻之建立以及其反應還有化學擴散之效應;隨著超大型積體電路(VLSI, very-large-scale integrated-circuit)製程技術的進步,元件的特徵尺寸(feature size)已遠小於曝光光源的波長,微顯影成像系統(micro-lithography image system)的解析極限不斷的被挑戰,成像結果因繞射效應明顯地偏離了原本的設計圖樣(design pattern)。
另外在本論文中,我們深入討論光阻層之模擬,針對Dill、Kim、Mack及加強型Mack顯影模型的建立方式做介紹,討論各模型的優劣。並深入去討論光之駐波(Standing Wave)對設計圖樣之影響,另外就其化學反應的擴散現象,利用數值方法來模擬化學之酸擴散(Acid diffusion)之現象。
製程上使用的化學放大光阻,在較低能量之光線反應上較好,其後續的反應可以看為一個酸擴散之現象,對於此擴散方程式,我們深入去討論並解析,並引入矩陣代數以及一些演算法,以及快速傅立葉轉換的方式來計算其數值解,以期對整個光製程之模擬做出一個可靠且快速的輔助系統。
另一主題為生理訊號之傳輸與分析,遠距照護(Telecare)之議題隨著科技之進步,以及對於醫療資源之善用有著卓越之改善,因此建立一套系統來為無縫式個人健康記錄之行動裝置提供,針對無線傳輸之生理量測儀器與智慧型手機應用,以行動個案為對象,於家中透過生理監測儀器量測數值後,經由藍芽無線傳輸以及無線網路之系統,上傳至個人化健康照護整合平台。透過智慧型手機的輔助,可達到不受時間、地點限制,均可透過手機上網存取個人健康記錄、自我管理、甚至於看診時提供醫師參考,同時透過低功耗的藍牙傳輸技術,將無線感應生理訊號量測儀器傳輸至智慧型手機,透過智慧型手機的方便性與方便攜帶性,使得資料的分析與閱讀可即時進行。
系統目前完成了血壓之量測並上傳,另外還有在心電圖之分析,利用支持向量機 (Support Vector Machines)整合MIT-BIH Arrhythmia database,來當網路後端之完整分析系統,在手機上可以接收並且即時的將心電圖繪製在手機螢幕上,在系統時間到達時會自動的送往後端之分析系統,並可以立即在手機上看到分析之結果;除此之外,我們將一般心臟疾病所要看之重要數值,以及心肌梗塞之判端方式,提出一套即時(real-time)的演算法,實現在智慧型手機上,使其可以做到傳輸兼具簡單的監測,使遠距照護不再只是空談。
zh_TW
dc.description.abstractThis thesis is divided into two parts; the first part is microlithography simulation. This part is focused on the simulation of the optical system throughout the whole microlithography process, including the photochemical reaction, the establishment of photoresist and the effect of diffusion. As the VLSI manufacture technology improves, the feature size of micro-electronic devices become much smaller than the wavelength of the exposure light source, and the limits of micro-lithography image system is continuously challenged. The exposed image results clearly deviate from the original design pattern due to the optical diffraction effect.
Furthermore, a deeper discussion about the modeling of photoresist is proposed. The Dill model, Kim model, original Mack model and enhanced kinetic model are introduced and compared. We discuss the effect that the standing wave of light brings on to the design pattern, and use numerical methods to simulate acid diffusion effect.
The chemical amplification resist used in lithography process enhances the lithography reaction with the low-energy lights. Moreover, the reaction of the lights can be regarded as the acid diffusion phenomena. We can look thoroughly into the acid diffusion equation by using matrix algebra and specific algorithms. However the non-numerical solution can be obtained by fast Fourier transform method FFT. At last, we expect to develop a fast and reliable auxiliary system for lithography simulation.
The other topic is about Physiological signals transmission and analysis. The importance of Telecare is emphasized as the technology improves and the amount of medical resources becomes abundant. Therefore, the establishment of a platform to store personal health records for wireless biological measurement instruments and smart phone applications is necessary. Patients can upload the measured results by the biological instruments at home via Bluetooth or wireless network to a personal health care platform. Personal health records are available to them and their doctor through an internet access with intelligent mobile phones without restrictions of time or location.
Our system can upload the measurements of blood pressure, as well as the results of ECG analysis. We utilize Support Vector Machines and MIT-BIH Arrhythmia database to complete the network back-end analysis systems. Patients can receive real-time ECG on the phone; in addition, we implemented a real-time algorithm in the smart phone which can diagnose heart diseases according to their health care records. In this case, both transfer and monitoring can be simply done.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T17:42:31Z (GMT). No. of bitstreams: 1
ntu-101-R99943152-1.pdf: 3433379 bytes, checksum: c6bacd8e86ce5a75a428d1e61e343d3b (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents口試委員會審定書......................................#
誌謝..............................................iii
中文摘要............................................v
ABSTRACT.........................................vii
CONTENTS..........................................ix
LIST OF FIGURES.................................xiii
LIST OF TABLES..................................xvii
Chapter 1 Introduction.............................1
1.1 Microlithography simulation process............1
1.2 The process flow of lithography................2
1.2.1 Design for manufacturability.................3
1.2.1 The type of optical lithography..............3
1.2.2 Post exposure bake...........................4
1.3 The transmission and analysis of Bio-signal....5
1.4 Telecare.......................................5
1.4.1 Heart disease................................6
1.4.2 igh blood pressure...........................6
1.5 Thesis organization............................7
Chapter 2 Preliminary..............................9
2.1 Measurements of imaging system.................9
2.2 Photoresist...................................11
2.3 Photoresist model.............................12
2.3.1 Dill model [18].............................13
2.3.1.1 Mathematical model........................13
2.3.1.2 Solve the equation........................15
2.3.1.3 Experiment result.........................17
2.3.2 Kim model...................................17
2.3.3 The Photoresist model proposed by Chris A. Mack...20
2.3.3.1 Original Mack model(Original Kinetic Model)....20
2.3.3.2 Enhance Mack model (new kinetic model)...22
2.4 Partial coherent illumination..................23
2.4.1 Coherency....................................24
2.4.2 Image formulation............................25
2.4.3 Abbe's image formulation.....................26
2.5 Chemically amplified resists...................27
2.6 Summary........................................29
Chapter 3 The numerical method we use to solve the diffusion equation...........................................31
3.1 Post exposure bake diffusion...................31
3.2 Diffusion system...............................34
3.2.1 Diffusion flux...............................34
3.2.2 Fick's law...................................35
3.3 Diffusion equation in one dimension............35
3.4 Stability analysis.............................36
3.5 Crank Nicolson method..........................38
3.6 Diffusion equation in two dimensions...........40
3.7 Sylvester equation[34].........................41
3.7.1 The proof of the Sylvester equation[36]......42
3.7.2 Solution of the Sylvester equation...........43
3.8 FFT method[37].................................45
Chapter 4 Simulation results.......................47
4.1 Process Parameter..............................47
4.2 Summary........................................56
Chapter 5 Background of the transmission and analysis of Bio-signal.........................................57
5.1 Android smartphone.............................57
5.2 2-in-1 Blood glucose & pressure monitoring system “TD-3250C”.............................................58
5.3 Bluetooth......................................59
5.4 Bluetooth interface specifications.............59
5.5 Message frame structure........................60
5.6 HuaYu’s portable ECG device....................61
5.7 Overview of ECG................................62
5.8 MIT-BIH........................................64
Chapter 6 ECG Signal Analysis......................65
6.1 QRS detection..................................65
6.2 Fourier transform[41]..........................65
6.3 Fast Fourier Transform.........................66
6.4 Wavelet transform[42]..........................66
6.5 Hilbert–Huang transform[43]....................67
Chapter 7 Telecare system and Implement result.....71
7.1 System overview................................71
7.2 System implement for blood pressure............71
7.3 The system for ECG.............................74
7.4 System architecture............................74
7.5 Real-Time ECG system...........................77
7.6 Smartphone implementation for ECG..............78
7.7 Summary........................................78
Bibliography.......................................79
dc.language.isoen
dc.subject光阻內成像模擬zh_TW
dc.subject遠距照護zh_TW
dc.subject投影式光學微顯影zh_TW
dc.subject藍芽zh_TW
dc.subject心電圖zh_TW
dc.subject擴散zh_TW
dc.subject光阻模型zh_TW
dc.subjectElectrocardiography (ECG)en
dc.subjectResist Image Simulationen
dc.subjectPhotoresist Modelen
dc.subjectDiffusion Functionen
dc.subjectTelecareen
dc.subjectBluetoothen
dc.subjectProjection Optical Micro-lithographyen
dc.title光蝕刻技術模擬以及生理訊號之傳輸與分析zh_TW
dc.titleMicrolithography Simulation and the Transmission and Analysis of Bio-signalen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree碩士
dc.contributor.oralexamcommittee賴飛羆(Fei-Pei Lai),劉如淦(Ru-Gun Liu),蔡坤諭(Kuen-Yu Tsai)
dc.subject.keyword投影式光學微顯影,光阻內成像模擬,光阻模型,擴散,遠距照護,藍芽,心電圖,zh_TW
dc.subject.keywordProjection Optical Micro-lithography,Resist Image Simulation,Photoresist Model,Diffusion Function,Telecare,Bluetooth,Electrocardiography (ECG),en
dc.relation.page83
dc.rights.note有償授權
dc.date.accepted2012-08-14
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電子工程學研究所zh_TW
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