近年來，在電子鼻的相關領域中，許多研究已投入於利用電子鼻進行氣體分析之開發。這些分析方法主要針對於利用現有的已知氣體資料，稱為訓練資料，來分辨待測氣體的種類。然而，一個更為實際的應用是對氣體做完整的成分分析。本篇論文所探討的即是如何應用電子鼻來進行氣體成分之分析。首先，本論文提出了一個以K最鄰近演算法為基礎的分類法。在此方法的訓練階段，氣體的訓練資料會先依照所包含的氣體成分做分類。在測試階段時，待測氣體會被歸類到最接近的氣體類別。此外，針對每個氣體類別，每個感測器所量測到的反應會被給予權重以反映該感測器對於分辨該氣體類別的精準度。除此之外，為了更進一步預估混合氣體各成分的濃度，本論文採用了迴歸分析的方法來建立氣體的模型，並運用加權最小平方法來預估混合氣體各成分的濃度。經由實驗的檢驗，上述的兩種氣體分析的方法可提供電子鼻系統用來分辨混合氣體的各成分以及預估各成分的濃度。

1 INTRODUCTION 1
1.1 Smell Sensing Mechanism 2
1.2 Related Works 4
1.3 Motivations and Objectives 8
1.4 Overview of the Thesis 10
2 METHODS of Odor Analysis 11
2.1 Locally Weighted Nearest Neighbor 12
2.2 Odor Concentration Estimation by Weighted Least-Squares Method 15
3 EXPERIMENTAL RESULTS 19
3.1 Experimental Setup 19
3.2 Properties in The Collected Data Set 21
3.3 Odor Component Determination Results 24
3.4 Estimation Results for Mixed Odors 27
4 CONCLUSION 32
A Lagrangian Multipliers for Equation (2.3) 38
B The Least-Squares Method for Mixed Odor Modeling 40

[1] Aleix M. Martinez and Avinash C. Kak. "PCA versus LDA", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 2, pp. 228-233, 2001.
[2] Antihus H, Go ̀mez, et al. "Evaluation of Tomato Maturity by Electronic Nose", Computers and Electronics in Agriculture, vol. 54, no. 1, pp. 44-52, 2006.
[3] Beth C. Mun ̃oz, Gregory Steninthal, and Steven Sunshine. "Conductive Polymer-Carbon Black Composites-based Sensor Arrays for Use in an Electronic nose", Sensor Review, vol. 1, no. 4, pp. 300-305, 1999.
[4] David James, Simon M. Scott, Zulfiqur Ali, and William T. OHare. "Chemical Sensors for Electronic Nose Systems", Microchim Acta, vol. 149, pp. 1-17, 2004.
[5] Dietrich Wettschereck and Thomas G. Dietterich. "Locally Adaptive Nearest Neighbor Algorithms", Advances in Neural Information Processing Systems 6, pp. 184-191, 1994.
[6] Emmanuelle Schller, Jacques O. Bosset, and Felix Escher. "'Electronic Noses' and Their Application to Food", Lebensmittel-Wissenschaft und-Technologie, vol. 31, pp. 305-316, 1998.
[7] H. GholamHosseini, Dehan Luo, Hongxiu Lin, Guanggui Xu. "Intelligent Processing of E-nose Information for Fish Freshness Assessment", Intelligent Sensors, Sensor Networks and Information, pp. 173-177, 2007.
[8] Hanying Zhou, Margie L. Homer, Abhijit V. Shevade, and Margaret A. Ryan. "Nonlinear Least-Squares Based Method for Identifying and Quantifying Single and Mixed Contaminants in Air with an Electronic Nose", Sensors 6, no. 1, pp. 1-18, 2006.
[9] Huichun Yu, et al. "Identification of Green Tea Grade Using Different Feature of Response Signal from E-nose Sensors", Sensors and Actuators B: Chemical, vol. 128, no. 2, pp. 455-461, 2008.
[10] Linda B. Buck. "Unraveling the Sense of Smell", Nobel Lecture, 2004.
[11] Linda B. Buck. "Olfactory Receptors and Odor Coding in Mammals", Nutrition Reviews, vol. 62, pp. S184-S188, 2008.
[12] Liran Carmel, Noa Server, and David Harel. "On Predicting Responses to Mixtures in Quartz Microbalance Sensors", Sensors and Actuators B: Chemical, vol. 106, issue 1, pp. 128-135, 2005.
[13] Manuele B. G. Tessari, Giampietro Tecchiolli, and Marco Bettinelli. "A Comparative Analysis of Basic Pattern Recognition Techniques for the Developement of Small Size Electronic Nose", Sensors and Actuators, pp. 137-144, 2002.
[14] Margaret A. Ryan, et al. "Monitoring Space Shuttle Air Quality Using the Jet Propulsion Laboratory Electronic Nose", IEEE Sensors Journal, vol. 4, no. 3, pp. 337-346, 2004.
[15] Mark C. Lonergan, et al. "Array-Based Vapor Sensing Using Chemically Sensitive, Carbon Black-Ploymer Resistors", Chemistry of Materials, pp. 2298-2312, 1996.
[16] P. C. Jurs, G. A. Bakken, and H. E. McClelland. "Computational Methods for the Analysis of Chemical Sensor Array Data from Volatile Analytes", Chemical Reviews, pp. 2649-2678, 2000.
[17] Ricardo Gutierrez-Osuna and H. Troy Nagle. "A Method of Evaluating Data-Preprocessing Techniques for Odor Classification with an Array of Gas Sensors", IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 29, issue 5, pp. 626-632, 1999.
[18] Trevor Hastie and Robert Tibshirani. "Discriminant Adaptive Nearest Neighbor Classification", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 6, pp. 607-616, 1996.
[19] Zhi-biao Shi, et al. "Comparison of Algorithms for an Electronic Nose in Identifying Liquors", Journal of Bionic Engineering, vol. 5, no. 3, pp. 253-257, 2008.