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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 권혁준 | - |
| dc.contributor.author | Hyeokjin Kwon | - |
| dc.date.accessioned | 2025-02-28T21:01:15Z | - |
| dc.date.available | 2025-02-28T21:01:15Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/57988 | - |
| dc.identifier.uri | http://dgist.dcollection.net/common/orgView/200000845745 | - |
| dc.description | Artificial olfactory system, Metal oxide semiconductor, Laser-induced oxidation, Oxygen vacancy control, Artificial neural network, Odorant detection | - |
| dc.description.tableofcontents | List of Contents List of Contents Abstract i List of Contents iii List of Figures vii List of Tables xii Ⅰ. Introduction 1.1 Overview of AOSs 1 1.1.1 Historical Development of AOSs 1 1.1.2 Principle of Existing AOSs 4 1.1.3 Applications and Limitations of Current Systems 6 1.2 Limitations and Challenges of Current AOSs 8 1.2.1 Challenges in Selectivity and Sensitivity 8 1.2.2 Challenges in Energy Efficiency and Scalability 10 1.2.3 Technological Barriers to Widespread Adoption 11 1.3 Next-Generation AOSs: Objectives and Innovations· 13 1.3.1 Advanced Sensor Technologies for Improved Performance 13 1.3.2 Integration of Signal Processing Techniques Using Machine Learning 20 1.3.3 Objectives for Next-Generation AOSs 26 1.4 Research Objectives and Scope 28 1.4.1 Olfactory Epithelium: Sensor Fabrication and Oxidation Process 29 1.4.2 Olfactory Bulb: Singal Generation and Odor Sensing Measurements 30 1.4.3 Olfactory Cortex: Signal Processing Using ANNs 32 1.4.4 Applications and Validation of the AOS through Wine Classification 35 ⅠI. Olfactory Epithelium: Sensor Fabrication and Oxidation Process 2.1 Overview of MOS Sensor Arrays 38 2.1.1 Principles of Olfactory Receptors in Biological Systems 41 2.1.2 Emulation of Olfactory Receptors Using MOS Sensors 43 2.1.3 Suitability and Advantages of MOS Materials for AOSs 45 2.1.4 Room-Temperature Operation of MOS Gas Sensors 47 2.2 Analysis of Material Properties through Laser Oxidation Process 52 2.2.1 Substrate Preparation and Deposition of Cu Thin Films 53 2.2.2 Laser Oxidation Process and Parametric Studies 54 2.2.3 Characterization of Oxidized Cu Films 58 2.3 Channel Diversification Strategy through Oxygen Vacancy Modulation via Laser Oxidation Process 64 2.3.1 Design and Development of MOS Sensor 64 2.3.2 Fabrication Process Using Laser-Induced Oxidation 65 2.3.3 Characterization of Laser-Oxidized Films 68 2.3.4 Sensing Properties of Laser-Oxidized MOS Sensor 71 ⅠII. Olfactory Bulb: Signal Generation and Odor Sensing Measurements 3.1 Experimental Setup for Odor Sensing 74 3.1.1 Design of the Bubbler-based Odor Generation System 75 3.1.2 Sensor Array Configuration and Multi-Channel t-I System 77 3.1.3 Odor Generation and Control Protocols 78 3.2 Description of Selected Odor Molecules 80 3.2.1 Criteria for Odor Molecule Selection 80 3.3 Measurement of Single Odor Molecules 81 3.3.1 Sensor Response to Single Odor Molecules 81 3.3.2 Interpretation of Single Odor Response Patterns 90 3.4 Analysis of Complex Odor Mixtures 95 3.4.1 Sensor Response to Dual Odor Molecules Mixtures 95 3.4.2 Pattern Recognition for Complex Odor Molecule Mixtures 97 IV. Olfactory Cortex: Enhancing Efficiency with Neural and Preprocessing Techniques 4.1 Overview of Artificial and Biological Olfactory Systems 100 4.1.1 Applications and Energy Efficiency Challenges in AOSs 100 4.1.2 Biological Olfactory Systems as a Model for Energy-Efficient Signal Processing 101 4.2 Signal Processing Techniques for Energy Efficiency 102 4.2.1 Sensor Array Design Aligned with Low Energy Efficiency Requirements · 102 4.2.2 Exponential Fitting by Langmuir Isotherm Model 104 4.2.3 Initial Signal Segment Analysis· 104 4.3 Odor Classification and Concentration Prediction Using SNN 106 4.3.1 SVM and SNN for Initial Signal Segment Classification 107 4.3.2 Evaluation of Classification Performance and Accuracy 108 4.3.3 Regression Techniques for Concentration Prediction 110 V. Applications and Validation of the AOS through Wine Odor Classification 5.1 Rationale for Extension from Odor Molecule Analysis 111 5.2 Wine Classification Results and Analysis 113 5.3 Broader Applications in Industry 117 5.3.1 Extending Olfactory Technology Beyond Wine Analysis 117 5.3.2 Implementation of Quality Control in Various Industries 118 5.3.3 Potential for Customizable Scent Profiles 118 5.3.4 Integration of AOSs in Real-World Scenarios 119 VI. Conclusion 6.1 Summary 120 6.2 Contributions and Future Directions 122 VII. References 123 |
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| dc.format.extent | 127 | - |
| dc.language | eng | - |
| dc.publisher | DGIST | - |
| dc.title | Development of Next-Generation Artificial Olfactory Systems Using Metal Oxide Semiconductor Sensor Arrays via Optically Controlled Oxidation | - |
| dc.title.alternative | 광학적 산화 제어 공정을 통한 금속 산화물 어레이 기반 차세대 인공 후각 시스템 개발 | - |
| dc.type | Thesis | - |
| dc.identifier.doi | 10.22677/THESIS.200000845745 | - |
| dc.description.degree | Doctor | - |
| dc.contributor.department | Department of Electrical Engineering and Computer Science | - |
| dc.identifier.bibliographicCitation | Hyeokjin Kwon. (2025). Development of Next-Generation Artificial Olfactory Systems Using Metal Oxide Semiconductor Sensor Arrays via Optically Controlled Oxidation. doi: 10.22677/THESIS.200000845745 | - |
| dc.contributor.coadvisor | Cheil Moon | - |
| dc.date.awarded | 2025-02-01 | - |
| dc.publisher.location | Daegu | - |
| dc.description.database | dCollection | - |
| dc.citation | XT.ID 권94 202502 | - |
| dc.date.accepted | 2025-01-20 | - |
| dc.contributor.alternativeDepartment | 전기전자컴퓨터공학과 | - |
| dc.subject.keyword | Artificial olfactory system, Metal oxide semiconductor, Laser-induced oxidation, Oxygen vacancy control, Artificial neural network, Odorant detection | - |
| dc.contributor.affiliatedAuthor | Hyeokjin Kwon | - |
| dc.contributor.affiliatedAuthor | Hyuk-Jun Kwon | - |
| dc.contributor.affiliatedAuthor | Cheil Moon | - |
| dc.contributor.alternativeName | 권혁진 | - |
| dc.contributor.alternativeName | Hyuk-Jun Kwon | - |
| dc.contributor.alternativeName | 문제일 | - |
| dc.rights.embargoReleaseDate | 2027-02-28 | - |
