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PSO알고리즘을 이용한 테라헤르츠 필터 설계
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 김상인 | - |
| dc.contributor.author | Dang, Ngo Hai | - |
| dc.date.accessioned | 2018-11-08T07:48:51Z | - |
| dc.date.available | 2018-11-08T07:48:51Z | - |
| dc.date.issued | 2009-02 | - |
| dc.identifier.other | 9482 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/7254 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :전자공학과,2009. 2 | - |
| dc.description.tableofcontents | 1.Particle swarm optimization algorithm (PSOA) 1.1.Introduction 1 1.2. Implementing procedure 1.2.1. Real value version 4 1.2.2. Binary value version 9 1.3. Sample result from PSOA -Frequency selective surface design 11 2.Terahertz filter design 2.1. Single slot transmission spectrum in terahertz region 13 2.2. Optimization result of T shape 17 2.3. Optimization result of single peak filter 20 2.4. Optimization result of two-peak filter 25 3.Conclusion 27 4.Reference 28 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | PSO알고리즘을 이용한 테라헤르츠 필터 설계 | - |
| dc.title.alternative | NGOHAIDANG | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | NGOHAIDANG | - |
| dc.contributor.department | 일반대학원 전자공학과 | - |
| dc.date.awarded | 2009. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 567696 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000009482 | - |
| dc.subject.keyword | terahertz filter | - |
| dc.subject.keyword | particle swarm | - |
| dc.subject.keyword | optimization | - |
| dc.subject.keyword | rectangular single slot | - |
| dc.description.alternativeAbstract | In this thesis, I report on Terahertz filter design with particle swarm optimization (PSO) to achieve target transmission spectra. In order to apply the PSO algorithm, a plane of a perfect conductor was divided into many small square cells that can be “flip-flop” between perfect conductor and vacuum. I also applied the PSO algorithm to optimize the dimension of a perfect metal aperture of a certain shape. Numerical results demonstrate the effectiveness of these methods for one and two peak terahertz filters. This work can be further extended for three and four peak cases. Such filters are essential to the examination of different material characteristics in terahertz range. The developed PSO based filter design method is a promising tool for designing general electromagnetic devices such as filters and antenna. | - |
- Appears in Collections:
- Graduate School of Ajou University > Department of Electronic Engineering > 3. Theses(Master)
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