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  <title>Repository Collection:</title>
  <link rel="alternate" href="https://oak.chosun.ac.kr/handle/2020.oak/19135" />
  <subtitle />
  <id>https://oak.chosun.ac.kr/handle/2020.oak/19135</id>
  <updated>2026-04-09T22:16:28Z</updated>
  <dc:date>2026-04-09T22:16:28Z</dc:date>
  <entry>
    <title>생체 감성 정보와 협업 필터링을 이용한 감성 이미지 추천 시스템 설계</title>
    <link rel="alternate" href="https://oak.chosun.ac.kr/handle/2020.oak/19267" />
    <author>
      <name>김태연</name>
    </author>
    <author>
      <name>서대웅</name>
    </author>
    <author>
      <name>배상현</name>
    </author>
    <id>https://oak.chosun.ac.kr/handle/2020.oak/19267</id>
    <updated>2024-05-13T07:13:18Z</updated>
    <published>2016-12-31T15:00:00Z</published>
    <summary type="text">Title: 생체 감성 정보와 협업 필터링을 이용한 감성 이미지 추천 시스템 설계
Author(s): 김태연; 서대웅; 배상현
Abstract: In this paper, we propose an image recommendation system that considers the user's emotions in the proposed system. We measure ECG and PPG, which are biological information of the user, and then use frequency analysis algorithm and SVM-GA algorithm implemented the recommended system and tried to improve the reliability of recommendation system by using collaborative filtering. We implemented a user friendly interface to verify the emotion information of the images through the recommended values and measurement graphs of the emotional images through the mobile application, thereby enhancing the usability of the proposed system. Experimental results showed that subjects' biometric information(ECG, PPG) were classified and learned by SVM-GA algorithm and classified into 4 kinds of emotion information according to biometric information. The average accuracy of the classified data was 89.2%. In addition, 86.7% of the users' satisfaction was measured, suggesting that the proposed emotion based search result is comparable to the emotion felt by a person.</summary>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>수치모의를 통한 고리원전 연안 태풍해일특성 분석</title>
    <link rel="alternate" href="https://oak.chosun.ac.kr/handle/2020.oak/19264" />
    <author>
      <name>강주환</name>
    </author>
    <author>
      <name>박선중</name>
    </author>
    <id>https://oak.chosun.ac.kr/handle/2020.oak/19264</id>
    <updated>2024-05-13T07:13:17Z</updated>
    <published>2016-12-31T15:00:00Z</published>
    <summary type="text">Title: 수치모의를 통한 고리원전 연안 태풍해일특성 분석
Author(s): 강주환; 박선중
Abstract: Recently, there has been a concern about the possibility of a super typhoon regarding the global climate change. Accordingly, the procedures for reaffirming the safety of nuclear power plant have been required. In this study, the typhoon-surge characteristics in the East Coast was reviewed, and then the extreme water level at the Gori nuclear power plant was examined. For this purpose, a standardized typhoon derived from frequency analysis of wind-speed was constructed and corresponding surge height was calculated by using the ADCIRC numerical model. Verification of the model with set-up of the standard typhoon tracks was carried out. Ultimately, not only a disaster level curve was presented but also probable maximum water level was proposed.</summary>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>전선포장용 포장비닐 자동화 생산시스템 설계</title>
    <link rel="alternate" href="https://oak.chosun.ac.kr/handle/2020.oak/19265" />
    <author>
      <name>이창훈</name>
    </author>
    <author>
      <name>강신한</name>
    </author>
    <id>https://oak.chosun.ac.kr/handle/2020.oak/19265</id>
    <updated>2024-05-13T07:13:17Z</updated>
    <published>2016-12-31T15:00:00Z</published>
    <summary type="text">Title: 전선포장용 포장비닐 자동화 생산시스템 설계
Author(s): 이창훈; 강신한
Abstract: In order to wrap the wires, the wires are formed in a coil or a donut shape, and fixed using wrapping vinyl and string. In this paper, the process of the strap packaging is repeated by one cycle with four stages and the lot size of the production is 50 cycles. Traditionally, workers act all the stages manually, resulting in a lack of uniformity of quality and increased worker’s fatigue. In this paper, we intended to develop a process that automates the manual stages. and we also developed a process monitoring system in order to monitor the status of production procedures. Through the result of this paper, problems about lack of uniformity of quality and increased worker’s fatigue were solved.</summary>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>강화학습기법의 동적일정계획에의 적용가능성에 대한 소고</title>
    <link rel="alternate" href="https://oak.chosun.ac.kr/handle/2020.oak/19263" />
    <author>
      <name>강장하</name>
    </author>
    <id>https://oak.chosun.ac.kr/handle/2020.oak/19263</id>
    <updated>2024-05-13T07:13:17Z</updated>
    <published>2016-12-31T15:00:00Z</published>
    <summary type="text">Title: 강화학습기법의 동적일정계획에의 적용가능성에 대한 소고
Author(s): 강장하
Abstract: The ability to dynamically reschedule jobs is core of flexible manufacturing system. Reinforcement learning, a machine learning approach undergoing development in various control systems, offers advantages in dynamic environments. This paper presents a feasibility study on the reinforcement learning for a dynamic scheduling problem.</summary>
    <dc:date>2016-12-31T15:00:00Z</dc:date>
  </entry>
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