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- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 신지훈 ( Ji Hoon Sin ) (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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김대현,김대수,신지훈,김순분,Kim, Dae-Hyun,Kim, Dae-Soo,Sin, Ji-Hoon,Kim, Soon-Boon 한국조경학회 2005 韓國造景學會誌 Vol.32 No.6
The purposes of this study were to classify the changing periods of apartment outdoor space in Korea and to clearly understand the specific characteristics of each period. The study has been done through on-site observation of apartment complexes, and through the analysis of housing estate planning techniques, rules and regulations affecting outdoor spaces during the rapidly developing era. The results of this study shows that three major periods with distinct characteristics were found, which were as follows: 1) The first well defined period spans from 1960 to 1990. In this period, apartment construction was rapid, and as a result, quality of housing environments were sacrificed. As little attention was given to the landscapes in apartment complex, they were constructed very simple and identical in outdoor space of apartment complex. This period can be referred to as the 'commonly universal period in apartment outdoor space'. 2) The second period spans from 1991 to 1996, during which time a housing construction project for two million residences was completed in order to significantly stimulate the provision of houses to the general public. As a result, regulations were relaxed causing housing environments to deteriorate. Although apartments were constructed very close together, there was some diversification and experimentation in outdoor styles. This period can be referred to as the 'congestion period of apartment outdoor space'. 3) The third period spans from 1997 to the present. During this time the number of unsold apartments has grown considerably throughout the country. Many different apartment complex marketing strategies have been employed to reduced the glut of unsold apartments. This experimental trend has continued and been well-received since the IMF period. The distinguishing characteristics of this period are the introduction of a rich natural landscape, the increase in communications among residents, the human oriented design, and the refined and elegant design for the outdoor street furnitures. As a result, this period can be named the "differentiation period of apartment outdoor space".
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혼합필터링(Hybrid Filtering)을 활용한 교과목 추천시스템 개발
김충일 ( Chung Il Kim ),최남규 ( Nam Gyu Choi ),허유진 ( Yu Jin Heo ),신지훈 ( Ji Hoon Sin ),윤장혁 ( Jang Hyeok Yoon ) (주)엘지씨엔에스(구 LGCNS 엔트루정보기술연구소) 2015 Entrue Journal of Information Technology Vol.14 No.2
대학교양과목은 대학생활의 전반적인 만족도에 지대한 영향을 미칠 뿐만 아니라, 학생들의 인격함양 및 융합지식 습득의 기반이 되므로 그 중요성이 점점 부각되고 있다. 이렇듯 적절한 교양과목 수강이 중요해지고 있음에도 불구하고, 학생들의 선호를 정확히 반영하는 교양과목 추천시스템에 대한 연구는 미흡한 실정이다. 본 논문은 학생들에게 일반교양과목을 추천해 주는 추천시스템을 제안한다. 협업필터링은 유사한 사용자가 좋게 평가하였지만 목표고객이 아직 경험하지 않은 아이템을 추천해 주는 대표적인 방식이다. 하지만 협업필터링은 Cold Start Problem을 가지기 때문에 1, 2학년과 같은 초기 사용자들에게는 적용이 어려울 수 있다. 그러므로, 본 연구는 수강내역을 이용한 협업필터링과 학생의 정보특성을 이용한 내용기반필터링을 혼합하였다. 본 논문은 제안된 방법에 대한 실용성을 성능분석을 통해 검증하였으며, 제안된 방법은 개개인의 요구에 맞춘 과목추천에 기여할 것으로 기대된다. Liberal arts in universities are becoming important, because they act as the basis for undergraduates` character building and convergent knowledge acquisition as well as significantly affect the overall satisfaction during university life. Despite the importance of taking proper liberal arts, little attention has paid to the methods to recommend liberal arts that fit with students` preferences. Therefore, this paper suggests a recommender system-based approach to recommend elective courses of liberal arts to students. Collaborative filtering is a well-known method to recommend items that similar users have rated highly but not yet rated by a target user. However, collaborative filtering has the cold start problem, so it may not work well for some undergraduates, such as first and second year students. Therefore, this study combines collaborative filtering using course registration information and contents-based filtering using students`` property information. We verify the practicality of our approach using performance measures. We expect that the proposed method contributes to the course recommendation customized to individual preferences.
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