• Title/Summary/Keyword: 함께 나누는 자연

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나누는삶 - 우리 사업장, 건강검진 받는날 - 자연을 위한 성장, 사람을 향한 발전 친환경 기업 삼성SDI울산사업장 -

  • Seo, Hui-Jeong
    • 건강소식
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    • v.33 no.12
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    • pp.38-39
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    • 2009
  • 종가(宗家)에는 예로부터 웅숭깊은 기운이 서려 있다. 대한민국의 경제를 이끌고 있는 기업 중 하나인 삼성SDI 역시 지난 1970년 삼성NEC(주)를 모태로 40여년의 세월을 굳건하게 지켜왔다. 그 중 울산광역시 울주군 삼남면 가천리에 위치한 삼성SDI 울산사업장은 약 70만평의 부지에 16만 여평의 건평을 중심으로 명문종가의 명맥을 이어오고 있다. 브라운관을 만들던 최고의 전성기 1900년대를 지나 지금은 녹색성장과 함께 2차전지의 글로벌 기업으로 도약하고 있는 삼성SDI 울산사업장을 찾았다.

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Extension of the Possibilistic Fuzzy C-Means Clustering Algorithm (Possibilistic Fuzzy C-Means 클러스터링 알고리즘의 확장)

  • Heo, Gyeong-Yong;U, Yeong-Un;Kim, Gwang-Baek
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.423-426
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    • 2007
  • 클러스터링은 주어진 데이터 포인트들을 주어진 개수의 그룹으로 나누는 비지도 학습의 한 방법이다. 클러스터링의 방법 중 하나로 널리 알려진 퍼지 클러스터링은 하나의 포인트가 모든 클러스터에 서로 다른 정도로 소속될 수 있도록 함으로써 각 포인트가 하나의 클러스터에만 속할 수 있도록 하는 K-means와 같은 방법에 비해 자연스러운 클러스터 형태의 유추가 가능하고, 잡음에 강한 장점이 있다. 이 논문에서는 기존의 퍼지 클러스터링 방법 중 소속도(membership)와 전형성(typicality)을 동시에 계산해 낼 수 있는 Possibilistic Fuzzy C-Means (PFCM) 방법에 Gath-Geva (GG)의 방법 을 적용하여 PFCM을 확장한다. 제안한 방법은 PFCM의 장점을 그대로 가지면서도, GG의 거리 척도에 의해 클러스터들 사이의 경계를 강조함으로써 분류 목적에 적합한 소속도를 계산할 수 있으며, 전형성은 가우스 형태의 분포에서 생성된 포인트들의 분포 함수를 정확하게 모사함으로써 확률 밀도 추정의 방법으로도 사용될 수 있다. 또한 GG 방법은 Gustafson-Kessel 방법과 달리 클러스터에 포함된 포인트의 개수가 확연히 차이 나는 경우에도 정확한 결과를 얻을 수 있다는 사실을 실험 결과를 통해 확인할 수 있었다.

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A Study of the Meaning of Intergenerational Linkages made by Children and the Elderly (아동과 노인간의 세대공동체 구현의 의미에 관한 연구 : 세대공동체 프로그램 참여 노인을 중심으로)

  • Na, Hangjin
    • 한국노년학
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    • v.29 no.4
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    • pp.1665-1683
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    • 2009
  • The purpose of this study is to examine what the formation of a community incorporating two generations of people can give the elderly and the problems which are associated with establishing related programs of this kind. For this, the researcher enacted ethnographic method like as observant participation and in-depth interview on 24 participants. From this study, I found that the elderly and the children who took part in several programs to form the intergenerational linkages made the system meaningful in the following ways: first, the more harmonious the communication across between two age groups is, the more the understanding between them increases. Second, the sense of community has intensified the natural harmony. Third, the more self-satisfaction and confidence increases, the more self-efficacy is enhanced. Fourth, the purposeful and creative activities with peers have enabled the elderly to enjoy their leisure time. Fifth, the elderly have experienced the pleasure of learning and sharing common sense as a life-long learners. However, in the process of this program, several problems occurred such as the rigidly bureaucratic operation of the program and the elderly people's individual differences. In addition, the lack of a precisely-existing program necessary to form the intergenerational linkages and to bring together different generations was a problem. Finally, I have concluded that the effort to form the intergenerational linkages helps increase the understanding and cooperation across age groups and contributes to the successful aging of the elderly.

A Study on the Directions of Sewol Ferry Tragedy Memorial Park Based on the Analysis on Social Discourse and Recognition Evaluation (도심형 메모리얼파크의 사회적 담론 및 인식분석을 통한 4·16 세월호 참사 추모공원 방향성 제안 연구)

  • Kim, Do-Hun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.48 no.6
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    • pp.25-38
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    • 2020
  • The objective of this study is to propose a direction for creating a memorial park for the 250 students victims of the Sewol ferry disaster. To this end, this study first attempted to understand the matters discussed at various levels to create a memorial park and find a way that the park can be built by gathering opinions from the bereaved families and the victims themselves, as well as local residents, and experts. Workshops, competitions, special lectures, and websites, etc, were analyzed. A social discourse analysis methodology was used for systematic analysis, and the analyzed discourse was categorized into 4 types for assessment, and the functions and roles were subdivided into 15 types. To assess the priorities and the adequacy of the discourse, an analytic hierarchy process (AHP) was used among 30 activists, public servants, and experts. Then, a survey was conducted to analyze the perception of the residents (467 participants including the bereaved families) about the memorial park. Based on the results of the analysis, two directions were set for the memorial park. First, is a memorial park to remember the victims in everyday life. It must be a park with various cultural contents instead of a conventional memorial park that is solemn and grave sharing anguish and sorrow. The memorial park for the Sewol ferry disaster must become a space where visitors can naturally encounter and remember the victims. Second, is a park that serves as a catalyst that brings change and innovation to the community. It must be able to bring change to the community with direct and indirect influence. It must serve as an impetus to bring change and innovation to the community in the mid-to-long-term. Having many visitors may also lead to an economic effect. These visitors may not just stay in the park, but even contribute to revitalizing the local businesses. The purpose of this study is to apply the research findings to guide the International Design Competition scheduled for 2020 and serve to establish guidelines for a continuous park management system.

Improvement of the PFCM(Possibilistic Fuzzy C-Means) Clustering Method (PFCM 클러스터링 기법의 개선)

  • Heo, Gyeong-Yong;Choe, Se-Woon;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.1
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    • pp.177-185
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    • 2009
  • Cluster analysis or clustering is a kind of unsupervised learning method in which a set of data points is divided into a given number of homogeneous groups. Fuzzy clustering method, one of the most popular clustering method, allows a point to belong to all the clusters with different degrees, so produces more intuitive and natural clusters than hard clustering method does. Even more some of fuzzy clustering variants have noise-immunity. In this paper, we improved the Possibilistic Fuzzy C-Means (PFCM), which generates a membership matrix as well as a typicality matrix, using Gath-Geva (GG) method. The proposed method has a focus on the boundaries of clusters, which is different from most of the other methods having a focus on the centers of clusters. The generated membership values are suitable for the classification-type applications. As the typicality values generated from the algorithm have a similar distribution with the values of density function of Gaussian distribution, it is useful for Gaussian-type density estimation. Even more GG method can handle the clusters having different numbers of data points, which the other well-known method by Gustafson and Kessel can not. All of these points are obvious in the experimental results.