• Title/Summary/Keyword: 클레멘

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Design of Mobbing Value Computation Algorithm and Classification Model based on Social Network (Social Network 기반 Mobbing 지수 산정 알고리즘 및 분류 모델 설계)

  • Kim, Guk-Jin;Park, Gun-Woo;Lee, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.352-355
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    • 2009
  • 본 논문에서는 Mobbing(집단 따돌림) 현상에 관련된 7개의 요소(Factor)와 그 하위에 포함된 60개의 속성(Attribute)들을 선정한다. 다음으로 선정한 속성들에 대해 나와 사용자들 사이에 관계가 있으면 '1', 관계가 없으면 '0'으로 표현하고, 나와 사용자들간의 유사도 산정을 위해 각 요소안에 포함된 속성들의 합에 유사도 함수를 적용한다. 다음으로 클레멘타인의 인공신경망 알고리즘을 통해 속성들을 포함한 요소들이 취할 최적의 가중치를 산출하고, 이 값들의 총합으로 Mobbing 지수를 산정한다. 마지막으로 Social Network 사용자들의 Mobbing 지수를 본 논문에서 설계한 G2 Mobbing 성향 분류 모델(4개의 그룹; Ideal Group of the Social Network, Bullies, Aggressive victimes, Victimes)에 매핑하여 사용자들의 Mobbing 성향을 알아본다.

Analysis of Web Log Using Clementine Data Mining Solution (클레멘타인 데이터마이닝 솔루션을 이용한 웹 로그 분석)

  • Kim, Jae-Kyeong;Lee, Kun-Chang;Chung, Nam-Ho;Kwon, Soon-Jae;Cho, Yoon-Ho
    • Information Systems Review
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    • v.4 no.1
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    • pp.47-67
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    • 2002
  • Since mid 90's, most of firms utilizing web as a communication vehicle with customers are keenly interested in web log file which contains a lot of trails customers left on the web, such as IP address, reference address, cookie file, duration time, etc. Therefore, an appropriate analysis of the web log file leads to understanding customer's behaviors on the web. Its analysis results can be used as an effective marketing information for locating potential target customers. In this study, we introduced a web mining technique using Clementine of SPSS, and analyzed a set of real web log data file on a certain Internet hub site. We also suggested a process of various strategies build-up based on the web mining results.

달 탐사위성 개발 현황

  • Sim, Eun-Seop
    • Current Industrial and Technological Trends in Aerospace
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    • v.5 no.1
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    • pp.39-55
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    • 2007
  • 인류는 달을 보며 우주개발에 대한 꿈을 꾸어왔다. 60년대에서 70년대 중반까지 미 소간의 우주경쟁으로 달 탐사에 큰 예산을 들여 마침내 인류를 달에 착륙시켜 달 탐사를 실현할 수 있었다. 이젠 화성에 인류를 보내기 위한 전초기지를 달에 구축하려고 다시금 미국이 달 탐사를 가동시켰다. 이에 따라 세계 여러 나라가 달에 대해 다시 관심을 고조 시키고 있다. 그래서 이 논문에서는 90년대와 최근에 재 시작된 달 탐사위성의 개발동향을 조사하여 기술하였다. 대상 위성 프로젝트는 미국의 클레멘타인과 루나 프로스펙터, 유럽연합의 스마트-1호, 일본의 셀레네, 중국의 창어-1호, 인도의 찬드라얀-1호, 미국의 LRO 달 탐사 궤도선, 러시아의 루나-글로브 위성들의 주요특성과 탑재체, 지상국, 임무궤적 및 달 임무 궤도에 대해 개괄적으로 기술하였다. 기술 특징으로는 위성 제작기술 발전에 따라 경량화에 중점을 두어 위성을 소형화 하였으며, 통신방식에 있어서는 X 및 Ka대역을 사용하여 데이터 전송속도를 현저히 증가 시켰으며, 위성 및 지상의 안테나의 크기를 줄일 수 있었으며, 전기추력기를 사용하여 소형위성으로도 달 탐사를 실현시켰다. 그리고 다른 나라에서 개발되는 달 탐사위성의 개발 예산을 살펴보면 약 1억불 정도이면 소형 급의 위성을 개발하여 달 궤도에 진입시켜 달 과학탐사 임무를 수행할 수 있다고 할 수 있겠다. 따라서 우리나라도 지난 15년 이상 지구궤도 위성을 성공적으로 개발하며 구축한 기술을 바탕으로 달 탐사 위성의 개발에 대한 가능성을 가지고 있다고 본다. 이제 우리나라도 인류의 미래우주개발의 일익을 담당하고자 달 탐사위성 프로젝트를 준비해야한다

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Destruction and Preservation of Architectural Monuments -in the Context of World War I France and Germany- (기념비 건축물의 파괴와 보존의 의지에 관한 연구 -제1차 세계 대전 전후 프랑스와 독일의 사례를 중심으로-)

  • Kim, Young-Cheol
    • Journal of architectural history
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    • v.31 no.5
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    • pp.57-64
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    • 2022
  • Architectural Monuments have to overcome the challenge of time due to physical properties. The fundamental issue must be grounded in an understanding of history and art to overcome this challenge and make themsustainable. Many efforts to preserve the monuments through the 19th century and at the beginning of the 20th century to record them in scientific form were successful. To be aware of the meaning of the art and not to be 'barbare' anymore was behind the promotion of these activities. Above all, the 19th-century French architect Viollet-le-Duc contrasted the concept of barbarism with the concept of art and tried to redefine architecture as art. The ritual to escape 'barbare' played an important role in the end. This consciousness was also at work in the propaganda for the preservation of medieval architectural monuments in France, led by intellectuals such as Rodin. Also, the concept of 'barbare' served as an important yardstick whenever the cause of their loss was questioned while important monuments were destroyed in the First World War. From the viewpoint of Germany, Dehio was the pioneer of the preservation movement and documentation of monuments. The principle he advocated was preservation, not restoration. The historian Pevsner, who moved to England, also surveyed monuments in various parts of England and left them in the same format as Dehio. These facts show that architecture as art plays a fundamental role in the history of human life.

Mobbing-Value Algorithm based on User Profile in Online Social Network (온라인 소셜 네트워크에서 사용자 프로파일 기반의 모빙지수(Mobbing-Value) 알고리즘)

  • Kim, Guk-Jin;Park, Gun-Woo;Lee, Sang-Hoon
    • The KIPS Transactions:PartD
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    • v.16D no.6
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    • pp.851-858
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    • 2009
  • Mobbing is not restricted to problem of young people but the bigger recent problem occurs in workspaces. According to reports of ILO and domestic case mobbing in the workplace is increasing more and more numerically from 9.1%('03) to 30.7%('08). These mobbing brings personal and social losses. The proposed algorithm makes it possible to grasp not only current mobbing victims but also potential mobbing victims through user profile and contribute to efficient personnel management. This paper extracts user profile related to mobbing, in a way of selecting seven factors and fifty attributes that are related to this matter. Next, expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and through this summation Mobbing-Value(MV) can be calculated . Finally by mapping MV of online social network users to G2 mobbing propensity classification model(4 Groups; Ideal Group of the online social network, Bullies, Aggressive victims, Victims) which is designed in this paper, can grasp mobbing propensity of users, which will contribute to efficient personnel management.

Mobbing Value Algorithm for Improvement Victims Management - based on Social Network in Military - (집단 따돌림 희생자 관리 개선을 위한 모빙 지수 알고리즘 - 소셜 네트워크 기반 군 조직을 중심으로 -)

  • Kim, Guk-Jin;Park, Gun-Woo;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.11
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    • pp.1-12
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    • 2009
  • Mobbing is going the rounds through a society rapidly and Military is not exception. Because mobbing of military is expressed not only psychology exclusion that is mobbing pattern of adult society but also sometimes psychologic and physical mobbing, is possible to join serious military discipline like a suicide and outrageous behavior. Specially military try to protect occurrence of victims that is public service through various rules and management plan but victims is going on happen. It means importance of grasp not only current mobbing victims but also potential mobbing victims better than preparation of various rules and management plans. Therefore this paper extracts seven factors and fifty attributes that are related to this matter mobbing. Next, by using Gunwoo's Social Network Service that is made for oneself and expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function(Dice's coefficient) to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and propose Mobbing Value(MV) Algorithm through this total summation. Finally through this algorithm which will contribute to efficient personnel management, we can grasp mobbing victims and tentative mobbing victims.