• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2000년도 추계종합학술대회
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• pp.272-277
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• 2000

본 논문에서는 Self-similar 확률과 정의 및 트래픽외 특성, 그리고 최근 논문들에서 보고된 사례에 대한 동향과 실제의 데이터 트래픽 특성에 대한 분석연구를 통하여 Self-similar 패턴에 대한 연구 결과를 제시하고자 한다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2002년도 추계학술발표논문집 (하)
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• pp.1765-1768
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• 2002

최근 들어 웹사이트 개인화(Web Personalization)에 관한 연구가 활발히 진행되고 있다. 웹 개인화는 클러스터링과 같은 데이터 마이닝 기법을 이용하여 개개의 사용자에게 가장 흥미를 갖을만한 URLs의 집합을 예측하는 것이라 할 수 있다. 기존에는 웹 트랜잭션을 클러스터링 하기 위해서 사용자의 방문여부에 따라 트랜잭션을 비트벡터(bit vector)로 표현하였다. 하지만 이것은 웹 트랜잭션의 클러스터링에 있어서 사용자의 흥미를 배제하고 단순히 방문여부만을 반영하게 된다. 이에 본 논문에서는 사용자의 흥미도(Interestingness)를 반영할 수 있도록 보완된 웹 트랜잭션 모델을 제시하고 제안된 트랜잭션 모델을 적용한 유사도 비교방법을 제안한다. 그리고 성능평가를 통하여 제안한 방법이 기존 방법에 비해 클러스터링의 정확성을 높임을 보인다.

• 한국통신학회논문지
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• 제21권11호
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• pp.3001-3011
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• 1996

In this paper, using DBNN algorithm which is used in the binary pattern classification or speech signal processing the digital DBNN circuit is designed having the variable expansion depending the size of input data and pattern type. The processing elemen(PE) of the proposed network consists of the synapse and MAXNET circuits for the similarity measurement between reference and input pattern. Global MAXNET selects the global winner among the local winners which is selected in each PE. Through the several simultions, and thus each PE and global MAXNET search the reference pattern that was the most simlar to input pattern for the discord of the pattern.

• 치과방사선
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• 제5권1호
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• pp.22-25
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• 1975

The author has studied on the profiles on Korean young male and female by the cephalometric roentgenograms, the subjects were consisted of 104 persons with normal occlusion and the measurements were done on the soft and hard structures. The mean and standard deviations in the subjects were calculated and compared between male and female. The author has obtained the following results: 1. In the linear measurement, male was longer than female in most measuring points. 2. Compared with the angulation of soft tissue, there were no differences between both sexes. 3. In the skeletal patterns, there were some differences between male and female, but there was a similarity to the facial profile. 4. The individual variations on the cephalometric profiles on the subjects were recognized, especially, in the lower facial part.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2001년도 춘계학술대회 논문집
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• pp.37-40
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• 2001

This paper describes the selection and evaluation of RP processes. Major rapid prototyping processes such as SLS, SLA, FDM and LOM, which are wide spread in use are selected. A test part, which includes various primitives, is designed in order to evaluate these RP processes. Measurement of the test part is automated by using a CMN program. To visualize and analyze measured data, Microsoft Access and Visual C++ are used. Also, from measured data obtained, TOPSIS, one of the decision making methods, and Shannon Entropy is used to select an appropriate RP process for specific application.

• 아동학회지
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• 제14권2호
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• pp.5-16
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• 1993

The purpose of the present study was to classify the attachment to mothers of kindergarten children based on a system for classifying attachment organization developed by Main and Cassidy(1988) and to examine the relationship of children's temperament with attachment. 32 children and their mothers were observed and videotaped in the strange situation. Mothers were administered the children's temperament questionnaire revised by Chun (1992). The data were analysed by t-test. The results showed similarity between the attachment classifications of Main and Cassidy (1988) and those of Korean children. These results can be considered partial validation of Main and Cassidy's classification system for the measurement of the attachment of 5-to 6-year-old Korean children. Children's temperament has significant correlation to the security of attachment.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.2020-2023
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• 2003

In this paper, our proposed system uses the regional Gabor wavelet and Neural Network to implement face recognition similar to human face recognition system, because the Gator wavelet expresses visual recognition system of human mathematically and the regional Neural Network is robust to white noise and partial illumination. This system consists of two stages of building database and recognizing face. One is composed by using the supervised learning of Neural Network. At this time, the Neural Network is applied to the upper and the lower part of face images respectively. The Backpropagation algorithm is used to learn Neural Network. Another consists of calibration of slope of face image, measurement of illumination variant using deviation with average face image and similarity comparison using Euclidean distance measure.

• 한국컴퓨터산업학회논문지
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• 제3권7호
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• pp.915-920
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• 2002

최근 몇 년 동안 몇몇 환경에서 트래픽 패턴이 Poisson 패턴보다 Self-similar 패턴에 더 가깝다는 것이 입증되어 왔다. 본 논문에서는 이러한 Self-similar 확률과정의 정의 및 트래픽의 특성, 그리고 최근 논문들에서 보고된 사례에 대해서 고찰해 봄으로써, 실제의 이동전화 데이터 트래픽 특성에 적합한지를 응용하고자 한다.

• 지식경영연구
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• 제8권1호
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• pp.15-28
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• 2007

In the age where the Internet changes everything, even the earth has become flat. The boarders between nations, locations, times, and industries are not meaningful, and no single company can do the whole process well. Therefore, various types of 'Value network' and 'Relation web' emerge for moving first and learning fast. Both the relationship maturity model (RMM) proposed and the partnership management initiatives at SKT demonstrate that the concept is important, and that the final goal can be reached only through a series of critical outcome at each phase. In particular, recognizing as core infrastructures various online/offline channels, deep trust, and rich communications is an important finding for a successful relationship management. Also, related literatures suggest the following key factors to be influential in more than two phases: professionalism including expertise, similarity, channel infrastructure, trustful/trustworthy, and absorptive capacity. Based on these findings, future efforts need to be put on the research & development of related measurement and management tools. It is hoped that more dance with their partners through these efforts.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 춘계종합학술대회
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• pp.173-178
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• 2001

본 논문에서는 Self-similar 특성을 이용하여 트래픽의 특성을 분석하고, 최근 논문들에서 보고된 사례에 대한 동향과 실제 데이터 트래픽 특성에 대한 분석연구에 대하여 Self-similar 패턴의 분석 결과를 제시한다.