• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.418-421
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• 2007

In this paper, we proposed a hierarchical nearest-neighbor searching method for deciding fitness of a clustered segment. It is difficult to distinguish the difference between correct spots and atypical noisy spots in footprint patterns. Therefore we could not completely remove unsuitable noisy spots from binarized image in image preprocessing stage or clustering stage. As a preprocessing stage for recognition of insect footprints, this method decides whether a segment is suitable or not, using degree of clustered segment fitness, and then unsuitable segments are eliminated from patterns. Removing unsuitable segments can improve performance of feature extraction for recognition of inset footprints.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.23-29
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• 2002

The design of data processing of GIS requires efficient method with analysis procedure. This system is easy to be used and managed for presenting route according to conditions as a graphic user interface environmental window system by applying three tiers based object-oriented method. The tier of data is in charge of a class for the exchange, extraction and conservation of data between GeoMedia and application tiers. A route selection algorithm was applied to application tiers, considering all conditions which are necessary for the route selection between a beginning point and an end point, and it was added by module such as data handing, road condition, buffering, clothoid and AHP to select the alternative route followed by new condition. The user tier can express the data acquired by an application tier. Thus three tiers based architecture was presented by implementing design of GIB data processing for its efficiency.

• Journal of the Society of Disaster Information
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• v.15 no.4
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• pp.597-606
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• 2019

Purpose: This paper is for the improvement of the safety education system in the construction industry, which has become a great threat to domestic industrial safety. Among the industrial sectors, the accident rate and death rate in the construction industry are the highest, and measures for falls in the litigation work are needed. Method: The application of the Analytic Hierarchy Process(AHP) resulted in the following conclusions. Results: The management group of the construction industry was divided into a group of on-site workers. In addition, the practical education system was reviewed by analyzing differences in perceptions of safety education. The survey results of the two groups were analyzed through AHP by dividing the construction safety education system into three layers. Conclusion: The results showed that managers showed a great deal of importance, such as actual conditions for implementation related to education, while on-site workers indicated importance for items that were somewhat site-oriented compared to managers. In addition, the two groups did not place much weight on the effectiveness of AR and VR, which have been expanding into safety education recently.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.299-302
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• 2007

최근 기업 정보에 대한 온톨로지 구축 필요성이 대두되면서 기업의 투자 비용과 시간을 고려한 온톨로지 구축 대상 선정을 위한 효율적인 기법이 요구되고 있다. 그러나 기존의 온톨로지 구축 방법론에서 제시한 대상선정 기법은 전체를 대상으로 하거나, 특정 영역만을 대상으로 한다는 한계가 있다. 본 논문에서는 정성적요소를 포함하는 다기준 의사결정에서 정량적인 평가를 지원하는 의사결정지원기법인 AHP(Analytic Hierarchy Process:계층화분석법)기법을 온톨로지 구축 대상 선정에 적용하는 방법을 제안한다. 이러한 방법을 통해 온톨로지 적용대상의 우선순위를 결정지을 수 있으며, 기업의 온톨로지 구축시 목표와 전략에 맞는 대상선정의 정량적 기준을 제공할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3733-3739
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• 2010

This paper suggests the measurement method of evaluation of management performance factors in health organization using AHP and Factor Analysis technique. To achieve this goal, this study applies AHP method to different size of hospitals. AHP method is deployed in three steps. At first step, the major factors, which indicate the management performance in health organizations, will be formed through factor analysis. At second step, the pairwise comparison between two factors will be performed to calculate the weights of each variables. At the last step, the order of priority of all factors will be determined. This order list will be used in measurement of the management performance in health organization. The results of this paper show that the financial factors take the top position, and followed by customer related factors, process factors and education & growth factors. This result could be the milestone for the measurement of management performance of medical organization in Korea.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.135-142
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• 2009

Data mining is an emerging area of computational intelligence that offers new theories, techniques, and tools for analysis of large data sets. The major techniques used in data mining are mining association rules, classification and clustering. Since these techniques are used individually, it is necessary to develop the methodology for rule extraction using a process of integrating these techniques. Rule extraction techniques assist humans in analyzing of large data sets and to turn the meaningful information contained in the data sets into successful decision making. This paper proposes an autonomous method of rule extraction using clustering and rough set theory. The experiments are carried out on data sets of UCI KDD archive and present decision rules from the proposed method. These rules can be successfully used for making decisions.

• Communications for Statistical Applications and Methods
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• v.4 no.2
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• pp.333-343
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• 1997

선형회귀분석에서 변수의 선택문제는 최적의 모형을 찾는데 아주 중요한 부분을 차지한다. George와 McCulloch(1993)는 계층적 베이즈 모형과 깁스표본법을 이용하여 선형회귀모형에서 변수를 선택하는 문제를 고려하였다. 이 논문에서는 George와 McCulloch의 모형을 바탕으로 각각의 설명변수가 모형에 포함될 사전확률을 객관적인 기준에 의하여 결정하는 문제를 고려하여 보았다.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.233-233
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• 2006

• 한국IT서비스학회:학술대회논문집
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• 2005.11a
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• pp.608-617
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• 2005

본 연구에서는 정보화지원사업의 실제적인 성과를 보다 객관적이고 합리적으로 평가할 수 있도록 해주는 성과평가항목별 가중치의 산정을 위해 (1) 정보화사업 성과평가에 관한 이론적 고찰 및 현재 실무에서 적용되고 있는 평가항목들에 대한 포괄적인 검토를 통해 (2) 정보화지원사업의 평가기준을 3개 평가시점, 6개 평가영역, 22개 평가항목으로 분류${\cdot}$구성하였으며, (3) 성과평가관련 학계 및 업계 전문가들을 대상으로 자료를 수집하고 계층적 의사결정분석기법(AHP)을 이용한 분석을 통해 각 평가기준의 가중치를 차별적으로 도출하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.362-364
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• 2003

기능 유전체학에서 클러스터링 기법은 고차원의 마이크로 어레이 데이터 분석을 위한 주된 도구 중의 하나이다. 본 논문에서는 정보병목(information bottleneck)기법 기반의 이중 클러스터링에 의한, 유전자 발현 데이터의 계층적 병합방식 클러스터링 기법을 제안한다. 정보병목기법은, 두 랜덤변수의 결합확률분포가 주어진 경우 두 변수의 상호 정보량을 최대한 보존하면서 한 변수를 압축하는 기법이며, 두 변수를 차례로 압축하는 것이 이중 클러스터링이다. 실제 마이크로 어레이 데이터인 NC160 데이터(암세포 내 유전자 발현 데이터)에 대한 실험에서, 먼저 유전자를 그 발현패턴에 따라 클러스터링 한 후 이를 이용하여 표본들을 클러스터링하고 그 성능을 다각도로 분석하였다. 상호 정보량과 유전자 및 표본 클러스터 수와 엔트로피 척도에 의한 성능을 검토해 본 결과, 표본이 추출 조직에 따라 구분 가능할 것이라는 가정을 검증할 수 있었으며, 적절한 클러스터의 수를 결정할 수 있는 임계점의 기준을 설정할 수 있었다.