• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.305-308
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• 2005

해체 준비 작업부터 해체 후 처리까지 가상의 디지털 해체 환경에서 해체 활동의 예측에 필요한 모듈별 기능들을 요소별로 검토 분석하였다. 해체 정보 통합 관리 시스템의 기본 정보를 제공할 수 있는 모듈을 확립하기위해 해체 데이터베이스와 3D CAD 를 연동시키는 방안에 대하여 연구하였다. 3 차원 dosimetric mapping 기술로 방사능 오염 분포를 입체적으로 묘사할 수 있는 모듈과 제염 해체 단위 작업별 평가식과 가중치 값을 이용하여 해체 작업자수와 해체 시간을 평가할 수 있는 모듈을 연구하였다. 연구 결과 가상의 해체 환경에서 연구로 및 원자력 시설 해체시 경제성과 안전성에 영향을 미치는 해체 일정과 해체 비용을 평가할 수 있는 단위 모듈들의 기능을 활용하여 해체 통합 관리 시스템의 설계 기준과 요구 조건 및 기능을 도출하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1640-1644
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• 2007

본 연구에서는 안양천 유역에 대해 왜곡된 물순환을 건전화시키기 위한 유역통합관리 계획을 수립하였다. 대안의 효과분석은 HSPF 모형을 사용하였으며 평가지수는 건천화 방지와 수질개선 효과 요소로 구성되며 각각은 유역통합관리 6단계 결과를 모두 사용할 수 있도록 복합계획법과 지속가능성 개념(압력-상태-반응)을 활용하여 개발되었다. 특히 수량과 수질에 대한 가중치는 유역주민의 의견을 반영하기 위해 실험선택법으로 정량화하여 유역의 속성별로 달리 적용하였다. 대안은 평가지수에 따라 세 등급(Good, Acceptable, Poor)으로 나누어 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.796-799
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• 2020

신경망은 주로 전체 데이터를 중앙에서 학습시키거나 상황에 따라 데이터나 모델을 나누어 분산학습 방법으로 처리해 왔다. 그러나 데이터의 양의 증가와 보안적 이유로 인해 모든 환경에서 기존의 방법을 쓰기에 어려움이 있다. 본 연구에서는 제한된 데이터만으로 모든 데이터로 학습한 것과 같은 학습 효과를 내기 위한 방법을 제안한다. 데이터의 구성이 다른 두 가지 환경인 V-환경과 H-환경에서 학습한 모델을 어떤 방법으로 통합해야 기존의 성능과 비슷한 성능을 낼 수 있는지 연구한다. 우리는 가중치를 합치는 방법을 avg, max, absmas 3가지 방법으로 실험하였으며, 실험 결과로 V-환경에서는 기존의 성능과 비슷한 성능을 보였으며, H-환경에서는 기존의 성능에는 부족하지만, 의미 있는 성능을 보였다.

• The KIPS Transactions:PartB
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• v.10B no.3
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• pp.297-304
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• 2003

Nowdays, with the explosive growth of the web information, web users Increase requests of systems which collect and analyze web pages that are relevant. The systems which were develop to solve the request were used clustering methods to improve the duality of information. Clustering is defining inter relationship of unordered data and grouping data systematically. The systems using clustering provide the grouped information to the users. So, they understand the information efficiently. We proposed a hybrid clustering method to cluster a large quantity of data efficiently. By that method, We generate initial clusters using COBWEB Algorithm and refine them using Ezioni Algorithm. This paper adds two ideas in prior hybrid clustering method to increment accuracy and efficiency of clusters. Firstly, we propose the clustering method considering weight of attributes of data. Second, we redefine evaluation functions which generate initial clusters to increase efficiency in clustering. Clustering method proposed in this paper processes a large quantity of data and diminish of dependancy on sequence of input of data. So the clusters are useful to make user profiles in high quality. Ultimately, we will show that the proposed clustering method outperforms the pervious clustering method in the aspect of precision and execution speed.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.199-199
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• 2021

한국농어촌공사에서는 과학적이고 체계적인 농업기반시설 및 용수관리로 재해를 예방하고 물관리의 효율성 증대를 위한 유지관리 종합정보시스템인 농업기반시설관리시스템을 구축하여 운영중에 있다. 한국농어촌공사는 2012년부터 저수지별 일공급량을 측정하여 기록 관리하고 있어, 저수지의 수위차와 공급량을 사용하여 저수지의 일유입량을 산정 할 수 있는 체계를 구축하였고 저수지 종합건전성 평가를 위해 이 자료를 사용하였다. 수량부문은 수문학적으로 하천환경 및 수생태계에 민감한 영향을 끼치는 인자들로 지표를 구성하였다. 선정된 지표는 High Flow, Low Flow, Seasonality, Zero Flow, Variability로 구성하였다. 수질부문은 자연적 요인과 사회·경제적 요인 기준에 의한 분류를 통해 저수지의 건전성 상태를 파악할 수 있는 지표를 선정하였다. 자연적 요인은 환경부의 수질환경기준에 제시된 항목 중 저수지 건전성을 대표할 수 있는 수온, DO, COD, SS, TN, TP 및 TOC를 선정하였다. 농업용 저수지 수량·수질을 고려한 수환경 평가체계 적용을 위해 적누, 이담, 송고 저수지를 선정하였다. 3개 저수지를 대상으로 수량, 수질 부문으로 나누어 부문별 건전성 및 종합건전성 평가를 수행하였다. 선정된 지표의 분석단위를 통일시키기 위하여 표준화를 수행하였으며 자료의 왜곡정도가 큰 경우에는 로그변환을 취하여 표준화를 수행하였다. 가중치 적용은 주관적인 견해가 들어갈 수 있는 전문가의 설문에 의한 방법보다는 수학적 방법을 이용한 주성분과 엔트로피 가중치 방법을 적용하였다. 최종적으로 산정된 지수에 따라 하천별 현황을 주제별, 시기별로 검토하였으며 객관적이고 이해가 쉽게 5개 등급으로 등급분류를 해 저수지별 건전성 정도를 쉽게 파악할 수 있도록 하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.5B
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• pp.324-329
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• 2005

In the traditional telephone services, the settlement method for usage of facilities has been systematically and reasonably arranged based on the cost. Through the advanced technology, the telecommunication services such as the convergence of voice-data, wire-wireless, communication-broadcasting, etc are offering. So, new settlement method in the broadband convergence network (BCN) should be necessary. This paper suggests inter-companies settlement method in the broadband network using interconnection bandwidth and transmission distance factor. By reflecting the facility cost weight on each BCN level, the cost settlement for various services can be easily done. As the settlement model for BCN, the inter-companies interconnection and settlement can be normalized by interconnection bandwidth and transmission distance factors.

• Journal of Wetlands Research
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• v.23 no.4
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• pp.327-341
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• 2021

The riparian eco-belt is an efficient technique that can reduce non-point pollution sources in the basin and improve ecological connectivity and health. In Korea, a legal system for the construction and management of riparian eco-belts is in operation. However, it is currently excluded that rivers and floodplains in dam reservoir that are advantageous for buffer functions such as control of non-point pollutants and ecological habitats. Accordingly, this study presented and analyzed a plan to select a site for an integrated riparian ecol-belt that comprehensively evaluates the water quality and ecosystem characteristics of each dam floodplain and riparian zone for the Daecheong Dam basin in Geum River watershed. First, the Daecheong Dam basin was divided into 138 sub-basin with GIS, and the riparian zone adjacent to the dam floodplain was analyzed. Sixteen evaluation factors related to the ecosystem and water quality impact that affect the selection of integrated riparian eco-belt were decided, and weights for the importance of each factor were set through AHP analysis. The priority of site suitability was derived by conducting an integrated evaluation by applying weights to sub-basin by floodplains and riparian zone factors. In order to determine whether the sites derived through GIS site analysis are sutiable for actual implementation, five sites were inspected according to three factors: land use, pollution sources, and ecological connectivity. As a result, it was confirmed that all sites were appropriate to apply integrated riparian ecol-belt. It is judged that the riparian eco-belt site analysis technique proposed through this study can be applied as a useful tool when establishing an integrated riparian zone management policy in the future. However, it might be necessary to experiment various evaluation factors and weights for each item according to the characteristics and issues of each dam. Additional research need to be conducted on elaborated conservation and restoration strategies considering the Green-Blue Network aspect, evaluation of ecosystem services, and interconnection between related laws and policy and its improvements.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.1-8
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• 2007

As the web document of XML, an exchange language of data in the advanced Internet, is increasing, a target of information retrieval becomes the web documents. Therefore, there we researches on structure, integration and retrieval of XML documents. This paper proposes a clustering method of XML documents based on frequent structures, as a basic research to efficiently process query and retrieval. To do so, first, trees representing XML documents are decomposed and we extract frequent structures from them. Second, we perform clustering considering the weight of large items to adjust cluster creation and cluster cohesion, considering frequent structures as items of transactions. Third, we show the excellence of our method through some experiments which compare which the previous methods.

• Journal of the Korea Society of Computer and Information
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• v.10 no.2 s.34
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• pp.1-10
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• 2005

In this Paper, we propose a new block matching a1gorithm that extracts motion vectors from consecutive range data. The proposed method defines a matching metric that integrates intensity, hue, and range. Our algorithm begins matching with a small matching template. If the matching degree is not good enough, we slightly expand the size of a matching template and then repeat the matching process until our matching criterion is satisfied or the predetermined maximum size has been reached. As the iteration proceeds, we adaptively adjust weights of the matching metric by considering the importance of each feature. In the experiments, we show that our block matching approach can work as a promising solution by comparing the proposed method with previously known method in terms of performance.

• Korean Institute of Interior Design Journal
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• v.20 no.5
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• pp.34-41
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• 2011

Today, residential building is considered of be one of the most important space of their quality of life and health. Residential buildings should provide comfortable environments to support the activities of their occupants. And good residential buildings are made by appropriately combining residential spaces, such as living room, master bedroom, bedroom, kitchen, restroom, and so on. These combinations in residential building are must be compatible with the activities of the occupants and their needs. The objective of this research is to investigate and analyze the relative importance and space priority between residential space in residential buildings depending on occupants' characteristics, such as, gender and age. Especially, this research is to find space weighting factors for integrative evaluation in residential buildings based on occupant survey. These weighting factors play an important role in determining the relative importance of various residential spaces for integrative residential space evaluation. And, the result from this research will help designers and researchers to find space planning strategies in residential building, and develop new integrative evaluation framework for improving residential quality from the occupants' point of view.