• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.9 no.2
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• pp.127-138
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• 1991

This is a study on the selection of the optimum route using geographic information system. In general, the selection of route was classifed in order of candidate route zone, optimum route zone and optimum route, this study comes under optimum route that is the last part in the route planning. The optimum route is get attined on the weighted matrix table that based on landuse status, land value, slope degree of each grid cell of the test area, and also we suggest application possibility of geographic information system in the route planning with the comparision and analysis of the three selection route in this study.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.20 no.2
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• pp.199-206
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• 2002

The application of GSIS for most route determination is provided by selecting several basic data such as land use, land construction quantity and land price, and then establishing a database to analyze for the route determination. However, this strategy rarely considers the complicated multi-factors that are essential for route determination. To solve this problem, it is required to use the GSIS and attempt to support the decision of majority for optimum route determination and standardize the route determination procedure. Accordingly, in this study, the qualification of multi-factors was attempted using the AHP technique, and so the data for the route determination was provided effectively, which resulted in the optimum route determination. As a result of applying the AHP technique, optimum routes were selected more rationally than randomly applying the values of multi-factors as before.

• Proceedings of the Technology Innovation Conference
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• 2005.02a
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• pp.3-21
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• 2005

기업은 경쟁력 강화를 위해 지속적으로 프로젝트에 자원을 투자해야 하지만 기업의 물리적, 재정적 제약으로 인해 제안된 모든 프로젝트에 자원을 투자할 수가 없다. 따라서 기업의 장기적인 생존을 위해서는 프로젝트 포트폴리오의 최적선정이 필수적 과제이다. 이러한 중요성에 대한 인식으로 현재까지 많은 프로젝트포트폴리오 선정 방법들이 개발되었으나, 프로젝트 포트폴리오 선정을 지원하는 통합화된 프레임워크의 설계에 대한 연구는 미약한 실정이다. 본 연구는 최적 프로젝트 포트폴리오를 선정하기 위한 프레임워크를 설계하는 것으로서 프로젝트 포트폴리오 선정을 위한 설계방법론, 기존 프로젝트 포트폴리오 선정 프레임워크에 대한 분석 및 새로운 프로젝트 포트폴리오 선정 프레임워크의 설계에 대해 서술한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.69-69
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• 2003

• Journal of Navigation and Port Research
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• v.34 no.1
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• pp.59-64
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• 2010

This study is to determine an optimal marina's construction location candidate among many alternative candidates in order to obtain the maximized efficiency under the natural conditions. To deal with marina's construction location, the optimal construction location is selected using 10 important factor analysis for 10 candidates in Yeosu city. In this paper, the new model to assign the most reasonable alternative is introduced using 0-1 integer programming. This proposed model has not been applied in the optimal marina's facility candidate selection problem yet. This paper will contribute to determine the most reasonable alternative. Also, this proposal model can be applied to other marina's facility candidate selection problem in other regions.

• Journal of the Korean Geographical Society
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• v.28 no.2
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• pp.137-147
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• 1993

Terrain is on of the most important factors in the selection of defense areas. The objective of the study is selection optimum defense area between Seoul and Dongducheon using GIS technique. The contents of the study are: (1) to select the defense area by pure terrain factors, (2) to select the defense area with focusing on the avenues of approach, and (3) to compare the above two kinds of area. The study area is located in the northeastern part of Seoul metropolitan area. It is part of Choogaryung Rift Valley which is running from Seoul to Wonsan. Six factors are considered for the selection: tactical distance, direction, elevation, slope, aspect and the distance from main roads. The defense score of each area is calculated by the multiplication of scores of each factors. The optimum defense area I consists of high-mountain areas such as Mt. Dobong, Mt. Wan-gbang, etc. The optimum defense area II consists of high-mountain areas along the three main roads selected. An east-west line of optimum defense area from Kuksabong in the east to Mt. Bulkuk in the west through Chookseok pass is identified from the spatial pattern of the area II. The line is also a dividing line between the northern and the southern watersheds.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.13-25
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• 2004

In the online shopping environment, consumers suffer from the process of selecting an optimal supplier. Although comparison shopping agent-based web sites and consumers' online community sites support the selection process, they have limitations when considering diverse and dynamic purchase conditions as a whole, which is the cause of additional consumer effort for optimal supplier selection. This study provides a decision support model with a sensitivity analysis for selecting an optimal supplier considering purchase conditions as a whole. It screens suppliers with filtering factors and provides optimal suppliers through a sensitivity analysis from a Quadratic Programming model. We implemented a prototype system and showed that it could be an effective decision support system for selecting the optimal supplier in the online shopping environment.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1999.11a
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• pp.205-210
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• 1999

본 연구는 폐열을 이용할 수 있는 배후지역 선정을 위해 필요한 제반 여건 및 국내 주요 공업단지를 대상으로 폐열발생 평가, 타당성 분석 등을 실시하였으며 이의 결과를 토대로 최적의 예비 배후도시를 선정, 제시하였다. 본 연구에서는 최적 배후도시를 선정하기 위해 에너지 흐름, 폐열발생 자원량 평가, 배후도시 선정절차 및 단계 등을 실증적으로 분석하여 제시하였다.

• Proceedings of the KIEE Conference
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• summer
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• pp.57-59
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• 2004

최적 측정위치 선정 알고리즘을 모델 전력 시스템에 적용하였다. 최적 위치는 LQR에 근거한 최적화 방법으로 선정되었다. 제안된 알고리즘은 복잡한 동적 현상과 다수의 동적 방정식으로 표현되는 전력시스템에 적합하다. 제안된 탐색 알고리즘을 모델 전력시스템에 적용하여 유용성을 검증하였다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2009.04a
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• pp.244-245
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• 2009

일반적으로 LiDAR(Light Detection And Ranging)의 자료로부터 3차원 위치정보와 속성 정보를 취득하여 활용 하는 연구가 많이 진행되고 있다. 본 연구에서는 Grid($100m{\times}100m$) 기반인 2차원적 Grid Point를 통해 Sensor Field를 정하고 LiDAR의 3차원적 좌표정보를 이용하여 최적 센서 위치를 선정하고 중간에 장애물(Obstacle)이 존재하는 경우 또한 알고리즘을 통해 최적위치인 Grid point를 선정하였다. 알고리즘은 3가지 측면을 고려하여 분류하였다. 첫째 장애물이 없는(Non Obstacle) 2차원적인 경우, 둘째 장애물이 존재(Obstacle)하는 2차원적인 경우, 셋째 장애물이 존재(Obstacle)하며 3차원적인 알고리즘을 고려하였다. 향후 연구에서는 LiDAR를 직접 적용하여 최적 선정 지역을 도출하여 알고리즘을 적용할 것이다.