• 한국관개배수회지
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• no.48
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• pp.69-80
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• 2011

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2016.03a
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• pp.40-42
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• 2016

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.258-267
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• 2009

This study purposed to develop GIS model for evaluating hospital location in a metropolitan city. Secondly, the suitability score of hospital was compared with the number of outpatient/inpatients of hospitals. This study used administrative data collected from the annual report of the 5 ward offices from Daejeon in Korea in 2004. 7 Acute care hospitals operated in Daejeon in 2004 were selected for the analysis. The suitability of hospitals in a metropolitan city was evaluated by the economic factors which were assumed to influence the health care demand. Each criterion was measured from each Dong. Correlation coefficients between the suitability score of hospital and the number of patients were varied depending on the buffering size. The relationship showed positive relationship with the number of inpatient (0.15) and outpatients (0.10) on the 0.5km buffering size. However, the correlation coefficients were changed to a negative direction or decreased when the buffering size was increased to 1.0km, 1.5km, and 2.0km.

• Journal of Korean Society of Forest Science
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• v.90 no.4
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• pp.437-444
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• 2001

This paper discusses applications of neural network to forest stand field data processing and determining suitable tree species for site-specific stand characteristics. For site-specific species selection, considered were 5 major coniferous species : P. densiflora for. erecta, L. leptolepis, P. koraiensis, P. densiflora, P. thunbergii. Among 1,320 sample plot data sets, 200 data sets with the highest site index (40 data sets for each species) were chosen as the test sets for investigation. Each data set includes 13 factors describing the site characteristics of the corresponding sample plot. The results of this investigation indicate high performance of neural network in data processing procedures for extracting data sets or measurement parameters without any recognizable pattern. These data sets or measurement parameters are those which have rare effect on site-specific species suitability or disturb pattern classification procedures of neural network because of unrecognizable patterns involved. Also the results have shown high potential of neural network in determining the best-suitable tree species for site characteristics. The % accuracy of the neural network model in determining the best-suitable tree species for site characteristics ranges from 77.6% to 91.8% associated with the combination of Site factors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.704-708
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• 2000

6 시그마는 기존의 많은 방법론을 통합하고, 대상범위를 확대하여 조직적 활동, 전사적 활동으로 유도하는 체계성을 가지고있는 것으로 기존의 품질경영 기법과 완전히 다른 것은 아니다. 따라서 6 시그마를 효과적으로 도입하기 위해서는 기존의 기법이나 방법들이 바탕이 되어야 한다. 국내 기업들이 많은 초기비용을 투입하여 6 시그마를 적용하는 것은 프로젝트수행으로 인한 기대효과 때문이지만 기존의 방법이나 기법들을 무시하고 처음부터 다시 시작하는 것은 인력이나 장비운용의 비효율적인 부분이 적지 않고, 그에 따른 비용낭비도 적지 않게 발생하고 있다. 이 논문에서는 6 시그마 프로젝트 선정에 기존의 신제품 설계에 주로 적용해 오던 품질기능전개와 효율성 평가에 적용되어 오던 DEA를 어떻게 적용시킬 수 있는지를 알아보고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1143-1145
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• 2012

본 연구에서는 인천 지역의 범죄의 특성 지역을 분석하기 위하여 기존의 이론적인 논의에 기초하며 AHP와 GIS와 연계를 통해 분석하고자 하였다. 이를 위해 인천의 범죄 우발지역을 볼 수 있는 공간적 패턴과 경찰서 내지 파출소의 적지를 선정하고 자료 분석 및 데이터 수집과 통틀어 공간 분석을 수행하며 이러한 분석을 통해 얻어진 여러 가지 요인들과 범죄 율을 나타내어 최종 자료를 구현하기 위한 연구를 한다. 범죄 율의 공간적 표현을 위해서 수식을 이용하여 범죄 율을 구했으며 인구 및 정확한 데이터들을 수집하여 분석하고 그대로 반영한다. AHP를 이용하여 설문조사 및 객관적인 판단과 가중치를 판단할 수 있는 중요한 척도가 되었으며, 이것들을 반영하여 최종 결과물에 현실성을 더하여, 실제로 예방조치를 취할 수 있도록 할 수 있을 것이다. 또한 GIS 소프트웨어에서 제공되는 좌표체계와 데이터베이스 및 SQL 등을 이용하여 현실성과 정밀성을 더하여 활용될 수 있음을 확인하였다.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 1996.10a
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• pp.13-13
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• 1996

• Proceedings of the Korean Environmental Sciences Society Conference
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• 1997.10a
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• pp.133-135
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• 1997

• Journal of Bio-Environment Control
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• v.25 no.1
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• pp.1-8
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• 2016

This study was conducted to find the suitability site for the construction of Saemangeum horticulture complex taking into account cost-effective environmental management by analyzing and comparing meteorological conditions. By overlapping the thematic maps, we extracted the regions that scored 50-59 points as suitable sites for the development project. Of these pre-selected sites, we selected the final candidate region for the protected horticulture by overlapping the sites selected for agricultural and living environment construction. The results of this study will contribute to generating added values by minimizing the environmental management costs for horticulture and landscaping. The operation of a large-scale protected horticulture and landscaping in the Saemangeum Complex will enhance the agricultural competitiveness of our country in the global market.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.4
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• pp.33-49
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• 2000

This research demonstrates the application of GIS to the selection of the waste landfill site through the case study of a urban area. The estimation factors for the suitability analysis of the waste landfill site were determined. The database was built through collection, input, and transformation of data. The recent land cover classification data and NDVI data which were obtained through processing of satellite imagery were incorporated into GIS data as estimation factors. The relative weights of importance among 2nd category estimation factors were determined by the pairwise comparison method. Also relative weights of 1st category estimation factors which are divided into the social-economical factor and the natural environmental factor were combined with those of 2nd category estimation factors. As the results of this case study, the suitability analysis was conducted in accordance with various estimation criteria. The highest suitability index was obtained in the case where we considered the relative weights of 2nd category estimation factors as different in the viewpoint which regards the social economical factor as important.