• Journal of Technology Innovation
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• v.19 no.1
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• pp.55-78
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• 2011

The social impact of science and technology is increasing, the meaning of technology assessment is not small in modern society, Specially, the technology assesment(TA) has been institutionalized and performed by Korean administration and its official results has reflected directly in the S&T policy. Therefore, the technology assesment is a device that prepare the negative effects of S&T and the social controversy in advance. To select the target technology of technology assessment will be done carefully in various perspective and concerned with the characteristics of technology assessment emphasizing social assessment, the institutional system of selecting one technology in each year and the contents and methods of evaluation that are determined in accordance with technology characteristics. However, the method of selecting target technology in TA is mostly peformed by qualitative discussion and vote rather than by reflecting various opinion and understanding TA until now. In this paper, we developed the indicator has to be considered to select target technology for TA by using factor analysis. Developed indicator is consist of five factor, such as the need for social consensus and the size of social/cultural impact etc., and we weight each factor by using Analytic Hierarchy Process(AHP). Futhermore, we show the example how to applicate directly these indicator and weights to select target technology and suggest institutional application in TA. Though using developed indicator in this paper, we expect to select appropriate technology for institutional TA and the application of TA results in society and public policy can be strengthened.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.2
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• pp.101-113
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• 2013

The concern on environmental quality makes the landscape analysis more important than before ever. For the landscape analysis, selection of viewpoint is one of most important stage. Because of its subjectiveness, the conventional viewpoint selection method often missed some viewpoints of importance. The purpose of this study is to develop a viewpoint selection method for landscape analysis using GIS data and techniques. During the viewpoint selection process, spatial and attribute data from several GIS systems were hired. Query and overlay methods were mainly adapted for analysis to find out meaningful viewpoints. The 3D simulation analysis on DEM(Digital Elevation Model) was used for every selected viewpoint to examine wether the view target is screened out or not. Application study at a sample site showed some omissions of good viewpoints without any screening. It also exhibited the possibility to reduce time and cost for the viewpoint selection process of landscape analysis. For the progress of applicability, GIS data analysis process have to be improved and more modules such as automatic screening analysis system on selected viewpoint have to be developed.

• Journal of KSNVE
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• v.7 no.2
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• pp.189-198
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• 1997

현재 행해지고 있는 환경 기술자에 의한 공해성 환경영향평가와 택지조성사업, 터널공사, 각종 도로공사, 건물 해체 작업시 이루어지는 발파 기술자에 의한 발파 영향평가 및 토목. 건축 기술자들에 의해 시공현장에서 주로 행해지는 기타 건설 소음. 진동 영향평가는 진단 개념에서 볼 때, 측정목적과 측정대상에 따른 각종 기준적용과 측정방법 및 분석절차 상에서 몇가지 문제점을 안고 있으며 실제 현장 계측시에도 측정위치 선정, 센서부착 방법, 측정 횟수 및 측정 모드 선정 등에서 상당한 오류를 범하는 것을 종종 볼 수 있다. 따라서 본 연구에서는 각종 소음. 진동 영향평가의 현실태 및 피해 대상물에 대한 진단시 우려되는 기준 적용, 측정 및 분석상의 문제점들을 조사하고 개선방안을 살펴봄으로써 소음. 진동 피해진단 기술을 정립하고 향후과제에 대해 논의하고자 한다.

• Journal of Korean Library and Information Science Society
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• v.43 no.3
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• pp.457-479
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• 2012

This paper strives to illustrate the selection processes in public libraries. It specifically attempts to survey the budget allocation, collection development policy, usage of selection criteria, and priority of selection decision in collection development units in public libraries. Staff structure, committee activities, methods of selection, usage of selection tools and librarians' recognitions about selection process are also investigated. Data are drawn from a survey with 315 public libraries in the country. Specific statistics to be analyzed via literature, although not detailed in nature, are scrutinized as well. As a conclusion, the paper discusses such an issue as current situation in selection of materials public libraries and possible impetus toward a better collection development process.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.887-896
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• 2002

Based on SPICE (Software Process Improvement and Capability dEtermination) evaluation model, SPIRE (Software Process Improvement in Regions of Europe) is developed and published as a process improvement model for small and medium size organizations. However, practical selection guidelines or mapping rules between business goals and software processes do not exist within SPIRE. This research aims to construct an objective reference mapping table between business goals and software processes, and to propose a process selection method using the mapping table. The mapping table is constructed by the convergence of domestic software process experts' opinions using Delphi techniques. In the suggested process selection method, target processes are selected using the intuition of project participants or project managers as well as the reference mapping table. The feasibility of the proposed selection method has been reviewed by applying to two small software companies. Using the reference mapping table, we could select key processes which were passed over by project managers.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.837-841
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• 2008

하수관거정비 전 후에 문제관을 판별하고 원인분석에 사용되어지는 불명수 산정방법이 대상유역을 평균적으로 분석하는 방법을 주로 사용하고 있고 이러한 분석방법조차 정확히 어느 정도 실제 불명수 발생량과 일치하는지에 대한 연구도 미비한 실정으로 분석방법의 적용성에 대한 평가가 시급한 상태이다. 본 연구에서는 직접측정이 가능한 대상유역내에서 직접측정과 기존 문헌상 제시되어 있는 침입수/유입수 분석방법(물사용량 평가방법, 일 최대 침입수량 평가방법, 최대-최소 유량 평가방법, 야간 활동인구 사용수량 평가방법, 일 평균 최저유량-수질 평가방법)을 사용하여 하수관거내 I/I량을 산정하였으며, 동일 기간내 실제 현장의 I/I량을 산정하여 비교하였다. 대상지역은 H시로 조사지점은 사전답사 후 6개의 직접측정지점을 선정하고 소유역의 하단에는 유량계를 사용하였으며, 본 조사지역의 주변에 공장이나 물사용량이 많은 시설물은 없었으며 따라서 야간에는 하수발생량이 적게 발생되고, 보다 정확한 조사를 위하여 유량이 거의 발생하지 않는 새벽시간에 직접측정을 실시하였다. 조사기간은 2007년 10월29일부터 11월13일까지 측정하였고 수질의 경우 11월3일과 6일의 평균 채수 값을 사용하였다. 본 연구를 수행한 결과 본 연구의 대상지역인 주거지역이 밀집된 경우 야간생활하수량이 적용되는 야간 생활 하수평가기법이 가장 합리적인 것으로 분석 되었다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.706-708
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• 2005

본 연구에서는 다단계 필터와 복합형 신경망을 사용하는 얼굴 검출 시스템에서 FMM 모델을 이용한 특징선정 기법을 소개한다. 색상, 모션 및 명암을 이용한 다단계 필터는 검출 대상 영역의 개수를 줄임으로써 시스템의 실시간 검출기능을 가능하게 한다. 신경망을 이용한 특징추출 단계에서는 대상영역의 기본 특징으로부터 일련의 특징지도를 생성하게 된다. 이 과정에서 패턴 분류 신경망의 입력으로 사용되는 특징집합이 지나치게 커짐으로써 신경망의 규모와 계산량이 방대해지는 단정을 갖는다. 이에 본 논문에서는 FMM 모델의 수정된 특성으로부터 특징과 각 클래스에 대한 상호 연관도 요소를 정의하고, 이로부터 특징의 상대적 중요도를 평가함으로써 성능의 저하 없이 최적의 특징집합을 선정하는 방법론을 소개한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.1 no.2
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• pp.14-25
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• 1998

The purpose of this paper is to select proposed waste facilities sites after consideration of relative importance of siting factors. From the literature review we have established the siting factors affecting selecting waste facilities sites, and constructed hierarchy of siting factors to evaluate the relative importance of the factors using Analytical Hierarchy Process(AHP). After mail surveying of expert group, we have analyzed the relative importance of siting factors affecting waste facilities. We have constructed Geographic Information System(GIS) of raster type, based on seventeen theme maps of siting factors on waste facilities, to select the proposed waste facilities sites after consideration of the relative importance of the siting factors for Gyongsan city, in Korea. After applying linear combination method, and factor combination method to overcome the methodological limitations of land suitability analysis, we have found five proposed sites, where intersected with proposed sites obtained from the two methods. From this research we have found that 1) methodologically, using GIS for selection of proposed waste facilities sites turned out to be highly useful, 2) application of relative importance of siting factors and two methods of land suitability analysis in selection of proposed waste facilities sites are pertinent enough to provide valid and reliable results, and 3) the research methods and approach employed in this research will be highly useful in site selection of other major facilities.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.377-380
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• 2005

LCD 패널제조 사업장에서 발생되는 공정데이터는 매일 1${\sim}$2Gb에 달한다. 또한 관리대상 공정 및 품질 특성은 수백개에 이른다. 적절한 SPC Plan에 따른 주요관리대상 공정특성의 선정과 이에 기초한 데이터베이스의 설계 및 Legacy system과의 인터페이스, 그리고 메시지와 데이터송수신 시스템의 주요방법론을 논하고자 한다. 주요 내용으로는 LCD 산업에서의 SPC 시스템을 시스템의 관점에서, 그리고 시스템 Performance의 향상을 위한 방법론 등을 들 수 있다.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.3
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• pp.79-84
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• 2021

A feature extraction method capable of reflecting features well while mainaining the properties of data is required in order to process high-dimensional data. The principal component analysis method that converts high-level data into low-dimensional data and express high-dimensional data with fewer variables than the original data is a representative method for feature extraction of data. In this study, we propose a principal component analysis method based on adaptive correlation when selecting principal component variables in principal component analysis for data feature extraction when the data is high-dimensional. The proposed method analyzes the principal components of the data by adaptively reflecting the correlation based on the correlation between the input data. I want to exclude them from the candidate list. It is intended to analyze the principal component hierarchy by the eigen-vector coefficient value, to prevent the selection of the principal component with a low hierarchy, and to minimize the occurrence of data duplication inducing data bias through correlation analysis. Through this, we propose a method of selecting a well-presented principal component variable that represents the characteristics of actual data by reducing the influence of data bias when selecting the principal component variable.