• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.232-239
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• 2006

최근 전 세계적으로 서비스 산업의 노동력 비중이 늘어나고 서비스업 뿐만 아니라 농업 및 제조업 분야에서도 서비스의 가치 비중이 높아지고 있다. 그러나 최근까지 서비스는 대부분 제공자의 직관과 경험에 의존하여 운영되었기 때문에 서비스의 성과와 고객 만족도는 미미한 수준에 그칠 수밖에 없었다. 이에 따라 서비스의 생산성을 향상시키고 서비스 수준을 혁신하는 방법을 찾는 것이 산업 사회의 주요 현안으로 떠올랐고 이러한 배경 하에 서비스업의 본질을 과학적으로 규명하여 서비스 분야의 혁신을 이루기 위해 경영학, 사회과학, 산업공학 등 여러 분야의 지식을 종합하여 서비스 과학(Services Science)이라는 새로운 학문 분야를 만들려는 움직임이 일기 시작했다. 서비스 과학의 목적은 공급자와 고객 사이에 가치를 창출하는 일련의 과정인 서비스를 보다 과학적인 방법을 통하여 측정하고 예측할 수 있는 것으로 변환시킴으로써 서비스의 미래 가치와 위험을 정량적으로 예측하고 나아가 서비스의 성과와 만족도를 높이는 것이라고 할 수 있다. 본 연구에서는 U-city 건설에 중추적 역할을 할 것으로 기대되는 지리정보시스템(GIS)의 비즈니스 모델을 대상으로, GIS 정보 서비스의 특성을 규명하여 이러한 정보 서비스가 높은 생산성을 갖기 위한 방안으로서 다학제적 관점의 공유를 통해 다양한 학문 분야의 지식을 종합 적용하고 서비스의 특성을 고려하여 직관과 경험이 아닌 과학적인 도구와 방법론을 통해 GIS 정보 서비스를 관리할 것을 제안한다.

• TTA Journal
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• s.144
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• pp.18-19
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• 2012

최근 지식경제부 산하 산업기술연구회가 앞으로 10년간 한국을 먹여 살릴 최고 수준의 기술 14가지를 발표했다. 산업기술연구회 산하 7개 출연연구기관은 지난해부터 매년 '세계 1등 연구과제'를 지정받아 세계 최고 수준의 성과를 내놓고 있다. 이 가운데 세계 1위를 달리고 있는 기술은 한국생산기술연구원의 '에코 알루미늄 에코 마그네슘'과 '해조류 셀룰로오스 등을 이용한 연료 생산 기술', 한국전자통신연구원의 '100배 빠른 광인터넷 기술', 한국건설기술연구원의 '세상에서 가장 긴 콘크리트 교량 기술', 한국철도기술연구원의 '콘크리트 발열 촉진 양생 기술'을 비롯해 '저심도 도시철도 시스템 기술'과 초경량 유리섬유 복합소재 전동차 대차 프레임', 한국화학연구원의 '하이브리드 나노세공체 응용 연구' 등 8가지이다. 이 중 몇 가지 기술을 살펴보자.

• Nuclear industry
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• v.26 no.4 s.278
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• pp.85-103
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• 2006

국제원자력규제자협의회(INRA) 정식 가입/ "원자력 기술 주도국으로 부상"/ "방패장 건설 사업 착실히 추진"/ 방폐장 처분 방식 "객관적이고 투명하게"/ 인도네시아 국회의장 고리 원전 방문/ 세계 원자력 안전 전문가들 한 자리에/ 아시아 태평양 지역 17개국 원자력 협력 토의/ 국제핵융합실험로(ITER) 공동이행협정문서 최종 확정/ 한 · IAEA, 원자력방호기술 향상 방안 협의/ 울진 원전 6호기 리스크 정보 활용 정기 검사 수행/ IAEA, 국내 원전 안전 점검 협의 위해 방한/ 중국 원전 기술단 방한/ 울진 원전 총발전량 4천억kWh 돌파/ 원전 안전 관리 실태 불시 점검 결과 양호/ '핵융합연구센터' 공식 출범/ 핵융합에너지개발진흥법 제정을 위한 공청회 개최/ 제9차 한-미 안전조치 기술협력 회의 개최/ 개량핵연료 'PLUS7' 첫 상용화/ 베트남 원자력 협력 강화 워크숍 개최/ "2015년엔 세계 최우수 발전회사"/ 'APR1400'중국에 적극 홍보/ 한수원, 협력기업에 500억원 지원/ "한국 원자력 도입 경험 배우겠다"/ 방사선원 사고 대비 예방 안전 체계 구축/ "한수원 신용 등급 A+"/ 울진 6호기 '첫번째' 계획 예방 정비착수/ '2006 원자력 체험전' 개최/ 원자로 내부 이물질 감시 시스템 개발/ 월성 3호기 정비 완료, 발전 재개/ IAEA안전조치이행자문단 월성 원전 방문/ 제11회 원자력안전기술정보회의 개최/ 월성 1호기 방사능 방재 전체 훈련 실시/ (주)선바이오텍, 첫 '연구소 기업' 공식 승인/ 방사선원 안전성 향상 워크숍 개최/ 양성자 가속기 사업 본격 궤도에/ 스웨덴 프로스마르크 원전 관계자 방한/ "방폐장 유치한 성숙한 시민 의식 감탄" / "올해는 혁신을 체질화하겠다"/ KAERI, 연구윤리위원회 발족/ 2005년 지식 활동 우수 그룹 포상/

• Journal of the Korea Society of Computer and Information
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• v.14 no.8
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• pp.127-136
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• 2009

Voice of the customer(VOC) is a term used in business and information technology(IT) to describe the process of capturing a customer's requirements in enterprises or various organizations. Recently, in order to satisfy customer's needs, enterprises try to utilize VOC at recurrence prevention of problems and their improvement activities, planning and development of product/service by processing, storing, and analyzing VOC. Until now, VOC management systems are introduced around service industries such as hotel business and insurance/financial business, etc. This paper proposes an integrated management scheme of VOC which are captured by various communication channels and describes a case of implementing an integrated VOC management system on the basis of the proposed scheme for the large-scale manufacturing company. By the implemented system, VOC are stored and utilized as the important knowledge assets of enterprises.

• Journal of KIBIM
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• v.2 no.2
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• pp.37-45
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• 2012

Modular bridge construction enabling better productivity of design and construction by standardized members and robotic construction becomes an important issue in construction industry. Modular structures needs accurate information delivery between design, fabrication and construction processes. BIM (Building Information Modeling) based parametric modeling was proposed for the modular bridge substructure. Considering ranges of parameters of the modular bridge, fixed value, variables and relations were defined and these parametric models were applied to design, analysis and fabrication. Experience from development of new structures can be embedded in the 3D models, and the models provide efficient and precise knowledge delivery.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.475-481
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• 2019

The importance of performance-based design feedback is being emphasized when it comes to the potential impact that affects all the lifecycle of the building. However, the latency and disconnection of domain expert in the sector of AEC/FM remain current obstacles between design and performance feedback. It is hard to utilize performance feedback information for design exploration and support design decision making during the conceptual phase of design. Using parametric design, this paper proposes various design alternatives from a set of rules and constraints defined by algorithms for the geometric configurations of an Office Building. A Building Performance Analysis (BPA) was to developed using Autodesk® Revit® 2019 which integrates Autodesk® Green Building Studio® to predict its sufficient daylighting conditions of the LEED v4's Daylighting Autonomy (DA). The parametric-based performance feedback of this study outlines potential design improvements for further exploration in application to the early design process.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.1C
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• pp.65-76
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• 2010

Recent earthquake events revealed that severe seismic damages were concentrated mostly at sites composed of soil sediments rather than firm rock. This indicates that the site effects inducing the amplification of earthquake ground motion are associated mainly with the spatial distribution and dynamic properties of the soils overlying bedrock. In this study, an integrated GIS-based information system for geotechnical data was constructed to establish a regional counterplan against ground motions at a representative metropolitan area, Seoul, in Korea. To implement the GIS-based geotechnical information system for the Seoul area, existing geotechnical investigation data were collected in and around the study area and additionally a walkover site survey was carried out to acquire surface geo-knowledge data. For practical application of the geotechnical information system used to estimate the site effects at the area of interest, seismic zoning maps of geotechnical earthquake engineering parameters, such as the depth to bedrock and the site period, were created and presented as regional synthetic strategy for earthquake-induced hazards prediction. In addition, seismic zonation of site classification was also performed to determine the site amplification coefficients for seismic design at any site and administrative sub-unit in the Seoul area. Based on the case study on seismic zonations for Seoul, it was verified that the GIS-based geotechnical information system was very useful for the regional prediction of seismic hazards and also the decision support for seismic hazard mitigation particularly at the metropolitan area.

• Journal of Korea Spatial Information System Society
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• v.10 no.4
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• pp.67-75
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• 2008

This study is for the effective training strategy of human resources for the u-City construction to support the u-City human resource development plan of the Ministry of Land, Transport and Maritime Affairs (MLTM). One of the biggest problems concerning u-City is the shortage of advanced human resources for the u-City constructions. The characteristic of u-City makes u-City related human resources had knowledge of various fields including IT, GIS, construction engineering, urban planning and so on. But, there are only a few programs to train u-City related human resources. Therefore, this research established the objective of the training strategy for u-City human resource development as "the training strategy of human resources for the successful u-City constructions". To achieve this objective, four different core strategies are established like followings: (1) demander-oriented education, (2) regional balanced education, (3) integration education of u-City related subjects, (4) u-City related education infrastructure development. These 4 different core strategies can be achieved from 5 sub projects like followings: (1) demand estimation of u-City human resources, (2) u-City education from selected regional core universities, (3) u-City education from u-City human resource education centers, (4) online education and (5) construction of education infrastructures. These 5 interrelated sub projects can be preconditions of the successful human resource strategy development.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.77-97
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• 2010

Market timing is an investment strategy which is used for obtaining excessive return from financial market. In general, detection of market timing means determining when to buy and sell to get excess return from trading. In many market timing systems, trading rules have been used as an engine to generate signals for trade. On the other hand, some researchers proposed the rough set analysis as a proper tool for market timing because it does not generate a signal for trade when the pattern of the market is uncertain by using the control function. The data for the rough set analysis should be discretized of numeric value because the rough set only accepts categorical data for analysis. Discretization searches for proper "cuts" for numeric data that determine intervals. All values that lie within each interval are transformed into same value. In general, there are four methods for data discretization in rough set analysis including equal frequency scaling, expert's knowledge-based discretization, minimum entropy scaling, and na$\ddot{i}$ve and Boolean reasoning-based discretization. Equal frequency scaling fixes a number of intervals and examines the histogram of each variable, then determines cuts so that approximately the same number of samples fall into each of the intervals. Expert's knowledge-based discretization determines cuts according to knowledge of domain experts through literature review or interview with experts. Minimum entropy scaling implements the algorithm based on recursively partitioning the value set of each variable so that a local measure of entropy is optimized. Na$\ddot{i}$ve and Booleanreasoning-based discretization searches categorical values by using Na$\ddot{i}$ve scaling the data, then finds the optimized dicretization thresholds through Boolean reasoning. Although the rough set analysis is promising for market timing, there is little research on the impact of the various data discretization methods on performance from trading using the rough set analysis. In this study, we compare stock market timing models using rough set analysis with various data discretization methods. The research data used in this study are the KOSPI 200 from May 1996 to October 1998. KOSPI 200 is the underlying index of the KOSPI 200 futures which is the first derivative instrument in the Korean stock market. The KOSPI 200 is a market value weighted index which consists of 200 stocks selected by criteria on liquidity and their status in corresponding industry including manufacturing, construction, communication, electricity and gas, distribution and services, and financing. The total number of samples is 660 trading days. In addition, this study uses popular technical indicators as independent variables. The experimental results show that the most profitable method for the training sample is the na$\ddot{i}$ve and Boolean reasoning but the expert's knowledge-based discretization is the most profitable method for the validation sample. In addition, the expert's knowledge-based discretization produced robust performance for both of training and validation sample. We also compared rough set analysis and decision tree. This study experimented C4.5 for the comparison purpose. The results show that rough set analysis with expert's knowledge-based discretization produced more profitable rules than C4.5.