• 한국CDE학회논문집
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• 제17권4호
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• pp.225-233
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• 2012

A comprehensive research effort in order to develop and disseminate modernized Korean housing (Hanok) has recently been initiated by Korean government. This large scale research project encompasses a wide spectrum of housing development including public policy, architectural plans, modules, construction materials and methods, prefabricated assemblies, automated production, construction management, and advanced information systems. For the purpose of integrating and automating the whole processes from an industry perspective, it is of great importance to develop a standard classification system and project numbering system (PNS) for the modernized Korean housing. This paper focuses on the standard classification systems and PNS for cost and schedule control. The distinct characteristics and managerial requirements were explored and embedded into the proposed classifications for modernized Hanok.

• 한국게임학회 논문지
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• 제9권1호
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• pp.3-10
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• 2009

본 논문은 중학교 2학년 학생들을 대상으로 한국형 LOGO 프로그래밍을 사용하여 논리적 사고와 이의 하위논리에 대해 어떠한 영향을 미치는지 분석하였다. 그 결과, LOGO 프로그래밍 학습은 학습자의 논리적 사고와 이의 하위논리 신장에 매우 효과적임을 알 수 있다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2014년도 춘계 학술논문 발표대회
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• pp.184-185
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• 2014

International construction contracts to Korean construction companies have been dramatically increased over the 48 years (Contract received worth 65.2 billion dollars in 2013). Especially, the plant construction sector has achieved about 61% among the 65.2 billion dollars. Under this trend, in order to ensure plant construction's competitiveness, 'standard classification' is an important area for systematic management. However, these standards in the plant construction are not widely utilized yet, in comparison with civil and building sectors. Therefore, in this research, a higher level of standard classifications is proposed for various types of power plants from a PMO's (Project Management Office) perspective. This study also provides a comparative analysis outlining different features and common components based on various types of power plants.

• 천문학논총
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• 제9권1호
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• pp.69-84
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• 1994

The spectral types of stars can be classified by using Balmer discontinuity($D_B$) and wavelength(${\lambda}_B$) expressed in terms of effective temperatures appeared in Balmer discontinuity. In this research, in order to classify stars, we used the well established observational data of high dispersion spectrophotometry for the spectral types and luminosity classes of stars in the Breger(1976) catalogue. Balmer discontinuity by effective temperatures of stars was accurately measured, and the ${\lambda}_B$ was replaced to luminosity classes of MK system, because of the close relationship between the As and luminosity classes. We measured the energy gradients(${\phi}_R$) of stars which were expressed as a function of spectral types in the interval of ${\lambda}{\lambda}4,000{\sim}4600{\AA}$, and then obtained a new physical parameter(${\phi}$) from the $D_B$ and ${\phi}_B$. The new parameter, ${\phi}$ can be used instead of HD classifications of stars and can be used widely for spectrophotometrical classifications of stars.

• 지역사회간호학회지
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• 제12권1호
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• pp.3-21
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• 2001

Nursing diagnosis classification is needed to define nursing phenomena and set up nursing plans. The purpose of this study is to develope common nursing diagnosis by comparing and analysing nursing diagnosis classification systems and assessment tools in home care. The target home care nursing diagnosis classifications and tools are HHCC. NANDA. OMAHA. MDS_HC 2.0. OASIS-Bl. Results of this study are as follows: - The number of components of nursing diagnosis classifications and tools is HHCC 4. NANDA 9. OMAHA 4. MDS_HC2.0 6. OASIS-B1 10. - The number of common nursing diagnosis in home care is summed up 51 which are physical heal th 17. social health 5. psychological health 11. health related behavior 13. environment 3.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 1994년도 가을 학술발표회 논문집
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• pp.209-216
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• 1994

Rock mass classifications have played an indispensable role in underground construction for several decades. An important issue in rock mass classifications is the selection of the parameters of greatest significance. There appears to be no single parameter that can fully describe a jointed rock mass for underground construction design. In this paper. We find some problems shen applied rock mass classification for underground construction in domestic, analyze the most significant parameters and parameters correlation influencing the behavior of a rock mass, and suggest the Simplied Rock Mass Rating system based on RMR method for effective underground supports.

• Journal of applied mathematics & informatics
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• 제36권1_2호
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• pp.93-105
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• 2018

There are many metric functions in the plane. In this paper we are to classify the metric functions on the plane using two ways such as using sum of distances between some points when start point and end point is fixed, and using area of transferred triangle consisted of distances between 3 points.

• Communications for Statistical Applications and Methods
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• 제11권1호
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• pp.21-30
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• 2004

Often the accuracy is not adequate as a performance measure of classifiers when costs are different for different prediction errors. ROC and cost graphs can be used in such case to compare and identify cost-sensitive classifiers. We extend ROC and cost graphs so that they can be used when more general cost matrix is given, where not only misclassifications but correct classifications also incur penalties.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2002년도 봄 학술발표회 논문집
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• pp.79-86
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• 2002

Rock mass classifications form the back bone of the empirical design approach and are widely employed in rock engineering. In this paper the inter-relations were discussed among RMR, Q-system, RCR, N, M-RMR, RMi, and L-RMR. Several relationships for the assessment of the modulus of deformation of rock mass, Poisson's ratio, uniaxial compressive strength, tensile strength, cohesion and internal friction angle were also analysed and suggested.

• 지능정보연구
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• 제25권4호
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• pp.123-139
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• 2019

주요 구인구직사이트의 직무분류체계가 사이트마다 상이하고 SW분야에서 제안한 'SQF(Sectoral Qualifications Framework)'의 직무분류체계와도 달라 SW산업에서 SW기업, SW구직자, 구인구직사이트가 모두 납득할 수 있는 새로운 직무분류체계가 필요하다. 본 연구의 목적은 주요 구인구직사이트의 구인정보와 'NCS(National Competaency Standars)'에 기반을 둔 SQF를 분석하여 시장 수요를 반영한 표준 직무분류체계를 구축하는 것이다. 이를 위해 주요 구인구직사이트의 직종 간 연관분석과 SQF와 직종 간 연관분석을 실시하여 직종 간 연관규칙을 도출하고자 한다. 이 연관규칙을 이용하여 주요 구인구직사이트의 직무분류체계를 맵핑하고 SQF와 직무 분류체계를 맵핑함으로써 데이터 기반의 지능형 직무분류체계를 제안하였다. 연구 결과 국내 주요 구인구직사이트인 '워크넷,' '잡코리아,' '사람인'에서 3만여 건의 구인정보를 open API를 이용하여 XML 형태로 수집하여 데이터베이스에 저장했다. 이 중 복수의 구인구직사이트에 동시 게시된 구인정보 900여 건을 필터링한 후 빈발 패턴 마이닝(frequent pattern mining)인 Apriori 알고리즘을 적용하여 800여 개의 연관규칙을 도출하였다. 800여 개의 연관규칙을 바탕으로 워크넷, 잡코리아, 사람인의 직무분류체계와 SQF의 직무분류체계를 맵핑하여 1~4차로 분류하되 분류의 단계가 유연한 표준 직무분류체계를 새롭게 구축했다. 본 연구는 일부 전문가의 직관이 아닌 직종 간 연관분석을 통해 데이터를 기반으로 직종 간 맵핑을 시도함으로써 시장 수요를 반영하는 새로운 직무분류체계를 제안했다는데 의의가 있다. 다만 본 연구는 데이터 수집 시점이 일시적이기 때문에 시간의 흐름에 따라 변화하는 시장의 수요를 충분히 반영하지 못하는 한계가 있다. 계절적 요인과 주요 공채 시기 등 시간에 따라 시장의 요구하는 변해갈 것이기에 더욱 정확한 매칭을 얻기 위해서는 지속적인 데이터 모니터링과 반복적인 실험이 필요하다. 본 연구 결과는 향후 SW산업 분야에서 SQF의 개선방향을 제시하는데 활용될 수 있고, SW산업 분야에서 성공을 경험삼아 타 산업으로 확장 이전될 수 있을 것으로 기대한다.