• 제목/요약/키워드: Evaluation Set

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BIM 기반 에너지성능평가를 위한 국내 표준 매개변수 설정 방안에 대한 연구 - 공공청사 업무시설의 재실자 1인당 점유면적을 중심으로 - (A Study on Domestic Standard Parameter Setting for BIM-based Energy Performance Evaluation - Focused on Possession Area per Person of Occupants in Government Offices -)

  • 이윤정;이권형;김인한;추승연
    • 한국CDE학회논문집
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    • 제20권1호
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    • pp.11-21
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    • 2015
  • Currently, the United States, the United Kingdom, Australia etc. are actively utilizing energy simulation for efficiency evaluation of building energy. However, domestic energy efficiency assessment system doesn't use energy simulation system properly at present: parameters based architecture plans and Ashrae Standard are inputted for the evaluation, because the input parameters for the simulation haven't been established yet. This fact causes poor reliability during energy simulation, as the values of the two standards are different from each other. Therefore, the aim of the study is to set domestic standard parameter for BIM-based energy performance evaluation, focusing on possession area per person of occupants at government office in Korea. We found that the difference among the result values occurred approximately 3% in the energy simulation. As a result of the analysis, possession area per person of occupants in Government office is $31.87m^2$. Other input parameters may be set based on this. This will increase the reliability of energy simulation through a domestic standard parameter.

데이터 분할 평가 진화알고리즘을 이용한 효율적인 퍼지 분류규칙의 생성 (Generation of Efficient Fuzzy Classification Rules Using Evolutionary Algorithm with Data Partition Evaluation)

  • 류정우;김성은;김명원
    • 한국지능시스템학회논문지
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    • 제18권1호
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    • pp.32-40
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    • 2008
  • 데이터 속성 값이 연속적이고 애매할 때 퍼지 규칙으로 분류규칙을 표현하는 것은 매우 유용하면서도 효과적이다. 그러나 효과적인 퍼지 분류규칙을 생성하기 위한 소속함수를 결정하기는 어렵다. 본 논문에서는 진화알고리즘을 이용하여 효과적인 퍼지 분류규칙을 자동으로 생성하는 방법을 제안한다. 제안한 방법은 지도 군집화로 클래스 분포에 따라 초기 소속함수를 생성하고, 정확하고 간결한 규칙을 생성할 수 있도록 초기 소속함수를 진화시키는 방법이다. 또한 진화알고리즘의 시간에 대한 효율성을 높이기 위한 방법으로 데이터 분할 평가 진화 방법을 제안한다. 데이터 분할 평가 진화 방법은 전체 학습 데이터를 여러 개의 부분 학습 데이터들로 나누고 개체는 전체 학습 데이터 대신 부분 학습 데이터를 임의로 선택하여 평가하는 방법이다. UCI 벤치마크 데이터로 기존 방법과 비교 실험을 통해 평균적으로 제안한 방법이 효과적임을 보였다. 또한 KDD'99 Cup의 침입탐지 데이터에서 KDD'99 Cup 우승자에 비해 1.54% 향상된 인식률과 20.8% 절감된 탐지비용을 보였고 데이터 분할 평가 진화 방법으로 개체평가 시간을 약 70% 감소시켰다.

교통정책변화에 따른 교통투자평가방법 개선에 관한 제언 (A Proposal for the Evaluation Method Improvement of Transport Investment with the Transportation Policy Change)

  • 방연근;김현웅
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2000년도 춘계학술대회 논문집
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    • pp.43-50
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    • 2000
  • This paper shows the recent changes of national transportation policies in some developed countries and argues that the evaluation method of the effect of transportation investment on national economy should be improved to reveal real impact of the investment. The evaluation method should develope effective performance indicators of the goals set in national transportation policy. To estimate correctly the magnitude of transportation services in national economy, the evaluation method also provides a way to measure in-house transportation services and to overcome the limits of marginal effect equal equation.

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AHP를 이용한 국방연구개발사업 메타평가 지표개발 (A Study on the Development of Meta Evaluation Indicators based on AHP Technique for Defense R&D Programs)

  • 김순영
    • 지식경영연구
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    • 제10권2호
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    • pp.65-84
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    • 2009
  • The purpose of this study is to develop Meta Evaluation Indicators for Defense R&D Programs in Korea. At first, the four components of this meta evaluation model were designed, which are evaluation context, evaluation input, evaluation process and evaluation outcome. And fifty two indicators for this meta evaluation were developed by experts who performed evaluations for Defense R&D Programs. The reliability of components and items was verified by Cronbach's ${\alpha}$ coefficient. It was over 0.6 in all areas. The validity of components and items was verified by Factor Analysis. Analytic Hierarchy Process method was used in assigning the evaluation weight. The survey of twenty two evaluators participated in Defense R&D Programs showed that the Consistency Ratio was under 0.1 in evaluation components and items. In this study, an objective and reasonable set of Defense R&D Meta Evaluation Indicators was developed to increase the responsibility of Defense R&D Programs and improve the quality of evaluation results.

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선박자동조타를 위한 RCGA기반 T-S 퍼지 PID 제어 (T-S fuzzy PID control based on RCGAs for the automatic steering system of a ship)

  • 이유수;황순규;안종갑
    • 수산해양기술연구
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    • 제59권1호
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    • pp.44-54
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    • 2023
  • In this study, the second-order Nomoto's nonlinear expansion model was implemented as a Tagaki-Sugeno fuzzy model based on the heading angular velocity to design the automatic steering system of a ship considering nonlinear elements. A Tagaki-Sugeno fuzzy PID controller was designed using the applied fuzzy membership functions from the Tagaki-Sugeno fuzzy model. The linear models and fuzzy membership functions of each operating point of a given nonlinear expansion model were simultaneously tuned using a genetic algorithm. It was confirmed that the implemented Tagaki-Sugeno fuzzy model could accurately describe the given nonlinear expansion model through the Zig-Zag experiment. The optimal parameters of the sub-PID controller for each operating point of the Tagaki-Sugeno fuzzy model were searched using a genetic algorithm. The evaluation function for searching the optimal parameters considered the route extension due to course deviation and the resistance component of the ship by steering. By adding a penalty function to the evaluation function, the performance of the automatic steering system of the ship could be evaluated to track the set course without overshooting when changing the course. It was confirmed that the sub-PID controller for each operating point followed the set course to minimize the evaluation function without overshoot when changing the course. The outputs of the tuned sub-PID controllers were combined in a weighted average method using the membership functions of the Tagaki-Sugeno fuzzy model. The proposed Tagaki-Sugeno fuzzy PID controller was applied to the second-order Nomoto's nonlinear expansion model. As a result of examining the transient response characteristics for the set course change, it was confirmed that the set course tracking was satisfactorily performed.

모의실험을 통한 표본 강의평가제의 실현 가능성 탐구 (The Practicability of the Sample Course Evaluation System through Simulation)

  • 김용태;김성윤;이상준
    • 한국콘텐츠학회논문지
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    • 제18권2호
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    • pp.468-475
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    • 2018
  • 현재 국내 대학들이 강의평가의 저조한 참여율을 보완하기 위해 부가한 강제성은 학생들의 불성실한 응답을 야기하여 평가결과의 타당성을 크게 저해하는 요인으로 지적되고 있다. 본 연구는 전수조사로 진행되는 강의평가제의 문제점을 지적하고 표본 강의평가제를 그 대안으로 제시하면서 표본평균을 이용해 모평균을 추론하는 것이 통계적으로 의미 있다는 것을 모의실험을 통해 확인하고자 한다. 이를 위해 2016년 2학기 S 대학에서 개설된 강좌의 소형, 중형, 대형, 사이버 강좌를 모집단으로 가정하였고, 각 강좌의 강의평가 평균점수를 모평균으로 가정하였다. 그리고 표본수의 결정을 위하여 직전년도 동일 교과목에 대한 평균과 표준편차를 사용하였고, 신뢰수준은 95%, 오차한계는 ${\pm}0.25$로 하였다. 데이터 분석도구인 R을 이용한 모의실험 시행결과 소형, 중형, 대형, 사이버 강좌 모두 모평균을 포함하는 신뢰수준이 95% 이상 근사하는 것으로 나타나 대표성 있는 표본 강의평가제의 실현 가능성을 확인하였다.

QSPR Study of the Absorption Maxima of Azobenzene Dyes

  • Xu, Jie;Wang, Lei;Liu, Li;Bai, Zikui;Wang, Luoxin
    • Bulletin of the Korean Chemical Society
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    • 제32권11호
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    • pp.3865-3872
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    • 2011
  • A quantitative structure-property relationship (QSPR) study was performed for the prediction of the absorption maxima of azobenzene dyes. The entire set of 191 azobenzenes was divided into a training set of 150 azobenzenes and a test set of 41 azobenzenes according to Kennard and Stones algorithm. A seven-descriptor model, with squared correlation coefficient ($R^2$) of 0.8755 and standard error of estimation (s) of 14.476, was developed by applying stepwise multiple linear regression (MLR) analysis on the training set. The reliability of the proposed model was further illustrated using various evaluation techniques: leave-many-out crossvalidation procedure, randomization tests, and validation through the test set.

치매 간호 표준 개발 (Development of Dementia Care Standards)

  • 하주영
    • 대한간호학회지
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    • 제40권5호
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    • pp.631-641
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    • 2010
  • Purpose: This study was done to develop standards for dementia care as a baseline for professional nurses to provide a framework for dementia care evaluation Methods: The dementia care standards were developed through a literature review and focus group discussions. According to the Delphi method, the data analysis was conducted using the Content Validity Index (CVI). Results: The final set of 18 standards on dementia care was developed through one round of CVI. The standards included four structural standards: 'Organization of nursing system', 'Operating system', 'Management of human resources', 'Management of material resources', 13 procedural standards: 'Advanced assessment', 'Nursing diagnosis', 'Nursing plam', 'Advanced nursing implementation', 'Evaluation', 'Education', 'Research', 'Consultation', 'Counseling and cooperation', 'Development of specialty', 'Utilizing resources', 'Nursing quality assurance', 'Ethics', and one standard concerning outcome ('Evaluation of nursing tasks in care of patients with dementia'). The final set of 55 criteria on care of patients with dementia was confirmed through two rounds of CVI. The final 171 indicators were confirmed through four rounds of CVI. Conclusion: These dementia care standards provides a framework that allows registered nurses to clarify their roles and tasks in the care of patients with dementia and provides evaluation criteria.

오픈소스 소프트웨어의 품질 수준 평가 방법 (Quality Evaluation Method of Open Source Software)

  • 박주병;양해술
    • 한국산학기술학회논문지
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    • 제13권5호
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    • pp.2353-2359
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    • 2012
  • 현재 오픈소스 소프트웨어 사용은 날로 증가하고 있는 추세이다. 그러나 오픈소스 소프트웨어 품질에 관한 문제는 그 중요성이 충분히 고려되지 못하고 있는 현실이다. 오픈소스 소프트웨어 품질문제 현황과 지속적인 사용 증가에 대해 전망을 고려할 때 오픈소스 소프트웨어의 품질평가 기술에 대한 개발이 절실히 요구되고 있으나 지금까지의 품질평가 기술 및 국내외 소프트웨어 품질인증 기관의 품질평가 제도는 상용 소프트웨어 제품에 국한되어 있는 것이 현실이다. 따라서 본 논문에서는 오픈소스 소프트웨어를 정량적으로 평가 할 수 있는 평가항목을 구성하였고, 조사된 관련 자료의 통계적인 집계를 통해 평가기준을 확립하였다. 이 평가기준을 통해 오픈소스 소프트웨어를 평가하였다.