• Title/Summary/Keyword: 중요도 가중치

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The Advanced Power System Security Index Considering weighting factors (가중치를 고려한 전력시스템의 안전도 지수에 관한 연구)

  • Song Sung Hwan;Jung Seung Wan;Moon Seung Il;Yoon Yong Tae
    • Proceedings of the KIEE Conference
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    • summer
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    • pp.79-81
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    • 2004
  • 본 논문에서는 전력시스템의 정적 안전도수준(Steady-state Security Level)을 평가할 수 있는 안전도 지수를 전력시스템의 영향을 반영하는 가중치를 고려하여 보다 개선된 안전도 지수를 제안한다. 먼저, N-1선로사고를 가정하여 각 선로가 계통에 미치는 영향과 각 선로의 사고로 인해 모선 전압의 변동량을 분석하여 각각 안전도 지수들의 가중치를 산정한다. 이때, 가중치의 표준화를 위해 분포도(Distribution Chart)를 활용한다. 가중치가 적용된 안전도 지수는 이를 고려하지 않은 안전도 지수보다 더욱 계통상황을 잘 반영할 것이며, 전력계통 운영 상태를 나타내는 중요한 지표로서 활용될 수 있을 것이다.

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Accuracy Evaluation of Weighted Recruiting Information Search Result (가중치를 이용한 채용 정보 검색의 정확성 평가)

  • Kim, Hyoung-Rae;Jeong, Kyoung-Hee;Jeon, Do-Hong
    • Annual Conference of KIPS
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    • 2008.05a
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    • pp.463-466
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    • 2008
  • 취업 정보 시스템에서의 인재정보 및 채용정보의 검색결과에서 원하는 일자리와 인재를 빠른 시간내에 검색하는 문제는 사용자 만족도에 밀접한 영향을 미치는 중요한 요소 중의 하나라고 할 것이다. 본 연구에서는 키워드를 이용하여 채용정보를 검색할 경우 채용정보 항목에 가중치 값을 적용했을 때의 정확도를 판단하기 위한 정량적 평가의 효과성을 검토한다. 채용정보 항목에 가중치 값을 적용했을 경우와 적용하지 않았을 경우의 채용검색 결과를 취업정보 시스템 관련 담당자를 대상으로 관련성 점수를 5점 척도로 평가한다. 실험결과, 채용정보 항목에 가중치를 적용하였을 때 관련 정확도 평가값이 더 높았으며, 상위 20개의 검색결과 평가값을 순위에 따라 정확성 추이를 살펴본 결과 순위가 높을수록 더 높은 정확성을 보였다.

Application of Multi-criteria Decision Making Techniques for Water Resources Planning: 2. Sensitivity Analysis of Weighting and Performance Values (수자원 계획수립을 위한 다기준의사결정기법의 적용: 2. 가중치와 평가치에 대한 민감도 분석)

  • Chung, Eun-Sung
    • Journal of Korea Water Resources Association
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    • v.45 no.4
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    • pp.383-391
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    • 2012
  • This study aims to present the sensitivity analysis approach for multi-criteria decision making (MCDM) method to reduce the uncertainty of weighting and performance values. This study focuses on two major problems of the uncertainty for MCDM method. The first major problem is how to determine the most critical criterion and the second is how to determine the most critical measure of performance. This study used the application of weighted sum method for water resources planning. The criticality degrees and the sensitivity coefficients of criterion and alternative are used. This results of sensitivity analysis can be applied to the general water resources planning in real.

Value Weighted Regularized Logistic Regression Model (속성값 기반의 정규화된 로지스틱 회귀분석 모델)

  • Lee, Chang-Hwan;Jung, Mina
    • Journal of KIISE
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    • v.43 no.11
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    • pp.1270-1274
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    • 2016
  • Logistic regression is widely used for predicting and estimating the relationship among variables. We propose a new logistic regression model, the value weighted logistic regression, which comprises of a fine-grained weighting method, and assigns adapted weights to each feature value. This gradient approach obtains the optimal weights of feature values. Experiments were conducted on several data sets from the UCI machine learning repository, and the results revealed that the proposed method achieves meaningful improvement in the prediction accuracy.

방산업체 보안등급 평가요소 가중치 산출에 관한 연구

  • GO, Hee-Jae
    • Review of KIISC
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    • v.28 no.6
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    • pp.39-44
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    • 2018
  • 우리나라 방위산업은 고등훈련기, 잠수함 등을 수출할 정도로 발전했으며, 방산 기술력은 선진국 대비 80% 수준으로 평가받고 있다. 이렇게 방위산업이 발전함에 따라 국가 안보상 중요한 정보를 유출하려는 시도도 증가하고 있다. 이러한 상황에서 정부는 방산업체에서 보유한 중요 정보를 보호하기 위한 정책들을 시행하고 있으나 방산업체별 다양한 특성을 고려하지 않은 채 획일화된 정책을 추진함으로써 투자 대비 효과성이 떨어지는 것이 현실이다. 따라서, 본 논문에서는 보안에 대한 투자 대비 효과성을 높이기 위해 방산업체 특성을 고려한 차등화 된 보안정책 개발에 활용할 수 있도록 핵심 평가 요소를 도출하고 요소별 가중치를 산출하는데 목적이 있다.

Facial Local Region Based Deep Convolutional Neural Networks for Automated Face Recognition (자동 얼굴인식을 위한 얼굴 지역 영역 기반 다중 심층 합성곱 신경망 시스템)

  • Kim, Kyeong-Tae;Choi, Jae-Young
    • Journal of the Korea Convergence Society
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    • v.9 no.4
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    • pp.47-55
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    • 2018
  • In this paper, we propose a novel face recognition(FR) method that takes advantage of combining weighted deep local features extracted from multiple Deep Convolutional Neural Networks(DCNNs) learned with a set of facial local regions. In the proposed method, the so-called weighed deep local features are generated from multiple DCNNs each trained with a particular face local region and the corresponding weight represents the importance of local region in terms of improving FR performance. Our weighted deep local features are applied to Joint Bayesian metric learning in conjunction with Nearest Neighbor(NN) Classifier for the purpose of FR. Systematic and comparative experiments show that our proposed method is robust to variations in pose, illumination, and expression. Also, experimental results demonstrate that our method is feasible for improving face recognition performance.

A Study on the Relative Weights of the Components of Core Competence Based Learning Outcomes in STEAM (Science, Technology, Engineering Art, Mathematics) (융합인재교육에서 핵심역량 기반 학습성과 구성요소의 상대적 가중치 연구)

  • Park, Ki-Moon
    • 대한공업교육학회지
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    • v.40 no.2
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    • pp.239-258
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    • 2015
  • The purpose of this study is to provide basic data that can be used in a reasonable assessment of the learning outcomes of STEAM. It presented a learning outcome evaluation method, relative weights of key competencies standard that a learner should cultivate. For this study, a pairwise comparison questionnaire about the key competencies was conducted on the STEAM professionals, and AHP was applied to analyze the priority of main factors of key competencies. The results of this study are as follows. First, the importance of capabilities of convergence accomplishment and capabilities of convergent cognition, in the first layer of key competencies, were 39.4% and 36.8%, respectively. In the education evaluation of the STEAM, capabilities of convergence accomplishment and capabilities of convergent cognition showed similar level of importance, and were considered more important factor than capabilities of convergence attitude (23.8%). Second, the relative importance of capabilities of problem solving (20.0%) was highest in the second layer of key competencies, and followed by capabilities of creative thinking (18.3%), responsibility (15.3%), and understanding convergence knowledge (11.0%). Third, it will be a foundation of a competency evaluation, which reasonably evaluates, based on the relative weights, whether to accomplish educational objectives of the STEAM program In addition, this results is expected to become a guide to develop an education program that can improve the teaching and learning process and raise the learning outcome, as well as an education evaluation of the STEAM.

Learning Heuristics for Tactical Path-finding in Computer Games (컴퓨터 게임에서 전술적 경로 찾기를 위한 휴리스틱 학습)

  • Yu, Kyeon-Ah
    • Journal of Korea Multimedia Society
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    • v.12 no.9
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    • pp.1333-1341
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    • 2009
  • Tactical path-finding in computer games is path-finding where a path is selected by considering not only basic elements such as the shortest distance or the minimum time spend but also tactical information of surroundings when deciding character's moving trajectory. One way to include tactical information in path-finding is to represent a heuristic function as a sum of tactical quality multiplied by a weighting factor which is.. determined based on the degree of its importance. The choice of weighting factors for tactics is very important because it controls search performance and the characteristic of paths found. In this paper. we propose a method for improving a heuristic function by adjusting weights based on the difference between paths on examples given by a level designer and paths found during the search process based on the CUITent weighting factors. The proposed method includes the search algorithm modified to detect search errors and learn heuristics and the perceptron-like weight updating formular. Through simulations it is demonstrated how different paths found by tactical path-finding are from those by traditional path-finding. We analyze the factors that affect the performance of learning and show the example applied to the real game environments.

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A Study on the Relative Weights for the Development of University Library Performance Indicator Model (대학도서관 성과지표 모형 개발을 위한 상대적 가중치 연구)

  • Kim, Jeong-Taek;Hahn, Bock-Hee
    • Journal of Korean Library and Information Science Society
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    • v.39 no.4
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    • pp.71-96
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    • 2008
  • Recently, some universities and university libraries have implemented performance management system as a part of managerial innovation, and they have either implemented or are considering implementing BSC. Thus there are needs to develop performance indicator, which is a tool measuring performance of university libraries, based on BSC, and to assess the developed performance indicator's relative weights to analyze which indicators are essential to fulfill and improve the university library's mission. The performance indicators are also affected by the characteristics and perspectives of the people who develop them during the development process. Therefore, it is necessary to analyze the differences among the professional groups in relative weighting of the performance indicator. The purposes of this study are to derive a university library performance indicator model based on BSC, to analyze the importance of each evaluation factor of the derived performance indicator model, and to analyze the differences among the professional groups in relative weighting of the performance indicator model.

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Semantic Indexing Using Concept Space (개념 공간을 이용한 의미 인덱싱)

  • 강보영;김혜정;황선옥;이상조
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04c
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    • pp.380-382
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    • 2003
  • 본 논문은 문서내의 의미적인 관계에 기반하여, 문서의 내용을 보다 잘 추측할 수 있는 의미 인덱스 추출 및 가중치 부여 시스템을 제안하고자 한다. 문서 내의 개념 추출에 있어서는 기존의 어휘 체인(lexical chains)에 관한 연구를 확장하여 적용였다. 또한, 추출된 개념에서 중요 어휘에 가중치를 부여하기 위해서, 개념 벡터 공간을 이용한 정보성(information quantity)과 정보비(information ratio)를 정의하고, 인덱스의 가중치를 측정할 수 있는 정량화 할 수 있는 척도로 제시하였다.

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