• 제목/요약/키워드: Reliability Indicators

검색결과 247건 처리시간 0.026초

Visibility of Electric Distribution Utility Performance to Manage Loss and Reliability Indices

  • Honarmand, Mohammad-Esmaeil;Ghazizadeh, Mohammad-Sadegh;Kermanshah, Ali;Haghifam, Mahmoud-Reza
    • Journal of Electrical Engineering and Technology
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    • 제12권5호
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    • pp.1764-1776
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    • 2017
  • To achieve economic stability, distribution Company as an economic institution should be managed by various processes. In this way, knowledge of different processes is the first step. Furthermore, expectations, outputs, requirement data, and sub-processes should be extracted and determined. Accordingly, to assign the performance responsibility of each process, the decision-making points must be introduced and, the deviation or change in set-points should be investigated into processes. Also, the performance of processes could be monitored by introducing of the sub-indictors. In this study, a practical method is presented for monitoring of reliability and power loss indices from viewpoint components' supply chain into the distribution network. At first, the visibility model of the supply chain is illustrated by focus group and the sub-indicators are extracted for each process of this chain. Then, validation and verification of the sub-indicators are accomplished by the Delphi method and, an information dashboard is presented by confirmed the sub-indicators and statistics methods. Finally, the proposed method is investigated by real data in a typical network and the results are analyzed.

국방핵심기술 연구개발의 제안서 평가를 위한 평가지표 개발에 관한 연구 (A Study on the Development of Evaluation Indicators for the Proposals of National Defense Core-Technology R&D Projects)

  • 김찬수;조규갑
    • 산업공학
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    • 제21권1호
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    • pp.96-108
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    • 2008
  • This paper proposes the systematic design approach for developing the evaluation indicators that evaluate the candidate proposals in the national defense core-technology R&D projects. To improve the validity and fairness of the evaluation indicators, the existing evaluation process in a military and a public sector are surveyed and also the existing evaluation system of the core-technology R&D programs for the national defense is analysed and discussed. A new system for the evaluation indicators is designed by using the axiomatic design, factor analysis and the analytic hierarchy process. It is expected that the proposed evaluation indicators contribute to enhance the fairness and the reliability of the evaluation process for the proposal of the national defense core-technology R&D projects.

The DEVELOPMENT OF WORK PERFORMANCE ANALYSIS SYSTEM

  • Lim, Chul-Woo;Yu, Jung-Ho;Kim, Chang-Duk
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.738-746
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    • 2009
  • The purpose of this study is to develop the web-based system for work performance analysis(WPAS). The need of work performance analysis system has already been suggested in many previous researches on the computerization of the performance measurement in the construction site by using the indicators such as time, cost and quality. However, they had focused on measuring or analyzing the result when the project would be over. The WPAS suggests three indicators - work reliability, work effectiveness and work efficiency - to manage the performance of the construction site. It can help the manager more easily recognize the status of on-going work in the construction site by measuring and analyzing the work reliability rate, the work effectiveness and work efficiency every day. This research includes the procedures for WPAS measurement process, database structure of WPAS which was analyzed by the IDEF0 and the data flow diagram. Finally, this research introduces the result of WAPS's case studies and validation in the Korean construction site.

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DATA MINING-BASED MULTIDIMENSIONAL EXTRACTION METHOD FOR INDICATORS OF SOCIAL SECURITY SYSTEM FOR PEOPLE WITH DISABILITIES

  • BATYHA, RADWAN M.
    • Journal of applied mathematics & informatics
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    • 제40권1_2호
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    • pp.289-303
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    • 2022
  • This article examines the multidimensional index extraction method of the disability social security system based on data mining. While creating the data warehouse of the social security system for the disabled, we need to know the elements of the social security indicators for the disabled. In this context, a clustering algorithm was used to extract the indicators of the social security system for the disabled by investigating the historical dimension of social security for the disabled. The simulation results show that the index extraction method has high coverage, sensitivity and reliability. In this paper, a multidimensional extraction method is introduced to extract the indicators of the social security system for the disabled based on data mining. The simulation experiments show that the method presented in this paper is more reliable, and the indicators of social security system for the disabled extracted are more effective in practical application.

교합점 기록재와 교합점 표식의 신뢰도에 관한 고려사항 (Considerations in the reliability of occlusal indicators and occlusal contact marks)

  • 김창환;김대곤;고경호;허윤혁;조리라;박찬진
    • 구강회복응용과학지
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    • 제34권3호
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    • pp.147-156
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    • 2018
  • 교합점 기록재를 통해 교합점을 분석하는 방법이 신뢰할 만한가에 대해서는 사용하는 방법이 결과에 미칠 수 있는 영향을 고려해야 한다. 교합점 기록은 교합점 기록재료와 두께, 교합력, 사용 횟수, 재료의 물리적 특성, 매개 물질 등 많은 변수에 의해서 정확도, 신뢰도에 영향을 받을 수 있다. 그럼에도 불구하고 교합점 기록재에 대한 연구는 환자의 교합력과 기록재의 두께 등 일부 요소에 대한 평가가 주를 이루어 다양성이 부족하다. 변수를 통제하기 위해 교합지는 가능하면 매 회 새것을 사용하고 구강 내 건조상태를 확보하며 가급적 얇은 교합지를 사용하여야 한다. 또한, 한가지 방법만으로 분석하는 것은 지양하여야 하며, 보조 수단을 함께 활용할 것이 추천된다.

대학병원 간호조직 균형 성과지표의 적합성 검증 (Balanced Scorecard for Performance Measurement of a Nursing Organization in a Korean Hospital)

  • 홍윤미;황경자;김미자;박창기
    • 대한간호학회지
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    • 제38권1호
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    • pp.45-54
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    • 2008
  • Purpose: The purpose of this study was to develop a balanced scorecard (BSC) for performance measurement of a Korean hospital nursing organization and to evaluate the validity and reliability of performance measurement indicators. Method: Two hundred fifty-nine nurses in a Korean hospital participated in a survey questionnaire that included 29-item performance evaluation indicators developed by investigators of this study based on the Kaplan and Norton's BSC (1992). Cronbach's alpha was used to test the reliability of the BSC. Exploratory and confirmatory factor analysis with a structure equation model (SEM) was applied to assess the construct validity of the BSC. Result: Cronbach's alpha of 29 items was .948. Factor analysis of the BSC showed 5 principal components (eigen value>1.0) which explained 62.7% of the total variance, and it included a new one, community service. The SEM analysis results showed that 5 components were significant for the hospital BSC tool. Conclusion: High degree of reliability and validity of this BSC suggests that it may be used for performance measurements of a Korean hospital nursing organization. Future studies may consider including a balanced number of nurse managers and staff nurses in the study. Further data analysis on the relationships among factors is recommended.

신경외과 중환자 간호의 질평가 도구개발 (Development of an evaluation tool for the quality of nursing care in neurosurgical intensive care unit patients)

  • 김남영;장금성
    • 간호행정학회지
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    • 제7권2호
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    • pp.285-300
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    • 2001
  • To meet standards for high quality of care and satisfied customers, an evaluation tool about nursing care is necessary. And, We need to evaluate our practice continuously for the improvement in quality and outcomes. This study was intended to develop an evaluation tool about nursing care in NSICU, and was progressed of 3 steps; development, content validity verification and reliability verification. Data were obtained and analysed from Feb. To April, 2000. Development process of the study was as follows A preliminary list was made item by item on the basis of clinical Experience, literature review and patients' record review. Then the standards, criteria and indicators of preliminary evaluation tool were set by 5 clinical nursing panel, and their content validity was reviewed by 27 ICU nurses. Finally, an evaluation tool was developed and verified the reliability at c-university hospital located in Kwang-Ju. The results of this was as follows 1) The evaluation tool of this study developed 8 standards, 39 criterias and 106 indicators. The standards were divided into two dimensions. One was process dimension which contained 4 standards(26 criteria), The other was outcome dimension which contained 4 standards(13 criteria). 2) the Average content validity of the tool was 3.39 at standards, 3.55 at criteria and 3.51 at indicators. 3) Interrater reliability of the tool is r=.7993(p<.001) & internal consistency reliability ${\alpha}$ is .6031 4) Scores of NSICU Patients who participated in this study were 57 at total mean score, 58 at process mean score and 56 at outcome mean score The evaluation tool developed in this study seems to be useful in evaluation nursing practice appropriately for the improvement of nursing care in NSICU. I hope that this evaluation tool can be used effectively in NSICU as an intervention for the improvement of quality control.

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A LightGBM and XGBoost Learning Method for Postoperative Critical Illness Key Indicators Analysis

  • Lei Han;Yiziting Zhu;Yuwen Chen;Guoqiong Huang;Bin Yi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권8호
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    • pp.2016-2029
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    • 2023
  • Accurate prediction of critical illness is significant for ensuring the lives and health of patients. The selection of indicators affects the real-time capability and accuracy of the prediction for critical illness. However, the diversity and complexity of these indicators make it difficult to find potential connections between them and critical illnesses. For the first time, this study proposes an indicator analysis model to extract key indicators from the preoperative and intraoperative clinical indicators and laboratory results of critical illnesses. In this study, preoperative and intraoperative data of heart failure and respiratory failure are used to verify the model. The proposed model processes the datum and extracts key indicators through four parts. To test the effectiveness of the proposed model, the key indicators are used to predict the two critical illnesses. The classifiers used in the prediction are light gradient boosting machine (LightGBM) and eXtreme Gradient Boosting (XGBoost). The predictive performance using key indicators is better than that using all indicators. In the prediction of heart failure, LightGBM and XGBoost have sensitivities of 0.889 and 0.892, and specificities of 0.939 and 0.937, respectively. For respiratory failure, LightGBM and XGBoost have sensitivities of 0.709 and 0.689, and specificity of 0.936 and 0.940, respectively. The proposed model can effectively analyze the correlation between indicators and postoperative critical illness. The analytical results make it possible to find the key indicators for postoperative critical illnesses. This model is meaningful to assist doctors in extracting key indicators in time and improving the reliability and efficiency of prediction.

Derivation of Indicators for Value Assessment of School Gardens

  • Hong, In-Kyoung;Yun, Hyung-Kwon;Jung, Young-Bin;Lee, Sang-Mi
    • 인간식물환경학회지
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    • 제23권4호
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    • pp.433-443
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    • 2020
  • Background and objective: The boom in urban agriculture has also resulted in the creation of many school gardens. With the increase in various hands-on education programs, people are interested in assessing the value of school gardens. This study was conducted to derive indicators for service value assessement of educational farming experience using school gardens. Methods: Through literature review, we selected assessment items and sub-factors. The indicators for evaluating the effectiveness of school gardens are classified using the Delphi method that involve a focus group experts. In order to increase the reliability and validity of the selected and classified items, an exploratory factor analysis was conducted. In addition, the relative importance and priority of each factor in each field were assessed using the analytic hierarchy process (AHP). Results: We classified the indicators into 4 criteria and come up with 13 items and 33 sub-factors in educational value, health value, economic value, and ecological and environmental value. Most of the items for the 4 value criteria derived were significant for assessing the value of agricultural experience services with content validity ratio (CVR) higher than 0.59 and reliability higher than .6 . In the value criteria, the experts rated educational value as the most important, followed by health value, ecological and environmental value, and economic value. In the assessment items, the most important was improvement of social functions. In the sub-factors, the most important was strengthening of ties (friendly interactions). Conclusion: Among the derived indicators assessing the value of school gardens, 4 criteria, 12 evaluation items and 29 sub-factors showed significance. The schematic index would be useful for the assessment.

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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