• Journal of the Korean Dietetic Association
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• v.15 no.4
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• pp.364-382
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• 2009

The purposes of this study were to develop the standard indicators to evaluate the food and nutrition systems in hospitals and to test the validity of those items scientifically. The results were as follows: First, the conceptual validity was examined with recognition degrees of importance from the hospital nutrition department managers. All of the hospital nutrition department's operation evaluation standards and the indicators' conceptual validity tested were in the range of 3.71~4.93 out of 5.0, and the mean score was 4.36. Therefore, the conceptual validity was verified. Second, to verify the factor validity of the items of the standards and indicators for the hospital nutrition department's operation evaluation, the standards and indicators were analyzed as key-factors. Key-factor analysis after vertical rotation showed that four factors appeared and were composed of (a) facilities management, (b) sanitation management, (c) operation & foodservice management, and (d) nutrition management. Third, the reliability of the standards and indicators for the hospital nutrition department's operation evaluation was analyzed and resulted in a score of 0.98, which showed good internal consistency. Fourth, the discriminative power of each item of the standards for the hospital nutrition department's operation evaluation was tested by checking the differences between groups with first quartile and forth quartile of total evaluation scores. The indicators having low distinction power were modified into obligatory items or eliminated for better differentiation.

• Journal of Korean Society of Water and Wastewater
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• v.34 no.6
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• pp.495-502
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• 2020

The 37 indicators for performance evaluation of public sewage management agencies are divided into four major categories (agency manpower management ability, wastewater treatment plant operation and management, sludge and water reuse, service quality) in the first stage, and the necessity and score acquisition for the detailed indicators by each major category in the second stages. Priority was investigated through the Analytic Hierarchy Process (AHP) analysis technique for ease and relevance of company efforts. Also, based on the results of this analysis, integrated type weighting and relative importance were analyzed. As a result of the analysis, the weight and relative importance of the first stage classification were in the order of wastewater treatment plant operation and maintenance, operation agency manpower management ability, sludge and water reuse, and service quality. As a result of analyzing the weights and priorities of the detailed performance indicators in the second stage, it was found that operator's career years, the percentage of certification holding rate in operators, compliance with the effluent water quality standards, training times for operators, and efforts to manage hazardous chemicals were important. Some of the indicators of operation agency performance evaluation may include indicators in which the performance of the company's efforts is underestimated or overestimated. In order to improve this, it is necessary to give weights in consideration of the necessity of the indicator, the relevance of the company's efforts, and the ease of obtaining scores.

• Journal of Engineering Education Research
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• v.26 no.6
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• pp.62-70
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• 2023

The purpose of this study is to derive implications for improving related policies and evaluation criteria in the future by analyzing trends of evaluation criteria for industry-university cooperation in Korea. For this purpose, five surveys on industry-university cooperation by government departments, major general university evaluations, and evaluation indicators of specialized industry-university evaluations by the Ministry of Education were analyzed. As a result, most of the evaluation criteria for domestic industry-university cooperation have been composed of quantitative indicators and have a limited character as quantitative performance management for government projects. Although the Ministry of Education's evaluation criteria for industry-university cooperation projects has gradually changed to a segmented index considering universities, industries, and regions, it needs to be supplemented for sustainability of industry-university cooperation. In order to promote sustainable industry-university cooperation in the future, it was suggested that first, it is necessary to supplementation of qualitative Indicators considering each university's characteristics, second, the composition of indicators related to reflect on demand in the process of the cooperation, and third, to build a virtuous cycle system for future operation of evaluation criteria.

• International Journal of Quality Innovation
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• v.9 no.2
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• pp.99-117
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• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.985-994
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• 2022

This study diagnoses the maturity level of local government's spatial information policy in the face of the digital transformation period. To this end, by using the stratification (AHP) analysis technique, for the spatial information expert group, the importance evaluation is performed along with the selection of measurement indicators of the level of spatial informatization. First, the current status and indicators in terms of spatial information policies of local governments are studied through theoretical considerations. In addition, by examining previous studies, differentiation from this study is presented. In this study, 3 indicators and 18 detailed items of spatial informatization level evaluation indicators could be selected. As a result of the evaluation, the overall importance ranking for the measurement index was 0.125 (12.5%) for the establishment and utilizations of GIS Systems provided by local governments, 0.109 (10.9%) for the quality management of basic spatial information, 0.107 (10.7%) for the establishment and utilization of its own spatial information. 0.073 (7.3%) for the collaboration and sharing within the institution, 0.071 (7.1%) for the operation of education and support system on spatial information, 0.065 (6.5%) for the securing a dedicated organization and professional human resources, and interest at the institutional level were derived in the order of 0.053 (5.3%). The results of this study are expected to be usefully utilized as basic data to evaluate the level of spatial information policies promoted by local governments. In addition, if the local government's spatial information policy is pursued centering on the major indicators derived from the study, it is expected that efficient policy operation will be possible.

• Journal of Nutrition and Health
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• v.33 no.5
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• pp.548-555
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• 2000

The purpose of this study were to : a) establish quality managements standards and performance indicators in order to define the concept of the hospital food and nutrition services, b) develop a self evaluation tool for quality management applicable to dietetic department's CQI program on the basis of the estabilished quality management standers, c) investigate the factual quality of hospital food and nutrition services throught the result of the application study of the quality management tool and the perceived quality by the patients servery, and d) verify the validity of the quality management tool through analysing the correlation between the factual quality and the preceived quality. The quality management standards were classifie dinto 3 parts, 'Nutrition Care', 'Foodservice Operation', and 'Management Function'. There consisted of 72 quality management standards and 293 performance indicators. The developed quality evaluation tool using 5-Likert scale was performance at 45 general hospitals over 400 beds in Seoul and Kyungki-do. Also, 1,573 patients in 42 hospitals were participated in the patient survey. The result of quality evaluation tool application study showed that 17 standards were relatively high(more than 4.5) and 22 relatively low(less than 4.0) in score. The categorical mean scores of $\ulcorner$Nutrition Care$\lrcorner$, $\ulcorner$Foodservice Operation$\lrcorner$and $\ulcorner$Management Function$\lrcorner$ were respectively 60.7, 162.8, and 73.5 Each mean score was conversed to 81.0, 83.5, and 81.7 on the basis of 100 point scale, but the range of score was very wide between hospitals. The Cronbach's $\alpha$ was more than 0.6 in 59 quality management standards, this result verified reliability of the quality management tool was proved. The factual quality showed positive correlation with the perceived quality. Therefore, this result verified the criterion validity of the quality management tool.

• Journal of Nutrition and Health
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• v.48 no.6
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• pp.542-557
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• 2015

Purpose: The aim of this study is to develop an evaluation tool for operation of food safety and nutrition education projects for middle class elderly using the concept of the balanced score card. Methods: After the draft of the evaluation tool for the elderly training projects was completed, it was revised into the questionnaire and the validity of the indicators was tested by the Delphi group. The validity of the indicators was rated using a 5-point scale. The Delphi group consisted of 26 experts in the education sector, 16 government officials, and 24 professionals of the related area in communities. The first round test was conducted from July 9 to July 17, 2012, and 45 persons responded. The second round test was conducted from July 18 to July 25 and 32 persons responded. Results: The indicators, which were answered by more than 75 percent of the experts as 'agree' (4 points), 'strongly agree' (5 point) were included as the final indicators for the evaluation tool: 28 items out of 36 in outcome perspectives, 9 items out of 12 in process perspectives, and 17 out of 20 items in structure perspectives. The score was allocated as 50 points for outcome indicators, 20 points for process indicators, and 30 points for structure indicators. Conclusion: Completion of the evaluation tool is a prerequisite to determine whether the program is effectively implemented. The monitoring tool developed in the study could be applied for identification of the most optimal delivery path for the food safety and nutrition education program, for the spread of the food safety and nutrition education program for middle class elderly.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.157-166
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• 2021

Forecasting dam inflow based on high reliability is required for efficient dam operation. In this study, deep learning technique, which is one of the data-driven methods and has been used in many fields of research, was manipulated to predict the dam inflow. The Long Short-Term Memory deep learning with Sequence-to-Sequence model (LSTM-s2s), which provides high performance in predicting time-series data, was applied for forecasting inflow of Soyang River dam. Various statistical metrics or evaluation indicators, including correlation coefficient (CC), Nash-Sutcliffe efficiency coefficient (NSE), percent bias (PBIAS), and error in peak value (PE), were used to evaluate the predictive performance of the model. The result of this study presented that the LSTM-s2s model showed high accuracy in the prediction of dam inflow and also provided good performance for runoff event based runoff prediction. It was found that the deep learning based approach could be used for efficient dam operation for water resource management during wet and dry seasons.

• Korean Medical Education Review
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• v.22 no.3
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• pp.173-188
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• 2020

Medical humanities education (MHE) is as essential as basic medical sciences and clinical medicine education. Despite the importance of MHE, MHE curriculum development (CD) has proven to be challenging. This critical review examines the MHE CD at one medical school. The critical review methodology was developed based on Kern's six step CD model to systematically examine the CD of "Doctoring and Medical Humanities (DMH)" at the Yonsei University College of Medicine. Five review questions were developed related to (1) necessity, (2) direction and purpose, (3) design, (4) operation, and (5) evaluation of CD based on Kern's model. The review showed that the process of DMH CD mapped to components of Kern's model. The DMH curriculum content selected was closely related to medical practice and aimed to combine the acquisition of understanding and skills by designing a student-participatory curriculum based on clinical cases. Assessment methods that emphasized students' reflections were actively introduced in the evaluation section. Since the regular committee for DMH continued the work of the special ad hoc committees for DMH CD, the CD was effectively completed. However, the planning and evaluation functions and responsibilities of the DMH committee need to be strengthened. Despite the apparent limitations, the fact that students showed a high satisfaction rate and preferred small group discussions based on clinical cases has significant implications in the instructional design of MHE, where changes in self-awareness and attitude are more important than the acquisition of information. It is necessary to systematically review and study students' reflection results produced by the changed assessment methods and to develop assessment indicators for MHE that reflect the achievements of the MHE competencies of students.

• Journal of Korea Water Resources Association
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• v.51 no.spc
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• pp.1135-1148
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• 2018

Previous studies on reservoir operation have been assumed that the climate in the future would be similar to that in the past. However, in the presence of climate non-stationarity, Robust Optimization (RO) which finds the feasible solutions under broader uncertainty is necessary. RO improves the existing optimization method by adding a robust term to the objective function that controls the uncertainty inherent due to input data instability. This study proposed Robust-SDP that combines Stochastic Dynamic Programming (SDP) and RO to estimate dam operation rules while coping with climate non-stationarity. The future inflow series that reflect climate non-stationarity were synthetically generated. We then evaluated the capacity of the dam operation rules obtained from the past inflow series based on six evaluation indicators and two decision support schemes. Although Robust-SDP was successful in reducing the incidence of extreme water scarcity events under climate non-stationarity, there was a trade-off between the number of extreme water scarcity events and the water scarcity ratio. Thus, it is proposed that decision-makers choose their optimal rules in reference to the evaluation results and decision support illustrations.