• Journal of Engineering Education Research
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• v.8 no.3
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• pp.17-25
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• 2005

Changwon National University has been developing and using a computerized supporting system named SAVIORS for ABEEK(Accreditation Board for Engineering Education of Korea) related tasks since the year of 2001. The main purpose of the development of SAVIORS is to totally computerize all tasks related to ABTEK so that faculty staff may perform their job as readily and efficiently as possible. In this paper, detailed functions and utilization records of the SAVIORS are introduced for sharing the advantages of the system with other institutes.

• Physical Therapy Korea
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• v.25 no.1
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• pp.53-61
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• 2018

Background: The process of language translation, adaptation, and cross-cultural validation of tools for use in multiple countries requires the adoption of well-established, comprehensive, and rigorous methodological approaches. Back translation, which is the most recommended method, permits the detection of errors in the translation and the identification of words or phrases that cannot be accurately or literally translated. Objects: The aim of this study was to verify the content validity of a Korean version of a Balance Evaluation Systems test (BESTest) by using a back-translation method. Methods: This research was conducted in six steps: 1) translation of the BESTest into Korean, 2) evaluation of the translation conformity of Korean-translated BESTest, 3) evaluation of the degree of translation comprehension, 4) back translation of Korean BESTest, 5) evaluation of the technical and conceptual equivalence, and 6) completion of the Korean version of BESTest by the translation verification committee. Results: In this study, Korean version of the BESTest achieved a rating of more than 3 (moderate) for translation comprehension, and technical equivalence and conceptual equivalence of back translation were evaluated as 3 (moderate) or more. Conclusion: The Korean version of the BESTest has proven content validity and is an appropriate tool to measure balance function.

• Journal of East-West Nursing Research
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• v.17 no.2
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• pp.87-95
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• 2011

Purpose: The aim of this study was to share the experience of clinical performance examinations (CPXs) using standardized patients, which was to test comprehensive clinical competence of fourth-year nursing students for four years. Methods: The assessment strategies for CPXs were developed. It included clinical scenarios, the roles of standardized patients, and appraisal criteria in the areas of fundamental and comprehensive nursing care. The CPXs were implemented to about 60-70 fourth-year nursing students of C University in G-city, South Korea, during every second semester from the year of 2006 to 2009. Results: The effects of CPXs were measured by 10 or 25-item rating checklist. Internal reliability of the checklists was distributed from .511 to .956 and interrater agreement between faculties and standardized patients was moderate (r=.250-.949). Students' satisfaction level was 4.27 out of 5 points for four years. Conclusion: The use of CPXs was an innovative educational strategy to evaluate nursing students' comprehensive performance ability including knowledge, skills and attitude. Further studies are needed to evaluate the levels of critical thinking and problem solving skills of clinical nurses who were taken CPXs as well as employers' satisfaction.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.24 no.3
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• pp.55-64
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• 2011

Objectives : This study was performed in order to investigate the effectiveness of electroneuronography as predicting factors for peripheral facial palsy prognosis. Methods : Data were gathered with 32 Bell's palsy patients. The grade of Bell's palsy were measured 2 times; first medical exam and 4 weeks after treatment, with Lucille Daniels's Muscle test. We converted the grade system use on five rating scale. The significance of treatment verified with paired t-test used on first medical exam and 4 weeks after treatment score and predicting factors of electroneuronography verified with simple regression test. Results : The improvement score were statistically significant different before and after treatment(p<.001). Mean axonal loss according to electroneuronography showed a statistically significant correlation in predicting peripheral facial palsy (P<0.01). Conclusion : Axonal loss as determined by electroneuronography has statistical significance as predicting factors for peripheral facial palsy prognosis.

• Tunnel and Underground Space
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• v.15 no.2 s.55
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• pp.129-136
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• 2005

This paper describes the implementation of rock mass rating evaluation based on genetic algorithm(GA) and conditional simulation technique to estimate RMR in the area without sufficient borehole data RMR were estimated by GA and conditional simulation technique with reflecting distribution feature and spatial correlation. And RMR determined by GA were compared with the results from kriging. Through the analysis of the results from 30 simulations, the uncertainty of estimation could be quantified.

• Korean Journal of Childcare and Education
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• v.14 no.6
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• pp.143-170
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• 2018

Objective: The purpose of this study was to develop assessment indicators and to verify the validity and reliability of the developed assessment indicators. Methods: A Delphi survey, focus group interviews, and content verification were conducted in order for experts to develop an evaluation index of the strengths of the day care center. A main survey was conducted on 438 daycare center principals and teachers to test their item quality, validity and reliability. Results: The final assessment indicators consisted of three areas, seven assessment criteria, 19 evaluation factors, 41 assessment items and a five-point rubric rating scale. As for the common strengths indicators, there were three assessment areas, five assessment criteria, 12 assessment elements and 22 assessment items. In regard to the selective strengths indicators, there were 3 assessment areas, 5 assessment criteria, 12 assessment elements and 16 assessment items. Conclusion/Implications: The efforts to confirm the strengths of daycare centers are expected to facilitate the identity building of the daycare center itself and for its organizational members to make a contribution to the qualitative improvement of childcare.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.34 no.1
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• pp.40-50
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• 2023

Objectives: This study examined the validity of the Childhood Autism Rating Scale, Second Edition (CARS-2) compared with the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) in identifying autism spectrum disorder (ASD). Methods: A total of 237 children were tested using both the CARS-2 and ADOS-2. We examined the correlation using Pearson's correlation analysis. In addition, we used a receiver operating characteristic graph to determine the optimal standard version of the CARS-2 (CARS2-ST) cutoff score for ASD diagnosis using the ADOS-2. Results: The concurrent validity of the CARS2-ST was demonstrated by a significant correlation with the ADOS-2 (r=0.864, p<0.001). The optimal CARS2-ST cutoff scores were 30 and 28.5 for identifying autism and autism spectrum, respectively, based on the ADOS-2. Conclusion: We suggest a newly derived CARS2-ST cutoff score of 28.5 for screening ASD and providing early intervention.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.683-684
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• 2015

Project Financing (PF) is the long-term financing of infrastructure and industrial projects based upon the projected cash flows of the project rather than the balance sheets of its sponsors. However, the financial institution, the subject of financing in the case of PF in Korea, the lack of validation system of business, rather than to assess the feasibility of the project, requested a credit reinforcement to the construction company, the fact is Construction Company on loans of the employer is the guarantor or debt argument commitments accordingly. As a result, PF contingent liabilities, which are indirect debt, are triggered in the construction company, not included in the financial statements, along with the disclosure standards established according to 2009 PF contingent liabilities, and major can be a management item. In this study, PF contingent liabilities is of Pearson of the index and the PF debt ratio showing the main financial ratios and risk by classifying the credit rating and contractors Ranking of construction companies in order to analyze the impact on the financial condition of the company was performed correlation analyzes, through the Pearson correlation coefficient analysis indicated quantitative or negative relationship to derive the explicit indication.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.4_1
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• pp.769-780
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• 2024

For an organization to survive and prosper, it is essential to continuously develop innovative products by proactively anticipating consumers' implicit requirements. The Kano model has become more useful since Sireli et al. (2007) and Tontini (2007) introduced a simple equation for determining the importance of characteristics by using the concept of Kano's Potential Customer Satisfaction Coefficient (PCSC). However, although several studies have utilized the PCSC concept to determine the importance of characteristics, it is surprising that the two equations have been accepted without any validation process. This study aims to propose a modified equation using PCSC and to conduct a validity test of the proposed equation, demonstrating its superiority over the previously suggested two equations, The author analysed 26 Kano related articles (27 cases), and the correlation coefficients were compared with those obtained from direct rating importance, which served as a comparative criterion. The results indicate that the proposed equation is valid for assessing characteristic importance and demonstrates significantly higher correlation coefficients with the direct method than those suggested by Tontini (2007) and Siireli et al. (2007). The proposed method offers advantages in terms of accuracy and survey duration over traditional methods that directly ask for relative importance (e.g., AHP by Saaty (1980)). Furthermore, the integration of the Kano model with IPA or QFD could enhance the accuracy and efficiency of research in determining the importance of characteristics.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.67-84
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• 2010

In terms of business, forecasting is a work of what is expected to happen in the future to make managerial decisions and plans. Therefore, the accurate forecasting is very important for major managerial decision making and is the basis for making various strategies of business. But it is very difficult to make an unbiased and consistent estimate because of uncertainty and complexity in the future business environment. That is why we should use scientific forecasting model to support business decision making, and make an effort to minimize the model's forecasting error which is difference between observation and estimator. Nevertheless, minimizing the error is not an easy task. Case-based reasoning is a problem solving method that utilizes the past similar case to solve the current problem. To build the successful case-based reasoning models, retrieving the case not only the most similar case but also the most relevant case is very important. To retrieve the similar and relevant case from past cases, the measurement of similarities between cases is an important key factor. Especially, if the cases contain symbolic data, it is more difficult to measure the distances. The purpose of this study is to improve the forecasting accuracy of case-based reasoning approach using fuzzy relation and composition. Especially, two methods are adopted to measure the similarity between cases containing symbolic data. One is to deduct the similarity matrix following binary logic(the judgment of sameness between two symbolic data), the other is to deduct the similarity matrix following fuzzy relation and composition. This study is conducted in the following order; data gathering and preprocessing, model building and analysis, validation analysis, conclusion. First, in the progress of data gathering and preprocessing we collect data set including categorical dependent variables. Also, the data set gathered is cross-section data and independent variables of the data set include several qualitative variables expressed symbolic data. The research data consists of many financial ratios and the corresponding bond ratings of Korean companies. The ratings we employ in this study cover all bonds rated by one of the bond rating agencies in Korea. Our total sample includes 1,816 companies whose commercial papers have been rated in the period 1997~2000. Credit grades are defined as outputs and classified into 5 rating categories(A1, A2, A3, B, C) according to credit levels. Second, in the progress of model building and analysis we deduct the similarity matrix following binary logic and fuzzy composition to measure the similarity between cases containing symbolic data. In this process, the used types of fuzzy composition are max-min, max-product, max-average. And then, the analysis is carried out by case-based reasoning approach with the deducted similarity matrix. Third, in the progress of validation analysis we verify the validation of model through McNemar test based on hit ratio. Finally, we draw a conclusion from the study. As a result, the similarity measuring method using fuzzy relation and composition shows good forecasting performance compared to the similarity measuring method using binary logic for similarity measurement between two symbolic data. But the results of the analysis are not statistically significant in forecasting performance among the types of fuzzy composition. The contributions of this study are as follows. We propose another methodology that fuzzy relation and fuzzy composition could be applied for the similarity measurement between two symbolic data. That is the most important factor to build case-based reasoning model.