• 품질경영학회지
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• 제32권2호
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• pp.212-231
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• 2004

It is very important to produce military goods for customers, and a customer satisfaction index should be developed for quality control of military goods. Seoul National University and Defense Quality Assurance Agency jointly developed MCSI (Military Customer Satisfaction Index). In this paper the model of MCSI is explained, and the sampling design and survey method is introduced. Also a preliminary test was undertaken, and its result is briefly explained.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.549-555
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• 2021

Machine Learning(ML) splits data into 3 parts, which are usually 60% for training, 20% for validation, and 20% for testing. It just splits quantitatively instead of selecting each set of data by a criterion, which is very important concept for the adequacy of test data. ML measures a model's accuracy by applying a set of validation data, and revises the model until the validation accuracy reaches on a certain level. After the validation process, the complete model is tested with the set of test data, which are not seen by the model yet. If the set of test data covers the model's attributes well, the test accuracy will be close to the validation accuracy of the model. To make sure that ML's set of test data works adequately, we design an experiment and see if the test accuracy of model is always close to its validation adequacy as expected. The experiment builds 100 different SVM models for each of six data sets published in UCI ML repository. From the test accuracy and its validation accuracy of 600 cases, we find some unexpected cases, where the test accuracy is very different from its validation accuracy. Consequently, it is not always true that ML's set of test data is adequate to assure a model's quality.

• Journal of Information Technology Applications and Management
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• 제11권4호
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• pp.209-225
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• 2004

This paper presents case studies on database Quality uSing an extended database Quality model developed by Korea Database Promotion Center, which shall be called KDPC2003. The model is applied to evaluate two kinds of databases ; one is an operational database, the other is an information service database. The purpose of this research is two-folded. One is to evaluate database quality and assess current status of database quality management; the other is to assess usefulness of KDPC2003 and to propose ideas for its augmentation. The findings in this study will provide basic facts to test database quality evaluation models.

• International Journal of Advanced Culture Technology
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• 제7권3호
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• pp.25-34
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• 2019

Purpose: The purpose of this study was to examine the effects of health promotion program, which was based on the Health Belief Model, on the health belief, health promoting behavior and quality of life for middle-aged women. Methods: The study focused nonequivalent control group pretest-posttest design. Data were collected among 40 middle-aged women (20 were experimental group and 20 were control group) on 1st November 2014 and 25th April 2015. The experimental group received 12 sessions of health promotion program for aging preparation once a week for 12 weeks. Data were analyzed by ${\chi}^2$ and t-test and paired t-test using the PASW 21.0 program. Results: The study results shown that, health belief (t=-2.94, p=.006), health promoting behavior (t=-4.76, p<.001) and higher quality of life (t=-7.65, p<.001) scores of experimental group were higher than the control group. Conclusion: The health promotion program based on the Health Belief Model was effective and increased the health belief and health promoting behavior and quality of life among middle-aged women. It seems health promotion program is necessary to improve middle age women's health and quality of later life.

• 한국산학기술학회논문지
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• 제12권1호
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• pp.1-6
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• 2011

유한요소해석을 통한 대상 구조물의 동특성 해석에 있어서 신뢰성 높은 실제 구조물의 동특성을 정확히 예측하는 해석결과는 얼마나 신뢰성이 높은 유한요소모델을 수립하는가하는 문제와 직결된다고 할 수 있다. 따라서 많은 경험과 노력을 통해 만들어진 모델을 대상으로 모달 테스팅을 통해 관심주파수대역에 걸쳐 모델을 검증하고, 이때 얻어진 데이터를 이용, 모델을 개선하는(Model updating) 작업을 거치게 된다. 본 연구에서는 이와 같이 중량과 크기의 제한으로 인하여 충격망치나 가진기로 가진하기 어려운 함정의 고유진동수 등을 얻기 위한 모달 테스팅 방법으로써 함정의 시운전 항목 중 하나인 주포 사격시험을 이용하여 그 결과와 가능성, 향후 진행방향에 대하여 고찰해 보았다.

• 한국유통학회지:유통연구
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• 제1권2호
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• pp.29-52
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• 1996

The objective of this study is to test Parasurman, Zeithaml & Berry(1985)'s service quality gap analysis model, and to confirm reliability and to confirm reliability and validity of the model. The reliability of the model is adopted, but the validity must be retested in the further study. In the results of the gap analysis model, the correlation between consumer expectations and management perceptions of consumer expectations(gap1) was not accepted. The correlation between management perceptions of consumer expectations and service quality specifications(gap2), the correlation between service quality specifications and the service actually delivered(gap3), and the correlation between services delivered and services promised to consumers(gap4) were accepted. To improve domestic telecommunication service quality, practical guides such as standardization of job roles, cooperation among customer-contact persons, communication between managers and employees, evaluation programs for employee's improvement of service quality, appropriate supports for customer-contact persons were suggested. For generalizing the gap model, additional studies under the different contexts and industries will be needed.

• 대한조선학회논문집
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• 제35권1호
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• pp.54-60
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• 1998

일반적으로 선박의 보침성능을 평가하기 위해서 spiral test가 이용되고 있다. 그러나 spiral curve를 얻기 위한 spiral시험 및 역spiral시험에 있어서 바람과 파도 등의 영향으로 많은 어려움이 따른다. 따라서 spiral 시험을 하지 않고도, zig-zag test의 overshoot angle을 이용하여 선박의 보침성능을 판정하는 방법이 시도되고 있다. 본 연구에서는 실선의 spiral 시험결과를 대상으로, K-T 조종수학모델을 적용하여 zig-zag 운동을 계산하고, overshoot angle과 보침성능과의 상관관계를 조사하였다.

• 한국환경과학회지
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• 제9권6호
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• pp.455-462
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• 2000

This study aims at the development of the model for a forecasting of water quality in river basins using artificial neural network technique. Water quality by Artificial Neural Network Model forecasted and compared with observed values at the Sangju q and Dalsung stations in Nakdong river basin. For it, a multi-layer neural network was constructed to forecast river water quality. The neural network learns continuous-valued input and output data. Input data was selected as BOD, CO discharge and precipitation. As a result, it showed that method III of three methods was suitable more han other methods by statistical test(ME, MSE, Bias and VER). Therefore, it showed that Artificial Neural Network Model was suitable for forecasting river water quality.

• 품질경영학회지
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• 제45권4호
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• pp.981-994
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• 2017

Purpose: In this study, the reliability growth management procedures for armed vehicle is suggested and an illustrative case study of launcher system is given. Methods: Crow-AMSAA model is adopted to manage reliability growth of armed vehicle using failure data acquired from development test phase to field operation phase. Between the development test phase and the production phase, the suggested reliability growth procedures for armed vehicle entails accelerated life test of the selected module whose design is changed to improve its reliability for assuring the target system reliability. And it can be verified through estimating the system reliability based on the failure data of field operation phase. Results: It is shown that the proposed reliability growth management procedures are effective for armed vehicle based on the case study of launcher system. After estimating the reliability of launcher system at every development test, some items are selected to change their designs for improving reliability. Accelerated life test is performed to prove the reliability improvement and finally it is verified through the field operation. Conclusion: The reliability growth management procedures for armed vehicle is suggested and the case study of launcher system shows it can be effective for managing the reliability growth of the armed vehicle.

• 성인간호학회지
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• 제18권2호
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• pp.213-222
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• 2006

Purpose: This study was designed to construct a structural model for explaining model health-related quality of life in acquired people with physical disabilities. Method: The hypothetical model of this study was consisted of 6 latent variables and 14 observed variables. Exogenous variables included in this model were physical status and economical level. Endogenous variables were social attitudes, family function, self-esteem, and health-related quality of life. Data were collected from 226 acquired people with physical disabilities residing in Seoul and Kyunggi-do from January to February, 2005. The collected data were analyzed using SAS 8.2 version and LISREL 8.32 version program. Results: The results of the fitness test of the modified model were follow as; ${\chi}^2=67.479$ (df=50, p=.05), GFI=.959, AGFI=.914, SRMR=.049, NFI=.961, NNFI=.979, CN=249.244. Health-related quality of life was influenced directly by physical status, economic level, and social attitudes and accounted for 88.8% of the variance by these factors. Conclusion: These results suggest that physical status is the most significant effect on health-related quality of life, and social attitudes and economic level are important factors having influences on health- related quality of life. Therefore improving physical status and economic level, and modifying negative attitudes are necessary to increase health-related quality of life of acquired people with acquired physical disabilities.