• 유통과학연구
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• 제17권10호
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• pp.17-26
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• 2019

Purpose - This research investigates the old marketing mix approach to satisfaction and loyalty from the perspective of research subjects of Samsung brand smartphone cases through empirical testing involving product quality, price, distribution channel variables as antecedent variables. Research design, data, and methodology - This study emphasizes the empirical/quantitative concept by using a survey as a data collection tool. The number of samples used was 179 eligible respondents who used Samsung smartphone devices for more than five years. Statistical testing tools use PLS with several testing stages such as the classical assumption test to the hypothesis testing stage. Results - The nine hypotheses proposed, as many as two hypotheses were proposed, namely intervening relationships involving Price and Distribution channel variables on customer satisfaction and customer loyalty. Conclusions - Product quality is the essential component affecting customer satisfaction and loyalty while distribution channel is a complementary component that is no less important to measure the extent to which customer satisfaction expectations and customer loyalty are realized for the product quality of the products that have been produced and marketed. The price component is not the only reason to make consumers satisfied and loyal.

• 품질경영학회지
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• 제24권1호
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• pp.61-72
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• 1996

It is very important to determine the likelihood ratios and the prior odds for designing a Bayesian processor in Built-In-Test system. Using traditional statistics, it is not difficult to determine the initial prior odds from the field data. For a newly designed system, development testing data or laboratory testing data could be used to replace field data. The likelihood ratios which playa key role in the Bayesian processor must be carefully determined, based on laboratory testing and statistical techniques. In this paper, expressing and determining the likelihood ratios by Geometric areas, Test, and Analytical method will be presented.

• 품질경영학회지
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• 제32권4호
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• pp.242-251
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• 2004

Several statistical methods are introduced 1=o analyze the accelerated failure time data. Most frequently used method is the log-linear approach with parametric assumption. Since the accelerated failure time experiments are exposed to many environmental restrictions, parametric log-linear relationship might not be working properly to analyze the resulting data. The models proposed by Buckley and James(1979) and Stute(1993) could be useful in the situation where parametric log-linear method could not be applicable. Those methods are introduced in accelerated experimental situation under the thermal acceleration and discussed through an illustrated example.

• International Journal of Quality Innovation
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• 제7권3호
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• pp.58-69
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• 2006

This paper presents neural network-based recognition system for automatic light emitting diode (LED) inspection. The back-propagation neural network (BPNN) is proposed and tested. The current-voltage (I-V) characteristic data of LED from the inspection process is used for the network training and testing. This study selects 300 random samples as network training and employs 100 samples as network testing. The experimental results show that if the classification work is done well, the accuracy of recognition is 100%, and the testing speed of the proposed recognition system is almost one half faster than the traditional inspection system does. The proposed neural-network approach is successfully demonstrated by real data sets and can be effectively developed as a recognition system for a practical application purpose.

• International Journal of Contents
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• 제13권1호
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• pp.38-44
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• 2017

Increased use of software and complexity of software functions, as well as shortened software quality evaluation periods, have increased the importance and necessity for automation of software testing. Automating software testing by using machine learning not only minimizes errors in manual testing, but also allows a speedier evaluation. Research on machine learning in automated software testing has so far focused on solving special problems with algorithms, leading to difficulties for the software developers and testers, in applying machine learning to software testing automation. This paper, proposes a new machine learning framework for software testing automation through related studies. To maximize the performance of software testing, we analyzed and categorized the machine learning algorithms applicable to each software test phase, including the diverse data that can be used in the algorithms. We believe that our framework allows software developers or testers to choose a machine learning algorithm suitable for their purpose.

• 한국산업융합학회 논문집
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• 제20권4호
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• pp.265-273
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• 2017

Major industries in Gyeongnam area include robot and automobile manufacturing, shipbuilding, and aviation. According to the research, the mechanical part of the products has been advanced, but awareness over the improvement of quality of the software still lacks. The quality performance test presently conducted by the companies in Gyeongnam is mostly the manual performance test performed by the program manager. In order to systematize this and extend the range of using software testing tools, the current study intends to suggest the necessity for conducting a survey on demand to improve performance and securing testing tools such as measured data analysis. Accordingly, this study is going to investigate 33 companies in Gyeongnam related with software in each of the major business areas centering around the actual field and examine activities related to software quality. And after figuring out the current status of retaining testing tools, the study will suggest the ways to enhance recognition over software quality and propose ultimate solutions to solve the problems on the current stage by finding out how to share information as much as possible in order to lay the foundation for extending the range of activity for the sake of software quality.

• Journal of the Korean Data and Information Science Society
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• 제17권3호
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• pp.763-774
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• 2006

The purpose of this study is to identify relationship among service quality, service value and customer satisfaction of food service industries. The respondents included 120 customers of K-restaurant in the survey. Data were analyzed by confirmatory factor analysis and cause-effect analysis among the constructs. After research model testing, the following results was obtained : Service Value was influenced directly and positively by the service quality. And customer satisfaction was influenced directly and positively by the service value. But customer satisfaction was not influenced directly and positively by the service quality.

• 품질경영학회지
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• 제44권3호
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• pp.487-508
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• 2016

Purpose: Current testing method for drying rate used in military textiles has different results according to the public testing institute. So the purpose of this study was to suggest the alternative method which secure the reliability of the drying rate test. Methods: We measured the drying rate by various test methods for military clothes 14 species including quick drying function and compared the test results. Also, the collected data through the test was analyzed using one-way ANOVA. The p-value of results was compared by various testing institutions. Results: The results of this study are as follow; A deviation occurred among the testing institutions in original test method(KS K 0815). Whereas it is verified that there is no deviation among the institutions in 5% significance level by another test method(ISO 17617). Also it would increase work efficiency by reducing the testing time required to test by using ISO 17617. Conclusion: Based on the results, we can suggest the reliable test method of the drying rate.

• 한국컴퓨터정보학회논문지
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• 제15권8호
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• pp.1-11
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• 2010

데이터스트림 관리시스템(DSMS)의 많은 응용분야에서는 단순한 실시간 스트림 데이터의 효율적인 처리뿐만 아니라 기존의 DBMS와 결합하여 데이터마이닝이나 데이터웨어하우징 같은 고급 서비스를 사용자에게 제공하는 것을 요구하고 있다. 본 논문에서는 고급 서비스를 위하여 DSMS와 DBMS를 결합한 시스템의 성능평가를 위한 도구를 개발하였다. 기존 연구 개발된 대표적인 DSMS와 DBMS를 결합하여 네트워크 모니터링 스트림 데이터를 기반으로 통합된 시스템의 성능평가를 수행하였다. 통합된 시스템의 평가를 위하여 JAVA로 통합 시스템 성능 평가 툴을 개발하였으며, 개발 된 툴을 이용하여 DSMS(STREAM, Coral8)와 DBMS(MySQL, Oracle10g)를 결합한 시스템의 성능평가를 수행하였다

• 한국건설관리학회논문집
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• 제9권4호
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• pp.193-205
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• 2008

공동주택 습식 공사의 주 재료인 콘크리트는 불량 발생 시 시공 후 개선이 어려울 뿐만 아니라 부실공사로 인한 건물 붕괴 등 대형 사고의 원인이 될 수 있으므로 콘크리트 품질시험의 중요성은 매우 크다고 할 수 있다. 콘크리트 품질시험은 크게 품질시험 관리 조직이 수행하는 시험업무와 문서관리 업무로 구분된다. 콘크리트 품질시험 업무 후 발생되는 정보 및 문서의 양이 과다하고, 결재 시 잦은 이동을 해야 하는 비효율적인 업무 프로세스는 품질 관리원기 업무량을 증가시키므로 품질시험 업무의 투명성 및 품질 이력 데이터의 신뢰성을 저하시키는 문제점을 지니고 있다. 본 연구에서는 최근 급속도로 발전하고 있는 정보기술을 콘크리트 품질시험 분야에 활용하여 품질시험 시 발생되는 정보를 수집하고, 품질시험 관련 문서관리 업무를 효율적으로 수행할 수 있도록 지원하는 PDA 및 웹 기반 품질시험 관리 시스템의 프로토타입을 제시하고자 한다. 본 연구는 품질시험 관련 조직의 업무량을 절감시키고 품질시험을 적시에 수행할 수 있도록 함으로써 품질시험 업무의 투명성 및 품질 이력 데이터의 신뢰성을 향상시킬 수 있을 것으로 기대된다.