• Journal of Korean Society for Quality Management
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• v.47 no.2
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• pp.283-294
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• 2019

Purpose: Although the development of bulletproof helmets continues to be carried out, little has been improved in testing methods. Therefore, in this study, we studied the improvement of the test method of the domestic bulletproof helmet. Methods: The causes of head damage in the battlefield and the trends of bulletproof helmet development in developed countries were analyzed. In addition, improvements were derived by comparing the test methods of bulletproof helmet in Korea and the United States. Results: The results of the improvement by comparing the test methods of bulletproof helmet in Korea and the United States are as follows First, it is an addition to the scope of environmental treatment. Second, it is an addition to the level of protection. Third, the addition of the level of protection by impact. Conclusion: This study considered testing methods to prevent head injuries to shocks that cannot be identified by conventional methods. In addition, it considered testing methods for various threats by improving protection performance to advanced countries' levels.

• Food Science and Industry
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• v.52 no.1
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• pp.20-31
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• 2019

Sensory perception of food/beverage products is one of the most important quality factors to determine consumer acceptability and thus sensory discrimination methodology has been a vital tool for quality management. Signal detection theory(SDT) and Thurstonian modeling provide the most advanced psychometric approach to modeling various discrimination methods. In these theories, perceptual and cognitive decisional factors are considered so that, a fundamental measure of sensory difference (d') can be computed, independent of test methods used. In this paper, sensory discrimination analysis based on SDT and Thurstonian modeling is introduced for more accurate and systematic applications of sensory and hedonic quality management in industry. Ways to realize the statistical power and relative sensitivity of sensory discrimination methods theorized in SDT and Thurstonian modeling in practice, are also discussed by using a case study of the Nongshim quality management program for drinking water in which SDT A-Not A test methodology was further optimized.

• Proceedings of the Korea Concrete Institute Conference
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• 2002.10a
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• pp.561-566
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• 2002

Recently, high quality exposed concrete is needed to achieve high quality surface for outer wall of the building. In this study, to solve above characteristic of the exposed concrete we selected self compacting concrete(SCC) and compared with normal concrete. So, we developed the SCC mix design and performed the semi mock-up test. Through this result, we performed the pilot test and mock-up test to check surface of outer wall and to measure formwork pressure As a result because SCC is better than normal concrete with respect to flowability and seggregation resistance SCC is suit to a exposed concrete needed high quality surface for outer wall of the building.

• Journal of Korean Society for Quality Management
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• v.29 no.4
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• pp.92-102
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• 2001

Software testing during development and operation should exercise to obtain the desired software quality and leave failure data set. So far, many software reliability models are classified and can be used to measure a software reliability only based on its failure history But, in practice, developers or testers of software systems must decide which existing software reliability model can be fitted. In this paper, we will show that an appropriate reliability model can be selected by considering relations between characteristics of each testing environment and models' assumptions. Several methods of software testing are presented and discussed. Also, unit test, integrated test, function test and system test that are sequentially exercised during development will be introduced.

• Journal of the Korean Society of Industry Convergence
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• v.9 no.3
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• pp.221-228
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• 2006

As Industrialization gets more and more advanced, human technological medical apparatus for dentistry has been developed. Such a medical apparatus have to let precision revolution and torque control facilitate. Consequently, Development of Micro hand-piece with strong durability should be required. Moreover, It's also very important to evaluate performance of such a Micro hand-piece, Evaluation of Mechanical property of Material and ANOVA have been known as useful methods in the field of Quality Evaluation. For Verification of Quality Evaluation, It has been evaluated by One-way layout ANOVA based on the data of Surface Roughness Test. Anyhow, This test has been respectively carried out by 3 kinds of Test and Superior performance has appeared in the Test result.

• Journal of the Korea Institute of Building Construction
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• v.15 no.3
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• pp.339-349
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• 2015

A large-scale research project to develop a robot-based automated building construction system for steel structures was successfully conducted in South Korea. This paper discusses the results of the real-scale test and the key lessons gained from the testing process. The system was assessed in terms of system productivity, construction cost, quality control, and safety improvements. While the productivity of the automated system showed an improvement of about 9.5%, the construction cost was about six times higher than that of the conventional method. The field test also indicated that the automated system requires more on-site quality control measures. However, because the system can eliminate the causes of various safety accidents, safety levels might be expected to be improved significantly. It is expected that this paper will provide knowledge and insight for developing new systems, and the results of the real-scale test might be useful for other researchers and similar research projects in the future.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.977-985
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• 2012

Data quality and climate forecasting performance deteriorates because of long climate data contaminated by non-climatic factors such as the station relocation or new instrument replacement. For a trusted climate forecast, it is necessary to implement data quality control and test inhomogeneous data. Before the inhomogeneity test, a reference series was created by $d$ index to measure the temperature series relationship between the candidate and surrounding stations. In this study, a inhomogeneity test to each season and climatological station was performed on the daily mean temperatures, daily minimum temperatures and daily maximum temperatures. After comparing two inhomogeneity tests, the traditional and the adjusted SNHT method, we found the adjusted SNHT method was slightly superior to the traditional one.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.616-628
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• 2016

The purpose of this study was to examine symptom experiences, sleep quality, and quality of life in asthma patients and investigate any correlation among these factors. The study was conducted on 146 asthma patients that visited the Internal Medicine Department of Allergies at a hospital in Korea from March to June, 2015. Tools that were originally developed by Oh (1999) were used to measure the symptom experience of asthma patients. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) while quality of life was measured by the Short Form 36-Items Heath Survey (SF-36). The dates were analyzed by t-test, ANOVA, Scheffe test, and Pearson's correlation coefficient using the SPSS 20.0 program. Symptom experiences of asthma patients showed a positive relation with sleep quality (r=.468, p<.001) and negative relationship with quality of life; PCS (r=-495, p<.001) and MCS (r=-.411, p<.001). The symptom experiences of an asthma patient along with sleep quality and quality of life turned out to be correlated. Therefore, this study is expected to be utilized as a basis for the development of assessment tools and arbitration programs to elucidate symptom experiences of asthma patients from various aspects and enhance their sleep quality and quality of life.

• Korean Journal of Adult Nursing
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• v.28 no.3
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• pp.314-322
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• 2016

Purpose: The purpose of this study was to identify the quality of life reported by patients with multiple myeloma and secondly to identify the factors that impact the quality of life (QoL). Methods: 189 patients with multiple myeloma completed survey questionnaires. Quality of life was evaluated using European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core (EORTC QLQ-C) 30 and Multiple Myeloma (MY) 20. The data were analyzed using the t-test, ANOVA, Kruskal-Wallis test, Duncan test and the Mann-Whitney test. Results: The mean score for each subscale of EORTC QLQ-C30 was 53.35 for global health status, 73.37 for functional scale, and 31.29 for symptom scale. The mean score for each subscale of EORTC QLQ-MY20 was 60.49 for future perspective, 59.78 for body image, 20.25 for disease symptom and 24.99 for side effect of treatment. Quality of life was reported to be significantly lower among females, unemployed, dependence on a sibling for financial support for treatment, a diagnosis of anemia, having treatment, high score on Eastern Coorperative Oncology Group and high grade peripheral neuropathy. Conclusion: The results of the survey can identify characteristics impacting the QoL of patients with multiple myeloma. Developing appropriate educational strategies and nursing interventions would enhance their QoL.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.1-7
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• 2015

Many people are interesting software quality. Because of, we depend on software in our life. In terms of, I think, good software is a good quality software. So, when we develop the software, we need trying to improve software quality. In this paper, we analyze software test data. We emphasize that software quality is very important in our life. We use software experimental data, in order to analyze of software quality. On the basis of ISO/IEC 9126-2, we classify the test data and we analyze the difference of error frequency according to functionality, reliability, usability, efficiency, maintainability, portability. We analyze the number of test and used time according software type. We want to search effect variable, going through testing result and measurement convergence, we know the effect variable of functionality and efficiency.