• Journal of Korean Society for Quality Management
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• v.34 no.1
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• pp.73-77
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• 2006

In this paper, the Bayesian procedure for the multiple test of fraction nonconforming, p, is proposed. It is the procedure for checking whether the process is out of control, in control, or under the permissible level for p. The procedure is as follows: first, setting up three types of models, $M_1:p=p_0,\;M_2:pp_0$, second, computing the posterior probability of each model. and then choosing the model with the largest posterior probability as a model most fitted for the observed sample among three competitive models. Finally, the simulation study is performed to examine the proposed method.

• Journal of Korean Society on Water Environment
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• v.21 no.6
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• pp.617-623
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• 2005

Forestry and agricultural land uses constitute 85% of Korea and these land uses are typically mixed in many watersheds. Biological Oxygen Demand (BOD) concentration is a primary factor for managing water qualities of the water resources in Korea. BOD loadings from diffuse sources, however, not well monitored yet. This study aims to assess BOD loadings from diffuse sources and their affecting factors to conserve quality of water resources. Event Mean Concentration (EMC) of BOD was calculated based on the monitoring data of forty rainfall events at four agricultural-forestry watersheds. Exceedence cumulative probability of BOD EMCs were plotted to show agricultural activities in a watershed impacts on the magnitude of EMCs. Prediction equation for each rainfall event was proposed to estimate BOD EMCs: $EMC_{BOD}(mg/L)=EXP(0.413+0.0000001157{\times}$(discharged runoff volume in $m^3$)+0.018${\times}$(ratio of agricultural land use to total watershed area).

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.325-329
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• 2006

In this paper, the Bayesian procedure for the multiple test of fraction nonconforming, p, is proposed. It is the procedure for checking whether the process is out of control, in control, or under the permissible level for p. The procedure is as follows: first, setting up three types of models, $M_1:p=p_0,\;M_2:pp_0$, second, computing the posterior probability of each model. and then choosing the model with the largest posterior probability as a model most fitted for the observed sample among three competitive models. Finally, the simulation study is performed to examine the proposed method.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.269-278
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• 2013

Recently, fundamental manufacturing industry such as casting foundry, plasticity, welding etc. is rise to concerned. This study is the analysis of using structural equation method in order to verify the significant activation factor of quality management activities and the effect on business performance in fundamental manufacturing industry. To perform this research, we surveyed CEOs, managers, workers working for manufacturing business. We analysed valid 357 questionnaires that we could use for this research using SPSS 15.0 and AMOS 18.0. The results through this research is following. First, we verified the relationship between organizational supports and employee's participation to quality management activity, we could get the result that positive influence on to interrelation. Second, we analysed that organizational supports had a meaningful effect on not process performance but business performance. Third, we found that employee's participation to quality management activity had a significant to business performance, and process performance had a meaningful effect to business performance.

• Journal of Advanced Marine Engineering and Technology
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• v.25 no.6
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• pp.1220-1227
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• 2001

The condensation pressure drop fur refrigerant R-22 flowing in the plate and shell heat exchanger were investigated experimentally in this study. Two vertical counterflow channels were formed in the exchanger by three plates of commercial geometry with a corrugated trapezoid shape of a chevron angel of $45^{\circ}$. The condensing R-22 flowing down in one channel exchanges heat with the cold water flowing up in the other channel. The effects of the mean vapor quality, mass flux, average imposed heat flux and system pressure of R-22 on the pressure drop were explored in detail. The quality change of R-22 between the inlet and outlet of the refrigerant channel ranges from 0.03 to 0.05. The present data showed that pressure drop increases with the vapor quality. At a higher mass flux, pressure drop is higher for the entire range of the vapor quality. Also, a rise in the average imposed heat flux causes an slight increase in the Pressure drop. Finally, at a higher system pressure the pressure drop is found to be slightly lower. Correlation is also provided for the measured pressure drops in terms of the friction factor.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.35 no.4
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• pp.348-355
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• 2002

To know characteristics of water quality in Saemankeum area, we were investigated the water quality of surface layer from July of 1999 to June of 2000. The concentrations of COD and chlorophyll a were in the range of $0.64\~6.40$ (mean 1.96)mg/L, $1.95\~51.55$ (mean 11,07)$mg/m^3$, respectively. The annual mean concentrations of DIN, DIP were found to be 21.182 $\mu$g-at/L and 0,655 $\mu$g-at/L respectively, which were exceeding second grade of seawater quality standard. The nitrogen ratio to the phosphorus was lower than 1. Therefore, nitrogen was playing an important role in phytoplankton growth as limiting factor in study area. Mean values of eutrophication index were exceeding 1, which was the eutrophication criteria. Especially Mankyung and Dongjin estuary were shown over 10 as eutrophication index. Therefore, Saemankeum area could be evaluated to possibility area for eutrophication. Released rate for ammonia nitrogen and phosphate phosphorus from sediments were 62.92 ${\mu}g-at/m^3/hr$ and 6.71 ${\mu}g-at/m^3/hr$, respectively.

• Journal of The Korean Association of Information Education
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• v.16 no.1
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• pp.81-89
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• 2012

Quality in smart learning is composed of many factors, and it is more complicated than the traditional education. This study put emphasis on three aspects of the smart learning quality(contents, systems, services). This study depended mostly on literature review, supplemented by FGI(Focus Group Interview) for classification of the smart learning quality factors. On a 5 point Likert scale, the survey enables the users to rate the relative importance of factors, followed by another factor performance rating. The questionnaire were composed of 39 questions. 8 questionnaire sheets were excluded which were not properly filled in or unsuitable for the analysis, and therefore, a total of 112 questionnaires were used for the final analysis. Collected data was statistically analyzed using the SPSS 18.0 for Windows statistical package. Importance-performance analysis(IPA; gap between importance and performance) is used for the empirical test.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.280-291
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• 2021

The purpose of this study is to investigate the effect of marathon service quality on service value and participant satisfaction. For data analysis, a total of 350 questionnaires were distributed to participants in the marathon, and a total of 329 (94%) data were used as valid samples, excluding 21 unscrupulous responses. For data processing, frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis were performed using PASW 21.0. This resulted in the following results. First, marathon service quality has an effect on service value. Second, marathon service quality had an effect on satisfaction. Third, service value influenced participant satisfaction.

• The Journal of Information Systems
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• v.32 no.2
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• pp.1-24
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• 2023

Purpose The aim of this study is to investigate how system quality, privacy concerns, and usefulness impact user satisfaction and word-of-mouth intention towards smart order services among Chinese consumers. The study also seeks to provide both theoretical and practical implications based on the findings. Design/methodology/approach This study conducted an empirical study on Chinese consumers through an online survey on 274 users of smart order service in China. To analyze the data, frequency analysis, reliability analysis, and confirmatory factor analysis were performed using SPSS 26.0 and AMOS 26.0 statistical programs, and structural equation model was used for hypothesis testing. Findings The study results are as follows. First, system quality was found to have a positive effect on usefulness and user satisfaction. Second, privacy concerns were found to have a positive effect on user satisfaction, but not on usefulness. Third, user satisfaction was found to have a positive effect on consumers' word-of-mouth intention of the smart order service. Finally, mediating effects were found between system quality and user satisfaction through usefulness, as well as between system quality, perceived privacy concern, and usefulness through user satisfaction.

• Journal of dental hygiene science
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• v.12 no.6
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• pp.591-599
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• 2012

The purpose of this study was to analyzed the major factor variables against oral health behaviors and oral health state and quality of life (QOL) for some residents in Gyeongsangnam-do area. This study was based on the PRECEDE model as a theoretical model for diagnosis in health education needs. Total data 697 were analyzed by PASW 18.0 program. Results for this study were as follows: Firstly, t-test results in sex had statistically significant in predisposing, reinforcing, oral health behavior, health${\cdot}$QOL factor, education had statistically significant in predisposing, reinforcing, health${\cdot}$QOL factors, also, number of teeth had statistically significant in health${\cdot}$QOL factor. Secondly, ANOVA results in age had statistically significant in predisposing, enabling, health${\cdot}$QOL factor, area had statistically significant in health${\cdot}$QOL factor, also, economic had statistically significant in reinforcing, oral health behavior. Thirdly, in CATREG analysis, oral health behavior as the response variable results in had statistically significant in sex, predisposing, reinforcing, enabling factor and its explanation was 28.3%. Lastly, in CATREG analysis health${\cdot}$QOL as the response variable results in had statistically significant in age, number of tooth, enabling, oral health behavior factor and its explanation was 17.9%. So, results from this data we could contribute to identify oral health behavior patterns in Gyeongsangnam-do area residents.