• Journal of the East Asian Society of Dietary Life
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• v.17 no.4
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• pp.532-539
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• 2007

The purpose of this study was to investigate the influence of cooking wine's functions on food quality attributes. factor analysis, reliability analysis (Cronbach's $\alpha$), and multiple regression analysis were employed to analyze the data. The cooking wine functions were divided into 3 factors (expectation of utility, functionality, and quality enhancement). According to the multiple regression analysis of cooking wine factors to food quality, all factors had positive influences on food quality. Among the three factors, expectation of utility(=.556, p<0.001) had the most significant influence on food quality. And functionality (=.321, p<0.001) and quality enhancement(=.296, p<=0.001) also had significant effects in that order. further research should be conducted on cooking wine's utility aspects and their effects on food quality. Finally, we anticipate that the results of this study will be useful information for food-service companies.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1999.11a
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• pp.294-296
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• 1999

Solid solution ceramics having various ratios between xPb( $Y_{1}$2/T $a_{1}$2/) $O_3$ and Pb(Z $r_{0.52}$ $Ti_{0.48}$) $O_3$were synthesized by a conventional solid state reaction for well sintered specimens, dielectric and piezoelectric prperties were studied as a function of composition. The dielectric constant of PYT-PZT ceramics of 4 mol% PYT was 1,424 at room temperature. The maximum value of electromechanical couping facotr $k_{p}$ of 51% $k_{t}$ of 30% were obtained at the composition of 4 mol% PYT, howerver mechanical quality factor( $Q_{m}$) had a minimum value of 69 at 4 mol% PYT. Also the maximum value of piezoelectric constant of $D_{33}$(310[pC/N]) and $d_{31}$(-131[pC/N]) were obtained at the composition of 4 mol% PYT content.ntent.t.t.t.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2001.07a
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• pp.993-996
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• 2001

In the composition of 0.16BaO-0.15(Nd$\_$0.87/,Bi$\_$0.13/)$_2$O$_3$-0.69TiO$_2$$.$Glass [EG-2782] 3wt% addition sintered at 1080$^{\circ}C$, we could obtained microwave properties of dielectric constant $\varepsilon$$\_$r/= 80.1, quality factor Q ${\times}$ f = 810 (at 3.5 GHz]) and temperature coefficient of resonant frequency $\tau$$\_$f/ = -1.3 [ppm/$^{\circ}C$]

• The Korean Journal of Food And Nutrition
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• v.29 no.5
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• pp.746-752
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• 2016

In this study, we analyzed the dietary style of Chinese singles; in addition, the effect of convenience food consumption on the quality of life of singles was evaluated through construct model development on the relationship between the frequency of consumption and satisfaction with convenience food and quality of life. A statistical analysis of 153 surveys from Tianj was conducted using SPSS 12.0 for Windows and SEM using AMOS 5.0 statistics package. The reliability of the data was confirmed by an exploratory factor analysis and Cronbach's alpha coefficient. The measurement model was confirmed as appropriate by a confirmatory factor analysis of the measurement model in conjunction with AMOS. The results of a factor analysis were as follows. Dietary style was categorized into four factors. The level of satisfaction with convenience food was categorized into seven factors and quality of life was categorized into four factors. The reliability of these findings was supported by a Cronbach's alpha coefficient of 0.6 and higher for all the factors. For the level of satisfaction with convenience food based on dietary style and the quality of life of singles, a structural equation model was constructed and analyzed. The results of all tests indicated that the model satisfied the recommended level of goodness of fit index and thus, the overall research model was appropriate. The current study highlights the increased interest in eating habits of singles and is necessary for further improvement in nutrition education.

• Journal of radiological science and technology
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• v.47 no.1
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• pp.39-48
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• 2024

In this study, we optimized the FNLM algorithm through a simulation study and applied it to a phantom scanned by low-dose CT to evaluate whether the FNLM algorithm can be used to obtain improved image quality images. We optimized the FNLM algorithm with MASH phantom and FASH phantom, which the algorithm was applied with MATLAB, increasing the smoothing factor from 0.01 to 0.05 with increments of 0.001 and measuring COV, RMSE, and PSNR values of the phantoms. For both phantom, COV and RMSE decreased, and PSNR increased as the smoothing factor increased. Based on the above results, we optimized a smoothing factor value of 0.043 for the FNLM algorithm. Then we applied the optimized FNLM algorithm to low dose lung CT and lung CT under normal conditions. In both images, the COV decreased by 55.33 times and 5.08 times respectively, and we confirmed that the quality of the image of low dose CT applying the optimized FNLM algorithm was 5.08 times better than the image of lung CT under normal conditions. In conclusion, we found that the smoothing factor of 0.043 among the factors of the FNLM algorithm showed the best results and validated the performance by reducing the noise in the low-quality CT images due to low dose with the optimized FNLM algorithm.

• Journal of dental hygiene science
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• v.9 no.1
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• pp.53-59
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• 2009

Infection control is now recognized as an important quality indicator in dental health service setting. The purpose of this study was to develop and validate Dental Hygienist's Infection Control Practice Scale for quality management of dental health service in Korea. The data of 254 dental hygienists was subjected to exploratory factor analysis using SPSS 16.0 and confirmatory factor analysis using AMOS 16.0. The total items of preliminary scale were 21 items and 5 subscale. Principal component analysis was completed with Varimax rotation. The results show a change in factor structure from 5 factor solution to 4 factor solution. The confirmatory factor analysis confirmed the four subscales(Immunization and periodic tests, Clinical procedure, Handwashing, Personal protection) which have a total of 12 items. After the item deleted because factor loading was low, measured model was tested. The results of the measurement model indicated fit indices: $x^2$= 79.593(df = 38, 0 = 0.000), RMR = 0.045, GFI = 0.940, CFI = 0.904, AGFI = 0.896, NFI = 0.837, TLI = 0.861, RMSEA = 0.67. The squared correlation between four constructs were less than the average variance extracted(AVE) of four constructs. Multiple regression analysis was completed. Dependent variable was the perceived infection control practice by dental hygienist. Independent variables were four summated subscales(R = 0.552, $R^2$= 0.304, Adjusted $R^2$= 0.431, F = 25.813, p = 0.000). Unstandardized coefficients of three independent variables were statistically significant.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.9
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• pp.1049-1058
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• 2015

This paper aims to study the relationship of U-Traffic Service Quality and User Satisfaction. Independence variables is u-traffic service quality, and mediation parameters are publicity, usefulness and economic. Dependent variable is user satisfaction. Using SPSS 18.0, a series of factor analysis, reliability analysis, multiple regression analysis and path analysis have been performed. The conclusion is as follows. First, U-traffic service quality have a positive effect on user satisfaction directly. Second, U-traffic service quality have a positive effect on user satisfaction through mediation parameters of publicity, usefulness and economic. Third, service quality factor of the U-traffic service quality have more effect on user satisfaction than system quality factor. Last, usefulness among mediation parameters have the most positive effect on user satisfaction.

• Journal of Distribution Science
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• v.11 no.4
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• pp.13-21
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• 2013

Purpose - The purpose of this research is to find out the relationship between cue utilization and perceived website quality and purchase intention for an online store. To achieve this, we suggest a conceptual model that examines the relationship among product introductions, online communications, online reviews, perceived quality, and online purchase intention. Research design, data, and methodology - This research utilizes SPSS 19.0 and AMOS17.0 to analyze the data. We used factor analysis to shape the structure of the original data and saved the information with multiple dimensions. We then deployed the AMOS software to analyze the model. We performed both factor analysis and structural equation analysis. Results - The findings of this study show that graphic and word descriptions, online chatting, and online reviews have a positive influence on perceived quality. Furthermore, perceived quality has a positive influence on purchase intention. Conclusions - First, detailed product information should be added to influence quality perception. Second, consumers expect a certain level of service while shopping. Simultaneously, online products reviews from consumers deserve attention as they can impact consumer purchase intention.

• Journal of Korean Society for Quality Management
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• v.49 no.3
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• pp.281-297
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• 2021

Purpose: The purpose of this study was to select factors affecting the global competitiveness of testing and certification bodies and to develop evaluation indicator. Methods: Considering the industrial characteristics of Korea, the electrical and electronic test and certification field was selected as the research subject. As a research method, various factors were extracted through exploratory research such as theoretical considerations on the competitiveness of testing and certification bodies and analysis of the growth process of global testing and certification bodies, and focused interviews and surveys were conducted with conformity assessment experts. Results: The 16 factors affecting the global competitiveness of testing and certification institutions were identified. Among the 4 PEST factors, the technological factor had the highest importance, followed by the economic factor, the social factor, and the political factor. The average of the 16 factors was 0.0625, and the 8 factors above the average included 4 technological factors, 3 economic factors, and 1 social factor, but did not include political factors. The factor with the greatest weight was Standardization Capability for Testing & Certification 0.105. Conclusion: It can be used to evaluate the global competitiveness level of domestic testing and certification bodies using evaluation indicators and to establish strategies for strengthening global competitiveness.

• Proceedings of the Culinary Society of Korean Academy Conference
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• 2006.08a
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• pp.115-134
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• 2006

This study was conducted during a period from July 4 to 30 to investigate the effect of restaurant environment upon customer's satisfaction and crowdedness awareness. Total 800sets of questionnaire were distributed among major food service corporations. They were 16 restaurants from McDonald, Burger King, Popeyes, KFC, Rits Carlton, Intercontinental, The Westin Chosun, Hilton, Merriot, Outback Steak House, Bennigans, VIPS, Pizza Hut Pul-hyanggi(Scent of grass), Nolboo Co.,, and Our Story, and received 50 see each to hand out to their customers. Out of total 800 sets of questionnaires, 592 sets (74.25% were retrieved and underwent a Multiple Regression Analysis. We found the following results from the study. First among each variable of restaurant environment that had a significant effect on the crowding, 'pTast service' and 'responsiveness to customer complaints' sooted a regression coefficient value 0.381 and 0.325 respectively. Second, among each restaurant environment factor that had a significant effect on crowding, 'quality of facility' sooted the highest regression coefficient value 0.423 with a standard error score 0.1074, fellowed by 'status of waiting', 'overall ambience' and 'service quality' in ascending order. Third, in the analysis of the effect of each environmental factor upon the satisfaction rate, 'status of waiting' showed the highest regression coefficient value 0.3821 with a standard error score 0.4565, followed by 'cleanliness', 'service quality' and 'conveniency', in ascending order.