• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.4
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• pp.68-75
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• 2008

This paper proposes a new data hiding method for binary images using the weighting value of pixel-value differencing. The binary cover image is partitioned into non-overlapping sub-blocks and find the most suitable position to embed a secret bit for each sub-block. The proposed method calculates the weighted value for a sub-block to pivot a pixel to be changed. This improves the image quality of the stego-image. The experimental results show that the proposed method achieves a good visual quality and high capacity.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.30-31
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• 2021

This study aims to build a deep learning model that can predict the value of concrete mixing properties according to a given concrete strength value. A model was created for a total of 1,291 concrete data, including 8 characteristics related to concrete mixing elements and environment, and the compressive strength of concrete. As the deep learning model, DNN-3L-256N, which showed the best performance on the prior study, was used. The average value for each characteristic of the data set was used as the initial input value. In results, in the case of 'curing temperature', which had a narrow range of values in the existing data set, showed the lowest error rate with less than 1% error based on MAE. The highest error rate with an error of 12 to 14% for fly and bfs.

• Journal of the Korean Mathematical Society
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• v.61 no.3
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• pp.427-444
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• 2024

The matrix completion problem is to predict missing entries of a data matrix using the low-rank approximation of the observed entries. Typical approaches to matrix completion problem often rely on thresholding the singular values of the data matrix. However, these approaches have some limitations. In particular, a discontinuity is present near the thresholding value, and the thresholding value must be manually selected. To overcome these difficulties, we propose a shrinkage and thresholding function that smoothly thresholds the singular values to obtain more accurate and robust estimation of the data matrix. Furthermore, the proposed function is differentiable so that the thresholding values can be adaptively calculated during the iterations using Stein unbiased risk estimate. The experimental results demonstrate that the proposed algorithm yields a more accurate estimation with a faster execution than other matrix completion algorithms in image inpainting problems.

• Ocean and Polar Research
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• v.43 no.1
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• pp.1-14
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• 2021

In this study, extreme wind speeds in the Western North Pacific (WNP) were estimated using reanalysis wind fields synthesized with an empirical typhoon vortex model. Reanalysis wind data used is the Fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5) data, which was deemed to be the most suitable for extreme value analysis in this study. The empirical typhoon vortex model used has the advantage of being able to realistically reproduce the asymmetric winds of a typhoon by using the gale/storm-forced wind radii information in the 4 quadrants of a typhoon. Using a total of 39 years of the synthesized reanalysis wind fields in the WNP, extreme value analysis is applied to the General Pareto Distribution (GPD) model based on the Peak-Over-Threshold (POT) method, which can be used effectively in case of insufficient data. The results showed that the extreme analysis using the synthesized wind data significantly improved the tendency to underestimate the extreme wind speeds compared to using only reanalysis wind data. Considering the difficulty of obtaining long-term observational wind data at sea, the result of the synthesized wind field and extreme value analysis developed in this study can be used as basic data for the design of offshore structures.

• Journal of the Korean earth science society
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• v.28 no.7
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• pp.825-837
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• 2007

The researchers compiled two sets of digital terrain data released by NORI (National Oceanographic Research Institute, Korea) and NIMA (National Imagery and Mapping Agency, USA) respectively and analyzed a new set of $3"{\times}3"$ gridded terrain data in order to calculate terrain correction value in gravity in and around the Korean Peninsula. Using this new set of terrain data, the researchers developed an effective algorithm to calculate precise terrain correction value in gravity considering Earth's curvature and coded a fortran program to evaluate terrain correction value covering the surface of which the radius reaches up to 166.735 km. The researchers also calculated terrain correction value over the southern part of Korea. According to the statistics of terrain correction value calculated in and around the Korean Peninsula up to 166.735 km of surface radius, the maximum value soars to 56.508 mGal and the mean value is 4.539 mGal.

• Journal of the Korean Home Economics Association
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• v.48 no.1
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• pp.27-40
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• 2010

The objectives of this study were to investigate differences in shopping style and consumption value of apparel product type, and to establish the effects of consumption value on shopping style. A questionnaire was used to collect data from 263 women aged between 20 to 49 in Gwangju on their shopping style and consumption value according to formal and casual product type. Collected data were subjected to frequency analysis, factor analysis, ANOVA, t-test and multiple regression analysis using statistical program SPSS(version 17.0). Results showed that shopping style could be influenced by six factors: fashion-recreational, quality-brand, impulsive, confused, brand-loyal, and price conscious consumer. Clothing consumption value was influenced by five factors: emotional, functional, epistemic, social, and situational value. Shopping style and clothing consumption value were significantly different between a formal product purchaser and a casual product purchaser. Consumption value had a significant influence on shopping style of the formal product purchaser and also the casual product purchaser.

• Journal of Preventive Medicine and Public Health
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• v.33 no.4
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• pp.426-435
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• 2000

Objectives : To determine the relationships among quality, satisfaction, value and purchase intention in health care service. Methods : The data were gathered from out-patients who had used hospital services. They were asked to assess service quality, satisfaction, service value, and purchase intention. A total of 557 usable questionnaires were gathered. The data were analyzed using SAS version 6.12. The analysis methods employed in the study were confirmatory analysis and covariance structural analysis. Results : Service quality exhibited a significant and positive relationship with satisfaction, service value, and purchase intention. Furthermore, satisfaction had a significant and positive relationship with purchase intention. And finally, service value had a significant and positive relationship with both satisfaction and purchase intention. Based on these findings, it is evident that satisfaction was a mediator between service quality and purchase intention. Also service value played a mediating role between service quality and satisfaction. Conclusions : These results suggest that service quality is an antecedent of satisfaction and sonics value, and exerts a stronger influence on purchase intentions than satisfaction and service value do. Thus, managers may need to emphasize service quality in health care.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.165-176
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• 2021

The primary purpose of this study is to identify determinants influencing Vietnamese consumers' purchase intention towards Japanese convenience goods. The research model consisting of six factors affecting the dependent variable is proposed based on the Theory of Consumption Values and Theory of Perceived Value of purchase. This study employs a survey method in a convenient sampling method to collect data of target respondents. Data consisting of 180 samples was collected and analyzed using the SMARPLS3 software. The measurement model is assessed to confirm the validity and reliability of the construct, then hypotheses testing is performed with Bootstrapping analysis. The results demonstrated that five factors affect Vietnamese consumers' purchase intention towards Japanese convenience goods, including the price of the product, quality of the product, functional value, emotional value, and conditional value. Major findings of this study suggest that the functional value that consumer perceives about Japanese convenience goods has the most significant relationship with their purchase intention, followed by the quality of the product and the price of the product. Besides, emotional value and conditional value have a moderate influence on consumers' purchase intention. Whereas the influence of the epistemic value of the product on consumers' purchase intention is insignificant in this presented study.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.83-92
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• 2019

Advertising signboards are designed for the visibility to affects recall and recognition of costumers. It is well know that the visibility from images is created by the value difference among colors. The research defines whether the background color combination of outdoor signboards is configured to maximize visibility, by a series of color value variation in complex commercial facilities. The subject of study is to examine how the visibility is made by the color combination since visibility cannot be obtained independently. Two steps of analysis were performed to confirm that the color composition of signboards was based on the color value difference. The first is to analyze that the entire colors of signboards are clearly categorized as different value groups. All components of colors, hue, value and chroma had been analyzed by color aesthetic measures to prove that the value variation has the only regularity and the principle of composition. The second step is a further verification with an ample amount of samples to determine whether series of signboards create a value altering pattern. The data for analysis is gained by colorimetric survey and the color data are used for exponentializing the degree of combining, which shows selective affinity between each pair colors.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.575-584
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• 2021

This research aims to examine and analyze the impact of customer shifting behavior on the shopping emotion. Based on impulse buying, customers tend to behave recently based on the constructed variables of impulse buying, outlet ambience, hedonic shopping value utilitarian shopping value, and shopping emotion. This study employs samples/survey data of the population consisted of Asian women parents in Indonesia. The survey data of this research is based on observations using time series with cross-section/one-shot, which was done in 2019. The results indicate that variable outlet ambience, hedonic shopping value, and shopping emotion have a positive and significant impact on impulse buying. Whereas the utilitarian shopping value variable has a positive but not significant relationship against impulse buying. There is a positive influence between ambience outlets and utilitarian shopping value on shopping emotion. The variable hedonic shopping value has a negative and not significant relationship towards shopping emotion. The finding of this study suggests that both the retail stores and even the superstores must pay more attention to the design of outlet ambience to create the hedonic shopping value and eventually may attempt the attention of the impulse buying customers.