• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.155-164
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• 2015

In this paper, we propose a new color interpolation method based on trilateral filter approach, which not only preserve the high-frequency components(image edge) while interpolating the missing raw data of color image(bayer data pattern), but also immune to the image noise components and better preserve the detail of the low-frequency components. The method is the trilateral filter approach applying a gradient to the low frequency components of the image signal in order to preserve the high-frequency components and the detail of the low-frequency components through the measure of the freedom of similarity among adjacent pixels. And also we perform Gaussian smoothing to the interpolated image data in order to robust to the noise. In this paper, we compare the conventional demosaicing algorithm and the proposed algorithm using 10 test images in terms of hue MAD, saturation MAD and CPSNR for the objective evaluation, and verify the performance of the proposed algorithm.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.1
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• pp.53-58
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• 2013

In this paper, we proposed low power algorithm for battery residual capacity and a task. Algorithm the mobile devices power of the battery residual capacity for the task to perform power consumption to reduce the frequency alters. Task is different in power consumption according to kinds of in time accomplishment device to use. Adjustment of power consumption analyzes kinds of given tasks from having the minimum power consumption task to having the maximum power consumption task. Control frequency so that power consumption waste to be exposed to battery residual capacity can be happened according to the results analyzed. Experiment the frequency by adjusting power consumption a method to reduce using [7] and in the same environment power of the battery residual capacity consider the task to perform frequency were controlled. Efficiency was proved compare with the experiment results [7]. The experiments results show increment in the number of processing by 45.46% comparing with that [7] algorithm.

• Journal of Power Electronics
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• v.9 no.1
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• pp.36-42
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• 2009

This paper presents a review of an improved high power-high frequency III-V wide bandgap (WBG) semiconductor device, Gallium Nitride (GaN). The device offers better efficiency and thermal management with higher switching frequency. By having higher blocking voltage, GaN can be used for high voltage applications. In addition, the weight and size of passive components on the printed circuit board can be reduced substantially when operating at high frequency. With proper management of thermal and gate drive design, the GaN power converter is expected to generate higher power density with lower stress compared to its counterparts, Silicon (Si) devices. The main contribution of this work is to provide additional information to young researchers in exploring new approaches based on the device's capability and characteristics in applications using the GaN power converter design.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.149-163
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• 2023

In this study we analyze research trends on machine learning healthcare based on papers from the United States, the United Kingdom, and Korea. In Elsevier's Scopus, we collected 3425 papers related to machine learning healthcare published from 2018 to 2022. Keyword frequency and centrality analysis were conducted using the abstracts of the collected papers. We identified keywords with high frequency of appearance by calculating keyword frequency and found central research keywords through the centrality analysis by country. Through the analysis results, research related to machine learning, deep learning, healthcare, and the covid virus was conducted as the most central and highly mediating research in each country. As the implication, studies related to electronic health information-based treatment, natural language processing, and privacy in Korea have lower degree centrality and betweenness centrality than those of the United States and the United Kingdom. Thus, various convergence research applied with machine learning is needed for these fields.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.13-27
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• 2023

In this study, we tried to identify research trends on artificial intelligence security focusing on the United States, United Kingdom, and South Korea. In Elsevier's Scopus We collected 4,983 papers related to artificial intelligence security published from 2018 to 2022 and by using the abstracts of the collected papers, Keyword frequency and centrality analysis were conducted. By calculating keyword frequency, keywords with high frequency of appearance were identified and through the centrality analysis, central research keywords were identified by country. Through the analysis results, research related to artificial intelligence, machine learning, Internet of Things, and cybersecurity in each country was conducted as the most central and highly mediating research. The implication for Korea is that research related to cybersecurity, privacy, and anomaly detection has lower centralities compared to the United States and research related to big data has lower centralities compared to United Kingdom. Therefore, various researches that intensively apply artificial intelligence technology to these fields are needed.

• Journal of Fashion Business
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• v.16 no.6
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• pp.144-159
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• 2012

This study was to examine the effect of standards of selecting jeans and appearance management behavior on leisure lifestyle. Questionnaires were administered to 253 college students living in Deagu and Kyoungbuk. Data were analyzed by using frequency, factor analysis, regression analysis, t-test, and ${\chi}^2$-test. The findings are as follows. Factor structure of each concept appeared to be brand-valued, functionality valued and design-valued for standards of selecting jeans, diet management, exercise management, weight management and appearance satisfaction. Leisure lifestyle consisted of sports activity-type, sociality-type and self-management-type while value lifestyle consisted of active sociality-oriented, family-oriented and economic feasibility-oriented. There was a significant difference in brand-valued and design-valued of standards of selecting jeans and in frequency of wearing jeans male students showed higher than female students. The result of this study showed brand-valued, diet management, exercise management, weight management, and appearance satisfaction had significant effect on sports activity-type and design-valued and weight management had significant effect on sociality-type. Brand-valued affected self-management-type significantly and brand-valued, design-valued, diet management and appearance satisfaction had a significant effect on active sociality-oriented and brand-valued and diet management affected family-oriented.

• Journal of Families and Better Life
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• v.9 no.1 s.17
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• pp.81-94
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• 1991

The Purpose of this study is to determine how Korean and United Sates families manage resourcese. Further, socioeconomic and social psychological determinants of frequency of family resoures management will be investigated for each country. Comparision of results well be made to find similarities and differences between Korea and the U.S. Most studies of family resource management have used urban samples, so this study adds to understanding of another segment of the populations. Family resource management variables, as dependent variables, were measured by asking respondents how often they used a variety of wasys to handle finances and time. Independent variables were : (a) total household income, (b) respondents education, (c) respondents ages, (d) householder size, (e) family adaptability, (f) family cohesion, and (g) interpersonal communications. Data for the Korean sample were collected in rural areas of South Korea during summer 1989, U.S. data were collected in two counties of Illinois. The data used in this study include 473 Korean samples and 301 U.S. families. In both samples, the respondent was the financial manager, the person who usually handled the finances and paid the bills. The data were analyzed by frequencys, t-test, and multiple regression analysis methods. As a results, U.S. respondents tended to engage in family resource management more frequently than Korean respondents. This could be attributed to a longer history of consumer education and financial management education taught in the public schools and through the Cooperative Extension Service in the U.S. Social-psycological variables were significant predictors of frequency of family financial management in both samples. the differences in both samples are that, in Korea, frequency of family financial management increased as household size and educational years increased, however, in the United States, the relationships of these variables were not significant. Some similarities and differences were found in Korea and the U.S. families, and this results represents that interpersonal communications are important determinants, even in different cultures. One hadn, the difference of socio-cultural factors result as the difference of some statisical differences. Findings from this study have important implications for research and education, and can be applicated to study of family resource management in other rural areas.

• Journal of The Korean Society of Agricultural Engineers
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• v.53 no.5
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• pp.43-51
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• 2011

Irrigation facilities are spread over demand area in a low density and exposed in the field requiring efficient operation and maintenance. Thus, it could be more efficient to manage an irrigation system when it is with wireless sensor network (WSN) using RFID (Radio Frequency Identification) application. A WSN, a kind of ubiquitous sensor network composed of wireless network, RFID and database management system was developed for agricultural water management in terms of operational status and maintenance requirements. Identification code for RFID tag was designed and an application for RFID reader was developed for field data collection, and a database management system was constructed for managing irrigation facility attributes. The system was installed in I-dong irrigation districts in Gyounggi-province, Korea and the operated results showed the applicability of the WSN for agricultural water management.

• Journal of the Korean Society of Costume
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• v.53 no.3
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• pp.165-179
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• 2003

The purpose of this study was to investigate the Influence of self-perceived physical attractiveness on self-esteem and appearance management behavior cf adult women. The data for this study were collected using questionnaire from 511 adult women living in Kwangju, Korea. The data were analysed using frequency, variance analysis, Duncan's multiple range test, and cross-taps. The results were as follows 1. The focuses of respondents' appearance management behaviors were largely centered on facial and skin texture improvement and hair styling. The frequency of all the Plastic surgeries was not so high, but intention of them was much higher than the practice. 2. The self-perceived physical attractiveness of the respondents influenced significantly on their self-esteem. 3. The self-perceived physical attractiveness of the respondents influenced significantly on their several appearance management behaviors excluding plastic surgeries. 4. The self-esteem of respondents influenced significantly on their several appearance management behaviors excluding plastic surgeries.

• IE interfaces
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• v.25 no.2
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• pp.229-240
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• 2012

Conventional research on customer relationship management(CRM) in general has focused on the effects of individual customer's satisfaction, retention and profit management. However, corporate customers are more profitable than individual customers because of high volume and frequent transactions between companies. In this article, a prototype for a corporate customer relationship management is developed in the postal service. First, the frequency and amount of customers' usage were examined, and thereby the corporate customer rating scheme was established to provide customized service. Second, five different types of usage patterns were determined using clustering analysis. In addition, we presented the rationales behind the five types of patterns. Third, RFM(recency, frequency, monetary) analysis was performed, and then action plans were developed to increase sales. Finally, the prototype software was developed to automatically perform the above analysis using MS Excel program.