• Journal of Fashion Business
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• v.9 no.5
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• pp.77-95
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• 2005

This study was for applying web based street fashion design analysis system(web-SFAS), which was designed in preceding research and realized, to a practical use. Web-SFAS was developed to analyze data fast, accurately, conveniently, and to provide them to related fields by using Information Technology (IT) in fashion design industry. By inputting, sorting and analyzing actual image data into this system, it purposes to check if it needs to be corrected and to verify its operation and application. This study was collected in 2004 s/s 177 points image data and survey results input to the system This system analyzed the results as follow ; First, in all four areas of S/S, many people wear soft materials and plain T-shirts on top and tough material and plain jeans on the bottom. Second, In the case of dresses, in many areas people wear tough fabric plain A-line, one-piece dresses but in Hapsung-dong, many people wear geometrical figures. Third, fashion image, most people wear a sportive casual style with semi casual in a close second. Therefore, web-SFAS can be useful system analyzing for the trendy apparel type, design, material, color, image and variable in demography through street fashion image data.

• International Area Studies Review
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• v.14 no.3
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• pp.178-204
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• 2010

This study analyzes the effects Korea's grant aid to 53 African countries, focusing on its impacts on improving HDI (Human Development Index) of each recipient country, through panel data analysis. According to the OLS panel analysis, Korea's grant aid on information and communication (IC) sector showed positive and significant correlation with HDI, but aid on administrative system and environment showed negative correlation with HDI. Also, according to the fixed effect panel analysis, aid on IC sector showed positive correlation with HDI, but aid on administrative system showed negative correlation with HDI. In particular, effects of aid was different across the region. In North African region, aid on health improved HDI. However, in Sub-Saharan African region, aid on IC was more effective in improving HDI. This results imply that grand aid on Africa needs to be coordinated strategically across regions and sectors. This paper is meaningful in providing ways that can be mutually beneficial both to donor and recipient countries of grant aid.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.41-62
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• 2018

Despite the rapid growth of the mobile shopping market, major market participants are continuing to suffer operating losses due to severe competition. To solve this problem, the mobile shopping market requires research to improve customer satisfaction and customer loyalty rather than excessive competition. However, the existing studies have limits to reflect the direct needs of customers because they extract the factors on the basis of the Technology Acceptance Model and the literature study. In this study, to reflect the direct requirements of users of mobile shopping Apps, we derived concretely and various factors influencing customer satisfaction through a topic analysis using user reviews. And then we assessed the importance of derived factors to customer satisfaction and analyzed the effects of customer satisfaction on customer complaints and customer loyalty on a structural equation model based on the American customer satisfaction index. We expect that our framework linking a topic analysis and a structural equation model is to be applicable to studies on the customer satisfaction of other mobile services.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.148-154
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• 2019

The purpose of this study is to review systematically the literatures on the research of the elderly speech signal processing based on the domestic gender innovation and to introduce the utility and innovation of the gender analysis methods. From 2000 to present, among the 37 research papers published in the Korean Journal, 25 papers were selected according to the inclusion and exclusion criteria. And gender analysis methods were applied to gender research subject and design. Research results show diversity of research field and high gender recognition of R & D team are needed in research and development of engineering of gender innovation perspective. In addition, government-level regulation and research funding should be systematically applied to gender innovation research processes in the elderly voice signal processing and various gender innovation projects. In the future gender innovation in the elderly speech signal processing can contribute to the creation of a new market by developing a voice recognition system and service that reflects the needs of both men and women.

• Korean Journal of Metals and Materials
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• v.48 no.3
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• pp.203-209
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• 2010

An application of the instrumented indentation technique has been expanded from the measurements of hardness and elastic modulus to the analysis of residual stress. A slope of the indentation loading curve increases (or decreases) according to compressive (or tensile) residual stress. A theoretical equation has been established for quantifying residual stress from the slope change. However, a precise observation of the remnant indents is indispensible because the theoretical approach needs actual contact information. In addition, the conventional hardness test is still used for predicting the residual stress distribution of welded joints. Thus, we observed the three-dimensional morphologies of the remnant indents formed on artificial stress states and analyzed stress effects on morphological recovery of the indents. First, a depth recovery ratio, which has been regarded as a sensitive stress indicator, did not show a clear dependency with the residual stress. Thus an analysis on volumetric recovery was tried in this study and yielded a inverse proportional behavior with the residual stress. In addition, an elastic to plastic volume recovery ratio showed more significant correlation with the residual stress.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.87-96
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• 2022

This paper is an empirical analysis as a reference model that can predict up to the maximum number of elementary school student care needs in local governments across the country. This study analyzed and predicted the characteristics of the region based on machine learning to predict the demand for elementary care in a new apartment complex. For this purpose, a total of 292 variables were used, including data related to apartment structure, such as number of parking spaces per household, and building-to-land ratio, environmental data around apartments such as distance to elementary schools, and population data of administrative districts. The use of various variables is of great significance, and it is meaningful in complex analysis. It is also an empirical case study that increased the reliability of the model through comparison with the actual value of the basic local government.

• Journal of Hydrogen and New Energy
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• v.34 no.2
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• pp.113-121
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• 2023

Recently, low hydrogen carbon production technology is drawing interest due to lower production costs. Although the pace of research in this field has been accelerating, there is no well-established criteria for evaluation. The most of current evaluation methods needs information related to technology. However the technology is not enough to provide effective evaluation criteria because the technology is not fully developed. In this study, we propose an integrated Delphi-analytic hierarchy process (AHP) method and low carbon hydrogen production technology evaluation model. Experts opinion is used to provide evaluation criteria for the technology. In this study, integrated Delphi-AHP method are utilized for determining factors and calculating their numerical importance based on experts opinion. Then, sensitivity analysis is performed to verify the robustness of the analysis and scenarios of potential changes. As many as 11 factors are identified by Delphi method. Then, numerical importance of the factors are calculated by AHP. Sensitivity analysis is performed. It shows that intellectual property right (IPR) is always more important than other factors. This study proposes the numerical standard for the low carbon hydrogen production technology evaluation. The proposed model can be used for technology evaluation or commercialization.

• Journal of Information Technology Services
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• v.22 no.3
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• pp.141-165
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• 2023

With the advent of the fourth industrial revolution, technologies such as the Internet of Things, artificial intelligence and cloud computing are developing rapidly, and smart homes enabled by these technologies are rapidly gaining popularity. To gain a competitive advantage in the global market, companies must understand the differences in consumer needs in different countries and cultures and develop corresponding business strategies. Therefore, this study conducts a comparative analysis of consumer reviews of smart homes in South Korea and China. This study collected online reviews of SmartThings, ThinQ, Msmarthom, and MiHome, the four most commonly used smart home apps in Korea and China. The collected review data is divided into satisfied reviews and dissatisfied reviews according to the ratings, and topics are extracted for each review dataset using LDA topic modeling. Next, the extracted topics are classified according to five evaluation factors of Perceived Usefulness, Reachability, Interoperability,Trustness, and Product Brand proposed by previous studies. Then, by comparing the importance of each evaluation factor in the two datasets of satisfaction and dissatisfaction, we find out the factors that affect consumer satisfaction and dissatisfaction, and compare the differences between users in Korea and China. We found Trustness and Reachability are very important factors. Finally, through language network analysis, the relationship between dissatisfied factors is analyzed from a more microscopic level, and improvement plans are proposed to the companies according to the analysis results.

• Asia Marketing Journal
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• v.15 no.3
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• pp.1-14
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• 2013

Our research brings managerial insights for developing new digital convergence of devices and services. To explain the phenomenon of device and service convergence, we combine two different approaches from separate research fields: a perceptual mapping technique generally used for segmentation in marketing and associative network analysis mobilized to understanding network structure of core and peripheral as well as the information mediating role of nodes in network science. By combining these two approaches, we provide an in-depth analysis of the associations among devices and services by assessing the centrality of device and service nodes in an associative network. This is done by examining the connections between these services and devices as well as investigating the role of mediation in the combined device-service associative network. Our results based on bi-partite network analysis of survey responses from 250 Internet Protocol (IP) television viewers show which device and which service will play the major role in future device and service convergence as well as which characteristics and functionalities have to be incorporated into future convergence. Among the devices, the mobile handset with the betweenness centrality of 0.26 appears to be the device that would lead future device convergence. Among the services, wireless broadband with the betweenness centrality of 0.276 appears to be the service on which future service convergence needs to be developed. This result is quite unexpected, since wireless broadband has a lower penetration rate than other services, such as fixed broadband and cable TV. In addition, we indicate the possibility of converging devices, such as personal digital assistant (PDA) and mobile handset, and services, such as IPTV and mobile Internet, into wireless broadband services in the future.

• Journal of Korean Home Economics Education Association
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• v.31 no.2
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• pp.51-65
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• 2019

The purpose of this study was to collect information for the improvement of sewing practice classes and to draw implications by carrying out an investigation into the perception and needs of 185 students in the first grade of high school for sewing practice classes. The results of the study are as follows. First, most of the students perceived that the instructional objectives of the practicum as the utilization in everyday life. The students' perception of the class was moderately positive. In terms of the subfactors, the participation level appeared to be the highest while the comprehension level was the lowest. Also, the utilization level showed the greatest difference between male and female students. The results suggest that female students were more positive in their perception of the class than the male students because of the significant difference in the subfactors of class perception, excluding utility and teaching learning method satisfaction. Second, it appeared that the students were likely to use these skills in everyday life as a result of the sewing practice classes. In terms of the practice content, students preferred working individually in terms of organizing their own projects, making their own selections, and freely deciding the size of their products. This study demonstrated that the students preferred teacher-centered classes when acquiring skills and knowledge and student-centered classes when brainstorming and performing the teacher's role. In terms of instructional management, the students preferred four to six 50-minute long lessons per semester and no group work involved.