• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3685-3707
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• 2021

In recent years, facial attribute editing has been successfully used to effectively change face images of various attributes based on generative adversarial networks and encoder-decoder models. However, existing models have a limitation in that they may change an unintended part in the process of changing an attribute or may generate an unnatural result. In this paper, we propose a model that improves the learning of the attention mask by adding a spatial attention mechanism based on the unified selective transfer network (referred to as STGAN) using semi-supervised learning. The proposed model can edit multiple attributes while preserving details independent of the attributes being edited. This study makes two main contributions to the literature. First, we propose an encoder-decoder model structure that learns and edits multiple facial attributes and suppresses distortion using an attention mask. Second, we define guide masks and propose a method and an objective function that use the guide masks for multiple facial attribute editing through semi-supervised learning. Through qualitative and quantitative evaluations of the experimental results, the proposed method was proven to yield improved results that preserve the image details by suppressing unintended changes than existing methods.

• Journal of the Korean Data and Information Science Society
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• 제16권4호
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• pp.759-768
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• 2005

K-means clustering has been widely used in many applications, such that pattern analysis, data analysis, market research and so on. It can identify dense and sparse regions among data attributes or object attributes. But k-means algorithm requires many hours to get k clusters, because it is more primitive and explorative. In this paper we propose a new method of k-means clustering using the grid-based representative value(arithmetic and trimmed mean) for sample. It is more fast than any traditional clustering method and maintains its accuracy.

• Asia pacific journal of information systems
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• 제12권4호
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• pp.237-253
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• 2002

E-commerce is now widely used as the new business opportunity for most companies in Korea. The purpose of this study is first to find the attributes of the logistics service quality in e-commerce environment. We, then, try to find the relationships among service quality, customer satisfaction and repurchase intentions. The results of empirical study show that five attributes(responsiveness, empathy, reliability, accuracy and tangible) are identified as key factors of service quality. Customer satisfaction has also significant effect on repurchase intentions.

• 가정과삶의질연구
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• 제14권3호
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• pp.91-108
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• 1996

The major purpose of this study was to find the influencing factors in explaining search patterns of product attributes in formation and to find if significant differences exist in search outcomes by search patterns. The data for this study were collected in a survey and the final sample consisted of 327 respondents purchased refrigerator 340 purchased bed. The important findings of this study are as follows: First the variables related to search cost-benefit play an important role in identifying search patterns for each of product attributers. The findings of this study provide some implications regarding consumer education programs and consumer information providing policies.

• 한국콘텐츠학회논문지
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• 제9권5호
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• pp.230-240
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• 2009

본 연구는 정보처리과정과 선택에 대한 주류 마케팅 패러다임에 대한 대안으로써 진화론적 관점의 인지과학에 기초한 소비자 체험이론을 제안하고 있다. 소비자 체험이론은 체험적 모듈, 일차단계체험 및 이차 단계체험, 그리고 체험모듈의 위계구조라는 3개의 이론적 구조로 구성되어 있다. 본 이론에 근거하여 본 연구는 소비자 제품 평가에 대한 체험적 속성과 기능적 속성들의 영향을 조사하고 있다. 주요 연구 결과는 다음과 같다. (1) 조사대상자들은 지적 자극(예: 기능적 속성)보다 감각적이고 감정적인 자극(예: 체험적 속성)에 대해 보다 빠르게 반응하였다. (2) 체험모듈 유형(기능적 vs. 체험적) $\times$ 템포(정상 vs. 빠름) $\times$ 제품지식(초보자 vs. 전문가)의 상호작용이 제품평가에 대해 발생하고 있다.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.723-730
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• 2003

In general, well log and core data have been utilized for reservoir characterization. These well data can provide valuable information on reservoir properties with high vertical resolution at well locations. While the seismic surveys cover large areas of field but give only indirect features about reservoir properties. Therefore it is possible to estimate the reservoir properties guided by seismic data on entire area if a relationship of seismic data and well data can be defined. Seismic attributes calculated from seismic surveys contain the particular reservoir features, so that they should be extracted and used properly according to the purpose of study. The method to select the suitable seismic attributes among enormous ones is needed. The stepwise regression and fuzzy curve analysis based on fuzzy logics are used for selecting the best attributes. The relationship can be utilized to estimate reservoir properties derived from seismic attributes. This methodology is applied to a synthetic seismogram and a sonic log acquired from velocity model. Seismic attributes calculated from the seismic data are reflection strength, instantaneous phase, instantaneous frequency and pseudo sonic logging data as well as seismic trace. The fuzzy curve analysis is used for choosing the best seismic attributes compared to sonic log as well data, so that seismic trace, reflection strength, instantaneous frequency, and pseudo sonic logging data are selected. The relationship between the seismic attribute and well data is found out by the statistical regression method and estimates the reliable well data at a specific field location derived from only seismic attributes. For a future work in this study, the methodology should be checked an applicability of the real fields with more complex and various reservoir features.

• 대한영양사협회학술지
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• 제14권3호
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• pp.302-318
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• 2008

This study had the following four objectives: a) to measure the quality attributes of school foodservice based on responses of students, parents, and faculty members, b) to compare the quality attributes by city and province, c) to analyze the overall satisfaction of the respondents, and d) to identify the effects of the quality attributes on overall satisfaction by city and province. Questionnaires were distributed to 5,560 students, 1,920 parents, and 1,920 faculty members, and were collected using on/off-line mail (collection rate: 100%). The data were analyzed using SPSS for descriptive analysis, one-way ANOVA, and multiple linear regression analysis. From the quality attributes analysis, 'providing information on foodservice' was perceived as being performed well by the students (78.8), parents (76.0), and faculty (87.7). However, 'pleasant foodservice environment' was given low scores by the students (62.4), and 'entertains suggestions offered to foodservice' was perceived as low by 66.1% of the parents and 74.9% of the faculty. Upon comparing the quality attributes by city and province, the majority of scores by students and parents in Busan were significantly higher than those of students and parents in others geographical areas. The overall satisfaction levels (scores) were as follows: 66.4 for students, 70.0 for parents and, 76.8 for faculty. Finally, in the regression results, which showed the effects of the quality attributes on overall satisfaction by city and province, improvements of 'food taste', 'kindness offered by employees', and 'menu variety' would increase satisfaction in most cities and provinces. However, other identified attributes were significantly different among the 16 cities and provinces that were examined. Therefore, these regions will need to make different efforts to improve customer satisfaction for school foodservice.

• Journal of Korea Trade
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• 제25권2호
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• pp.196-219
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• 2021

Purpose - We attempted to empirically verify the effects of managerial attributes on cost stickiness in exporters. Exporters are often affected not only by external factors such as exchange rate but also by internal factors such as managerial attributes regarding their business activities. Because cost stickiness is the product of a manager's decision-making, it has been considered that managerial attributes have a great influence on the behavior. Therefore, our study was intended to find out whether cost stickiness shows differentiated aspects depending on managerial attributes in exporters. Design/methodology - We considered two managerial attributes: CEO power and managerial overconfidence. First, CEO power was measured as CEO pay slice. In addition, managerial overconfidence was measured based on three methodologies presented by previous studies. To measure cost stickiness, we used multiple methodologies presented by prior research. Findings - The results of our empirical analysis are as follows. First, in export firms, the greater CEO power is, the greater cost stickiness is. This result suggested that export managers with great influence little respond to temporary sales decrease promptly, little reduce related production costs flexibly in preparation for future sales recovery, but leave room to endure costs for idle resources. Second, the greater managerial overconfidence is, the greater cost stickiness is. This result indicated that export managers with great overconfidence on their decision-making often view the prospect for sales recovery positively; therefore, they little respond to temporary sales decrease immediately, little reduce related production costs flexibly for future sales recovery, but leave room to endure costs for idle resources. Third, export managers with great influence in their businesses and great overconfidence in their decision-making tend to show relatively great cost stickiness. The results proposed that the combination of the two factors functions to make cost stickiness greater. Originality/value - Our study is differentiated from extant studies in that we provided empirical evidence of the effects of managerial attributes on their business activities in exporters. Specifically, we verified the effects of managerial attributes on cost stickiness in Korean exporters. The results of our study are expected to contribute to providing useful information for exporters and start-ups.

• 디자인융복합연구
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• 제15권2호
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• pp.333-345
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• 2016

최근 정보통신 기술 및 로봇 기술이 기존 제품에 접목된 지능형제품들이 개발되고 있다. 사용자에게 보다 수용 가능한 지능형제품을 개발하기 위해, 다양한 인터랙션 방식 또는 지능화 부분을 고려한 지능형제품디자인방법들이 소개되고 있다. 그러나 지능형제품은 모체제품이라고 불리는 기존 제품을 기반으로 하므로, 제품 속성 관점에서의 효과적인 지능형제품디자인방법에 대한 탐색이 필요하다. 이 연구의 목적은 제품 속성에 따른 지능형제품 유형이 소비자 수용도에 미치는 영향을 알아보는 것이다. 이를 위해 유아용 실내화를 사례로 하여, 쾌락적 지능형제품과 실용적 지능형제품을 비교하는 실험을 실시하였다. 실험결과, 제품선호도에 대해 피험자는 실용적 지능형 유아용 실내화를 쾌락적 지능형 유아용 실내화보다 긍정적으로 평가하고, 보다 높은 구매의사와 지불의사 금액을 나타냈다. 이는 유아용 실내화가 유아용 제품이라는 점에서 쾌락적 가치가 요구될 수도 있으나, 층간 소음이라는 사회적 문제와 관련된 제품이므로 실용적 가치가 보다 중요한 가치로 인식된 것으로 해석된다.

• 디지털산업정보학회논문지
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• 제10권2호
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• pp.83-89
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• 2014

An increasing number of children are now using the Internet. They are starting at a younger age, using a variety of devices and spending more time online. It becomes an important problem to protect the children in online environment. The Internet can be a major channel for their education, creativity and self-expression. However, it also carries a spectrum of risks to which children are more vulnerable than adults. In order to solve these problems, we suggested a binding model of user attributes for enhanced user authentication. We also studied the requirements and prerequisites of a binding model of user attributes. In this paper we described the architecture of binding model of user attributes and showed the effectiveness of the suggested model using simulation. This model can be utilized to enhanced user authentication and service authorization.