• 동아시아식생활학회지
• /
• 제16권5호
• /
• pp.623-633
• /
• 2006

This study surveyed the selection attributes and degree of satisfaction among Japanese restaurant customers by conducting frequency analysis on the data. Among all types of Japanese restaurants customers selected sushi bars the most (48.2%), and they considered taste (73.9%), price (34.8%), and service (22.2%) to be very important. When eating at Japanese restaurants, satisfaction differences among sanitation (p<0.05), price (p<0.05), and unique design (p<0.1) each had a significant difference with F values of 3.313, 3.208, and 2,702, respectively. factor analysis of the effect of selection attributes on Japanese restaurant performance revealed three factors; image, service, and food. Their combined satisfaction was 61.41%, and each of these three factors showed a Cronbach's ${\alpha}$ value of 0.744, 0.739, and 0.623 in the reliability analysis, respectively, thus demonstrating the overall level of reliability. Multiple regression analysis showed that increased overall satisfaction of Japanese food was related to the satisfaction levels of food and service, and not to that of surrounding satisfaction.

• 한국조리학회지
• /
• 제16권4호
• /
• pp.76-93
• /
• 2010

본 연구에서 제시한 커피 전문점의 선택 속성으로 지각된 유형성, 신뢰성, 친절성, 신용성이 영향 관계에 대한 가설 검증 결과, 본 연구의 모델로 적합한 것으로 분석되었다. 또한, 커피 전문점의 선택 속성은 고객 만족에 직접적인 영향을 미치고, 고객 만족 또한 재방문 및 구전 의도에 영향을 미치는 것으로 나타났다. 이 같은 결과는 점포내 산뜻한 이미지를 바탕으로 한 유형성과 신뢰, 종사원의 친절 및 신용이 바탕이 될 때 이용 고객 또한 만족 극대화에 영향을 주고 만족 고객의 재이용과 긍정적인 구전으로 이어짐을 알 수 있다.

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

• 디지털산업정보학회논문지
• /
• 제16권1호
• /
• pp.55-65
• /
• 2020

With the development of display hardware, image interpolation techniques have been used in various fields such as image zooming and medical imaging. Traditional image interpolation methods, such as bi-linear interpolation, bi-cubic interpolation and edge direction-based interpolation, perform interpolation in the spatial domain. Recently, interpolation techniques in the discrete cosine transform or wavelet domain are also proposed. Using these various existing interpolation methods and machine learning, we propose decision tree classification-based image interpolation methods. In other words, this paper is about the method of adaptively applying various existing interpolation methods, not the interpolation method itself. To obtain the decision model, we used Weka's J48 library with the C4.5 decision tree algorithm. The proposed method first constructs attribute set and select classes that means interpolation methods for classification model. And after training, interpolation is performed using different interpolation methods according to attributes characteristics. Simulation results show that the proposed method yields reasonable performance.

• 유통과학연구
• /
• 제16권2호
• /
• pp.67-81
• /
• 2018

Purpose - Recently the importance of green consumption and corporate social responsibility has been increasing, thereby enhancing the importance of green consumption space as well. The retail space, as a representative consumption space, is now consuming more energy by introducing bigger retail space, 24-hour operation, cutting-edge equipment, and manless checkout system. Especially for retailers, who are constantly interacting with consumers, not only the economic consideration but also the consumer experience via retail service and physical retail space is crucial for their success. Therefore, this study intends to understand the main factors of motivating consumer perception about green retail space. In addition, we further investigate the mediating and moderating variables to encourage revisit intention and green retail space image. Research design, data, and methodology - In order to test our hypotheses with two models, we conducted a survey using questionnaires. In model 1, 356 respondents were surveyed to determine whether consumers' green attitudes and behaviors enhance environmentally friendly perception on retail space properties. In model 2, a questionnaire survey was conducted on 69 consumers who have experience in green retail space. Questionnaire surveys were conducted with on-line panels in Korea and analyzed using regression model and Hayes' PROCESS macro. Results - We found that consumers with green attitude put more importance on the attributes of green retail space. Also, the utility of the green retail space was found to be significant in emotional and social benefits. And, the consumers, who perceived the importance of green retail space, show higher revisit intentions. The emotional and social utilities have significant positive effects on revisit intention through green retail space image. Conclusions - This study demonstrates that a green retail space can induce positive consumer utility, thereby increasing green retail space image and revisit intention. Thus, in order to increase the image and revisit, retailers should communicate green messages with consumers, enhance green attributes of retail space, and target green consumers. To do so, we suggest that various marketing efforts such as publicity and education are needed to appeal experiential green products and retail space to consumers.

• 한국지능시스템학회논문지
• /
• 제24권2호
• /
• pp.166-172
• /
• 2014

이미지를 각각의 카테고리로 분류하는 일은 컴퓨터 비전 분야의 중요한 문제 중 하나이다. 그러나 이미지에 존재하는 가변성, 모호성, 스케일 문제 등으로 인해 매우 도전적인 문제라고 할 수 있다. 본 논문에서는 장면 이미지를 구성하는 시멘틱 속성들의 고차원의 상호작용 관계를 고려 가능한 하이퍼그래프 기반의 모델링 기법을 제시하고 이를 장면 이미지 분류에 적용한다. 각 장면 카테고리에 준최적화된 하이퍼그래프를 생성하기 위해 확률 부분공간 기법에 기반을 둔 탐색기법을 제안하고, 이들 부분 공간 내에 속한 시멘틱 속성들의 발현량을 축약하기 위한 우도비 기반의 선형 변환 기법을 제안한다. 제안한 기법의 우수성을 검증하기 위한 실험을 통하여 제시한 기법을 통해 생성된 특징 벡터의 분별력이 기존의 기법들에서 사용된 특징 벡터들의 분별력보다 우수함을 보인다. 또한 제안한 기법을 장면 분류 데이터에 적용한 결과 기존의 기법들과 비교하여 경쟁력 있는 분류 성능을 보인다. 제안 한 기법은 이미지 분류에서 일반적으로 사용 되는 기법인 BoW+SPM 모델과 비교하여 3~4%이상의 성능 향상을 보였다.

• 한국의류산업학회지
• /
• 제16권3호
• /
• pp.396-405
• /
• 2014

This study demonstrates how VM attributes and VM personality influence VM attitude based on regulatory focus and how VM attitude influences revisiting intention. We used 303 copies of the survey form for the analysis. SPSS 19.0 for Windows Package was used to perform frequency analysis, factor analysis, and regression analysis. The results of the study: First, direction and arrangement of VM attributes had a significantly positive (+) influence on VM attitude. Second, fervor and trust of VM personality had a significantly positive (+) influence on VM attitude, while unpleasantness had a negative (-) influence. Third, VM attitude had a significant influence on visiting intention. Fourth, in terms of promotion focus, direction, arrangement, and promotion of VM attributes had a significantly positive (+) influence on VM attitude. In regards to prevention focus, image of VM attributes had a significant influence on VM attitude. In promotion focus, fervor and trust of VM personality had a significantly positive (+) influence on VM attitude, while unpleasantness had a negative (-) influence. In prevention focus, refinement and fervor of VM personality had a statistically significant influence on VM attitude. Only promotion focus showed a significant influence of VM attitude on revisiting intention.

• 복식문화연구
• /
• 제25권4호
• /
• pp.433-447
• /
• 2017

This study reveals the components of college women's shopping orientations and compares the attributes of shoes accordingly. This study attempts to investigate the needs of consumers in the target market of young women by comparing the importance of shoe attributes with their shopping orientations and to provide basic data for efficient marketing strategies which could increase sales. Data was collected using a questionnaire survey. Of a total of 330 questionnaires, 319 were used for statistical analysis. The survey was carried out from July to August 2016. The 17 shopping orientation-related questions and 13 questions about shoe purchase attributes were measured using a five-point Likert Scale. SPSS 23 was used to carry out: descriptives, factor analysis, reliability analysis, cluster analysis, ANOVA, and Duncan's test. Shopping orientations were divided between brand orientation, pleasure orientation, trend orientation and utilitarian orientation. Shoe attributes were categorized into ostentation value, product value, economic value and aesthetic value. College women were divided into the following groups: active shopping, passive shopping, rational shopping and conforming shopping. According to the comparison of the importance of shoe attributes by consumer type among college women, a significant difference by group was found in ostentation value and aesthetic value only. Furthermore, the average scores on the importance of product value and economic value were very high without significant differences between groups. The study results would be available as basic data to help improving the visual image of shoes and product quality for brands targeting young women in the fashion industry.

• 한국산업정보학회:학술대회논문집
• /
• 한국산업정보학회 2007년도 춘계학술대회
• /
• pp.53-57
• /
• 2007

This paper presents the practice of multitexturing in the Internet for enhancing the image quality of 3D contents, where the attributes of objects such as textures are dynamically changed. We explain the empirical results of realizing the X3D nodes related with multitexturing in the recent X3D viewers, and discuss the directions for upgrading X3D viewers that satisfy the user requirements and the advanced graphics accelerators.

• 대한가정학회지
• /
• 제38권10호
• /
• pp.85-95
• /
• 2000

The purpose of this study was to identify brand loyally of women's wear and construct brand positioning maps by using multidimensional scaling(MDS). There were significant differences between brand loyal and indifferent group in ages, income, occupation status and level of education. Significant differences were found between groups in the degree of importance of attributes (design/color, fashion, quality, store image, salesperson's attitude and brand reputation) when evaluating brands. The positioning maps upon the similarity and preference of brand image were composed by use of MDS.