• 산경연구논집
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• 제9권2호
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• pp.57-63
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• 2018

Purpose - This research examined the effect of hedonic and utilitarian eating-out motivations on the evaluation of restaurant selection attributes in a fashion premium outlet. Additionally, the influence of experimental and functional attributes on customers' preference for hedonic eating-out motives and utilitarian eating-out motives, and variation of moderating effects through the gender was examined. Research design, data, and methodology - A survey was conducted to verify the established research hypothesis. The questionnaire items for the research were modified to fit the situation of the present study. In order to elaborate the questionnaire, the literature of the previous researchers was reviewed and supplemented. The survey conducted 207 online questionnaires for consumers who have visited domestic fashion premium outlets from July 4, 2017 to July 27, 2017. A total of 207 questionnaires were collected, and a total of 206 questionnaires were used for the empirical analysis after excluding one inappropriate response. In order to verify the reliability and validity of the measured variables, exploratory factor analysis and reliability analysis were performed using SPSS 20.0. Next, the structural equation model (SEM) statistical method was used to test the hypotheses of the study. Results - Hedonic motivation had more influence on experimental attribute importance than the functional attribute importance of the restaurant. However, this result was different depending on the gender. The effects of hedonic motives on empirical attributes were more influenced by female groups, and when influencing functional attributes, male groups were more influenced. However, it was statistically significant (p <0.05) in the female group only when the hedonic eating out motives influenced empirical attributes. Conclusions - This study analyzed the effect of eating-out motivation on the restaurant preference attributes and suggested practical implications. First, customers with hedonic eating-out motivations were evaluating experiential attributes to be more important than functional attributes. Second, for customers who are motivated to use practical eating-out habits, companies should provide services that meet practical and economic needs. In particular, female customers visiting restaurants need differentiated marketing strategies that make them feel new experiences rather than practical ones. In addition, it is necessary to study more complex and integrated studies which will influence restaurant selection attributes of premium outlets customers by adding various eating out motives and selection attributes.

• 한국병원경영학회지
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• 제27권3호
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• pp.1-14
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• 2022

Purposes: This purpose of this study was to check how much the online word of mouth influences on customer's hospital selection according to Kano's model. Methodology: Kano classified the attributes that affect customer's satisfaction into attractive, one-dimensional, indifferent, must-be, and reverse attributes. Among them, attractive and one-dimensional attributes make up the largest portion in hospital selection. Based on this, the influence of positive or negative online reviews on the selection of hospitals was investigated. Differentiated service was selected as the attractive attributes, and a kind, sufficient explanation was selected as the one-dimensional attributes. Then a questionnaire was conducted how much the positive or negative online reviews influence on hospital selection, respectively. It was conducted from August 7 to September 7, 2021 for medical consumers in their 20s and older who have used medical services for the past 3 years, and the final 142 questionnaires were analyzed. All data was analyzed by chi-square and two-way ANOVA using SPSS ver 25.0. Findings: The results showed that, in one-dimensional attributes, the difference between positive and negative reviews was not statistically significant, but in attractive attributes, positive and negative reviews showed a statistically significant difference. It suggests that positive reviews on attractive attributes had a greater influence on hospital selection. In terms of hospital selection, when the experimental participants were exposed to the positive reviews, the hospital selection ratio did not differ by Kano's attributes, but to the negative reviews it differed. The hospital selection ratio, even after they were exposed to negative reviews, was higher in the attractive attributes than in the one-dimensional attributes. Practical Implication: This study confirmed that hospital selection is influenced differently depending on the Kano's attributes and the direction of the reviews, and suggests that marketers should respond differently to each Kano's attributes when they deal with online reviews of hospitals.

• 디자인학연구
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• 제14권4호
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• pp.99-108
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• 2001

부적에는 고대의 다양한 기호나 그림, 원형문자가 사용되어 왔으며 현재도 쓰여지고 있다. 이는 체계화된 문자와 조합되어 다양한 표현으로 메시지를 전달하고 있으며, 현재도 전통적인 방법이 고수되는 반면 지속적인 변화를 통해 인간의 감정과 욕망을 표현하고 있다. 부적은 일반적 견해로 생각하는 실험 타이포그래피 만큼이나 논리적이며 실험적인 성격이 강하다. 또한 문자가 가지고 있는 의미로 다른 기호나, 상형문자, 그림 및 유사단어로 표현하고 있다. 각각의 요소들은 상징적 심볼 및 연상성, 글의 해체성 등 다양성을 갖추고 있었다. 이러한 타이포그래피의 실험적 성격을 더욱 실험적으로 표현가능성을 보여 주고 있는 부적에서 배워야할 해체와 구성작업을 회화적 타이포그래피 관점으로도 눈여겨볼 점이 많았음이 관찰되었다. 본 연구는 부적이 가지고 있는 조형적 특징을 실험 타이포그래피와 비교, 분류, 분석하여 부적이 가지고 있는 조형적 특징이 시각적 언어와 타이포그래피 표현으로 응용될 수 있는 가능성을 살펴보고자 한다. 또한, 한국적 조형 문화로서 부적이 형태적 물성이 가지는 시각 이미지에 대한 재인식과 그 가능성에 대한 모색은 타이포그래피의 서구적인 고정된 틀을 벗어나 우리의 문화와 정서에 맞는 타이포그래피의 표현 영역을 화장하는 것이 앞으로의 과제라 할 수 있다.

• 유통과학연구
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• 제16권1호
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• pp.37-46
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• 2018

Purpose - This study is to investigate the effects of consumption motives of restaurant customers on the perception of the importance of restaurant attributes, and to determine the influence of the consumption motives on the empirical and functional attributes between Vietnam and Korea. Research design, data, and methodology - Questionnaire items from previous studies were revised to fit the research purpose of the present study. From August 1 to August 25, 2017, questionnaires were simultaneously administered in Korea and Vietnam using both on-line and off-line survey methods (including SNS and e-mail). With 381 surveyed questionnaires in Vietnam(219) and Korea(162), this study was conducted by using SPSS 22.0 to verify the reliability and validity of the measured variables. Structural equation model (SEM) was employed as a statistical method for the hypotheses test of this study. Results - The results showed that hedonic eating-out motive has more influence on the importance of empirical attribute than that of functional attribute in restaurant. In addition, utilitarian eating-out motive has more influence on functional attributes than empirical attributes. However, these relationships showed the difference between countries in Vietnam and Korea. As for in Korea, consumers' hedonic and utilitarian motives of eating-out were more influential on experimental and functional attributes. Conclusions - This study analyzed the influence on the importance of the eating-out motives of restaurant attributes and how this differed between Vietnamese and Korean.

• Communications for Statistical Applications and Methods
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• 제30권6호
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• pp.589-603
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• 2023

Deep generative models target to infer the underlying true data distribution, and it leads to a huge success in generating fake-but-realistic data. Regarding such a perspective, the data attributes can be a crucial factor in the data generation process since non-existent counterfactual samples can be generated by altering certain factors. For example, we can generate new portrait images by flipping the gender attribute or altering the hair color attributes. This paper proposes counterfactual disentangled variational autoencoder generative adversarial networks (CDVAE-GAN), specialized for data attribute level counterfactual data generation. The structure of the proposed CDVAE-GAN consists of variational autoencoders and generative adversarial networks. Specifically, we adopt a Gaussian variational autoencoder to extract low-dimensional disentangled data features and auxiliary Bernoulli latent variables to model the data attributes separately. Also, we utilize a generative adversarial network to generate data with high fidelity. By enjoying the benefits of the variational autoencoder with the additional Bernoulli latent variables and the generative adversarial network, the proposed CDVAE-GAN can control the data attributes, and it enables producing counterfactual data. Our experimental result on the CelebA dataset qualitatively shows that the generated samples from CDVAE-GAN are realistic. Also, the quantitative results support that the proposed model can produce data that can deceive other machine learning classifiers with the altered data attributes.

• 디자인학연구
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• 제19권4호
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• pp.187-204
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• 2006

경쟁이 치열한 온라인 콘텐츠 시장에서 이브랜드 개성(eBrand Personality)은 효과적인 차별화 전략으로 평가된다. 하지만 이러한 이브랜드 개성의 중요성에도 불구하고, 시각 측면에서 이브랜드 개성의 구현 방법을 구체적인 디자인 언어로 제시하는 연구는 드물다. 따라서 본 연구에서는 이브랜드를 형성하는 가장 영향력 있는 매체인 웹페이지를 대상으로 사용자가 느끼는 이브랜드 개성 차원을 시각적 측면에서 효과적으로 구현하는 시각조형특성(visual attributes)을 과학적인 방법을 통해 제시하고자 한다. 사전 연구를 통해 도출된 이브랜드 개성 차원 모델을 바탕으로 본 연구에서는 우선 탐색적 연구 방법을 통해 각각의 이브랜드 개성 차원과 관련 있는 시각조형특성을 분석하였다. 두 번째로 앞서 도출된 탐색적 연구 결과의 신뢰성을 검증하기 위하여 자극을 제작하여 설문 조사를 실시하는 확증적 연구를 진행하였다. 사전 연구를 통해 도출된 네 가지 차원, 'Pl.선정적이다', 'P2.분석적이다', 'P3.호의적이다', 'P4.세련되다'을 바탕으로 탐색적 연구에서는 '단순성'과 '응집력'은 'P1.선정적이다' 개성 차원과 관련이 있으며, '대비', '규칙성,' '조밀성'은 'P2.분석적이다' 개성 차원과 관련이 있는 것으로 나타났다. 또한 '대비', '규칙성', '응집력', '조밀성'은 'P3.호의적이다' 개성 차원과, '균형', '규칙성'은 'P4.세련되다' 차원과 관련이 있는 것으로 나타났다. 다음으로 확증적 연구를 통해 앞서 제시된 분석 결과를 검증한 결과, 'Pl.선정적이다', 'P2.분석적이다', 'P2.호의적이다' 차원에 대한 이브랜드 개성 차원과 시각조형특성 간의 인과관계가 검증되었다.

• Journal of Computing Science and Engineering
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• 제8권2호
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• pp.94-106
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• 2014

Schema matching is widely used in many applications, such as data integration, ontology merging, data warehouse and dataspaces. In this paper, we propose a novel matching technique that is based on the order of attributes appearing in the schema structure of query results. The appearance order embodies the extent of the importance of an attribute for the user examining the query results. The core idea of our approach is to collect statistics about the appearance order of attributes from the query logs, to find correspondences between attributes in the schemas to be matched. As a first step, we employ a matrix to structure the statistics around the appearance order of attributes. Then, two scoring functions are considered to measure the similarity of the collected statistics. Finally, a traditional algorithm is employed to find the mapping with the highest score. Furthermore, our approach can be seen as a complementary member to the family of the existing matchers, and can also be combined with them to obtain more accurate results. We validate our approach with an experimental study, the results of which demonstrate that our approach is effective, and has good performance.

• 정보처리학회논문지D
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• 제14D권7호
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• pp.727-732
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• 2007

시계열에 대한 색인 및 검색 연구는 하나의 속성으로 구성된 시계열에 대하여 주로 수행되어 왔다. 그러나 음악, 비디오 등의 멀티미디어 데이타베이스는 다중속성 시계열 데이타베이스에서 유사 검색을 다룰 수 있어야 한다. 기존의 다중속성 시계열 데이타베이스에 대한 연구는 두 다중속성 시퀀스간의 유사도로 속성 간의 거리의 누적을 사용하고 있기에, 개별적인 속성 시퀀스에 대한 정보를 상실하게 된다. 본 연구에서는 이러한 문제를 해결하기 위해 속성 시퀀스 측면에서 다중속성 시계열 데이타베이스의 유사검색 기법을 제안한다. 제안된 기법은 검색 공간을 효율적으로 줄일 수 있으며, 착오 누락이 없음을 보장한다. 또한 실험을 통해 제안된 기법의 성능 향상을 확인하였다.

• 한국측량학회지
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• 제37권2호
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• pp.81-89
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• 2019

As the need for the integration of administrative datasets and address information increases, there is also growing interest in POI (Point of Interest) data as a source of location information across applications and platforms. The purpose of this study is to develop an alias database management method for efficient POI searching, based on POI data representing position. First, we determine the attributes of POI alias data as it is used variously by individual users. When classifying aliases of POIs, we excluded POIs in which the typo and names are all in English alphabet. The attributes of POI aliases are classified into four categories, and each category is reclassified into three classes according to the strength of the attributes. We then define the quality of POI aliases classified in this study through experiments. Based on the four attributes of POI defined in this study, we developed a method of managing one POI alias through and integrated method composed of word embedding and a similarity measurement. Experimental results of the proposed POI alias management method show that it is possible to utilize the algorithm developed in this study if there are small numbers of aliases in each POI with appropriate POI attributes defined in this study.

• 한국인공지능학회지
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• 제6권2호
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• pp.17-22
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• 2018

According to the World Health Organization, the top 10 causes of death worldwide include heart disease. Heart diseases include coronary disease, which induces acute myocardial infarction. Ticagrelor drugs are being used to treat acute alliances, but it has become difficult to breathe due to the drugs. In a related study, Tobias predicted that uric acid causes acute respiratory distress independently of other factors, including BNP. And in the Ahmad study, serum uric acid numbers were related to the left ventricle depending on the level of uric acid. Experimental data are data used after 155 patients who received coronary intervention took ticagrelor. The research methods were leveraged by gradient decent algorithm and linear regression. In order to avoid overfitting in the experiment, training data and test data were separated into 70 and 30 percent respectively. The experimental results lacked the predictability of other attributes except DT in the correlation coefficient and crystal coefficient. However, all attributes related to dyspnea other than DT are determined to be related to causing relaxation of the heart in the left ventricle. Therefore, the attribute causing dyspnea is determined to be an attribute causing relaxation of the heart of the DT and left ventricle.