• Journal of the Korean Society of Floral Art and Design
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• no.42
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• pp.117-132
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• 2020

The study aimed at trying to contribute to domestic floral designers by analyzing colors' images of 60 floral designs of British floral designers, Shane Connolly and Paula Pryke, as the basis for color scheme of floral space design. The result of color analysis, Shane Connolly uses colors in the frequency of color order of the GY>Y>RP>YR>P>P>PB and Paula Pryke uses colors in the frequency of color order of the GY>RP>P>YR,Y>G>PB. The result of coordinate analysis of hue, value, chrome, Shane Connolly's works showed high frequency in the YtoGY color, the middle and high of value and the middle and high of chrome. Paula Pryke's works showed high frequency in the GY color and PtoRP color, the wide areas of the 3.8 ~9 stages of value, and the middle and high of chrome. The result of adjective image scale, Shane Connolly's works were found to be in between soft and static adjective zone, and Paula Pryke's works were distributed in between soft and active zone.

• Journal of the Korean housing association
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• v.10 no.2
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• pp.247-257
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• 1999

This study is aimed to propose the evaluation model of forecasting visual quality of apartment buildings, which would be a useful tool to make the architectural concepts corresponding to user needs. This study was carried out through the four-step experiments as follows. The first step is to take the user's visual evaluation construct. To do this, the 22 adjective phrases were extracted, which were applicable to all apartment buildings. The second step is to analyze the user's visual preference, which is measured by the user's psychological quantity on the apartment buildings by S. D.(Semantic Differential) Method. The third step is to analyzethe five psychological-factors obtained from the Factor Analysis. The perceptual images on the 41 experimental subjects were checked up through evaluating and analyzing the factor scores of each subjects for each psychological-factor. The fourth step is to analyze, the similarity of various characters in a building, which is mirrored on the user's psychological quantity and how buildings are grouped by it.

• Journal of the Korean Institute of Rural Architecture
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• v.11 no.1
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• pp.37-45
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• 2009

This study aims for proposing improvement method for streetscape in a small and medium city of Korea. According to this purpose, in chapter 2, by inspecting conservation of street environment and streetscape, deduce the frame for analyzing streetscape in commercial district. In chapter 3, analyzing present condition and problems of selected streets in Pohang City, derive the primary factors to induce desirable streetscape through problems and their reason between the analyzed elements of building form. Analyzed elements are composed of floor elements, wall elements, ceiling elements. The detailed elements are pavement of road, street furniture, height of buildings, color and material of building and outdoor advertisements. In chapter 4, by conducting a questionnaire survey of pedestrians about street images -choosing impressive physical elements and the feeling of the street by the list of adjective of semantic differential scale- and the preference, propose the direction of improvement about streetscape in commercial district.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.8
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• pp.1139-1148
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• 1999

This paper discussed the assessment of hand of denim fabrics finished by enzymatic hydrolysis. The semantic differential scale established using the database collected from university students. Analyzing the subjective rating by common factor analysis with oblimin rotation five factors expressing the hand were induced. Factor one was the surface property related to the surface roughness or softness Factor two was the durability which was related to the compactness and bearing strength Factor three was the sense of weight which was related to the thickness and weight. The moisture related properties and the sense of shape recovery were the forth and fifth factors respectively. the evaluations on the surface property weight and moisture related properties were similar by men and women However the shape recovery and the durability were evaluated differently. Surface and weight related properties were important factors judging the hand of fabrics by both group.

• The International Journal of Costume Culture
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• v.9 no.2
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• pp.104-112
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• 2006

The studies on impression formation usually have focused on the effect of certain appearance features which elevates perceptual evaluation. This study tried to find out whether there is a consensus on impression formation between the perceived person and the perceiver and if the gender is any significant variable to cast any difference on the impression evaluation. Seven photos of voluntary students in ppt file were projected to 143 students attending a university psychology class and were subjected to a impression evaluation questionnaire consisting of 28 adjective scales. The analysis of result revealed: 1) There was a significant difference between the impression evaluation scores of the perceivers and the perceived; the self evaluation of the perceived person was higher than the perceivers' evaluation. 2) There was also a significant evaluation score difference between the genders of the perceivers; the female perceivers rated the stimuli higher than the male perceivers. There was no interaction effect between the genders of the perceivers and the perceived.

• KSCI Review
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• v.15 no.1
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• pp.191-195
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• 2007

본 논문에서는 영상으로부터 한국적 감성 데이터를 추출하고 감성 컨텐츠 프레임워크(ISC) 구축을 통해 영상데이터를 다양한 멀티미디어 데이터와 함께 사용자에게 전달하는 시스템을 제안한다. 이를 위해 먼저 영상으로부터 객체를 분리해내고 각각의 특징벡터 모델을 구축한다. 특징벡터모델은 요소인자로써 벡터공간의 데이터로 입력되고, 정규화 된 한국어 형용사 데이터와의 근접도를 비교하여 대표 감성을 표현하게 된다. 또한 감성 컨텐츠 데이터의 3층 구조를 이용하여 멀티미디어 데이터를 분류하고 대표 감성형용사와의 인자사상을 통하여 다양한 영상-감성 컨텐츠를 제공하는 프레임워크를 설계한다. 이것은 다양한 영상의 추상데이터에 대응한 감성표현을 추출하여 영상에 내포되어 있는 정확한 의미를 관찰자에게 전달할 수 있다.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.259-268
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• 2019

This study examines the color image of uniform of airline cabin crew according to the demographic characteristics of the customer and demonstrates how it affects the cognitive image of airlines. Adjective adjectives were derived for uniform color images of all eight airlines in Korea and analyzed the image of airline brand color. Based on the analysis of color images, the difference in perception according to the demographic characteristics of passengers was analyzed. When the colors of airline uniforms are mainly blue, sky blue, white and ivory, they have a lot of trust, neat and elegant images. Uniforms with primary colors such as red, orange and green beans are found to have a lot of cheerful, developmental and enterprising images. In addition, the empirical analysis of the impact of the customer's cognitive perception and favoritism on the uniform color image of the airline crew showed that the more positive the airline's positive perception of the uniform color image, the more positive the cognitive image is. In other words, the empirical analysis revealed that the airline's uniform color image, its cognitive image of the airline, and its popularity have significant positive relationships.

• Journal of Korea Multimedia Society
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• v.18 no.11
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• pp.1391-1399
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• 2015

In recent times, studies sentiment analysis are being actively conducted by implementing natural language processing technologies for analyzing subjective data such as opinions and attitudes of users expressed on the Web, blogs, and social networking services (SNSs). Conventionally, to classify the sentiments in texts, most studies determine positive/negative/neutral sentiments by assigning polarity values for sentiment vocabulary using sentiment lexicons. However, in this study, sentiments are classified based on Thayer's model, which is psychologically defined, unlike the polarity classification used in opinion mining. In this paper, as a method for classifying the sentiments, sentiment categories are proposed by extracting sentiment keywords for major sentiments by using hashtags, which are essential elements of Instagram. By applying sentiment categories to user posts, sentiments can be determined through the similarity measurement between the sentiment adjective candidates and the sentiment keywords. The test results of the proposed method show that the average accuracy rate for all the sentiment categories was 90.7%, which indicates good performance. If a sentiment classification system with a large capacity is prepared using the proposed method, then it is expected that sentiment analysis in various fields will be possible, such as for determining social phenomena through SNS.

• The Research Journal of the Costume Culture
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• v.18 no.2
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• pp.348-370
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• 2010

The purpose of this study was to propose some plan which could satisfy consumer's expectation emotional needs by comparing emotional scale between fashion brand image and brand website coloration image. For this study, 12 brand websites within four fashion zone, men's clothing, women's clothing, casual wear, and sports wear were chosen. The questionnaires were comprised of 27 emotional adjectives which were selected from previous studies. The questionnaires were distributed to university students and office workers for 3 to 17 on September. Among them, 118 questionnaires were analyzed by SPSS tool. The qualitative analysis for emotional adjective sorting, content analysis for website color chip sorting, and quantitative analysis for consumers were used in this study. Some differences exist between brand image and website coloration band image as the result. As the numbers of internet user became larger, the costumer's emotional image which gives maximum satisfaction is getting more important in fashion brand website. Therefore, fashion website managers should satisfy consumers with functional and emotional needs.

• Journal of the Korean Institute of Rural Architecture
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• v.8 no.2
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• pp.1-10
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• 2006

Recently the concerns of landscape resources were on the increase about the landscape of control and landscape design. In order to this, purpose of this paper is to develop architectural landscape design data of individual house in Gangwon Provinces. The type of landscape in Donghae seaside consist of three; Road, Mountain, Seaside. And the type of images about individual housing are three; Western, Traditional, Modern. This research is analyzed 18-simulation scenes, factor analysis is used for the SPSS. The results of this study are as follows. First, the housing of western style do not correspond with landscape of Road, but landscape of mountain and seaside were suitable to the western style. Second, mountain in Donghae seaside harmonizes with housing of traditional style. Third, even though the housing of modern style were marked low assessment in three landscape, we found out relation, modern housing was well-matched load landscape. Finally, to improve of landscape housing, which will serve as systematic approach with association of clients, constructors, designers and public service personnel.