• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.5
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• pp.747-764
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• 1995

The purpose of the present study were 1) to identify the dimensional structure of impression formed of a female figure, 2) to analyze effects of several elements of apparel design on impression formation of the figure in suit. The experimental materials developed for this study were a set of stimuli and a response scale. The stimuli consisted of 60 drawings made by identical manipulations of 3 indepndent variables in 3 clothing styles(suit, dress and pants with blouse). The independent variables were (1) five clothing colors (red, blue, yellow, white and black), (2) two lengths(short/long) of suit skirt, dress, and pants (3) two types of blouse and dress collars (shirt collar/ribbon collar). The 7-point semantic differential response scale to measure the dependent variables (formed impressions of the female figure) was composed of 37 bipolar adjectives. Further- more, two open-ended questions were used for interpretation of the reponses. The study proceeded in three independent experimental part was based on the 3 clothing styles using a 5(color)$\times$2(length)$\times$2(collar) factorial design. Subject were 200 female undergraduate students reandomly assigned to one of 20 combinations in each part of the experiment. The data were analyzed by factor analysis, 3-way ANOVA and Multiple Classification Analysis. Five factors emerged to account for the dimensional structure of impression of the female figure in specific attire. These factors included three basic dimensions of impression identified as potency, activity and evaluation, confirming the results of previous studies. Result from open-ended questionaire supported the theoretical perspective of Schneider, Hastorf and Ellsworth on the procedure of impression formation.

• Korean Institute of Interior Design Journal
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• v.14 no.5 s.52
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• pp.106-113
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• 2005

New images percolate through human consciousness by the media such as movies, TV programs, and brilliant advertisements. These images reproduce new ' things ' throughout the ' semantic processes ' by those who experience and recognize them. Alvin Toffler describes it as the ' information bomb ' and ' image fragments ' in his talk about the new paradigm of information-oriented era. The increasing number of images and their accelerating rate of appearance imply that images become more momentary, and are evidence that they are transforming entire human life and consciousness. Such awareness means a lot to a designer. Especially, the subject that how modern space-dominating images are related to the structure and materials constituting the space and communicate with human mind will be an important factor in establishing the human-space relationship in the future. Furthermore, the present age overspread with various medium is not the only one privileged of the images that exist within space. They are the results of continuous expansion of existing images, and also process of evolution of space powered by the fusion of images and digital media. Imagified space is a boundary layer of Cyberspace, and the space itself becomes an interface by human recognition and participation. Now, the functional classification of spaces such as ' office, ' ' cafe, ' and ' school ' is meaningless. Whatever it may be, the function of a space is defined by the information it interfaces, and therefore it becomes an interface to information through a large number of images. Based on this idea, we will observe the imagificaiton of space in the form of discussion, and from that, try to understand the phenomenon through the real world examples.

• Korean Institute of Interior Design Journal
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• v.17 no.6
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• pp.71-81
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• 2008

The purposes of this research are to correctly understand the relationship between a visual communication structure and a semantic communication structure when integrating and changing various architectural visual information. This study will classify various diagrams, which have been actively applied to the works of Rem Koolhaas and MVRDV when designing architecture, and based on the classification, it will analyze how the expression viewpoints inherent in the diagrams are changed and applied to processing and changing architectural visual information. The transformal usage of the visual information of architectural diagrams is classified into an analysis-centered processing method and a concept-centered processing method, and the characteristics of their usage are analyzed. The former shows an observer-centered expression viewpoint which effectively delivers an architect's analyzed architectural information or intent to a customer or an observer. It also allows an easy perception of the analyzed data, and uses qualitative expression viewpoints. The method combines systematic expression viewpoints, which value a relationship with visual information, and various architectural visual information; uses the combined expression viewpoints as one diagram for delivering various information simultaneously and for changing visual information. The latter shows author-centered subjective expression viewpoints, which are different from reproduction-centered fixed expression viewpoints. This method uses arbitrary expression viewpoints that overly extort, change or manipulate visual information. It shows simultaneous expression viewpoints that integrate various architectural visual information via omniscient expression viewpoints, such as reversing or projecting the points of viewing subjects, which human beings cannot perceive.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2866-2879
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. Previous studies on game bot detection have proposed many methods to find out discriminable behaviors of bots from humans based on the fact that a bot's playing pattern is different from that of a human. In this paper, we look at the chatting data that reflects gamers' communication patterns and propose a communication pattern analysis framework for online game bot detection. In massive multi-user online role playing games (MMORPGs), game bots use chatting message in a different way from normal users. We derive four features; a network feature, a descriptive feature, a diversity feature and a text feature. To measure the diversity of communication patterns, we propose lightly summarized indices, which are computationally inexpensive and intuitive. For text features, we derive lexical, syntactic and semantic features from chatting contents using text mining techniques. To build the learning model for game bot detection, we test and compare three classification models: the random forest, logistic regression and lazy learning. We apply the proposed framework to AION operated by NCsoft, a leading online game company in Korea. As a result of our experiments, we found that the random forest outperforms the logistic regression and lazy learning. The model that employs the entire feature sets gives the highest performance with a precision value of 0.893 and a recall value of 0.965.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.600-608
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• 2017

Recently data growth rates are growing exponentially according to the rapid expansion of internet. Since users need some of all the information, they carry a heavy workload for examination and discovery of the necessary contents. Therefore information retrieval must provide hierarchical class information and the priority of examination through the evaluation of similarity on query and documents. In this paper we propose an Multi-class support vector machines model based clustering for hierarchical document categorization that make semantic search possible considering the word co-occurrence measures. A combination of hierarchical document categorization and SVM classifier gives high performance for analytical classification of web documents that increase exponentially according to extension of document hierarchy. More information retrieval systems are expected to use our proposed model in their developments and can perform a accurate and rapid information retrieval service.

• KIISE Transactions on Computing Practices
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• v.22 no.6
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• pp.290-295
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• 2016

Recently, folksonomy-based image-sharing sites where users cooperatively make and utilize tags of image annotation have been gaining popularity. Typically, these sites retrieve images for a user request using simple text-based matching and display retrieved images in the form of photo stream. However, these tags are personal and subjective and images are not categorized, which results in poor retrieval accuracy and low user satisfaction. In this paper, we propose a categorization scheme for folksonomy images which can improve the retrieval accuracy in the tag-based image retrieval systems. Consequently, images are classified by the semantic similarity using text-information and image-information generated on the folksonomy. To evaluate the performance of our proposed scheme, we collect folksonomy images and categorize them using text features and image features. And then, we compare its retrieval accuracy with that of existing systems.

• Journal of Korea Multimedia Society
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• v.17 no.1
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• pp.43-51
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• 2014

Social Network Service has the sufficient potential can be widely and effectively used for various fields of society because of convenient accessibility and definite user opinion. Above all Twitter has characteristics of simple and open network formation between users and remarkable real-time diffusion. However, real analysis is accompanied by many difficulties because of semantic analysis in 140-characters, the limitation of Korea natural language processing and the technical problem of Twitter is own restriction. This thesis paid its attention to human's political attitudes showing permanence and assumed that if applying it to the analytic design, it would contribute to the increase of precision and showed it through the experiment. As a result of experiment with Tweet corpus gathered during the election of national assemblymen on 11st April 2012, it could be known to be considerably similar compared to actual election result. The precision of 75.4% and recall of 34.8% was shown in case of individual Tweet analysis. On the other hand, the performance improvement of approximately 8% and 5% was shown in by-timeline political attitude analysis of user.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.3
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• pp.311-326
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• 1994

The purpose of this study was to identify 1) the effect of two contexts (job interview, Informal outing) and clothing cues (type, style, color) on male impresssions 2) the effect of perceiver's age on male impressions created by the clothing cues and contexts. The subjects consisted of 256 male undergraduate students and 256 middle-aged men. The experimental materials developed for this study were a set of stimuli and response scales. The stimuli were 8 color photographs of drawings of a male figure in clothing which were manipulated in two levels, each of three clothing cues including type, style and color. The experimental design was full factorial design of $(2^4contex^2{\times}clothing type^2{times}clthing color^2$. Each of the 16 sub-samples includes 16 subjects from the two perceiver group. Questionnaires used to measure perceivers responses to the stimuli were 7-point semantic differential scales composed of 37 bipolar adjectives representing personal traits. The data was processed by factor analysis, ANOVA, multiple classification analysis, Duncan's multiple range test. The major findings drawn from this study were as follows: 1. Three factors emerged to account for the dimensional structure of the impressions of the male figure in clothing in two social situations. These factors involved evaluation, activity and uniqueness. 2. The contexts, clothing types and clothing styles had significant effects on evaluation, activity and uniqueness. The clothing styles had a considerable effect on both evaluation and uniqueness while the clothing types affected activity. The clothing color had least effect on the impression and had only moderate effect on evaluation. 3. Perceiver's age influenced impressions formed by the social contexts and clothing cues. Male college students were least affected by contexts and clothing cues, while middle-aged men wert affected most.

• Journal of KIISE:Software and Applications
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• v.32 no.5
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• pp.396-405
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• 2005

Since sentences are the basic propositional units of text, their themes would be helpful for various tasks that require knowledge about the semantic content of text. Despite the importance of determining the theme of a sentence, however, few studies have investigated the problem of automatically assigning the theme to a sentence. Therefore, we propose a sentence theme allocation scheme based on the head-driven patterns of sentences in encyclopedia. In a serious of experiments using Dusan Dong-A encyclopedia, the proposed method outperformed the baseline of the theme allocation performance. The head-driven pattern 4, which is reconfigured based on the predicate, showed superior performance in the theme allocation with the average F-score of $98.96\%$ for the training data, and $88.57\%$ for the test data.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.8
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• pp.1194-1205
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• 1999

The hand characteristics of bast blended fabrics are studied by a subective evaluation method. To offer basic data for development of better hand of bast fiber fabrics customer's hand preference surveys are executed as well. IN this study 51 varieties of linen or ramie blended fabrics of various blending ratio density and thickness and Hansan ramie Chinese ramie and a Shingosen fabics of various blending ratio density and thickness and Hansan ramie Chinese ramie and a Shingosen farbic and used. To evaluate the hand of the fabrics subjectively nine ranks' semantic differential scale questions of 26 items are developed with adjective pairs. A seven ranks' scale is also developed to evaluate hand preferences in blouse and jacket cloths, Through subjective evaluation of bast blended fabrics the 26 items could be classified into seven kinds of hand classification : surface characteristics extensibility/drapability felling of heaviness stiffness resilience moisture property and feeling of density. The cumulative variance value explained by these seven factors is 67.18% According to the results of fabrics' preference by age groups no significant differences are found in blouse cloths but a few significant differences are found among different age groups in jacket clothes. However experts and non-experts show considerable differences on preference It can be concluded that fabrics' preference I more dependent on professionality than on age. In the survey experts. However more drapery cloths are preferred by experts and cloths with drier touch are preferred by non-experts. Experts prefer rougher less even less winding heavier and sparser fabrics but non-experts prefer rougher lighter thinner and stiffer fabrics as jacket cloths.