• The Research Journal of the Costume Culture
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• v.10 no.1
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• pp.28-36
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• 2002

The purposes of the study were to investigate the effect of garment category, fashion-level and wearer's body type on the basis of temporal stability and to extend the contextual framework. The result was as follows 1) On the basis of temporal stability, Korean style, classic style, and large body type have more temporal stability than western style, fashionable style, normal body type. 2) On the basis of temporal stability of impression dimension, impression of appearance knave most temporal stability, next good-bad, next evaluation, next potency, and sociability. 3) In an interaction effect between measuring time and impression of evaluation, western, fashionable, classic style have the greatest interaction effect. In an interaction effect between measuring time and impression of appearance, western style, normal body type have the greatest interaction effect. In an interaction effect between measuring time and impression of good-bad, western, fashionable style have the greatest interaction effect. It is concluded that the results support the context framework on impression formation.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.4
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• pp.193-200
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• 2019

Maintenance services provided to users in buildings are not sufficient simply to provide them, but it is necessary to provide them with a service system that can accurately identify and respond to users' needs. This study analyzed the relationship between user satisfaction with the helpdesk service corresponding to the building claim and the quality of service of the maintenance organization to identify the interaction between the user and the maintenance organization in the building. We then examined whether there were significant differences between the buildings in terms of variables in the helpdesk service that affect the user's satisfaction. It was also presented as a measure of the quality of service of the SERVQUAL tool to assess the potential for building maintenance response strategies. Research shows that each building has a helpdesk service item that is significant in user satisfaction and empathy has emerged in a typical dimension as SERVQUAL dimension.

• Journal of the Society of Naval Architects of Korea
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• v.54 no.6
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• pp.485-491
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• 2017

An experimental study on the reduction of vertical motion of floating body using floating-submerged body interaction was performed in a two-dimensional wave channel. The system consisting of a floating and submerged body that only move vertically was modeled. This experiment was designed based on the results of theoretical analysis of two-body interaction. The results showed a tendency to significant reduction of heave RAO of floating body due to submerged body. Various connection line stiffness and dimension of the submerged body were applied to investigate the effect of two-body interaction on the vertical motion of the bodies, Heave RAOs of the floating-submerged body were compared with those of single body. From the comparison study, we obtained an optimum condition of connection line and dimension of submerged body for maximum heave reduction at the resonant period of single body.

• The Research Journal of the Costume Culture
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• v.15 no.5
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• pp.863-874
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• 2007

The propose of the study was to evaluate impression effects and likeness of clothing styles and make-up types. The stimuli were composed of 4 clothing styles(base, natural, romantic, classic) and 4 make-up types(no make-up, natural, romantic, classic). The subjects were 512 male and female university students in Daejeon and Chungnam province. The study consisted of a survey and quasi- experiment. The experimental materials used for this study were 16 stimuli, 32 hi-polar adjectives, and likeness scale were composed of 7-point Likert type scales. As a result, the clothing styles and make-up types effected on the 4 impressional dimensions: grace, evaluation, salience, and dynamism. The clothing styles effected on grace, salience and dynamism dimension and the effect of dynamism dimension was the most powerful among the dimensions. The make-up types effected on all of the 4 impression dimensions and the effect of salience dimension was the most powerful among the dimensions. The interaction effects existed between the clothing styles and make-up types in salience dimension. The likeness showed significant difference only on the make-up types. The effect of grace dimension was the most powerful among the dimensions. The main reason that make-up effect appears greatly could be analyzed into that clothes color is controlled by white. The results suggest the necessity of succession study about the effect of clothes color.

• Journal of Information Technology Applications and Management
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• v.14 no.3
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• pp.179-197
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• 2007

This paper analyzed the effects of interactions among participants on the satisfaction and commitment of cyber education. Even if the quality of interactions in cyber education may not be so good as that of interactions in face to face education. various kinds of interactions could be introduced in cyber education. An email or Q/A between lecturer and students could be a good way to compensate the deficiency of cyber education. Common News Boards or Discussion Rooms among students themselves are also a powerful means to learn each other in cyber space. The result of this study shows that as interactions among participants increase. satisfaction and commitment of the lecture also increase. This study also analyzed how cyber educational effects differs as interaction type changes in space dimension and time dimension. The result shows interactions in the same cyber space such as News Board brings more desirable outcome than those in the different cyber space. But the effects of interactions classified by time dimension does not show statistically significant differences.

• Journal of Internet Computing and Services
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• v.12 no.2
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• pp.113-122
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• 2011

Social Network Service(SNS) has become a hot trend as a web service which helps users construct social relationships in the web and enables online communication. The information about user activities and behaviors obtained from the SNSs is expected to be an useful knowledge source for other services such as recommendation services. Most of previous researches on SNS rely on analyzing overall network topology and surveying the activities in a one-dimensional aspect. This paper propose a system for measuring multi-dimensional interaction through the activities in a SNS. The proposed system delivers an unified profile (consisting of profile and multi-dimension interaction) model from user-activities in Twitter.com. At the experimental section, some meaningful perspectives on a set of the unified profiles are described.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.318-325
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• 2010

This study is to examine loyalty building model which reflected differentiated traits of professional service to establish strong loyalty for gaining competitive edge. Professional service is where consumer can not easily predict the result of service as well as other common traits. It also has trait that is difficult to evaluate service satisfaction and quality even after using the service because knowledge imbalance between service provider and user is great. Therefore, in professional service, satisfaction and emotion that consumer perceives in the service use process will play critical role in loyalty formation. As a result, the model of this study divided dimension into responsiveness satisfaction which is satisfaction dimension of professional service use process, interaction satisfaction, technical satisfaction and structurally examined the relationship between emotional commitment and cognitive commitment and the relationship between dimension of commitment and loyalty. The analysis result show that dimension of satisfaction which perceived in professional service use process increases both emotional commitment and cognitive commitment and these commitments effect to loyalty formation.

• Geotechnical Engineering
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• v.8 no.1
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• pp.7-18
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• 1992

This paper is a basic study of three by finite element method. Plate and medium. Plate is discretized 4 node p melt. At the interface between plate a melt is adopted for considering plate Measured vertical displacement out by plate foundation interaction finite zion is followed as ; 1. as being interface element adopts dation interaction finite element 2. As being interface element and platefoundation interaction finite 3. As being interface element adopte Therefore, post processing that as.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.11-17
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• 2017

In this paper, we propose the authoring tools engine supported a 4 dimension display contents which serve display of high quality (UHD*250) curved using 4 dimension engine, which is a innovation technology by authoring tools of management software supported 4 dimension editing environment on curved flexible display. The important technology is as follows, the first, the authoring tools of 4 dimension viedo wall for a flexible high quality display(UHD*256) using multiscreen synchornization, the second implemented a bidirection interaction technology of UI/UX interface, which is established by 360 degree recognition sensor for digital signage, the 4 dimension viedowall flexible display with curve, the third, implemented the authoring tool software for various dimension electronic books first in the world.

• Korean Journal of Cognitive Science
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• v.28 no.4
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• pp.299-314
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• 2017

Predicting compound-protein interactions in-silico is significant for the drug discovery. In this paper, we propose an scalable machine learning model to predict compound-protein interaction. The key idea of this scalable machine learning model is the architecture of pairwise neural network model and feature embedding method from the raw data, especially for protein. This method automatically extracts the features without additional knowledge of compound and protein. Also, the pairwise architecture elevate the expressiveness and compact dimension of feature by preventing biased learning from occurring due to the dimension and type of features. Through the 5-fold cross validation results on large scale database show that pairwise neural network improves the performance of predicting compound-protein interaction compared to previous prediction models.