• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.05a
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• pp.116-121
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• 2005

This research against the method of applying a traditional design elements to modern interior space is classified and analyzed by direct expression method, a transfigure expression method, a metaphor expression method and a symbol expression method. The direct expression method means the modernizing the traditional design elements by expressing traditional material and structural formative style as they are, and the transfigure expression method is the design method of re-organizing the elements by simplifying and transfiguring the traditional design elements. Metaphor expression method includes the method of expressing visually the formative concept which does not known concretely, and the symbol expression method exchanges the rising concepts into concrete elements and expresses by new design.

• Korean Institute of Interior Design Journal
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• v.14 no.6 s.53
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• pp.66-74
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• 2005

The purpose of this study analyzes an expression method and a characteristic of transparency of a surface in commercial space, and it is to show an index of a surface design. We did image evaluation by SD method for the commercial space which directed transparency to a surface as the method. We used a factor analysis and cluster analysis to get the image characteristic and type of the expression methods. As a result, we got six following expression methods and design indexes. (1) Transparency expression of a surface by a multiple layer. (2) Transparency expression of a surface by unification with a structure. (3) Transparency expression of a surface by transparency of materials. (4) Transparency expression of a surface by a combination of various materials. (5) Transparency expression of a surface by unification of the image media. (6) Transparency expression of a surface by transparency transformation of materials. We think that it will be able to make use of these results as a design index for the surface design of a commercial space in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.197-200
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• 2014

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image. The proposed method produces good results of facial expression and discriminates risk situation well.

• Journal of the Korean Society of Costume
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• v.56 no.8 s.108
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• pp.148-159
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• 2006

The objective of this study is to consider the uniform as visual communication, and analyze the expression of symbol shown on the uniform design by the pattern by applying the visual symbol in the communication and operation of the meaning. Also, it is to construct the systematic modeling method of the expression of design symbol by the pattern of uniform in th e various fields. This study is to analyze the symbolic expression method of the uniform design by the pattern by suggesting the symbolic expression method as a frame through the visual symbolic approach of the uniform design and the analysis of semantic symbol according to that. As a result, there arose simplification and emphasis and a method of symbolic expression with the national flag, a conceptual factor characteristically in the sports uniform design. The characteristics of symbolic expression of uniform design were mainly used in the symbolic expression with the customary code and symbol. Also, the uniform in the enterprises were widely used in the expression of uniform with the suggestion and code by the color. As for the characteristics of symbolic expression shown on the event uniform design, the method of symbolic expression by the pattern of uniform was grasped differently asa result of symbolic expression through the image. The method of symbolic expression suggested on this study could be used on a basis of uniform design in the future. Accordingly, this study has a meaning of suggesting the methodology of uniform design that would be a parameter.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.51-55
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• 2015

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing dangerous situation. The proposed method firstly extracts the facial region using Harr-like technique from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, detects facial expression, and recognizes dangerous situation. The proposed method is evaluated for MUCT database image and web cam input. The proposed method produces good results of facial expression and discriminates dangerous situation well and the average recognition rate is 91.05%.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.5
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• pp.520-525
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• 2014

Generally, feature area detection methods are widely used for face expression recognition by detecting the feature areas of human eyes, eyebrows and mouth. In this paper, we proposed a face expression recognition method using the histograms of the face, eyes and mouth for many applications including robot technology. The experimental results show that the proposed method has a new type of face expression recognition capability compared to conventional methods.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.598-607
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• 2016

The purpose of this study is to suggest necessity of idea expression method suitable for people in our country and deduct Graphic Ideation method by grasping problems of existing idea expression method. The idea expression method (association stimulating method, conceptual shifting method, information combination method) used by many graphic designers is effective in suggesting initial keyword, but has difficulty in the course of deducting the concept. Though deduction of core keyword is important to develop as a concept, the course of separation, combination in keyword connection play an important role, and most of idea expression methods are unavailable for suggesting concrete method for the course. Also as most of idea expression methods were developed and delivered in English-speaking world, it is suitable in English-speaking world culture which has thinking focused on words, but people in our country, which have thinking focusing on narration, cannot consider difference in language thinking due to limitation in idea for each stage. This study deducted idea expression method suitable for emotion of people in our country by proving the value of this idea expression method with style of suggesting and demonstrating 4 hypotheses in order to make the course for easy connection, separation, combination of keyword deducted by existing idea expression method, as well as suggesting idea expression method design based on these hypotheses. This idea expression method used rhetoric so that it is suitable for people our country who are strong for narration expression.

• Korean Institute of Interior Design Journal
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• v.22 no.2
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• pp.186-193
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• 2013

In the commercial space, the modern consumers want to consume not only product but also culture. Thus, the modern commercial space tries to induce the customer's concern and purchase to the differentiated design. The introduction of this 'the natural element' delivers the pleasure and stability to the consumer buying process and availability is enlarged. Therefore, the purpose of study is gain that expression and characteristic method of the natural element in the commercial space. The detailed study method are as follows. First, the study looks into the natural element expression tendency in the modern space. Second, the expression type of the natural element was classified as 'Reappearance', 'Transformation', and 'Fuse' based on the preceding research. And according to the content of the expression type, subdivided method of 'Inclusion' and 'Replication' of 'Reappearance' and method of 'Imitation' and 'Association' of 'Transformation' and method of 'Juxtaposition' and 'Combine' of 'Fuse'. Third, the result of analyze the characteristic of expression of the natural element of the besides the commercial space case 20 place is as follows. First, 'Inclusion' of 'Reappearance' introduced the external scenery or planned garden as the inside through the opening. 'Replication' is used for decorative purposes or functional purposes as the natural element. 'Imitation' of 'Transformation' imitated the form, pattern, and color of the natural element and was mainly expressed in the wall and objet. The method of 'Association' expressed the concept of the natural element for the whole of the space and a portion of the wall and objet repetitively. As for 'Juxtaposition', mixture of 'Reappearance' had a good visual effect, because it can be obtained the external-internal nature. As for 'Combine', mixture of 'Replication' and 'Imitation' was the most common method. Thus, the study results are expected to be utilized as base date in designing the commercial with development of the natural element application method.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.556-570
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• 2021

The existing video expression recognition methods mainly focus on the spatial feature extraction of video expression images, but tend to ignore the dynamic features of video sequences. To solve this problem, a multi-mode convolution neural network method is proposed to effectively improve the performance of facial expression recognition in video. Firstly, OpenFace 2.0 is used to detect face images in video, and two deep convolution neural networks are used to extract spatiotemporal expression features. Furthermore, spatial convolution neural network is used to extract the spatial information features of each static expression image, and the dynamic information feature is extracted from the optical flow information of multiple expression images based on temporal convolution neural network. Then, the spatiotemporal features learned by the two deep convolution neural networks are fused by multiplication. Finally, the fused features are input into support vector machine to realize the facial expression classification. Experimental results show that the recognition accuracy of the proposed method can reach 64.57% and 60.89%, respectively on RML and Baum-ls datasets. It is better than that of other contrast methods.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2002.06a
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• pp.139-152
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• 2002

Gene-shaving(Hastie et al, 2000) is a very useful method to identify a meaningful group of genes when the variation of expression is large. By shaving off the low-correlated genes with the leading principal component, the primary genes with the coherent expression pattern can be identified. Gene-shaving method works well If expression levels are varied enough, but it may not catch the meaningful cluster in low expression level or different expression time even with coherent patterns. The sliding window gene-shaving method which is to apply gene-shaving in each sliding window after hierarchical clustering is to compensate losing a meaningful set of genes whose variation is not large but distinct. The performance to identify expression patterns is compared for the simulated profile data by the different variance and expression level.