• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2003.09a
• /
• pp.447-450
• /
• 2003

In this research, we propose an automatic knowledge acquisition and composite knowledge expression mechanism based on machine learning and relational database. Most of traditional approaches to develop a knowledge base and inference engine of expert systems were based on IF-THEN rules, AND-OR graph, Semantic networks, and Frame separately. However, there are some limitations such as automatic knowledge acquisition, complicate knowledge expression, expansibility of knowledge base, speed of inference, and hierarchies among rules. To overcome these limitations, many of researchers tried to develop an automatic knowledge acquisition, composite knowledge expression, and fast inference method. As a result, the adaptability of the expert systems was improved rapidly. Nonetheless, they didn't suggest a hybrid and generalized solution to support the entire process of development of expert systems. Our proposed mechanism has five advantages empirically. First, it could extract the specific domain knowledge from incomplete database based on machine learning algorithm. Second, this mechanism could reduce the number of rules efficiently according to the rule extraction mechanism used in machine learning. Third, our proposed mechanism could expand the knowledge base unlimitedly by using relational database. Fourth, the backward inference engine developed in this study, could manipulate the knowledge base stored in relational database rapidly. Therefore, the speed of inference is faster than traditional text -oriented inference mechanism. Fifth, our composite knowledge expression mechanism could reflect the traditional knowledge expression method such as IF-THEN rules, AND-OR graph, and Relationship matrix simultaneously. To validate the inference ability of our system, a real data set was adopted from a clinical diagnosis classifying the dermatology disease.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.19 no.2
• /
• pp.380-392
• /
• 1995

The purpose of this study was to investigate a comparison between method of depaysement of Surrealism and modern costume. Surrealism was based on Freud's theory of uncon\ulcornersciousness and Hegelian dialectic. I found that its method of expression and inspiration have a continuous influence on a field of fashion through preceding study. Surrealism stimulated Elsa Schiaparelli (1890-1973) to make creative and innovative costume which created a sensatio.i1 the world of fashion in 1930. And it have been influence on modern fashion. From this point of view, I examined surrealistic painter of Rene Magritte (1898-1967) to use shocking method of depaysement through literature and photographes. And I made researches on Paris London collcetions from 1989 to 1994 in the cause of analysis a comparison with depaysement in painting of R. Magritte. As the result of analysising main works of R.Magritte according classification of Suzi Gabric (an art critic), he was expressive of usual object in various of depaysement. I also proved that modern fashion which was new shocking, innovative and avant-garde presented unconsciousness through these expression of depaysement with common subject. In consequence, the method of expression of surrealism have been a durable influence on modern costume.

• Proceedings of the Korean Society for Bioinformatics Conference
• /
• 2005.09a
• /
• pp.63-68
• /
• 2005

Transcription factors regulate gene expression by binding to gene upstream region. Each transcription factor has the specific binding site in promoter region. So the analysis of gene upstream sequence is necessary for understanding regulatory mechanism of genes, under a plausible idea that assumption that DNA sequence motif profiles are closely related to gene expression behaviors of the corresponding genes. Here, we present an effective approach to the analysis of the relation between gene expression profiles and gene upstream sequences on the basis of kernel canonical correlation analysis (kernel CCA). Kernel CCA is a useful method for finding relationships underlying between two different data sets. In the application to a yeast cell cycle data set, it is shown that gene upstream sequence profile is closely related to gene expression patterns in terms of canonical correlation scores. By the further analysis of the contributing values or weights of sequence motifs in the construction of a pair of sequence motif profiles and expression profiles, we show that the proposed method can identify significant DNA sequence motifs involved with some specific gene expression patterns, including some well known motifs and those putative, in the process of the yeast cell cycle.

• Journal of Magnetics
• /
• v.18 no.1
• /
• pp.14-20
• /
• 2013

For the treatment of osteoarthritis, pulsed electromagnetic field stimulus has been suggested as a useful therapeutic method in rehabilitative medicine. Most studies have been performed under low-frequency and low-energy to find out biological properties for stimulating chondrocyte with pulsed magnetic field. In this study, the effect of strong pulse magnetic field on the human chondrosarcoma cells (SW-1353) has been investigated by means of cell counting, morphologies, and gene expression of cartilage extracellular matrix genes. The SW-1353 cells were exposed under the field intensities of 270, 100, 55, 36, and 26 mTesla during 6 hours a day in 5 consecutive days. The pulse magnetic field with an LRC oscillating signal has the pulse width of 0.126 msec and stimulation period of 1 sec. For the 270 and 100 mTesla stimulation, the cell proliferation significantly increased in 21-24% as compared with the non-stimulated cells. Gene expression of cartilage extracellular matrix genes (ACAN, COMP and COL2A1) was assayed by quantitative real time-PCR method. The ACAN gene expression showed a significant brightness, which means the increase on gene expression, compared with the non-stimulated cells. Our results suggest that the strong pulse magnetic field stimulation can be utilized to accelerate cell proliferation and gene expression on human chondrosarcoma cells.

• Proceedings of the Korean Society for Bioinformatics Conference
• /
• 2005.09a
• /
• pp.161-164
• /
• 2005

Data mining techniques can be applied to identify patterns of interest in the gene expression data. One goal in mining gene expression data is to determine how the expression of any particular gene might affect the expression of other genes. To find relationships between different genes, association rules have been applied to gene expression data set [1]. A notable limitation of association rule mining method is that only the association in a single profile experiment can be detected. It cannot be used to find rules across different condition profiles or different time point profile experiments. However, with the appearance of time-series microarray data, it became possible to analyze the temporal relationship between genes. In this paper, we analyze the time-series microarray gene expression data to extract the sequential patterns which are similar to the association rules between genes among different time points in the yeast cell cycle. The sequential patterns found in our work can catch the associations between different genes which express or repress at diverse time points. We have applied sequential pattern mining method to time-series microarray gene expression data and discovered a number of sequential patterns from two groups of genes (test, control) and more sequential patterns have been discovered from test group (same CO term group) than from the control group (different GO term group). This result can be a support for the potential of sequential patterns which is capable of catching the biologically meaningful association between genes.

• Convergence Security Journal
• /
• v.19 no.1
• /
• pp.67-78
• /
• 2019

Most existing facial expression recognition methods use a uniform grid method that divides the entire facial image into uniform blocks when describing facial features. The problem of this method may include non-face backgrounds, which interferes with discrimination of facial expressions, and the feature of a face included in each block may vary depending on the position, size, and orientation of the face in the input image. In this paper, we propose a variable-size block method which determines the size and position of a block that best represents meaningful facial expression change. As a part of the effort, we propose the way to determine the optimal number, position and size of each block based on the facial feature points. For the evaluation of the proposed method, we generate the facial feature vectors using LDTP and construct a facial expression recognition system based on SVM. Experimental results show that the proposed method is superior to conventional uniform grid based method. Especially, it shows that the proposed method can adapt to the change of the input environment more effectively by showing relatively better performance than exiting methods in the images with large shape and orientation changes.

• Journal of the Korean housing association
• /
• v.20 no.2
• /
• pp.101-108
• /
• 2009

The purpose of this study is to develop basic data for the design of the housing space for unit that factors in the sentiment of the residents by using aesthetic elements and expression method to search for the ways to design housing space for differentiated unit. The results are as follows: First, aesthetic elements in the aesthetic element in the unit housing space for unit can be classified into basic elements and detailed elements. Second, it is possible to classify into distortion, mixing, superposition and juxtaposition methods. Third, use of the 'material' for 'wall' is recommended when designing differentiated housing space by using basic elements. At this time, expression using the method of 'mixing' is effective for inducing differentiation. In particular, elements that can perceive the difference in time are mixed, to add on slight differentiation. Fourth, 'illumination' and 'material' are used when designing differentiated housing space by using detailed elements. Fifth, preference degree of the expression method is manifested differently depending on the selected elements. Lastly, this study conducted a study on the preference level of the aesthetic elements and expression method targeting the experts alone to differentiate the design of the residential space for unit.

• Genomics & Informatics
• /
• v.17 no.4
• /
• pp.45.1-45.3
• /
• 2019

To identify pathways associated with survival phenotypes using gene expression data, we recently proposed the hierarchical structural component model for pathway analysis of gene expression data (HisCoM-PAGE) method. The HisCoM-PAGE software can consider hierarchical structural relationships between genes and pathways and analyze multiple pathways simultaneously. It can be applied to various types of gene expression data, such as microarray data or RNA sequencing data. We expect that the HisCoM-PAGE software will make our method more easily accessible to researchers who want to perform pathway analysis for survival times.

• Korean Institute of Interior Design Journal
• /
• v.20 no.2
• /
• pp.147-155
• /
• 2011

The purpose of this study is to grope for plan methods through analyzing preferences on expression methods of materials for visual differentiation in hosing space. The results are as follows : First, we could know that finish material is the important element to make differential design in housing space. It is a effective method to use the color and material of finish materials. Second, we could find they preferred woods in materials and Y color, N9.5, bright and light in colors through grasping preference about types in material elements. The preferred texture is soft and the preferred patterns are solid and geometry. Third, it is a good method to mix materials which give us different season feeling, and to mix colors which are different tones to lead the differential design by materials in housing space. In case texture and patterns, what we mix similar things is the effective method. Fourth, preference of the expression method is manifested differently depending on the selected elements. so when we plan the housing, we have to consider that. lastly, I think this study will be a basic data on a study to differentiate the design of the residential space.

• Journal of the Korean Society of Costume
• /
• v.63 no.5
• /
• pp.72-86
• /
• 2013

This research aims to analyze the expressive characteristics of the fashion illustration in various fashion products such as clothing, accessories, other fashion products, and magazine advertisements. Targeting 223 items of products that had adjoined fashion illustration from 2000 to 2008, which had been collected through from magazines and web sites using the fashion illustration expression categorization (expression technique drawing style, body expression, expression image, attaching method to product) based on the theoretical background and the general trends by products. In frequency analysis results, painting technique and graphic technique were of great importance in the expression technique, and shading drawing and contour drawing were of great importance over all product groups for the drawing style. In body expression, exaggerative expression was the highest; simple expression and realistic expression were of great importance over all product groups relatively. In particular, there was a very distinct difference by fashion products in expression image. Humor image has the most importance in fashion clothing and fashion accessories. Casual image is the most important in magazine advertisements, and feminine image is the most important for other fashion products. Lastly, in attaching method to products, finished goods printings made up the largest proportion over all products. In fashion clothing, textile printings was the highest in proportions. Stitch in fashion accessory, the original form of commodity in other fashion products. This study will become a very valuable source in fashion products development using fashion illustrations.