• 제목/요약/키워드: information expression

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A Study on Convergence Expression Using Transfer Printing Techniques in Contemporary Ceramic Art (현대 도예의 전사기법을 활용한 융복합 표현에 관한 연구)

  • Park, Koung-Ju;Choi, Jung-Hwa
    • Journal of Digital Convergence
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    • v.15 no.5
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    • pp.333-338
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    • 2017
  • Modern ceramics art has various expression techniques. Among them, the digitization of modern society has led to the development of the transfer printing technique, and the technique of transfer printing has been utilized as medium of expression of modern ceramics. However, the transfer printing technique is merely uniform and does not give enough information to utilize the artistic expression of the craftsmen using the technique of decal rather than actively utilizing it in the field for mass production. Therefore. In this paper, we will examine the works of contemporary pottery artists who understand the meaning of the transfer printing technique and express the artist 's personality and artistry with transfer printing technique, so that the transfer printing technique can enhance the aesthetic and artistic effect of ceramic art as the expression medium of modern ceramics. We want to lay the foundations for a higher value-added industry.

A Study on Expression and the Extent of Using Make-up According to the Make-up Lifestyle of Woman (성인 여성의 메이크업 라이프스타일에 따른 메이크업 표현과 사용정도에 관한 연구)

  • 배정숙;류현혜
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.2
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    • pp.332-343
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    • 2004
  • This is a study on expression and the extent of using make-up according to the lifestyle of woman. The purpose of this study is to induce factors which decide the lifestyle of woman, group them, understand groups' demographic characteristic and study on make-up expression and the extent of using make-up according to the lifestyle of groups. This survey is conducted to 611 women and analyzed with SPSS package. The result of a study is as follows: 1. We classified them into 5 factors such as factors of make-up preference, arance-oriented, economy and information-oriented, daily make-up, and interest in make-up with the method of AIO analysis. Then I researched groups on the basis of the mean of those factors. As a result, it is classified as a make-up oriented group, a consciously daily make-up group, a unconcern of make-up group, and a reasonable make-up pursuit group. 2. The demographic characteristic according to the classified lifestyles showed the difference as a result of variance analysis of age, marital status, job, education, and monthly pay. 3. A result of variance analysis on the extent of satisfaction with their faces according to the lifestyle showed the difference of facial satisfaction with complexion, skin, eyes, nose and so on. 4. We analyzed a reason of make-up, a extent of make-up, image to express, the most concerning part for make-up, and the type of cosmetics which people use most in order to know the difference of make-up expression and the extent of using make-up. As a result, its variance showed the difference among groups.

Fuzzy Cluster Analysis of Gene Expression Profiles Using Evolutionary Computation and Adaptive ${\alpha}$-cut based Evaluation (진화연산과 적응적 ${\alpha}$-cut 기반 평가를 이용한 유전자 발현 데이타의 퍼지 클러스터 분석)

  • Park Han-Saem;Cho Sung-Bae
    • Journal of KIISE:Software and Applications
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    • v.33 no.8
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    • pp.681-691
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    • 2006
  • Clustering is one of widely used methods for grouping thousands of genes by their similarities of expression levels, so that it helps to analyze gene expression profiles. This method has been used for identifying the functions of genes. Fuzzy clustering method, which is one category of clustering, assigns one sample to multiple groups according to their degrees of membership. This method is more appropriate for analyzing gene expression profiles because single gene might involve multiple genetic functions. Clustering methods, however, have the problems that they are sensitive to initialization and can be trapped into local optima. To solve these problems, this paper proposes an evolutionary fuzzy clustering method, where adaptive a-cut based evaluation is used for the fitness evaluation to apply different criteria considering the characteristics of datasets to overcome the limitation of Bayesian validation method that applies the same criterion to all datasets. We have conducted experiments with SRBCT and yeast cell-cycle datasets and analyzed the results to confirm the usefulness of the proposed method.

Expression Profiling of Lipopolysaccharide Target Genes in RAW264.7 Cells by Oligonucleotide Microarray Analyses

  • Huang, Hao;Park, Cheol-Kyu;Ryu, Ji-Yoon;Chang, Eun-Ju;Lee, Young-Kyun;Kang, Sam-Sik;Kim, Hong-Hee
    • Archives of Pharmacal Research
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    • v.29 no.10
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    • pp.890-897
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    • 2006
  • In inflammatory responses, induction of cytokines and other immune regulator genes in macrophages by pathogen-associated signal such as lipopolysaccharide (LPS) plays a crucial role. In this study, the gene expression profile changes by LPS treatment in the macrophage/monocyte lineage cell line RAW264.7 was investigated. A 60-mer oligonucleotide microarray of which probes target 32381 mouse genes was used. A reverse transcription-in vitro translation labeling protocol and a chemileuminescence detection system were employed. The mRNA expression levels in RAW264.7 cells treated for 6 h with LPS and the control vehicle were compared. 747 genes were up-regulated and 523 genes were down-regulated by more than 2 folds. 320 genes showing more than 4-fold change by LPS treatment were further classified for the biological process, molecular function, and signaling pathway. The biological process categories that showed high number of increased genes include the immunity and defense, the nucleic acid metabolism, the protein metabolism and modification, and the signal transduction process. The chemokine-cytokine signaling, interleukin signaling, Toll receptor signaling, and apoptosis signaling pathways involved high number of genes differentially expressed in response to LPS. These expression profile data provide more comprehensive information on LPS-target genes in RAW264.7 cells, which will be useful in comparing gene expression changes induced by extracts and compounds from anti-inflammatory medicinal herbs.

A Study on Ceramic Expression using Silhouette Technique and Decal Technique (실루엣기법과 전사기법을 활용한 융복합적 도자 표현 연구)

  • Kim, Won-Seok;Ro, Hea-Sin;Choi, Jung-Hwa
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.495-502
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    • 2017
  • Modern ceramics is exploring the expansion of the area with various expression techniques. The silhouette technique among various expressive decoration techniques is a representative expression technique of object form expression. This emphasizes the outline of the form and expresses it and omits the inner form. It gives simplicity and intensity, and awakens aesthetic sensibility and imagination. Therefore, the researcher designed the material related to the core image of the story by designing it as a silhouette technique by using the "Acorn Story" as a subject and then making the transfer paper by using the vector graphic. The transferred paper was expressed on a ceramic plate by transferring technique. Therefore, I hope that this research, beyond the merely decorative function of ceramic expression, will become a ceramic design that will awaken imagination and aesthetic sensibility in digital information age.

Emotion Recognition Based on Facial Expression by using Context-Sensitive Bayesian Classifier (상황에 민감한 베이지안 분류기를 이용한 얼굴 표정 기반의 감정 인식)

  • Kim, Jin-Ok
    • The KIPS Transactions:PartB
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    • v.13B no.7 s.110
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    • pp.653-662
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    • 2006
  • In ubiquitous computing that is to build computing environments to provide proper services according to user's context, human being's emotion recognition based on facial expression is used as essential means of HCI in order to make man-machine interaction more efficient and to do user's context-awareness. This paper addresses a problem of rigidly basic emotion recognition in context-sensitive facial expressions through a new Bayesian classifier. The task for emotion recognition of facial expressions consists of two steps, where the extraction step of facial feature is based on a color-histogram method and the classification step employs a new Bayesian teaming algorithm in performing efficient training and test. New context-sensitive Bayesian learning algorithm of EADF(Extended Assumed-Density Filtering) is proposed to recognize more exact emotions as it utilizes different classifier complexities for different contexts. Experimental results show an expression classification accuracy of over 91% on the test database and achieve the error rate of 10.6% by modeling facial expression as hidden context.

Gene Expression Profiling in C57BL/6 Mice Treated with the Anorectic Drugs Sibutramine and Phendimetrazine and Their Mechanistic Implications

  • Ko, Moon-Jeong;Choi, Hyo-Sung;Ahn, Joon-Ik;Kim, So-Young;Jeong, Ho-Sang;Chung, Hye-Joo
    • Genomics & Informatics
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    • v.6 no.3
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    • pp.117-125
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    • 2008
  • Recently, obesity has become a worldwide public health concern and the use of anorectic drugs has drastically increased. In this study, sibutramine and phendimetrazine, representative marketed anorectics, were repeatedly administered per os on a daily basis into C57BL/6 mice and the effects of these drugs on food intakes, body weight changes and gene expression profiles were monitored for up to following 7 days. Methamphetamine, which has a potent anorectic effect, was used as a positive control. Anorectic effects were sustained only for two days by phendimetrazine or methamphetamine, but for six days by sibutramine. The modulations of gene expressions in the hypothalamus and the striatum were investigated using microarrays on day 2 and day 7 post-administration, which corresponded to the anorectic period and a return of appetite respectively, for all three drugs tested. Differences in overall gene expression profiles in the stratum on day 2 for sibutramine and phendimetrazine seems to reflect difference between the two in terms of the onsets of drug tolerance. According to microarray findings, the Ankrd26 gene appears to have an important anorectic role, whereas the up-regulation of the olfaction system appeared to be involved in the drug tolerance of anorectics. The microarray data presented in this study demonstrates the usefulness of gene expression analysis for gathering information on the efficacy and safety of anorectic drugs.

A Visual Expression in Fashion Illustration using 2D Graphics (2D 그래픽스를 활용한 패션 일러스트레이션의 시각적 표현 양상)

  • Choi Jung-Hwa
    • The Research Journal of the Costume Culture
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    • v.13 no.4 s.57
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    • pp.550-563
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    • 2005
  • These days, photoshop and illustrator program can make a fashion illustration express easily and speedily, And they can also express a feeling and sensitivity of fashion illustrator by a tool and effect more than a manual work's media. The purpose of this study was to analyze a visual expression and characteristics in fashion illustration using 2D graphics. The method of this study was to analyze the fashion illustration books using 2D graphics. The visual expressions in fashion illustration using 2D graphics were as follows: Fashion illustration was based on a sketch or photography, and used a composition, drawing, mapping, painting, and manual work's re-touching. Characteristics of visual expression were as follows: First, a image composition was showed discontinuity and heterogeneity of image, new context and composition, and allowance of reality. Second, image transform was showed image overlap, body transformation by image recomposition, and deformed transformation by vector drawing. Third, hyper-real was showed precise touching, mechanical and neutral image, omission of background and focus of an object's characteristic and information. Fourth, following a realistic expression was showed simplified color, shading, dominant view point of fashion illustrator by omission, and daily lift style. Fifth, following a pictorial expression was showed non-fixed and irregular line, natural painting, and drawing and painting by conventional pictorial media. In conclusion, a photoshop and illustrator in 2D graphics will serve as a new media far fashion illustration with a manual work. And they will not only intensify a capacity as a commercial role of fashion illustration but also present a positive motive for students learning a fashion illustration.

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Genetic and Expression Analysis of the SIRT1 Gene in Gastric Cancers

  • Zhang, Cao;Song, Jae-Hwi;Kang, Young-Whi;Yoon, Jung-Hwan;Nam, Suk-Woo;Lee, Jung-Young;Park, Won-Sang
    • Journal of Gastric Cancer
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    • v.10 no.3
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    • pp.91-98
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    • 2010
  • Purpose: Silent mating-type information regulation 2 homologue 1 (SIRT1) is a nicotinamide adenine dinucleotide-dependent deacetylase. SIRT1 plays an important role in the regulation of cell death/survival and stress response in mammals. The aim of this study was to investigate whether the SIRT1 gene is involved in the development or progression of gastric cancers. Materials and Methods: SIRT1 and p53 genes in 86 gastric cancers were examined for genetic alterations by PCR-single strand conformation polymorphism sequencing, as well as SIRT1 protein expression in 170 gastric cancers by immunohistochemistry. Results: In the genetic analysis, we found SIRT1 and p53 mutations in two and 12 cases, respectively. Two missense mutations, c.599 C>T (T200I) and c.1258 G>A (E420K), were detected in the SIRT1 gene coding region. The SIRT1 and p53 mutation were found in mutually exclusive gastric cancers. The immunohistochemistry revealed that SIRT1 overexpression was found in 95 (55.9%) of 170 gastric cancers. Altered SIRT1 expression was not statistically associated with clinicopathological parameters, including tumor differentiation, location, lymph node metastasis, or p53 expression. Two cases with an SIRT1 mutation showed increased SIRT1 expression. Conclusions: These results suggest that genetic alterations and overexpression of the SIRT1 gene may contribute to gastric cancer development.

Gene filtering based on fuzzy pattern matching for whole genome micro array data analysis (마이크로어레이 데이터의 게놈수준 분석을 위한 퍼지 패턴 매칭에 의한 유전자 필터링)

  • Lee, Sun-A;Lee, Keon-Myung;Lee, Seung-Joo;Kim, Wun-Jea;Kim, Yong-June;Bae, Suk-Cheol
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.4
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    • pp.471-475
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    • 2008
  • Microarray technology in biological science enables molecular level observations and analyses on the biological phenomina by allowing to measure the RNA expression profiles in cells. Microarray data analysis is applied in various purposes such as identifying significant genes which react to drug treatment, understanding the genome scale phenomina. In drug response experiments, the microarray-based gene expression analysis could provide meaningful information. It is sometimes needed to identify the genes which shows different expression behavior for treatment group and normal group each other. When the normal group shows the medium level expression, it is not easy to discriminate the group just by expression level comparison. This paper proposes a method which selects group-wise representative values for each gene and sets the value range of the groups in order to filter out the genes with specific pattern. It also shows some experiment results.