• Science of Emotion and Sensibility
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• v.17 no.4
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• pp.61-70
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• 2014

Verbal communication has limits in the interaction between robot and man, and therefore nonverbal communication is required for realizing smoother and more efficient communication and even the emotional expression of the robot. This study derived 7 pieces of nonverbal information based on shopping behavior using the robot designed to support shopping, selected facial expression as the element of the nonverbal information derived, and coded face components through 2D analysis. Also, this study analyzed the significance of the expression of nonverbal information using 3D animation that combines the codes of face components. The analysis showed that the proposed expression method for nonverbal information manifested high level of significance, suggesting the potential of this study as the base line data for the research on nonverbal information. However, the case of 'embarrassment' showed limits in applying the coded face components to shape and requires more systematic studies.

• Asia pacific journal of information systems
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• v.29 no.3
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• pp.359-381
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• 2019

Social networking services (SNSs) have become important and popular tools for not only presenting self-image but also sharing travel information. This study adopted self-image expressions to understand tourists' intentions to share travel information and behavioral changes in SNSs. To enhance understanding tourists' intention and behavior, the current study suggests a research model based on motivations for self-image expression (i.e., creativity, altruism and social relationship). This current study empirically resulted in the importance of users' creativity, altruism and social relationship in SNS, which leads to the intention and behavioral changes to share travel information. In addition, altruism moderated the negative effect of creativity on self-image expression as well as the positive effect of the social relationship on self-image expression. Based on the result of this study, the current study bears some implications in a theoretical and practical context.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.1757-1760
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• 2012

Breast cancer is a major cause of death in women worldwide. Mammary tissue expressing xenobiotic metabolizing enzymes metabolically activate or detoxify potential genotoxic breast carcinogens. Deregulation of these xenobiotic metabolizing enzymes is considered to be a major contributory factor to breast cancer. The present study is focused on the expression of the xenobiotic metabolizing gene, CYP1A1, in breast cancer and its possible relationships with different risk factors. Twenty five tumors and twenty five control breast tissue samples were collected from patients undergoing planned surgery or biopsy from different hospitals. Semi-quantitative reverse transcriptase polymerase chain reaction (RT-PCR) and western-blotting were used to investigate the expression of CYP1A1 in breast cancer control and disease samples. mRNA expression of CYP1A1 was down-regulated in 40% of breast tumor samples. Down-regulation was also observed at the protein level. Significnat relations were noted with marital status and tumour grade but not histopathological type. In conclusion, CYP1A1 protein expression was markedly reduced in tumor breast tissues samples as compared to paired control tissue samples.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.707-711
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• 2007

Microarray gene expression data is believed to show the functions of living organism through the gene expression values. We have studied a method to get the informative genes from the microarray gene expression data. There are several ways for this. In recent researches to get more sophisticated and detailed results, it has used the intelligence information theory like fuzzy theory. Some methods are to add fudge factors to the significance test for more refined results. In this paper, we suggest a method to get informative genes from microarray gene expression data. We combined the difference of means between two groups and the fuzzy membership degree which reflects the variance of the gene expression data. We have called our significance test the Fuzzy Information method for Gene Expression data(FIGER). The FIGER calculates FIGER variation ratio and FIGER membership degree to show how strongly each object belongs to the each group and then it results in the significance degree of each gene. The FIGER is focused on the variation and distribution of the data set to adjust the significance level. Out simulation shows that the FIGER-test is an effective and useful significance test.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1760-1763
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• 2002

In this paper the authors present their attempt io realize a motion pattern detector that finds specified sequence of image from input motion image. The detector is intended to be used for time-varying facial expression understanding. Needless to say, facial expression understanding by machine is crucial and enriches quality of human machine interaction. Among various facial expressions, like blinking, there must be such expressions that can not be recognized if input expression image is static. Still image of blinking can not be distinguished from sleeping. In this paper, the authors discuss implementation of their motion pattern detector and describe experiments using the detector. Experimental results confirm the feasibility of the idea behind the implemented detector.

• Reproductive and Developmental Biology
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• v.34 no.1
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• pp.55-62
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• 2010

Matrix metalloproteinases (MMP) play important roles in extracellular matrix (ECM) remodeling during ovarian follicular development, oocytes development and ovulation. In an attempt to investigate the effect of MMP activation in development cumulus-oocytes complexes, we examined the localization and expression of MMP, and monitored MMP expression profile. Cumulus-oocytes complexes were collected and matured in vitro for 24 hr, 36 hr and 48 hr. A mRNA expression of MMP-2, MMP-9, TIMP-2 and TIMP-3 was detected in all culture medium regardless of CC, DC and CDCs. Activity of MMP-2 in the DC progressively was increased from 24 hr to 48 hr. But MMP-9 was not detected in all culture medium. The localization of MMP-2 was also measured by immunohistochemistry analysis. The MMP-2 and TIMP-2 was detected in cumulus cell and oocyte zone pellucida. Expression of MMP-2 protein in the COCs was progressively increased from 24 hr to 48 hr. However, MMP-9 protein was progressively decreased from 24 hr to 48 hr. And TIMP-2 protein was most highly expressed in the CDCs 36 hr. Expression of TIMP-3 protein in the CDCs was progressively increased from 24 hr to 48 hr. In conclusion, these results suggest that MMP-2 plays a role in maintaining normal maturation and development by controlling the ECM inhibitor concentration on cumulus cell and oocytes.

• ETRI Journal
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• v.35 no.6
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• pp.1021-1028
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• 2013

Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis challenge (FERA2011). In that competition, the Local Gabor Binary Pattern Histogram Sequence descriptor showed the most powerful description capability. In this paper, we introduce hybrid facial representations for facial expression recognition, which have more powerful description capability with lower dimensionality. Our descriptors consist of a block-based descriptor and a pixel-based descriptor. The block-based descriptor represents the micro-orientation and micro-geometric structure information. The pixel-based descriptor represents texture information. We validate our descriptors on two public databases, and the results show that our descriptors perform well with a relatively low dimensionality.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.236-241
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• 2008

This paper discusses a Korean-English machine translation method using expression patterns. The expression patterns are defined for the purpose of aligning Korean expressions with appropriate English expressions in semantic and expressive senses. This paper also argues to develop a new Korean syntax analysis method using agglutinative characteristics of Korean language, expression pattern concept, sentence partition concept, and incorporation of semantic structures as well in the parsing process. We defined a simple Korean grammar to show the possibility of new Korean syntax analysis method.

• Annual Conference of KIPS
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• 2022.11a
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• pp.818-820
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• 2022

The keyword 'healing' is essential to the competitive society and culture of Koreans. In addition, as the time at home increases due to COVID-19, the demand for indoor healing services has increased. Therefore, this thesis analyzes the user's facial expression so that people can receive various 'customized' healing services indoors, and based on this, provides lighting, ASMR, video recommendation service, and facial expression recording service.The user's expression was analyzed by applying the ensemble algorithm to the expression prediction results of various CNN models after extracting only the face through object detection from the image taken by the user.

• Korean journal of communication and information
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• v.62
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• pp.74-94
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• 2013

The purpose of the thesis is to find out the correlation between Chinese 'Personal Opinion Expression on Offline' and 'Personal Opinion Expression on Online'(Hypothesis 1) and between 'Save Face' and 'Personal Opinion Expression on Offline', 'Personal Opinion Expression on Online'(Hypothesis 2). It also analyzes and verifies the impact of 'Save Face' among 'Personal Opinion Expression on Offline', and 'Personal Opinion Expression on Online'(Hypothesis 3). The results of this study shows that correlation between 'behavior of opinion expression on Offline' and 'behavior of opinion expression on Online'. Chinese people who express their views in the public, tend to express their opinions on the Online. The thesis also covers that 'Silence' can be caused not only by 'Personal Fear of Isolation', but also by 'Save Face' upon 'The Spiral of Silence a Theory' by Elisabeth Noelle-Neumann, and prove that 'Save Face' relatively affects 'People talk about their observation'. It also confirms that 'Save Face in Open Space', a factor of 'Save Face's, performs a partial channel on 'Personal Opinion Expression on Online' and 'Personal Opinion Expression on Offline'.