• 한국컴퓨터그래픽스학회논문지
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• 제18권1호
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• pp.23-28
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• 2012

본 논문은 동작 포착 장비를 통해 각각 따로 포착된 얼굴과 동작 데이터의 자동 동기화 기술에 대해 다룬다. 광학식 동작 포착 기기를 사용할 때 얼굴 표정과 동작의 포착은 별도로 이루어지는 경우가 많으며, 이 경우 두 데이터 간의 동기화 수행하여야 자연스러운 애니메이션을 만들 수 있다. 본 연구에서는 두 데이터 간의 공통 부분인 목 및 얼굴의 전체적인 움직임 데이터를 기준으로 비선형 시간 변형을 통해 동기화를 수행하는 기법을 제안한다. 연구 결과를 간단한 실험 시나리오에 적용하여 기술의 효과성 여부를 검증하였다.

• 한국통신학회논문지
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• 제39A권2호
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• pp.92-99
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• 2014

본 논문은 결정 트리(Decision tree) 구조를 기반으로 한 표정 인식 방법을 제안한다. ASM(Active Shape Model)과 LBP(Local Binary Pattern)를 통해, 표정 영상들의 국소 특징들을 추출한다. 국소 특징들로부터 표정들을 잘 분류할 수 있는 판별 특징(Discriminant feature)들을 추출하고, 그 판별 특징들은 모든 조합의 각 두 가지 표정들을 분류시킨다. 분류를 통해 얻어진 정인식의 합을 통해, 정인식 최대화 기반 국소 영역과 표정 조합을 결정한다. 이 가지 분류들을 종합하여, 결정 트리를 생성한다. 이 결정 트리 기반 표정 인식률은 약 84.7%로, 결정 트리를 고려하지 않은 방법보다, 더 좋은 인식 성능을 보였다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권1호
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• pp.343-347
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• 2014

Background: Maspin expression is a potential prognostic factor for various malignancies but its relation with gallbladder cancer is unknown and needs to be investigated needs to be investigated. We therefore here focused on maspin mRNA expression in normal, gall stone disease and gallbladder cancer subjects, with particular attention to prognostic importance in individuals with malignancies. Materials and Methods: This study was carried out at the Department of Surgical Gastroenterology, King George's Medical University, Lucknow, India. Gallbladder samples from normal (n=25), gall stone disease (n=25) and cancer patients (n=38) were analysed for maspin mRNA expression by semi-quantitative reverse transcriptase PCR and quantitative real time PCR. Statistical analysis was carried out using the Students t test or ANOVA. Survival analysis was conducted according to the Kaplan-Meier method and correlations were assessed using the Pearson correlation method. p<0.05 was considered statistically significant. Results: Significant increase (p=0.028) in expression of maspin mRNA was observed in gallbladder cancer as compared to gall stone disease, whereas no expression was found in normal tissues. Significant correlation (Pearson's coefficient(r)=-0.798, p<0.0001) was observed between relative quantification of maspin mRNA and survival of cancer patients after surgery, with significantly shorter (p=0.002) survival in patients having relative quantification >1.5 as compared to those having relative quantification <1.5. Similarly, significant differences in patient survival for maspin mRNA expression was observed for stage II (p=0.025) and III (p=0.011) cancer. Conclusions: Higher expression of maspin mRNA in gallbladder cancer has prognostic significance for stage II and III cancer, which needs to be investigated further.

• 대한간호학회지
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• 제38권4호
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• pp.522-532
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• 2008

Purpose: The purpose of this study was to identify the types of anger expression in adolescent women. Methods: The Q-Methodology which provides a method of analyzing the individual's subjectivity was used. The 32 subjects classified 50 selected Q-statements on a 9 point scale to make a normal distribution. The collected data was analyzed by a PC-QUANL program. Results: Five types of anger expression in adolescent women were identified. Type I: Direct attacking expression type, Type II: Mature consideration type, Type III: Passive indirect expression type, Type IV: Avoidance conversion type, and Type V: Expression control type. Conclusion: This study revealed that different approaches of nursing intervention strategies are recommended based on the five types of anger expression and their characteristics.

• Genomics & Informatics
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• 제1권1호
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• pp.32-39
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• 2003

We present a latent variable model-based approach to the analysis of gene expression patterns, coupled with topographic clustering. Aspect model, a latent variable model for dyadic data, is applied to extract latent patterns underlying complex variations of gene expression levels. Then a topographic clustering is performed to find coherent groups of genes, based on the extracted latent patterns as well as individual gene expression behaviors. Applied to cell cycle­regulated genes of the yeast Saccharomyces cerevisiae, the proposed method could discover biologically meaningful patterns related with characteristic expression behavior in particular cell cycle phases. In addition, the display of the variation in the composition of these latent patterns on the cluster map provided more facilitated interpretation of the resulting cluster structure. From this, we argue that latent variable models, coupled with topographic clustering, are a promising tool for explorative analysis of gene expression data.

• 수산해양교육연구
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• 제20권2호
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• pp.266-285
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• 2008

This study investigated the relationship between musical understanding and expression, the purpose of music education. It also intended to present the theoretical basis of integrated early childhood music education by examining into the necessity of it as a method to help young children with musical understanding and expression. The results of the study showed that either of the understanding and expression of music should be necessary and there is a mutual promotional relationship between them. It was found out that real musical understanding can be formed not by mechanical skill, but when the relationship between notes is understood with various experiences. Therefore an integrated early childhood music education became necessary as a principle of educational method to help young children with musical understanding and musical expression. Concretely it was found out to be necessary in terms of the characteristics, interest and concern of young children, the use and development of multi intelligence and the translation of the same knowledge into the same level.

• 반도체디스플레이기술학회지
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• 제16권4호
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• pp.79-85
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• 2017

Understanding of human emotion has a high importance in interaction between human and machine communications systems. The most expressive and valuable way to extract and recognize the human's emotion is by facial expression analysis. This paper presents and implements an automatic extraction and recognition scheme of facial expression and emotion through still image. This method has three main steps to recognize the facial emotion: (1) Detection of facial areas with skin-color method and feature maps, (2) Creation of the Bezier curve on eyemap and mouthmap, and (3) Classification and distinguish the emotion of characteristic with Hausdorff distance. To estimate the performance of the implemented system, we evaluate a success-ratio with emotional face image database, which is commonly used in the field of facial analysis. The experimental result shows average 76.1% of success to classify and distinguish the facial expression and emotion.

• 한국실내디자인학회논문집
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• 제34호
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• pp.20-28
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• 2002

Tradition is defined as cultural qualities of a regional social group a race, which is transmitted from generation to generation through history. Its contents include human behavior as well as the outcomes from the human behavior and a culture is materialized by means of fullfil fundamental aspiration, in order to co-exist human being and society.This research has considered an architectural space which both show a Korean traditional architecture and modern architectural space, incliding Korean nature under a sort of cultural expression.Also, expressive qualities which are shown within a space as a medium, there is more consideration of method to embody Korean nature into an interior space.There is a subject related to traditional expression of what the real essence of tradition is. In addition, it is a matter of what the method of expression is in order to accomodate, inherit and express the pulse of tradition.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2003년도 춘계종합학술대회
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• pp.574-577
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• 2003

본 논문에서는 캐릭터 애니메이션의 효율적인 동작 제어를 위하여 익스프레션을 이용한 애니메이션을 제작하였다. 익스프레션을 이용한 애니메이션은 움직임의 표현에 있어서, 자연스러운 애니메이션을 좀더 쉽고 유용하게 표현하기 위한 방법으로 캐릭터의 동작 제어점들을 분석하여 익스프레션에서 애니메이션을 제어할 수 있는 요소를 찾아 그 식에 사용하였으며, 이것을 토대로 캐릭터의 동작을 자동적으로 제어하는 애니메이션을 구현하였다. 익스프레션에 의한 애니메이션은 간편한 조작으로 자연스럽고 현실적인 움직임을 생성할 수 있다는 익스프레션의 효율성이 장점으로 나타났지만, 애니메이터에 의한 키 프레임 방식에 의한 애니메이션보다는 어색함을 보였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 추계학술대회
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• pp.881-886
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• 2012

The paper is facial expression recognition based on the inclined face geometrical information. In facial expression recognition, mouth has a key role in expressing emotions, in this paper the features is mainly based on the shapes of mouth, followed by eyes and eyebrows. This paper makes its efforts to disperse every feature values via the weighting function and proposes method of expression classification with excellent classification effects; the final recognition model has been constructed.