• Design & Manufacturing
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• 제16권3호
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• pp.34-38
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• 2022

Regular expression pattern matching is widely used in applications such as computer virus vaccine, NIDS and DNA sequencing analysis. Hardware-based pattern matching is used when high-performance processing is required due to time constraints. ReCPU, SMPU, and REMP, which are processor-based regular expression matching processors, have been proposed to solve the problem of the hardware-based method that requires resynthesis whenever a pattern is updated. However, these processor-based regular expression matching processors inefficiently handle repetitive operations of regular expressions. In this paper, we propose a new instruction set to improve the inefficient repetitive operations of ReCPU and SMPU. We propose REMPi, a regular expression matching processor that enables efficient iterative operations based on the REMP instruction set. REMPi improves the inefficient method of processing a particularly short sub-pattern as a repeat operation OR, and enables processing with a single instruction. In addition, by using a down counter and a counter stack, nested iterative operations are also efficiently processed. REMPi was described with Verilog and synthesized on Intel Stratix IV FPGA.

• International Journal of Contents
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• 제9권4호
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• pp.30-34
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• 2013

Internet banner advertisement has become recognized as an important media, and its influence has been increasing. The merits of Internet banner advertisement are diversity and consumer immersion. Especially, by using various types and visual expression methods, the automobile Internet banner advertisement has evolved into what attracts curiosity and interest of potential consumers. Thus, to find efficient communication method for automobile Internet banner advertisement, this study, by comprehensively analyzing various advertisement methods in previous researches, suggested an advertisement type and a visual expression method suitable to automobile Internet banner advertisement. Four types of automobile Internet banner advertisement are production form, production purpose, expression form, and advertisement area. Four visual expression methods are action form, image, change form, and moving form. And, through case analysis, this study also examined the value of the newly suggested method.

• 한국실내디자인학회논문집
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• 제14권6호
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• pp.3-11
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• 2005

With development of digital technology and build-up of global network in the 21st century, Korea has recklessly accepted Western information and culture in recent years, thus causing damages to out identity. In the situation, restoration and development of traditions in a modern way will contribute to the creation of contemporary interiors. This study has analyzed and assessed the process through which traditional decorative elements have applied to contemporary interior decorations over the past ten years with a view to identify the trend of expressing traditional elements in comtemporary interiors. Designs that have applied traditional elements in a transfigure expression method amounted to 77 pieces, accounting for $43\%$ of the total investigated 178 designs, which was followed by 48 designs ($27\%$) of metaphor expression method and 39 designs ($22\%$) of symbol expression method, which express the tradition as interpreted by the designer. Designs that have adopted direct expression method amounted to no more than 14 pieces, accounting only for $8\%$ of the total designs. This result suggests that transformative, metaphoric and symbolic expressions that simplify or transform the original forms we more frequently used In the applications of traditional elements to modern interiors rather than directive expression that reproduces the original form as it was.

• Archives of Pharmacal Research
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• 제18권6호
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• pp.376-380
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• 1995

Monocyte adhesion involves specific cell surface receptors, integrins and results in cell differentiation. We have studied expression and regulation of integrin .${\alpha}_5{\beta}_1$ during differntiation of U937 as in vitro model. To determine expression of integrin ${\alpha}_5{\beta}_1$ during differentiation of U937 as in vitro model. To determine expression of integrin ${\alpha}_5{\beta}_1$ genes by RT-PCR (reverse transcription and polymerase chain reaction) method. We determined expression of integrin ${\alpha}_5{\beta}_1$ genes by RT-PCE (reverse transcription and polymerase chain reaction) method. We found that expression of integrin .alpha.5.betha.1 was greatly increased during PMA-induced differentiation of U937 cells and also found that PMA-induced expression of integrin ${\alpha}_5{\beta}_1$ was inhibited by colchicine, microtubule depoly merizing agent. These results indicate that microtubular integrity is associated with expression of integrin. ${\alpha}_5{\beta}_1$ during PMA-induced differentiation of U937 cells.

• 한국지능시스템학회논문지
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• 제17권5호
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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.

• 한국의상디자인학회지
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• 제14권4호
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• pp.99-111
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• 2012

This study intends to explore the collaborative expression in the modern fashion design by analyzing the collaboration of motifs symbolizing Korean cultural identity. As for the data research, in order to examine the expressional objects of collaboration in the collections of the fashion designers from Korea and overseas who have applied the Korean culture among their collections posted on the Internet sites, www.firstview.com, and www.style.com from 2005 to 2012 were collected for analysis. 923 pictures used in the analysis sheet. As for the research method, the content analysis method was used. In the modern fashion design, the collaborative expression in the motifs symbolizing Korean cultural identity are limited to tangible expression, intangible expression, integrated expression. The results of this study were as follows. First, in the tangible expression, traditional tangible assets are used in the shapes, items, colors, materials, patterns and details to symbolize uniquely Korean image. The intangible expression, the applicability for Korean intangible assets include the master's (intangible cultural assets) and the craftsmanship of the modern designers being collaborated onto the contemporary customs to express the Korean traditional culture in a realistic or an abstract trend. The hybride expression, it is to represent Korean thoughts and values using the tangible elements. Second, The expressivity of collaboration of each year mostly shows integrated expression, intangible expression and tangible expression were shown respectively. The trend of seasonal collaboration expressivity was muchly the integrated expression in most seasons, and intangible expression and tangible expression followed respectively. It is recognizable that the expressivity of collaboration of each designer was; integrated expression was muchly shown in Lie Sang Bong and Lee Young Hee's works, Duri Jung showed much of intangible expression, and much tangible expressivity was shown in Carolina Herrera.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권1호
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• pp.43-50
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• 2016

본 논문에서는 ASM(Active Shape Model) 특징점(Landmark)을 이용하여 정밀한 얼굴영역을 획득하고, 외형기반 접근법으로 표정을 인식하는 방법에 대하여 제안한다. 외형기반 표정인식은 EHMM(Embedded Hidden Markov Model) 및 이진패턴 히스토그램 특징과 SVM(Support Vector Machine)을 사용하는 알고리즘으로 구성되며, 제안 방법의 성능평가는 공인 CK 데이터베이스와 JAFFE 데이터베이스를 이용하여 수행되었다. 더불어, 성능비교는 기존의 눈 거리 기반의 얼굴 정규화 방법과 비교를 통하여 수행되었고, 또한 ASM 전체 특징점 및 변형된 특징을 SVM으로 인식하는 기하학적 표정인식 방법론과 성능비교를 수행하였다. 실험 결과, 제안 방법은 거리기반 얼굴정규화 영상을 사용한 방법보다 CK 데이터베이스 및 JAFFE 데이터베이스 경우, 최대 6.39%와 7.98%의 성능향상을 보였다. 또한, 제안 방법은 기하학적 특징점을 사용한 방법보다 높은 인식 성능을 보였으며, 이로부터 제안하는 표정인식 방법의 효용성을 확인하였다.

• 한국콘텐츠학회논문지
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• 제7권9호
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• pp.44-53
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• 2007

본 연구의 목적은 인터넷광고 16개 유형을 대상으로 제품별 표현방법, 표현효과 및 태도 등을 분석하여 보다 효과적인 표현전략을 제안하는데 있다. 이를 위해 문헌연구를 통해 인터넷광고의 유형, 개념 및 특성을 확인하였고, 인터넷광고의 태도 및 표현방법에 관한 선행연구를 검토하였다. 또한 본 연구에서는 베너광고, 스폰서쉽광고, 삽입광고, 팝업광고 등을 띠광고, 도움광고, 틈새광고, 튐광고 등의 한글로 제안 하였다. 연구결과 제품 및 서비스 유형에 따라 공통적인 표현전략이 존재하기 때문에 유형별로 표현방법을 범주화시킬 필요가 있다. 형태, 위치, 크기, 표현, 관점, 구성, 시간요소, 판매지향점, 소구점 요인에서는 상호 유사한 표현방법을 구사하고, 카피 요인 및 소구에서는 유형별로 각기 다르게 표현해야 할 것이다. 또한 기업은 인터넷광고의 표현전략 중 소구를 할 때 자신의 업종에 대한 이미지를 강하게 심어줄 수 있는 주제를 선정하고 유형에 따라 적합한 표현을 하여야 할 것이다.

• 정보처리학회논문지A
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• 제14A권2호
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• pp.85-90
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• 2007

본 논문은 애니메이터로 하여금 표정공간으로부터 임의의 표정상태 수 개를 선택하도록 하면, 최적의 표정전이경로를 자동적으로 설정하도록 해줌으로써, 얼굴 표정 애니메이션을 실시간적으로 생성하거나 표정 제어가 가능하도록 하기 위한 기법을 기술한다. 표정공간은 약 2500개의 얼굴 표정상태 간의 거리를 구하고, 다차원 스케일링 기법을 사용하여 2차원 평면에 분포시킴으로서 형성된다. 표정공간에서 최적의 표정전이경로를 설정하기 위해서는 임의의 얼굴 표정상태를 기준으로 사분면처럼 4개의 영역으로 나눈다. 그리고 각 영역별로 최단거리에 존재하는 열굴 표정상태를 결정하고, 그 중에서 가장 가까운 얼굴 표정상태를 선택하여 전이시키고, 전이가 끊어진 얼굴 표정상태에서는 두 번째, 세 번째 혹은 네 번째로 가까운 얼굴 표정상태를 선택하여 순서대로 전이시킴으로써 완전한 표정전이경로가 결정된다. 그리고 애니메이터가 표정공간에서 대표적인 수 개의 표정상태만을 선택해주면 시스템은 자동적으로 최적의 표정전이경로를 설정하여 준다. 본 논문은 애니메이터들로 하여금 본 시스템을 사용하여 얼굴 애니메이션을 생성하거나 표정 제어를 수행하도록 하였으며, 그 결과를 평가한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.1981-1995
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• 2021

When a person tries to conceal emotions, real emotions will manifest themselves in the form of micro-expressions. Research on facial micro-expression recognition is still extremely challenging in the field of pattern recognition. This is because it is difficult to implement the best feature extraction method to cope with micro-expressions with small changes and short duration. Most methods are based on hand-crafted features to extract subtle facial movements. In this study, we introduce a method that incorporates optical flow and deep learning. First, we take out the onset frame and the apex frame from each video sequence. Then, the motion features between these two frames are extracted using the optical flow method. Finally, the features are inputted into an improved MobileNetV2 model, where SVM is applied to classify expressions. In order to evaluate the effectiveness of the method, we conduct experiments on the public spontaneous micro-expression database CASME II. Under the condition of applying the leave-one-subject-out cross-validation method, the recognition accuracy rate reaches 53.01%, and the F-score reaches 0.5231. The results show that the proposed method can significantly improve the micro-expression recognition performance.