• Design & Manufacturing
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• v.16 no.3
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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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• v.9 no.4
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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.

• Korean Institute of Interior Design Journal
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• v.14 no.6 s.53
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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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• v.18 no.6
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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.

• 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.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.4
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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.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.1
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• pp.43-50
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• 2016

This paper introduces an appearance-based facial expression recognition method using ASM landmarks which is used to acquire a detailed face region. In particular, EHMM-based algorithm and SVM classifier with histogram feature are employed to appearance-based facial expression recognition, and performance evaluation of proposed method was performed with CK and JAFFE facial expression database. In addition, performance comparison was achieved through comparison with distance-based face normalization method and a geometric feature-based facial expression approach which employed geometrical features of ASM landmarks and SVM algorithm. As a result, the proposed method using ASM-based face normalization showed performance improvements of 6.39% and 7.98% compared to previous distance-based face normalization method for CK database and JAFFE database, respectively. Also, the proposed method showed higher performance compared to geometric feature-based facial expression approach, and we confirmed an effectiveness of proposed method.

• The KIPS Transactions:PartA
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• v.14A no.2
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• pp.85-90
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• 2007

This paper presents a facial animation and expression control method that enables the animator to select any facial frames from the facial expression space, whose expression transfer paths the system can setup automatically. Our system creates the facial expression space from approximately 2500 captured facial frames. To create the facial expression space, we get distance between pairs of feature points on the face and visualize the space of expressions in 2D space by using the Multidimensional scaling(MDS). To setup most suitable expression transfer paths, we classify the facial expression space into four field on the basis of any facial expression state. And the system determine the state of expression in the shortest distance from every field, then the system transfer from the state of any expression to the nearest state of expression among thats. To complete setup, our system continue transfer by find second, third, or fourth near state of expression until finish. If the animator selects any key frames from facial expression space, our system setup expression transfer paths automatically. We let animators use the system to create example animations or to control facial expression, and evaluate the system based on the results.

• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.44-53
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• 2007

The purpose of this study is to identify the most efficient expression method by analyzing advertising expression method by 16 types of product in internet advertising. First of all, It made inquiries about expression method and attitude of internet advertising for this study and identified a conception, characteristics, and types of internet advertising through literature reviews about internet advertising. This study offered expression the korean alphabet, hangout about banners ads, sponsorship ads, interstitial ads and pop-up ads. This study analyzed advertising expression, advertising effectiveness and advertising attitude by 16 types of product in internet advertising. In conclusion, the marketers of internet advertising have to effort to make internet advertisements that suit their advertising purpose by using the right expression method of internet advertising because they know internet advertising are quite different the expression method, advertising effectiveness, and advertising attitude. And they have to convert negative attitude or medium size attitude of internet advertising into positive attitude in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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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.