• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.8
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• pp.88-100
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• 1999

Detecting human face and facial landmarks automatically in an image is as essential step to a fully automatic face recognition system. In this paper, we present a new approach to detect automatically face and its eyes of input image with scale and rotation variations of faces by using an intensity based template matching with a single log-polar face template. In a template-based matching it is necessary to normalize the scale changes and rotations of an input image to a template ones. The log-polar mapping which simulates space-variant human visual system converts scale changes and rotations of input image into constant horizontal and cyclic vertical shifts in the output plane. Intelligent use of this property allows us to shift of the candidate log-polar faces mapped at various fixation points of an input image to be matched to a template over the log-polar plane. Thus, the proposed method eliminates the need of adapting multitemplate and multiresolution schemes, which inevitably give rise to intensive computation involved to cope with scale and rotation variations of faces. Through this scale and rotation involved to cope with scale and method can lead to detecting face and its eyes simultaneously. Experimental results on a database of 795 images show over 98% detection rate.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.45 no.4
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• pp.415-422
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• 2019

Human epidermal stem cells(ESCs) residing in the basement membrane of the skin have an important role in maintenance of skin homeostasis of epidermal layer. Although, ESCs provide new cells to repair damaged tissue in response to tissue injury, subsets of stem cells remain in the quiescent state protected from differentiation and senescence for prolonged survivals. In this perspective, the stem cell niche, which is specific microenvironment composed of niche cells and an extracellular matrix(ECM), supplies the relevant signal to save stem cells from microenvironmental damages. The expression of stemness marker on the surface of ESCs contributes to the attachment on their ECM of the basement membrane, which lead to growth potential and apoptotic resistance against environmental stimuli. In this study, we observed that UV irradiation, a major factor of environmental stimuli, reduced the expression of α2, β1 and α6 integrin in ESCs. Rhus Semialata M extract(RSE) showed inhibitory effect on the UVB-induced reduction of integrin expression. Furthermore, RSE could upregulate the expression of Col-IV and Laminin, which contribute to the attachment of ESCs. These results indicated that RSE could be a potent ingredient for the protection of ESCs from UV irradiation by increasing the expression of integrin and substrate ECM components at their niche.

• Sijohaknonchong
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• v.22
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• pp.143-171
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• 2005

Sip and Byul-Gok (New tunes), as folks musics, are musical concepts opposite to that of the Court musics. They have the tunes. typical and universal. and Byul-Gok for singing. has the words in which the properties of melodies in the structures of compositions are reflected harmoniously. The Song. or Shiga. in Koryo-Sa, History of Koryo. Acjee and Acjanggasa. named ByulGok. is divided into two types. according to the characteries of the forms.: Koryo Sokyo. or the folk songs in Koryo. such as Chengsanbylulgok. and Segyoungbyulgok. and Kyonggichega, or nobility songs in Koryo and Chosen Dynasty. such as Hallimbyulgok. Kwandongbyulgok. and Jucgyebyulgok. In addition. Gasa. or the nobility and folk songs in Chosen Dynasty. such as K wandongbyulgok. also has the title. Byul-Gok. Even though these types of the songs have the same tittle. Byul-Gok, it is not appropriate that Byul-Gok is used as a term described as a branch of the literature: in light of music. they have the properties in common in the sense that they are opposite to the Court music. but. in light of literature. their forms are very different from one another. Therefore, it is appropriate that they are classified according to the characteristics of the forms, winters, the ideology of people who enjoy them, and periods: Sokyo, Kyonggichega, and Gasa. Byul-gok means not only the folks songs opposite to the court musics, but also the songs by setting words to the melodies present. Orignal tunes and their new tunes are not different musical compositions, but the same ones with the melodies which Korean acquired transcendentally. It is general tendency, at those times, that after compositions were made, words are set to them. Such words represent the politic thought in which courtesy and music are considered important. and the spirit with which the ruler and the people enjoy together.

• Korean journal of communication and information
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• v.74
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• pp.7-37
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• 2015

The study explores how the discourses on game addiction, which emphasize diligence and sincerity for labor and self-control, and professional gamers, who are trapped in pleasures of playing games in the virtual world, cohabit in Korean society. Progamers have grown from entertainment industry enlarged along with the current of the economic 'postmodernization,' mentioned by Hardt and Negri(1997; 2001; 2004). Hardt and Negri have elaborated on the economic postmodernization with the notion 'immaterial labor,' which blurs the line between economic (instrumental) actions and humane qualities as well as pertains to the potentiality of resistant practices against the power of modernity. From this perspective, progamers' labor is understood as 'affective labor,' an aspect of immaterial labor with the potentiality of resistance. However, meticulous examination of progamers' labor in this study reveals that progamers control their affects systematically, strategically, and rationally for their materialistic success. Progamers, while performing postmodern mode of labor, are subordinate to modern work ethics, which lead them to lose the potentiality of resistance. Consequently, while the discourses on game addiction and progamers outwardly form sharp contrast to each other, the two indeed are placed in tandem in the vein of modern work ethics of Protestantism.

• Information Systems Review
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• v.16 no.3
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• pp.135-160
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• 2014

Most Social Network Service (SNS) provide online chat, video and file sharing, blogging and others. Because of this advantage, people depend on SNS to communicate with others. However, recently SNS encourage people to reveal too much information broadly so SNS users are concerned about privacy invasion and data spill. They also feel fatigue in process of touching people they don't know while using SNSs. That is the reason why they attempt to switch from opened SNS to Closed SNS. Therefore, the purpose of this study is to empirically investigate and analyze the effect of the factors on the SNS users' switching behavior when using SNS. To accomplish this purpose, this research adopted "Push-Pull-Mooring (PPM)" framework. The PPM is proposed by population geologist, who used it to explain the incentives of demographic migration. Following PPM model, this research empirically examines the three categories of antecedents for SNS switching intention toward closed SNS: push (i.e., weak connection, privacy concern, relative complexity), pull (i.e., enjoyment, belongingness, peer influence), mooring (i.e., SNS fatigue, user resistance) factors. The survey was conducted for 285 users on SNS communities in Korea. The results of this study are as follows; First, wear connection and privacy concern are significantly related to SNS switching intention. Second, enjoyment and belongingness are significantly related to SNS switching intention. Finally, the results show that SNS fatigue has a moderating effect on the links between push factors and SNS switching Intention. Also, user resistance has a moderating effect on the links between pull factors and SNS switching Intention. These findings contribute to the SNS literature both theoretically and practically.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.4
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• pp.169-181
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• 2018

Under the constantly intensifying global competition environment, many companies are exploring new business opportunities in the field of social innovation using creating shared value. In seeking social innovation, it is a key starting point of social innovation to clarify the problem to be solved and to grasp the cause of the problem. Among the many problem solving methodologies, design thinking is getting the most attention recently in various fields. Design Thinking is a creative problem solving method which is used as a business innovation tool to empathize with human needs and find out the potential desires that the public does not know, and is actively used as a tool for social innovation to solve social problems. However, one of the difficulties experienced by many of the design thinking project participants is that it is difficult to analyze the observed data efficiently. When analyzing data only offline, it takes a long time to analyze a large amount of data, and it has a limit in processing unstructured data. This makes it difficult to find fundamental problems from the data collected through observation while performing design thinking. The purpose of this study is to integrate qualitative data analysis and quantitative data analysis methods in order to make the data analysis collected at the observation stage of the design thinking project for social innovation more scientific to complement the limit of the design thinking process. The integrated methodology presented in this study is expected to contribute to innovation performance through design thinking by providing practical guidelines and implications for design thinking implementers as a valuable tool for social innovation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4B
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• pp.566-575
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• 2010

In recent, artificial immune system has become an important research direction in the anomaly detection of networks. The conventional artificial immune systems are usually based on the negative selection that is one of the computational models of self/nonself discrimination. A main problem with self and non-self discrimination is the determination of the frontier between self and non-self. It causes false positive and false negative which are wrong detections. Therefore, additional functions are needed in order to detect potential anomaly while identifying abnormal behavior from analogous symptoms. In this paper, we design novel network attack detection and response schemes based on artificial immune system, and evaluate the performance of the proposed schemes. We firstly generate detector set and design detection and response modules through adopting the interaction between dendritic cells and T-cells. With the sequence of buffer occupancy, a set of detectors is generated by negative selection. The detection module detects the network anomaly with a set of detectors and generates alarm signal to the response module. In order to reduce wrong detections, we also utilize the fuzzy number theory that infers the degree of threat. The degree of threat is calculated by monitoring the number of alarm signals and the intensity of alarm occurrence. The response module sends the control signal to attackers to limit the attack traffic.

• Journal of KIISE:Databases
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• v.41 no.4
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• pp.249-255
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• 2014

Copy number variations(CNVs) are a recently recognized class of human structural variations and are associated with a variety of human diseases, including cancer. To find important cancer genes, researchers identify novel CNVs in patients with a particular cancer and analyze large amounts of genomic and clinical data. We present a tool called CNVDAT which is able to detect CNVs from NGS data and systematically analyze the genomic and clinical data associated with variations. CNVDAT consists of two modules, CNV Detection Engine and Sequence Analyser. CNV Detection Engine extracts CNVs by using the multi-resolution system of scale-space filtering, enabling the detection of the types and the exact locations of CNVs of all sizes even when the coverage level of read data is low. Sequence Analyser is a user-friendly program to view and compare variation regions between tumor and matched normal samples. It also provides a complete analysis function of refGene and OMIM data and makes it possible to discover CNV-gene-phenotype relationships. CNVDAT source code is freely available from http://dblab.hallym.ac.kr/CNVDAT/.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.447-458
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• 2010

Time expressions are a very important form of information in different types of data. Thus, the recognition of a time expression is an important factor in the field of information extraction. However, most previously designed systems consider only a specific domain, because time expressions do not have a regular form and frequently include different ellipsis phenomena. We present a two-level recognition method consisting of extraction and transformation phases to achieve generality and portability. In the extraction phase, time expressions are extracted by atomic time units for extensibility. Then, in the transformation phase, omitted information is restored using basis time and prior knowledge. Finally, every complete atomic time unit is transformed into a normalized form. The proposed system can be used as a general-purpose system, because it has a language- and domain-independent architecture. In addition, this system performs robustly in noisy data like SMS data, which include various errors. For SMS data, the accuracies of time-expression extraction and time-expression normalization by using the proposed system are 93.8% and 93.2%, respectively. On the basis of these experimental results, we conclude that the proposed system shows high performance in noisy data.

• Cartoon and Animation Studies
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• s.18
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• pp.37-56
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• 2010

This paper focalizes on the 'evolution' of monster animation and . Actually, Many characters' 'Evolution' is a very powerful convention of Japanese genre animation. Lots of young people feel a huge pleasure about character's evolution. It is a fantastic spectacle to boys and girls. The first characteristic point of characters' evolution is growing-up body to an adult. For example, magical girls genre shows a woman's sexy body. This scene gives a sexual fantasy to young girl spectators, a voyeuristic visual pleasure to young boy spectators. The second point is that a transforming-body gains some super power or magical power. The third point is that a great many characters is in one text. In , characters' numbers go on increasing through 6 ways-hybrid type, mutant-reiteration type, metamorphosis type, simple-grownup type, narrative type, multiple evolution type. The evolution of has to pay attention to only one transforming way. Most Digimon characters are becoming to a human-weapons cyborg. In my opinion, this is very dangerous phenomenon with a political ideology.