• Journal of the Korean Geographical Society
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• v.42 no.3 s.120
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• pp.421-433
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• 2007

The Metropolitan Areas have experienced the phenomenon that some of their peripheral parts emerged as a core business area because of the relocation of residential and economic activities from the central area. An important phenomenon in the spatial transformation of metropolitan area is the weakening of centrality in the center and the increasing strength of centrality in the periphery. This paper examined the changing patterns of spatial interaction in the Seoul Metropolitan area through an analysis on outflow trips. Outflow trip by Seoul decreased in nearby regions and increased in remote regions, however as times goes by, the spatial patterns of the largest outflow trip destination were diversified and the rate of outflow trip to Seoul has decreased in the periphery regions. This research reveals that the most remarkable changes of spatial interactions occurred nearby regions of Seoul and also the changes of outflow trip by Seoul was also distinct. In relation to this, the results arising from the similarity analysis by the variance of trip clearly show the changing spatial patterns of interaction in Yongin, Seoul, Suwon and Hwaseong.

• The Research Journal of the Costume Culture
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• v.7 no.5
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• pp.1-18
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• 1999

This study concerns the role of costume in Shakespeare\`s history plays from the viewpoint of the role theory. The term “role” has been used to represent the behavior expected of the occupant of a given position or status. A specific role can not be successfully performed without the aid of the costumes. Costumes are adopted in relation with a specific role. The term ‘role’ had been borrowed from the drama. The similarity between the role on the stage and the role of the social man had been recognized. The similarity between the role on the stage and the role of the social man had been recognized. The typical examples in which the costume help to make access to a specific role and can be effectively exploited for the performance of the role are manifested in the history plays of Shakespeare. Thus, our goal in this study is to analyze the role of costume which appears in Shakespeare\`s history plays from the viewpoint of the role theory. The role of social status and position reflects sex, age, occupation, class, economic position of the characters. In his works, the crown and the mace represented not only the throne but also a previllege and supreme position. The situation role of costume could be widely used for visualizing the psychological situation and external environments of the characters on the stage. The disguise role hided one\`s status, thereby makes possible acting other\`s position. The costume also could symbolize the social status, position, rank, occupation, and the situation, and functioned as a media fo delivering messages to others. The costume performed the role of the physical and psychic protection, and provided its wearer with consolation and peaceful mind. The costume reflected the custom of a society through its wearing configuration. The costume (or a uniform) adopted by a group notified the characteristics and the expectation of action of the group to others. The results obtained from this study can provide useful cues for understanding the role action in the social structure. This kind of understanding reveals the costume phenomena in real life, allows one to perform roles properly and efficiently, and opens our insight on the overall aspects of the costume culture.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.8
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• pp.1698-1706
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• 1997

In this paper, we envisioned a multimedia object recognition system processing and combinig information from all available sources, such as 2-D, 3-D, color and sound data. Out of the overall system, we proposed 3-D information extraction and object recognition methods. Firstly, surfaces are classified by z-gradient from the range data, surface features are extracted using the intersection of normal vectors. Also feature relationship such as intersection angle and distance is established between the surfaces. Secondly, recognition is accomplished by matching process which is improtant step in the image understanding systems. Matching process is very improtant procedures because of more general and more efficient method is needed in the field of multimedia sytem. Therefore, we focused the proposal of matching process and in this article, first of all, we deal with the matching process of the 3-D object. Similarity measures are calculated.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.2
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• pp.91-100
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• 2021

PURPOSE: This study analyzed the trends and characteristics of shoulder rehabilitation research through keyword analysis, and their relationships were modeled using text mining techniques. METHODS: Abstract data of 10,121 articles in which abstracts were registered on the MEDLINE of PubMed with 'shoulder' and 'rehabilitation' as keywords were collected using python. By analyzing the frequency of words, 10 keywords were selected in the order of the highest frequency. Word-embedding was performed using the word2vec technique to analyze the similarity of words. In addition, the groups were classified and analyzed based on the distance (cosine similarity) through the t-SNE technique. RESULTS: The number of studies related to shoulder rehabilitation is increasing year after year, keywords most frequently used in relation to shoulder rehabilitation studies are 'patient', 'pain', and 'treatment'. The word2vec results showed that the words were highly correlated with 12 keywords from studies related to shoulder rehabilitation. Furthermore, through t-SNE, the keywords of the studies were divided into 5 groups. CONCLUSION: This study was the first study to model the keywords and their relationships that make up the abstracts of research in the MEDLINE of Pub Med related to 'shoulder' and 'rehabilitation' using text-mining techniques. The results of this study will help increase the diversifying research topics of shoulder rehabilitation studies to be conducted in the future.

• Journal of dental hygiene science
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• v.5 no.4
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• pp.245-250
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• 2005

This study was executed from June first to 30th. 2005. The target was first and second graders of Bok-Hyun elementary school and their mothers. The total of participants was 275 persons and the component ratio was 135 first graders and 140 second graders, also 82 boys and 193 girls. They answered to the question sheet by writing out with their own hands. Among the 300 question sheets that were answered, 275 sheets were analyzed, excepting 25 sheets that got poor answer. The results were as follows; (1) About the behavior of mothers and their children for oral health, In mothers' case, 68.8% of them answered that they brush teeth more than 3 times a day and 31.3% answered that they brush teeth less than 2 times a day, so those who brush teeth more than 3 times were more than those who brush teeth less than 2 times In children's case, on the contrary, 14.2% of them answered that they brush teeth more than 3 times a day and 85.8% answered that they brush teeth less than 2 times a day, so those who brush teeth less than 2 times were more. (2) In 7 questions for researching mothers' knowledge level about fluorine, 55.3% of them answer 3~4 questions correctly. In 7 questions for researching mothers' knowledge level about Periodontal disease, 47.3% of them answer 3~4 questions correctly and it was highest. (3) In a case of the relation between oral health knowledge and behavior of mother and frequency of brushing teeth of children, statistical similarity on frequency of brushing teeth was shown(p < 0.05). (4) In a case of the relation between social-anthropological features of mother and frequency of brushing teeth of children, there was no statistical similarity on age, mothers' educational level, monthly income. However, statistical similarity was shown about existence of mothers' occupation(p < 0.05).

• Molecular & Cellular Toxicology
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• v.1 no.3
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• pp.209-215
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• 2005

Recently, a large number of clinical experiments have shown that exposure of organic pollutants lead to various cancers through the abnormal cell growth. Environmental pollutants, such as 2, 3, 7, 8-Tetrachloro dibenzo-p-dioxin (TCDD) and polycyclic aromatic hydrocarbons (PAHs), are carcinogen and are known to cause the cognitive disability and motor dysfunction in the developing of brain. The effects of these pollutants on neurodevelopmental disorder is well established, but the underlying mechanism(s) and similarity of gene expression profiles in human brain tumors with organic pollutants still remain unclear. In this study, we first examined the gene expression profiles in glioblastomas compared with meningioma that are kinds of primary human brain tumor by using human cDNA microarray. The results of cDNA microarray analysis revealed that 26 genes were upregulated (Z-ratio>2.0) and 14 genes were downregulated (Z-ratio<-2.0) in glioblastoma compared with meningioma. From the altered gene patterns, mitogen-activated protein kinase (MAPK) signaling related genes, such as MAP2K3, MAP3K11 and jun activated domain binding protein, and transcription factors, such as UTF2 and TF12, were upregulated in glioblastoma. Also, we tried to investigate the relation between important genes up- and down-regulated in giloblastoma and various organic pollutants. Therefore, the identification of changes in the patterns of gene expression may provide a better understanding of the molecular mechanisms involved in human primary brain tumors and of the relation between gene expression profiles and organic pollutants in brain tissue.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.501-508
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• 2011

A knowledge map, which has been recently applied in various fields, is discovering characteristics hidden in a large amount of information and showing a tangible output to understand the meaning of the discovery. In this paper, we suggested a knowledge map for research trend analysis based on keyword-relation networks which are constructed by using a database of the domestic journal articles in the computer engineering field from 2000 through 2010. From that knowledge map, we could infer influential changes of a research topic related a specific keyword through examining the change of sizes of the connected components to which the keyword belongs in the keyword-relation networks. In addition, we observed that the size of the largest connected component in the keyword-relation networks is relatively small and groups of high-similarity keyword pairs are clustered in them by comparison with the random networks. This implies that the research field corresponding to the largest connected component is not so huge and many small-scale topics included in it are highly clustered and loosely-connected to each other. our proposed knowledge map can be considered as a approach for the research trend analysis while it is impossible to obtain those results by conventional approaches such as analyzing the frequency of an individual keyword.

• Journal of Korean Philosophical Society
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• v.129
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• pp.53-82
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• 2014

This paper analyzes the concept of Lacanian subject and the structural definition of sexual difference between man and woman, and criticizes some problems of those definitions. It seems to me, to do so, that it is important to know precisely the core terms of psychoanalysis quoted by Lacan. We should analyze the basic meanings and the relation of the Imaginary, Symbolic and the Real, of ideal ego and ego ideal, of phallus and signifier, of desire and the other, of consciousness and unconsciousness, of alienation and separation, etc. I'm going to discuss the relation between the Imaginary and the ideal ego in chapter 2, and then, deal with the relation between the Symbolic and the ego ideal in chapter 3. I'll explain both similarity and difference between the ideal ego and ego ideal through those discussions. In chapter 4, I'm planning to explain the relation among the other, desire and the subject of unconsciousness. In chapter 5, I'll analyze the meaning of phallus and signifier. I'll criticize the Lacanian structural definition of sexual difference on the basis of the work made in former chapters. These discussions will lead to my final conclusion that the concept of Lacanian subject and the structural definition of sexual difference are only dependent on reductionism regarding everything as symbolic, which has in itself a lot of contradiction. In order that All discussions about sexual difference have at least a objective meaning, they have to rely on anatomical differences between man and woman.

• Korean Journal of Environment and Ecology
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• v.29 no.4
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• pp.599-604
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• 2015

This study was conducted the vegetation clustering analysis for the 3 mountains of Mt. Bulam, Mt. Daemo, Mt. Bonghwa which were the urban forests of Seoul. Based on the results of the analysis related to the vegetation clustering, it was found that the clustering of Mt. Bulam consisted of pine trees(Pinus densiflora)-Mongolian oak(Quercus mongolica), Hornb eam(Carpinus laxiflora)-Pitch pine(P. rigida), oriental oak(Q. variabilis) - a wild pear tree(Sorbus alnifolia) while the clustering of Mt. Daemo consisted of Pitch pine-Japanese larch(Larix leptolepis), Poplar(Populus tomentig landulosa)- black birch(Betula davurica pall). Meanwhile, the clustering of Mt. Bonghwa consisted of pine trees-a wild pear tree Community and Sawtooth oak(Q. acutissima)-Cherry Blossoms(Prunus serrulata). In relation to the similarity index by region in Mt. Bulam, Mt. Daemo, and Mt. Bonghwa, the similarity index of Mt. Bulam and Mt. Daemo stood at as high as 0.634, suggesting the distribution of similar vegetation, and the dominance index of the Mt. Daemo region was found to be 0.166 which suggests the dominance of many species compared to other regions. In addition, the results of species diversity showed that Mt. Daemo had the highest stability, and the species diversity, maximum species diversity, evenness indices were highest in Mt. Bulam, followed by Mt. Bonghwa and Mt. Daemo. The dominance index was the lowest in Mt. Bulam, followed by Mt. Bonghwa and Mt. Daemo.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.3
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• pp.409-414
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• 2013

With the increase of multimedia information such as images, researches have been realized on how to extract the high-level semantic information from low-level visual information, and a variety of techniques have been proposed to generate this information automatically. However, most of these technologies extract the semantic information between single images, it's difficult to extract semantic information when a combination of multiple objects within the image. In this paper, we extract the visual features of objects within the image and training images stored in the DB and the features of each object are defined by measuring the similarity. Using ontology reasoner, each object feature within images infers the semantic information by positional relation and associative relation. With this, it's possible to infer semantic information between objects within images, we proposed a method for inferring more complicated and a variety of high-level semantic information.