• The Research Journal of the Costume Culture
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• v.14 no.2
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• pp.192-205
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• 2006

This study first aims on preparing a systematic analysis basis for the expression aspects of hairstyle in forms of postmodernism. Secondly, it studies the meanings and aspects the hairstyle trend through a post modernism approach about its expression methods based on the suggestive collection hairstyles. Third, it confirms that hairstyle is also one of fashion that can be represented as modern society and culture by explaining that post modernism appears in hairstyles. This study analyzes the expression aspects of hairstyle in forms of post modernism that appears in modern collections by preparing theoretical theories for this study based on former studies related to post modernism theory and clothes from a qualitative analysis. The results of this study prepared a theoretical analysis frame to study the expression aspects of hairstyle in forms of postmodernism first. Secondly, as a result of analyzing based on the analysis, they show that disoriginality of hairstyle can be freely interpreted by the author through borrowing and restoration, disformation through discord and incompletion, discenterization through non-westernization and sub-culture, and inter-text through many symbols and meanings. Thirdly, as the postmodernism movement that represents modern society, culture, and art movement is reflected on hairstyle, it can be considered as a small culture and a product of the era.

• Cartoon and Animation Studies
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• s.16
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• pp.141-163
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• 2009

This paper examined the goblin characters in Japan animation. The meaning of the goblin in this paper is not a just monster. They have a spirit. This concept is based on animism in japanese mind. I attempted a chase of goblin character's making methods. My theoretical approaches lean on the concepts "inter-textuality" of Julia Kristeva and "text" of Roland Barthes. First of all, I compared some beings of the old chinese myth-geographical book with some characters of Japan animation . The making method of goblin characters is two. One is 'Hybrid', the other is 'Mutant'. And than I appled to Japanese traditional image, "Baek-kuy-ya-hang-do"(hundreds of goblins' parade). The making method of goblins is combined to a inter-textual way as hybrid or mutant.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.64-72
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• 2013

In this study, we contemplated types, essence, characteristics of text data which is material for visual expression of text visualization part of data visualization research and also analysed the multidirectional means of expressive approach for it. Studies of text visualization are spread dramastically under the influence of computer development, open data, wide use of visualization tools, etc. For these reasons, text visualization works have been creating as art works or output of research through various inter-discipline convergent research with engineering, art, humanities, sociology, etc. Nevertheless the theoretical studies on text data itself and its visualization, and also systematic analysis of its approach are rarely made. Data is target of understanding and interpretation, and it has infinite information and possibility with process and approach for it. Considering the attainable status of data in future human society, text visualization which is convergent academic field of study starting with understanding and interpretation of data needs further methodological research and theoretical accumulate.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.60-66
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• 2021

The importance of maintenance is leading the application of the maintenance strategy in various industries. The maritime industry is also a part of them, with changes in selecting and applying the maintenance strategy, but rather slowly, by retaining the old strategy. In particular, the ship is maintaining a previously used strategy. In the circumstance of the sea, ship requires a new suggestion for maintenance strategy. A ship predictive maintenance model predicts the breakdown or malfunction of machineries to secure maintenance time with preventive actions and treatments, thereby avoiding maintenance-related dangerous factors. This study focused on applying text analysis to an Liquefied Natural Gas Carriers dock indent document, and the analysis results were interpreted from the original document. The inter-relational patterns observed from the frequency of common maintenance combinations among different parts and equipment in ships will be applied to the development of ship predictive maintenance.

• Journal of information and communication convergence engineering
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• v.20 no.2
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• pp.113-124
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• 2022

News in the form of web data generates increasingly large amounts of information as unstructured text. The capability of understanding the meaning of news is limited to humans; thus, it causes information overload. This hinders the effective use of embedded knowledge in such texts. Therefore, Automatic Knowledge Extraction (AKE) has now become an integral part of Semantic web and Natural Language Processing (NLP). Although recent literature shows that AKE has progressed, the results are still behind the expectations. This study proposes a method to auto-extract surface knowledge from English news into a machine-interpretable semantic format (triple). The proposed technique was designed using the grammatical structure of the sentence, and 11 original rules were discovered. The initial experiment extracted triples from the Sri Lankan news corpus, of which 83.5% were meaningful. The experiment was extended to the British Broadcasting Corporation (BBC) news dataset to prove its generic nature. This demonstrated a higher meaningful triple extraction rate of 92.6%. These results were validated using the inter-rater agreement method, which guaranteed the high reliability.

• The KIPS Transactions:PartB
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• v.14B no.6
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• pp.453-460
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• 2007

In this paper, we present a method to extract the text lines in poorly structured documents. The text lines may have different orientations, considerably curved shapes, and there are possibly a few wide inter-word gaps in a text line. Those text lines can be found in posters, blocks of addresses, artistic documents. Our method based on the traditional perceptual grouping but we develop novel solutions to overcome the problems of insufficient seed points and vaned orientations un a single line. In this paper, we assume that text lines contained tone connected components, in which each connected components is a set of black pixels within a letter, or some touched letters. In our scheme, the connected components closer than an iteratively incremented threshold will make together a chain. Elongate chains are identified as the seed chains of lines. Then the seed chains are extended to the left and the right regarding the local orientations. The local orientations will be reevaluated at each side of the chains when it is extended. By this process, all text lines are finally constructed. The proposed method is good for extraction of the considerably curved text lines from logos and slogans in our experiment; 98% and 94% for the straight-line extraction and the curved-line extraction, respectively.

• Journal of Fashion Business
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• v.11 no.5
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• pp.110-123
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• 2007

This study aims at analyzing the characteristics and the mode of deconstructionism expressed in fashion design centering on review of literatures and precedent researches. Through the review of previous studies and various articles, three major features with regard to deconstructionism were found: indeterminacy of meaning, decentralization, and inter -textuality. In fashion, the feature of indeterminacy of meaning expressed by non formula way such as unfinished, layering, obi or straight line cutting and it was divided into unstructured and unorganized factors. The feature of decentralization expressed by disorganization of sex, race, culture and humanism such as trans-gender, third world costume, sub-culture, posthumanism. Last, the feature of inter-textuality expressed by employing the fashion texts more than two simultaneously such as mixture of unmatched or unusual various clothing items, fabrics, patterns and styles. Non formality features in fahsion which divided into unstructured and unconstructed factors. The decentering of meaning means that disorganized the existing concepts of sex, race, culture and humanism features in fashion which divided into cross-gender, subculture, and post-humanism. Lastly, the feature of inter-textuality means that employed the fashion text more than two which is classified into factors of mixing mode and mixed styles. Unstructured factors were expressed by destroying the design principles such as balance, harmony and unit in fashion. Unconstructed factors were expressed by ignoring the basic costume structures and components in fashion. Cross-gender was expressed by manish and duality style in fashion and 3rd world costume was expressed by folk costume style. Anti fashion was expressed by anti aesthetics in fashion such as kitch, punk, and hippie styles. Post-human was expressed by futurism and the 4th Sex style in fashion. Mixing mode were expressed by mixture of item, and unmatched materials and pattern in fashion. Mixture of style were expressed by mixture of pastiche expression of various styles.

• The Journal of Korean Physical Therapy
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• v.30 no.1
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• pp.29-34
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• 2018

Purpose: This study aimed to systematically analyze the reliability and validity of Korean versions of mobility and gait assessment tools for patients with stroke. Methods: Two reviewers conducted an independent literature search and systematically reviewed the literature. Literature published until June of 2017 was searched using search engines for electronic databases. The 2 reviewers reviewed the title and abstract of each article. Among the articles examined, we read the full text of those judged to be suitable for our study. We classified the selected data into research methods and results. The determination was made through mutual agreement. Results: The reviewers selected 5 articles related to the purpose of this study. The DGI was found to be moderately associated with BBS, 10MWT, and TUG in intra-rater reliability (ICC=0.92), inter-rater reliability (ICC=0.88), and concurrent validity tests. The FGA demonstrated a high level of reliability with intra-rater (ICC=0.92-0.95) and inter-rater reliability (ICC=0.91, 0.95). The intra-rater reliability of the RMI was high at ICC=0.98. Its concurrent validity showed a high association with STREAM and BI. The intra-rater reliability of the MAS was ICC=0.75-0.99. Its inter-rater reliability was very high, exceeding 0.99. The inter-rater reliability of the Tinetti-gait Scale was ICC=0.91, and its concurrent validity was moderately associated with the DGI, 10WMT, OLST, FM-L/E, and STS. Conclusion: The results of this study revealed that the reliability and validity of the Korean versions of the mobility and gait assessment tools were high.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.2
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• pp.183-196
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• 2016

The academic journal is an important medium carrying newly discovered knowledge in various disciplines. It is desirable to consider visualization of journal and article information in order to make the information more insightful and effective than text-based information. In this study, visualization service platform of journal and article information is developed. TagCloud were included in both Infographics of journal and article. Each word in the TagCloud is inter-linked with DBPedia using Linked Open Data (LOD) technique.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.6
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• pp.2527-2545
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• 2016

Measuring the similarity of given samples is a key problem of recognition, clustering, retrieval and related applications. A number of works, e.g. kernel method and metric learning, have been contributed to this problem. The challenge of similarity learning is to find a similarity robust to intra-class variance and simultaneously selective to inter-class characteristic. We observed that, the similarity measure can be improved if the data distribution and hidden semantic information are exploited in a more sophisticated way. In this paper, we propose a similarity learning approach for retrieval and recognition. The approach, termed as LDA-FEK, derives free energy kernel (FEK) from Latent Dirichlet Allocation (LDA). First, it trains LDA and constructs kernel using the parameters and variables of the trained model. Then, the unknown kernel parameters are learned by a discriminative learning approach. The main contributions of the proposed method are twofold: (1) the method is computationally efficient and scalable since the parameters in kernel are determined in a staged way; (2) the method exploits data distribution and semantic level hidden information by means of LDA. To evaluate the performance of LDA-FEK, we apply it for image retrieval over two data sets and for text categorization on four popular data sets. The results show the competitive performance of our method.