• Journal of Korea Multimedia Society
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• v.19 no.7
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• pp.1216-1224
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• 2016

This study analyzed the montage pattern of e-book in a bid to include e-book in the film language system. To this end, this study targeted three pieces of e-books which reproduced the animation for theater use of Disney Company. This study did research on characteristics of montage in films, and kinds of film vectors, and defined it as 'Montage of Experience' according to media characteristics of e-book. This study deducted the montage pattern of 3 sorts of classification, and 10 sorts of detailed classification by doing research on the analysis object. This study has a significance in that it pioneers a new perspective in e-book research which has been biased towards a functional perspective. Analysis of the point of contact where the existing visual media, and new media meet with each other could be a driving force promoting the growth of the relevant industry, and this study thinks that the analysis of the point of contact is the research which is helpful to working out qualitative improvement of e-book contents.

• Journal of the Korean Society of Visualization
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• v.11 no.2
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• pp.18-26
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• 2013

An accurate and reliable performance evaluation technique is indispensable for the development of marine antifouling coatings. The existing standard practice is however, based on the visual observation of biofouling settlement area, which is prone to the subjective judgment of the inspector. In spite of the above mentioned importance, a systematic and objective fouling evaluation technique has not yet been introduced. In this study, a novel quantitative antifouling performance evaluation method for marine antifouling paints is devised based on the image analysis of panel immersion test results. The present image analysis method is to quantify settlement area for each fouling category by distinctive color. The fouling categories are set as unfouled, biofilm, green algae, brown algae, calcareous animal and spongy animal with specific HSL (Hue, Saturation, Lightness) color ranges. In order to assess the effectiveness of the proposed method, static immersion tests for three antifouling coatings were undertaken for two years.

• Journal of Fashion Business
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• v.9 no.2
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• pp.160-173
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• 2005

Fashion is hard to expect owing to the rapid change in accordance with consumer taste and environment, and has a tendency toward variety and individuality. Especially street fashion d 21st century is not being regarded as one of the subcultures but is playing an important role as a fountainhead d fashion trend. Therefore, Searching and analyzing street fashions helps us to understand the popular fashions d the next season and also it is important in understanding the consumer fashion sense and commercial area. So, we need to understand fashion styles quantitatively and qualitatively by providing visual data and dividing images. The purpose of this study is to design for street fashion on design analysis using web which can update quantitative and qualitative data. through the on site investigation d street fashion, and put the information onto a database.

• Journal of the Korean Home Economics Association
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• v.43 no.3 s.205
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• pp.1-10
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• 2005

The purpose of this study was to investigate the enforcement strategy for Consumer Service marketing of an e-Commerce shopping mall. An e-CRM for a Cosmetic e-Commerce shopping mall, Data Warehousing(DW) component, analysis of data mining of the DW, and web applications and strategies had to developed for marketing of consumer service satisfaction. The major findings were as follows: An RFM analysis was used for consumer classification, which is a fundamental process of e-CRM application. The components of the DW were web sales data and consumer data fields. The visual process of consumer segmentations (superior consumer class) for e-CRM solutions is presented. The association analysis algorithm of data mining to up-selling and cross-selling indicates an association rule. These e-CRM results apply web DB marketing and operating principles to a shopping mall. Therefore, the system applications of e-CRM to Consumer services indicate a marketing strategy for consumer-oriented management.

• Journal of Fashion Business
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• v.16 no.6
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• pp.52-62
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• 2012

This study researched the jeans street fashion for young men looked like 20s and 30s in Seoul, and analyzed jeans by silhouette by fit and color by washing. The photos were of jeans from the waist to the bottom; and among a total of 1,159 images, 847 images that could be analyzed were selected and used for the analysis. From the images used in the analysis, the jeans fits were categorized according to silhouette and color that were used for the visual selection. As a result, young men preferred fashion jeans like slim or skinny jeans. Most of the tight fitting skinny and slim jeans were slim baggy style jeans, like low waist & long rise with a low back york, which was a key trendy pants style. The jeans color analysis by washing finish showed that dark jeans were most frequently, most of the dark jeans had the original denim color based on the non or normal wash techniques. It is hoped that the results of this study can be used as basic data for the development of designs for jeans brands.

• Journal of the Korean Data and Information Science Society
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• v.18 no.3
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• pp.721-733
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• 2007

The purpose of this research was to determine the effects of the functional lateralization of the brain variables related to the sex, the scientific attitude and the scientific exploration skills. The science instruction is divided in each type of the lecturing class with the experiment class. As for the degree of SMR brainwave activation in each stage are presented while accumulating the brain waves from the right, left and the whole brain waves are analyzed during the science learning activities. It is therefore reasonable to consider the science instruction types and brain lateralization to enhance the science learning effectiveness. Sensorimotor rhythm brainwave as the low Beta is represented well to show the thought process. Category quantification scores and objective scores are calculated to show the visual positioning map for the relationships of the categories by homogeneity analysis.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.3
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• pp.589-599
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• 1997

The purpose of this study was to investigate compostion factor and special qualities of design about Korean clothing image. The 72 samples were obtained from domestic fashion magazines. The questionnaire, which was composed 23 semantic diffrential bi-polar scales, was distributed to 50 female students majoring in Clothing and Textiles. The data were analyzed through factor analysis, anova, scheffe's test, clust analysis. The results were as follows; 1) Through factor analysis about Korean clothing image, 5 factors were identified; elegance, simplicity, femininity, tradition, looseness. 2) By cluster analysis, 3 clusters were determined according to Korean clothing image. Special qualities of design about Korean clothing image showed that there were lots of H silhouette in clothing form, related harmony in color harmony, somewhat rough and crude in texture and simple design in decoration. Top was more or less fit and bottom was found somewhat exaggerated tendency in fitness. 3) As a result of the visual evaluation about Korean clothing image, there were significant differences in all factors.

• International Journal of Contents
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• v.15 no.2
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• pp.13-19
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• 2019

This research demonstrates a clear visual outline of character influence-relations in creating Jungian character archetypes in films using R computational technology. It contributes to the integration of Jungian analytical psychology into film studies by revealing character network relations in film. This paper handles character archetypes and their influence on developing other character archetypes in films in regards to network analysis drawn from Lynn Schmidt's analysis of 45 master characters in films. Additionally, this paper conducts a character network analysis visualization experiment using R open-source software to create an easily reproducible tutorial for scholars in humanities. This research is a pioneering work that could trigger the academic communities in humanities to actively adopt data science in their research and education.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.39-47
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• 2023

This study compares various transformation techniques for multifocus image fusion. Multi-focus image fusion is a procedure of merging multiple images captured at unalike focus distances to produce a single composite image with improved sharpness and clarity. In this research, the purpose is to compare different popular frequency domain approaches for multi-focus image fusion, such as Discrete Wavelet Transforms (DWT), Stationary Wavelet Transforms (SWT), DCT-based Laplacian Pyramid (DCT-LP), Discrete Cosine Harmonic Wavelet Transform (DC-HWT), and Dual-Tree Complex Wavelet Transform (DT-CWT). The objective is to increase the understanding of these transformation techniques and how they can be utilized in conjunction with one another. The analysis will evaluate the 10 most crucial parameters and highlight the unique features of each method. The results will help determine which transformation technique is the best for multi-focus image fusion applications. Based on the visual and statistical analysis, it is suggested that the DCT-LP is the most appropriate technique, but the results also provide valuable insights into choosing the right approach.

• Earthquakes and Structures
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• v.25 no.5
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• pp.369-383
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• 2023

Seismic resilience (SR) plays a vital role in evaluating and improving performance losses along with saving repair costs of structures from potential earthquakes. To further explore the developments, hotspots, and trend directions of SR, a total of 901 articles are obtained from the Web of Science (WoS) database. CiteSpace software is used to conduct a bibliometric analysis, which indicates an upward trend of publications in SR and explores the relationship of countries, journals, cited references, and keywords based on visual maps and detailed tables. Then, based on the results of the bibliometric analysis, a state-of-the-art review is conducted to further explore the current challenges and trend directions of SR. The trend directions can be divided into five categories: (a) SR assessments of infrastructure structures, (b) multi-hazard quantifications of SR, (c) seismic resilient structures, (d) refining and calibrating analytical models, and (e) multi-criteria decision-making frameworks for sustainability and SR.