• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.2
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• pp.81-100
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• 2014

The purpose of this study is to link traditional patterns to mordern clothing. Of all the traditional patterns, the fish pattern was chosen for use during the development of a creative one-piece design for woman and shirts design for man. This study is based upon document searches, including research papers. Through these searches, it investigates the symbolic meaning, formation of the fish pattern and the creative design process. Based on this investigation, the study attempts to modernize the fish pattern and apply the fish patterns to the design of a one-piece dress and shirts. The design procedure includes three sub-processes: selection, arrangement and color-scheme. The selection process, the form of the pattern was edited using Adobe Photoshop. The arrangement of the pattern was made through the checklist conception method, containing the following functions: expand, reset, repeat, omission and dismantling. For the color-scheme of the pattern, Paul Klee(1879-1940)work was selected, and the colors in his work were adopted when dyeing the rest of the one-piece dress and shirts as well as fish features. In conclusion, six designs of the one-pieces dress and shirts were created by using one of Korea's traditional patterns-the fish pattern. This kind of study not only let the world know about the unique beauty of nations but also helps to inspire people who has a profession in design, by suggesting design development process based on design competitiveness improvement factor from fusion of tradition and modern.

• International journal of advanced smart convergence
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• v.2 no.2
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• pp.40-42
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• 2013

Recent medical industry is an aging society and the application of national health insurance, with state-of-the-art research and development, including the pharmaceutical market is greatly increased. The nation's health care industry through new support expansion and improve the quality of life for the research and development will be needed. In addition, systemic administration of basic medical supplies, or drugs are needed, the drug at the same time managing how systematic analysis of pharmaceutical ingredients, based on data through the purchase of new medicines and pharmaceutical ingredients automatically classified by analyzing the statistics of drug purchases and the future a system that can predict a patient is needed. In this study, the drugs to the patient according to the component analysis and predictions for future research techniques, k-means clustering and k-NN (Nearest Neighbor) Comparative studies through experiments using the techniques employ a more efficient method to study how to proceed. In this study, the effects of the drugs according to the respective components in time according to the number of pieces in accordance with the patient by analyzing the statistics by predicting future patient better medical industry can be built.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.289-297
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• 2008

This paper was to examine the salesperson's service that the consumer demands in different types of fashion retailing formats including department store, discount store and outlet store. Data has been collected from June to August in 2005 in Pusan and Seoul on subject of 1000 adult over18 years old and 979 pieces were used to analyze. Data analysis was conducted by factor analysis, regression using the SPSS statistics package program. Services in common in 3 fashion retailing formats were "individual concerning", "kindness, courtesy/customer respect", "quick correspondence/convenience", and "product knowledge". Unique services that consumer demanded for the department store were professional and polite attitude; for the discount store, honesty and convenience for refund and exchange; for the outlet store, wide range of product selection. The results has shown that the part of salesperson's service dimensions influenced the consumer's purchase, repurchasing intention and the level of satisfaction. Therefore fashion marketers need to carefully implicate operation and service management depending on the retailing formats.

• Journal of the Korea Society of Computer and Information
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• v.20 no.10
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• pp.69-76
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• 2015

User's selection of music is largely influenced by private tastes as well as emotional states, and it is the unconsciousness projection of user's emotion. Therefore, we think user's emotional states to be music itself. In this paper, we try to grasp user's emotional states from music selected by users at a specific context, and we analyze the correlation between its context and user's emotional state. To get emotional states out of music, the proposed method extracts emotional words as the representative of music from lyrics of user-selected music through morphological analysis, and learns weights of linear classifier for each emotional features of extracted words. Regularities learned by classifier are utilized to calculate predictive weights of virtual music using weights of music chosen by other users in context similar to active user's context. Finally, we propose a method to recommend some pieces of music relative to user's contexts and emotional states. Experimental results shows that the proposed method is more accurate than the traditional collaborative filtering method.

• Journal of the Korean Society for Precision Engineering
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• v.26 no.9
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• pp.58-63
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• 2009

Silicon carbide (SiC) has been used for many engineering applications because of their high strength at high temperatures and high resistances to chemical degradation. SiC is very useful especially for a glass lens mold whose components demanded to the machining with good surface finish and low surface damage. The performance and reliability of optical components are strongly influenced by the surface damage of SiC during grinding process. Therefore, the severe process condition optimization shall be necessary for the highly qualified SiC glass lens mold. Usually the major form of damage in grinding of SiC is a crack occurs at surface and subsurface. The energy introduced in the layers close to the surface leads to the formation of these cracks. The experimental studies have been carried out to get optimum conditions for grinding of silicon carbide. To get the required qualified surface finish in grinding of SiC, the selection of type of the wheel is also important. Grinding processes of sintered SiC work-pieces is carried out with varying wheel type, depth of cut and feed using diamond wheel. The machining result of the surface roughness and the number of flaws, have been analyzed by use of surface profilers and SEM.

• The Korean Journal of Pesticide Science
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• v.15 no.2
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• pp.194-200
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• 2011

Diamondback moth (DBM, Plutella xylostella L.) is known as the most destructive pest of cruciferous crops worldwide. As most insecticides targeted to mainly larval stage, new insecticides which have hatching-inhibitory or ovicidal activity could be more efficient to control DBM. Therefore, we developed an easy and efficient method for screening ovicidal activity of DBM eggs using aluminum foil. The aluminum foil ($4{\times}12$ cm) coated with filtered juice of chinese cabbage leave (hereinafter called oviposition foil) exposed to 300 newly-emerged adults for 24 hours inside the rearing container. The oviposition foils were replaced every 4 days consecutively after mating, but it was better to discarded over then. Oviposition foil were divided into 6 to 12 pieces depending on egg mass volume. After dipping into test solutions for 10 seconds using faucet, oviposition foil pieces were placed into common petri dish, and then investigated hatchability. The effect of methanol solvent (50%) for 10 seconds dipping on the toxicity against DBM eggs was negligible. In addition, whether covering the petri dish or not should be dependent on nature of active compounds tested. With applying the new bioassay method, methanol extracts from 50 plants were tested the ovicidal activity to DBM eggs. Among them, four plant extracts; Angelica tenuissima root, Lycium chinense root, Cnidium officinale root and Polygala tenuifolia root, showed high ovicidal activity of over 90% control efficacy, against DBM eggs.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1619-1628
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• 2008

The aim of this study was to compare and contrast the changes in wedding coordination between the end of 20th and the beginning 21st centuries. one wedding magazine was selected and used to supply data. four hundred and thirty one wedding photos were examined from a popular wedding magazine called "My Wedding", issued between 1993 and 2007. the results are described below. First, changes in make-up and hair style: from the end of 20th to the beginning of 21 st centuries, the style of make-up changed from being exaggerated with strong colors which made the typical brides make-up to utilizing the minimal color selection which made natural-looking. the hair style has also changed from up style to natural hair style. Second, changes in wedding gowns: the style of wedding gowns changed from the shapes of X line which was to cover the body figure of bride to simple shapes such as an strapless and fish-tail style of gowns. Third, changes in wedding jewelry and accessories: hair pieces consisted of large flower crowns and hair bands with flowers in the end of 20th century. the various sizes and colors of tiaras and crowns were popular in the beginning of 21 st century. for wedding accessories, large shapes of earrings and necklaces were popular at the end of 20th century, whereas various size and styles were more fashionable later on. in conclusion, brides in the beginning of 21 st century prefer to wear sexy or alluring dresses with natural hair styles and make-up, in contrast to the classic or traditional wedding outfits that were more popular at the end of 20th century.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.45-53
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• 2020

Conventional Convolutional Neural Network(CNN) algorithms have limitations in detecting small objects in large image. In this paper, we propose an improved model which is based on Region Of Interest(ROI) selection and image dividing technique. We prepared YOLOv3 / Faster R-CNN algorithms which are transfer-learned by airfield and aircraft datasets. Also we prepared large images for testing. In order to verify our model, we selected airfield area from large image as ROI first and divided it in two power n orders. Then we compared the aircraft detection rates by number of divisions. We could get the best size of divided image pieces for efficient small object detection derived from the comparison of aircraft detection rates. As a result, we could verify that the improved CNN algorithm can detect small object in large images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1748-1759
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• 2018

Weber Local Descriptor (WLD) is a stable and effective feature extraction algorithm, which is based on Weber's Law. It calculates the differential excitation information and direction information, and then integrates them to get the feature information of the image. However, WLD only considers the center pixel and its contrast with its surrounding pixels when calculating the differential excitation information. As a result, the illumination variation is relatively sensitive, and the selection of the neighbor area is rather small. This may make the whole information is divided into small pieces, thus, it is difficult to be recognized. In order to overcome this problem, this paper proposes Weber Symmetrical Local Graph Structure (WSLGS), which constructs the graph structure based on the $5{\times}5$ neighborhood. Then the information obtained is regarded as the differential excitation information. Finally, we demonstrate the effectiveness of our proposed method on the database of ORL, JAFFE and our own built database, high-definition infrared faces. The experimental results show that WSLGS provides higher recognition rate and shorter image processing time compared with traditional algorithms.

• The Korean Journal of Pain
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• v.31 no.3
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• pp.147-154
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• 2018

Fibromyalgia (FM) is a contested illness with ill-defined boundaries. There is no clearly defined cut-point that separates FM from non-FM. Diagnosis of FM has been faced with several challenges that occur, including patients' health care-seeking behavior, symptoms recognition, and FM labeling by physicians. This review focuses on important but less visible factors that have a profound influence on under- or over-diagnosis of FM. FM shows different phenotypes and disease expression in patients and even in one patient over time. Psychosocial and cultural factors seem to be a contemporary ferment in FM which play a major role in physician diagnosis even more than having severe symptom levels in FM patients. Although the FM criteria are the only current methods which can be used for classification of FM patients in surveys, research, and clinical settings, there are several key pieces missing in the fibromyalgia diagnostic puzzle, such as invalidation, psychosocial factors, and heterogeneous disease expression. Regarding the complex nature of FM, as well as the arbitrary and illusory constructs of the existing FM criteria, FM diagnosis frequently fails to provide a clinical diagnosis fit to reality. A physicians' judgment, obtained in real communicative environments with patients, beyond the existing constructional scores, seems the only reliable way for more valid diagnoses. It plays a pivotal role in the meaning and conceptualization of symptoms and psychosocial factors, making diagnoses and labeling of FM. It is better to see FM as a whole, not as a medical specialty or constructional scores.