• The International Journal of Costume Culture
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• v.13 no.1
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• pp.37-41
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• 2010

It is a universal phenomenon for people to establish ideal images of man according to a specific time, society and race. Thus, people have invested endless endeavor to reach the standard of ideal image. Especially, they made efforts to embody the ideal image of man as a perfect human image using appearance feature like a human body and clothing. Shi jing(詩經) is considered as a very valuable source book which reveals the life style, customs, thinking, ideas, and emotion of people of that period. The purpose of this study is to analyze the ideal image of man and woman which ancient Chinese pursued, focusing Shi jing(詩經). The results are as following. The ideal image of man is nice, handsome, dignified, generous and gentle. Besides, he should have adequate sense of humor, tall height. clear eye, broad forehead, moderate and upright behavior, outstanding horsemanship and marksmanship and braveness. Meanwhile, the ideal image of woman was described as gentle, decent, and graceful. Also, she should have tall height, light complexion, pretty hand, long neck, broad forehead, clear eyes, and charming black hair. The ideal beauty of woman included nobility and elegant personality in addition to the good physical appearance.

• Journal of the Korean Society of Costume
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• v.61 no.6
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• pp.15-37
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• 2011

This study is on dancing dresses of the costumes of Gum-Mu(劍舞, sword dance) in southern, central, and northern region of Korea, focusing on the origin, characteristics and the way of dance. The reason why the Gum-Mu is full of local color is that royal Korean Gisaeng(妓生) and local Gisaeng returned to their hometown and propagated this dance to each regional Kyobang. They combined court sword with each local dance and music and formed the present style of regional Gum-Mu. Dance and music native to area, which has formed today's regional Gum-Mu. The composition of current dancing costume of the sword dance is Jeogori, Chima, Jeondae(戰帶), Jeonrib(戰笠), Kwaeja(快子) Also, The complement colors harmonizing with color of Yin-Yang & Five Elements. which are yellow, blue, white, red, and black, are usually used. And the masculinity in dance were expressed withmore use of blue, and red in the opposite but if a sword dance takes on masculine character, blue color is more used, if feminie character, reddish colors, such as pink and red, are used. Thus, JinJu, Honam, Haeju, Pyeongyang dancing Suit of Gum-Mu feature blue color, Tongyeong, Kyeonggi, Court(seoul)dancing Suit of Gum-Mu feature reddish color.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.205-214
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• 2006

Texts in images have significant and detailed information about the scenes, and if we can automatically detect and recognize those texts in real-time, it can be used in various applications. In this paper, we propose a new text detection method that can find texts from the various camera-captured images and propose a text segmentation method from the detected text regions. The detection method proposes color variance as a detection feature in RGB color space, and the segmentation method suggests an improved K-means color clustering in RGB color space. We have tested the proposed methods using various kinds of document style and natural scene images captured by digital cameras and mobile-phone camera, and we also tested the method with a portion of ICDAR[1] contest images.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.793-804
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• 2005

The new paradigm of the 21st century demand an openly different world of formative ideologies in respect to art and design. The purpose of this study is focused on trying to comprehend aesthetic essence of clothing as an, with the investigation of artistic theories manifested by art philosophers. Art to Wear was categorized into style to understand its artistic meaning as well as to analyze its character. Upon the foundation of semiotics theory, the feature of Art to Wear and its analysis category were argued in the context of Charles Morris three dimension of semiotics analysis. The conclusion to the research is like so. The feature and analysis category of Art to Wear upon a semiotics perspective was divided into syntactic dimension, semantic dimension and pragmatic dimension. The analytical categorization upon the perspective of syntactic dimension fell into the category of topology, shape and color. The semantic dimension of Art to Wear was divided into categories of denotation and connotation. In addition, the pragmatic dimension of Art to Wear analytical categorization was divided into a delivering function and common function.

• Journal of the Korean Society of Food Culture
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• v.26 no.3
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• pp.211-219
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• 2011

To examine the key success factors for long-lasting restaurants, we visited 10 restaurants with 30 or more than 30 years of tradition, located in Seoul and Gyeonggi-do districts, to research these restaurant menus and customer characteristics by observation and interview. The results were analyzed using descriptive statistics. The outstanding feature noted was that each and every restaurant had its own simple and specialized menu. We found that this feature created a virtuous circle that reinforced itself through a positive feedback loop. The simple and specialized menu increased both the cooking efficiency and food quality while it reduced both food and labor costs, this enabled the customers to eat at an affordable price and have generous servings. This lead to customer satisfaction and revisits to the restaurant, which triggered word-of-mouth referral and expansion of their customer base. This in turn created higher operating profit margins that could be reinvested in the business. The secret recipes for cooking, invented by their founders, were passed on from generation to generation. Their customer base included customers of all ages from children to senior people. And their regular customers consisted of neighboring office workers and families traveling from a long distance. We hope that our findings on long-lasting restaurants, especially of the virtuous cycle created due to the simple and specialized menus with secret recipes, will contribute to the development of Korean style long-lasting restaurant model.

• Phonetics and Speech Sciences
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• v.7 no.2
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• pp.149-156
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• 2015

We propose a new method for automatic fluency scoring of English speaking tests spoken by nonnative speakers in a free-talking style. The proposed method is different from the previous methods in that it does not require the transcribed texts for spoken utterances. At first, an input utterance is segmented into a phone sequence by using a phone recognizer trained by using native speech databases. For each utterance, a feature vector with 6 features is extracted by processing the segmentation results of the phone recognizer. Then, fluency score is computed by applying support vector regression (SVR) to the feature vector. The parameters of SVR are learned by using the rater scores for the utterances. In computer experiments with 3 tests taken by 48 Korean adults, we show that speech rate, phonation time ratio, and smoothed unfilled pause rate are best for fluency scoring. The correlation of between the rater score and the SVR score is shown to be 0.84, which is higher than the correlation of 0.78 among raters. Although the correlation is slightly lower than the correlation of 0.90 when the transcribed texts are given, it implies that the proposed method can be used as a preprocessing tool for fluency evaluation of speaking tests.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.10b
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• pp.162-167
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• 2007

The courtyard life style ever existed as the major traditional living form in wide north China areas. The research made case study and specific analysis on the space organization, constitution and order of the courtyard living, as well as the dwelling accessory manners and transfer space patterns both inside and outside of the courtyard. Pingyao ancient city as the research sample (object), its courtyard composition, classification and characteristic are studied profoundly to explore local traditional cultural traits. On upon the analysis, the research is concluded that the civil courtyard in the ancient Pingyao city bears the feature of in a continuous changing process, which represented as 'from confined to opening', 'from narrow to wide', 'from public to private'. Despite of the courtyard dwelling location and direction, all accessories architectural items on the main room roof were influenced by the geomantic omen culture. As of the inside wall body, entrance and side wall of the courtyard, the woodcraft, stone carving, brick carving on above not only could functioned in architecture artistic, but also express the traditional education spiritual feature.

• Korean Institute of Interior Design Journal
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• no.37
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• pp.95-102
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• 2003

It has been true that major investment among local business hotels were placed in furniture design character as there are increasing number of international events hosted by Korea. The study, under these circumstances, as a study In advance to see the design feature and trend of local business hotel's guest room furniture, has done interview with guest room manager, photographing of rooms, actual survey for analysing guest room plane surface, etc., researcher directly visiting 15 hotels that have special first grade businessmen only floor in Seoul. In addition, a survey has been done to know if each hotel room and furniture has particular image, from this survey the design feature of local business hotel's guest room has been analysed, and the result is as following. The result shows that similar pattern is applied in furniture placement of each guest room but for the furniture type and design concept, some try to re-design of wooden furniture available in Lee dynasty and others adopt European style like France and United Kingdom for the realization of semi-classic image. Typical material and color is red oak and maple.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.63-65
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• 2014

Open source software has a feature that offers its service by the subscription method without getting a license fee. Therefore, this business style needs a different form of estimate criteria from other proprietary software, which is paid by license fees and maintenance service fees. However, consumers, including the public sector, don't understand this feature. This problem has kept the open source software business from attaining prosperity. I would like to provide a model for the estimate criteria that can apply to the open source software business by investigating and developing various advanced research and market examples.

• International Journal of Contents
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• v.15 no.3
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• pp.32-38
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• 2019

We usually suffer from difficulties in treating or managing Big Data generated from various digital media and/or sensors using traditional mining techniques. Additionally, there are many problems relative to the lack of memory and the burden of the learning curve, etc. in an increasing capacity of large volumes of text when new data are continuously accumulated because we ineffectively analyze total data including data previously analyzed and collected. In this paper, we propose a general-purpose classifier and its structure to solve these problems. We depart from the current feature-reduction methods and introduce a new scheme that only adopts changed elements when new features are partially accumulated in this free-style learning environment. The incremental learning module built from a gradually progressive formation learns only changed parts of data without any re-processing of current accumulations while traditional methods re-learn total data for every adding or changing of data. Additionally, users can freely merge new data with previous data throughout the resource management procedure whenever re-learning is needed. At the end of this paper, we confirm a good performance of this method in data processing based on the Big Data environment throughout an analysis because of its learning efficiency. Also, comparing this algorithm with those of NB and SVM, we can achieve an accuracy of approximately 95% in all three models. We expect that our method will be a viable substitute for high performance and accuracy relative to large computing systems for Big Data analysis using a PC cluster environment.