• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.3
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• pp.121-132
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• 2010

The purpose of this research was to analyze the Korean Formative-Artistic Characteristics which were expressed by Hanbok designers. In this research, Hanbok style is a combination of two main things: formative-artistic factors of the Korean past, which naturally focuses on the peculiarity of the tradition and the modern aspects of clothing. Hanbok fashion is defined as all products created by Hanbok designers that incorporate traditional design factors, but do not follow it exactly. There are four formative-artistic characteristics of Korean designs in the Hanbok fashion. The first is the practical usage of the form and the second is the application of texture, color and patterns of materials which are synonymous with traditional Korean costumes; the third, by utilizing specific features, such as a the string of Jeogori(jacket), the round line of Jeogori sleeve, quilting, slit of Dofo (coat), the line of goreum and git (collar), the beauty of the Hanbok can be expressed in various ways; finally, the decorations added to the clothing, like embroidery, dying, patchwork, and beaten silver have been used to express Korean beauty in a modern sense. At the conclusion of the research, the study suggests the following recommendations to upgrade the Hanbok designs and the Hanbok industry. The first recommendation is that continuous design research be done for the development and popularity of the brand image; secondly, collaboration with specialists from other areas of fashion would be beneficial; thirdly, it would be a positive development if Hanbok designers studied Western clothing; and fourthly, Hanbok materials should continue to evolve and be developed.

• Fashion & Textile Research Journal
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• v.5 no.1
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• pp.17-24
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• 2003

Objet, which showed up with the art of 20C, is now an important element giving a creative idea to fashion designers in modern times. The purpose of the study is to review how the objet technique was paid attention and recreated in the fashion, through the analysis of works, and the formative features of each technique for fashion, in order to identify the connection of arts and fashion, and the position of fashion as art. The techniques using object appeared in the 20th century fashion are as follows: First, papier-colle, which is adding printed materials onto the surface, is such a technique that adds cut-feeling materials to impose a new texture, or arrange again the cloth-cuts to create a different clothing from the existing one, which went to the extension of materials in the fashion. Second, collage of daily materials expresses directly and emotionally through direct presentation of the objets. Especially, collage of patch-work is reproduced into a new fabric depending on the objet used, giving a standing over the form. Third, ready-made which presents the material meaning only of the objet expands the range of objets which could be used in the fashion by introducing the daily materials having a meaning itself as a fashion. Forth, an attempt to approach to the objets of popular image by designed techniques come out in modern fashion as a graffiti look or a typography look, making the clothing itself an objet to transmit a message directly to the masses. Introduction of various objets and development of expression technique brought out the diversification of materials, and enrichment and extension of expression sphere, which resultingly spreaded the freedom of expression and progressed into the art sphere, making a direct motif to solidify its standing as a formative art.

• Journal of Fashion Business
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• v.22 no.1
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• pp.1-19
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• 2018

The purpose of this study is to analyze the fashion style of Kate Middleton, the Royal Family, and to examine the social and cultural influence of Middleton fashion. We selected 314 photographs collected from a Google site and Gettyimages.com April 2011-December 2016 as the final research subjects. We categorized the situation by domestic events, royal events, diplomatic activities, and social contribution activities, and analyzed fashion styles focusing on item composition, color, material, silhouette, detail, trimming, and length. As a result of the study, the one piece was the highest in the combination of items, and the color was the most in white. The color tones were mostly vivid, and the material texture was silky. The image was classic, and the dress code was high in semi-formal. In a situational style, the coat was the most common at the Royal Family events and blue or white of the light tones appeared in the formal style of the classic image. In domestic events, there were many silky textures of modern image, and vivid, strong tonal knee length H line dress was the most prevalent. During diplomatic activities, various colors such as red, green, gray appeared in addition to blue or white and in social contribution activities, many dresses of vivid and dark tones of red appeared in the dress code as semi-formal. In conclusion, the stylistic features of Kate Middleton and the Royal Family are largely in the form of royal and noble, low cost and chic, and body-conscious styling.

• Journal of Forest and Environmental Science
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• v.27 no.3
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• pp.169-181
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• 2011

The purpose of this study was to understand the geographical and environmental distribution of animals and plants in Baekdudaegan region using field survey and GIS data. Crucial factors were selected and analyzed to understand the distributional characteristics of wild animals (16 species in 5 orders) and rare endemic plants (20 species in 12 orders). These crucial factors include stand factor (forest type, DBH class, and crown density), soil factor (bed rock, soil texture, and organic matter), geographical factor (elevation, slope, aspect) and climatic factor (temperature, rain fall, humidity). Finally, ten crucial factors were selected by statistical analysis and categorized for analyzing geographical and environmental features. Three orders such as Rodentia, Carnivora, and Artiodactula in wild animal showed the similar habitat characteristics with the small diameter and the elevation range from 801 to 1,000m. The Hydropotes inermis of Artiodactyla and Rattus norvegicus of Rodentia were different in the type of orders, but they had the similar habitat characteristics with the coniferous forest and loam. On the other hand, four orders such as Tubiflorales, Liliales, Ericales, and Rhamnales in the rare and endemic plants were showed high occurrence rate in the organic matter between 4 and 6%. The Rodgersia podophylla of Rosales and Gastrodia elata Blume of Microspermae were different in the type of orders, but they had the similar habitat characteristics with the stand factor and soil factor.

• Journal of Korean Society of Forest Science
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• v.107 no.2
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• pp.140-150
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• 2018

For the estimation of greenhouse gas dynamics in forests, it is useful to use a model which simulates both carbon (C) and nitrogen (N) cycle simultaneously. A forest C model, called FBDC, was developed and validated in Korea. However, studies on development of forest N model are insufficient. This study aimed to suggest a development process of a forest C and N model. We analyzed the general features, structures, ecological processes, input data, output data, and methods of integrating C and N cycles of the VISIT, Biome-BGC, Forest-DNDC, and O-CN. The structure and features of the FBDC were also analyzed. The VISIT was developed by integrating forest C model with a N cycle module, and the new model also could be designed by combining the FBDC with a N cycle module. The VISIT and Forest-DNDC could estimate soil $N_2O$ emissions, and the integrated model should include the processes shared by these models. Especially, the overseas models linked C and N cycles based on N absorption, C absorption, and decomposition of dead organic matter. Therefore, the integration of the FBDC with N cycle module should apply this linkage of structures between C and N cycles. Climate, soil texture, and species distribution data, which are essential for the model development, were available in Korea. However, parameter data associated with N cycle and validation data for soil $N_2O$ emissions need to be obtained by field studies.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.1
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• pp.75-83
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• 2008

We propose a welfare interface using multiple fecial features tracking, which can efficiently implement various mouse operations. The proposed system consist of five modules: face detection, eye detection, mouth detection, facial feature tracking, and mouse control. The facial region is first obtained using skin-color model and connected-component analysis(CCs). Thereafter the eye regions are localized using neutral network(NN)-based texture classifier that discriminates the facial region into eye class and non-eye class, and then mouth region is localized using edge detector. Once eye and mouth regions are localized they are continuously and correctly tracking by mean-shift algorithm and template matching, respectively. Based on the tracking results, mouse operations such as movement or click are implemented. To assess the validity of the proposed system, it was applied to the interface system for web browser and was tested on a group of 25 users. The results show that our system have the accuracy of 99% and process more than 21 frame/sec on PC for the $320{\times}240$ size input image, as such it can supply a user-friendly and convenient access to a computer in real-time operation.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.45-51
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• 2021

With the development of deep learning, semantic segmentation methods are being studied in various fields. There is a problem that segmenation accuracy drops in fields that require accuracy such as medical image analysis. In this paper, we improved PSPNet, which is a deep learning based segmentation method to minimized the loss of features during semantic segmentation. Conventional deep learning based segmentation methods result in lower resolution and loss of object features during feature extraction and compression. Due to these losses, the edge and the internal information of the object are lost, and there is a problem that the accuracy at the time of object segmentation is lowered. To solve these problems, we improved PSPNet, which is a semantic segmentation model. The multi-scale attention proposed to the conventional PSPNet was added to prevent feature loss of objects. The feature purification process was performed by applying the attention method to the conventional PPM module. By suppressing unnecessary feature information, eadg and texture information was improved. The proposed method trained on the Cityscapes dataset and use the segmentation index MIoU for quantitative evaluation. As a result of the experiment, the segmentation accuracy was improved by about 1.5% compared to the conventional PSPNet.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.5
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• pp.944-958
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• 2011

Soil hydraulic properties such as hydraulic conductivity or water retention which are costly to measure can be indirectly generated by soil pedotransfer function (PTF) using easily obtainable soil data. The field soil structure description which is routinely recorded could also be used in PTF as an input to reduce the uncertainty. The purposes of this study were to use qualitative morphological soil structure descriptions and soil structural index into PTF and to evaluate their contribution in the prediction of soil hydraulic properties. We transformed categorical morphological descriptions of soil structure into quantitative values using categorical principal component analysis (CATPCA). This approach was tested with a large data set from the US National Pedon Characterization database with the aid of a categorical regression tree analysis. Six different PTFs were used to predict the saturated hydraulic conductivity and those results were averaged to quantify the uncertainty. Quantified morphological description was successively used in multiple linear regression approach to predict the averaged ensemble saturated conductivity. The selected stepwise regression model with only the transformed morphological variables and structural index as predictors predicted the $K_{sat}$ with $r^2$ = 0.48 (p = 0.018), indicating the feasibility of CATPCA approach. In a regression tree analysis, soil structure index and soil texture turned out to be important factors in the prediction of the hydraulic properties. Among structural descriptions size class turned out to be an important grouping parameter in the regression tree. Bulk density, clay content, W33 and structural index explained clusters selected by a two step clustering technique, implying the morphologically described soil structural features are closely related to soil physical as well as hydraulic properties. Although this study provided relatively new method which related soil structure description to soil structure index, the same approach should be tested using a datasets containing the actual measurement of hydraulic properties. More insight on the predictive power of soil structure index to estimate hydraulic properties would be achieved by considering measured the saturated hydraulic conductivity and the soil water retention.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.184-191
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• 2015

Prostate ultrasound is used to diagnose prostate cancer, BPH, prostatitis and biopsy of prostate cancer to determine the size of prostate. BPH is one of the common disease in elderly men. Prostate is divided into 4 blocks, peripheral zone, central zone, transition zone, anterior fibromuscular stroma. BPH is histologically transition zone urethra accompanying excessive nodular hyperplasia causes a lower urinary tract symptoms(LUTS) caused by urethral closure as causing the hyperplastic nodule characterized finding progressive ambient. Therefore, in this study normal transition zone image for hyperplasia prostate and normal transition zone image is analyzed quantitatively using a computer algorithm. We applied texture features of GLCM to set normal tissue 60 cases and BPH tissue 60cases setting analysis area $50{\times}50pixels$ which was analyzed by comparing the six parameters for each partial image. Consequently, Disease recognition detection efficiency of Autocorrelation, Cluster prominence, entropy, Sum average, parameter were high as 92~98%.This could be confirmed by quantitative image analysis to nodular hyperplasia change transition zone of the prostate. This is expected secondary means to diagnose BPH and the data base will be considered in various prostate examination.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.6
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• pp.20-30
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• 2003

In a conventional method based on quadrature 2D Gator wavelets to extract iris features, the iris recognition is performed by a 256-byte iris code, which is computed by applying the Gabor wavelets to a given area of the iris. However, there is a code redundancy because the iris code is generated by basis functions without considering the characteristics of the iris texture. Therefore, the size of the iris code is increased unnecessarily. In this paper, we propose a new feature extraction algorithm based on the ICA (Independent Component Analysis) for a compact iris code. We implemented the ICA to generate optimal basis functions which could represent iris signals efficiently. In practice the coefficients of the ICA expansions are used as feature vectors. Then iris feature vectors are encoded into the iris code for storing and comparing an individual's iris patterns. Additionally, we introduce two methods to enhance the recognition performance of the ICA. The first is to reorganize the ICA bases and the second is to use a different ICA bases set. Experimental results show that our proposed method has a similar EER (Equal Error Rate) as a conventional method based on the Gator wavelets, and the iris code size of our proposed methods is four times smaller than that of the Gabor wavelets.