• The Journal of Natural Sciences
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• v.8 no.2
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• pp.225-236
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• 1996

Computer simulation methods for three area of textile design, wearing, and design were developed by using CAD system, and its results were applied to pattern design simulation. Textile design created by using the CAD system was applied to T-shirt schematization. Created wearing, printing, and knitting design respectively were applied to women clothing, children's wear, and men sweater. In this rearch, several equipped since various color working, materials, pattern development and swift intention decision of goods direction are possible on the moniter. Third, many goods order are rushed within short time because spot direction are possible on the moniter. Third, many goods order are rushed within short time because intention decision of buyer could be induced and embodied design almost reflection the buyer's will on the spot before production of goods and samples. Forth, time and expense were saved to get the information in terms of design information systematically and could be managed annually. Fifth, creative design development can be not only availed but saved the service expense of outside orders and the traffic expense.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.6C
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• pp.585-592
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• 2005

One of the most important things in the researches on diseases is to attach more importance to prevention of a disease and preservation of health than to treatment of a disease, also to foods rather than to medicines. In this context, the most significant concern in examining a patient is to find the presence of disease, and, if any, to diaguose the type of disease, after which a pharmacotherapy is followed. In this paper, various diagnosis methods of Oriental medicines are discussed. And ocular inspection, the most important method among the 4 disease diagnoses of Oriental medicines, is studied. Observing a person's shape and color has been the major method for ocular inspection, which usually has been dependent upon doctor's intuition as of these days. We are developing an automatic system which provides objective basic data for ocular inspection. As the first stage, we applied the signal processing techniques to automatic feature extraction of faces for ocular inspection. Firstly, facial regions are extracted from the point of frontal view, which was followed by extraction of their features. The experiment applied to 20 persons showed that frontal face regions are perfectly extracted, as well as their features, such as eyes, eyebrows, noses and mouths. Future work will seek to address the issues of morphological operation for a few unfinished extraction results, such as combined hair and eyebrows.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.443-449
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• 2015

In this paper, we proposed Channel allocation scheme according to the user's location with IR. In VLC System, LED can generate various colors of light by controlling the mixing ratio of each individual RGB color element. Thus, each RGB channel will have a different signal power, and each channel will have different performance. This proposed system using Visible light(RGB) as way to transmit signals, it depends on the mixture RGB, which decided the color of light, moreover, each things determined their performance. However, if the signal were fixed allocated RGB to transmit such as the original system, the importance of the each signals a different occur the limit on the quality of signals. To solve this problem in this paper, according to the RGB mixture ratios analyze the performance for the LED, which analyzed based on allocating the signal by transmitting to improve the quality was about how researched. In addition, our proposed system is able to improve the performance of BER and satisfied the Qos to desire users.

• Journal of Internet Computing and Services
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• v.16 no.2
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• pp.49-55
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• 2015

According to the statistics of traffic accidents over recent 5 years, traffic accidents during the night times happened more than the day times. There are various causes to occur traffic accidents and the one of the major causes is inappropriate or missing street lights that make driver's sight confused and causes the traffic accidents. In this paper, with smartphones, we designed and implemented a lane luminance measurement application which stores the information of driver's location, driving, and lane luminance into database in real time to figure out the inappropriate street light facilities and the area that does not have any street lights. This application is implemented under Native C/C++ environment using android NDK and it improves the operation speed than code written in Java or other languages. To measure the luminance of road, the input image with RGB color space is converted to image with YCbCr color space and Y value returns the luminance of road. The application detects the road lane and calculates the road lane luminance into the database sever. Also this application receives the road video image using smart phone's camera and improves the computational cost by allocating the ROI(Region of interest) of input images. The ROI of image is converted to Grayscale image and then applied the canny edge detector to extract the outline of lanes. After that, we applied hough line transform method to achieve the candidated lane group. The both sides of lane is selected by lane detection algorithm that utilizes the gradient of candidated lanes. When the both lanes of road are detected, we set up a triangle area with a height 20 pixels down from intersection of lanes and the luminance of road is estimated from this triangle area. Y value is calculated from the extracted each R, G, B value of pixels in the triangle. The average Y value of pixels is ranged between from 0 to 100 value to inform a luminance of road and each pixel values are represented with color between black and green. We store car location using smartphone's GPS sensor into the database server after analyzing the road lane video image with luminance of road about 60 meters ahead by wireless communication every 10 minutes. We expect that those collected road luminance information can warn drivers about safe driving or effectively improve the renovation plans of road luminance management.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.82-90
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• 2010

In this paper, A new stereo matching method based on reliability space is proposed to acquire 3D information from 2D image. In conventional stereo matching methods, speed is sacrificed to achieve high accuracy. To increase the matching speed while maintaining a high accuracy, this paper proposes this stereo matching method. It first makes the disparity space image for comparing all of the pixels on the stereo images. Then it produce reliability space through analyzing this value. and, By comparing the reliability space according to disparity, it makes disparity map. Moreover, the parts that make regional boundary errors are corrected by classifying the boundary of each region with the reference to color edge. The performance of the proposed stereo matching method is verified by various experiments. As a result, calculation cost is reduced by 30.6%, while the image quality of proposed method has similar performance with the existing method.

• Fashion & Textile Research Journal
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• v.17 no.5
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• pp.704-717
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• 2015

In modern fashion fabrics became an important element that leads the current of fashion beyond materials. Also, it has a creative role that reflects emotional and visual aspects, and it is considered as a mega trend that will lead the $21^{st}$ century fashion industry. The value of fashion products is affected not only by the style and design but also the sensuous properties like color, pattern, texture, and drape of fabrics. Therefore, in this study, characteristics of fabric trend between 2007 S/S and 2010 S/S will be analyzed focused on Premiere Vision, which influenced many Korean fashion trend information companies, while looking into the fabric trends shown in the world's top four collections-Paris, Milan, London, and New York-and Seoul collection, and comparing and analyzing the acceptance level of those. Fashion fabric is an important part in fashion design and change with social environment and value, its considered that the role and importance of subject matters increases in changing fashion design toward globalization by meeting various personality which is diversified more and more. It is to provide specific and practical data to be used for the Korean fashion industry, which can be used as useful information for future fabric researchers and people in the fashion industry for integrated study of fashion design and fashion fabric.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.221-228
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• 2005

The art appreciation education is emphasized to develope independent thought and upright value decision in the flood of various image medium. A experience of beauty and a express part related with the sentimental field is focused on directing in the seventh arts curriculum, too. Although the art appreciation education is emphasized, just expressive and functional art texture is still taught in the education spot up to now. Also a appreciative activity is limited simply to describe own feeling intuitionally ; time shortage, difficulty of analysis product, difficulty of guiding appreciation. In this paper I refer that analyze figurative factors of a art product, modify it by applying other program, compare with it and then I develope web base art appreciation system and apply it. As a result I get educational effect. When checking line, form, light and darkness, color, feeling, space and composition of external some factors in a product, formative sense and analytical appreciation is improved.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.43 no.5 s.311
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• pp.1-9
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• 2006

Because most applications of vision-based object tracking demonstrate satisfactory operations only under very constrained environments that have simplifying assumptions or specific visual attributes, these approaches can't track target objects for the highly variable, unstructured, and dynamic environments like a traffic scene. An adaptive fusion framework is essential that takes advantage of the richness of visual information such as color, appearance shape and so on, especially at cluttered and dynamically changing scenes with partial occlusion[1]. This paper develops a particle filter based adaptive fusion framework and improves the robustness and adaptation of this framework by adding a new distinctive visual attribute, an image feature descriptor using SIFT (Scale Invariant Feature Transform)[2] and adding an automatic teaming scheme of the SIFT feature library according to viewpoint, illumination, and background change. The proposed algorithm is applied to track various traffic objects like vehicles, pedestrians, and bikes in a driver assistance system as an important component of the Intelligent Transportation System.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.1
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• pp.37-50
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• 2011

This study analyzed the content of special selling events in internet shopping malls to establish academic standards for special selling events as tools for sales promotions and to suggest systematic guidelines for marketers designing special selling events. Based on a content analysis, the titles of special selling events from four internet shopping malls selling women's apparel were analyzed. A total of 692 titles were analyzed. The results are as follow. First, the contents categories of special selling events could be classified into two groups such as 'theme' and 'tool'. Season, product characteristics, style, advice/information, brand, annual/social events, and marketing events were the main content categories that came under the 'theme' group; in addition, the price benefit, free offers, product mix, and marketing technique were the main content categories that came under the 'tool' group. Each main content category was subdivided into several segment content categories. Second, most of the titles were composed of more than two segment content categories that involved various information and benefits; however, the portion of titles composed of only theme related content categories or only tool related content categories was substantial. Furthermore, the theme related content categories were more than the tool related content categories. Third, the usage frequencies of the contents categories were analyzed. The upcoming season, single brand, sale/discount, item/material/color, special price/lowest price, and period/time/quantity limits were the segment content categories that held a high rank. Forth, most of the factors that evoked the unplanned purchases of consumers were related to the content categories of special sale events.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2949-2955
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• 2015

Recently, with the sharp increase of digital visual media such as photographs, animations, and digital videos, it has been necessary to generate mosaic blocks in a static or dynamic image intentionally or unintentionally. In this paper, we suggest a new method for detecting mosaic blocks contained in a color image using boundary features. The suggested method first extracts Canny edges in the image and finds candidate mosaic blocks with the boundary features of mosaic blocks. The method then determines real mosaic blocks after filtering out non-mosaic blocks using geometric features like size and elongatedness features. Experimental results show that the proposed method can detect mosaic blocks robustly rather than other methods in various types of input images.