• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.1
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• pp.43-59
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• 2012

The purpose of this study was to compare knitwear design preferences and purchase behaviors of university students by sex. The subjects were 493 university students in Daejeon and Gongju provinces. The research method was a survey and measurement instruments were 16 stimuli which were manipulated of knitwear shape and self-administrated questionnaire (knitwear design preference items, knitwear favorite image items, purchase behavior items and subject' demographic attributions). Data were analyzed by factor analysis, frequency analysis, t-test, Cronbach' ${\alpha}$ using SPSS program. The results of the study were as follows. First, as for pullover designs according to pullover shape factors, male preferred classic design with normal round neck, set-in sleeves and normal length, whereas female preferred various designs with normal round, normal V or deep V neck, set-in sleeves and normal or long length. Second, there was significant difference by sex in knitwear patterns and materials. Male preferred geometric patterns and 100% cotton, whereas female preferred natural patterns and blended cotton. Third, 4 factors were emerged on knitwear favorite images(casual image, modem classic image, active image and characteristic image). Especially, there was significant difference by sex in active image. Male preferred active image, whereas female did not. Fourth, as for knitwear purchases, male considered fitting as important purchase criteria, whereas female considered design or style. Male used department stores for purchasing, whereas female used Bosejeom for independent fashion. Male preferred high quality knitwear to female.

• Journal of Biomedical Engineering Research
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• v.26 no.3
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• pp.129-132
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• 2005

It is one of the most important issues to determine a target brain image that gives a common coordinate system for a constructing population-based brain atlas. The purpose of this study is to provide a simple and reliable procedure that determines the target brain image among the group based on the inherent structural information of three-dimensional magnetic resonance (MR) images. It uses only 11 lines defined automatically as a feature vector representing structural variations based on the Talairach coordinate system. Average characteristic vector of the group and the difference vectors of each one from the average vector were obtained. Finally, the individual data that had the minimum difference vector was determined as the target. We determined the target brain image by both our algorithm and conventional visual inspection for 20 healthy young volunteers. Eighteen fiducial points were marked independently for each data to evaluate the similarity. Target brain image obtained by our algorithm showed the best result, and the visual inspection determined the second one. We concluded that our method could be used to determine an appropriate target brain image in constructing brain atlases such as disease-specific ones.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.9
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• pp.1331-1341
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• 2002

The purpose of the study is to clarify orange image in the modem fashion. So kinds of costume sample being visual power in orange have been selected from photographs in fashion magazines and divided into the tones : mist(Vp, Lgr, L), bright(p, B), vivid(S, V, Dp). The study was measured by using 27 semantic differential hi-polar scales. The subjects were 50 female students majoring in clothing and textiles, The data was analyzed using the statistical SPSS package. The data were collected using self-administred questionnaires and analyzed by MDS, Cluster Analysis, ANOVA Sheff test and Regression analysis. The major findings of this research were as follows. 1. Evaluaion dimension of orange was classified as Feminine-Mannish, Lively-Mist.2. There were significant difference in visual evaluation of tones.3. The image effect on Preference, Buying needs, Pleasant and Riches was consist of complicated sensibility.

• Journal of the Korean Institute of Landscape Architecture
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• v.24 no.2
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• pp.1-12
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• 1996

In order to develope a road landscape that is in harmony with landscaping purpose, degree of sight occupation by slopes at road sides was measured and physical elements composing the slope scenery were visually evaluated and the results are as follows : In analysis of sight occupation ratio by perspective method, gradient of the slopes influenced more on the sight occupation than height did and the driving lane occupied 2 to 3% more proportion of sight than the passing lane. When there is slope at one side of the road, difference in sight occupation between the lanes was increasing with deceased height and with increased gradient of the slopes. In visual analysis of the slope scenery, negative image was increasing with narrow road, increased height and gradient of the slopes. In visual analysis of the slope scenery, negative image was increasing with narrow road, increased height and gradient of the slopes. Particularly, the effect of gradient was critical on scenery. The effect of the slopes was negative at 60$^{\circ}$ or more but positive at 45$^{\circ}$or less gradient. This phenomenon was more conspicuous with wide 4 lane roads than wide 2 lane roads. Although direct comparison is difficult due to a great difference between Korea and U.S.A. in climate, land condition, road dimension, and public process of purchasing land, etc, it is desirable to treat road sides so that the scenery is in harmony with landscape around as well as emphasizing the regional characteristics, also giving friendly and comfortable image to drivers and nearby residents in addition to safety as can be seen in U.S.A.

• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.24 no.2
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• pp.439-450
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• 1994

Recently, the digital image was introduced into radiological image. The digital image has the power of contrast enhancement, histogram control, and other digitally enhancement. At the point of the resolution, periapical radiograph is superior to the digital image, but enhanced digital procedure improves the diagnostic ability of the digital image. The purpose of this study was to evaluate the diagnostic ability of artificial proximal caries in conventional radiographs, digital radiographs and enhanced digital radiographs (histogram specification). ROC (Receiver Operating Characteristic) analysis and paired t-test were used for the evaluation of detectability, and following results were acquired: 1. The mean ROC area of conventional radiographs was 0.9274. 2. The mean ROC area of unenhanced digital image was 0.9168. 3. The mean ROC area of enhanced digital image was 0.9339. 4. The diagnostic ability of three imaging methods was not significant difference(p>0.05). So, the digital images had similar diagnostic ability of artificial proximal caries to conventional radiographs. If properly enhanced digital image, it may be superior to conventional radiographs.

• Journal of Fashion Business
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• v.5 no.3
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• pp.73-84
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• 2001

The purpose of this study is to apply fundamental data of impression formation research by analysing and observing the various facial image that can be effected from hair style as well as be helpful for choosing suitable hair style for T.P.O in modern society. This study targeted 305 college women in Daegu and Gyung-book area. Hair Style Image Scale(HSIS)was used the scale of seven point modified the S-D(Semantic Differential) method. The analysis of impression formation effect of hair style using SPSS WIN package have completed from the principal component analysis by Varimax perpendicular rotation method and ANOVA was used to recognize the difference in impression formation according to hair style change. In the case of statistical difference was appeared, LSD post-verification was applied for that. The conclusions of this study is as followed ; 1. The factors of impression formation effected by hair style were classified as goodwill factor, refinement factor, elegance factor and individuality factor. 2. In terms of goodwill factor, long hair style showed highest level and short cut hair, bobbed hair in an order. In refinement factor, there was no difference between short cut hair and bobbed hair and both of them was higher than long hair. In elegance factor, long hair was highest and bobbed hair was lowest. In individuality factor, short cut hair and bobbed hair higher than long hair and no difference between short cut hair and bobbed hair.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.2
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• pp.243-251
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• 2004

This study was interested in examining the image of a co-brand with the case of＇CHIMERIC＇, the co-brand of Daegu city in Korea. The purpose of the study was to investigate the difference in brand image by brand knowledge and the effects of brand image on brand preference, brand purchase, and brand satisfaction. A total of 354 questionnaires collected from the region(Daegu)＇s residents, who were aware of CHIMERIC, were analyzed. Factor analysis extracted 6 factors of brand image including symbolic image, product, ad, price, distribution, and publicity. The results revealed that there were differences in product and publicity images by brand knowledge. Symbolic and publicity images and brand knowledge affected brand preference, which in turn had the strongest effect on brand purchase. Brand knowledge also affected brand purchase while no direct effect of brand image was observed. Brand satisfaction was affected by brand preference, publicity, and ad image.

• Journal of Advanced Marine Engineering and Technology
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• v.25 no.4
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• pp.898-903
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• 2001

The particle image velocimetry with liquid crystal tracers is used for visualizing and analysis of the bubbly flow in a vertical temperature gradient. This method allows simultaneous measurement of velocity and temperature field at a given instant of time Quantitative data of velocity were obtained by applying the MQD technique to visualized image. The paper describes the method, and presents the transient velocity patterns of bubbly flow.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.605-608
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• 1999

In this paper, we proposed several scene analysis algorithms. These algorithms using image difference and histogram operate on the sequence of DC coefficient which is extracted from Motion JPEG or MPEG without full-frame decompression. Since DC sequence has the most information of full frame while it has reduced data. Experimental results show less than 1/64 of full frame analysing complexity and exactly analyze scene changes and extract key frames.

• Journal of KIISE:Software and Applications
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• v.31 no.7
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• pp.911-921
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• 2004

Accurate minutiae extraction from input fingerprint images is one of the critical modules in robust automatic fingerprint identification system. However, the performance of a minutiae extraction is heavily dependent on the quality of the input fingerprint images. If the preprocessing is performed according to the fingerprint image characteristics in the image enhancement step, the system performance will be more robust. In this paper, we propose a knowledge-based preprocessing method, which extracts S features (the mean and variance of gray values, block directional difference, orientation change level, and ridge-valley thickness ratio) from the fingerprint images and analyzes image quality with Ward's clustering algorithm, and enhances the images with respect to oily/neutral/dry characteristics. Experimental results using NIST DB 4 and Inha University DB show that clustering algorithm distinguishes the image Quality characteristics well. In addition, the performance of the proposed method is assessed using quality index and block directional difference. The results indicate that the proposed method improves both the quality index and block directional difference.