• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.1
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• pp.115-123
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• 2001

This paper discussed the assessment of hand of cotton fabrics by enzymatic hydrolysis. The subjective hand and preference of denim fabrics finished by enzymatic hydrolysis were evaluated using the scale developed. The factors affecting consumers taste for denim fabrics were analyzed by the statistical technique. The effects of enzymatic hydrolysis on the properties of cotton fabrics were also evaluated by subjective hand measurements. The results are as follow; As the weight loss increased, evaluators thought that fabrics become finer, smoother, softer, warmer and more refined, and the sense of durability is sleeker and weaker, and the sense of weight is more flexible, flossier, lighter, softer, thinner. They didnt catch the change of moisture related properties according to the rate of weight loss. They also thought fabrics became more elastic, and less wrinklier as the weight loss increased. As the weight loss increased, the fabric was more preferred. The limited weight loss which changes the preference from \"dislike\" to \"like\" was 12.87%. The most preferred fabric was that with 12.87% of weight loss. It is supposed that the preference of fabric was related to the terms such as \"sum-se-ha-da\"(섬세하다), \"mai-ku-rup-da\"(매끄럽다), \"yoo-yon-ha-da\"(유연하다), \"too-bak-ji-an-da\"(투박하지 않다), \"chom-chom-ha-da\"(촘촘하다), \"gil-ki-da\"(질기다), \"kun-juk-goe-ri-ji-an-da\"(끈적거리지 않다), \"ku-kim-i-ka-ji-an-nun-da\"(구김이 가지 않는다).

• Journal of Korea Spatial Information System Society
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• v.10 no.2
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• pp.13-24
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• 2008

A next generation video based car navigation is researched to supplement the drawbacks of existed 2D based navigation and to provide the various services for safety driving. The components of this navigation system could be a load object database, identification module for load lines, and crossroad identification module, etc. In this paper, we proposed the traffic lights and road sign recognition method which can be effectively exploited for crossroad recognition in video-based car navigation systems. The method uses object color information and other spatial features in the video image. The results show average 90% recognition rate from 30m to 60m distance for traffic lights and 97% at 40-90m distance for load sign. The algorithm also achieves 46msec/frame processing time which also indicates the appropriateness of the algorithm in real-time processing.

• Science of Emotion and Sensibility
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• v.18 no.3
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• pp.71-80
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• 2015

Minimalism means abstinence characterized by simplicity, clarity, repetition, and exclusion while skeuomorphism means visual metaphor design characterized by retro, function, and emotion. Mobile platform interface has been developed based on those two aesthetic characteristics and user experience is evaluated using apple iOS6 and iOS7 representing skeuomorphism and minimalism respectively in this paper. Those two aesthetic designs on typography, color, and icon were tested with a sample of 35 undergraduate participants in the repeated measures design and the results showed that participants distinguished two types of aesthetic designs, and evaluated that iOS7 is superior to iOS6 on typography and identity. Comparing the levels of the three variables, aesthetic of typography, and accuracy, aesthetic and consistency of icon design were significantly differentiated and this means that although accuracy of icon design of iOS6 is superior to iOS7, iOS7 is superior in the rest of it. Overall, the participants had a positive evaluation toward iOS7.

• The Journal of Korean Association of Computer Education
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• v.8 no.6
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• pp.103-111
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• 2005

This paper presents a novel automated threshold-decision algorithm that uses the mean and standard-deviation values obtained from the difference values of consecutive frames. At first, the calculation of difference values is obtained by the weighted ${\chi}^2$-test algorithm which was modified by joining color histogram to ${\chi}^2$-test algorithm. The weighted ${\chi}^2$-test algorithm can subdivide the difference values by imposing weights according to NTSC standard. In the first step, the proposed automatic threshold-decision algorithm calculates the mean and standard-deviation value from the total difference values, and then subtracts the mean value from the each difference values. In the next step, the same process is performed on the remained difference values, and lastly, the threshold is detected from the mean when the standard deviation has a maximum value. The proposed method is tested on various video sources and, in the experimental results, it is shown that the proposed method efficiently estimates the thresholds and reliably detects scene changes.

• Korean journal of communication and information
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• v.54
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• pp.5-31
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• 2011

In this paper, the news coverage of Chosun Art Exhibition(鮮展) in the Japanese occupational era were analyzed by the discourse analysis technique. Japan was advocated the slogan of 'escape from the asia go to the west' and calls itself as western civilized nations during Japanese occupational era. Japan's colonial rule in Asia has created a Japanese orientalism that Japan is considered as developed, and the other Asian countries are considered underdeveloped countries. The media discourse of Chosun Art Exhibition make to believe that the 'backwardness' of Korean local color arts, unlike the 'colonial superiority' of Japanese arts. In the analysis of the newspapers, Maeil Shinbo and Donga Ilbo, Japan recognize Korean arts as the 'assimilation' of Japanese arts, but with the other hand recognize the 'exclusion' of Japanese arts had a dual-in. Especially, Donga Ilbo has a vision of orientalism on the one hand and has a nationalistic perspective on the other hand.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.3
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• pp.171-180
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• 2003

A content-based image retrieval(CBIR) system builds the image database using low-level features such as color, shape and texture and provides similar images that user wants to retrieve when the retrieval request occurs. What the user is interest in is a response time in consideration of the building time to build the index database and the response time to obtain the retrieval results from the query image. In a content-based image retrieval system, the similarity computing time comparing a query with images in database takes the most time in whole response time. In this paper, we propose the two-phase search method with the clustering technique of feature vector in order to minimize the similarity computing time. Experimental results show that this two-phase search method is 2-times faster than the conventional full-search method using original features of ail images in image database, while maintaining the same retrieval relevance as the conventional full-search method. And the proposed method is more effective as the number of images increases.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.38 no.1
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• pp.45-52
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• 2001

The proximal isovelocity surface area (PISA) method is an effective way of measuring the regurgitant blood flow rate in the mitral valve. This method defines the modelling required to describe the geometry of the isotach of the PISA. In the normal PISA flow model, the flow rate is calculated assuming that the surface of the isotach is either hemispherical or non-hemispherical numerically. However, this paper evaluated the estimate flow rate using a direct surface subdivision flow model based on the height field after isotach extraction using a region-based scheme. To validate the proposed method, the various PISA flow models were compared using pusatile color Doppler images with flow rates ranging from $30\;cm^3/sec\;to\;60\;cm^3/sec$ flow rate. Whereas the hemispherical flow model had a mean value of $29\;cm^3/sec$ and underestimated the measured flow rate by 35%, the proposed model and non-hemispherical model produced a c;ame mean value of $45\;cm^3/sec$, moreover, both flow models produced a similar pulsatile flow rate.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.6
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• pp.17-21
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• 2000

Typical image features such as color, shape, and texture are used in content based image retrieved. Retrieval which uses only one image feature has little performance in case that the content of image is complex or database contains many images. So, many approaches for integrating these features have been studied. However, the problem of these approaches is how to appropriately weight the image features at query time. In this paper, we propose a new retrieval method using automatically weighted image features. We perform computer simulations in test database which consists of various kinds of images. The experimental results show that the proposed method has better performance than previous works, which use fixed weight for each feature mostly, in respect to several performance cvaluations such as precision vs recall, retrieval efficiency, and ranking measure.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.42 no.4
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• pp.15-20
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• 2005

If we can forecast the replacement time of engine oil, we extend the life-time of our engine and increase the continued ratio. But, the replacement times of engine oil is influenced by the following elements: the distance that cars or vehicles travel, vehicles that run a short range, types of engine oil etc. that run a long distance. In this paper, We forecast engine oil replacement times by using fuzzy neural network algorithm. This algerian uses the data of distance covered, color of engine oil etc. Through a sequence of simulation, the exchange system of intelligence style engine oil decides on the replacement times of engine oil quite accurately. Therefore, We expect vehicles to become more convenient if the above algorithm is a lied to the present types of cars.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.5
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• pp.132-140
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• 2016

In this paper, we propose boundary-preserving stereo matching method based on adaptive disparity adjustment using confidence region detection. To find the initial disparity map, we compute data cost using the color space (CIE Lab) combined with the gradient space and apply double cost aggregation. We perform left/right consistency checking to sort out the mismatched region. This consistency check typically fails for occluded and mismatched pixels. We mark a pixel in the left disparity map as "inconsistent", if the disparity value of its counterpart pixel differs by a value larger than one pixel. In order to distinguish errors caused by the disparity discontinuity, we first detect the confidence map using the Mean-shift segmentation in the initial disparity map. Using this confidence map, we then adjust the disparity map to reduce the errors in initial disparity map. Experimental results demonstrate that the proposed method produces higher quality disparity maps by successfully preserving disparity discontinuities compared to existing methods.