• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.6
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• pp.1382-1390
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• 1995

Electronic Speckle Pattern Interferometry (ESPI) with a CW laser, a video system and an image processor was utilized to measure the in-plane displacement. Unlike traditional strain gauges or Moire method. ESPI method measure the in-plane displacement on real time with out any surface preparation on surface attachment. The specimen has a crack of 10*0.1 mm in the middle of plate and strain gauge was also attached on that surface to compare with ESPI method. This study reveled the ESPI method to measure the displacement and distribution of strain in the specimen. It was shown in tensile tests that the measurement by ESPI method was comparable with strain gauge.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.845-850
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• 2003

The scattered light pattern from a machined surface generally contains much information concerning the surface roughness. The light pattern can be acquired by optical system and analyzed by statistical method. This kind of surface roughness measurement system can be easily adopted on the machine measurement. But the fully assembled system is too complex to implement on small systems using micro-controller. This study proposes the idea of reducing the number of optical components by removing screen and examines image processing of a light pattern to minimize the negative result of incomplete optical system. And the Gaussian blur filtering is concluded to be the best method of proposed measurement system. Furthermore light intensity variation of image pattern can be treated as a signal, therefore FIR filtering gives the similar result of Gaussian blur effect.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.585-590
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• 2000

Recently, It is gradually raised necessity that thickness of thin film is measured accuracy and managed in industrial circles and medical world. Ultrasonic Signal processing method is likely to become a very powerful method for NDE method of detection of microdefects and thickness measurement of thin film below the limit of Ultrasonic distance resolution in the opaque materials, provides useful information that cannot be obtained by a conventional measuring system. In the present research, considering a thin film below the limit of ultrasonic distance resolution sandwiched between three substances as acoustical analysis model, demonstrated the usefulness of ultrasonic Signal processing technique using information of ultrasonic frequency for NDE of measurements of thin film thickness, sound velocity, and step height, regardless of interference phenomenon. Numeral information was deduced and quantified effective information from the image. Also, pattern recognition of a defected input image was performed by neural network algorithm. Input pattern of various numeral was composed combinationally, and then, it was studied by neural network. Furthermore, possibility of pattern recognition was confirmed on artifical defected input data formed by simulation. Finally, application on unknown input pattern was also examined.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.687-690
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• 1988

Algorithms that represent given pattern in the form of an ARG (Attributed relational graph) using not only structural relations but also symbolic or numerical attributes, and then recognize that pattern by graph matching process are presented in this paper. Based on definitions of pattern deformational models, algorithms that can find GPECI(Graph preserved error correcting isomorphism). SGECI(subgraph ECI) and DSECI(Double subgraph ECI) are proposed and comparisons among these algorithms are described. To be useful in performig practical tasks, efficient schemes for extraction of ARG representation fron raw image are needed. In this study, given patterns are restricted within objects having distinct skeleton, and then the information which is necessary for recognition and analysis is successfully extracted.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.1
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• pp.55-68
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• 2008

This study is aiming to set a characteristic design and a fashion trend by analyzing hat style trends and fashion images shown in fashion collections in recent seven years. Also, based on the result of the analysis on the five world's major collections, the influence and the interrelation of hat and fashion image were analyzed. The study was performed by the context analysis method and the image evaluation method. In the context analysis method, the 1,391 pictures for hat-styles which were believed to be the standard of fashion style from the S/S season of 1998 to the F/W season of 2004 were analyzed. The research is summarized as follows. Based on the result of the fashion collections, the kinds of hats came Bowler, Beret, Cloche, Capeline, Cap and Hood in order, and Casual, Feminine, Natural, Formal, Romantic, and Mannish came in order for the case of the fashion images for putting on a hat. The result of the analysis on the characteristic of fashion design according to the kinds of hats, the casual image, with highest frequency, was found from all of the kinds except Capeline. Bowler and Cloche were conspicuous in jackets/slacks, Capeline was conspicuous in one-piece shape, and cloth silhouette showed the highest frequency in H type. As for Bowler, the color of cloth and hat was mostly black, and as for Beret and Cloche, achromatic color showed the highest frequency. But as for Capeline, the cloth color, including chromatic color, was various. As for Beret, pattern and material image were various comparatively, but as for other kinds of hats, there were the materials with no pattern and with hard material image.

• Fibers and Polymers
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• v.6 no.2
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• pp.162-168
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• 2005

A methodology for the objective evaluation of water repellency is studied using image analysis of the sprayed pattern on woven fabrics according to a standard spray test (AATCC Test Method 22-2001). The wet area ratio obtained from the spray standard test ranking is found to be exponentially related with its water repellency rating. Mean filtering is used to remove the effect of weave texture and the transmitted light through interyarn spaces. The ring frame of the instrument and wet region are recognized using Otsu thresholding technique. And Hough transform and outline operation are used to obtain the size and position of the ring frame. The objective assessment of the water repellency using image processing can reduce unnecessary confusion in the subjective determination of the water repellency.

• Journal of Navigation and Port Research
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• v.28 no.9
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• pp.821-825
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• 2004

The purpose of this study is the assessment of changes in the leisure patterns of users of the Eulsook-do before and after the estuary dike construction. The following survey research method was conducted to implement the study, sampling by age was carried out selectively and randomly alike. A total of 319 persons were chosen for final analysis, excluding questionnaires answered found to be inappropriate. To measure the image of the lower Nakdong River around the Eulsook-do, with advice sought from experts, researchers, through several pilot tests, developed a 24-item semantic differential scale(SDS) that has two bi-polar adjectives at each end Study of the pre- and post- construction images of the Eulsook-do located on the coast of Busan suggests the dike construction has brought about negative changes in the Eulsook-do's overall image. There can be two alternatives for improving the negative image: restoration and development.

• Journal of the Korean Society of Costume
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• v.50 no.2
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• pp.151-165
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• 2000

This study was to find out clothing design preferences, according to the clothing self-image of elderly women and to grasp the variety on clothing of elderly women and thereby to help in merchandise production planning and putting the brands into markets and to provide data for establishing a sales strategy a d to itemize women with the goods which can satisfy the desire and taste of consumer groups in the quality market. For this purpose , various researches as above were conducted .The object of this study was a total of 488 elderly women above full 55 from an elderly women and who lived in downtown Pusan. The data were analysed by using MANOVA, ANOVA , factors analysis and frequency analysis, and the Cronbach α was also applied . The conclusions made based on the theoretical background and the result of questionnaire surveys are as follows ; 1. The realistic self-image of clothing showed a similar pattern by age. 50's and 60's showed little difference by item but 70's was greater in variation between items compared to 60's. The response to each item was that most people answered "common" and they showed a pattern that responded low only in items of 'colorful' , individualistic', 'susceptible to fashion'. A similar pattern was shown by age band also in the ideal self-image and the response to each item appeared higher than in the realistic self-image , and also in items of 'colorful', 'individualistic ' , 'susceptible to fashion' the response appeared low and showed a unity. 2. The results of clothing design preferences examined on the self-image according to age are as follows ; 1) Fro jacket in the realistic self-image , 50's and 60's preferred 'tailed collar' , 'set-in sleeve', 'hips long' and 'plain jacket' and 70's agreed to the design preferences in the items except 'open collar' and also in the idealistic self-image , the degree of preference was same. 2) For skirt in the realistic self-image , 50's and 60's preferred 'tight skirt', 'normal length' , 'plain skirt' and it was appeared that 70's preferred 'pleat skirt' , 'medium length' , 'plain skirt'. Also in the idealistic self-image , the degree of preference was same. 3) For blouse in the realistic self-image, 50's preferred 'open collar', 'round neck line' , 'long set-in sleeve' , 'plain separation belt', 'open front', 'zipper' ad 60's agreed to the favorite designs with 50's except puff sleeve, and 70's appeared to prefer fastening buttons without belt. In the designs preferred in the idealistic self-image, 50's agreed with 50's of the realistic self-image and for 60's , the designs except puff sleeve type and no belt type agreed to 50's and 70's except puff sleeve agreed with 70's of the realistic self-image in their design preferences.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.861-864
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• 2009

Recently, the biometric recognition technology of veins in different parts of hand is very active. In this paper the image hierarchical slicing provides a way to detect vein patterns. The scanned vein image will be sliced into various thicknesses. We first get the average brightness values of the sliced image and then convert them into curvature where we can detect candidates of the vein. The candidates of the vein are used to do a further analysis. We search all of the vein candidates and analyze them to get the real vein pattern in the overlapping extraction. We propose this novel algorithm to detect the vein pattern from the original image.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.339-342
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• 2005

We present an efficient block-based motion estimation algorithm with motion analysis. The motion analysis determines a size of search pattern and a maximum repeated count of search pattern. In case of large movement in large image, we reduce search points and the local minimum which caused by low performance. The proposed algorithm employs with searching step of 2. The first step determines an initial search point with neighbor block vector and a size of initial search pattern. The second step determines a size of search pattern and a maximum repeated count with motion analysis. We improve motion prediction accuracy while reducing required computational complexity compared to other fast block-based motion estimation algorithms.