• International Journal of Precision Engineering and Manufacturing
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• 제4권5호
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• pp.41-46
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• 2003

Electronic Speckle Pattern Interferometry (ESPI) has been recently developed and widely used because it has the advantage of being able to measure surface deformations of engineering components and materials in industrial areas without contact. The speckle patterns formed with interference and scattering phenomena can measure not only the out-of-plane but also the in-plane deformations. Digital image equipment processes the information included in the speckle patterns and displays the consequent interferogram on a computer monitor. In this study, the experimental results of a canti-levered plate using ESPI were compared with those obtained from the simple beam theory. The ESPI results of the canti-levered plate, analyzed by 4-step phase shifting method, are close to the theoretical expectation. Similarly, out-of-plane displacements of a spot welded canti-levered plate were also measured by ESPI with 4-step phase shifting technique. The phase map of the spot welded canti-levered plate is quite different from that of the canti-levered plate without spot welding.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 한국추진공학회 2006년도 제27회 추계학술대회논문집
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• pp.146-149
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• 2006

Spray characteristics of an injector employed in mono-propellant hydrazine thrusters were investigated by PIV(particle image velocimetry) and LDA/PDA(laser/phase Doppler anemometry) techniques. The instanteneous plane image data captured by PIV measurement were examined in order to judge a pass-fail criteria of spray injection performance according to the specific pressure supplied. LDA/PDA technique were also applied to measure the velocity and droplet size of spray were not obtained from PIV measurement. The objective of this experimental study was the clear understanding of spray characteristics as well as the derivation of injector performance to understand clearly the spray characteristics by comparing the both results.

• Proceedings of the KSME Conference
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• 대한기계학회 2001년도 추계학술대회논문집B
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• pp.211-216
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• 2001

Flow motion and variation of thermal field around a bubble which attached at the upper cooled solid wall in a $B\dot{e}nard$ convection flow is studied experimentally using thermo-sensitive liquid-crystal tracers and image processing for flow visualization and analysis. The air is injected gradually by $0.1m\ell$ to make the bubble. As the growing of the bubble in a $B\dot{e}nard$ convection flow, the variation of temperature field and surface tension along the bubble, which in turn cause to change the thermal field patterns and the flow direction and patterns. 6 cells flow pattern is transformed into diverse flow pattern. At the large size of a bubble, it's only conduction mechanism under the region of the bubble because of low Ra number 1137, but the convection flow both sides of the bubble leads to another convection flow in the bubble influence area which has been remained stable stagnation.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 한국전기전자재료학회 1999년도 춘계학술대회 논문집
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• pp.712-715
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• 1999

Treeing has a profit to observe processing electrical breakdown because it gives degradation steps of insulation material by optical method. But, reappearance properly of treeing is not so good and precise quantization of tree growth is not so easy because tree Patterns are very complicate. The study on tree growth using image processing is predicted to precision of tree degradation and possible to quality measurement of tree pattern. In this paper, degradation steps are analyzed by image processing, therefore precision and realiability of tree growth are increased. Also, processing of tree degradation is quantized by fractal.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제41권2호
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• pp.198-205
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• 2016

In the contemporary world, the breakthrough of the ultra-modern technologies has been blessed with the camera. This device has become omnipresent either integrated on with other devices such as smartphones, notebooks, laptops, handheld devices and so on. In addition, digital signage, display and monitors have also become very widespread around us everywhere. These types of scenarios have made imaginable to imagine about the consuming of the unused resources. The dual use of displayed contents can make it possible to use it as an advertisement as well as a transmitter for camera based communication. In this study, a digital watermarking algorithm based communication method has been analyzed. We have introduced Binary Pattern (BP) based a new message extracting algorithm to extract message in an efficient way from the watermarked image compared to other algorithms. Besides, the previous works using camera and display have been illustrated using comparative analysis. This paper has demonstrated an advantageous overview using the experimental results which reveals that the proposed methodology significantly reduces the complexity while augmenting the advantages of the proposed scheme. Moreover, the simulation results have shown the advantages of the proposed scheme over the other schemes.

• Journal of the Korea Fashion and Costume Design Association
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• 제23권4호
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• pp.117-132
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• 2021

As the golfwear market grows rapidly and expands due to the influx of MZ generation golfers, competition among brands is intensifying, so it is necessary to plan knit golf wear products that are suitable for the consumer needs. The purpose of this study is to contribute to product planning by analyzing the design characteristics of women's knitted golfwear products among golfwear brands. First, the top 10 brands, as selected by Golf Magazine, were used for analysis. The selected brands include PXG, Titleist Apparel, Wide Angle, Pearlygates, Footjoy Golf, Castelbajac, Fantom, Ping, Le Coq Golf, and PGA Tour & LPGA. 692 women's cross-knit knitwear products were investigated based on design elements, such as flat tissue, gauge, color, pattern, image, and items. The characteristics of women's knitted golfwear showed a high utilizations of Jacquard and high gauge Intarsiafor pattern expression and a low variety of deformed stich. The proportion of achromatic colors is large, and many brands use point colors based on black and white. Brand identity is important, and brand letters, Monograms are frequently used, and the proportion of sportive and modern image in the products is high. With the increase of MZ generation golfers, the preferred design direction will change and gradually deepen.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권3호
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• pp.1390-1403
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• 2016

Facial expression recognition (FER) plays a very significant role in computer vision, pattern recognition, and image processing applications such as human computer interaction as it provides sufficient information about emotions of people. For video-based facial expression recognition, depth cameras can be better candidates over RGB cameras as a person's face cannot be easily recognized from distance-based depth videos hence depth cameras also resolve some privacy issues that can arise using RGB faces. A good FER system is very much reliant on the extraction of robust features as well as recognition engine. In this work, an efficient novel approach is proposed to recognize some facial expressions from time-sequential depth videos. First of all, efficient Local Binary Pattern (LBP) features are obtained from the time-sequential depth faces that are further classified by Generalized Discriminant Analysis (GDA) to make the features more robust and finally, the LBP-GDA features are fed into Hidden Markov Models (HMMs) to train and recognize different facial expressions successfully. The depth information-based proposed facial expression recognition approach is compared to the conventional approaches such as Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Linear Discriminant Analysis (LDA) where the proposed one outperforms others by obtaining better recognition rates.

• Korean Journal of Community Nutrition
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• 제15권5호
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• pp.656-669
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• 2010

Rapid shift to western dietary patterns and social drive of thinness would lead to increase the likelihood of developing eating disorders. This study was performed to analyze the associated factors between dietary pattern and self visualization in terms of body shape, which may increase the risk of disturbed eating attitudes among high school students in Korea. A cross-sectional study was conducted from 2009 to 2010 for high school students including both male and female students, from 6 schools in Gyunggi Province, Korea. A total of 766 students self-reported a questionnaire, including weight control practice, perceptions of self body image and ideal body image, dietary habit, and EAT-26 (Eating Attitude Test-26). Logistic regression analysis was used to fine the factors potentially associated with disturbed eating attitudes. Statistical analysis was conducted using SAS program (version 9.1). Results showed that disturbed eating attitudes were found in 8.7% of male high school students, and in 20.8% of female high school students. Experience of body weight control was reported by 56.2% of male students and by 87.3% of female students. According to multiple logistic regression analysis, obesity was independently associated with high risk of disturbed eating attitudes in male students [Odds Ratios (OR) 2.96, 95% Confidence Interval (CI) 0.90-9.71]. Body image dissatisfaction (OR 2.77, 95%CI 1.37-5.62) and extended family type (OR 2.70, 95%CI 1.05-6.90) were independently associated with high risk of disturbed eating attitudes, especially in female students. In conclusion, proper efforts in education for obesity and developing self-esteem to reduce the risks of disturbed eating attitudes should be implemented in high school nutrition program.

• Journal of the East Asian Society of Dietary Life
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• 제21권3호
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• pp.429-437
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• 2011

This study evaluated on the purchasing patterns for bakery products and the effects of brand image on consumers' purchasing power while living in the Seoul area. The questionnaires developed for this study were distributed to 400 males and females aged 20 and older. A total of 385 questionnaires were used for analysis (96.0%) and the statistical analysis, descriptive analysis, and $x^2$-test were completed using SPSS (version 14.0) software. When purchasing bakery products, 'taste' (59.7%) was most important followed by 'shape and size' (13.2%), 'ingredients' (11.7%), 'price' (7.5%), 'expiration date' (5.2%). 'origin of ingredients' (2.1%), and 'packaging' (0.5%). Subject showed significant differences in their purchase of bakery products based on characteristics including 'age' (p<0.05), 'occupation' (p<0.01), 'type of family' (p<0.01), and 'income' (p<0.1) The most influential factor in purchasing bakery products was 'material' (score=3.73), followed by 'name value' (score=3.56). Brand image of bakery had an effect on bakery products as 'present' (score=3.83), 'sanitation' (score=3.58). And, the most high respondent in basis of deciding brand image consumer's was 'clean and nice interior'(53.1%), followed by 'high quality ingredients and packaging'(23.7%).

• KSTLE International Journal
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• 제2권1호
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• pp.65-70
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• 2001

The wear debris is fall off the moving surfaces in oil-lubricated systems and its morphology is directly related to the damage and failure to the interacting surfaces. The morphology of the wear particles are therefore directly indicative of wear processes occurring in tribological system. The computer image processing and artificial neural network was applied to shape study and identify wear debris generated from the lubricated moving system. In order to describe the characteristics of various wear particles, four representative parameter (50％ volumetric diameter, aspect, roundness and reflectivity) from computer image analysis for groups of randomly sampled wear particles, are used as inputs to the network and learned the friction condition of five values (material 3, applied load 1, sliding distance 1). It is shown that identification results depend on the ranges of these shape parameters learned. The three kinds of the wear debris had a different pattern characteristics and recognized the friction condition and materials very well by neural network. We discuss how these approach can be applied to condition diagnosis of the oil-lubricated tribological system.