• The Journal of the Korea Contents Association
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• v.12 no.8
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• pp.87-95
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• 2012

We propose that a subjective image quality assessment based on objective image quality factors in order to evaluate objectively preference of consumers. In other words, we define objective image quality factors which are easy to accept by manufacturers and they are composed of subjective image quality assessment questionnaires. Also, portrait image is selected by stimulus in order to persue easiness of evaluation for the general subjects. Throughout a subjective image quality assessment model, we evaluate recognition of image quality by consumers and analyze the effectiveness of correlation in terms of the final image quality preference. Analyzing the relationship between image quality factors, we can figure out the preferable image quality and confirm the positive effects on consumers' recognition of image quality. In the results, there are strong relationship between preference and color reproduction, dynamic range, noise, and resolution respectively. especially, the characteristic of portrait, there is high correlation between color reproduction and preference.

• Journal of Korea Water Resources Association
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• v.38 no.10 s.159
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• pp.851-859
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• 2005

Normalized cross-correlation (correlation coefficient) is a useful measure for pattern matching in PIV (Particle Image Velocimetry) analysis. Because it does not have a corresponding simple expression in frequency domain, several fast but inexact measures have been used. Among them, three measures of correlation for PIV analysis and the normalized cross-correlation were evaluated with a sample calculation. The test revealed that all other proposed correlation measures sometimes show inaccurate results, except the normalized cross-correlation. However, correlation coefficient method has a weakpoint that it requires so long time for calculation. To overcome this shortcoming, a fast and exact method for calculating normalized cross-correlation is suggested. It adopts Fast Fourier Transform (FFT) for calculation of covariance and the successive-summing method for the denominator of correlation coefficient. The new algorithm showed that it is really fast and exact in calculating correlation coefficient.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.2
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• pp.18-22
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• 2010

The purpose of this study was to investigated correlation between personal aggression and skin conductance level during watching attack image. Twenty three male ($21.4\pm1.8$ years) college students participated in this experiment. A personal aggression of each subject measured by questionnaire. The experimental procedure consisted of four phases, i.e., rest state (15 min), control image 1 (2 min. 14 sec), aggression image (50 sec), and control image 2 (2 min. 14 sec). Control image 1 and 2 consisted of sea, mountain, and valley scenary. Aggression image used scenes of the violence movie. Skin Conductance Level (SCL) of electrothermal activity was measured during watching the images. The SCL was greater during aggression image than during control image 1 and 2. A negative correlation was found between aggressive personality and change rate of SCL during watching aggression image compared to control image 1. This results suggests that aggression image was accompanied by the higher activation of Sympathetic Nervous System (SNS). Also, the higher aggression scores, an increasing rate of SNS activation was become smaller during watching aggression image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2913-2929
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• 2014

Traditional vector quantization (VQ) schemes encode image blocks as VQ indices, in which there is significant similarity between the image block and the codeword of the VQ index. Thus, the method can compress an image and maintain good image quality. This paper proposes a novel lossless VQ indices compression algorithm to further compress the VQ index table. Our scheme exploits the high correlation of adjacent image blocks to search for the same VQ index with the current encoding index from the neighboring indices. To increase compression efficiency, codewords in the codebook are sorted according to the degree of similarity of adjacent VQ indices to generate a state codebook to find the same index with the current encoding index. Note that the repetition indices both on the search path and in the state codebooks are excluded to increase the possibility for matching the current encoding index. Experimental results illustrated the superiority of our scheme over other compression schemes in the index domain.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.1
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• pp.1-9
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• 2015

Template matching is used for many applications in image processing. One of the most researched topics is object tracking. Normalized Cross Correlation (NCC) is the basic statistical approach to match images. NCC is used for template matching or pattern recognition. A template can be considered from a reference image, and an image from a scene can be considered as a source image. The objective is to establish the correspondence between the reference and source images. The matching gives a measure of the degree of similarity between the image and the template. A problem with NCC is its high computational cost and occasional mismatching. To deal with this problem, this paper presents an algorithm based on the Sum of Squared Difference (SSD) and an adaptive template matching to enhance the quality of the template matching in object tracking. The SSD provides low computational cost, while the adaptive template matching increases the accuracy matching. The experimental results showed that the proposed algorithm is quite efficient for image matching. The effectiveness of this method is demonstrated by several situations in the results section.

• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.121-133
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference between offline and online by structural characteristics of women' jacket fabrics for spring and summer. 78 participants evaluated the sensibility image and preference of various fabrics. The data were analysed by factor analysis, t-test, Pearson's productive correlation, regression, and multi dimensional scale. The results were as follows: Sensibility image factors of women' jacket fabrics were 'classic' 'sophisticated' 'natural' 'characteristic' and 'practical'. Between offline and online, sensibility images showed no differences. In sensibility images, 'classic'-'sophisticated', 'natural'-'practical', and 'practical'-'characteristic' images showed significant correlation. By analyzing the contribution of fabric structure on sensibility images, density affected on the 'classic' image offline and online. By the results of regression analysis, thickness, density and weave affected on the tactile preference. In sensibility images, 'classic', 'sophisticated' 'characteristic' images were the influencing factor. 'Sophisticated', 'natural', 'characteristic' and 'practical' images affected on the purchase preference.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.1
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• pp.69-75
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• 2016

Polydimethylsiloxane (PDMS) is used as a scaffold for cell culture. Because both the stress and strain acting on the substrate and the hemodynamic environment are important for studying mechano-transduction of cellular function, the traction force of the surface of a substrate has been measured using fluorescence images of particle distribution. In this study, deformation of the cross-sectional plane of a PDMS block was measured by correlating particle image distributions to validate the particle image strain measurement technique. Deformation was induced by a cone indentor and a shearing parallel plate. Measured deformations from particle image distributions were in agreement with the results of a computational structure analysis using the finite-element method. This study demonstrates that the particle image correlation method facilitates measurement of deformation of a polymer scaffold in the cross-sectional plane.

• Journal of Biosystems Engineering
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• v.17 no.4
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• pp.354-362
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• 1992

This study was intended to examine feasibility of sizing and color grading of Fuji apple with black/white image processing system, to develop a device with which the whole surface of an apple could be captured by one camera, and to develop an algorithm for a high speed sorting. The results are summarized as follows : 1. The black/white image processing system used in this study showed a maximum error of 1.3% in area measurement with a reference figure while the focusing point of camera and location of the reference figure were changed within a certain range. 2. As the result of evaluating four automatic image segmentation algorithms with apple images, Histogram Clustering Method was the best in terms of computation time and accuracy. 3. The fast algorithm for analyzing size and coloration of apple was developed. 4. The whole surface of an apple could be captured in an image frame with two mirrors installed on the both sides of the sample. The total area of the image representing the whole surface showed a correlation of 0.995 with the weight of apple. 5. The gray level when a particular band pass filter was mounted on the camera showed high correlation with 'L' and 'a' values of Hunt color scale and could represent the coloration of apple.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.4
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• pp.548-557
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• 2014

Purpose: This study investigates the level of nursing professionalism and factors that affect nurse perceptions. Method: This study is a descriptive study involving 443 nursing students from two universities. Data were collected in September 2012 via a structured self-report questionnaire and subsequently analyzed using descriptive statistics, t-tests, one-way ANOVA, Pearson correlation coefficients, and multiple regression. Results: The mean scores for nurse image, core elements of nursing professionalism and nursing professionalism were $3.65{\pm}.46$, $4.17{\pm}.39$ and $3.59{\pm}.45$, respectively. Nursing Professionalism had a significant positive correlation with nurse image (r=.749, p<.001) and core elements of nursing professionalism (r=.365, p<.001). In multiple linear regression, factors that influenced nursing professionalism were: temperament as nurses, professionalism, vision of career, role performance of nurses' image, and fundamental nursing practical experience. These variables explained about 58.8% of the total variance in nursing professionalism. Conclusion: For more positive nursing professionalism among students, more attention should be paid to enhancing the positive image of nurses. Doing so can serve as a fundamental resource for the development of appropriate strategies for nursing professionalism.

• Journal of Korean Academy of Nursing
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• v.35 no.7
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• pp.1343-1352
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• 2005

Purpose: This study was designed to identify the degree of self-image and social support among Korean-Chinese adolescents and investigate the relationship between these variables. Method: A total of 621 Korean-Chinese adolescents in five middle schools in YanBian, China were recruited from March 1st to the 9th, 2005. Data was analysed using descriptive statistics, Pearson correlation coefficient, t-test, and ANOVA with the SPSS 11.5 program. Result: In Korean-Chinese adolescents, the total self-image score was statistically different for age, parents' education status, parents' job and living with parents. In the 12 subscales, scoresof emotional tone, impulse control, sexuality, social functioning, vocational attitudes and self-reliance had significant differences between groups regarding gender. The total self-image was in the average range. However, areas of mental health and family function were lower than average and the scale of idealism washigher than average. The adolescents perceived parent's support was higher then friend's support. There was a positive correlation between self-image and social support. Conclusion: The findings suggest there is a need to examine self-image and social support of Korean- Chinese adolescents according to their parents' marital status and a need to develop a program to help these broken family's adolescents.