• Journal of the Institute of Convergence Signal Processing
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• v.6 no.1
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• pp.15-22
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• 2005

In this paper, we propose a face recognition system by using the CCD color image. We first get the face candidate image by using YCbCr color model and adaptive skin color information. And we use it initial curve of active contour model to extract face region. We use the Eye map and mouth map using color information for extracting facial feature from the face image. To obtain center point of Log-polar image, we use extracted facial feature from the face image. In order to obtain feature vectors, we use extracted coefficients from DCT and wavelet transform. To show the validity of the proposed method, we performed a face recognition using neural network with BP learning algorithm. Experimental results show that the proposed method is robuster with higher recogntion rate than the conventional method for the rotation and scale variant.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.3
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• pp.255-263
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• 2006

In the last decade, face analysis, e.g. face detection, face recognition, facial expression recognition, is a very lively and expanding research field. As computer animated agents and robots bring a social dimension to human computer interaction, interest in this research field is increasing rapidly. In this paper, we introduce an artificial emotion mimic system which can recognize human facial expressions and also generate the recognized facial expression. In order to recognize human facial expression in real-time, we propose a facial expression classification method that is performed by weak classifiers obtained by using new rectangular feature types. In addition, we make the artificial facial expression using the developed robotic system based on biological observation. Finally, experimental results of facial expression recognition and generation are shown for the validity of our robotic system.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.917-924
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• 2018

Recently, researches using LBP and SVM have been performed as one of the image - based methods for facial emotion recognition. LBP, introduced by Ojala et al., is widely used in the field of image recognition due to its high discrimination of objects, robustness to illumination change, and simple operation. In addition, CS(Center-Symmetric)-LBP was used as a modified form of LBP, which is widely used for face recognition. In this paper, we propose a method to detect four facial expressions such as expressionless, happiness, surprise, and anger using deep neural network. The validity of the proposed method is verified using accuracy. Based on the existing LBP feature parameters, it was confirmed that the method using the deep neural network is superior to the method using the Adaboost and SVM classifier.

• Transactions of Materials Processing
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• v.29 no.3
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• pp.144-150
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• 2020

In this paper, we propose the generation of a double enveloping worm thread profile with a non-developable ruled surface. Thread surface machining cuts all the way from the tip to the tooth root at one time, like full-face contact machining, rather than cutting several times like point machining. This cutting can reduce the cutting duration and achieve the smooth surface that does not require a grinding process for the threaded surface. The mathematical model of the cutting process was developed from theoretical equations, and the tooth surface was generated using two parameters and modeled in the CATIA using the generated Excel data. Additionally, the machining process of the worm was simulated in a numerical control simulation system. To verify the validity of the proposed method, the deviation between the modeling and the workpiece was measured using a 3D measuring machine.

• Journal of Korea Multimedia Society
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• v.16 no.1
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• pp.108-118
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• 2013

Recently the 3D modeling techniques were developed rapidly due to rapid development of computer vision, computer graphics with the excellent performance of hardware. With the advent of a variety of 3D contents, 3D modeling technology becomes more in demand and it's quality is increased. 3D face models can be applied widely to such contents with high usability. In this paper, a 3D face modeling is attempted from a given single 2D frontal face image. To achieve the goal, we thereafter the feature points using AAM are extracted from the input frontal face image. With the extracted feature points we deform the 3D general model by 2-pass mesh warping, and also the depth extraction based on intensity values is attempted to. Throughout those processes, a universal 3D face modeling method with less expense and less restrictions to application environment was implemented and it's validity was shown through experiments.

• Journal of Korean Academy of Nursing
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• v.29 no.5
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• pp.1147-1154
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• 1999

The Profile of Mood States (POMS) is the most widely used self-report instrument for the measurement of affect or mood in clinical and nonclinical populations. This paper reports on the translation and testing of a Korean version of the POMS. The translation involved three steps: translation, checking agreement, and panel discussions to arrive at consensus. Then, the Korean version of the POMS was tested with a sample of 47 healthy Koreans who lived in the U.S.; they completed the instrument in the morning, at the beginning of work and in the evening, at the end of work. Internal consistencies for the total scale and subscales were high (alphas ＝ .93 and .94). Face and content validity and the cultural relevance of the Korean version of the POMS were tested through review by five bilingual Korean nursing scholars who were familiar with Korean culture and with the current literature on affect, feeling or mood in both English and Korean. The Korean version of the POMS was then compared with the Haeok Fatigue Behavior Check-list and demonstrated with concurrent validity (r ＝ .87, p ＜ .001). Construct validity was established by demonstrating significant differences between the scores on the Fatigue and Vigor subscales (p ＜ .001) at the beginning work and at the end of work.

• Child Health Nursing Research
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• v.21 no.2
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• pp.131-140
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• 2015

Purpose: The purpose of this study was to develop an instrument that evaluated QUality Of care Through patients' Eyes for hospitalized child (QUOTE-Child), and examine the validity and reliability. Methods: Preliminary items were reviewed through expert content validity and face validity. To test the validity and reliability of the instrument, the data were collected from 221 care givers of hospitalized children. Data were analyzed using exploratory factor analysis, Pearson correlation coefficient, Cronbach's alpha and Spearman-Brown coefficient. Results: Factor analysis yielded 19 items in four factors including 1) respect, 2) explanation, 3) kindness, and 4) skillfulness, with a cumulative explanatory variance of 70.68%. For criterion-related validity, a significant positive relationship was found between quality of care and pediatric family satisfaction. For internal consistency reliability, the Cronbach's ${\alpha}$ was .93 (importance) and .95 (performance) for the overall instrument. The half split reliabilities were .86, .95 (importance) and .92, .97 (performance). The Cronbach's ${\alpha}$ of 110 data was .92 (importance) and .94 (performance). Conclusion: Researchers and practitioners can use this instrument to systematically assess quality of care for hospitalized children and identify areas of support for hospitalized children and their family.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.281-289
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• 2022

Our society is rapidly changing with the core technology of the 4th industrial revolution, the emergence of a generation with new characteristics, and the untact era following the With Corona policy. Although the transition to untact is accelerating in the field of performing arts, in the case of opera, face-to-face performances are mainly conducted by experts and enthusiasts through on-site performances. Therefore, it is necessary to consider the uncertainty of creating opportunities through the influx of new customers such as the MZ generation and the departure of existing experts and enthusiasts. In this study, in order to examine these existing problems, we conducted literature review and case analysis, compared the opera face-to-face/non-face-to-face performance characteristics, derived an activation plan, and conducted expert interviews to secure the coherence and validity of the plan. In conclusion, we thought that it was difficult to improve the sound and sound quality, impairing the sense of presence and emotion due to many shortcomings when operating non-face-to-face as a music genre with the characteristics of opera. Therefore, we established the direction of activating the opera mainly face-to-face, but making good use of the advantages of non-face-to-face, which is not limited by region and time, and promoting the direction of activating face-to-face and non-face-to-face performances complementary to each other through the concept of cultural enjoyment.

• Journal of the Korean Dietetic Association
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• v.14 no.2
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• pp.186-197
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• 2008

The aim of this study was to measure the brand images of contract foodservice management companies by identifying brand image attributes and then developing a measurement scale to measure the weight of these attributes. The measurement scale was developed by following a 5-stage process that included face-to-face interviews with experts, literature review, questionnaire surveys, verification of scale validity, exploratory factor analysis, and confirmatory factor analysis. A total of 137 items measuring brand image were collected: 37 items from studies of brand image and corporate image, 55 items from studies of contract foodservice management companies and 45 items from the internet and websites of contract foodservice management companies. A survey was then conducted to assess the validity and reliability of the questionnaire items. Ultimately, the 137 items were reduced to 40 items. The calculated Cronbach's alpha for the 40 brand image items was 0.934, demonstrating good internal consistency. Based on exploratory factor analysis (EFA), employee attitude, menu content, corporate image, dining location and ambience, along with 33 subattributes, were identified as brand image attributes. Employee attitude was the most significant attribute influencing brand image. After confirmatory factor analysis (CFA) and a review process, four brand image attributes and 33 subattributes were finalized and incorporated into the scale.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5C
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• pp.351-358
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• 2006

The purpose of this study is to recommend the simulation method and procedure of behaviors of CFRD(Concrete Faced Rockfill Dam) concrete face slab with impoundment by centrifuge tests, to examine the effects of the flexural rigidity of the concrete face slab on the face slab deformation from the centrifuge tests, and to evaluate the effects of the stiffness of face supporting zone on the displacement and moment of face slab by numerical analysis which is verified by the centrifuge tests. In this study, the centrifuge tests on the two model dams with the concrete face slab of different flexural rigidity were carried out. Also, the centrifuge tests were simulated by numerical analysis of which input material properties were obtained by the triaxial tests on the model materials. The validity of numerical analysis was evaluated by comparison between the results of centrifuge tests and numerical simulation. The deformation pattern of the concrete face slab was examined with the various stiffness of the face supporting zone by numerical analysis. From the results of centrifuge tests, the effects of face slab thickness on the deformation of face slab were negligible. From the results of centrifuge tests and numerical analysis, it was found that the amplitude of the maximum displacement of face slab and the position where the maximum displacement was mobilized with impoundment were affected by the stiffness of face supporting zone rather than the flexural rigidity of concrete face slab.