• 전자공학회논문지 IE
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• v.48 no.4
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• pp.1-6
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• 2011

In this paper we show the LCD simulator for defect inspection using image processing algorithm and neural network. The defect inspection algorithm of the LCD consists of preprocessing, feature extraction and defect classification. Preprocess removes noise from LCD image, using morphology operator and neural network is used for the defect classification. Sample images with scratch, pinhole, and spot from real LCD color filter image are used. From some experiments results, the proposed algorithms show that defect detected and classified in the ratio of 92.3% and 94.5 respectively. Accordingly, in this paper, a possibility of practical implementation of the LCD defect inspection system is finally suggested.

• 전자공학회논문지 IE
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• v.48 no.2
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• pp.26-31
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• 2011

In this paper we show the LCD simulator for defect inspection using image processing algorithm and neural network. The defect inspection algorithm of the LCD consists of preprocessing, feature extraction and defect classification. Preprocess removes noise from LCD image, using morphology operator and neural network is used for the defect classification. Sample images with scratch, pinhole, and spot from real LCD color filter image are used. From some experiments results, the proposed algorithms show that defect detected and classified in the ratio of 92.3% and 94.5 respectively. Accordingly, in this paper, a possibility of practical implementation of the LCD defect inspection system is finally suggested.

• 대한핵의학회:학술대회논문집
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• 2001.11a
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• pp.29.1-29.1
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• 2001

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.248-259
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• 2013

The purpose of this study is to investigate the influence of the perceived parental attachment and social support on adjustment to college life in university students. For this study, research data about adjustment to college life, the perceived parental attachment and social support were collected from 386 university students. Results of correlation and multiple regression analysis showed that the perceived parental attachment and social support are the most influential factors. Major findings and conclusions were as follow: First of all, the finding shows that the adjustment to college life has a significant static correlation with both parental attachment and Social support, respectively. Second, parental attachment and social support of friends have more influence on adjustment to college life, especially in academic, social, personal-emotional and environmental one. Thus, results of this study show the importance of a wide variety of policy research, continuous counseling, and development of programs for a better adjustment to college life.

• Journal of Music and Human Behavior
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• v.15 no.2
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• pp.41-67
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• 2018

The purpose of this case study was to examine how a supportive songwriting program could facilitate resilience for adolescents with school maladjustment. Participants included four middle school students with adaptive difficulties. The participants received eight 50-minute sessions of a supportive songwriting program. The program consisted of singing and discussing selected songs, followed by the participants creating their own lyrics about their current adaptation issues. The Resilience Scale for Adolescents was completed by each participant before and after the intervention, and the participants' lyrics were analyzed for how the factors of resilience were reflected in their lyrics. The results showed that all participants' scores on the resilience scale increased. It was also found that the factor on the resilience scale that increased the most for each participant was related to the issues expressed in their lyrics. The results suggest that the process of writing songs can be effective in eliciting adolescents' school related issues and accessing their positive resources, which can lead to behavioral and psychological improvements.

• Journal of the Korean Society for Nondestructive Testing
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• v.20 no.6
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• pp.545-554
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• 2000

Compton X-ray backscatter technique has been used to quantitatively assess the impact damage in quasi-isotropic laminated composites and to obtain a cross-sectional profile of impact-damaged laminated composites from the density variation of the cross section. An adaptive filter is applied to the Compton backscattering data for the reconstruction and noise reduction from many sources including quantum noise, especially when the SNR(signal-to-noise ratio) of the image is relatively low. A nonlinear reconstruction model is also proposed to overcome distortion of the Compton backscatter image due to attenuation effects, beam hardening, and irregular distributions of the fibers and the matrix in composites. Delaminations masked or distorted by the first few delaminations near the front surface are detected and characterized both in width and location, by application of an error minimization algorithm.

• The Korean Journal of Elementary Counseling
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• v.11 no.1
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• pp.107-122
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• 2012

This study examined the effects of gratitude enrichment program on the school adjustment, life satisfaction, and emotional-behavioral problems of children. The subjects were 5th grade 69 boys and girls(experimental group: 34, control group: 35). School adjustment, life satisfaction, and emotional-behavioral problems were measured before and after the program intervention. The findings showed that the gratitude enrichment program increased the school adjustment and life satisfaction. But it was not effective in decreasing the emotional-behavioral problems of children. The importance and necessity of gratitude enrichment program and education activities were discussed.

• The Journal of Korean Association of Computer Education
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• v.6 no.1
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• pp.65-77
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• 2003

This paper presents a model for supporting the adaptive interaction between the computer and the learner. To design an adaptive interaction model, the strategy to support the adaptive interaction in the web-based educational system was established. And then. the necessary components for executing each strategy were selected. Also. the logical relations among the components were verified. To verify the effectiveness of the proposed adaptive interaction model, we applied the existing web-based courseware and the new courseware using the adaptive interaction models to two groups respectively, and then measured the performance of each group. Experimental results reveal that the adaptive interaction model actually has positive effects on the learning activities of the learner.

• Journal of Genetic Medicine
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• v.8 no.1
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• pp.35-43
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• 2011

Purpose: We evaluated indications for chorionic villus sampling (CVS), the positive predictive value of CVS for fetal chromosomal abnormalities, and the fetal loss rate after CVS at CHA Medical Center. Materials and Methods: We reviewed the medical records of 511 cases of CVS performed between 67 and 120 days of gestation for prenatal cytogenetic diagnosis from April 2000 to April 2010. Fetal karyotypes were obtained by direct and indirect culture methods. Results: The most common indications for CVS were abnormal ultrasonic findings including increased nuchal translucency (294/635, 46.3%). The positive predictive value of abnormal karyotyping according to indication for CVS was highest in cases with abnormal parental karyotypes (14/21, 66.7%). Mosaicism revealed by CVS comprised 3.1% of the sample (16/509). Amniocentesis revealed two cases of true mosaicism and 11 cases of confined placental mosaicism. The fetal loss rate within 4 weeks of the procedure was 1.2% (6/511). Conclusion: If CVS is performed by an expert clinician, it is a feasible and reliable procedure for prenatal genetic diagnosis. When CVS indicates mosaicism, the finding should be confirmed by amniocentesis to distinguish true mosaicism from confined placental mosaicism.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.10
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• pp.493-498
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• 2017

Capsule endoscopy is specialized for the observation of small intestine that is difficult to access by general endoscopy. The diagnostic procedure through capsule endoscopy consists of three stages: examination of indicant, endoscopy, and diagnosis. At this time, key information needed for diagnosis includes indicant, lesions, and suspected disease information. In this paper, these information are defined as semantic features and the extracting process is defined as semantic-based analysis. It is performed in whole capsule endoscopy. First, several symptoms of patient are checked before capsule endoscopy to get some information on suspected disease. Next, capsule endoscopy is performed by checking the suspected diseases. Finally, diagnosis is concluded by using supporting information. At this time, some association are used to conclude diagnosis. For example, there are the disease association between the symptom and the disease to identify the expected disease, and the anatomical association between the location of the lesion and supporting information. However, existing knowledge models such as MST and CEST only lists the simple term related to endoscopy and cannot consider such semantic associations. Therefore, in this paper, we propose association-based knowledge model for supporting diagnosis of capsule endoscopy. The proposed model is divided into two; a disease model and anatomical model of small intestine, interesting area(organs) of capsule endoscopy. It can effectively support diagnosis by providing key information for capsule endoscopy.