• Korean Journal of Human Ecology
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• v.24 no.6
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• pp.795-809
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• 2015

The suicide rate in South Korea has been the highest among the OECD countries for more than 10 years. In addition, the suicide rate among the rural elderly is much higher than that of the elderly in urban areas and that of younger generations. The purpose of this study was to examine the general tendencies of family ties, community consciousness and suicide ideation of the rural elderly in Korea. Also, this study aimed to verify the mediating effect of community consciousness between family ties and suicidal ideation. The data for this study came from 283 elderly people (over 65 years old) living in 11 villages in South Korea. The data was gathered from July to August 2013. Baron and Kenny's (1986) step based regression from the SPSS Win 18.0 program was used to analyze this data. This study also utilized the Sobel-test. The results of this study are as follows. First, the suicidal ideation of the respondents had a lower score than the median score. However, the magnitude of suicidal ideation was still significant. Second, this study found that family ties and community consciousness have both direct and indirect effects on the reduction of suicidal ideation. Lastly, this study examined the mediating effects of community consciousness. The findings of this study are of great significance because they reconfirmed the importance of establishing a social safety net in local communities to replace adult children who have relocated to urban areas.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.1
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• pp.80-87
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• 2004

In this paper we proposed the novel feature extraction method that is able to extract the individual characters from the license plate area of the car image more precisely by using the RGB color information and the fuzzy binarization newly proposed. The proposed method, first, extracts from the original image the areas that the pixels with the colors around the green are concentrated on as the candidate areas of the license plate, and selects the area with the most intensive distribution of pixels with the white color among the candidate areas as the license plate area. Second the noises of the license plate area should be removed by using 34{\times}$3 Sobel masking, and the fuzzy binarization method are proposed and applied to the license plate area to generate the binarized image of the license plate area. Lastly, the application of the contour tracking algorithm to the binarized area extracts the individual characters from the license plate area. The experiment on a variety of the real car images showed that the proposed method generates the higher rate of success for character extraction than the previous methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.5
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• pp.983-989
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• 2006

Current emigration and immigration control inspects passports by the naked eye, registers them by manual input, and compares them with items of database. In this paper, we propose the method to recognize information codes of passports. The proposed passport recognition method extracts character-rows of information codes by applying sobel operator, horizontal smearing, and contour tracking algorithm. The extracted letter-row regions is binarized. After a CDM mask is applied to them in order to recover the individual codes, the individual codes are extracted by applying vertical smearing. The recognizing of individual codes is performed by the RBF network whose hidden layer is applied by ART 2 algorithm and whose learning between the hidden layer and the output layer is applied by a generalized delta learning method. After a photo region is extracted from the reference of the starting point of the extracted character-rows of information codes, that region is verified by the information of luminance, edge, and hue. The verified photo region is certified by the classified features by the ART 2 algorithm. The comparing experiment with real passport images confirmed the good performance of the proposed method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.3
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• pp.585-590
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• 2012

Coronary Intervention treatment has become the core that is the test of cardiac catheterization to conduct treatment with Coronary Arteriography. Operators must be careful in Coronary Intervention treatment because the stent is inserted into the point of narrowing of blood vessel. So, the operator must correctly recognize the path of blood vessel to deal with the problems which are damages and ruptures of blood vessel, and there would be some errors of finding the path of blood vessel by bad qualify of the image. Therefore in this paper, median filtering is conducted by preprocessing to evaluate the performance of the effect of noise of the image that affects quality of the image and Fuzzy Edge Extraction Techniques is tested by using Soble Edge Extraction Techniques to compare the performance with The Fuzzy Edge Extraction Techniques. In result, the performance, removing the noise and extracting the signal of Fuzzy Edge Extraction Techniques using median filtering, demonstrates the superiority.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.4C
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• pp.355-362
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• 2009

A new intra field deinterlacing algorithm with edge map in the image block is introduced. Conventional deinterlacing methods usually employ edge-based line average algorithm within pixel-by-pixel approach. However, it is sensitive to variation of intensity. To reduce this shortcoming, we proposed edge direction vector computed by edge map, and also its interpolation technique. We first introduce an edge direction vector, which is computed by Sobel mask, so that finer resolution of the edge direction can be acquired. The proposed edge direction vector oriented deinterlacer operates by identifying small pixel variations in five orientations, while weighted averaging to estimate missing pixel. According to the edge direction of the direction vector, we calculate weights on each edge direction. These weight values multiplied by the candidate deinterlaced pixels in order to successively build approximations of the deinterlaced sequence.

• Asian Journal of Atmospheric Environment
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• v.5 no.1
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• pp.8-20
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• 2011

Atmospheric visibility is one of the indicators used to evaluate the status of air quality. Based on a conceptual definition of visibility as the maximum distance at which the outline of the selected target can be recognized, an image analysis technique is introduced here and an algorithm is developed for visibility monitoring. Although there are various measurement techniques, ranging from bulk and precise instruments to naked eye observation techniques, each has their own limitations. In this study, a series of image analysis techniques were introduced and examined for in-situ application. An imaging system was built up using a digital camera and was installed on the study sites in Incheon and Seoul separately. Visual range was also monitored by using a dual technology visibility sensor in Incheon and transmissometer in Seoul simultaneously. The Sobel mask filter was applied to detect the edge lines of objects by extracting the high frequency from the digital image. The root mean square (RMS) index of variation among the pixels in the image was substantially correlated with the visual ranges in Incheon and Seoul with correlations of $R^2$=0.88 and $R^2$=0.71, respectively. The regression line equations between the visual range and the RMS index in Incheon and Seoul were VR=$2.36e^{0.46{\times}(RMS)}$ and VR=$3.18e^{0.15{\times}(RMS)}$, respectively. It was also confirmed that the fine particles ($PM_{2.5}$) have more impacts to the impairment of visibility than coarse particles.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.4972-4980
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• 2014

This study examined the effects of teacher job stress and emotional intelligence on the turnover intent and job satisfaction. To this end, an early childhood teacher survey of 220 people using SPSS 9.0 data processing, analysis, and the independent variables were used to predict the dependent variable. Simple regression analysis and regression analysis of a follow-up examination were then performed. In the first study, the early childhood teachers' turnover intention due to job stress and job satisfaction revealed job stress to be a significant factor. The children's lack of leadership and administrative support work overload factors contributed to causes of stress. The turnover intention appeared to affect the mind. Second, early childhood teachers job satisfaction, job stress and turnover intention were affected by attempts to mediate the influence of job stress. Therefore, mediation plays a significant role. These results show that infant teacher duties affect the turnover intention and job satisfaction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2665-2674
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• 2012

This paper propose the method to recognize the lanes and distance between cars in real-time which detects dangerous situations and helps safe driving in the actual road environment. First of all, it extracts the area of interest corresponding to roads and cars from the road image photographed by using the forward-looking camera. Through the hough transform for the area of interest, this study detects linear components and also selects the lane and conducts filtering by calculating probability. And through the shadow threshold analysis of the cars in front within the area of interest, it extracts the objects of cars in front and calculates the distance from cars in front. According to the result of applying the suggested technology to recognize the lane and distance between cars to the road situation for testing, it showed over 95% recognition rate; thus, it has been proved that it can respond to safe driving.

• Human Ecology Research
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• v.56 no.2
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• pp.145-156
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• 2018

This study investigates the effects of over-parenting behavior and peer-alienation on adolescents' school adjustment and explores the mediating effects of smartphone dependency on the above relations. The subjects were 1,882 first grade students in middle school selected from the 7th year data of the 2010 Korea Children and Youth Panel Survey (2010 KCYPS). Data were analyzed by descriptive statistics, Pearson's correlation, structural equational models, and Sobel test with SPSS 21.0 and Amos 18.0. The findings were as follows. First, there was no significant difference in the school adjustment according to gender. However, boys were higher in the perception of over-parenting behavior and peer-alienation, and girls were higher in smartphone dependency. Second, peer-alienation and smartphone dependency had negative impacts on the school adjustment. But over-parenting behavior had no significant effect on school adjustment. Third, smartphone dependency played a mediator role between over-parenting behavior and peer-alienation as well as the school adjustment. Fourth, there were no significant differences between boys and girls in the relations among over-parenting behavior, peer-alienation, smartphone dependency and school adjustment. But there was a slight difference in influence. The findings of this study suggest that interventions on how to use smartphone correctly are important for improving adolescents' school adjustment. In addition, gender differences in school adjustment should be considered for a better understanding.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.61-71
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• 2015

This study is to examine the relationships between emotional labor, job stress, and job burnout of staff accountants. The results of the analysis are as follows. First, frequency of emotional display has a negative impact on job stress, but emotional dissonance is not associated with job stress statistically. And all types of emotional labor(emotional display, emotional variety, emotional dissonance) have no significant effects on job burnout. Second, all types of emotional labor have no significant impacts on job burnout. Third, full mediation by job stress is proved in the relations between frequency of emotional display and job burnout and between emotional variety and job burnout. But emotional labor doesn't directly impact on job burnout but it influences job burnout via job stress indirectly. These results provide a meaningful framework and theoretical basis for future research on emotional labor, job stress, and job burnout.