• The Korean Journal of Health Service Management
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• v.6 no.3
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• pp.171-182
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• 2012

We tried to look for parenting stress and social support of parents who look after children with mental retardation, intellectual disability, physical disability, and deafness. We also tried to know type and severity of parenting stress and inform a necessity of a resource and social support through the study. We subjected parents who have children with disability and visit 7 medical centers to treat in the 4 cities. The parents filled out the questionnaire. We analysed the scale of parenting stress and social support using Likert 5 point scale. As a result of parenting stress and social support according to general characteristics by type of disability, parenting stress was very high regardless of type of disability. However, the parents who have children with disability had lower social support. In detail, the parents who have children with mental retardation had the highest parenting stress, and the parents who have children with deafness had the lowest parenting stress. In the social support, the parents who have children with mental retardation received high social support, and the parents who have children with intellectual disability received low social support.

• Research in Community and Public Health Nursing
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• v.26 no.2
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• pp.108-118
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• 2015

Purpose: The purpose of this study was to investigate life stress, social support, and antepartum depression among Southeast Asian immigrant women married to Korean men. Methods: Ninety-three subjects were recruited from local women's clinics and multicultural family support centers in D City. The instruments used were the life stress scale, social support scale, and K-EPDS. All the instruments were translated into their corresponding mother languages (Vietnamese, Cambodian, and Philippine) and notarized. Results: The item mean scores of life stress and social support were 2.65 and 3.17, respectively, on a 5-point Likert scale. The mean score of antepartum depression was 10.16, indicating that they were generally in a depressive state. A positive correlation was observed between life stress and antepartum depression (r=.59, p<.001). Social support was negatively correlated with life stress (r=-.42, p<.001) and antepartum depression (r=-.39, p<.001). The best predictors for antepartum depression were life stress, marital satisfaction, and emotional support, and they explained 43% of the variance. Conclusion: Antepartum depression in Southeast Asian immigrant brides was significantly associated with life stress as well as lack of emotional support. Emotional support may reduce their life stress and antepartum depression.

• Journal of the Korean earth science society
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• v.32 no.6
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• pp.525-536
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• 2011

In any applications using various types of spatial data, it is very important to account for the scale differences among available data sets and to change the scale to the target one as well. In this paper, we propose to use a geostatistical downscaling approach based on vaiorgram deconvloution and block simulation to generate fine-scale categorical thematic maps from coarse-scale fraction data. First, an iterative variogram deconvolution method is applied to estimate a point-support variogram model from a block-support variogram model. Then, both a direct sequential simulation based on area-to-point kriging and the estimated point-support variogram are applied to produce alternative fine-scale fraction realizations. Finally, a maximum a posteriori decision rule is applied to generate the fine-scale categorical thematic maps. These analytical steps are illustrated through a case study of land-cover mapping only using the block fraction data of thematic classes without point data. Alternative fine-scale fraction maps by the downscaling method presented in this study reproduce the coarse-scale block fraction values. The final fine-scale land-cover realizations can reflect overall spatial patterns of the reference land-cover map, thus providing reasonable inputs for the impact assessment in change of support problems.

• Journal of KIISE
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• v.42 no.2
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• pp.227-234
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• 2015

This paper proposes a modified MI-SVM algorithm by considering data distribution. The previous MI-SVM algorithm seeks the margin by considering the "most positive" instance in a positive bag. Positive instances included in positive bags are located in a similar area in a feature space. In order to reflect this characteristic of positive instances, the proposed method selects the "most positive" instance by calculating the distance between each instance in the bag and a pivot point that is the intersection point of all positive instances. This paper suggests two ways to select the "most positive" pivot point in the training data. First, the algorithm seeks the "most positive" pivot point along the current predicted parameter, and then selects the nearest instance in the bag as a representative from the pivot point. Second, the algorithm finds the "most positive" pivot point by using a Diverse Density framework. Our experiments on 12 benchmark multi-instance data sets show that the proposed method results in higher performance than the previous MI-SVM algorithm.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.10a
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• pp.708-712
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• 2008

Piles and pile foundations have been in common use since very early times. Usually function of piles is to carry load to a depth at which adequate support is available. Another important use of piles is to furnish lateral support and nowadays it is getting highlighted due to the wind load, lateral action of earthquake, and so on. After Broms (1964), many researchers have been suggested methods for estimating lateral capacity of pile. But each method assumes different earth pressure distribution and lateral earth pressure coefficient and it gives confusion to pile designers. Lateral earth pressure, essential in lateral capacity estimation, influenced by pile's behavior under lateral load. Prasad and Chari (1999) assumed the rotation point of pile and suggested an equation of ultimate lateral load capacity. In this study, we investigate the depth of rotation point in both homogeneous soil and multi layered soil, and compare to the estimation value by previous research. To model the pile set up in the sand, we use the chamber and small scale steel pile, and rain drop method. Test results show the rotation point is formed where the Prasad and Chari's estimation value, and they also show multi layered condition affects to location of rotation point to be scattered.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.9
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• pp.433-440
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• 2016

Railway point machines act as actuators that provide different routes to trains by driving switchblades from the current position to the opposite one. Since point failure can significantly affect railway operations with potentially disastrous consequences, early stress detection of point machine is critical for monitoring and managing the condition of rail infrastructure. In this paper, we propose a stress detection method for point machine in railway condition monitoring systems using sound data. The system enables extracting sound feature vector subset from audio data with reduced feature dimensions using feature subset selection, and employs support vector machines (SVMs) for early detection of stress anomalies. Experimental results show that the system enables cost-effective detection of stress using a low-cost microphone, with accuracy exceeding 98%.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.329-337
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• 2017

This paper proposes a search method that explores parameters C and σ values of support vector machines (SVM) to improve performance while maintaining search accuracy. A traditional grid search method requires tremendous computational times because it searches all available combinations of C and σ values to find optimal combinations which provide the best performance of SVM. To address this issue, this paper proposes a deep search method that reduces computational time. In the first stage, it divides C-σ- accurate metrics into four regions, searches a median value of each region, and then selects a point of the highest accurate value as a start point. In the second stage, the selected start points are re-divided into four regions, and then the highest accurate point is assigned as a new search point. In the third stage, after eight points near the search point. are explored and the highest accurate value is assigned as a new search point, corresponding points are divided into four parts and it calculates an accurate value. In the last stage, it is continued until an accurate metric value is the highest compared to the neighborhood point values. If it is not satisfied, it is repeated from the second stage with the input level value. Experimental results using normal and defect bearings show that the proposed deep search algorithm outperforms the conventional algorithms in terms of performance and search time.

• Proceedings of the KSR Conference
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• 2005.05a
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• pp.556-561
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• 2005

The steel shows plastic deformation after the yield point exceeds. The plastic deformation due to overloads occurs at the interior support of a continuous bridge. The plastic deformation is concentrated at the interior support and the permanence deformation at the interior support remains after loads apply. Because local yielding causes the positive moment at the interior support, it is called 'auto-moment'. Auto-moment redistributes the elastic moment. Because of redistribution, auto-moment decreases the negative moment at the interior support of a continuous bridge. In this paper, the plastic rotation is evaluated using the moment-rotation curve proposed by Schalling and Beam-line method. Moreover, auto-moment is derived from the experiment curve.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.260-268
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• 2022

The purpose of this study is to investigate the effect of social support of table tennis players on exercise stress and athletic performance. To clarify the purpose of this study, middle and high school table tennis players registered with the Korea Table Tennis Association in 2020 were targeted. After that, a total of 300 subjects (150 males and 150 females) were selected using the convenient sampling method. The survey tool consisted of a questionnaire on a 5-point scale. Also, the collected data were statistically processed using SPSS version 20.0. The results obtained through this research procedure are as follows. First, it was found that the social support of athletes partially affected the exercise stress. Second, it was found that the social support of athletes partially affected athletic performance. Third, exercise stress of athletes was found to have a partial effect on athletic performance.

• Korean Journal of Health Education and Promotion
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• v.16 no.2
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• pp.67-80
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• 1999

This study was designed to provide the basic data of nursing intervention for alleviation of effective adjustment of cancer patients by identifying the correlation between the spiritual well-being and family support. The subjects for this study were 69 patients who were diagnosed as cancer and were admitted to a university hospital in Pusan. Data were collected during the period between December 1, 1998 and January 20, 1999 by interviewing with questionnaires. Family support questionnaire consisted of 11 questions answerable on a 5 point Likert scale developed by Kang Hyun Suk(1985). Spiritual well-being questionnaire consisted of 20 questions answerable on a 4 point Likert scale modified by Kang Jeong Ho(1996). The data were analyzed by in descriptive statistics, Pearson correlation coefficient, t-test and ANOVA using SPSS/WIN program. The results of this study were as follows. 1. The mean score for family support in cancer patients was 49.48, which indicated that cancer patients perceived their state of family support as high level. The mean score for spiritual well-being in cancer patients was 55.87, which indicated that cancer patients perceived their state of spiritual well-being as moderate level. Among the components of spiritual well-being, the mean score for religious well-being was 26.94 and for existential well-being 28.93. From the above, the mean score for existential well-being was higher than that of religious well-being. 2. There were statistically significant differences in family support according to the types of primary caregivers(F=3.48, p=0.008). The spouse caregiver showed the highest family support among the caregivers. There were statistically significant differences in spiritual well-being according to the job(F=2.20, p=0.046) and the level of perceived health status(F=2.71, p=0.05). There were statistically significant differences in religious well-being according to the religion(F=2.42, p=0.004) and the number of family members(F=3.38, p=0.040). And there were statistically significant differences in existential well-being according to the job(F=2.48, p=0.026) and the level of perceived health status(F=2.74, p=0.048). 3. There were positive correlation between spiritual well-being and the family support(r=0.481, p=0.000), between religious well-being and family support(r=0.336, p=0.008) and existential well-being and family support(r=0.519, p=0.000).