• Journal of Contemporary Eastern Asia
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• v.8 no.1
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• pp.31-46
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• 2009

The purpose of the study was to find out which posts were answered in a text-based computer-mediated social support group. Specifically, the present study examined the effects of two variables on support-seeking behaviors: support-seeking strategies and gender. A revised typology of support-seeking strategies originally proposed in the Sensitive Interaction Systems Theory (SIST) model was employed for the study. Data were collected from the PTT psychosis discussion group, the largest BBS in the Chinese-speaking community, for a period of 30 months from February 2004 to July 2006. In general, the results indicated that posts with more asking, less crying and less hinting were answered more than posts with more hinting, more crying and less asking. However, although different support-seeking strategies did affect support-seeking behaviors, gender did not have an impact on which posts were answered.

• Current Optics and Photonics
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• v.3 no.2
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• pp.128-134
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• 2019

The vibration sensitivities of optical cavities depending on the support area were investigated, both numerically and experimentally. We performed numerical simulations with two models: one with total constraint of the support area, and the other with only vertical constraint. An optimal support condition insensitive to the support's area could be found by numerical simulation. The support area was determined in the experiment by a Viton rubber pad. The vertical, transverse, and longitudinal vibration sensitivities were measured experimentally. The experimental result agreed with the numerical simulation of a sliding model (only vertical constraint).

• Human Ecology Research
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• v.60 no.2
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• pp.231-242
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• 2022

This study examines the relationship of adult attachment, social support, and subjective happiness of university students, and confirm the mediating effect of social support in the relationship between adult attachment and subjective happiness. Participants in this study consist of 284 university students enrolled in G city. Data were analyzed using SPSS and AMOS to conduct descriptive statistics, correlation analysis, and a structural equation model. The main findings are as follows. First, Attachment anxiety and attachment avoidance showed negative correlations with social support and subjective happiness. And social support showed a positive correlation with subjective happiness. Second, social support showed a partial mediating effect on the effect of attachment anxiety and attachment avoidance on the subjective happiness of university students. This study is meaningful in providing basic data for educational and counseling interventions that enhance subjective happiness of university students.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.74-81
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• 2023

Based on the hypothesized model and the data obtained from the questionnaire, this paper analyzed the data using the statistical analysis software SPSS 25.0 and AMOS 20.0 to empirically prove the relationship between the variables of transformational leadership, organizational support, organizational justice, and employee engagement. It was found that: First, transformational leadership has a significant positive effect on employee commitment; Second, transformational leadership has a significant positive effect on perceived organizational support. Third, perceived organizational support has a significant effect on employee commitment; Fourth, in the relationship between transformational leadership and employee commitment, the mediating effect of perceived organizational support on them holds; At last, organizational justice plays a moderating role in the relationship between transformational leadership and the perceived organizational support. This study enriches and integrates the theoretical systems and research categories of employee engagement, organizational justice, transformational leadership, and perceived organizational support.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.259-269
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• 2011

The B$\'{e}$k$\'{e}$sy audiometer is used to determine not only hearing threshold but also assumption of recruit phenomenon and cause of disease. However, current B$\'{e}$k$\'{e}$sy audiometer takes an operational model, so called face-to-face model, in which model one audiometrist can assess only one subject at a time. As a result, the face-to-face model leads to high audiometrist's labor cost and long waiting time when there exist many subjects. To improve such weakness, this paper extends PC based B$\'{e}$k$\'{e}$sy audiometer to support client/server model in which model one audiometrist enables to concurrently access several subjects. As providing capabilities such as real-time transfer of assessment result, video monitoring of subject and video chat, the same effect as face-to-face model but overcomes weakness of face-to-face model.

• Research in Community and Public Health Nursing
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• v.32 no.4
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• pp.540-554
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• 2021

Purpose: Most of the currently used concepts and measurements of social support have been relevant for general population. The main purpose of this study is to conduct the concept analysis of perceived social support(PSS) of family caregivers for people with dementia. Methods: This study adopted the Walker and Avant concept analysis methodology. Results: Findings from this concept analysis suggested four defining attributes of PSS of family caregivers for people with dementia: 1) PSS is help or assistance that family caregivers perceive as available when needed; 2) PSS is offered through socio-ecological structure; 3) PSS has a specific function to meet the needs of family caregivers; and 4) PSS includes quality aspects where family caregivers choose, use, or evaluate it. Borrowing from the socio-ecological model, this study proposed the structural aspects of PSS. This study also identified functional aspects of PSS, such as emotional support, informational support, appraisal support, and practical support. Finally, this study assessed quality aspects of PSS, such as satisfaction, timeliness, usefulness, accessibility, and coordination. Conclusion: Focusing on family caregivers for people with dementia, we proposed a new model of PSS. The present study helped refine and clarify the concept of PSS of family caregivers for people with dementia. The results of this study may also contribute to promoting the development of more effective instruments for the concept.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1032-1035
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• 2003

The field of handwriting recognition has been researched for many years. A hybrid classifier has been proven to be able to increase the recognition rate compared with a single classifier. In this paper, we combine support vector machine (SVM) and hidden Markov model (HMM) for offline handwritten numeral recognition. To improve the performance, we extract features adapted for each classifier and propose the modified SVM decision structure. The experimental results show that the proposed method can achieve improved recognition rate for handwritten numeral recognition.

• International journal of advanced smart convergence
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• v.3 no.1
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• pp.11-14
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• 2014

We have been designing human interactions for some learning support system or education system. The design is based on a symbol grounding model. The model is applicable to many learning domains using virtual reality technology. The design policy is simple and compact. In order to realize the policy we use/reuse some devices from the viewpoint of virtual reality. This paper introduces basic ideas and explains several example cases based on the idea.

• Communications for Statistical Applications and Methods
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• v.13 no.3
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• pp.765-776
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• 2006

In this paper we propose an estimation method on the regression model with randomly censored observations of the training data set. The weighted least squares support vector machine regression is applied for the regression function estimation by incorporating the weights assessed upon each observation in the optimization problem. Numerical examples are given to show the performance of the proposed estimation method.

• 한국데이터정보과학회:학술대회논문집
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• 2005.10a
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• pp.161-169
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• 2005

In this paper we propose a fuzzy c-regression model based on weighted least squares support vector machine(LS-SVM), which can be used to detect outliers in the switching regression model while preserving simultaneous yielding the estimates of outputs together with a fuzzy c-partitions of data. It can be applied to the nonlinear regression which does not have an explicit form of the regression function. We illustrate the new algorithm with examples which indicate how it can be used to detect outliers and fit the mixed data to the nonlinear regression models.