• Journal of Families and Better Life
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• v.25 no.5
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• pp.107-126
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• 2007

This study explored the buffering effect of family resilience between family stress and adjustment of single parent family based on family resilience approach. Results of the study were as followed: First, single parents who had a lower level of family stress and a higher lever of family resilience reported a higher level of family adjustment. Second, family stress especially economic stress and relational stress influenced negatively on adjustment of single parent family. Family belief system, organizational pattern and communication processes of the three sub-factors of family resilience influenced positively on family adjustment. However the sub-factors of family resilience had more powerful effects than family stress. Third, family belief system, organizational pattern and communication processes of the three sub-factors of family resilience had a moderating effect between family adjustment and psychological stress and between family adjustment and relational stress. Especially the three sub-factors of family resilience had a buffering effect between family adjustment and relational stress. The results of this study had important implication for theory, research, and practice. The study showed that adjustment of single parent family could be significantly explained by family resilience rather than family stress. Accordingly strength perspective-based intervention focused on family resilience would be more effective than deficit perspective-based intervention based on family stress.

• Korean Journal of Cognitive Science
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• v.1 no.2
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• pp.347-360
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• 1989

Retearches on epistemology for artificial intelligence have started quite recently.Recently,Konolige made a contribution to epistemology by proposing a deduction model based on an efficieit modal logic for a proof mechanism for belief.In this thesis,a unified and generalized proof mechanism for the epistemic logic using a formal system called a View is pesented.In addition,the algorithm to adapt the theorem prover according to the given rule schema,which charncterizes the deduction model of the epistemic logic,is constructed. With this algorlthm,multiple agents having different rule schemas can co-exist in the proposed system. The soundness and completeness of the proposed proof mechanism is proved and a simple theorem prover is implemented to demonstrate the usefulness and practilcality.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.215-219
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• 2002

인터넷의 급속한 성장으로 e비즈니스의 인터넷 사용이 증대되었다. 인터넷 환경에서는 새로운 인터넷 사용자라는 소비자를 대상으로 인터넷 소비자 행동에 관한 연구가 중요한 분야로 자리잡게 되었다. 인터넷상에서의 소비자 행동을 설명하기 위해 온라인 인지절차 (Cognitive process)에 관한 연구로, 웹 사이트에 대한 소비자의 태도에 미치는 영향을 밝히는 연구들이 수행되었다. 웹 사이트에 대한 소비자의 태도에 따른 개인화된 마케팅을 위해서는 웹사이트를 소비자의 특성을 고려해서 개인화된 웹사이트를 운영해야 한다. 개인의 정보 시스템 사용에 대한 설명을 위하여 많은 모형들이 개발되어 왔다. 기술 수용 모형(Technology Acceptance Model: TAM)은 개인의 정보 시스템 수용에 영향을 미치는 요소를 설명하기 위하여 가장 폭 넓게 사용되고 있는 모형이다. TRA 모형에 따르면, 개인의 사회적 행위는 그 행위의 결과에 대한 신념에 의해 영향을 받는다고 할 수 있다. 본 연구에서는 고객의 신념을 신뢰 (Trust), 유용성 (Usefulness), 사용의 편의성 (Ease of Use), 위험 (Risk), 보안통제 (Security control)로 분류하고, 고객의 실제 사용 (Usage)을 인터넷 뱅킹 환경에서 측정하여 고객세분화에 적용하였다. 세분화된 고객집단을 분류하기 위해서 인공신경망, 판별 분석 기법을 적용하여 웹 사이트에서 사용할 수 있는 개인화 모형을 개발하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.431-431
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• 2023

In recent decades, the socio-hydrology community has developed several socio-hydrological frameworks to understand the complexity of the coupled human-water system. Although there have been efforts to relate sociology and hydrology, there still have been some insights that remain debatable. As for this study, the Value-belief-norm theory was used to represent the human behavior in order to connect the human-water system. The theoretical framework of values, beliefs and norms was developed to understand the human culture towards the environment. In addition to the theory, norms are legislation of human behavior in the society while the values are the guiding principle to motivate beliefs and norms. The overview of this study implied on developing a socio-hydrological model consisting of the four systems defined as hydrology, socio-economy, technology and institutional. The interconnectors between the four systems are the key variables and parameters representing a module namely the causal loop diagram. Moreover, water quality, size of population, infrastructure capacity and norms are the key variables to connect the four systems. The developed model will be applied to Han River to represent the coevolutionary of the dynamics of human-water systems.

• Journal of Korean Public Health Nursing
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• v.37 no.1
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• pp.111-124
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• 2023

Purpose: This study aimed to investigate the effects of restorative family circles (RFCs) on empowerment and family support for people with mental illness, and the belief system and caring experience of their families. Methods: This study used a quasi-experiment with a non-equivalent control group pretest-posttest non-synchronized design. Ninety-two dyads of patient-family caregivers were recruited using convenience sampling and assigned to the experimental and control groups. The subjects of the experimental group participated in RFCs consisting of eight 90-minute sessions. Data were collected at three different times (pretest, posttest, follow-up test) and analyzed for the effects of RFC using the 𝑥² test, Fisher's exact test, Mann-Whitney U test for homogeneity between groups, and generalized estimating equation models. Results: The findings of this study showed that there were significant differences in the family support for people with mental illness between the pretest and follow-up test, and also in the belief system and caring experience of the family between the pretest and posttest. Conclusion: This study revealed that family interventions based on restorative justice emphasizing community-driven conflict management could be used in psychiatric mental health nursing care for fostering a cohesive family relationship.

• Journal of The Geomorphological Association of Korea
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• v.27 no.1
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• pp.61-89
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• 2020

The objective of this study is to characterize landslide susceptibility depending on various geo-environmental variables as well as to compare the Frequency Ratio (FR) and Evidential Belief Function (EBF) methods for landslide susceptibility analysis of rainfall-induced landslides. In 2013, a total of 259 landslides occurred in Chuncheon, Gangwon Province, South Korea, due to heavy rainfall events with a total cumulative rainfall of 296~721mm in 106~231 hours duration. Landslides data were mapped with better accuracy using the geographic information system (ArcGIS 10.6 version) based on the historic landslide records in Chuncheon from the National Disaster Management System (NDMS), the 2013 landslide investigation report, orthographic images, and aerial photographs. Then the landslides were randomly split into a testing dataset (70%; 181 landslides) and validation dataset (30%; 78 landslides). First, geo-environmental variables were analyzed by using FR and EBF functions for the full data. The most significant factors related to landslides were altitude (100~200m), slope (15~25°), concave plan curvature, high SPI, young timber age, loose timber density, small timber diameter, artificial forests, coniferous forests, soil depth (50~100cm), very well-drained area, sandy loam soil and so on. Second, the landslide susceptibility index was calculated by using selected geo-environmental variables. The model fit and prediction performance were evaluated using the Receiver Operating Characteristic (ROC) curve and the Area Under Curve (AUC) methods. The AUC values of both model fit and prediction performance were 80.5% and 76.3% for FR and 76.6% and 74.9% for EBF respectively. However, the landslide susceptibility index, with classes of 'very high' and 'high', was detected by 73.1% of landslides in the EBF model rather than the FR model (66.7%). Therefore, the EBF can be a promising method for spatial prediction of landslide occurrence, while the FR is still a powerful method for the landslide susceptibility mapping.

• 한국태양에너지학회:학술대회논문집
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• 2012.03a
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• pp.419-424
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• 2012

This paper discusses the state-of-the-art techniques in real-time state estimation for the Smart Microgrids. The most popular method used in traditional power system state estimation is a Weighted Least Square(WLS) algorithm which is based on Maximum Likelihood(ML) estimation under the assumption of static system state being a set of deterministic variables. In this paper, we present a survey of dynamic state estimation techniques for Smart Microgrids based on Belief Propagation (BP) when the system state is a set of stochastic variables. The measurements are often too sparse to fulfill the system observability in the distribution network of microgrids. The BP algorithm calculates posterior distributions of the state variables for real-time sparse measurements. Smart Microgrids are modeled as a factor graph suitable for characterizing the linear correlations among the state variables. The state estimator performs the BP algorithm on the factor graph based the stochastic model. The factor graph model can integrate new models for solar and wind correlation. It provides the Smart Microgrids with a way of integrating the distributed renewable energy generation. Our study on Smart Microgrid state estimation can be extended to the estimation of unbalanced three phase distribution systems as well as the optimal placement of smart meters.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.262-274
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• 2013

This study was performed in order to verify the effect of family resilience in youth suicide. The subject was the third year of high school boys in Gwang-ju, 308 questionnaires were used in the analysis. In order to derive the results of a study, we used the statistical processing technique SPSS, to perform verification of factor analysis and reliability of each variable, AMOS analysis was performed for hypothesis testing. According to the result of the study, belief systems which was sub-variables of family resiliency affect communication, and communication influence on the idea of adolescents suicide. In addition, the belief system has an indirect impact on the communication mediated suicidal thought. Thus, If we emphasize the harmony between family, suicidal thought of adolescent will be reduced. So we proposed the way to increase the belief of the family, and ways to improve communication between parents and children.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.713-716
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• 2013

Social and behavioral scientists have proposed that a person's belief system crucially influences his or her behaviour, and therefore may affect outcomes of pain management. The purpose of this study was to explore the relationship between analgesic beliefs, analgesic adherence and pain experience amongst Taiwanese cancer outpatients. The cross-sectional study included 92 oncology outpatients in two teaching hospitals in the Taipei area of Taiwan. The research instruments included the Pain Opioid Analgesic Beliefs Scale-Cancer (POABS-CA), opioid adherence, and the Brief Pain Inventory-Chinese (BPI-Chinese). Beliefs about pain and opioids demonstrated a significant relationship with patients' opioid adherence (r = -0.30, p < 0.01). The more negative beliefs regarding opioids and pain the patient had, the worse their adherence to around the clock (ATC) analgesic regimen. However, there was no significant correlation between opioid belief and pain experience. As well, there were no significant relationships between adherence to opioid regimen and any of the measures of pain experience. The study highlights the potential importance of a patient's pain and opioid beliefs in adherence to pain medication.

• Journal of muscle and joint health
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• v.26 no.1
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• pp.35-45
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• 2019

Purpose: This study aimed to investigate perception of patient safety culture, incident reporting, and safety care activities among clinical nurses and to identify factors associated with the safety care activities. Methods: Structured questionnaires were used to collect data from 155 nurses who were involved in direct patient-care. Results: Descriptive statistical anaylses revealed that the mean score of patient safety culture was $3.26{\pm}0.32$ and $4.19{\pm}0.41$ was for the safety care activities. In incident reporting, reporting intention ($3.56{\pm}0.68$), belief in improvement ($3.42{\pm}0.60$), worry about appraisal ($3.37{\pm}0.65$) and reporting knowledge ($3.36{\pm}0.72$) respectively. Correlational analyses showed that perceived patient safety culture (r=.36), reporting intention (r=.34), belief in improvement (r=.32), and the knowledge (r=.38) in incident reporting were positively correlated with safety care activities, while the worry about appraisal in incident reporting attitude was negatively correlated. The factors associated with safety care activities were incident reporting knowledge (${\beta}=.31$, p<.001), supervisor/managers' attitudes toward patient safety culture (${\beta}=.29$, p<.001), belief in improvement of incident reporting attitude (${\beta}=.16$, p=.041). Conclusion: These results suggest that to improve safety care activities among hospital nurses, it is necessary to educate nurses on incident reporting. Also, a system-level approach is needed to support leadership in patient safety and to provide positive feedback on incident reporting.