• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3852-3864
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• 2016

Patients' health data is very sensitive and the access to individual's health data should be strictly restricted. However, many data consumers may need to use the aggregated health data. For example, the insurance companies needs to use this data to setup the premium level for health insurances. Therefore, privacy-preserving data aggregation solutions for health data have both theoretical importance and application potentials. In this paper, we propose a privacy-preserving health data aggregation scheme using differential privacy. In our scheme, patients' health data are aggregated by the local healthcare center before it is used by data comsumers, and this prevents individual's data from being leaked. Moreover, compared with the existing schemes in the literature, our work enjoys two additional benefits: 1) it not only resists many well known attacks in the open wireless networks, but also achieves the resilience against the human-factor-aware differential aggregation attack; 2) no trusted third party is employed in our proposed scheme, hence it achieves the robustness property and it does not suffer the single point failure problem.

• Steel and Composite Structures
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• v.49 no.4
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• pp.407-417
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• 2023

After a disaster like the catastrophic earthquake, the government have to use rapid assessment of the condition (or damage) of bridges, buildings and other infrastructures is mandatory for rapid feedbacks, rescue and post-event management. Many domain schemes based on the measured vibration computations, including least squares estimation and neural fuzzy logic control, have been studied and found to be effective for online/offline monitoring of structural damage. Traditional strategies require all external stimulus data (input data) which have been measured available, but this may not be the generalized for all structures. In this article, a new method with unknown inputs (excitations) is provided to identify structural matrix such as stiffness, mass, damping and other nonlinear parts, unknown disturbances for example. An analytical solution is thus constructed and presented because the solution in the existing literature has not been available. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Simulation results of linear and nonlinear structures show that the proposed method is able to identify structural parameters and their changes due to damage and unknown excitations. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.393-405
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• 2023

Accurate prediction of wind speed and power is vital for enhancing the efficiency of wind energy systems. Numerous solutions have been implemented to date, demonstrating their potential to improve forecasting. Among these, deep learning is perceived as a revolutionary approach in the field. However, despite their effectiveness, the noise present in the collected data remains a significant challenge. This noise has the potential to diminish the performance of these algorithms, leading to inaccurate predictions. In response to this, this study explores a novel feature engineering approach. This approach involves altering the data input shape in both Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) and Autoregressive models for various forecasting horizons. The results reveal substantial enhancements in model resilience against noise resulting from step increases in data. The approach could achieve an impressive 83% accuracy in predicting unseen data up to the 24th steps. Furthermore, this method consistently provides high accuracy for short, mid, and long-term forecasts, outperforming the performance of individual models. These findings pave the way for further research on noise reduction strategies at different forecasting horizons through shape-wise feature engineering.

• Journal of Hospice and Palliative Care
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• v.14 no.1
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• pp.20-27
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• 2011

Purpose: The purpose of this study was to investigate the effects of Death Education Program which had been provided to family caregivers of disabled individuals. A single group pretest-posttest design was employed for this study, which was conducted at a community rehabilitation center located in Ulsan, South Korea. Methods: Death Education Program was conducted for 16 family caregivers of disabled individuals who agreed to participate in this study. A 2.5-hour session was conducted once a week for 10 weeks. To investigate the effects of the education program, structured questionnaires, which assessed the patients and their family member's conceptions on the meaning of life, and their resilience, burden, and attitude towards death, were administered before and after the program. Results: The subjects' conception of the meaning of life and resilience did not significantly change. The median scores for the burden of family caregivers declined, while those for the subjects' attitude towards death increased, after attending the education program. Conclusion: The findings showed that Death Education Program has an affirmative effect on the burden of family caregivers of disabled individuals and their attitude towards death.

• Journal of Convergence for Information Technology
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• v.7 no.6
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• pp.193-199
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• 2017

The research is aimed at finding out the relationship between vocational stress and willingness to engage in vocational stress, which measures vocational stress and the ability to cope with the job, and how the job stress relates to job mobility. First of all, the job stress and willingness to transfer jobs related to sexual harassment related agencies have a positive correlation, while self-exploitation, job stress, and willingness to move jobs have shown negative correlation. Second, the self-assessment of self-assessment of ego resilience has served as a complete parameter in relation to the relationship between employee motivation and willingness to leave the job, which is the job of occupational duties. Based on this study, it is important to note that self-reference is an important factor in determining the role of job stress in the workforce because of its self-reference of job stress and motivation in relation to job stress.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.403-411
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• 2016

Recently, the number of occurrences of inundation and the severity of flood damage has increased rapidly as the frequency of localized heavy rainfall and the ratio of impervious area increased in urban areas. Most local governments focus on employing structural measures (e.g., the construction of detention reservoirs/pump stations, rehabilitation of drainage and sewer pipes) to prevent urban inundation. On the other hand, the effectiveness of implementing such structural measures is being dimished because there are already many inundation prevention facilities. The limitation of structural measures can be overcoming by employing non-structure measures, such as flood alerts and the operation of drainage facilities. This study suggests the pump operation rule (i.e., suggesting pump stop level) for a new detention reservoir operating method, which triggers the operation of a pump based on the water level at the monitoring node in urban drainage system. In the new reservoir operation, a total of 48 rainfall events are generated by the Huff distribution for determining the proper pump stop level. First, the generated rainfall events are distributed as frequencies, quartiles, and durations. The averaged system resilience value was determined to range from 1.2 m to 1.5 m is based on the rainfall-runoff simulation with rainfall generated by the Huff distribution. In this range, 1.2 m was identified considering the safety factor of 1.25 by the Standard on sewer facilities in 2011.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.237-248
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• 2021

Based on sports known to reduce adolescents' smartphone addiction, this study aims to identify the structural causal relationship between sport commitment and smartphone addiction. First of all, based on prior studies, it was intended to show that adolescents' sport commitment is effective in reducing smartphone addiction through social support and ego-resilience, and that such causal relationships vary significantly depending on gender. To this end, a survey of 605 middle and high school students was conducted, and the structural relationship between the four established latent variables was analyzed by analyzing the structural equation model using the SPSS 25.0 and AMOS 23.0 programs. According to the analysis, adolescents' sport commitment was found to have an adverse effect on smartphone addiction, and social support and ego-resilience in the relationship between the two variables were found to have a mediated effect. In addition, these results showed significant differences in gender. This study expanded the field of smartphone addiction and sports convergence study by revealing the relationship between sport commitment as psychological recognition variable and addiction Unlike previous studies using a participation time, duration, and intensity, and suggested that structural relationships with personal characteristic variables and gender-specific approaches are important. Through this, it is meaningful that it provided basic data for in-depth convergence study in the smartphone addiction and development of gender-specific programs.

• Journal of Korea Water Resources Association
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• v.56 no.1
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• pp.11-21
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• 2023

This study suggests the drought resilience index as S-day as a means of preparing for the recent extreme drought, allowing for the actual operational identification of each drought countermeasure's priority as well as the vulnerability of water resource facilities to drought. Although each dam's drought measures are unique in this case, the representative examples include adjusting the water supply, linking the functioning of various facilities, and considering emergency capacity. Here, 15 multipurpose dams and water supply dams in Korea were inspected. Under the return period of 20-year drought, most of dams showed stable by adjusting the water supply overall. The measures, however, did not seem to be able to resist a multi-year drought lasting more than two years. Besides, Hoengseong and Anodong-Imha Dam only lasted a year under the 100-year drought return period with other measures. Without the deployment of drought mitigation strategies, it is expected that the Hoengseong Dam, Andong-Imha Dam, Gunwi Dam, Unmun Dam, Daecheong Dam, and Juam Dam would not be able to meet the all water demand for a year under the 20-year drought condition. The ideal capacity for each drought measure was then suggested. Additionally, by increasing or decreasing the current supply contract by 10% in order to account for demand changes resulting from socio-economic instability, the drought response capacity of all 15 dams was re-evaluated. By lowering the supply contract amount by 10%, it was possible to endure a severe drought.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.71-78
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• 2020

The purpose of this primitive experimental study was to find the effects of peer teaching on self-leadership, psychological capitals(hereafter, psycap) and learning satisfaction of nursing freshmen. The data measured before and after 12 times peer teaching for 30 minutes were analyzed with SPSS 21 for descriptive statistics, t-test, ANOVA and paired t-test. There were significant increases in academic satisfaction of low subjective school grades group, and in resilience of below average prefer discussion group before and after treatment. There were significant differences in self-leadership and psycap before and after treatment(p=.002, p=.044), confidence and resilience among sub-domains of psycap increased significantly(p=.006, p=.015). Finally, peer teaching have increased self-leadership and psycap of nursing freshmen. Therefore, further studies are proposed to apply various types of peer teaching in nursing curriculum.

• Journal of muscle and joint health
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• v.24 no.3
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• pp.217-226
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• 2017

Purpose: The aim of this study was to identify the effects of Tai Chi training program on physical fitness, stress response and ego-resiliency in nursing students. Methods: 28 nursing students of D metropolitan city participated in non-equivalent control group pre- and post-test group test in quasi experimental design with written consent. Fourteen participants in the control group who did usual activities and 14 experimental participants who promised to participate 24 Tai Chi training sessions for 12 weeks. Both groups completed pre- and post-test measurement for physical fitness, a questionnaire regarding their stress response and ego-resiliency. Each 60-minute Tai Chi session was consisted of 5-minute warm up, 10-minute meditation, 40-minute Tai Chi, and 5-minute finishing exercise. Results: After 12 weeks, participants in the Tai Chi group reported significantly higher score in muscle endurance (t=3.77, p=.001), leg muscular strength (t=2.14, p=.042), and balance (t=2.12, p=.044) compared to the control group. The Tai Chi group recorded significantly lower score than the control group on stress response (t=2.75, p=.011). Conclusion: The findings highlight the importance of Tai Chi for a reduction in stress response and promotion in physical fitness in nursing students. Applying Tai Chi training to nursing program will help nursing students to have better academic performance.