• Journal of Technologic Dentistry
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• v.45 no.4
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• pp.102-110
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• 2023

Purpose: This study aims to examine the influence of personality types on recovery resilience and college life adjustment among dental technology students. Methods: The study recruited 165 students in colleges in some areas using convenience sampling. Data were processed through reliability analysis, frequency analysis, descriptive statistics, and correlation analysis. Moreover, linear regression analysis was performed to confirm the influence. Results: The results confirmed that the motivation for selecting a department exerted an effect on adaptation to college life and satisfaction with majors (p<0.05). Additionally, the finding indicated that personality type partially influenced resilience and adaptation to college life among dental technology students (p<0.05). Finally, the results of regression analysis on adaptation to college life found that resilience and satisfaction with majors were significant predictors of adaptation to college life (p<0.05). Conclusion: To improve adaptation to college life, increasing resilience and satisfaction with majors is necessary.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.306-315
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• 2019

The purpose of this study was to analyze empirically influential factors related to the recovery of people with a mental disorder and also the moderating effects of family resilience. For this purpose, the investigator developed a research model that took into consideration both the positive and negative elements of individual and social factors based on the ecological, psychological, social, and ecosystem perspectives in previous studies and checked their causal effects and the moderating effects of family resilience in statistical significance. The subjects include 112 clients at an institution for people with a mental disorder. Data was collected with an interview based on a structured questionnaire. Collected data was put to the multiple regression analysis. The analysis results show that there was statistical significance in self-esteem, social stigma, and social support excluding symptoms and that the moderating effects of family resilience had positive(+) synergistic effects only on self-esteem and social support. Based on these results, the study made proposals about practice strategies including the establishment of internal and external support systems to make an effective approach to recovery and the systemization of family resilience and supportive strategies to promote the smooth recovery of people with a mental disorder through the reinforcement of programs related to the confirmed positive elements of self-esteem and social support.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.9
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• pp.4287-4306
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• 2016

Network resilience provides an effective way to overcome the problem of network failure and is crucial to Internet protocol (IP) network management. As one of the main challenges in network resilience, recovering from link failure is important to maintain the constancy of packets being transmitted. However, existing failure recovery approaches do not handle the traffic engineering problem (e.g., tuning the routing-protocol parameters to optimize the rerouting traffic flow), which may cause serious congestions. Moreover, as the lack of QoS (quality of service) restrictions may lead to invalid rerouting traffic, the QoS requirements (e.g., bandwidth and delay) should also be taken into account when recovering the failed links. In this paper, we first develop a probabilistically correlated failure model that can accurately reflect the correlation between link failures, with which we can choose reliable backup paths (BPs). Then we construct a mathematical model for the failure recovery problem, which takes maximum rerouting traffic as the optimizing objective and the QoS requirements as the constraints. Moreover, we propose a heuristic algorithm for link failure recovery, which adopts the improved k shortest path algorithm to splice the single BP and supplies more protection resources for the links with higher priority. We also prove the correctness of the proposed algorithm. Moreover, the time and space complexity are also analyzed. Simulation results under NS2 show that the proposed algorithm improves the link failure recovery rate and increases the QoS satisfaction rate significantly.

• Journal of Families and Better Life
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• v.27 no.2
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• pp.305-316
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• 2009

The purpose of this study was to investigate how children from low-income families perceived their family strength, ego-resilience and school adjustment. The relative magnitude of effects of family strength, ego-resilience and school adjustment were compared. Data were collected from 217 children in grade 4 through 6 who were attending local child welfare centers located in Seoul, Korea. The key research findings were as follows. Ego-resilience and perceived family strength were related to school adjustment among children in poverty. The relatively greater effect of ego-resilience implied that programs for children in poverty need to focus on developing interpersonal relationship skills or coping strategies designed to enable children from disadvantaged environments to deal with stressful events and to promote their ego-resilience. Additionally, the recovery or enhancement of family strength and ego-resilience will be effective at protecting and solving various adaptive problems that children from low-income families may experience at school.

• Knowledge Management Research
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• v.24 no.2
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• pp.27-48
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• 2023

The COVID-19 pandemic has highlighted the importance of firm resilience, particularly for small and medium-sized enterprises (SMEs). This study aimed to investigate the concept of SME resilience, the role of entrepreneurial orientation in enhancing firm resilience, and the impact of top management networking capability on this relationship. The study defined firm resilience as consisting of adaptation capacity and recovery capacity and conducted a survey of 187 domestic SMEs for empirical verification. The findings indicate that entrepreneurial orientation is a critical factor in enhancing firm resilience. Furthermore, the networking capability of top management may also contribute to firm resilience, but it weakens the relationship between entrepreneurial orientation and firm resilience as a moderating variable. In crisis situations, SMEs tend to rely more strongly on existing networks, rather than engaging in new network to acquire new resources, information, and knowledge, which can hinder their ability to adapt and recover. This study contributes to the further development and understanding of SME resilience, which is essential for enterprises to overcome crises and return to pre-shock levels.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.281-298
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• 2022

The COVID-19 pandemic has so far given the world a great shock and fear that cannot be compared to other infectious diseases, and local economies are experiencing a serious economic crisis accordingly. This paper examines the regional characteristics of economic recession and resilience due to the COVID-19 pandemic, focusing on the employment fluctuations in 85 cities nationwide. Although the overall trend is in line with national employment indicators, there are some differences in the shock response and the recovery of employment in individual cities. The difference between cities is somewhat greater in the resilience of the recovery stage than the resistance, which is the shock-response stage. In terms of resilience, cities in the capital area have relatively good condition compared to cities in the non-capital area. The weak resilience of large cities such as Seoul, which has a high population density, can be explained to be the effect of the COVID-19 pandemic of infectious diseases. Regarding the economic structure of the city, the ratio of service and sales workers, wholesalers and retailers, and food and lodging businesses are analyzed as valid explanatory variables for the resilience of cities.

• Ecology and Resilient Infrastructure
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• v.7 no.2
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• pp.97-113
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• 2020

Soil is the foundation of human life and the basis for food security. Considering this it is prioritized in the UN's Sustainable Development Goals (SDG). Therefore, research on soil resilience in the agricultural environment is crucial for sound and sustainable soil management, especially in highly uncertain and unpredictable conditions. Soil resilience is defined in different ways by several researchers; however, its definition typically includes the concepts of recovery and resistance to stress. The physical, chemical, and biological characteristics of soils that are used to assess the soil resilience, i.e., the response of soil to various types of stress are summarized in this study. In addition, various statistical processing techniques and quantification methods are summarized considering the wide spatial and temporal scope of soil resilience research. Several soil resilience studies typically conduct the following five steps: (1) soil and site selection (2) stress (independent variable) setting (3) soil characteristics and indicator (dependent variable) setting (4) performing various spatiotemporal scale experiments (5) statistical analysis. The previous and present studies present a general introduction of soil resilience, based on which, further practical research considering domestic agricultural environment should be conducted. The extensive range of soil resilience measurements will require collaboration between researchers in various fields.

• Korean Journal of Environment and Ecology
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• v.32 no.6
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• pp.667-675
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• 2018

This study was conducted to reveal the effects of forest healing programs on recovery resilience and happiness of university employees. Fourteen people who agreed on experiments were selected as the study subject, with seven people classified the experimental group and seven people into the controlled group. The subjects in the experimental group participated in the forest healing program consisting of four 60-minute long weekly sessions from October 27 to November 17, 2015 in a forest managed by University C located in Cheongju-si of Chungcheongbuk-do. For data analysis, we examined the differences in recovery resilience and happiness before and after participation in the programs through the paired t-test using the SPSS 21.0 program, and the analysis results confirmed that the forest healing program helped to increase the recovery resilience and happiness of the university employees. Although there was no statistically significant change of the controlled group, the recovery resilience and happiness of the experimental group showed a statistically significant increase. The results of this study are expected to be utilized as reference data for clarifying the effects of forest healing programs for university employees.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2000.11b
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• pp.15-19
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• 2000

This paper is about MPEG-4 error resilience tools of video streaming on packet service(ex, Internet). It is need to packetization for MPEG-4 video transport by packet unit on MPEG-4 system, this paper suggest packetization method of minimizing packet error on packet service[1]. FEC(Forward Error Correction) and retransmission is usually used for recovery of packet loss, and this paper suggest applying these method to DMIF(Delivery Multimedia Integration Framework) for minimizing packet loss[2].

• Journal of the Korean Society of Safety
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• v.38 no.1
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• pp.18-24
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• 2023

Severe natural disasters and man-made attacks such as terrorism are causing unprecedented disruptions in power systems. Due to rapid climate change and the aging of energy infrastructure, both the frequency of failure and the level of damage are expected to increase. Resilience is a concept proposed to respond to extreme disaster events that have a low probability of occurrence but cause enormous damage and is defined as the ability of a system to recover to its original function after a disaster. Resilience is a comprehensive indicator that can include system performance before and after a disaster and focuses on preparing for all possible disaster scenarios and having quick and efficient recovery actions after an incident. Various studies have been conducted to evaluate resilience, but studies on economic damage considering the duration of a power outage are scarce. In this study, we propose an optimal algorithm that can identify failures after an extreme disaster and restore the load on the distribution system through emergency distributed power generation input and system reconfiguration. After that, the cost of power outage damage is analyzed by applying VoLL and CDF according to each restoration strategy.