• Title/Summary/Keyword: cluster resilience

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Convergence differences of academic burnout, career preparation behavior etc. by resilience clusters of students majoring in Medical records (의무기록 전공 대학생의 회복탄력성 군집에 따른 학업소진, 진로준비행동 등의 융합적 차이)

  • Lee, Hyun-Ju
    • Journal of the Korea Convergence Society
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    • v.8 no.4
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    • pp.67-77
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    • 2017
  • The purpose of this study is to find convergence differences of academic burnout, career preparation behavior, and general characteristics of the students majoring in medical records according to each cluster of resilience, and draw a proper improvement plan. A self-administered questionnaire survey had been conducted and a total of 168 copies were analyzed. As a results Cluster analysis was conducted on three detailed categories of resilience and was classified into two clusters. Cluster1 was a group that had points higher than the average points of Korean in each one of three categories. Cluster2 had all of which were lower points than that. Cluster1 had higher points than cluster2 in terms of career preparation behavior, hobby, subjectively good health condition, extroverted personality, good academic records, satisfaction with school life, and study satisfaction ratio, but had lower points than cluster2 in terms of academic burnout. Therefore, positiveness enhancement education focused on cluster2 will improve total group resilience.

An Analysis of International Research Trends in Green Infrastructure for Coastal Disaster (해안재해 대응 그린 인프라스트럭쳐의 국제 연구동향 분석)

  • Song, Kihwan;Song, Jihoon;Seok, Youngsun;Kim, Hojoon;Lee, Junga
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.26 no.1
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    • pp.17-33
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    • 2023
  • Disasters in coastal regions are a constant source of damage due to their uncertainty and complexity, leading to the proposal of green infrastructure as a nature-based solution that incorporates the concept of resilience to address the limitations of traditional grey infrastructure. This study analyzed trends in research related to coastal disasters and green infrastructure by conducting a co-occurrence keyword analysis of 2,183 articles collected from the Web of Science (WoS). The analysis resulted in the classification of the literature into four clusters. Cluster 1 is related to coastal disasters and tsunamis, as well as predictive simulation techniques, and includes keywords such as surge, wave, tide, and modeling. Cluster 2 focuses on the social system damage caused by coastal disasters and theoretical concepts, with keywords such as population, community, and green infrastructure elements like habitat, wetland, salt marsh, coral reef, and mangrove. Cluster 3 deals with coastal disaster-related sea level rise and international issues, and includes keywords such as sea level rise (or change), floodplain, and DEM. Finally, cluster 4 covers coastal erosion and vulnerability, and GIS, with the theme of 'coastal vulnerability and spatial technique'. Keywords related to green infrastructure in cluster 2 have been continuously appearing since 2016, but their focus has been on the function and effect of each element. Based on this analysis, implications for planning and management processes using green infrastructure in response to coastal disasters have been derived. This study can serve as a valuable resource for future research and policy in responding to and managing various disasters in coastal regions.

Critical Review on the Cluster Adaptive Cycle Model (클러스터 적응주기 모델에 대한 비판적 검토)

  • Jeon, Jihye;Lee, Chulwoo
    • Journal of the Economic Geographical Society of Korea
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    • v.20 no.2
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    • pp.189-213
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    • 2017
  • This study seeks to critically examine the significance and limits of the cluster adaptive cycle model for analysis of cluster evolution and to propose research issues for future analysis of cluster evolution based on this critical examination. Until the 1980s, research on industrial complexes including clusters was based on a 'static perspective' that focuses on the aspect of economic space at a specific point in time, but the research paradigm has recently shifted to a 'dynamic perspective' focusing on 'evolution' of 'complex adaptive systems'. As a result, the adaptive cycle model has attracted attention as an analysis tool of dynamically evolving clusters. However, the cluster adaptive cycle model has emerged by being appropriately modified and expanded according to the properties of the cluster and its evolution. The cluster adaptive cycle model is a comprehensive analysis framework that identifies the characteristics of cluster evolution in terms of resource accumulation, interdependence, and resilience and classifies cluster evolution paths into six different categories. Nevertheless, there is still a need for further discussion and supplementation in terms of theoretical and empirical research to expand and deepen the model. Therefore, research issues for future analysis of cluster evolution are to specify and elaborate the cluster evolution model, to emphasize the concept of resilience, and to verify the applicability and usefulness of the model through empirical research.

Development of Energy-sensitive Cluster Formation and Cluster Head Selection Technique for Large and Randomly Deployed WSNs

  • Sagun Subedi;Sang Il Lee
    • Journal of information and communication convergence engineering
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    • v.22 no.1
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    • pp.1-6
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    • 2024
  • Energy efficiency in wireless sensor networks (WSNs) is a critical issue because batteries are used for operation and communication. In terms of scalability, energy efficiency, data integration, and resilience, WSN-cluster-based routing algorithms often outperform routing algorithms without clustering. Low-energy adaptive clustering hierarchy (LEACH) is a cluster-based routing protocol with a high transmission efficiency to the base station. In this paper, we propose an energy consumption model for LEACH and compare it with the existing LEACH, advanced LEACH (ALEACH), and power-efficient gathering in sensor information systems (PEGASIS) algorithms in terms of network lifetime. The energy consumption model comprises energy-sensitive cluster formation and a cluster head selection technique. The setup and steady-state phases of the proposed model are discussed based on the cluster head selection. The simulation results demonstrated that a low-energy-consumption network was introduced, modeled, and validated for LEACH.

The Effect of College Sport Club Participants Ego-Resilience on College Adjustment

  • CHOI, Jae Hoon;LEE, Dong Gun;MOON, Hwang Woon
    • Journal of Sport and Applied Science
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    • v.4 no.3
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    • pp.11-22
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    • 2020
  • Purpose: The purpose of this study is to analyze the effect of college sport club participants' ego-resilience on the college adjustment. Research design, data, and methodology: To accomplish the purpose, 360 participants were sampled by means stratified cluster random sampling method. Only 317 questionnaires were statistically processed, while 43 questionnaires were excluded because their respondents failed to complete instrument and judged insincere in filling out questionnaire. To analyze the data collected, statistical techniques, such as descriptive statistics, reliability analysis, independent-sample t-test, and one-way ANOVA, multiple regression analysis were used, and as for difference verification between individual groups in relation to significant results, Duncan's multiple range was conducted. Results: The following results have been drawn out via hypothesis test. First. the background variable of the college sport club participants of was proved to affect the degree of their ego-resilience on the college adjustment. Specifically, their period of participation, frequency of participation and expenses made a statistically meaningful. Second, the college sport club participants of ego-resilience were proved to affect the college adjustment. Academic adjustment, social adjustment, personal-emotional adjustment and institutional attachment made a statistically meaning-full difference. Conclusions: The findings indicate the function of sport club participants' ego-resilience in assisting their adjustment.

The Influence of Parental Behavior on Ego Resilience of Korean Middle School Student (부모의 양육 행동이 중학생의 자아탄력성에 미치는 영향)

  • Ahn, Min Choul;Seo, Jeong Seok;Moon, Seok Woo;Kim, Tae Ho;Nam, Beomwoo
    • Korean Journal of Psychosomatic Medicine
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    • v.24 no.2
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    • pp.140-145
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    • 2016
  • Objectives : Parental behavior is related to personality development and ego resilience in the childhood. The objective of this study was to identify the influence of parental behavior on ego resilience in Korean middle school student. Methods : Subjects were selected based on stratified multi-stage cluster sampling in Korea youth panel study 2013(Boy : N=1,075, Girl : N=1,033). We used Parental behavior inventory(PBI) to estimate parental behavior and the Ego resilience scale to estimate ego resilience. The data were statistically analyzed using a Pearson correlation analysis and regression analysis with the statistical package for the social sciences(SPSS). We considered differences to be significant when p<0.05. Results : A regression analysis showed that rational explanation, affection, Interest and inconsistency of the parental behavior domains influence ego resilience. Also rational explanation, affection and Interest of the parental behavior domains showed a significant positive correlation with ego resilience(r=0.24, r=0.31, r=0.22, p<0.01). In contrast to early childhood studies, inconsistency showed no significant correlation. Conclusions : Adolescents who had taken more rational explanation, interest and affection from their parents were more likely to have higher ego resilience. However, inconsistency of parental behavior showed no correlation with ego resilience of adolescents, which means that they are affected by several other factors than parental behavior. This study would be a basic research that could be a help to psychosocial approach in pediatric psychiatry.

A Secure Data Transmission Mechanism for Sensor Network Communication (센서네트워크 통신을 위한 안전한 데이터 전송 기법)

  • Doh, In-Shil;Chae, Ki-Joon
    • The KIPS Transactions:PartC
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    • v.14C no.5
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    • pp.403-410
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    • 2007
  • For reliable sensor network communication, secure data transmission mechanisms are necessary. In our work, for secure communication, we cluster the network field in hexagonal shape and deploy nodes according to Gaussian distribution. After node deployment, clusterheads and gateway nodes in each cluster play the role of aggregating and delivering the sensed data with suity information all the way to the base station. Our mechanism decreases the overhead and provides food performance. It also has resilience against various routing attacks.

The End of 'Selection and Concentration': Towards a New Post-Cluster Regional Industrial Policies ('선택과 집중'의 종언: 포스트클러스터 지역산업정책의 논거와 방향)

  • Nahm, Kee-Bom
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.4
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    • pp.764-781
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    • 2016
  • During the last two decades, industrial cluster policies for promoting regional economic growth and industrial development have been flourishing all over the world. Even though cluster policies have partly contributed to regional industrial growth and innovation capabilities, they have long been blamed for regional industrial lock-ins and declining regional industrial resilience because of applying homeogenous cluster policies and regional specialized strategic industrial promotion policies for various localities, which are based on so-called 'selection and concentration' principle. This paper suggests postcluster policy focused on placed-based smart specialization and regional business platform strategies.

New Security Layer for OverLay Networks

  • Imai, Hideki;Shin, Seong-Han;Kobara, Kazukuni
    • Journal of Communications and Networks
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    • v.11 no.3
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    • pp.211-228
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    • 2009
  • After clarifying the underlying problems in a secure network storage, we introduce two important requirements, leakageresilience and availability in higher levels respectively, for data keys that are used to protect remotely-stored data. As a main contribution of this paper, we give a new security layer for overlay networks by proposing a leakage-resilient authentication and data management system. In this system, we specifically propose a single mode and a cluster mode where the latter provides a higher level of both leakage-resilience and availability for the data key.

The Evolution of the IT Service Industry in the U.S. National Capital Region: The Case of Fairfax County (미국 수도권 IT서비스산업 집적지의 진화: 페어팩스 카운티를 사례로)

  • Huh, Dongsuk
    • Journal of the Economic Geographical Society of Korea
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    • v.16 no.4
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    • pp.567-584
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    • 2013
  • This study aims to explore an evolutionary path of the IT service industry in Fairfax County using the Cluster Adaptive Cycle model in economic geography. The analysis is based on detailed historical and industrial information obtained through a variety of data sources including local archival materials, economic census, and interviews. This study also performs a shift-share analysis during the period of 1990 to 2011. Using the adaptive cycle model, the local IT service industry is indicated by a trajectory of constant cluster mutation. The evolution of the local IT service industry has been closely related to federal government policy due to the regional specificity of the National Capital Region and the proximity of the Department of Defense. Although the economic downturn of the late 2000s, the local IT service industry has been notable resilience and adapted to a changing market and technological environment. This constant mutation of the local industry is resulted from not only high resilience which is based on the large government procurement market, the reinforcement of adaptive capacity of the local firms and the network of economic agents such as firm and supporting institutions, but also high flexibility of the knowledge-based service industry to a changing business environment.

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