• 가정과삶의질연구
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• 제27권1호
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• pp.165-179
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• 2009

The purpose of this study is to analyze the effectiveness of a host family experience program on the adaptive behavior and self-management skills of children with severe disabilities and to suggest its applicability into clinical practice. The investigators developed a host family experience program and researched the pre-test and post-test designs with nonequivalent groups. The experiment and comparison groups were comprised of 34 children with severe disabilities that lived at S, a care facility for the severely disabled. They were examined for the program's effects on them before and after the application. After analyzing 17 cases for differences in the subjects' quantitative scores, a qualitative analysis was carried out on one representative case. The quantitative analysis results reveal that the experiment group showed a significant increase in their scores of adaptive behavior and self-management skills compared to the comparison group. Positive changes were also observed among the former group in the qualitative analysis. Thus the host family experience program was effective in improving the adaptive behavior and self-management skills of the children with severe disabilities at the facility. These findings indicate that the host family experience program played a positive role in enhancing the adaptive behavior and self-management skills of the children with severe disabilities at the facility and that such host family experience programs should be applied and reinforced in the field of social welfare practice.

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제30권2호
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• pp.203-220
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• 2023

A new modification of the SIS epidemic model incorporating the adaptive host behavior is proposed. Unlike the common situation in most epidemic models, this system has two disease-free equilibrium points, and we were able to prove that as the basic reproduction number approaches the threshold of 1, these two points merge and a Bogdanov-Takens bifurcation of codimension three occurs. The occurrence of this bifurcation is a sign of the complexity of the dynamics of the system near the value 1 of basic reproduction number. Both local and global stability of disease-free and endemic equilibrium point are studied.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.312-334
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• 2023

In large-scale computing, cloud computing plays an important role by sharing globally-distributed resources. The evolution of cloud has taken place in the development of data centers and numerous servers across the globe. But the cloud information centers incur huge operational costs, consume high electricity and emit tons of dioxides. It is possible for the cloud suppliers to leverage their resources and decrease the consumption of energy through various methods such as dynamic consolidation of Virtual Machines (VMs), by keeping idle nodes in sleep mode and mistreatment of live migration. But the performance may get affected in case of harsh consolidation of VMs. So, it is a desired trait to have associate degree energy-performance exchange without compromising the quality of service while at the same time reducing the power consumption. This research article details a number of novel algorithms that dynamically consolidate the VMs in cloud information centers. The primary objective of the study is to leverage the computing resources to its best and reduce the energy consumption way behind the Service Level Agreement (SLA)drawbacks relevant to CPU load, RAM capacity and information measure. The proposed VM consolidation Algorithm (PVMCA) is contained of four algorithms: over loaded host detection algorithm, VM selection algorithm, VM placement algorithm, and under loading host detection algorithm. PVMCA is dynamic because it uses dynamic thresholds instead of static thresholds values, which makes it suggestion for real, unpredictable workloads common in cloud data centers. Also, the Algorithms are adaptive because it inevitably adjusts its behavior based on the studies of historical data of host resource utilization for any application with diverse workload patterns. Finally, the proposed algorithm is online because the algorithms are achieved run time and make an action in response to each request. The proposed algorithms' efficiency was validated through different simulations of extensive nature. The output analysis depicts the projected algorithms scaled back the energy consumption up to some considerable level besides ensuring proper SLA. On the basis of the project algorithms, the energy consumption got reduced by 22% while there was an improvement observed in SLA up to 80% compared to other benchmark algorithms.