• 대한간호학회지
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• 제40권6호
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• pp.903-912
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• 2010

Purpose: This study was conducted to examine whether the level of classification for long-term care service under longterm care insurance reflects resource utilization level for residents in nursing homes. Methods: From 2 long-term care facilities, the researchers selected 95 participants and identified description and time of care services provided by nurses, certified caregivers, physical therapists and social workers during a 24-hr-period. Results: Resource utilization level was: 281.04 for level 1, 301.05 for level 2 and 270.87 for level 3. Resource utilization was not correlated with level. Differences in resource utilization within the same level were similar with the coefficient of variance, 22.7-27.1%. Physical function was the most influential factor on long-term care scores (r=.88, p<.001). The level for long-term care service did not reflect differences in resource utilization level of residents on long-term care insurance. Conclusion: The results of this study indicate that present grading for long-term care service needs to be reconsidered. Further study is needed to adjust the long-term care classification system to reflect the level of resource utilization for care recipients on the long-term care insurance.

• IEIE Transactions on Smart Processing and Computing
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• 제6권3호
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• pp.158-167
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• 2017

Internet-based social and interactive video applications have become major constituents of the envisaged applications for next-generation multimedia networks. However, inherently dynamic network conditions, together with varying user expectations, pose many challenges for resource allocation mechanisms for such applications. Yet, in addition to addressing these challenges, service providers must also consider how to mitigate their operational costs (e.g., energy costs, equipment costs) while satisfying the end-user quality of service (QoS) expectations. This paper proposes a heuristic solution to the problem, where the energy incurred by the applications, and the monetary costs associated with the service infrastructure, are minimized while simultaneously maximizing the average end-user QoS. We evaluate the performance of the proposed solution in terms of serving probability, i.e., the likelihood of being able to allocate resources to groups of users, the computation time of the resource allocation process, and the adaptability and sensitivity to dynamic network conditions. The proposed method demonstrates improvements in serving probability of up to 27%, in comparison with greedy resource allocation schemes, and a several-orders-of-magnitude reduction in computation time, compared to the linear programming approach, which significantly reduces the service-interrupted user percentage when operating under variable network conditions.

• 대한간호학회지
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• 제33권2호
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• pp.275-283
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• 2003

Purpose: This study was to classify elderly in long-term care hospitals for using Resource Utilization Group(RUG-III) and to consider feasibility of payment method based on RUG-III classification system in Korea. Method: This study designed by measuring resident characteristics using the Resident Assessment Instrument-Minimum Data Set(RAI-MDS) and staff time. The data were collected from 382 elderly over sixty-year old, inpatient in the five long-term care hospitals. Staff time was converted into standard time based on the average wage of nurse and aids. Result: The subjects were classified into 4 groups. The group of Clinically Complex was the largest(46.3%), Reduced Physical Function(27.2%), Behavior Problem(17.0%), and Impaired Cognition(9.4%). The average resource use for one resident in terms of care time(nurses, aids) was 183.7 minutes a day. Relative resource use was expressed as a case mix index(CMI) calculated as a proportion of mean resource use. The CMI of Clinically Complex group was the largest(1.10), and then Reduced Physical Function(0.93), Behavior Problem(0.93), and Impaired Cognition(0.83) followed. The difference of the resource use showed statistical significance between major groups(p<0.0001). Conclusion: The results of this study showed that the RUG-III classification system differentiates resources provided to elderly in long-term care hospitals in Korea.

• 아동학회지
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• 제17권1호
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• pp.5-21
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• 1996

The purpose of the present study was to investigate how 4-to 5-year-olds approach a competitive/cooperative task to obtain a resource. Sex and age differences were examined for the behavior and resource utilization of this task. The subjects were 74 same-age, mixed sex groups of 4 children each in three kindergartens in a large city. Each group of 4 children were classmates. The children were videotaped in a play situation where one child could view a cartoon movie (i. e. acquiring a resource) with the assistance of two children (one to turn the film tape and one to push the light-button), and the fourth child was a bystander. Time at each position and physical and verbal behavior constitute the data which were analyzed by ANOVA and ${\chi}^2$. The results of the time analysis showed that children cooperated quickly and were able to view the cartoon(resource utilization) for a large part of the session. High resource utilizers compared with low resource utilizers, exhibited more self-assertive and helping behaviors. Boys achieved more viewing time while girls were bystanders for a greater amount of time. Boys showed more physical and verbal behaviors during the task. Four-year-olds achieved less viewing time than 5-year-olds, indicating 4-year-olds were less effective in eliciting the help of their peers.

• 한국통신학회논문지
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• 제42권3호
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• pp.562-565
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• 2017

본 논문에서는 다수의 머신 노드들이 동시에 LTE 시스템에 액세스 요청하고, 상향 링크 패킷을 전송하는 7단계 전송 과정을 고려한다. 모델링을 통해서 무선 자원 사용량을 분석하고, 부하가 집중되는 리소스를 파악한다. 시뮬레이션 결과를 통해 하향 링크 제어 채널인 PDCCH (physical down link control channel)의 사용률이 머신 노드의 수의 증가에 따라 급속도로 증가함을 보여준다. 이를 해결하기 위해 본 논문에서는 하향 링크 공유 채널인 PDSCH (physical downlink shared channel) 자원을 PDCCH에 할당한다. 이를 통해 PDCCH 자원 사용률이 개선 되었음을 보인다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권11호
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• pp.1891-1908
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• 2011

Cyber-physical systems (CPSs) are an emerging discipline that involves engineered computing and communicating systems interfacing the physical world. The widespread applications of CPSs still face enormous challenges because of the lack of theoretical foundations. In this technical survey, we review state-of-the-art design techniques from various angles. The aim of this work is to provide a better understanding of this emerging multidisciplinary methodology. The features of CPSs are described, and the research progress is analyzed using the following aspects: energy management, network security, data transmission and management, model-based design, control technique, and system resource allocation. We focus on CPS resource optimization, and propose a system performance optimization model with resource constraints. In addition, some classic applications (e.g., integrating intelligent road with unmanned vehicle) are provided to show that the prospects of CPSs are promising. Furthermore, research challenges and suggestions for future work are outlined in brief.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4320-4333
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• 2017

Energy-efficient virtual resource allocation algorithm has become a hot research topic in cloud computing. However, most of the existing allocation schemes cannot ensure each type of resource be fully utilized. To solve the problem, this paper proposes a virtual machine (VM) allocation algorithm on the basis of multi-dimensional resource, considering the diversity of user's requests. First, we analyze the usage of each dimension resource of physical machines (PMs) and build a D-dimensional resource state model. Second, we introduce an energy-resource state metric (PAR) and then propose an energy-aware multi-dimensional resource allocation algorithm called MRBEA to allocate resources according to the resource state and energy consumption of PMs. Third, we validate the effectiveness of the proposed algorithm by real-world datasets. Experimental results show that MRBEA has a better performance in terms of energy consumption, SLA violations and the number of VM migrations.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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• pp.387-388
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• 2020

As the utilization of microservice architectural style in diverse applications are increasing, the microservice deployment cost became a concern for many companies. We propose an approach to reduce the deployment cost by generating an algorithm which minimizes the cost of basic operation of a physical machine and the cost of resources assigned to a physical machine. This algorithm will produce optimal resource allocation and deployment location based on genetic algorithm process.

• 한국지역지리학회지
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• 제12권2호
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• pp.202-214
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• 2006

본 논문에서는 금호분지를 6개의 지형단위(보현산지, 팔공산지, 비슬산지, 영천분지, 경산분지, 대구분지)로 구획한 후, 각 지형단위 내에 분포하는 지리관광자원의 자연지리학적 배경과 분포의 특성을 고찰하였다. 금호분지 내의 지리관광자원은 지형환경(32개, 78%)을 많이 반영하며, 다음으로 지질환경(7개, 17%)을 반영한다. 보현산지 내에는 3개의 지형자원이 분포하며, 팔공산지 내에는 8개의 지형자원이 분포한다. 비슬산지 내에는 5개의 지형자원과 1개의 문화자원이 분포한다. 그리고 영천분지 내에는 2개의 지형자원과 1개의 지질자원, 1개의 생물자원, 그리고 2개의 문화자원이 분포하는데, 생물자원 1개와 문화자원 1개는 지형환경을 반영한다. 정산분지 내에는 1개의 지형자원과 1개의 생물자원, 3개의 지질자원이 분포하며, 생물자원 1개는 지형환경을 반영한다. 대구분지 내에는 8개의 지형자원과 2개의 지질자원, 3개의 생물자원이 분포하는데, 생물자원 2개는 지형환경의 영향을 많이 받는다.

• 정보화연구
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• 제10권1호
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• pp.1-11
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• 2013

Various computing systems are used in naval ships. Since each system has a single purpose and its applications are tightly coupled with the physical machine, applications cannot share physical resources with each other. It is hard to utilize resources efficiently in conventional naval shipboard computing environment. In this paper, we present an integration architecture for virtualized naval shipboard computing systems based on open architecture. Our proposed architecture integrates individual computing resources into one single integrated hardware pool so that the OS and applications are encapsulated as a VM. We consider the issue of varying needs of all applications in a naval ship that have different purposes, priorities and requirements. We also present parallel VM migration algorithm that improves the process time of resource reallocation of given architecture. The evaluation results with the prototype system show that our algorithm performs better than conventional resource reallocation algorithm in process time.