• Title/Summary/Keyword: physical resource

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Relationship between Resource Utilization and Long-term Care Classification Level for Residents in Nursing Homes (노인요양시설 거주자의 장기요양등급에 따른 요양서비스 및 자원이용량 분석)

  • Lee, Min-Kyung;Kim, Eun-Kyung
    • Journal of Korean Academy of Nursing
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    • v.40 no.6
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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.

QoS-, Energy- and Cost-efficient Resource Allocation for Cloud-based Interactive TV Applications

  • Kulupana, Gosala;Talagala, Dumidu S.;Arachchi, Hemantha Kodikara;Fernando, Anil
    • IEIE Transactions on Smart Processing and Computing
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    • v.6 no.3
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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.

Resource use of the Elderly in Long-term Care Hospital sing RUG-III (요양병원 입원노인의 환자군 분류에 따른 자원이용수준)

  • 김은경
    • Journal of Korean Academy of Nursing
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    • v.33 no.2
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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.

An Observational Study on the Behaviors of 4-to 5-Year-Olds in the Cooperative/Competitive Situation (경쟁/협동상황에서의 4-5세 아동의 상호작용 관찰 연구)

  • Kim, Pan Hee
    • Korean Journal of Child Studies
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    • v.17 no.1
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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.

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Analysis of Radio Resource Utilization for a Massive M2M Communication in LTE Systems (LTE 시스템에서 극 다수 기계간 통신을 위한 무선 자원 사용량 분석)

  • Chu, Eunmi;Jung, Bang Chul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.3
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    • pp.562-565
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    • 2017
  • In this letter, we consider a 7-step transmission procedure of a large number of machine nodes when they simultaneously request random access to transmit uplink data. We model the radio resource utilization of LTE systems, and analyze the overloaded resources. From the simulation results, we show that the resource of PDCCH becomes significantly overloaded as the number of machine nodes increases in a cell. To alleviate the overload of PDCCH, we allocate radio resource of PDSCH to PDCCH. The result shows that the resource utilization of PDCCH is improved.

Advances in Cyber-Physical Systems Research

  • Wan, Jiafu;Yan, Hehua;Suo, Hui;Li, Fang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.11
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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.

Energy-aware Multi-dimensional Resource Allocation Algorithm in Cloud Data Center

  • Nie, Jiawei;Luo, Juan;Yin, Luxiu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.9
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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.

An Algorithm to Optimize Deployment Cost for Microservice Architecture (마이크로서비스 아키텍처의 배포 비용을 최적화하는 알고리즘)

  • Li, Ziang;Lee, Scott Uk-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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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.

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Physical Geographical Background of Geotourism Resources in Gumho River Basin (금호분지 내 지리관광자원의 자연지리학적 배경)

  • Son, Myoung-Won
    • Journal of the Korean association of regional geographers
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    • v.12 no.2
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    • pp.202-214
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    • 2006
  • In this paper Gumho drainage basin is divided into six geomorphic units (Bohyeon, Palgong, Biseul mountainous areas and Yeongcheon, Gyeongsan, Daegu basin), and physical geographical background and distributional characteristics of geotourism resources in each geomorphic unit are examined. Most(32 sites, 78%) of geotourism resources in Gumho basin reflect geomorphological environment, rest(7 sites, 17%) of them reflect geological environment. There are three geomorphological resources in Bohyeon mountainous areas, eight geomorphological resources in Palgong mountainous areas, and five geomorphological resources and one cultural resource in Biseul mountainous areas. There are two geomorphological resources, one geological resource, one biological resource, and two cultural resources in Yeongcheon basin. Among them one biological resource and and one cultural resource reflect local geomorphological environment. In Gyeongsan basin are there one geomorphological resource, three geological resources, and one biological resource, but one biological resource reflects local geomorphological environment. There are eight geomorphological resources, two geological resources, and three biological resources in Daegu basin. But two biological resources among them reflect local geomorphological environment.

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Integration Architecture for Virtualized Naval Shipboard Computing Systems

  • Kim, Hongjae;Oh, Sangyoon
    • Journal of Information Technology and Architecture
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    • v.10 no.1
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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.