• Journal of Navigation and Port Research
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• v.44 no.6
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• pp.501-508
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• 2020

His paper looks more closely at the Republic of Korea's (ROK) Navy submarine berth-allocation strategies, with the study's results ultimately resulting in the proposition of an integer programming model. Current submarine berth-allocation planning problems include the need for more minimal berth-shifting and general support service failures, as a lack of efficient submarine berth-allocation often leads to submarines unable to receive the support service they need due to the inadequacy of their assigned berths. Currently, the ROK Navy allocates berths by only taking available reserve resources and the full-capacity limits of support services into account. This paper expands upon this strategy, and proposes a model which would allow for submarine berth allocation planning to also take submarine support service scheduling into account, allowing for more efficient and timely submarine servicing. This proposed model in turn minimizes berth shifting, support service failures, and allows for full coordination with the submarine support service request schedule. The construction of this model was carried out through data gathered on the ROK Navy's fleets and forces, allowing for a more nuanced analysis of existing issues with submarine berth-allocation planning.

• Korean Journal of Agricultural and Forest Meteorology
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• v.8 no.1
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• pp.15-21
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• 2006

This study was conducted to understand the regulation mechanism of carbohydrate allocation and partitioning of one-year-old seedlings of Betula schmidtii with Cd treatment, and to assess tolerance against Cd toxicity among five half-sib families on the basis of carbon allocation and partitioning. Seedlings were treated with $CdSO_4$ solution of 0, 0.2, 0.4, and 0.6 mM for two months. After harvesting, carbohydrate concentrations were analyzed for leaves, stems and roots of seedlings. Carbohydrate concentration for Cd-treated seedlings decreased in comparison with control plants, even though Cd effects were significantly different among five families. Meanwhile, Cd treatment decreased carbohydrate allocation in leaves and increased allocation in roots. In addition, partitioning of glucose in leaves was increased by Cd treatment, but partitioning of sucrose and starch in leaves decreased. In Cd-treated roots, partitioning of glucose, sucrose and starch increased. On the basis of carbohydrate allocation patterns, 'Family No. 7' (of the five families studied) was considered as the most sensitive family to Cd toxicity because the decrease of carbohydrate concentration and the change of carbohydrate allocation pattern after Cd treatment were relatively greater.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.5
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• pp.1567-1587
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• 2014

Virtual Machine (VM) resource management is crucial to satisfy the Quality of Service (QoS) demands of various multimedia services in a media cloud platform. To this end, this paper presents a VM resource allocation model that dynamically and optimally utilizes VM resources to satisfy QoS requirements of media-rich cloud services or applications. It additionally maintains high system utilization by avoiding the over-provisioning of VM resources to services or applications. The objective is to 1) minimize the number of physical machines for cost reduction and energy saving; 2) control the processing delay of media services to improve response time; and 3) achieve load balancing or overall utilization of physical resources. The proposed VM allocation is mapped into the multidimensional bin-packing problem, which is NP-complete. To solve this problem, we have designed a Mixed Integer Linear Programming (MILP) model, as well as heuristics for quantitatively optimizing the VM allocation. The simulation results show that our scheme outperforms the existing VM allocation schemes in a media cloud environment, in terms of cost reduction, response time reduction and QoS guarantee.

• Journal of Preventive Medicine and Public Health
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• v.54 no.5
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• pp.360-369
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• 2021

Objectives: The purpose of this study was to investigate public preferences regarding allocation principles for scarce medical resources in the coronavirus disease 2019 (COVID-19) pandemic, particularly in comparison with the recommendations of ethicists. Methods: An online survey was conducted with a nationally representative sample of 1509 adults residing in Korea, from November 2 to 5, 2020. The degree of agreement with resource allocation principles in the context of the medical resource constraints precipitated by the COVID-19 pandemic was examined. The results were then compared with ethicists' recommendations. We also examined whether the perceived severity of COVID-19 explained differences in individual preferences, and by doing so, whether perceived severity helps explain discrepancies between public preferences and ethicists' recommendations. Results: Overall, the public of Korea agreed strongly with the principles of "save the most lives," "Koreans first," and "sickest first," but less with "random selection," in contrast to the recommendations of ethicists. "Save the most lives" was given the highest priority by both the public and ethicists. Higher perceived severity of the pandemic was associated with a greater likelihood of agreeing with allocation principles based on utilitarianism, as well as those promoting and rewarding social usefulness, in line with the opinions of expert ethicists. Conclusions: The general public of Korea preferred rationing scarce medical resources in the COVID-19 pandemic predominantly based on utilitarianism, identity and prioritarianism, rather than egalitarianism. Further research is needed to explore the reasons for discrepancies between public preferences and ethicists' recommendations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.71-74
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• 2000

Due to the complexity of parts flow and limited resources, FMS(Flexible Manufacturing System) develops blocking, starvation and deadlock problems, which reduce its performance. In order to minimize such problems buffers are imposed between workstations of the manufacturing lines. In this paper, we are concerned with finding the optimal buffer allocation with regard to maximizing system throughput in limited total buffer capacity situation of FMS. A grouping heuristic to solve the buffer allocation problem is proposed. Computer simulation using Arena will be experimented to show the validation of the proposed algotithm.

• Journal of the Korean Operations Research and Management Science Society
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• v.6 no.1
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• pp.75-82
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• 1981

This paper considers urban emergency service systems that dispatch vehicles (facilities) from fixed bases with the objective of finding an optimum allocation of emergency facilities. A case study of fire station problem of Seoul city is conducted to analyze the deployment of fire-fighting resources and develop a class of improved deployment strategies with Parameteric Allocation Model (P.A.M.). The study shows a long term plan leading to balanced fire protection for most fire hazardous districts as well as low alarm districts.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.127-130
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• 1998

Wireless multimedia networks require channel allocation strategies for various multimedia traffic since the mobility of users needs to be considered in addition to diversity of QoS requirements of multimedia traffic. In this paper, we propose an Efficient Channel Allocation strategy, based on prioritization of handoff calls used in Guard channel method. Gurad channels can be shared between non real time calls and real time handoff calls. To decrease the probability of handoff failure, when resources become scarce, the Call Admission Control can take some resources away from the active calls. It is shown through extensive simulations that the proposed strategy provides higher channel utilization and lower probability of handoff failure than existing strategies.

• Journal of Information Processing Systems
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• v.5 no.2
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• pp.87-96
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• 2009

Grid computing is a new technology which involves efforts to create a huge source of processing power by connecting computational resources throughout the world. The key issue of such environments is their resource allocation and the appropriate job scheduling strategy. Several approaches to scheduling in these environments have been proposed to date. Market driven scheduling as a decentralized solution for such complicated environments has introduced new challenges. In this paper the bidding problem with regard to resources in the reverse auction resource allocation model has been investigated and the new bidding strategies have been proposed and investigated.

• Journal of Communications and Networks
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• v.14 no.5
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• pp.487-494
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• 2012

A standard paradigm for the allocation of wireless resources in communication demands symmetry, that is, all users are assumed to be on equal footing and hence get equal shares of the system's communication capabilities. However, there are situations in which "prime users" should be given priority, as for example in the transmission of emergency messages. We examine prioritization policies that could be implemented at the physical layer and propose a new one, termed interference priority (IP), which is shown to have excellent performance. We evaluate the performance of these prioritization techniques both in controlled settings and within the context of a full cellular system and discuss the impact of prioritized use of resources on the unprioritized users.

• Proceedings of the KIEE Conference
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• 2003.11a
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• pp.444-446
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• 2003

This paper deals with an allocation strategy for the resources of direct load control program, which is considered the operating states in power systems. The existing approaches, load shedding priority algorithm, curtailment payback based algorithm and mixed curtailment algorithm, are based on the uniform allocation strategy. These approaches are not taken into account the operating states in power systems. So, under the critical operating condition, direct load control resource is evaluated by introducing the congestion factor.