• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.36-44
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• 2006

Based on water resources availability and development condition of the Lancang River, as well as considering the international river water resources characters, the paper put forwarded an integrated allocation way of the water resources of Lancang River Basin. According to the basic rules of equitable and suitable utilization of water resources of international rivers, water resources demand for domestic, industrial, irrigation and ecosystem system, and principles of society stabilities and the food safety etc, an index system of Lancang River water resources allocation was set up. Two levels scheme of Lancang River water allocation are proposed. First level is for an international water, which primarily to analysis the water quantity at the national boundary. Second level is for provincial water allocation among Qinghai, Yunnan provinces and Tibetan Autonomous Region. In the allocation schemes, the water resources development of Lancang River Basin at different scenarios and the related water allocation in different years and seasons were analyzed. A discharge to some cross sections of the river and a total amount water quantity for each district has been given as well.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.184-184
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• 2017

A nation-wide water-energy-food (WEF) nexus simulation model has been developed by the authors and successfully applied to South Korea to predict the sustainability of those three resources in the next 30 years. The model was also capable of simulating future scenarios of resources allocation based on priority rules aiming to maximize resources sustainability. However, the process was still relying on several assumptions and trial-and-error approach, which sometimes resulted in non-optimal solutions of resources allocation. In this study, an optimization module was introduced to enhance the model in generating optimal resources management rules. The objective of the optimization was to maximize the reliability index of resources by determining the resources' allocation and/or priority rules for each demand type that accordingly reflect the resources management policies. Implementation of the optimization module would result in balanced allocation and management of limited resources and assist the stakeholders in deciding resources' management plans, either by fulfilling the domestic production or by global trading.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2815-2839
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• 2020

In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex problem due to the presence of heterogeneous application (MapReduce, content delivery and networks web applications) workloads having contentious allocation requirements in terms of ICT resource capacities (resource utilization, execution time, response time, etc.). This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. However, there is no published research available in this domain that clearly address this research problem and provides research taxonomy for classification of resource allocation techniques including strategic, target resources, optimization, scheduling and power. Hence, the main aim of this paper is to identify open challenges faced by the cloud service provider related to allocation of resource such as servers, storage and networks in cloud computing. More than 70 articles, between year 2007 and 2020, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and are reviewed under clearly defined objectives. Lastly, the evolution of research in resource allocation techniques has also been discussed along with salient future directions in this area.

• Journal of the military operations research society of Korea
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• v.17 no.2
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• pp.54-71
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• 1991

It is very important to increase defence capability rapidly against any surprise attack. This can be done by fast deployment of mobilization reserved resources. This paper is forcused on optimal allocation of special reserved resources. First of all, the location of special reserved resources is identified and then the location of combat and mobilization units and amount of requirement resources of each unit are identified. Finally, optimal allocation of the special reserved resources is obtained by Out of Kilter method.

• Journal of the Korean Home Economics Association
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• v.40 no.6
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• pp.99-115
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• 2002

The purpose of this study is to investigate the allocation criteria types in transferring economic resources to adult children from the adult-childhood of children to parent's death based on theoretical backgrounds. The research results can be summarized as follows: 1) The mean of allocation criterion of exchange was the highest, the next was the criterion of compensation, and the criterion related birth factors was the lowest. 2) Allocation criteria dimensions of economic resources transfers composed of compensation, exchange, and birth factors were classified into 4 types: $\circled1$ the type that parents transfer to compensate economic status of children, $\circled2$ the type that parents transfer more resources to children who take more care of their parents, $\circled3$ the type that parents transfer more resources to primogeniture or sons, $\circled4$ the mixed type that uses the exchange criterion, the compensation criterion, and the criterion related birth factors. 3) The variables which have significance on the types of allocation criteria were age, the number of children, and marital status. The results of the study suggests the implications of income redistribution policy, financial resource management and saving products development, and the law to motivate care of parents.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.48 no.3
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• pp.135-138
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• 2003

Appropriate allocation of personal and financial resources of a research organization is important for the successful accomplishment of its goals. Direct-seeding of rice is a technology compatible with sustainable agriculturer and much research on the technology has been carried out in the research institutes of Rural Development Adminstration (RDA). We analyzed, with a special interest in research on rice direct-seeding technology, patterns of resource allocation in RDA by technology to evaluate congruency levels in research resource allocation. Research on direct-seeding technology had been focused on its fundamental field in the past. However, research to solve the practical difficulties encountered by farmers such as those in seedling establishment weed control, and water management practices, has been increased in recent years. Research resource allocation had largely been made to the projects for variety and seeding-technology development in the early years, however, allocation to the projects for the fertilization, weed control, and water management fields has been increased in recent years. Allocation of resources to the projects in soil management and seedling establishment categories was decreased, indicating that difficulties encountered by farmers in these fields were mostly solved. High congruency between economic outcome of research and allocation of resources by technology categories indicates a rational allocation of resources for research on direct-seeding of vice in RDA.

• Journal of Wetlands Research
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• v.10 no.2
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• pp.155-164
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• 2008

As popultations expand and economies develop, increasing competition for limited available water resources is occurring among many water users. This has brought greater attention to water allocation with legal and institutional constraints. This paper develops a optimal water allocation methodology to basinwide water resources allocation, which ensures that scare water resources are allocated among competing water users. The methodology need to be based on optimization technique to allocate water resources due to an extended scaled of river basin. The recommended model is developed to accomplish economic efficiency, equity and sustainability objectives. The appropriate case study is tested with various existing water right system allocation model and the recommended model. The result shows the applicability of model to the complex hydrologic system with legal and institutional constraints.

• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.245-252
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• 2004

This paper presents a method for choosing quality characteristics to consider safety by integrating QFD based on quality requirements and AHP based on safety requirements, also shows resources allocation method to maximize customer satisfaction by ranking the index of technical importance to cost.

• Journal of Information Processing Systems
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• v.17 no.4
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• pp.721-736
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• 2021

For the mobile edge computing (MEC) system supporting dense network, a joint allocation algorithm of computing and communication resources based on reinforcement learning is proposed. The energy consumption of task execution is defined as the maximum energy consumption of each user's task execution in the system. Considering the constraints of task unloading, power allocation, transmission rate and calculation resource allocation, the problem of joint task unloading and resource allocation is modeled as a problem of maximum task execution energy consumption minimization. As a mixed integer nonlinear programming problem, it is difficult to be directly solve by traditional optimization methods. This paper uses reinforcement learning algorithm to solve this problem. Then, the Markov decision-making process and the theoretical basis of reinforcement learning are introduced to provide a theoretical basis for the algorithm simulation experiment. Based on the algorithm of reinforcement learning and joint allocation of communication resources, the joint optimization of data task unloading and power control strategy is carried out for each terminal device, and the local computing model and task unloading model are built. The simulation results show that the total task computation cost of the proposed algorithm is 5%-10% less than that of the two comparison algorithms under the same task input. At the same time, the total task computation cost of the proposed algorithm is more than 5% less than that of the two new comparison algorithms.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.198-198
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• 2016

The Citarum River Basin is the biggest river basin in West Java Province, Indonesia and it plays strategic roles in providing water for irrigation, domestic and industrial uses, and power generation, besides controlling the flood during rainy season. Flowing through seven major cities makes the river flow and water demand are vulnerable to land use change around the river. The present water resources management has involved the regulator, operator, and users in deciding an appropriate water management plan for the entire basin. The plan includes an operation plan for three reservoirs, construction or maintenance of the river channel, and water allocation for all users along the river. Following this plan, a smaller operation group will execute and evaluates the plan based on the actual flow condition. Recently, a deforestation, environment degradation, river sedimentation, a rapid growth of population and industry, also public health become new issues that should be considered in water basin planning. Facing these arising issues, a new development program named ICWRMIP was established to advance the existing management system. This program includes actions to strengthen institutional collaboration, do the restoration and conservation of the river environment, improve water quality and public health, also advance the water allocation system. At present, the water allocation plan is created annually based on a forecasted flow data and water usage prediction report. Sometimes this method causes a difficulty for the operator when the actual flow condition is not the same as the prediction. Improving existing system, a lot of water allocation studies, including a development of the database and water allocation simulation model have been placed to help stakeholders decide the suitable planning schemes. In the future, this study also tries to contribute in advancing water allocation planning by creating an optimization model which ease stakeholders discover a suitable water allocation plan for individual users.