• Journal of The Korea Institute of Healthcare Architecture
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• v.19 no.3
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• pp.29-39
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• 2013

Purpose: As emergency medical service fund is further expanded due to amendment of the law on emergency medical services in 2008, Korean government has prepared to intervene in a comprehensive manner to strengthen a trauma treatment system. As a result, it announced a master plan to establish a serious trauma treatment center in 16 areas across the nation. Therefore, this study has attempted to investigate the current status of the serious trauma treatment centers and suggest the goal and improvement plan of future serious trauma treatment centers. Methods: As of 2011, Korea operates 23 emergency cerebrovascular service centers, 23 emergency heart disease centers and 35 severe trauma treatment centers across the country. 12 emergency medical service centers have been chosen among the serious trauma treatment centers. Then, top six (6) centers chosen at Emergency Medical Institute Assessment 2011 by Ministry of Health and Welfare have been selected, and floor layout and spatial allocation by usage have been reviewed and analyzed. Results: Consequently, this study has investigated the spatial components, circulation layout and spatial allocation of a serious trauma treatment. For construction planning in consideration of the fundamental objectives and goal of emergency medical services, it is essential to allot spaces and select exact spatial components. It appears that it is necessary to design spaces for emergency medical services and come up with construction planning through appropriate spatial allocation.

• Journal of Korean Society of Forest Science
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• v.101 no.1
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• pp.96-103
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• 2012

In this study, we used HARVEST, a timber management strategy assessment tool, to evaluate alternative forest planning strategies on spatial pattern of cutting blocks. We applied the tool to the Gwangreung Experimental Forest (GEF) as a case study. The harvest schedules developed for GEF using a linear programming model was used to assess spatial patterns of cutting blocks under different management constraints. The results show that the allowable maximum harvest size largely affects the number, size, and distribution of cutting blocks. We also found that spatial dispersion methods and adjacency constraints could be used as an effective means to control spatial allocation of cutting blocks in order to meet certain forest ecosystem management goals.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.170-174
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• 2003

In this research, we consider an integrated manufacturing/distribution planning problem in supply chain (SC) which has non-integer time lags. We focus on a capacitated manufacturing planning and capacity allocation problem for the system. We develop a mixed binary integer linear programming (MBLP) model and propose an efficient heuristic procedure using an adaptive genetic algorithm, which is composed of a regeneration procedure for evaluating infeasible chromosomes and the reduced costs from the LP-relaxation of the original model. The proposed an adaptive genetic algorithm was tested in terms of the solution accuracy and algorithm speed during numerical experiments. We found that our algorithm can generate the optimal solution within a reasonable computational time.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.1
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• pp.9-17
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• 1992

Proper resource allocation is also a very important topic in power system problems, especially in operation and planning. One such is optimal maintenance problem in operation and planning. Least cost and highest reliability should be the subjects to be pursued. A probabilistic operation simulation model developed recently by authors is applied to the proboem of optimal maintenance scheduling. Three different methods are compared, marginal maintenance cost, levelized risk and maintenance space. The method by the marginal maintenance costs shows the least cost, the highest reliability and the highest maintenance outage rates. This latter characteristics may considerably influence the results of genetation planning, because the usual maintenance outages obtained from the other methods have shown to be lower.

• Journal of Hospice and Palliative Care
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• v.24 no.3
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• pp.144-153
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• 2021

Purpose: Advance care planning (ACP) is widely understood to improve end-of-life care. This systematic review and meta-analysis aimed to examine the effects of ACP interventions on decision conflict and psychological distress. Methods: A search of PubMed, CINAHL, CENTRAL, EMBASE, KISS, KoreaMed, and RISS was conducted in November 2020. The study included randomized controlled trials. Data were pooled using fixed- and random-effects models. Results: Fourteen studies were identified that cumulatively included 1,548 participants. ACP interventions were effective in alleviating decision conflict (d=-0.53; 95% CI: -0.83 to -0.23), depression (d=-1.22; 95% CI: -1.71 to -0.74) and anxiety (d=-0.76; 95% CI: -1.12 to -0.39). Conclusion: ACP interventions have significant positive effects on reducing decision conflict and psychological distress. A high level of bias was shown related to allocation concealment and blinding. The results of this study are expected to be useful for end-of-life care providers to improve the effectiveness of ACP interventions.

• Journal of Korean Port Research
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• v.11 no.1
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• pp.65-73
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• 1997

The objective of this paper is to suggest a decision support system allowing automatic loading and discharging planning for tanker ships, and provide a working prototype. Particular attention is placed on developing a feasible system for improving the speed and accuracy of cargo planning by combining practice and theoretical solution methods. The system is consisted of a simulation model for tank allocation and an expert system for working sequence. Several program tests are undertaken with randomly generated input data. The results suggest that the system is quite meaningful even though there are still some problems to be solved. The paper concludes with a discussion of issues for future development of the decision support system.

• Asian Journal of Innovation and Policy
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• v.9 no.2
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• pp.223-239
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• 2020

It is important for urban planners and policy makers to understand complex, diverse urban demands and social structure, but this is not easy due to lack of data that represents the dynamics of residents at micro-geographical level. This paper explores how to create population data at at a micro-level by allocating population data to building. It attempted to allocate population data stored in a grid layer (100 meters by 100 meters) into a building footprint layer that represents the appearance of physical buildings. For the allocation, this paper describes a systemic approach that classifies grid cells into five prototypical patterns based on the composition of residential building types in a grid cell. This approach enhances allocation accuracy by accommodating heterogeneity of urban space rather than relying on the assumption of uniform spatial homogeneity of populations within an aerial unit. Unlike the methods that disaggregate population data to the parcel, this approach is more applicable to Asian cities where large multifamily residential parcels are common. However, it should be noted that this paper does not demonstrate the validity of the allocated population since there is a lack of the actual data available to be compared with the current estimated population. In the case of water and electricity, the data is already attached to an individual address, and hence, it can be considered to the purpose of the validation for the allocation. By doing so, it will be possible to identify innovative methods that create a population distribution dataset representing the comprehensive and dynamic nature of the population at the micro geographical level.

• Journal of Information Processing Systems
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• v.2 no.2
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• pp.88-94
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• 2006

In wireless cellular networks, previous researches on admission control policies and resource allocation algorithm considered the QoS (Quality of Service) in terms of CDP (Call Dropping Probability) and CBP (Call Blocking Probability). However, since the QoS was considered only within a predetermined cell capacity, the results indicated a serious overload problem of systems not guaranteeing both CDP and CBP constraints, especially in the hotspot cell. That is why a close interrelationship between CDP, CBP and cell capacity exists. Thus, it is indispensable to consider optimal cell capacity guaranteeing multiple QoS (CDP and CBP) at the time of initial cell planning for networks deployment. In this paper, we will suggest a distributed determination scheme of optimal cell capacity guaranteeing both CDP and CBP from a long-term perspective for initial cell planning. The cell-provisioning scheme is performed by using both the two-dimensional continuous-time Markov chain and an iterative method called the Gauss-Seidel method. Finally, numerical and simulation results will demonstrate that our scheme successfully determines an optimal cell capacity guaranteeing both CDP and CBP constraints for initial cell planning.

• Journal of Korean Society of Rural Planning
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• v.1 no.1
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• pp.75-88
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• 1995

The purpose of this study is to present the direction for scheme cultural rural village. For this purpose, to begin with, the major elements which can be applied to the theory were extracted by the study on the scheme of rural village, and the process and the outcome for renovation of rural village were presented by design proposal for the rural village in the exhibition space of yoonghari in Chungwon-kun, Chungchengpukdo. The study on the scheme of rural village is focused on the spatial organization, the futilities allocation, and the major contents of the case study are as follow : (1) To investigate the constrains and the opportunities of site development by the analysis and the synthesis of the site condition for the case study, (2) To study on the planning theory which can be applied to the site, (3) To establish the planning directions which can be introduced into the site and to choose the rmn model by the comparison and valuation of them, (4) To set up the Master Plan on the basis of the final model In spite of the fact that the method and the contents have a lot of problems, the significance of this study is to present a possibility to renovate the rural village these days, moreover to grope for the opportunities to propagate it.

• International Journal of Naval Architecture and Ocean Engineering
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• v.6 no.1
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• pp.162-174
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• 2014

Most shipbuilding scheduling research so far has focused on the load level on the dock plan. This is because the dock is the least extendable resource in shipyards, and its overloading is difficult to resolve. However, once dock scheduling is completed, making a plan that makes the best use of the rest of the resources in the shipyard to minimize any additional cost is also important. Block assignment planning is one of the midterm planning tasks; it assigns a block to the facility (factory/shop or surface plate) that will actually manufacture the block according to the block characteristics and current situation of the facility. It is one of the most heavily loaded midterm planning tasks and is carried out manually by experienced workers. In this study, a method of representing the block assignment rules using a diagram was suggested through analysis of the existing manual process. A block allocation program was developed which automated the block assignment process according to the rules represented by the diagram. The planning scenario was validated through a case study that compared the manual assignment and two automated block assignment results.