• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.202-210
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• 2019

The obstacles modeling is a fundamental and significant issue for path planning and automatic navigation of Unmanned Surface Vehicle (USV). In this study, we propose a novel obstacles modeling method based on high resolution satellite images. It involves two main steps: extraction of obstacle features and construction of convex hulls. To extract the obstacle features, a series of operations such as sea-land segmentation, obstacles details enhancement, and morphological transformations are applied. Furthermore, an efficient algorithm is proposed to mask the obstacles into convex hulls, which mainly includes the cluster analysis of obstacles area and the determination rules of edge points. Experimental results demonstrate that the models achieved by the proposed method and the manual have high similarity. As an application, the model is used to find the optimal path for USV. The study shows that the obstacles modeling method is feasible, and it can be applied to USV path planning.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.1
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• pp.19-29
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• 2021

In the Port Logistics system, Container Stowage planning is an important issue for cost-effective efficiency improvements. At present, Planners are mainly carrying out Stowage planning by manual or semi-automatically. However, as the trend of super-large container ships continues, it is difficult to calculate an efficient Stowage plan with manpower. With the recent rapid development of artificial intelligence-related technologies, many studies have been conducted to apply enhanced learning to optimization problems. Accordingly, in this paper, we intend to develop and present a Deep Q-Learning Network model for the Master Stowage planning of Container ships.

• Journal of Korean Society of Forest Science
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• v.77 no.4
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• pp.389-400
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• 1988

The recent trend in multiple-use land management planning is using Model I and Model II formulations designed for timber activity scheduling problems. Numerous models hate been developed, with MUSYC(Johnson and Jones, 1979) being the first to incorporate both model structures. Currently the most popular computer program using both Model I and Model II is FORPLAN(Johnson and others, 1986). A Model I formulation requires fewer rows and provides more direct information on what happens to an acre from rotation to rotation. In some problems, Model II provides a much more compact problem matrix with much fewer columns and only a moderate increase in row number. In this paper we examined and evaluated their usefulness in comprehensive multiresource forest management planning.

• Spatial Information Research
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• v.10 no.1
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• pp.77-92
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• 2002

In order to prevent indiscreet urban growth and harmonize urban development with environmental preservation, it is strongly required in Korea that urban planning should be reasonable and transparent. From this societal demand, the urban planning system was changed to be strengthened for the establishment of harmonious land-use order in urban space. However, implementation of the urban planning system demands a lot of information to analyze and estimate the present condition and problems of urban area. For this purpose, the information should quickly be collected, managed and analyzed. The urgent demand of information in urban planning field is able to be fulfilled with recent GIS and its relevant information technique, which can quickly, accurately and conveniently collect various spatial and statistical information, systematically analyze and manage them, and visually present the result of spatial analysis. This study suggested a urban planning information system and its basic implementing scheme to support the urban planning system with GIS and presented a development model of the urban planning information system using the recent GIS and its relevant information technique.

• Journal of the Korea Society for Simulation
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• v.15 no.2
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• pp.1-12
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• 2006

As the needs of intelligent systems increase, there have been diverse approaches that combine artificial intelligence (AI) and simulation in the last decade. RG-DEVS, which is the basis for this paper, embedded AI planning techniques into the simulation modeling methodology of DEVS, in order to specify dynamically a simulation model. However, a hierarchy concept, which is used for various types of problem solving systems. is not included in the planning of RG-DEVS. The hierarchy concept reduces the computational cost of planning by reducing the search space, and also makes it easy to apply the hierarchical process flow of a target system to planning. This paper proposes Hierarchical RG-DEVS (HRG-DEVS) in an attempt to insert hierarchical planning capability into RG-DEVS. For the verification of the proposed modeling methodology, HRG-DEVS is applied to model the block's world problem of ABSTRIPS, which is a classical planning problem.

• IE interfaces
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• v.3 no.1
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• pp.21-29
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• 1990

This paper presents a linear programming formulation of the aggregate production planning problem for an optical instrument manufacturing company. Taking into account of the various requirements of the company, an L.P model is developed whose objective is to minimize the total cost of production during the planning horizon. The application results and its implications are well understood by the management and expected to be used as a guide line for future production planning.

• Journal of the military operations research society of Korea
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• v.17 no.1
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• pp.130-145
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• 1991

The literature has recorded many models dealing with manpower forecasting and planning. The approaches used by the various authors are clearly disparate. This paper presents a taxonomy for manpower planning and forecasting methodologies and classifies the landmark developments in this field. The taxonomical schema is then applied to unify the models in consideration of the methods and the decision factors used for forecasting and/or planning. The taxonomy allows for the most complex model structure containing all the factors considered germane in the existing literature.

• Journal of Korean Society of Forest Science
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• v.78 no.1
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• pp.1-10
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• 1989

The Forest Planning Model(FORPLAN) is a conceptually complex model which has been designated as the "primary analysis tool for forest planning" for all American National Forests. This paper defines eight FORPLAN components and shows the three model design frameworks that can be represented in FORPLAN version 1 and version 2.

• KIEAE Journal
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• v.6 no.1
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• pp.47-55
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• 2006

In spite of the government policies and incentives to revitalize rural areas, we still have a lot of problems such as the environmental degradation in rural areas, widening gap in living conditions between urban and rural areas, and decreasing rural populations. This paper aims to suggest a new planning model for ecotourism based rural villages and develop a village revitalization plan for Jangwha-ri in Gangwha Island. The new model emphasizes sustainable development based on local indigenous resources and resident initiatives.

• Proceedings of the Korea Association of Information Systems Conference
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• 2001.12a
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• pp.14-30
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• 2001

At present, EDI system is indispensable process in Port and e-logis industry. Using EDI system service has been variably applicable Client/Server system base on 2-Tier, Web EDI and skill oriented distribution object. Up to date, EDI System has been Closed. Moreover it raised several points on User. For settling the problem, A study make progress with Web EDI system, XML/EDl system, distribution object technology based on 3-Tier. This Study produce several EDI system and Service. With a Result of study as the central figure, All kinds of System and Service make a comparative study synthetically in port and e-logis industry. As a result of Study, this paper make an Model Construction Planning for estimating the Port EDI System.