• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1998.10a
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• pp.117-124
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• 1998

This paper proposes a simulation model which evaluates operation plans of container terminal. The operation plans of container terminal consist of berth plan, load plan, unload plan, yard plan, and equipment plan. It is discussed how to apply the simulation method to evaluate those plans. Simulation analysis is based on data about plans from the operation planning system through an interface program. It is discussed what we should got in the simulation, for example, the statistics about container-handling equipment such as container cranes, transfer cranes, yard tractors, and trailers used in the transportation of containers.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1998.10a
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• pp.309-313
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• 1998

Delay time of receiving and delivery is one of important factors that should be considered in the evaluation of the customer service level of a container terminal. In this study, dispatching rules are tested with the objective of minimizing the service delay time for arriving outside trucks. A dynamic programming model is suggested for a static dispatching problem in which all the truck arrivals are known in advance. In order to overcome the excessive computational time of the dynamic programming technique, several heuristic rules are suggested that can be applied in practices. A simulation study is carried out to test the performances of the heuristic rules.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1688-1692
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• 2003

The automatic Landing system is used for the automatic functions of automatic transfer crane in the automated container terminal. It confirms and adjusts the alignment and pose between spreader and container and accomplishes the automatic loading/unloading job of containers in yard. Specially, it is required in the automated container terminal and is well adapted under the coarse external environments. This system used the laser sensors to recognize the alignment between spreader and container. In this paper the algorithm of recognition of the alignment and pose is presented and the result of its simulation is shown.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.06a
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• pp.155-160
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• 2003

Today, for improvement of container terminal productivity, it is necessary to develop ACT(Automated Container Terminal) But, decision rules for conventional container terminals expose various limitations to be applied to ACT. Specially it is important fact to assignment of containers, because the character of ACT which block layout is vertical for berth. And then there is need which assignment of containers with remarshaling work using ATC(Automated Transfer Crane)s. The objective of this study is to provide the operation rules for remarshaling work in ACT. To analyze the proposed rules, the simulation is performed, and we show efficiency of remarshaling on various remarshaling operation rules.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.340-341
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• 2007

In case of Busan Port container terminals scale of a yard device chapter is small and narrow, and redundant works of device chapter facilities ability and transfer cranes are misgovernment occurring very much bemuse of this There is to the misgovernment that cannot support design ability of a container crane of quay because of this There is this in a change of marine transportation harbor environment to cross over to a large easel next of a ship, and a large problem cannot but become. Watched how redundant works were occurring in the second yards, and presented a problem Also, present the hint point tint these redundant works analyze how productivity of quay productivity and container crane is improved if solution works, and face to this.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.346-349
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• 2003

For a traveling crane, various control methods such as neural network predictive control and TDOFPID(Two Degree of Freedom Proportional Integral Derivative) are studied. So in this paper, we proposed improved navigation method to reduce transfer time and sway with anti-collision path for avoiding collision in its movement to the finial coordinate. And we constructed the NNPPID(Neural Network Predictive PID) controller to control the precise move and speedy navigation. The proposed predictive control system is composed of the neural network predictor, TDOFPID controller, and neural network self-tuner. We analyzed ASC(Automated Stacking Crane) system and showed some computer simulations to prove excellence of the proposed controller than other conventional controllers.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.1 s.94
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• pp.34-41
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• 1999

This paper presents a HGA-based(hybrid genetic algorithm) optimal control strategy to control of the swing motion and the transfer of the overhead crane. The objective is to achieve the regulation of the fast swing motion or fast position control. The controller is based on the state feedback. The HGA-based optimal algorithm is applied to find optimal gains of the controller. Computer simulation and experiments were performed to demonstrate the effectiveness of the proposed control scheme.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2000.11a
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• pp.197-205
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• 2000

Productivity of container cranes and gantry cranes is influenced by the performance of crane hardware and cycle time. Cycle time in container handling is influenced by the path of containers and relative positioning of containers. So we have to minimize the sway of containers and spreaders to minimize relative positioning time. And sway minimization is influenced by the skill of workers in manual gantry cranes. In this paper, we will survey some anti-sway systems. Each system has some merits and some shortages. And we will show our choice and its experimental equipment which is under construction.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1907-1908
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• 2006

Recently, an automatic crane control system is required with high speed and rapid transportation. Therefore, when container is transferred from the initial coordinate to the finial coordinate, the container paths should be built in terms of the least time and without sway. Therefore, we calculated the anti-collision path for avoiding collision in its movement to the finial coordinate in this paper. And we constructed the neural network predictive two degree of freedom PID controller to control the precise navigation. The proposed predictive control system is composed of the neural network predictor, two degree of freedom PID controller, neural network self-tuner which yields parameters of two degree of freedom PID. We analyzed crane system through simulation, and proved excellency of control performance over the conventional controllers.

• Journal of the Korea Society for Simulation
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• v.14 no.3
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• pp.109-118
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• 2005

The purpose of this paper is to analyze transport ability of AGV(Automated Guided Vehicle) and SHC(SHuttle Carrier). The main difference between two types of transport vehicles is that AGV depends on container crane or transfer crane to do loading/unloading container, but SHC is very independent to it. Therefore, the transport ability of SHC is expected to be higher than AGV. So, in this paper, we established simulation model to evaluate two types of transport vehicles and analyzed the results. Simulation model was established to automated container terminal with perpendicular yard layout, and applied closed loop operation of transport vehicle between apron and stacking yard. In the result, SHC showed very superior than AGV aspect of container crane productivity and vehicle fleets.