• International Journal of Naval Architecture and Ocean Engineering
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• v.10 no.3
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• pp.235-249
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• 2018

The Artificial Neural Network (ANN) model has been known as one of the most effective theories for automatic ship berthing, as it has learning ability and mimics the actions of the human brain when performing the stages of ship berthing. However, existing ANN controllers can only bring a ship into a berth in a certain port, where the inputs of the ANN are the same as those of the teaching data. This means that those ANN controllers must be retrained when the ship arrives to a new port, which is time-consuming and costly. In this research, by using the head-up coordinate system, which includes the relative bearing and distance from the ship to the berth, a novel ANN controller is proposed to automatically control the ship into the berth in different ports without retraining the ANN structure. Numerical simulations were performed to verify the effectiveness of the proposed controller. First, teaching data were created in the original port to train the neural network; then, the controller was tested for automatic berthing in other ports, where the initial conditions of the inputs in the head-up coordinate system were similar to those of the teaching data in the original port. The results showed that the proposed controller has good performance for ship berthing in ports.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.3
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• pp.645-650
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• 2010

In this paper we present the Bimodal-tram simulator using the PXI embedded real-time controllers. The Bimodal-tram is developed in KRRI (Korea Railroad Research Institute). The vehicle can be automatically operated by navigation control system (NCS). For the automatic driving, the vehicle lanes will be marked with permanent magnets that are placed in the ground. The vehicle is controlled by NCS. NCS governs the manual mode and automatic mode driving. The simulator is designed by an identical conception with the real control condition. The dynamic motion of vehicle is simulated by the nonlinear dynamic model. The control computer calculates the control values. The signal interface is linked by CAN communication. The simulation is processed by real-time base. The test driver can see the graphic motion of vehicle and can operate the steering wheel, gas and brake pedal to control direction and velocity of vehicle during the simulation. At present, the simulator is only operated by manual mode. The automatic mode will be linked after the control algorithm is finished. We will use the simulator to develop the control algorithm in the automatic mode. This paper shows the simulator designed for Bimodal-tram using real-time based controller. The results of the test using the simulator are presented and discussed.

• Journal of Navigation and Port Research
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• v.33 no.10
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• pp.709-713
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• 2009

Water pollution of coast has a significant impact on the fish farm and fisheries. For solving the water pollution problems the fish farms are moving to the open sea. The fish farms in open sea have to operate by the automatic feeding system and remote monitoring system for safety and management. This paper describes an automatic feeding system for fish farms in open sea. Water temperature and fish weight will change depending on the amount of feed. And the fish farm temperature is changed extremely in open sea than on land side. This paper described that the feed amount is calculated automatically according to temperature, fish weight, and the automatic feed system. And the performance of automatic feed system is verified with test model for operation test.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.2
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• pp.327-334
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• 2020

In this paper, an automatic cruise system of unmanned boat was developed for surveying water depth in reservoir using accurate location information. Using global satellite navigation system(GNSS) data in real time, this unmanned system, combined with an echo sounder, can simultaneously collect location information and depth information on the reservoir. This automatic navigation system allows the automatic route generation program to automatically generate a cruise route according to the input conditions for grid sizes of 5m, 10m and 20m, and automatically controls the cruise route with high positional accuracy. The developed system was tested to verify the applicability of the selected Yonggok(Geoncheon) reservoir as a test reservoir located in Suncheon, Jeollanam-do.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1802-1803
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• 2011

The Korea Railroad Research Institute (KRRI) is developing the Bimodal-tram. The vehicle has a navigation control system (NCS) for automatic driving. The vehicle has to follow a reference path in automatic mode. NCS uses magnetic markers to calculate the vehicle position. The vehicle lane is marked with permanent magnets that are buried in the road. In this purpose, we show the characteristics and the configuration of NCS.

• Journal of Korean Port Research
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• v.14 no.1
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• pp.97-105
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• 2000

This paper presents an automatic mesh generation considering water depth, which is based on the depth interpolation. The key feature of this method is that the position of a mesh on any depth in the shallow water area can be generated. The Examples are carried out, and the results are shown to be good. This method is shown to be a useful and powerful tool for the flow calculation for the seabed topography.

• Korean Journal of Remote Sensing
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• v.21 no.6
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• pp.505-516
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• 2005

The Communications, Oceanography and Meteorology Satellite(COMS) will be launched in 2008. Ground processing for COMS includes the process of automatic image navigation. Image navigation requires landmark detection by matching COMS images against landmark chips. For automatic image navigation, a matching must be performed automatically However, if matching results contain errors, the accuracy of Image navigation deteriorates. To overcome this problem, we propose use of a robust estimation technique called Random Sample Consensus (RANSAC) to automatically detect erroneous matching. We tested GOES-9 satellite images with 30 landmark chips that were extracted from the world shoreline database. After matching, mismatch results were detected automatically by RANSAC. All mismatches were detected correctly by RANSAC with a threshold value of 2.5 pixels.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.4
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• pp.595-602
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• 2021

Marine accidents are mostly caused by medium and small ships, and are continuously increasing. In this paper, we propose an architecture of the speech synthesis based automatic safety navigation support service providing system for small ships that equiped onboard systems compared with vessels. The main purpose of the system is to prevent marine accidents by providing synthesized voice safety messages to nearby ships. The safety navigation support service is operated by connecting GPS and AIS to synthesize voice safety messages, automatically broadcast through VHF. Therefore, we developed a data processing module, a staged risk analysis module, a voice synthesis safety message generation module, and a VHF broadcasting equipment control module, which are components of the system. In addition, we conducted laboratory-level and sea-trial demonstration tests using the developed the system, which verified usefulness of the proposed service.

• Journal of Navigation and Port Research
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• v.47 no.6
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• pp.386-393
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• 2023

Recently, the demand for autonomous navigation technology has increased, and related research is also increasing. Autonomous ships generally follow the planned route, calculate the avoidance route according to the risk situation while sailing, and follow a calculated route. In general, an automatic steering device is used to follow the route, and among the operational automatic steering device methods, the route control mode is the most appropriate method to apply to autonomous ships. Therefore, in this study, we developed a route-tracking algorithm to apply an avoidance route using the navigation control mode of an automatic steering device. The algorithm was developed by dividing the straight and turning sections. A performance test was conducted to satisfy the performance suggested by IEC 62065, the relevant international standard, using simulator equipment that had acquired international certification to verify its performance. The results of the performance verification confirmed that the cross-track error, which represents the straight distance between the ship and the route, satisfied the performance standards suggested by IEC 62065 when the ship followed the route.

• Journal of KIISE:Software and Applications
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• v.28 no.4
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• pp.327-337
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• 2001

이 논문에서 제시된 2D Map-Based Navigation (MBN)은 다중 사용자 환경의 가상공간을 이동할 때, 실세계와 유사한 이동방법을 제공하여 사용자로 하여금 가상공간에 대한 현장감 및 현실감의 제고에 초점을 두었다. MBN은 사용자들이 가상공간에서 발생하기 쉬운 spatial loss를 방지하고, 이동 시 부가적인 입력이 없이도 일정한 속도로 이동을 지원하는 Automatic Constant-velocity Navigation, 이동중 장애물 및 다른 사용자(아바타)와의 충돌현상을 감지 및 회피하는 Collision Detection and Avoidance, 그리고 충돌회피 후 기존 방향으로의 계속된 이동을 지원하는 Path Adjustment 등의 기능을 제공한다. MBN은 spatial loss의 방지, 사용자의 부가적인 노력의 감소 및 병행작업의 보장, 현실과 유사한 사용자 중심의 navigation 기법의 제공, 그리고 가상공간과 현실과의 괴리를 줄임으로써 가상현실이 추구하는 현실감 및 현장감을 높일 수 있도록 하였다. 실험을 통하여 본 연구에서 제안한 MBN이 사용자 중심의 매우 자연스럽소, 쉽고 편리한 가상공간 navigation 인터페이사라는 평가를 얻었다.