• Journal of Electrical Engineering and Technology
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• v.12 no.2
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• pp.937-943
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• 2017

To design an automatic steering controller with high performance for autonomous vehicle, it is necessary to have a precise model of the lateral dynamics with respect to the steering command input. This paper presents an empirical modeling of the steering system for an autonomous vehicle. The steering system here is represented by three individual transfer function models: a steering wheel actuator model from the steering command input to the steering angle of the shaft, a dynamic model between the steering angle and the yaw rate of the vehicle, and a dynamic model between the steering command and the lateral deviation of vehicle. These models are identified using frequency response data. Experiments were performed using a real vehicle. It is shown that the resulting identified models have been well fitted to the experimental data.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.5
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• pp.538-544
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• 1999

One of the most important requirements for the development of computerized relay setting system is its openness to abbommodate the various changes like new panel additions. This paper describes the relay settein-coordination system(PROSET2000), which has an open system architecture and adopts the dbject oriented programming paradigm. Its main features include the intelligent fault type identification, automatic running of the short circuit analysis, ren-time rulebase modification, automatic documentation, ect.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.6
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• pp.43-51
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• 2017

Since Korea joined the ranks of the developed countries, the interests in people with disabilities are rising. In particular, as disabled people become more active, to improve the transportation vulnerable's the right of movement have been required more strongly. Thus each municipality has been various efforts to do this. In this study we provide a understanding of each local government authority status which associated with operation of special transport systems, a call-taxi for transportation vulnerable and investigate the implementation status of mobility support system for traffic vulnerable which provided with automatic vehicle delivery. Also, with identification of automatic vehicle delivery problems the system, we design and implement a best-effort automatic vehicle delivery algorithm to improve these problems. Algorithm proposed in this study actually applied to commercial system of local governments to resolve the existing problems and to check to operate normally. The results are expected to provide to more exact and faster automatic vehicle delivery to transportation vulnerable and to improve the convenience of transportation vulnerable's movement.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.305-308
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• 2014

AIS(Automatic Identification System) is a radionavigation equipment for exchanging safety related information between ships as well as ship and shore station, introduced by SOLAS convention and widely used especially in vessel traffic service. The dynamic data of AIS is transmitted at intervals of 2 second to 3 minutes depending on ship's navigational status and speed. However, so often times it happens that some AIS data can not be received due to increasing AIS traffic and it's time slot confliction. In this paper, a revised reporting intervals of AIS dynamic data is proposed in order to decrease AIS data link load.

• Journal of Navigation and Port Research
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• v.42 no.6
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• pp.486-490
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• 2018

Radar Beacons are marine aids that helps the navigators avoid dangers such as dangerous rocks, heavy fog, nighttime, etc. when sailing. The existing antenna was researching on the development of the advanced radar Beacon (Enhanced Radar Beacon) for the improvement of the next generation racon with the AIS (Automatic Identification System) function.

• Ocean Systems Engineering
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• v.12 no.3
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• pp.267-284
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• 2022

A subsea pipeline designed across active shipping lane prones to failure against external interferences such as anchorage activities, hence risk assessment is essential. It requires quantifying the geometric probability derived from ship traffic distribution based on Automatic Identification System (AIS) data. The actual probability density function from historical vessel traffic data is ideal, as for rapid assessment, conceptual study, when the AIS data is scarce or when the local vessels traffic are not utilised with AIS. Recommended practices suggest the probability distribution is assumed as a single peak Gaussian. This study compares several fitted Gaussian distributions and Monte Carlo simulation based on actual ship traffic data in main ship direction in an active shipping lane across a subsea pipeline. The results shows that a Gaussian distribution with five peaks is required to represent the ship traffic data, providing an error of 0.23%, while a single peak Gaussian distribution and the Monte Carlo simulation with one hundred million realisation provide an error of 1.32% and 0.79% respectively. Thus, it can be concluded that the multi-peak Gaussian distribution can represent the actual ship traffic distribution in the main direction, but it is less representative for ship traffic distribution in other direction. The geometric probability is utilised in a quantitative risk assessment (QRA) for subsea pipeline against vessel anchor dropping and dragging and vessel sinking.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.150-154
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• 2022

The Automatic Ship Identification System(AIS) is importantly used to evaluate the trajectory of ships and the possibility of collision between ships. However, it is difficult to provide real-time information due to the limitation of the transmission intervals. Most of the studies to improve this are conducted based on ideal data, so there is a problem that it is hard to respond to the actual situation. Therefore, in this paper, we propose a discrete Kalman filter-based method that reflects the turning angle according to the type of trajectory, to provide real-time position information on real-time data. In addition, the accuracy evaluation of the proposed algorithm is conducted through experiments using actual data.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.32-32
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• 2018

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.637-640
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• 1986

The design and use of a micro-computer-based system for quantitative study of ocular kinetics are described. An algorithm for microcomputer analysis of electro-oculographically recorded saccadic eye movement is presented. From a brief, 4-min recording session detailed statistical information about saccade amplitude, duration, and velocity can be obtained. Since this data is not significantly altered by practice of motivational factors, it provides a sensitive functional test of the oculomotor system and its brain control system.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.55 no.4
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• pp.294-302
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• 2019

As a series of fundamental researches on the development of an automatic identification monitoring system for fishing gear. Firstly, the study on the installation method of automated identification buoy for the coastal improvement net fishing net with many loss problems on the west coast was carried out. Secondly, the study was conducted find out how to install an automatic identification buoy for coastal gill net which has the highest loss rate among the fisheries. GPS for fishing was used six times in the coastal waters around Seogwipo city in Jeju Island to determine the developmental status and underwater behavior to conduct a field survey. Next, a questionnaire was administered in parallel on the type of loss and the quantity and location of fishing gear to be developed and the water transmitter. In the field experiment, the data collection was possible from a minimum of 13 hours, ten minutes to a maximum of 20 hours and ten minutes using GPS, identifying the development status and underwater behavior of the coastal gillnet fishing gear. The result of the survey showed that the loss of coastal net fishing gear was in the following order: net (27.3%), full fishing gear (24.2%), buoys, and anchors (18.2%). The causes were active algae (50.0%), fish catches (33.3%) and natural disasters (12.5%). To solve this problem, the installation method is to attach one and two electronic buoys to top of each end of the fishing gear, and one underwater transmitter at both ends of the float line connected to the anchor. By identifying and managing abnormal conditions such as damage or loss of fishing gear due to external factors such as potent algae and cutting of fishing gear, loss of fishing gear can be reduced. If the lost fishing gear is found, it will be efficiently collected.