• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.355-356
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• 2022

The pilot GOBT program was carried out from November 17th - December 17th 2021 at KIMFT; self-isolation for 10 days, Basic Safety Training(BST) for 5 days and 2 weeks of on-board training(OBT) were conducted during the period. Total 20 cadets from 5 different Countries were participated under the financial support of IMO ITCP and Korean ODA program. The program aims to provide capacity-building courses focusing on on-board training and assisting future maritime officers in meeting the minimum standard of seagoing experience in accordance with the STCW Convention. In the meantime, the program itself can serve as a platform to share best practices of how the training including the curriculum can be organized on specialized training vessels. The questionnaire survey was carried out to evaluate the GOBT program, and the overall average score was 96.4 points which seems that the cadets were very satisfied with the Global On-Board Training program provided by KIMFT in 2021.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.7
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• pp.607-612
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• 2002

An automatic design method of behaviors in behavior-based robotics is proposed. With this method, a robot can design its behaviors by itself without aids of human designer. Automating design procedure of behaviors can make the human designer free from somewhat tedious endeavor that requires to predict all possible situations in which the robot will work and to design a suitable behavior for each situation. A simple reinforcement learning strategy is the main frame of this method and the key parameter of the learning process is significant change of reward value. A successful application to mobile robot navigation is reported too.

• Journal of Advanced Marine Engineering and Technology
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• v.30 no.6
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• pp.760-769
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• 2006

This paper proposes an autopilot system using a fuzzy PID controller to satisfy performances required for the automatic navigation of ships under various marine circumstances. The existing autopilot system using a PD type controller has difficulties in eliminating a steady-state error and compensating nonlinear characteristics of ships. The autopilot system using the proposed fuzzy PID controller has a self-tuning ability, an ability to compensate nonlinear characteristics, and an ability to turn at constant angular velocity. Therefore. it can naturally make a steady-state error zero, compensate nonlinear dynamic effect of ships, have an adaptability to parameter variation owing to shallow water effect, and have an ability to turn ship's course rapidly without overshoot through procedures of acceleration, constant, and deceleration of angular velocity for large course-changing.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.1077-1081
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• 1990

Autonomous action, which corresponds actively to the change of conditions in complicated circumstances, is a fundamental function required to an intelligent robot. To develope a control system for a robot having the ability to adapt itself to complicated circumstances, it is necessary to establish self-tracing technology, which recognizes the corresponding position between peripheral objects and itself. So we need to manipulate the moving system with flexibility. It is effective for solving problem that fuzzy theory is adapted to algorithm on a complicated circumstances. We develope a method to generate a route-map which has not only a course from the present position to the destination but also useful information on surroundings.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1435-1439
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• 2004

Most recently, CP(Cellular Phone) has been one of the most important technologies in the IT(Information Tech-nology) field, and it is situated in a position of great importance industrially and economically. To produce the best CP in the world, a new technological concept and its advanced implementation technique is required, due to the extreme level of competition in the world market. The RT(Robot Technology) has been developed as the next generation of a future technology. Current robots require advanced technology, such as soft computing, human-friendly interface, interaction technique, speech recognition, object recognition etc. unlike the industrial robots of the past. Therefore, this paper explains conceptual research for development of the RCP(Robotic Cellular Phone), a new technological concept, in which a synergy effect is generated by the merging of IT & RT. RCP infra consists of $RCP^{Mobility}$ $RCP^{Interaction}$, $RCP^{Integration}$ technologies. For $RCP^{Mobility}$, human-friendly motion automation and personal service with walking and arming ability are developed. $RCP^{Interaction}$ ability is achieved by modeling an emotion-generating engine and $RCP^{Integration}$ that recognizes environmental and self conditions is developed. By joining intelligent algorithms and CP communication network with the three base modules, a RCP system is constructed. Especially, the RCP mobility system is focused in this paper. $RCP^{Mobility}$ is to apply a mobility technology, which is popular robot technology, to CP and combine human-friendly motion and navigation function to CP. It develops a new technological application system of auto-charging and real-world entertainment function etc. This technology can make a CP companion pet robot. It is an automation of human-friendly motions such as opening and closing of CPs, rotation of antenna, manipulation and wheel-walking. It's target is the implementation of wheel and manipulator functions that can give service to humans with human-friendly motion. So, this paper presents the definition, the basic theory and experiment results of the RCP mobility system. We confirm a good performance of the RCP mobility system through the experiment results.

• Journal of Advanced Navigation Technology
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• v.27 no.1
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• pp.36-42
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• 2023

The development of autonomous vehicles are currently being actively carried out by various companies and research institutes. Expectations for commercialization in daily life as well as specific industries are also rising. Simulators for autonomous vehicles are an essential element in algorithm development and execution considering stability and cost. In this need, various simulators and platforms for simulators are emerging, but research on simulations that reflect various meteorological environmental factors in the real world is still insufficient. This paper proposes a traffic simulation for autonomous vehicles that can consider the weather environment. The weather environment that can be set is largely classified into four categories, and an improved collision prevention algorithm to apply them is presented. Simulation development was conducted through Carla's Python API, a development tool for autonomous driving, and the performance results were compared with existing collision algorithms. Through this, we tried to propose improvements for the development of advanced self-driving vehicle simulations that can reflect various weather environmental factors in real life.

• Journal of Navigation and Port Research
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• v.40 no.5
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• pp.299-304
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• 2016

The importance of clear and effective communication at sea has been greatly emphasized due to the increase in multiculturalism on board both ocean-going and coastal vessels, and the necessity of systematic English training based on 'Knowledge, Understanding, and Proficiency' specified in STCW has also been recognized. With these growing needs in mind, the International Maritime Organization (IMO) updated the Maritime English (ME) Model Course 3.17 in 2015 by providing guidelines on language education within two separate categories, General Maritime English (GME) and Specialized Maritime English (SME). The IMO is now attempting to create a new, global framework of ME education and training, and this this new course model must first be thoroughly understood in order to explore the ways to apply the modified version into the context of current ME education in Korea and to design an updated language curriculum. Therefore, the general structural features of the new model course will be explained in this paper, and the course focus set by IMO and to be considered and/or adopted by the Republic of Korea will be closely examined. Finally, suggestions will be made on how to implement this revised model course in practice with the following focus: the development of localized curriculum for GME and SME; the provision of practical teaching guidance through relevant online and offline materials for class and self-study; and the establishment of qualification guidelines and a teaching support system for language teachers in maritime and language education.

• Journal of Advanced Navigation Technology
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• v.11 no.1
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• pp.118-126
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• 2007

An ad hoc network is a system of wireless mobile nodes that dynamically self-organize in arbitrary and temporary network topologies allowing people and devices to internetwork without any preexisting communication infrastructure. Although ad hoc network is attractive solution, there are still some major flaws that prevent commercial growth. Security is one of these main barriers; ad hoc networks are known to be particularly vulnerable to security attack. It is difficult to establish a centralized key distribution center and a trusted certification authority to provide cryptographic keys and digital certificates to nodes. To prevent attacks in ad hoc routing protocols, many algorithms have been used. In this paper, we have depicted a secure framework for multipath routing in wireless multihop network, which is comprehensive solution for secure data forwarding in wireless multihop networks. With the simulation results, the proposed scheme is compared with existing source routing scheme.

• Journal of Advanced Navigation Technology
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• v.15 no.4
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• pp.602-608
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• 2011

In this paper, we implemented an android mobile management application of intelligent prevention of disaster system which can manage the current status monitoring and whether operating or not by using Ubiquitous Sensor Network based self wireless communication system of scattered emergency light, fire extinguishers and sprinkler inside the high complex building. This system is composed with fire facilities attached sensor nodes, management server for collection of information and control, and smart phone application that transmits and receives information with management server. As a result of the test, the embodied android-based smart phone application to be performed anywhere could confirm status and monitoring information of fire facilities which are communicated with the management server.

• Journal of Advanced Navigation Technology
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• v.13 no.6
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• pp.901-906
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• 2009

This paper proposes a call admission control(CAC) method for wireless networks, which is based on the upper bound of a possibility distribution of handoff calls dropping rates. The possibility distribution is estimated in a fuzzy inference and a learning algorithm in neural network. The learning algorithm is considered for tuning the membership functions(then parts)of fuzzy rules for the inference. The fuzzy inference method is based on a weighted average of fuzzy sets. The proposed method can avoid estimating excessively large handoff calls dropping rates, and makes possibile self-compensation in real time for the case where the estimated values are smaller than real values. So this method makes secure CAC, thereby guaranteeing the allowed CDR. From simulation studies we show that the estimation performance for the upper bound of call dropping rate is good, and then handoff call dropping rates in CAC are able to be sustained below user's desired value.