• Journal of Navigation and Port Research
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• v.41 no.2
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• pp.39-46
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• 2017

This study represents a fundamental research for a passenger-ship escape guidance system that is a ship-borne agent, and it is for the support of escape decision-making by providing accurate maritime safety information in real time. We conducted a passenger escaping experiment on a training ship, SAEYUDAL, using the situation-aware escape guidance system, which has been developed for on-board application based on products for buildings. It is shown that the system contributes to the shortening of the escape duration and the dispersion of the escaping persons by generating and guiding the safe escape routes which dangerous areas are considered. From the experiment on ship's heeling condition, it is revealed that the heeling angle is linearly related to the escape duration. Therefore, this study shows that the shortening of the escape duration enables a safe and rapid mustering that is the most important process under emergency and appropriate incident responses to minimize loss of lives.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.249-254
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• 2001

Abstract In this paper, we propose a method of cooperative control based on artifical intelligent system in distributed autonomous robotic system. In general, multi-agent behavior algorithm is simple and effective for small number of robots. And multi-robot behavior control is a simple reactive navigation strategy by combining repulsion from obstacles with attraction to a goal. However when the number of robot goes on increasing, this becomes difficult to be realized because multi-robot behavior algorithm provide on multiple constraints and goals in mobile robot navigation problems. As the solution of above problem, we propose an architecture of fuzzy system for each multi-robot speed control and fuzzy-neural network for obstacle avoidance. Here, we propose an architecture of fuzzy system for each multi-robot speed control and fuzzy-neural network for their direction to avoid obstacle. Our focus is on system of cooperative autonomous robots in environment with obstacle. For simulation, we divide experiment into two method. One method is motor schema-based formation control in previous and the other method is proposed by this paper. Simulation results are given in an obstacle environment and in an dynamic environment.

• Knowledge Management Research
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• v.15 no.3
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• pp.209-228
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• 2014

The explosive growth of social commerce engenders a new business model, that is, infomediary. In a social commerce environment, infomediary works as a personal agent who provides information about various web merchants to help consumers select appropriate merchants for their needs. The purpose of this study is to identify the factors influencing consumer attitudes towards infomediaries in social commerce and examine the relationship between intention to provide word of mouth and consumer attitudes. In total, 170 responses were collected from social commerce infomediary users. The results show that competence and integrity significantly influence user attitudes as trust dimensions. Infomediary reputation and two functional factors (information variety and navigation functionality) turn out to be significant antecedents for user attitudes toward infomediary in social commerce. User attitudes in turn significantly influence the intention to provide word of mouth. Future research and practical implications are also discussed.

• International Journal of Control, Automation, and Systems
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• v.1 no.2
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• pp.229-235
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• 2003

We designed a family of completely autonomous mobile robots with local intelligence. Each robot has a number of on-board sensors, including vision, and does not rely on global positioning systems The on-board embedded controller is sufficient to analyze several low-resolution color images per second. This enables our robots to perform several complex tasks such as navigation, map generation, or providing intelligent group behavior. Not being limited to playing the game of soccer and being completely autonomous, we are also looking at a number of other interesting scenarios. The robots can communicate with each other, e.g. for exchanging positions, information about objects or just the local states they are currently in (e.g. sharing their current objectives with other robots in the group). We are particularly interested in the differences between a behavior-based approach versus a traditional control algorithm at this still very low level of action.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.58-60
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• 2001

본 논문에서는 온톨로지를 이용하여 웹 문서의 분류와 사용자의 정보 요구에 대한 개인화 된 정보를 제공하는 에이전트를 제안한다. 에이전트는 웹 문서들이 가지는 의미 구조를 표현한 개념 계층 즉, 온톨로지를 바탕으로 웹 문서를 분류하게 되며 온톨로지를 이용하여 사용자의 정보 요구를 정확히 파악하고 사용자의 브라우징을 돕게 된다. 온톨로지는 개념에 대한 특징 개념간의 관계 그리고 문서 분류를 위한 제약조건으로 이루어진다. 사용자의 현 위치에서의 선행 탐색을 통하여 문서를 획득하게 되며 구축된 온톨로지를 이용하여 분류한다. 에이전트는 분류된 문서에 대한 사용자의 관심분야를 파악하여 프로파일을 유지하게 되며 최종 문서의 추천은 프로파일을 바탕으로 이루어지게 된다.

• International Journal of Control, Automation, and Systems
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• v.6 no.2
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• pp.253-262
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• 2008

This paper presents a framework for decentralized control of self-organizing swarm systems based on the artificial potential functions (APFs). The framework explores the benefits by associating agents based on position information to realize complex swarming behaviors. A key development is the introduction of a set of association rules by APFs that effectively deal with a host of swarming issues such as flexible and agile formation. In this scheme, multiple agents in a swarm self-organize to flock and achieve formation control through attractive and repulsive forces among themselves using APFs. In particular, this paper presents an association rule for swarming that requires less movement for each agent and compact formation among agents. Extensive simulations are presented to illustrate the viability of the proposed framework.

• JSTS:Journal of Semiconductor Technology and Science
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• v.5 no.4
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• pp.243-248
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• 2005

The UAV (Unmanned Aerial Vehicle) systems like unmanned autonomous helicopters are used in various missions of flight navigation and used to collect the environmental information of the surroundings. To realize the full functionalities of the UAV, the software part becomes a challenging problem. In this paper embedded real-time software architecture for unmanned autonomous helicopter is proposed that guarantee real-time performance of hard-real time tasks and re-configurability of soft-real time and non-real time tasks. The proposed software architecture has four layers: hardware, execution, service agent and remote user interface layer according to the reactiveness level for external events. In addition, the layered separation of concurrent tasks makes different kinds of mission reconfiguration possible in the system. An Unmanned autonomous helicopter system was implemented (Kyosho RC Helicopter) in our lab to test and evaluate the performance of the proposed system.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.455-462
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• 2001

The World Wide Web has become one of the major services provided through Internet. When searching the vast web space, users use bookmarking facilities to record the sites of interests encountered during the course of navigation. One of the typical problems arising from bookmarking is that the list of bookmarks lose coherent organization when the the becomes too lengthy, thus ceasing to function as a practical finding aid. In order to maintain the bookmark file in an efficient, organized manner, the user has to classify all the bookmarks newly added to the file, and update the folders. This paper introduces our learning agent called BClassifier that automatically classifies bookmarks by analyzing the contents of the corresponding web documents. The chief source for the training examples are the bookmarks already classified into several bookmark folders according to their subject by the user. Additionally, the web pages found under top categories of Yahoo site are collected and included in the training examples for diversifying the subject categories to be represented, and the training examples for these categories as well. Our agent employs naive Bayesian learning method that is a well-tested, probability-based categorizing technique. In this paper, the outcome of some experimentation is also outlined and evaluated. A comparison of naive Bayesian learning method alongside other learning methods such as k-Nearest Neighbor and TFIDF is also presented.

• Journal of Navigation and Port Research
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• v.38 no.3
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• pp.239-246
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• 2014

A study on the elution characteristics of biostimulating agents (sulfate and nitrate) from biostimulants which are used for in-situ bioremediation for the coastal sediment contaminated with organic matter was performed. The biostimulating agents were mixed with the coastal sediment, and then massed the mixture into ball. Two kinds of ball type biostimulant were prepared by coating the ball surface with two different polymers, cellulose acetate and polysulfone. A granular type biostimulant (GTB) was also prepared by impregnating a granular activated carbon in the biostimulating agent solution. The image of scanning electron microscopy for the biostimulant coated with cellulose acetate (CAB) showed that the inner side of the coating layer consisted of irregular and bigger size of pores, and the surface layer had tight structure like beehive. For the biostimulant coated with polyfulfone (PSB), the whole coating layer had a fine structure without pore. The elution rate of the biostimulating agents for the CAB was higher than that for the PSB, and the elution rate for the GTB was considerably higher than that for the PSB in distilled water as well as in sea water. The elution rate of the biostimulating agents in turbulent water flow was about 3 times higher than that in standing water, and the elution rate of nitrate was higher than that of sulfate from the stimulating agents.

• Journal of the Korean Institute of Navigation
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• v.14 no.3
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• pp.63-73
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• 1990

Students of the Mogpo Merchant Marine College must complete one year's shipboard training course according to IMO(International Maritime Organization) regulations as an obtaining matter of Certificate of Competency. The purpose of this shipboard training course lies int he student's acquiring practical knowledge and sill as a part of a course of study and, in the future, fostering essential adaptability and leadership, especially in bad circumstances on the sea. The shipboard training course has two kind that the students can be trained either on the training ship or on a merchant ship of the shipping company. In this paper, I only thought over the legal status of apprentice officers on the merchant ship and analyzed the problems practicably during shipboard training. This paper is made up of five chapters. The first chapter contains the purpose contents and method of this study, in the second, the meaning of shipboard practice education and training, in the third, the legal status of apprentice officers on merchant ship, in the fourth, the analysis of the provisions of the seamen act applied to apprentice officers on a merchant ship. And in the last chapter 5, the contents mentioned is summarized and directions are presented to amend the provisions of the seamen act applied to apprentice officers. The conclusions are as follows. 1.In case of shipboard training on overseas employment ship, the seamen act applied to the manning agent employing the apprentice officers should be reinforced. 2. The provisions of disembarkation in mid course by discipline of the seamen acts Article 24 should be relaxed. And the provisions in relations to seamen's duty to be a reason of discipline applied to apprentice officer among the provisions for ship's public order maintenance should be abolished. 3. The provision of repartriation completely should be applied to apprentice officers and the provisions of a journey expenditure during their embarkation or disembarkation have to be established. 4. The apprentice officers in shipboard training also need securing a basic wages provision to be criterion of an accident compensation. 5. The apprentice officers in shipboard training should not be in charge of third officer's or third engineer' study.