• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 추계학술대회
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• pp.305-308
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• 2014

AIS(Automatic Identification System)은 선박과 육상뿐만 아니라 선박 상호간의 안전항해 관련 정보를 송수신하기 위한 무선항행설비로서 SOLAS 협약에 의해 도입되어 널리 사용되고 있으며, 특히 선박의 관제업무에 많이 이용되고 있다. AIS 동적정보는 선박의 항해상태와 속도에 따라 2초 내지 3분 간격으로 전송되고 있다. 그러나 AIS 통신량이 증가하면서 데이터링크 부하 증가와 슬롯충돌로 인하여 AIS 데이터가 수신되지 못하는 경우가 많이 발생하고 있다. 본 논문에서는 AIS 데이터링크 부하를 경감하기 위한 방안으로 AIS 동적정보 전송주기에 대한 변경 방안을 제시하였다.

• 융합정보논문지
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• 제7권5호
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• pp.169-175
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• 2017

회계정보시스템은 회계자료를 취합 처리하여 의사결정자에게 가치 있는 정보를 제공한다. 그러나 최근의 급속한 환경변화에 있어 지속경영으로서의 회계정보시스템은 성과를 최적화하기 위한 조직의 필요성에 적합되어야 한다. 동적 회계정보시스템의 역량은 회계처리와 조직의 성과를 향상시킬 것으로 기대한다. 동적역량틀(Dynamic capabilities framework:DCF)을 이용함으로서 동적인 회계정보시스템의 역량은 세 가지 관점에서 시너지효과를 발휘할 수 있는 것으로 기대한다. 1) 유연한 회계정보시스템, 2) 보완적인 비즈니스 지능시스템 및 3) 정보기술 자산을 통한 회계 전문화의 세 가지 영역의 시너지효과를 발휘할 수 있을 것이다. 본 연구를 통하여 동적 회계정보시스템 역량, 회계처리 성과 및 기업성과의 상관성을 검증하고자 한다. 연구결과, 동적 회계정보시스템 자원을 개발함으로써 조직의 가치를 더할 수 있는 것으로 나타났다. 본 연구는 회계정보시스템 환경의 성과산출에 지렛대 역할을 할 수 있는 가이드를 제공할 수 있다.

• 수산해양기술연구
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• 제44권3호
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• pp.218-228
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• 2008

This paper describes on the real-time tracking of ship's dynamic behavior by AIS information in the coastal waters. The AIS data was received at a land station by using the antenna of AIS receiver mounted on the rooftop of the laboratory, Pukyong National University (PKNU), Busan, Korea, and stored as a NMEA format of serial output sentence of VDM(VHF Data-Link Message) and displayed on the ENC(Electronic Navigational Chart) of a PC-based ECDIS. In this study, the AIS receiver was mainly used to obtain the dynamic information that is necessary to evaluate and track the movement situation of training ship "KAYA" of PKNU in the coastal waters. The change of position with time for the ship turning under the rudder angle of port $30^{\circ}$ was correctly tracked with the turning circle of 940 m in diameter on the ENC of a PC-based ECDIS. Then, the dynamic information of the AIS system was updated every 6.29 seconds under the turning situation for the speed of 10.9 knots and every 21.65 seconds under the situation running at the speed of 11.05 knots on the straight line route of $155^{\circ}$, respectively. In case of AIS target tracking in the inshore zone behind large topographical obstructions, such as mountain and apartment buildings, the update rate of dynamic information was irregularly changed by the existence of land obstacles. However, the position tracking by AIS information under the situation existing no sea obstructions was achieved in real or near real-time and the instant presentation of course alternations for the ship was correctly monitored by using a PC-based ECDIS. From these results, we concluded that the PC-based ECDIS technology and methodology combined with the AIS information can be easily extended and applied to the surveillance and management for the fishing operation of fishing vessels in the coastal zone and in the EEZ fishing grounds.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2014년도 추계학술대회
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• pp.114-116
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• 2014

The interpolation of the missing AIS dynamic data can be used for predicting the lost data of the ship's state which is able to product the valuable information for analyzing and investigating the maritime accidents. The previous research proposed some interpolating methods however there exists some problem, firstly, the interpolated parameters such as COG, SOG, HDG weren't described sufficiently and accurately as in AIS message, secondly, each method is only suitable to some kinds of given AIS data, finally at heavy wind and current area, the parameters of AIS dynamic change quickly in short time, therefore, the modelling of the variation of ship's dynamic based on the physical characteristic is very difficult, in these cases the time-series and numerical method are usually better. This research proposes the other method through numerical analysis which can be suitable for many different kinds of the lost data, parameters are interpolated sufficiently, beside that this model is appropriate to all variation in short time interval. All the given AIS dynamic are regarded as the functions to time, then curves are established for fitting all data. Experiments are carried out to evaluate the performance of this approach, the interpolation results show this approach can be applied well in practice.

• 수산해양교육연구
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• 제28권6호
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• pp.1812-1821
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• 2016

The purpose of this study is to survey input data error of ship automatic identification system (AIS) and suggest its improvement. The effects of AIS were observed. Input data error of AIS was investigated by dividing it into dynamic data, static data by targeting actual ships and its improvement method was suggested. The findings are as follows. Looking into accidents before and after AIS is enforced to install on the ship, total collision were decreased after AIS installed. Static data error of AIS took place mainly in the case that ship name, call sign, MMSI, IMO number, ship type, location of antenna (ship length and width) were wrongly input or those data were not input initially. Dynamic data error of AIS was represented by input error of ship's heading. As errors of voyage related data take place as well, confusion is made in sailing or ship condition. Counter measures against the above are as follows. First, reliability of AIS data information should be improved. Second, incessant concern and management should be made on the navigation officers.

• 한국항해항만학회지
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• 제34권5호
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• pp.343-348
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• 2010

해상 교통량이 증가함에 따라 높아지는 선박 사고위험을 줄이기 위해 안전 운항을 위한 시스템은 필수적이다. 국제해사기구의 SOLAS에서는 선박에 AIS(Automatic Identification System)의 탑재를 의무화 하였다. AIS는 육상과 타 선박에 신원, 종류, 위치, 항해 상태를 포함한 각종 항해정보와 선박상태를 자동으로 알리는 시스템이다. 안전운항을 위한 응용서비스 개발의 대부분의 경우에 AIS는 활용될 수 있으므로, 체계적인 정보의 관리가 필요하다. 본 논문에서는 수신된 메시지 정보를 관리하기 위해 데이터베이스를 도입하였다. AIS메시지를 정적정보와 동적정보로 나누어 저장하고, 전자해도 기반 AIS 정보를 디스플레이하는 시스템 구현을 통해 설계의 결과를 확인했다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.127-129
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• 2014

AIS를 이용한 선박간의 자동위치인식이 적용되고 있으나 여전히 많은 선박사고로 인해 인명 및 재산 손실 뿐만 아니라 환경오염까지 초래하는 문제가 발생하고 있다. 이에 본 논문에서는 선박사고 중 높은 사고율을 차지하는 선박간의 충돌사고를 줄이고자 AIS에서 제공하는 static 정보, dynamic 정보를 이용하여 선박 충돌 회피 알고리즘과 시뮬레이션 시스템 설계를 제시한다.

• 수산해양기술연구
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• 제50권1호
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• pp.21-29
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• 2014

The dynamic information of radar and automatic identification system (AIS) for targets obtained from the traffic vessels operating in the north outer harbor and surrounding waters of Busan port, Korea. The target information was analyzed to investigate the potential collision risk resulting from the invalid true heading (HDT) information of AIS and the integration ambiguity in the graphic presentation of both tracked data sets for two systems. An integrated display system (IDS) for supporting the navigator of offshore fishing vessels was also developed to find possible maneuvering solutions for collision avoidance by comparing radar data with AIS data in real-time at sea. Consequently, the multiple functions of IDS can provide additional information that is potentially valuable for taking action to avoid the collision in offshore fishing vessels. However, the integration criteria of radar and AIS targets in the IDS must be carefully established to eliminate the fusion ambiguity in the graphic presentation of both AIS and radar symbols such as the one or two physical targets which are very close to each other.

• 대한원격탐사학회지
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• 제38권4호
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• pp.435-446
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• 2022

Identifying ship types is an important process to prevent illegal activities on territorial waters and assess marine traffic of Vessel Traffic Services Officer (VTSO). However, the Terrestrial Automatic Identification System (T-AIS) collected at the ground station has over 50% of vessels that do not contain the ship type information. Therefore, this study proposes a method of identifying ship types through the Random Forest Classifier (RFC) from dynamic and static data of AIS and V-Pass for one year and the Ulsan waters. With the hypothesis that six features, the speed, course, length, breadth, time, and location, enable to estimate of the ship type, four classification models were generated depending on length or breadth information since 81.9% of ships fully contain the two information. The accuracy were average 96.4% and 77.4% in the presence and absence of size information. The result shows that the proposed method is adaptable to identifying ship types.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권4호
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• pp.285-289
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• 2012

In a coastal area, all of the vessels are always exposed to the potential risk, taking into the maritime accident statistics account over the last decades. To manage vessels underway safety, the characteristics of ship movements in a fairway should be recognized by VTS system or VTS operators. The IMO has already mandated the shipboard carriage of AIS since 2004, as stated in SOLAS Chapter V Regulation 19. As a result, the static and dynamic information of AIS data has been collected for vessel traffic management in the coastal areas and used for VTS. This research proposes a simple algorithm of recognizing potentially risky ships by observing their trajectories on the fairway. The static and dynamic information of AIS data are collected and the curvature for the ship trajectory is surveyed. The proposed algorithm finds out the irregularity of ship movement. The algorithm effectively monitors the change of navigation pattern from the curvature analysis of ship trajectory. Our method improves VTS functions in an intelligent way by analyzing the navigation pattern of vessels underway.