• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.12
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• pp.2636-2641
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• 2010

To support anti-collision between ship to ship and sea-search and sea-rescue work, ship automatic identification system(AIS) that can both send and receive messages between ship and VTS Traffic control have been adopted. And port control system can control traffic vessel service which is co-operated with AIS. For more efficient traffic vessel service, ship recognition and display system is required to cooperated with AIS. In this paper, we propose ship detection system which is co-operated with AIS by using background estimation based on image processing for on the sea or harbor image extracted from camera. We experiment with on the sea or harbor image extracted from real-time input image from camera. By computer simulation and real world test, the proposed system show more effective to ship monitoring.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.50-53
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• 2022

Recently, there have been cases in which counterfeit foreign ships have entered and left domestic ports several times. Vessels have a ship-specific serial number given by the International Maritime Organization (IMO) to identify the vessel, and IMO marking is mandatory on all ships built since 2004. In the case of airports and ports, which are representative logistics platforms, a security system is essential, but it is difficult to establish a security system at a port and there are many blind spots, which can cause security problems due to insufficient security systems. In this paper, a port security system is designed using deep learning object recognition and OpenCV. The security system process extracts the IMO number of the ship after recognizing the object when entering the ship, determines whether it is the same ship through feature point matching for ships with entry records, and stores the ship image and IMO number in the entry/exit DB for the first arrival vessel. Through the system of this paper, port security can be strengthened by improving the efficiency and system of port logistics by increasing the efficiency of port management personnel and reducing incidental costs caused by unauthorized entry.

• Journal of Navigation and Port Research
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• v.33 no.8
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• pp.531-537
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• 2009

As the Port State Control Inspection recognized that almost marine casualties are caused by human faults rather than vessel's defaults, it has put more emphasis on the qualification of ships' crew and the education required. Accordingly, for shipping companies it is an urgent task to operate effective crew education system that can meet the standards of international agreements and domestic laws. Therefore, this study aims at deriving the attitude of crews of 'S' shipping company on the education and some implication for the effective crew education systems. For this questionnaire survey has been carried out and the data analysed by the respondent groups.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.180-181
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• 2010

An estimation algorithm of collision risk among multiple ships has been developed in order to reduce human error and prevent collision accidents. The algorithm is designed to calculate the collision risk among ships based on Fuzzy theory by using AIS data as traffic information. In this paper, to validate the algorithm, the AIS data of actual collision accident, which occurred between a product carrier and a cargo carrier in Busan harbor in 2009 are collected. The replay simulation is carried out on the actual AIS data and the collision risk is calculated in real time. In this paper, the features of the estimation algorithm of collision risk and the results of replay simulation based on AIS data of actual collision accident are discussed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.447-463
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• 2022

Artificial Intelligence (AI) technology is a major technology that develops smart ships into autonomous ships in the marine industry. Autonomous ships recognize a situation with the information collected without human judgment which allow them to operate on their own. Existing ship systems, like control systems on land, are not designed for security against cyberattacks. As a result, there are infringements on numerous data collected inside and outside the ship and potential cyber threats to AI technology to be applied to the ship. For the safety of autonomous ships, it is necessary to focus not only on the cybersecurity of the ship system, but also on the cybersecurity of AI technology. In this paper, we analyzed potential cyber threats that could arise in AI technologies to be applied to existing ship systems and autonomous ships, and derived categories that require security risks and the security of autonomous ships. Based on the derived results, it presents future directions for cybersecurity research on autonomous ships and contributes to improving cybersecurity.

• Journal of the Korean Society of Marine Environment & Safety
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• v.10 no.2 s.21
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• pp.23-27
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• 2004

The current paper is to review the need to considering cultural and educational aspects rather than technical approaches for the maritime safety. General and rather simple views on culture and education are provided as well as the state-of-the-art of the methodologies on ship safety assessment. Conclusions such as the national role and contributions to the international bodies and the third worlds are drawn in addition to the importance of cultural and educational factors to enhance the safety of ships.

• Journal of the Korean Society for Marine Environment & Energy
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• v.5 no.3
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• pp.28-34
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• 2002

As the technology of Speech Recognition(SR) and Text-To-Speech(TTS) develops rapidly, voice control and guidance system is thought to be very helpful for safe navigation. But Voice Control and Guidance System(VCGS) is not yet so popularly included in Navigation Supporting System(NSS). The main reason of this is that VCGS is so complicated and user-unfriendly that navigation officers hesitate to use VCGS. Frequent errors in operating VCGS due to low rate of SR are another reason. To make VCGS more practicable for safe navigation, we design the user-friendly VCGS. Firstly, by using interviews we survey functions and procedures that navigation officers want to be included in VCGS. Secondly, to raise the rate of SR, we tun the environmental noise in bridge and to reduce the errors due to low rate of SR in operating VCGS, we design the functions of self-correction. Also we apply a user-independent SR engine so that procedures of teaming of speakers is basically not necessary. Using simulator experiments the functions and procedures of the user-friendly YCGS for safe navigation are evaluated and the results of evaluation are fed back to the design. As a result, we can design the VCGS more helpful for safe navigation. In this paper, we describe the features of the user-friendly VCGS for safe navigation and discuss the results of simulator experiments.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.491-492
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• 2004

선박의 수중방사소음은 다양한 기계류나 추진기 흑은 선체와 유체간의 상호 작용으로 인하여 여러 형태의 특성신호로 나타나며, 속력 종속적인 추진계통 신호 성분과 비종속적인 보기류 신호 성분이 혼재되어 다수의 신호성분으로 나타난다. 또한 토널 신호의 세기와 바다의 음향 전달 특성 등으로 인하여 신호가 미약하게 되거나 끊어져서 불연속하게 나타나기도 한다. 본 연구에서는 이러한 점을 해결하기 위해 선박의 Tonal성 신호를 자동으로 탐지하고 분류하기 위해 스펙트로그램 상에서 연속되는 신호에 가중치를 주어 지속성 신호여부를 판별한 후에 정해진 임계치를 초과하는 성분을 Tonal로 선정하였으며, 선정된 Tonal 신호의 발생 기원이 속력 종속/비종속적인지를 자동으로 판별하는 알고리즘을 실제 선박 방사소음에 대해 적용한 결과에 대해 보고한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.59-61
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• 2016

안전한 선박운항과 해양사고 예방을 위해서는 선박소유자를 비롯한 해운회사 경영진의 안전의식 내재화와 안전을 최우선으로 생각하는 인식의 변화가 요구된다. 그러나 해양사고 예방을 위한 교육은 주로 선박운항 종사자를 대상으로 시행되고 있고 안전의 최고 의사결정자인 선사의 경영진을 대상으로 한 교육 프로그램은 부족한 상황이다. 이에 해양수산부에서는 2015년부터 선사 CEO 해양안전리더 교육을 실시하고 있다. 이 교육의 대상은 해운선사의 경영진이며 안전에 대한 이론, 실무, 타 회사의 안전경영 사례 등을 공유하여 교육수료자가 해양안전 리더로서 선도적으로 안전경영을 해나가도록 유도하고 안전문화를 정착시키는데 목적을 두고 있다. 따라사 교육 프로그램의 내용과 교육대상자의 교육만족도는 향후 교육 프로그램의 개선, 발전을 위해 중요한 사항이라 할 수 있다. 본 연구에서는 해양안전리더 교육 프로그램의 만족도를 조사하여 분석함으로써 교육과정 개선 등에 활용될 수 있을 것으로 기대된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.599-607
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• 2006

The ship radiated noise appear the various characteristic signals due to the mechanic system in the ship, the propeller and the interaction between ship body and sea water. Generally, it is classified two main components: the speed dependent signal and the speed independent signal. It is required that very complex procedure to classify the signal origin from the ship-radiated noise. This paper presents techniques to automatically detect and classify the tonal signals ken the ship-radiated noise, using the Q factor and the neural network.