• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.91-92
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• 2022

해상 ICT의 발전과 e-Navigation 및 자율운항선 도입에 따라 해상 통신망의 종류와 범위가 확장되어 가상항로표지 서비스의 필요성이 증대되고 있으며, 이러한 서비스 제공을 위해 국가 정책적으로 스마트 항로표지 개발에 관한 연구가 추진되고 있다. 본 논문에서는 e-Navigation 및 자율운항선 도입에 대비하여 디지털 항로표지 정보의 체계적이고 지속적인 제공을 위한 통합가상항로표지 정보서비스 시스템 상세 설계 방안에 대하여 기술하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.50-51
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• 2021

해상 ICT의 발전과 e-Navigation 및 자율운항선 도입에 따라 해상 통신망의 종류와 범위가 확장되어 가상항로표지 서비스의 필요성이 증대되고 있으며, 이런 서비스 제공을 위해 국가 정책적으로 스마트 항로표지 개발에 관한 연구가 추진되고 있다. 본 논문에서는 e-Navigation 및 자율운항선 도입에 대비하여 디지털 항로표지 정보의 체계적이고 지속적인 제공을 위한 통합 가상항로표지 관리운영 서비스를 설계하여 기술하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.292-294
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• 2023

본 연구는 가상 항로표지 정보 서비스의 구현과 그 시스템 통합 방안에 대하여 기술한다. 제안하는 가상 항로표지 정보 서비스는 웹 표준을 준수하여 반응형 웹(Responsive Web) 기반 정보 서비스로 구현되었다. 따라서 사용자가 웹 브라우저 환경에 상관없이 가상·합성항로표지를 통합적으로 관리 및 운영하는 것이 가능하다. 향후 해양 디지털 항로표지 정보협력시스템과 연계 및 통합하기 위해, 백엔드 구성 등 시스템 통합 방안을 제시하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.377-379
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• 2022

선교 상황 인식 시스템을 개발하기 위한 합성곱 신경망 기반의 인공지능카메라를 개발한다. 부이 등의 항로표지를 포함한 컨테이너선, 유조선, 자동차 운반선 등 선박 종류 구분이 가능하도록 YOLO5를 이용하여 학습을 수행하고 그 결과를 보인다.

• Journal of Navigation and Port Research
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• v.34 no.5
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• pp.337-342
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• 2010

As AIS AtoN has worked an essential role for aids to navigation, the World-wide IALA-Net has announced plans to build the system. Systematic beacon network may offer opportunities to make an infrastructure for information service and upgrade AtoN service performance. This paper proposes Aids to Navigation information service network for e-NAV. Network based on AIS is consist of AIS AtoN channels as Real, Synthetic or Virtual AIS AtoN. And inner network is consist of Wireless networks as AIS, WCDMA, WIFI, WIBRO, USN or VSAT. Introducing of various network systems can lead to combine and design aomong land, beacon and service network infrastructures.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.25-32
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• 2021

In line with future changes in the marine environment, Aids to Navigation has been used in various fields and their use is increasing. The term "Aids to Navigation" means an aid to navigation prescribed by Ordinance of the Ministry of Oceans and Fisheries which shows navigating ships the position and direction of the ships, position of obstacles, etc. through lights, shapes, colors, sound, radio waves, etc. Also now the use of Aids to Navigation is transforming into a means of identifying and recording the marine weather environment by mounting various sensors and cameras. However, Aids to Navigation are mainly lost due to collisions with ships, and in particular, safety accidents occur because of poor observation visibility due to sea fog. The inflow of sea fog poses risks to ports and sea transportation, and it is not easy to predict sea fog because of the large difference in the possibility of occurrence depending on time and region. In addition, it is difficult to manage individually due to the features of Aids to Navigation distributed throughout the sea. To solve this problem, this paper aims to identify the marine weather environment by estimating sea fog level approximately with images taken by cameras mounted on Aids to Navigation and to resolve safety accidents caused by weather. Instead of optical and temperature sensors that are difficult to install and expensive to measure sea fog level, sea fog level is measured through the use of general images of cameras mounted on Aids to Navigation. Furthermore, as a prior study for real-time sea fog level estimation in various seas, the sea fog level criteria are presented using the Haze Model and Dark Channel Prior. A specific threshold value is set in the image through Dark Channel Prior(DCP), and based on this, the number of pixels without sea fog is found in the entire image to estimate the sea fog level. Experimental results demonstrate the possibility of estimating the sea fog level using synthetic haze image dataset and real haze image dataset.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.8
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• pp.1773-1779
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• 2015

Shore-to-sea visible light communication using color clustered multiple-input and multiple-output (MIMO) is presented. The proposed maritime visible light communication (MVLC) offers a low-cost, high-speed wireless link for shore-to-sea maritime communications. Each color cluster is comprised of 50 red, green and blue (RGB) light emitting diodes (LEDs) and is modulated using on-off-keying (OOK). Selection combining is performed at the receiver, producing diversity effect within that color cluster. In this paper, we employ sea states (wave height, wind speed, etc.) data from both Pierson-Moskowitz and JONSWAP spectrum models under atmospheric turbulence conditions. Based on the simulation model, the maritime link quality is analysed in terms of coverage distance and bit error rate performance. The results show that the proposed system provides an efficient MVLC, while satisfying International Association of Lighthouse Authorities (IALA) requirements for maritime buoyage system and also offering sufficient illumination from high power LEDs.