• Title/Summary/Keyword: maritime cloud

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Analysis of IMO Maritime Cloud client for developing e-Navigation application service (이내비게이션 응용 서비스 개발을 위한 IMO 마리타임 클라우드 클라이언트 분석)

  • Lee, Jea-Wook;Mun, Chang-Ho;Lee, Seo-jeong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.10a
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    • pp.5-6
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    • 2015
  • Maritime Cloud has been progressed by IMO as a part of the e-Navigation Strategy Implementation Plan. Development of maritime cloud enables safe and reliable information exchange among maritime stakeholders. The research conducted static analysis of open source-based maritime cloud for design and development of e-Navigation application service. As a result, configuration and role of component of MMS, one of core technologies of maritime cloud, was found out. Also, in order to grasp maritime cloud-based application, we found operation process and relationship between maritime cloud and client by analyzing EPD. The findings of the research could be utilized for developing future e-Navigation service.

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AIS application program implementation and test based on IMO Maritime Cloud analysis (IMO 마리타임 클라우드 분석을 통한 AIS응용 프로그램 구현 및 테스트)

  • Lee, Jea-Wook;Mun, ChangHo;Lee, Seojeong
    • Journal of Digital Contents Society
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    • v.16 no.6
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    • pp.927-934
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    • 2015
  • IMO e-Navigation is ongoing project for safety navigation and protection of maritime environment. Maritime Cloud is a part of e-Navigation Strategy Implementation Plan. It is IT framework technology for exchanging information among maritime stakeholders. We found configuration and operation process by analysis on Maritime Cloud architecture and EPD which is a client program. Through the result, we actually implemented client program. Client program targets Berthing data serviced on AIS-ASM. And we used MMS which is function of message exchanging of Maritime Cloud. The test result show data exchanging succeeded. And it will be helpful to develop Maritime Cloud service, to advance Korean Maritime Cloud.

Architecture of Vessel ID Importation System for Efficient Registration of Maritime ID in Maritime Cloud Environment (해사클라우드 환경에서 해사ID의 효율적인 등록을 위한 선박ID 연동 시스템의 구조 설계)

  • An, Gae-Il;Chung, Do-Young;Chung, Byung-Ho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2017.11a
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    • pp.132-133
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    • 2017
  • The International Maritime Organization (IMO) has defined e-Navigation for the purpose of providing safe and efficient maritime information and communication services. Currently, a maritime cloud is being developed as a communication infrastructure for e-Navigation services. In this paper, we design the structure of vessel ID importation system which can efficiently register the maritime ID in the maritime cloud environment.

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A Proposal of SH-Tree Based Data Synchronization Method for Secure Maritime Cloud (안전한 해사클라우드 환경을 위한 SH-Tree 기반의 데이터 동기화 기법 제안)

  • Lee, Donghyeok;Park, Namje
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.4
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    • pp.929-940
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    • 2016
  • The IMO e-navigation strategy has requested a communication infrastructure providing authorized seamless information transfer between stakeholders. The Maritime Cloud is the term used to describe the concept of an infrastructure that support authorized, seamless information transfer, adding those elements, that are necessary to support the e-navigation domain. It is necessary to consider the study on maritime cloud security, but the study is still an early stage. In this paper, we propose a secure synchronization method for the maritime cloud services. The proposed method can be synchronize between the vessel based on the SH-Tree, and it has the advantage that there is no exposure information in the synchronization process.

A Secure Data Transmission Scheme Based on Secret Sharing for the Maritime Cloud Environment (해사클라우드 환경에 적합한 비밀분산 기반의 안전한 데이터 전송 기법)

  • Lee, Donghyeok;Park, Namje
    • KIISE Transactions on Computing Practices
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    • v.23 no.4
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    • pp.232-237
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    • 2017
  • The Maritime Cloud is a technology that enables the seamless exchange of information between several communication links in the maritime domain. Although research on The Maritime Cloud security is still at an early stage, furthering this knowledge is vital to securing the marine environment. In this paper, we propose a method for secure data transmission through The Maritime Cloud domain. The proposed technique, based on the "secret sharing" scheme, is delivered through specifically-dedicated geocasting software. Thus, only authorized vessels can restore the original information. The proposed method is safe from so-called "sniffing" and "man-in-the-middle" attacks.

A Study on the Development of Operator Training Methods for a Cloud-Based Vessel Traffic Service Platform (클라우드 기반 차세대 VTS 통합플랫폼 도입에 따른 교육과정 개발에 관한 연구)

  • Min Jung;Jeong-Ho Kim;Eun-Kyu Jang;Sek-Han Bae
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.939-949
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    • 2023
  • In South Korea, a cloud-based vessel traffic service (Cloud VTS) system integrating the fourth industrial revolution technologies such as cloud and AI is currently under development in contrast to the existing VTS systems. A pilot center for at Busan VTS is being established based on differentiated technology and operational programs. The roles of operators and maintenance personnel who operate the innovative Cloud VTS system must be redefined. Additionally, a demand exists for the development of new educational programs to ensure the smooth operation of the Cloud VTS. Therefore, this study introduces the development details of a Cloud VTS system and explores educational strategies aimed at operators and maintenance personnel to ensure its safe operation.

An integrated method of flammable cloud size prediction for offshore platforms

  • Zhang, Bin;Zhang, Jinnan;Yu, Jiahang;Wang, Boqiao;Li, Zhuoran;Xia, Yuanchen;Chen, Li
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.13 no.1
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    • pp.321-339
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    • 2021
  • Response Surface Method (RSM) has been widely used for flammable cloud size prediction as it can reduce computational intensity for further Explosion Risk Analysis (ERA) especially during the early design phase of offshore platforms. However, RSM encounters the overfitting problem under very limited simulations. In order to overcome the disadvantage of RSM, Bayesian Regularization Artificial Neural (BRANN)-based model has been recently developed and its robustness and efficiency have been widely verified. However, for ERA during the early design phase, there seems to be room to further reduce the computational intensity while ensuring the model's acceptable accuracy. This study aims to develop an integrated method, namely the combination of Center Composite Design (CCD) method with Bayesian Regularization Artificial Neural Network (BRANN), for flammable cloud size prediction. A case study with constant and transient leakages is conducted to illustrate the feasibility and advantage of this hybrid method. Additionally, the performance of CCD-BRANN is compared with that of RSM. It is concluded that the newly developed hybrid method is more robust and computational efficient for ERAs during early design phase.

Dense Thermal 3D Point Cloud Generation of Building Envelope by Drone-based Photogrammetry

  • Jo, Hyeon Jeong;Jang, Yeong Jae;Lee, Jae Wang;Oh, Jae Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.2
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    • pp.73-79
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    • 2021
  • Recently there are growing interests on the energy conservation and emission reduction. In the fields of architecture and civil engineering, the energy monitoring of structures is required to response the energy issues. In perspective of thermal monitoring, thermal images gains popularity for their rich visual information. With the rapid development of the drone platform, aerial thermal images acquired using drone can be used to monitor not only a part of structure, but wider coverage. In addition, the stereo photogrammetric process is expected to generate 3D point cloud with thermal information. However thermal images show very poor in resolution with narrow field of view that limit the use of drone-based thermal photogrammety. In the study, we aimed to generate 3D thermal point cloud using visible and thermal images. The visible images show high spatial resolution being able to generate precise and dense point clouds. Then we extract thermal information from thermal images to assign them onto the point clouds by precisely establishing photogrammetric collinearity between the point clouds and thermal images. From the experiment, we successfully generate dense 3D thermal point cloud showing 3D thermal distribution over the building structure.

MCC 연구 개발 추진현황

  • Park, Myeong-Ho;Kim, Seung-Hyeon;Lee, Seung-Hyeon;Gang, Dong-U
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.11a
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    • pp.379-381
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    • 2018
  • MCC(Maritime Cloud Connector)는 한국형 e-Navigation 시스템에서 MCP(Maritime Cloud Platform)와 육상서비스 간 데이터를 전달하고 메시지를 변환하는 중요한 역할을 한다. 이 연구에서는 MCC 연구개발에 있어 메시지처리 고도화 개발 및 IDL Catalogue Converting Rule을 적용한 메시지 변환에 대한 연구를 진행하였다.

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