• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.249-251
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• 2019

장죽수도 조류신호표지시스템 구축을 위하여 시공 전 단계에서 현장해양조사 및 수치모델링을 통한 최적위치를 선정하고 센서 설치 구조안전성 검토 결과를 바탕으로 시공을 수행하였다. 관리자 인터페이스 및 자료 관리를 위한 운용 소프트웨어와 연계하여 장죽수도의 조류정보(유향, 유속, 유속의 경향)를 항해자에게 AIS 정보로 실시간으로 제공하여 통항 선박의 안전운항을 확보하고, 또한 조류관측자료 분석을 통하여 실시간 정확한 조류정보와 예측 값을 반영하여 해양사고를 미연에 방지 할 수 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.121-123
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• 2021

선박중심직접통신(MX-S2X)은 디지털 통신 연계기술 개발 및 실증을 통한 육상·선박·시설의 유기적 연결을 제공함으로써, 해양사고 저감 및 자율운항선박을 위한 인프라로 활용될 수 있다. 본 논문은 MX-S2X 기술개발에 대한 소개, MX-S2X 개발을 위한 운용 및 설계 요구사항에 대해 기술하고 있으며, 더 나아가 해상 통신 환경이 통신성능에 영향을 끼칠수 있는 경우에 대해 살펴보고 이를 극복하기 위한 MX-S2X 시스템의 물리계층 설계에 대해 기술하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.364-366
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• 2017

Unlike general ships, offshore plants require high reliability due to their long operating time at fixed positions when they are operated. Sensor-based status information is required for user and maintenance worker to ensure safety. In this paper, we propose a monitoring system for safety diagnosis and inspection of cargo lift for offshore plant. It consists of a sensor unit mounted on the cargo Lift, an embedded system measurement unit, and a monitoring unit for real-time data verification. It is based on the ship standard network IEC 61162-450 for the exchange of operating information and sensor measurement information in accordance with the upgrading and integration of equipment in maritime.

• 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.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.295-296
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• 2022

자율운항선박은 선원의 항해 조작 없이 선박 스스로 운항하는 선박을 의미한다. 자율운항선박의 운항 시 충돌 및 사고 위험도가 큰 지역은 운항 중 선박을 많이 조우하게 되는 항 내 및 연안 지역이다. 실제로 충돌사고의 85% 이상이 항 내 및 연안 지역에서 발생한다. 따라서 자율운항선의 운항 안전성 확보를 위해 항 내 및 연안 지역에서의 운항 안전성을 검토하는 것은 미래 자율운항선 항 내 운용 체계에서 중요한 역할을 하게 된다. 대양에서는 선박 자체의 운항성능이 중요하지만, 항구 입출항 시에는 타선 및 터미널등과의 상호작용이 자율운항선의 입출항 안전성과 직결된다. 따라서 본 연구에서는 자율운항선이 항구 근처에 접근하여 입출항을 위해 대기하고 있는 경우에 입출항 결정을 내릴 수 있는 결정 알고리즘을 위한 해상혼잡도를 예측하는 알고리즘을 개발하는 과정을 소개한다. 혼잡 예측 알고리즘 개발을 위해 선박의 AIS통항 데이터를 분석하여 주요 항로를 구분하고 주요 항로의 이용 빈도 및 운항 시점의 선박 집중도 및 충돌위험 상황을 파라미터로 하여 특정 시간이 지난 후의 혼잡도를 예측하는 시스템을 개발하고자 한다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.5
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• pp.474-482
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• 2020

To ensure the safe operation of offshore plants, a system is needed for evaluating the equipment performance and for monitoring the results. Currently, owing to the operating environments of of shore plants situated far from the land, measurement data must be periodically stored in storage devices and carried on the land for evaluating the equipment performance. Consequently, it is difficult to prevent equipment failure because the performance evaluation cycle is long. Furthermore, until the next performance evaluation is conducted, it is difficult to determine the equipment's degree of performance degradation. Hence, it is necessary to install an onboard equipment performance monitoring system within the offshore plant. In this study, to evaluate and visualize the results of equipment performance within an offshore plant, a database was designed as the initial step towards the development of an equipment performance monitoring system. The tag data of major equipment were selected and analyzed. Furthermore, in order to store and manage the data measured in real time within the offshore plant, a database was developed for the onboard equipment performance monitoring system.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.936-939
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• 2022

As air combat system technologies developed in recent years, the development of air defense systems is required. In the operating concept of the anti-aircraft defense system, selecting an appropriate armament for the target is one of the system's capabilities in efficiently responding to threats using limited anti-aircraft power. Much of the flying threat identification relies on the operator's visual identification. However, there are many limitations in visually discriminating a flying object maneuvering high speed from a distance. In addition, as the demand for unmanned and intelligent weapon systems on the modern battlefield increases, it is essential to develop a technology that automatically identifies and classifies the aircraft instead of the operator's visual identification. Although some examples of weapon system identification with deep learning-based models by collecting video data for tanks and warships have been presented, aerial vehicle identification is still lacking. Therefore, in this paper, we present a model for classifying fighters, helicopters, and drones using a convolutional neural network model and analyze the performance of the presented model.

• Journal of Satellite, Information and Communications
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• v.6 no.1
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• pp.37-44
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• 2011

COMS(Chollian) satellite which was launched on June 26, 2010 has three payloads for Ka-band communications, geostationary ocean color imaging and meteorological imaging. In order to make efficient use of the geostationary satellite, a concept of mission operations has been considered from the beginning of the satellite ground control system development. COMS satellite mission operations are classified by daily, weekly, monthly, and seasonal operations. Daily satellite operations include mission planning, command planning and transmission, telemetry processing and analysis, ranging and orbit determination, ephemeris and event prediction, and wheel off-loading set point parameter calculation. As a weekly operation, North-South station keeping maneuver and East-West station keeping maneuver should be performed on Tuesday and Thursday, respectively. Spacecraft oscillator updating parameter should be calculated and uploaded once a month. Eclipse operations should be performed during a vernal equinox and autumnal equinox season. In this paper, operational validations of the major functions in COMS SGCS are presented for the first three month of in-orbit test operations. All of the major functions have been successfully verified and the COMS SGCS will be used for the mission operations of the COMS satellite for 7 years of mission life time and even more.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.2
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• pp.238-247
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• 2023

Liquefied petroleum gas (LPG) is an attractive fuel for ships considering its current technology and economic viability. However, safety guidelines for LPG-fueled ships are still under development, and there have been no cases of applying LPG propulsion systems to small and medium-sized ships in Korea. The purpose of this study was to perform an objective risk assessment for the first marine LPG engine system and propose safe operational standards. First, hazard and operability (HAZOP) analysis was used to divide the engine system into five nodes, and 58 hazards were identified. To compensate for the subjectivity of qualitative evaluation using HAZOP analysis, fuzzy set theory was used, and additional risk factors, such as detectability and sensitivity, were included to compare the relative weights of the risk factors using a fuzzy analytical hierarchy process. As a result, among the five risk factors, those with a major impact on risk were determined to be the frequency and severity. Finally, the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was applied to select the risk rank more precisely by considering the weights of the risk factors. The risk level was divided into 47 groups, and the major hazard during the operation of the engine system was found through the analysis to be gas leakage during maintenance of the LPG supply line. The technique proposed can be applied to various facilities, such as LPG supply systems, and can be utilized as a standard procedure for risk assessment in developing safety standards for LPG-powered ships.

• Journal of Ocean Engineering and Technology
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• v.33 no.6
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• pp.620-626
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• 2019

With the development of robot technology, the expectation of autonomous mission operations has increased, and the research on robot control architectures and mission planners has continued. A scalable and robust control architecture is required for unmanned surface vehicles (USVs) to perform a variety of tasks, such as surveillance, reconnaissance, and search and rescue operations, in unstructured and time-varying maritime environments. In this paper, we propose a robot control architecture along with a new utility function that can be extended to various applications for USVs. Also, an additional structure is proposed to reflect the operator's command and improve the performance of the autonomous mission. The proposed architecture was developed using a robot operating system (ROS), and the performance and feasibility of the architecture were verified through simulations.