• Title/Summary/Keyword: Maritime Artificial Intelligence

Search Result 68, Processing Time 0.025 seconds

Design and Implementation of Green Coastal Lighting System for Entrance to Coastal Pier

  • Jae-Kyung Lee;Jae-Hong Yim
    • Journal of Navigation and Port Research
    • /
    • v.47 no.2
    • /
    • pp.85-92
    • /
    • 2023
  • The hardware of an LED lighting control system for coastal lighting at coastal pier entrance consists of a power supply unit, an AVR control unit, a CLCD output unit, an LED control unit, a scenario selection switch unit, and an operation speed display unit. It is made of an 8-channel. The CPU used ATmega128 and the FET was used to control the current signal. To operate the CPU, DC 12V was converted to DC 5V using a regulator 7805. A heat sink was used to remove heat generated in the FET. By connecting the load LED module to the manufactured 8-channel LED lighting control system, the operation was confirmed through various production scenarios. In addition, a control system was designed to show the most suitable color for the atmosphere of the coastal pier according to the input value of temperature and illumination using a fuzzy control system. Computer simulation was then conducted. Results confirmed that fuzzy control did not need to store many data inputs due to characteristics of artificial intelligence and that it could efficiently represent many output values with simple fuzzy rules.

A Study on the Maritime Law According to the Occurrence of Marine Accidents of MASS(Maritime Autonomous Surface Ship) (자율운항선박의 해양사고 발생에 따른 해상법적 고찰)

  • Lee, Young-Ju
    • Maritime Security
    • /
    • v.6 no.1
    • /
    • pp.37-56
    • /
    • 2023
  • Recently, with the rapid development of ICT(Information and Communication Technology) and AI(Artificial Intelligence) technology industries, the emergence of MASS(Maritime Autonomous Surface Ship), which were thought only in the distant future, is approaching a reality. Along with the development of these amazing technologies, changes in the private law sector, such as liability, compensation for damages, and maritime insurance, as well as in the public law sector, such as maritime safety, marine environment protection, and maintenance of maritime order, have become necessary in the field of maritime law. In particular, with the advent of a new type of ship called MASS that does not have a crew on board, the kind and type of liability, compensation for damages, and insurance contracts in the event of a marine accident will also change. In this paper, the general theory about concept, classification, effectiveness and future of MASS and the general theory about concept and various obligations and responsibilities under the maritime law for discussion of MASS are reviewed. Next, in addition, regarding the problems that may occur in the event of a marine accident from MASS, the status as a ship, the legal relationship of the chartering contract, obligation to exercise due diligence in making the vessel seaworthiness, subject of responsibility, and liability for damages and immunity are reviewed from the perspective of maritime law. In addition, in the degree four of MASS, the necessities of further research to clarify the attributable subjects and standards of responsibility in the event of a marine accident, as well as the necessities of institutional improvement such as technology development, enactment and amendment of law and funding are presented.

  • PDF

Real-time Wave Overtopping Detection and Measuring Wave Run-up Heights Based on Convolutional Neural Networks (CNN) (합성곱 신경망(CNN) 기반 실시간 월파 감지 및 처오름 높이 산정)

  • Seong, Bo-Ram;Cho, Wan-Hee;Moon, Jong-Yoon;Lee, Kwang-Ho
    • Journal of Navigation and Port Research
    • /
    • v.46 no.3
    • /
    • pp.243-250
    • /
    • 2022
  • The purpose of this study was to propose technology to detect the wave in the image in real-time, and calculate the height of the wave-overtopping through image analysis using artificial intelligence. It was confirmed that the proposed wave overtopping detection system proposed in this study could detect the occurring of wave overtopping, even in severe weather and at night in real-time. In particular, a filtering algorithm for determining if the wave overtopping event was used, to improve the accuracy of detecting the occurrence of wave overtopping, based on a convolutional neural networks to catch the wave overtopping in CCTV images in real-time. As a result, the accuracy of the wave overtopping detection through AP50 was reviewed as 59.6%, and the speed of the overtaking detection model was 70fps based on GPU, confirming that accuracy and speed are suitable for real-time wave overtopping detection.

Artificial Intelligence for Autonomous Ship: Potential Cyber Threats and Security (자율 운항 선박의 인공지능: 잠재적 사이버 위협과 보안)

  • Yoo, Ji-Woon;Jo, Yong-Hyun;Cha, Young-Kyun
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.32 no.2
    • /
    • pp.447-463
    • /
    • 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.

A Study on the Current Status and Improvement Direction of Korean e-Navigation Service on Ship's Collision (우리나라 선박 충돌예방 지원서비스의 현황 및 발전방향에 대한 연구)

  • Kwang-Hyun Lim;Deuk-Jae Cho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2021.11a
    • /
    • pp.3-4
    • /
    • 2021
  • Korea government has developed Korean e-Navigation service to assist ship's collision avoidance, and is providing it since Jan. 2021 to korean vessels to reduce marine accidents caused by human error which is regarded as main reason of marine accidents. It is a huge achievement itself because it is a real-time maritime safety information service based on digital communication, but still has room for improvement to provide customized information for each vessel, such as considering ship's characteristics. This research analyzes current status and requirement of collision avoidance assistance service. Lastly, it suggests direction of improvement of service such as using data science, artificial intelligence(AI).

  • PDF

Determination of Optimal Welding Parameter for an Automatic Welding in the Shipbuilding

  • Park, J.Y.;Hwang, S.H.
    • International Journal of Korean Welding Society
    • /
    • v.1 no.1
    • /
    • pp.17-22
    • /
    • 2001
  • Because the quantitative relationships between welding parameters and welding result are not yet blown, optimal values of welding parameters for $CO_2$ robotic arc welding is a difficult task. Using the various artificial data processing methods may solve this difficulty. This research aims to develop an expert system for $CO_2$ robotic arc welding to recommend the optimal values of welding parameters. This system has three main functions. First is the recommendation of reasonable values of welding parameters. For such work, the relationships in between the welding parameters are investigated by the use of regression analysis and fuzzy system. The second is the estimation of bead shape by a neural network system. In this study the welding current voltage, speed, weaving width, and root gap are considered as the main parameters influencing a bead shape. The neural network system uses the 3-layer back-propagation model and a generalized delta rule as teaming algorithm. The last is the optimization of the parameters for the correction of undesirable weld bead. The causalities of undesirable weld bead are represented in the form of rules. The inference engine derives conclusions from these rules. The conclusions give the corrected values of the welding parameters. This expert system was developed as a PC-based system of which can be used for the automatic or semi-automatic $CO_2$ fillet welding with 1.2, 1.4, and 1.6mm diameter the solid wires or flux-cored wires.

  • PDF

Design and Implementation of Sensibilities Lighting LED Controller for a Ship (선박용 감성조명 LED 제어기의 설계 및 구현)

  • Lee, Jae-Hong;Park, Ju-Won;Lim, Jin-Kang;Lee, Sang-Bae
    • Journal of Navigation and Port Research
    • /
    • v.34 no.10
    • /
    • pp.763-768
    • /
    • 2010
  • Today the light of mankind since the dawn of mankind and that they were living "lives" on the huge influence across space is a dynamic energy. Because of this, when all human beings with the light and you can feel more comfortable with a stable mind to the beauty and the pursuit of happiness is to have instincts. In this paper, a fuzzy control system using a combination of external environmental factors, respectively, the conversion of quantitative uncertainty information into the LED lighting is designed to express algorithms, available in indoor circadian control circuit was designed and fabricated LED. Factor in the external environment temperature, humidity, and light intensity values to the controller through the sensor to accept these values and the optimal values for lighting the fuzzy control algorithm is converted into human emotion to feel comfortable to express through the dimming control LED lighting.

Analyses of Steady State Mixing Process of Two-Liquids Using Artificial Intelligence (인공지능을 이용한 이종액체 정상 상태 혼합의 혼합과정 해석)

  • KONG, DAEKYEONG;YUM, JUHO;CHO, GYEONGRAE;DOH, DEOGHEE
    • Transactions of the Korean hydrogen and new energy society
    • /
    • v.29 no.5
    • /
    • pp.523-529
    • /
    • 2018
  • Two liquids which are generally used as fuels of rockets are mixed and their mixing process is quantitatively investigated by the use of particle image velocimetry (PIV). As working fluids for the liquid mixing, Dimethylfuran (DMF) and JetA1 oils have been used. Since the specific gravity of DMF is larger than that of JetA1 oil, the DMF oil has been set at the lower part of the JetA1 oil. For better visualization of the mixing process, Rhodamin B powder has been blended into the DMF oil. An agitator having 3 blades has been used for mixing the two liquids. For quantitative visualization, a LCD monitor has been used as a light source. A color camera, camcoder, has been used for recording the mixing process. The images captured by the camcoder have been digitized into three color components, R, G, and B. The color intensities of R, G, and B have been used as the inputs of the neural network of which hidden layer has 20 neurons. Color-to-concentration calibration has been performed before commencing the main experiments. Once this calibration is completed, the temporal changes of the concentration of the DMF has been quantitatively analyzed by using the constructed measurement system.

Study on Basic Design of Maritime Information Gateway System for Sharing Information with Related Organizations about Korean e-Navigation Service (유관기관 정보 공유를 위한 지능형 해상교통정보 체계의 대용량 해양 정보 연계 시스템 기본 설계에 대한 연구)

  • Yong-hak Song;Hyun Kim;Do-yeon Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2022.06a
    • /
    • pp.308-309
    • /
    • 2022
  • The Ministry of Oceans and Fisheries is providing maritime safety services using combine limited artificial intelligence technologies through the operation of the Korean e-Navigation service, and research is needed to improve reliability and quality to secure the competitiveness of the system. However, linking real-time operating systems requires a separate system configuration that can be linked after processing personal information security with minimal performance impact. To solve this problem, this study will make a basic design of a big-data maritime information gateway system of the Korean e-Navigation service that minimizes the impact of performance and reflects the security of personal information.

  • PDF

Trend Analysis of Unmanned Technology Using Patent Information

  • Park, Jaeyong;Kang, Dongsu
    • Journal of the Korea Society of Computer and Information
    • /
    • v.22 no.3
    • /
    • pp.89-96
    • /
    • 2017
  • Artificial intelligence and robot technology have been received attention as core technologies of the 4th industrial revolution. This paradigm change of science technology raises the importance of unmanned technology field. This paper categorizes unmanned technology as unmanned ground system, unmanned maritime system, and unmanned aircraft system, And it analyzes 557 cases of open patents and classifies each sort of specific technology elements. After then patent information, which were classified by technology, by patent assignees, and by IPC codes, covers unmanned technology maturity, development direction of research and core technology trends. This research provides directions of unmanned technology research and diverse field technology development through cooperation with various perspectives of quantitative analysis of patents.