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Journal articles on the topic 'Vessels Monitoring System'
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1
INADA, Takaomi. "Development of Pressure Vessels : Needs of Structural Health Monitoring System." Proceedings of Conference of Kanto Branch 2004.10 (2004): 49–52. http://dx.doi.org/10.1299/jsmekanto.2004.10.49.
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Park, Jong An, Seong Kwan Kang, Yong Su Kim, Jang Won Seo, Ji Min Lee, and Young Eun An. "Smart Device Application Development for Remotely Monitoring Green · Leisure Vessels." Applied Mechanics and Materials 321-324 (June 2013): 790–94. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.790.
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Has been actively studied for vessels monitoring system, but most of that is aligned with the large vessels. In recent years, with the growth of the marine leisure industry, there is a growing demand for vessel monitoring and providing information system of small and medium-sized vessels such as greenleisure vessels. In this background, this paper was designed the remote monitoring system showing through smart terminals in remote data has been transferred from the 60ft green leisure vessels. These system will be able to create a demand for green leisure vessels by interconnecting the integration operated system of the green·leisure vessels.
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Luo, Xiu Bo, De Min Xu, and Xiao Mei Hu. "Research of Oil Quality Online Monitoring System." Applied Mechanics and Materials 686 (October 2014): 145–52. http://dx.doi.org/10.4028/www.scientific.net/amm.686.145.
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The quality of oil determines the status and life of the devices. However, most Chinese vessels have not equipped with on-line oil quality testing facilities. Therefore, a special on-line oil quality monitoring system for vessels is designed to real-time monitor of oil pollution change. An alarm signal or control signal based on the monitoring results is sent, which supports the purifier automatically and water, particles and gases are removed from the oil to maintain a good oil quality. The system is developed and implemented in the vessel corporation and has a good prospect of application. The application of this system will promote the process of the intelligent device management.
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Basuki, Akbari Indra, and Aciek Ida Wuryandari. "Design and Analysis of Hybrid Vessel Monitoring System based on DTN and Internet Collaboration." Jurnal INKOM 9, no. 2 (May 30, 2016): 57. http://dx.doi.org/10.14203/j.inkom.426.
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In this paper, we propose hybrid Vessel Monitoring System (VMS) design as alternative for current VMS scheme by collaborating internet connection and Disruption-Tolerant-Networks (DTN). The hybrid solution combines offline VMS that use radio networks and online VMS that utilizing satellite-based internet. Hybrid VMS aims to provide a more flexible VMS design and able to speed up delivery process of offline vessel’s data. The concept is both type of vessels must install a standard radio networks for data forwarding. The proposed method to speed up data delivery is by forwarding VMS data from one vessel to another using DTN forwarding scheme. Data can be forwarded to another offline vessel that will return to harbor earlier or to online vessels which have internet connection. Performance measurement is done through simulation analysis using ONE simulator. It aims to measure the speed up data delivery using hybrid VMS implementation compare to a pure offline VMS implementation. Simulation result show that hybrid VMS able to speed up data delivery for offline vessel data in 1.5 up to 2 times faster compare to a pure offline VMS implementation. Hybrid VMS also has advantages in flexible implementation by easily switching between online and offline VMS scheme, according to fisherman financial situation. Spray-and-Wait routing is the most suitable routing algorithm for hybrid VMS according to the efficiency ratio.
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Long, Hoang, Oh-Heum Kwon, Suk-Hwan Lee, and Ki-Ryong Kwon. "Gabor Feature Representation and Deep Convolution Neural Network for Marine Vessel Classification." Korea Society of Coastal Disaster Prevention 8, no. 3 (July 30, 2021): 121–26. http://dx.doi.org/10.20481/kscdp.2021.8.3.121.
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The Vessel Surveillance System (VSS), a crucial tool for fisheries monitoring, controlling, and surveillance, has been required to use for the reservation of the current depressed state of the world's fisheries by fisheries management agencies. An important issue in the vessel surveillance system is the classification of vessels. However, several factors, such as lighting, congestion, and sea state, will affect the vessel's appearance, making it more difficult to classify vessels. There are two main methods for conventional classifications of vessels: the traditional-based- characteristics method and the convolutional neural networks-used method. In this paper, we combine Gabor feature representation (GFR) and deep convolution neural network (DCNN) to classify vessels. Gabor filters in different directions and ratios are used to extract vessel characteristics to create a new image of vessels, which is DCNN's input. The visible and infrared spectrums (VAIS) dataset, the world's first publicly available dataset for paired infrared and visible vessel images, was used to validate the proposed method (GFR-DCNN). The numerical results showed that GFR-DCNN is more accurate than other methods.
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Hsu, Feng-Chi, Christopher D. Elvidge, Kimberly Baugh, Mikhail Zhizhin, Tilottama Ghosh, David Kroodsma, Adi Susanto, et al. "Cross-Matching VIIRS Boat Detections with Vessel Monitoring System Tracks in Indonesia." Remote Sensing 11, no. 9 (April 26, 2019): 995. http://dx.doi.org/10.3390/rs11090995.
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A methodology had been proposed for cross-matching visible infrared imaging radiometer suite (VIIRS) boat detections (VBD) with vessel monitoring system (VMS) tracks. The process involves predicting the probable location of VMS vessels at the time of each VIIRS data collection with an orbital model. Thirty-two months of Indonesian VMS data was segmented into fishing and transit activity types and then cross-matched with the VBD record. If a VBD record is found within 700 m and 5 s of the predicted location, it is marked as a match. The cross-matching indicates that 96% of the matches occur while the vessel is fishing. Small pelagic purse seiners account for 27% of the matches. Other gear types with high match rates include hand line tuna, squid dip net, squid jigging, and large pelagic purse seiners. Low match rates were found for gillnet, trawlers, and long line tuna. There is an indication that VMS vessels using submersible lights can be identified based on consistently low average radiances and match rates under 45%. Overall, VBD numbers exceed VMS vessel numbers in Indonesia by a nine to one ratio, indicating that VIIRS detects large numbers of fishing boats under the 30 Gross Tonnage (GT) level set for the VMS requirement. The cross-matching could be used to identify “dark” vessels that lack automatic identification system (AIS) or VMS.
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Marques, Mario Monteiro, Victor Lobo, A. Pedro Aguiar, J. Estrela Silva, J. Borges de Sousa, Maria de Fátima Nunes, Ricardo Adriano Ribeiro, Alexandre Bernardino, Gonçalo Cruz, and Jorge Salvador Marques. "An Unmanned Aircraft System for Maritime Operations: The Automatic Detection Subsystem." Marine Technology Society Journal 55, no. 1 (January 1, 2021): 38–49. http://dx.doi.org/10.4031/mtsj.55.1.4.
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AbstractThis paper addresses the development of an integrated system to support maritime situation awareness based on unmanned aerial vehicles (UAVs), emphasizing the role of the automatic detection subsystem. One of the main topics of research in the SEAGULL project was the automatic detection of sea vessels from sensors onboard the UAV, to help human operators in the generation of situational awareness of maritime events such as (a) detection and geo-referencing of oil spills or hazardous and noxious substances, (b) tracking systems (e.g., vessels, shipwrecks, lifeboats, debris), (c) recognizing behavioral patterns (e.g., vessels rendezvous, high-speed vessels, atypical patterns of navigation), and (d) monitoring environmental parameters and indicators. We describe a system composed of optical sensors, an embedded computer, communication systems, and a vessel detection algorithm that can run in real time in the embedded UAV hardware and provide to human operators vessel detections with low latency, high precision rates (about 99%), and suitable recalls (>50%), which is comparable to other more computationally intensive state-of-the-art approaches. Field test results, including the detection of lifesavers and multiple vessels in red-green-and-blue (RGB) and thermal images, are presented and discussed.
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WADA, Masaaki, Nobuo KIMURA, Tatsuya MIZUKAWA, and Minoru MASUDA. "A Monitoring System of Marine Construction Vessels under Tow." Journal of Japan Institute of Navigation 113 (2005): 223–29. http://dx.doi.org/10.9749/jin.113.223.
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Swartz, R. Andrew, Andrew T. Zimmerman, Jerome P. Lynch, Jesus Rosario, Thomas Brady, Liming Salvino, and Kincho H. Law. "Hybrid wireless hull monitoring system for naval combat vessels." Structure and Infrastructure Engineering 8, no. 7 (July 2012): 621–38. http://dx.doi.org/10.1080/15732479.2010.495398.
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Chao, Han-Chieh, Hsin-Te Wu, and Fan-Hsun Tseng. "AIS Meets IoT: A Network Security Mechanism of Sustainable Marine Resource Based on Edge Computing." Sustainability 13, no. 6 (March 10, 2021): 3048. http://dx.doi.org/10.3390/su13063048.
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The sustainable utilization of marine resources is a vital issue to enrich marine life and to prevent species extinction caused by overfishing. Nowadays, it is common that commercial and smaller vessels are equipped with an Automatic Identification System (AIS) and GPS for better vessel tracking to avoid vessel collision as well as mayday calls. Additionally, governments can monitor vessels’ sea activities through AIS messages, stopping them from overfishing or tracking if any vessel has caused marine pollution. However, because AIS devices cannot guarantee data security, they are susceptible to malicious attacks such as message modification or an illegitimate identity faking a distress signal that causes other vessels to change their course. Given the above, a comprehensive network security system of a sustainable marine environment should be proposed to ensure secure communication. In this paper, a stationary IoT-enabled (Internet of Things) vessel tracking system of a sustainable marine environment is proposed. The system combines network security, edge computing, and tracking management. It offers the following functions: (1) The IoT-based vessel tracking system tracks each aquafarmer’s farming zone and issues periodic warning to prevent vessel collision for pursuing a sustainable marine environment; (2) the system can serve as a relay station that evaluates whether a vessel’s AIS data is correct; (3) the system detects abnormal behavior and any irregular information to law enforcement; (4) the system’s network security mechanism adopts a group key approach to ensure secure communication between vessels; and (5) the proposed edge computing mechanism enables the tracking system to perform message authentication and analysis, and to reduce computational burden for the remote or cloud server. Experiment results indicate that our proposed system is feasible, secure, and sustainable for the marine environment, and the tendered network security mechanism can reduce the computational burden while still ensuring security.
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Jennings, Simon, and Janette Lee. "Defining fishing grounds with vessel monitoring system data." ICES Journal of Marine Science 69, no. 1 (November 14, 2011): 51–63. http://dx.doi.org/10.1093/icesjms/fsr173.
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Abstract Jennings, S., and Lee, J. 2012. Defining fishing grounds with vessel monitoring system data. – ICES Journal of Marine Science, 69: 51–63. Methods for defining fishing grounds to support marine spatial planning and management are developed, applied, and compared. The methods are broadly applicable and repeatable because they use vessel monitoring system (VMS) data that are archived and increasingly accessible. For several fleets at regional and national scales, an attempt is made to assess how the choice of criteria for defining grounds influences (i) size, shape, and location, (ii) overlap among grounds, and (iii) the extent to which annual and multi-annual patterns of fishing activity describe grounds used seasonally or by individual vessels. The results show that grounds defined by excluding infrequently fished margins (areas with <10% of total fishing activity) are typically 50% smaller than total fished area. However, landings weight or value (LWV) per unit activity can be higher at the margins, with 10% of activity usually accounting for 10–20% of LWV. The removal of fishing activity in the margins, as a consequence of regulation or fleet behaviour, would lead to disproportionately greater reductions in interactions with other fisheries, sectors, and the environment. Accessible high-resolution information on the “anatomy” of all fishing grounds would better inform debates on the allocation and the use of marine space and the integration of fisheries and environmental management.
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Song, Yan Dong. "Design Research on Pressure Vessel of Automobiles Assembly Shop." Applied Mechanics and Materials 508 (January 2014): 204–7. http://dx.doi.org/10.4028/www.scientific.net/amm.508.204.
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In the same conditions, the accidents of pressure vessel are much higher than other mechanical equipment. Therefore, the study on the pressure vessels in anomaly conditions and the dynamic response and tolerance capabilities of the structure not only helps to the research and development of warning surveillance and prevention technology about pressure vessels in anomaly conditions, but also contribute to the correct evaluation of the feasibility and reliability on the device of early warning monitoring system and the prevent technology. As pressure vessel is widely used and efficiency is enhanced, traditional failure analysis is restricted to test, analyze accidents, find out failure reasons and table proposals. It is realistic to make a modern design system for pressure vessels, judge failure reasons rapidly and table proposals. Keywords: pressure vessel; modern design; working characteristics
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Caamaño, Lucía Santiago, Roberto Galeazzi, Marcos Míguez González, Vicente Díaz Casás, and Ulrik D. Nielsen. "Experimental Validation of Transverse Stability Monitoring System for Fishing Vessels." IFAC-PapersOnLine 52, no. 21 (2019): 57–63. http://dx.doi.org/10.1016/j.ifacol.2019.12.283.
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Komorčec, Domagoj, and Dario Matika. "Small crafts role in maritime traffic and detection by technology integration." Pomorstvo 30, no. 1 (June 29, 2016): 3–11. http://dx.doi.org/10.31217/p.30.1.1.
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Maritime traffic has always played an important economic, strategic and transportation role for a maritime country. Small vessels, considering total maritime traffic in the Adriatic Sea, play an important role, although their numbers are often not considered as a potential security risk. Although small vessel accidents do not have damage potential as the large ones, they still need to be regarded as a significant risk to safety of navigation. The first part of this paper shows, thru analysis of SAR action statistical data, that the total number of all accidents is dominated by accidents involving small vessels. A particular problem in the maritime traffic monitoring is the fact that small vessels, because of their characteristics, have a reduced detection probability by modern monitoring technologies and as such can be used as a non-traditional security threat. With development of electronic and information technologies, sensor systems, remote sensing and detection systems, as well as global satellite systems, and the introduction of a legal requirement of AIS on board ships, maritime traffic control has become easier, more organized and more reliable. Although application of these technologies has brought some progress in maritime traffic monitoring, small and fast vessels that are not equipped with AIS system can still be relatively unnoticed in all increasing maritime traffic. For this reason, a solution is perceived in the integration of radar, satellite and electro-optical technologies. The conclusion of this study represents one maritime traffic monitoring possibility that could be a step towards increasing the detection probability of small vessels.
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Pelich, Ramona, Marco Chini, Renaud Hostache, Patrick Matgen, Carlos Lopez-Martinez, Miguel Nuevo, Philippe Ries, and Gerd Eiden. "Large-Scale Automatic Vessel Monitoring Based on Dual-Polarization Sentinel-1 and AIS Data." Remote Sensing 11, no. 9 (May 7, 2019): 1078. http://dx.doi.org/10.3390/rs11091078.
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This research addresses the use of dual-polarimetric descriptors for automatic large-scale ship detection and characterization from synthetic aperture radar (SAR) data. Ship detection is usually performed independently on each polarization channel and the detection results are merged subsequently. In this study, we propose to make use of the complex coherence between the two polarization channels of Sentinel-1 and to perform vessel detection in this domain. Therefore, an automatic algorithm, based on the dual-polarization coherence, and applicable to entire large scale SAR scenes in a timely manner, is developed. Automatic identification system (AIS) data are used for an extensive and also large scale cross-comparison with the SAR-based detections. The comparative assessment allows us to evaluate the added-value of the dual-polarization complex coherence, with respect to SAR intensity images in ship detection, as well as the SAR detection performances depending on a vessel’s size. The proposed methodology is justified statistically and tested on Sentinel-1 data acquired over two different and contrasting, in terms of traffic conditions, areas: the English Channel the and Pacific coastline of Mexico. The results indicate a very high SAR detection rate, i.e., >80%, for vessels larger than 60 m and a decrease of detection rate up to 40 % for smaller size vessels. In addition, the analysis highlights many SAR detections without corresponding AIS positions, indicating the complementarity of SAR with respect to cooperative sources for detecting dark vessels.
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Zhou, Liang, Nan Ya Cao, and Wen Yu Xia. "Research on Inland Vessels Remote Monitoring System Based on 3G Network." Applied Mechanics and Materials 513-517 (February 2014): 395–98. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.395.
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According to the situation of inland navigation, to explore the ship remote monitoring system based on 3G mobile communication network, to achieve the long distance identification and monitoring of inland vessels. This paper proposes an overall solution, including smart phone terminal, 3G communication network, Internet network monitoring and management center. The program is an effective supplement of AIS and VTS. The system components and functions are analyzed; this paper deems that the establishment of the system not only for have an important role to improve the safety of navigation, and can greatly reduce investment and has high feasibility.
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Mendo, Tania, Sophie Smout, Theoni Photopoulou, and Mark James. "Identifying fishing grounds from vessel tracks: model-based inference for small scale fisheries." Royal Society Open Science 6, no. 10 (October 2019): 191161. http://dx.doi.org/10.1098/rsos.191161.
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Recent technological developments facilitate the collection of location data from fishing vessels at an increasing rate. The development of low-cost electronic systems allows tracking of small-scale fishing vessels, a sector of fishing fleets typically characterized by many, relatively small vessels. The imminent production of large spatial datasets for this previously data-poor sector creates a challenge in terms of data analysis. Several methods have been used to infer the spatial distribution of fishing activities from positional data. Here, we compare five approaches using either vessel speed, or speed and turning angle, to infer fishing activity in the Scottish inshore fleet. We assess the performance of each approach using observational records of true vessel activity. Although results are similar across methods, a trip-based Gaussian mixture model provides the best overall performance and highest computational efficiency for our use-case, allowing accurate estimation of the spatial distribution of active fishing (97% of true area captured). When vessel movement data can be validated, we recommend assessing the performance of different methods. These results illustrate the feasibility of designing a monitoring system to efficiently generate information on fishing grounds, fishing intensity, or monitoring of compliance to regulations at a nationwide scale in near-real-time.
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Kim and Lee. "Adaptive Information Visualization for Maritime Traffic Stream Sensor Data with Parallel Context Acquisition and Machine Learning." Sensors 19, no. 23 (November 29, 2019): 5273. http://dx.doi.org/10.3390/s19235273.
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Excessive information significantly increases the mental burden on operators of critical monitoring services such as maritime and air traffic control. In these fields, vessels and aircraft have sensors that transmit data to a control center. Because of the large volume of collected data, it is infeasible for monitoring stations to display all of the information on monitoring screens that have limited sizes. This paper proposes a method for automatically selecting maritime traffic stream data for display from a large number of candidates in a context-aware manner. Safety is the most important concern in maritime traffic control, and special care must be taken to avoid collisions between vessels at sea. It presents an architecture for an adaptive information visualization system for a maritime traffic control service. The proposed system adaptively determines the information to be displayed based on the safety evaluation scores and expertise of vessel traffic service operators. It also introduces a method for safety context acquisition to assess the risk of collisions between vessels, using parallel and distributed processing of maritime stream data transmitted by sensors on the vessels at sea. It provides an information-filtering, knowledge extraction method based on the work logs of traffic service operators, using a machine learning technique to generate a decision tree. We applied the proposed system architecture to a large dataset collected at a port. Our results indicate that the proposed system can adaptively select traffic information according to port conditions and to ensure safety and efficiency.
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Qu, Xiao, and Wei Gang Zheng. "Design of Ship Anti-Collision Alarm System Based on Laser Range-Finding." Applied Mechanics and Materials 496-500 (January 2014): 1502–5. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1502.
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This paper introduces the design of a laser rangefinder ship collision avoidance warning system , laser distance sensor and two degrees of freedom PTZ constituted the system. the horizontal and vertical direction to achieve dynamic scanning . Real-time monitoring of the target vessel and the surrounding vessels ( obstructions ) distance , When entering the test vessel and the surrounding areas of the ship reaches the set distance of the minimum distance , alarm system achieve sound and light alarm for ship driver promptly adjusting the route for more time. Therefore reducing ship collisions happened.
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Gucma, Maciej. "Low Cost Ais System for Safe Navigation." Journal of Konbin 6, no. 3 (January 1, 2008): 235–46. http://dx.doi.org/10.2478/v10040-008-0070-2.
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Low Cost Ais System for Safe Navigation Automatic Identification System (AIS) ensures automatic transfer of information between sea going vessels and land based monitoring centers. AIS transceivers are obligatory on board vessels of 300 gross register tones and over. System supports safe navigation at confined and open areas, whilst on the former mentioned is especially helpful due to limited range of radar. Article presents low cost AIS system for small vessels and leisure crafts where AIS is not obligatory but might be valuable navigational aid. Some aspects concerning accuracy are presented as well.
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Ma, Qiang, Yu Na Miao, and Jiang Hua Sui. "Engine Room Monitoring System Design for Aging Vessels in Coastal Waters." Key Engineering Materials 480-481 (June 2011): 712–17. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.712.
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In order to improve the engine room monitoring level of aging ship in coastal waters, to reduce engineers’ work load and to improve the supervision of shipping companies, the present study designs an engine room monitoring system by using VC++ programming technique, SQL Sever database technology, CAN Bus and CDMA 2000 network. The system incorporates such functions as data collection, data storage, interface display and operation, as well as wireless transmission, etc. Application results show that the system is stable, easy to use and incurs a low modifying cost. It facilitates both engineers’ timely control of the engine room status and shipping companies’ uniform supervision of the vessel. Thus the efficiency is improved and ship’s safe navigation is ensured.
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Yamasaki, Toshiki, Kouzo Moritake, Mikio Takaya, Takato Kagawa, Hidemasa Nagai, Yasuhiko Akiyama, and Masako Kawahara. "Intraoperative use of Doppler ultrasound and endoscopic monitoring in the stereotactic biopsy of malignant brain tumors." Journal of Neurosurgery 80, no. 3 (March 1994): 570–74. http://dx.doi.org/10.3171/jns.1994.80.3.0570.
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✓ An intraoperative monitoring tool is described that prevents mechanical injury to intracerebral vessels during stereotactic surgery. The method, which combines pulse Doppler ultrasonography and fiberendoscopy, allowed stereotactic biopsy to be performed without serious intracerebral bleeding in 25 patients with hypervascular malignant brain tumors, 13 with glioblastoma multiforme, five with anaplastic astrocytoma, five with metastatic tumor, and two with malignant lymphoma. The ultrasound apparatus has a built-in fast-Fourier transformation system analyzer and an improved filtering system that provide real-time measurement of blood flow velocity. The source of flow (arterial or venous) could be identified by both real-time sonography and acoustic signal frequencies. It was possible to measure the size and distance of a vessel by adjusting the Doppler signal gain dial from initially waxing to waning sounds, because the acoustic signal was adjusted to the axial flow of each vessel in 0.1-mm steps. Each of three Doppler probes (1 mm, 2 mm, and 3 mm in diameter) fit through the outer cannula of the biopsy needle. Vessels located within 7 mm from the tip of these probes could be detected easily and rapidly, so the biopsy needle could be advanced safely to the desired target in 7-mm steps. If sonograms revealed blood flow, indicating the presence of larger vessels in the intended stereotactic trajectory, the angle of the needle was changed slightly to avoid vascular injury. Because the fiberendoscope was connected to a video processor, the vessel could be visualized at a higher magnification on the video display, unless there was active bleeding. This technically simple and reliable system enhances operative safety while maintaining accuracy.
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Panić, Ivan, Jasmin Ćelić, and Aleksandar Cuculić. "Wireless Condition Monitoring of Machinery and Equipment in Maritime Industry." Pomorstvo 32, no. 2 (December 20, 2018): 201–10. http://dx.doi.org/10.31217/p.32.2.5.
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Seagoing vessels are highly complex systems. Major requirements of marine vessels are continuous running time and high production output. As such, these systems require high availability and reliability, and are dependent on preventive maintenance procedures. Development of diverse range of sensors, combined with overall reduction in price, enabled implementation of condition based maintenance in such systems. Large increases in fuel cost, environmental restrictions and further crew reduction are current trend in maritime industry. Considering marine sector emphasis on the reduction of fuel consumption, environmental restrictions, and reduction of crew size, implementation of condition based maintenance is favourable, especially with regard to lost man-hours. However, high initial cost of installation on moving vessels, necessary crew training and additional sensor maintenance inhibits implementation of condition based maintenance. Replacing wired monitoring system with wireless ship-board sensor network would mitigate the above mentioned problems. However, current research of wireless sensor networks is based on terrestrial installation. This paper analyses the application of wireless sensor network technology on board seagoing vessels. Practical engineering solutions, including sensor types, configurations and wireless network topologies have been identified and reviewed.
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Karetnikov, Vladimir, Sergey Shakhnov, and Aleksandra Ivanova. "Test water areas for testing technical means of unmanned water transport. The main directions of patenting the results of research and development." E3S Web of Conferences 244 (2021): 08005. http://dx.doi.org/10.1051/e3sconf/202124408005.
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The test water area is designed for testing, monitoring and navigation of unmanned surface vessel, both in offline mode and in remote control mode. The paper presents the results of the analysis of the thematic search for security documents (applications, patents for inventions and utility models, certificates for computer programs) in the field of testing of technical means of unmanned water transport. There are six groups of patents in this area: test water area; experimental (test) basin; method (technique) of the test (system, complex for tests); test device; test program; remote control (management, monitoring) of the vessel. The distribution of patent documents by type, years, and countries is presented. It was found that almost half of the selected patent documents are applications for inventions, and in 2017-2018, the largest number of protection documents were registered. It is revealed that the Republic of Korea patents the most inventions in this field of research and development, Chinese organizations take the lead in applications for inventions, and Russia mainly registers computer programs. The overall leadership in the development of technical means for the control, management and monitoring, as well as testing of unmanned surface vessels belongs to China. China actively patents its developments in such areas as “test methods” and “remote control, management and monitoring of an unmanned surface vessel”. Russia is a leader in the following areas: “programs for test water areas and experimental basins” and “programs for testing unmanned surface vessels”. The Republic of Korea is a leader in the field of “devices for testing unmanned surface vessels”.
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Needle, Coby L., and Rui Catarino. "Evaluating the effect of real-time closures on cod targeting." ICES Journal of Marine Science 68, no. 8 (June 13, 2011): 1647–55. http://dx.doi.org/10.1093/icesjms/fsr092.
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Abstract Needle, C. L., and Catarino, R. 2011. Evaluating the effect of real-time closures on cod targeting. – ICES Journal of Marine Science, 68: 1647–1655. Under its Conservation Credits scheme to reduce cod mortality, the Scottish Government has implemented a system of real-time closures (RTCs) since 2008. These are relatively small, temporarily closed areas (50–225 square nautical miles per RTC, closed for 21 d) that are triggered by high cod catches. An important step in evaluating their effectiveness is to determine the response of vessels to RTCs, because the conservation benefit would be reduced if vessels moved to areas of greater cod abundance following closures. Abundance indices from research-vessel surveys and commercial-vessel observer trips are combined to create a time- and space-dependent relative cod-importance index (RCII). Vessel monitoring system data from Scottish vessels fishing during 2008/2009 are used to construct RCII profiles for each vessel, which are then used to determine whether the areas to which vessels move have a higher or a lower RCII, and how far away they move when an RTC is activated. We show that the RCII of the areas moved to tends to be lower than that of the RTC and that vessels travel farther when moving away from a closure than when moving back after reopening. Although not conclusive, this result indicates that RTCs may impact beneficially on cod mortality.
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Buszman, Krystian, and Małgorzata Gloza. "Detection of Floating Objects Based on Hydroacoustic and Hydrodynamic Pressure Measurements in the Coastal Zone." Polish Maritime Research 27, no. 2 (June 1, 2020): 168–75. http://dx.doi.org/10.2478/pomr-2020-0038.
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AbstractThe development of coastal infrastructure and related maritime transport necessitatesthe intensification of vessel traffic monitoring. Navigation systems used in this research are traditionally based on the information transmitted by radio waves. Marine traffic safety requires constant supervision carried out by dedicated systems, the operation of which may be limitedby difficult environmental conditions. The possibilities of supporting navigation systems with underwater observation systems are explored here. The research was carried out using an underwater measurement system. Local disturbances of the hydroacoustic and hydrodynamic field from the moving vessels were analysed. The potential for identifying a moving vessel, for example for offshore infrastructure security purposes, is demonstrated.
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Bulletti, Andrea, Pietro Giannelli, Marco Calzolai, and Lorenzo Capineri. "An Integrated Acousto/Ultrasonic Structural Health Monitoring System for Composite Pressure Vessels." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 63, no. 6 (June 2016): 864–73. http://dx.doi.org/10.1109/tuffc.2016.2545716.
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Kim, Jungdae, Dong-Hyun Kim, Sharon Jiyoon Jung, Hyun-Ji Gil, Seung Zhoo Yoon, Young-Il Kim, and Kwang-Sup Soh. "Monitoring the primo vascular system in lymphatic vessels by using window chambers." Biomedical Optics Express 7, no. 4 (March 14, 2016): 1251. http://dx.doi.org/10.1364/boe.7.001251.
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Андрєєв, В’ячеслав Іванович, Олександр Ігорович Случак, Олег Федорович Прищепов, Олег Володимирович Щесюк, and Сергій Якович Яценко. "Система вібромоніторингу ДВЗ маломірних суден на базі Arduino." Aerospace technic and technology, no. 4sup1 (August 27, 2021): 150–57. http://dx.doi.org/10.32620/aktt.2021.4sup1.21.
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The problem of current monitoring of the state of an internal combustion engine is especially relevant for water transport. Usually, in complex systems for monitoring the state of the cylinder-piston group (CPG) of cargo ships, many indicator indicators are used, such as temperature, pressure, vibration. For small boats, such a complex system with integrated sensors is redundant. The purpose of this study is to develop a system for vibration monitoring of the state of internal combustion engines of small vessels based on the open-source platform Arduino Uno with data transfer to cloud storage. In the article, the authors have developed a connection diagram and software for a vibration monitoring system for internal combustion engines of small vessels. The theoretical basis of the developed system is based on the FFT analysis technique based on the fast Fourier transform. The developed design is based on the Arduino Uno microcircuit. The data transfer takes place using the ESP8266 Wi-Fi module for real-time output on the Django server and storage in Google Sheets. The choice of such a system is due both to the need for the existence of a system for the current display of indicator parameters with the establishment of the nature of malfunctions and signaling of critical operating modes, and the need for the accumulation of scientific data for researching the operating mode of the engine. It will be useful for scientists and designers of ICEs of small vessels. It has been established that the use of the modular Arduino system will make it possible to vary the properties of the vibration monitoring system within a wide range by using various types of sensors (KY-038 and LM393). The method of data transmission of the vibration monitoring system at the software level has been improved by using software blocks from three open-source projects based on Arduino. The developed scheme can be developed for use in vehicles, as well as monitoring of other types of engines. This can become the basis for the accumulation of data, which will make it possible to more accurately diagnose deviations in the operation of the internal combustion engine of small vessels based on general statistics, and not only data from one engine, as in similar systems for cargo ships.
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Park, Gee-Tae, HyoKon Kang, YoungJun Na, and SANGRAK LEE. "PSIV-6 A real-time monitoring system for composting of livestock manure." Journal of Animal Science 97, Supplement_3 (December 2019): 223–24. http://dx.doi.org/10.1093/jas/skz258.455.
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Abstract This study was conducted to measure major indices for composting of livestock manure using a real-time ICT equipment. The equipment can receive the data such as temperature, humidity, and electrical conductivity every minute from a compost. Collected data were stored in the server via the wireless sensor nodes and gateways, and automatically visualized to observe the status of compost as graphs. A total of 9 fixed ventilation type vessels (height, 200 cm; diameter, 30 cm; thickness, 2 cm) made of PVC material were designed to inject external air using a ring blower (KJB1-1500, KIJEONSA Co., Republic of Korea) through the vent at lower part of vessel. Cattle manure that piled approximately 75 kg into each vessel, with injecting external air as 15 L/min and the change of each factor was measured and recorded for 15 days. Sensors (5TE, METER Group Inc., USA) were put through holes at 20, 105, and 190 cm from the bottom of each vessel. The measured values were different depending on the position of the sensor. For example, at 17:00 on September 15, 2018, the humidity in the Vessel 1 was top 1.4 %, middle 47.7 %, and bottom 91.1 %. The electrical conductivity was top zero, middle 4.69 dS/m and bottom 13.24 dS/m, and the temperature was top 46.0 ℃, middle 31.7 ℃ and bottom was 22.9 ℃ at 13:15 on September 9, 2018. Because differences were detected by the measurement position in the same compost during the composting period, the location of the sensor was important for measurement of composting. Overall, continuous and real-time monitoring was possible to measure fermentation parameters during the composting process by the real-time ICT equipment. Therefore, this system can be utilized for monitoring for optimal livestock manure decomposition model.
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Tabi Fouda, Bernard Marie, Dezhi Han, Bowen An, Xiangzhi Chen, and Sixi Shen. "Design and Implementation of Software for Ship Monitoring System in Offshore Wind Farms." Modelling and Simulation in Engineering 2019 (December 2, 2019): 1–11. http://dx.doi.org/10.1155/2019/3430548.
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To improve the safety of vessels in the offshore wind farms, this paper develops the design and implementation of a multiclient monitoring system that is a ship monitoring system software (SMSS). The design is based on automatic identification system (AIS) and geographic information system (GIS). The data of the target ships around the offshore wind farm zone will be displayed on a GIS map and monitored in the implemented software system in real time. The localization method and the warning zone judgment algorithm are used to carry out the vessel position around the offshore wind farm area. The software system includes some unavoidable features, namely, AIS encoding and decoding and automatic sending of short messages to ships arriving in the warning area. The tests of the SMSS show that in real time, the software system performs properly by detecting the target ships around the warning zone and sends short messages to these ships, which makes the SMSS more effective and reliable.
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Ali, Aziah, Aini Hussain, and Wan Mimi Diyana Wan Zaki. "Segmenting Retinal Blood Vessels with Gabor Filter and Automatic Binarization." International Journal of Engineering & Technology 7, no. 4.11 (October 2, 2018): 163. http://dx.doi.org/10.14419/ijet.v7i4.11.20794.
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For timely diagnosis of retinal disease, routine retinal monitoring of people with high risk should be put in place. To assist the ophthalmologists in performing retinal analysis efficiently and accurately, numerous studies have been conducted to propose an automated retinal diagnosis system. One of the crucial steps for such a system is accurate detection of retinal blood vessels from retinal image. In this paper, we investigated the use of automatic binarization methods on pre-processed fundus image to detect retinal blood vessels. Three methods for binarization were investigated in this study, namely Otsu’s method, ISODATA and K-means clustering method. The resulting binarized output indicated good detection of large vessels but most of the smaller vessels were left undetected. To address this issue, Gabor wavelet filter was used to enhance the small blood vessel structures before binarization of the filter output. Combining the binary images from both binarization with and without Gabor filter resulted in significant improvement of the overall detection rate of the retinal blood vessels. The proposed method proved to be comparable to other unsupervised techniques in the literature when validated using the publicly available fundus image database, DRIVE.
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Yastrebov, Dmitry Pavlovich, Dmitry Vladimirovich Shunkin, Alexey Olegovich Rogozhnikov, and Gleb Valerievich Kuznetsov. "On question of using zinc electrodes for monitoring cathodic protection of ships and vessels." Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 2021, no. 2 (May 31, 2021): 16–23. http://dx.doi.org/10.24143/2073-1574-2021-2-16-23.
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The article focuses on the importance of organizing the ship operators training, who control the operation of systems protecting the sea vessels from corrosion. There are presented the results of a scientific research - control of the operation of the tread protection system of the steel hull of an auxiliary marine vessel (floating workshop PM-15), which is in a long-term standby mode. The potential difference between the ship's hull and two reference electrodes was measured at a given control point. The control measurements have been carried out using the reference electrodes: silver chloride reference electrode recommended for use by regulatory documents and zinc reference electrodes (not recommended by regulatory documents for sea vessels). There have been made 50 parallel control measurements. The time interval between parallel measurements was 5 seconds. Control measurements were performed within 5 days from 07.02.2020 to 07.14.2020. The accuracy of the control measurements was assessed in accordance with regulatory requirements. It has been stated that both reference electrodes provide high accuracy of control measurements; the results of control carried out with the help of zinc reference electrodes are highly stable. It has been inferred that zinc reference electrodes can be used on Russian ships to control the tread protection of the ship's hull and can be recommended for using by ship crews for training ship operators of ship corrosion protection systems.
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L, Manisha N., and Silpa P. A. "Fuel Spill Monitoring for Fishing Smack using Raspberry Pi." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (July 30, 2021): 75–80. http://dx.doi.org/10.35940/ijrte.b6170.0710221.
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Fuel spill monitoring for fishing smacks is a live fuel leak detector that can alert the vessel's crew and captain about the leakage by using a web camera connected to a Raspberry Pi. The fuel spill was resolved using the Convolution Neural Network (CNN). Also, the Coast Guard and the Environmental Protection Agency were informed about the location of the oil discharge through telegrams. Here, a picture of the spill, as well as its latitude and longitude, a live Google map location, and a no spill picture with a GPS location whenever the spillage stops, will be shared. As a result, the team could take immediate action without delay. This spill detection system is linked to an accident detection system. Hence, we can safeguard fishing vessels and marine activities without any harm to human kind, as well as to the living beings in the sea.
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Snapir, Boris, Toby Waine, and Lauren Biermann. "Maritime Vessel Classification to Monitor Fisheries with SAR: Demonstration in the North Sea." Remote Sensing 11, no. 3 (February 11, 2019): 353. http://dx.doi.org/10.3390/rs11030353.
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Integration of methods based on satellite remote sensing into current maritime monitoring strategies could help tackle the problem of global overfishing. Operational software is now available to perform vessel detection on satellite imagery, but research on vessel classification has mainly focused on bulk carriers, container ships, and oil tankers, using high-resolution commercial Synthetic Aperture Radar (SAR) imagery. Here, we present a method based on Random Forest (RF) to distinguish fishing and non-fishing vessels, and apply it to an area in the North Sea. The RF classifier takes as input the vessel’s length, longitude, and latitude, its distance to the nearest shore, and the time of the measurement (am or pm). The classifier is trained and tested on data from the Automatic Identification System (AIS). The overall classification accuracy is 91%, but the precision for the fishing class is only 58% because of specific regions in the study area where activities of fishing and non-fishing vessels overlap. We then apply the classifier to a collection of vessel detections obtained by applying the Search for Unidentified Maritime Objects (SUMO) vessel detector to the 2017 Sentinel-1 SAR images of the North Sea. The trend in our monthly fishing-vessel count agrees with data from Global Fishing Watch on fishing-vessel presence. These initial results suggest that our approach could help monitor intensification or reduction of fishing activity, which is critical in the context of the global overfishing problem.
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Angelidaki, I., J. E. Schmidt, L. Ellegaard, and B. K. Ahring. "An automatic system for simultaneous monitoring of gas evolution in multiple closed vessels." Journal of Microbiological Methods 33, no. 1 (June 1998): 93–100. http://dx.doi.org/10.1016/s0167-7012(98)00044-x.
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Ayyub, Bilal M., Mark Kaminskiy, Phil R. Alman, Allen Engle, Bradley L. Campbell, and William L. Thomas. "Assessing the Probability of the Dynamic Capsizing of Vessels." Journal of Ship Research 50, no. 04 (December 1, 2006): 289–310. http://dx.doi.org/10.5957/jsr.2006.50.4.289.
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Current naval vessel design requirements for reduced signature may drive industry toward unconventional hull forms, such as the tumblehome, for some vessels. There is a critical need to develop a system-based approach to intact and damaged dynamic capsize assessment that addresses risk identification and mitigation strategies, such as design methodologies, onboard "smart systems" for operator guidance, real-time seaway monitoring for critical conditions, monitoring extreme seaway ship handling trainers, and probability-based tools for risk assessment. Development of a system-based approach will also improve ship safety and allow the development of unconventional ship designs that rely on a variety of systems, including inherent design characteristics for minimizing intact and damaged dynamic capsize risk. Avail-ability of new intact and damaged dynamic capsize design methods and risk mitigation technologies will benefit both industry and the US Navy by breaking through the barrier of empirical methodologies for stability assessment currently in use. In this paper, an innovative method for computing the probability of dynamic capsizing of vessels is provided. The computation can be based on numerical simulation data or experimental data. In this paper, the method is illustrated using numerical simulation data applied to a hypothetical vessel. The suggested method utilizes the time to capsizing as a primary random variable for assessing the resulting time-dependent probability. The method utilizes models from reliability analysis based on life data, including the Kaplan-Meier technique, and would enable engineers to examine the run duration of tests, plan future tests including test repetition needs, and interpolate and predict capsizing probabilities under operational conditions that are not tested. In addition, the method could offer a basis for developing a system-based approach to assessing intact and damaged stability, navigation guidance procedures, and future risk-based navigation systems that include the initial design of hull forms, navigation procedures including human factors, and stability criteria. The method developed in this paper is presented using numerical simulation results for one vessel for the purpose of illustration. The illustration of the method starts with computing the time-dependent capsizing probabilities under various operational conditions of speed, heading, and random wave characteristics, called operational cells. Then probability distributions were fitted to the data and used for prediction purposes to gain additional insights, make observations, and draw conclusions for additional work. The case study results also produced recommendations for future work.
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Mahacek, Paul, Ignacio Mas, Ognjen Petrovic, Jose Acain, and Christopher Kitts. "Cluster Space Control of Autonomous Surface Vessels." Marine Technology Society Journal 43, no. 1 (March 1, 2009): 13–20. http://dx.doi.org/10.4031/mtsj.43.1.2.
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AbstractMulti-robot systems offer many advantages over a single-robot system, including redundancy, coverage and flexibility. One of the key technical considerations in fielding multi-robot systems for real-world applications is the coordination of the individual units. The cluster space control technique promotes simplified specification and monitoring of the motion of mobile multi-robot systems. Previous work has established this approach and has experimentally verified its use for land-based systems consisting of 2-4 robots and with varying implementations ranging from automated trajectory control to human-in-the-loop piloting. In this paper, we describe the design and fabrication of a new low-cost autonomous surface vessel (ASV). The technical system includes a multi-boat system capable of autonomous navigation using the cluster space control technique. It also includes a centralized controller, currently implemented via a shore-based computer that wirelessly receives ASV data and relays drive commands. Using the cluster space control approach, these drive commands allow a pilot to remotely drive a two-ASV cluster or to specify that the two ASVs maintain formation with a third boat. The resulting multi-ASV clusters can be arbitrarily translated, rotated, and resized depending on the needs of a specific application. Experimental results demonstrating these capabilities are provided, and plans for future work are discussed.
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Shang, Jian Feng, Gang Tian, Yuan Zhi Liu, Guo Qing Xiao, De Cai Long, and De Zhi Zeng. "Research on Corrosion and Monitoring Methods of Pressure Vessels in Sulfur-Containing Natural Gas Purification Plants." Advanced Materials Research 549 (July 2012): 655–59. http://dx.doi.org/10.4028/www.scientific.net/amr.549.655.
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Pressure vessels in high sulfur-containing natural gas purification plants are likely corroded in acid media. Corrosion monitoring and control must be carried out to ensure safety and efficiency of purification system. So corrosion cause and service characters of pressure vessels in the purification plants were analyzed in this paper. The factors which influence pressure vessels corrosion include acid gas load, flow rate, phase state, temperature, heat-stable salts and degradation products. Then adaptability, advantages and disadvantages of the methods such as weight loss hanging slice method, electrochemical monitoring, ultrasonic thickness measurement, etc. were also analyzed in the paper. The results show that current on - line corrosion monitoring methods are hard to be applied in high sulfur-containing natural gas purification plants. Weight loss hanging slice method is an effective approach for pressure vessels corrosion monitoring. The data obtained are reliable and the investment is relatively lower. Based on characteristics of different technology units, corrosion coupon monitoring scheme is established. The research result provides a solid base for ensuring safe operation of high sulfur-containing natural gas purification plants.
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Aanes, Sondre, Kjell Nedreaas, and Sigbjørn Ulvatn. "Estimation of total retained catch based on frequency of fishing trips, inspections at sea, transhipment, and VMS data." ICES Journal of Marine Science 68, no. 8 (May 2, 2011): 1598–605. http://dx.doi.org/10.1093/icesjms/fsr117.
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Abstract Aanes, S., Nedreaas, K., and Ulvatn, S. 2011. Estimation of total retained catch based on frequency of fishing trips, inspections at sea, transhipment, and VMS data. – ICES Journal of Marine Science, 68: 1598–1605. The satellite-based vessel monitoring system in the Norwegian Economic Zone provides detailed information about individual trips by vessels. Vessel sizes are available through official registries, and the storage capacity for fish is estimated using the established conversion factors as a function of the vessel's gross registered tonnage. Scientists have had access to the database of both transport and fishing vessels, with records for individual trips, in addition to information about the total round weight (whole fish) of cod and haddock for trips inspected by the coastguard. The analysis assumes that trips with complete documentation of the fish on board are a random sample, so allowing estimation of the mean amount of both cod and haddock per trip, and annual totals give the number of trips per vessel annually. ICES has accepted this methodology for estimating illegal, unregulated, and unreported (IUU) catches, which has resulted in 15 000–166 000 t (3–35%) being added to the officially reported landings of Northeast Arctic cod during the years 2002–2008. IUU landings have decreased in recent years, but are so important for assessment and management that estimates continue to be made annually.
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Breen, Patricia, Koen Vanstaen, and Robert W. E. Clark. "Mapping inshore fishing activity using aerial, land, and vessel-based sighting information." ICES Journal of Marine Science 72, no. 2 (July 2, 2014): 467–79. http://dx.doi.org/10.1093/icesjms/fsu115.
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Abstract Information on the distribution and intensity of inshore fishing activity is needed to inform marine spatial planning and to assess fisheries interactions with the environment and other industries. Although fishing vessels under 15 m (overall length) account for 98.4% (2011 value) by the number of the European fleet, information on inshore fishing activity in Europe is very limited as there is no statutory satellite monitoring of smaller vessels (<15 m length before 2012, <12 m thereafter). Here, we develop, present, and apply a method which uses sightings-per-unit-effort (SPUE) estimates calculated from fisheries enforcement data to describe the distribution and intensity of inshore fishing activity off the coasts of England and Wales. For the larger inshore vessels, the SPUE estimates of activity were validated with vessel monitoring system (VMS) data and showed good agreement at the scale of analysis. Fishing activity estimates from SPUE are presented with an assessment of uncertainty, to account for spatial differences in enforcement activity. Our estimates of the distribution and intensity of inshore fishing activity and will complement estimates of offshore fishing activity based on VMS.
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Bertrand, Sophie, Julian M. Burgos, François Gerlotto, and Jaime Atiquipa. "Lévy trajectories of Peruvian purse-seiners as an indicator of the spatial distribution of anchovy (Engraulis ringens)." ICES Journal of Marine Science 62, no. 3 (January 1, 2005): 477–82. http://dx.doi.org/10.1016/j.icesjms.2004.12.002.
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Abstract Analogous to other top predators foraging on patchy resources, the spatial behaviour of fishers provides information on the spatial organization of fish. Focusing on the Peruvian anchovy purse-seine fishery, vessel monitoring system data are used to describe fishing vessels' trajectories, and acoustic survey data to characterize anchovy spatial distribution. Vessel trajectories were analysed in terms of move-length distribution, whereas fish distribution was characterized by spatial extent, concentration, and fractal dimension. Fishers perform Lévy flights that can be characterized by a single statistic (μ); μ is significantly correlated with the fractal dimension of fish distribution. It is argued that the Lévy statistic is a good candidate for an ecosystem indicator that might contribute to real-time monitoring of ecosystems.
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Marichal, Graciliano, Deivis Ávila, Ángela Hernández, Isidro Padrón, and Cristina Castejón. "Feature Extraction from Indirect Monitoring in Marine Oil Separation Systems." Sensors 18, no. 9 (September 19, 2018): 3159. http://dx.doi.org/10.3390/s18093159.
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In this article, a study of characteristic vibrations of marine oils separation system is presented. Vibrations analysis allows for the extraction of representative features that could be related to the lifetime of their pieces. Actual measurements were carried out on these systems on Ro-Pax vessels to transport passengers and freight. The vibrations obtained were processed in the frequency domain and following this, they were used in a Genetic Neuro-Fuzzy System in order to design new predictive maintenance strategies. The obtained results show that these techniques as a promising strategy can be utilized to determine incipient faults.
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Matasci, G., J. Plante, K. Kasa, P. Mousavi, A. Stewart, A. Macdonald, A. Webster, and J. Busler. "DEEP LEARNING FOR VESSEL DETECTION AND IDENTIFICATION FROM SPACEBORNE OPTICAL IMAGERY." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2021 (June 17, 2021): 303–10. http://dx.doi.org/10.5194/isprs-annals-v-3-2021-303-2021.
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Abstract. We present a deep learning-based vessel detection and (re-)identification approach from spaceborne optical images. We introduce these two components as part of a maritime surveillance from space pipeline and present experimental results on challenging real-world maritime datasets derived from WorldView imagery. First, we developed a vessel detection model based on RetinaNet achieving a performance of 0.795 F1-score on a challenging multi-scale dataset. We then collected a large-scale dataset for vessel identification by applying the detection model on 200+ optical images, detecting the vessels therein and assigning them an identity via an Automatic Identification System association framework. A vessel re-identification model based on Twin neural networks has then been trained on this dataset featuring 2500+ unique vessels with multiple repeated occurrences across different acquisitions. The model allows to naturally establish similarities between vessel images. It returns a relevant ranking of candidate vessels from a database when provided an input image for a specific vessel the user might be interested in, with top-1 and top-10 accuracies of 38.7% and 76.5%, respectively. This study demonstrates the potential offered by the latest advances in deep learning and computer vision when applied to optical remote sensing imagery in a maritime context, opening new opportunities for automated vessel monitoring and tracking capabilities from space.
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Ward, N. "Monitoring the Integrity of GNSS." Journal of Navigation 47, no. 2 (May 1994): 181–90. http://dx.doi.org/10.1017/s0373463300012108.
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The purpose of the study on which this paper is based was to establish whether there was a maritime requirement for a Global Navigation Satellite System (GNSS) integrity monitoring and warning service in UK and Irish waters, and, if so, how best it could be established and operated.The scope of the study extended to all maritime users: merchant ships; fishing vessels; pleasure craft; and all aspects of the voyage: harbour/harbour approach; coastal and ocean passage.It has been assumed that the United States Global Positioning System (GPS) would be the system adopted, since it is the closest to an operational state. However, most of the technical considerations would apply equally to the Russian GLONASS or any future replacement system under international control.The views expressed are those of the author, and should not be taken to represent the policies of the Department of Transport or any of the other bodies mentioned.
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Tschirschwitz, F., K. Mechelke, H. Jansch, and T. P. Kersten. "MONITORING AND DEFORMATION ANALYSIS OF GROYNES USING TLS AT THE RIVER ELBE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 917–24. http://dx.doi.org/10.5194/isprsarchives-xli-b5-917-2016.
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To enter the Port of Hamburg, one of Europe’s busiest ports all vessels need to navigate around 145 km along the Elbe river, a tide influenced navigation channel. To protect the Elbe shoreline from erosion and to channel the waterway groynes (rigid hydraulic structures) have been built along the river. In the past years since ca. 2001 there has been a large increase in damage of groynes structural integrity at parts of the German waterways. The reason for this was determined in the ever growing size of container vessels passing by and inducing long periodical primary waves which have such a force that they erode the groynes rock structure. To analyse and improve the groynes structural resistance for vessel-induced long periodical wave loads an in-situ study is carried out at Juelssand, located at the Elbe river estuary. Over a period of two years the change of the geometrical structure of two different groyne shapes is monitored automatically by utilising two terrestrial laser scanners mounted in protective housings, located each on a 12 m high platform. The self-contained monitoring systems perform scanning of the two groynes one to two times a day at low tide, as the structures are fully submerged at high tide. The long-periodical wave loads are also determined using pressure sensors in each groyne. To correlate the captured data with vessel events and analyse the effects, vessel related parameters are recorded utilizing the Automatic Identification System (AIS). <br><br> This paper describes the automated processes for the data acquisition and focusses on the deformation that is calculated using current, extended and new algorithms of the Point Cloud Library. It shows the process chain from the acquisition of raw scan files from an elevated station to the filtering of point cloud, the registration, the calculation of pointwise changes and the aggregation to a grid for later correlation with ship parameters. When working outdoor in all kinds of weather conditions, the processes and equipment need to be robust and account for various cases and situations. This is especially applicable for the algorithms, which need to be adaptable to different scenarios like wet surfaces or snow and unwelcome objects ranging from flotsam to birds sitting on the groyne. At the current stage of the research, deformation in the magnitude of a couple of decimetres is observable. The orientation and location of the deformation is on the seaward side and corresponds to the lower distance of vessels leaving the harbour.
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Tschirschwitz, F., K. Mechelke, H. Jansch, and T. P. Kersten. "MONITORING AND DEFORMATION ANALYSIS OF GROYNES USING TLS AT THE RIVER ELBE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 917–24. http://dx.doi.org/10.5194/isprs-archives-xli-b5-917-2016.
Full textAbstract:
To enter the Port of Hamburg, one of Europe’s busiest ports all vessels need to navigate around 145 km along the Elbe river, a tide influenced navigation channel. To protect the Elbe shoreline from erosion and to channel the waterway groynes (rigid hydraulic structures) have been built along the river. In the past years since ca. 2001 there has been a large increase in damage of groynes structural integrity at parts of the German waterways. The reason for this was determined in the ever growing size of container vessels passing by and inducing long periodical primary waves which have such a force that they erode the groynes rock structure. To analyse and improve the groynes structural resistance for vessel-induced long periodical wave loads an in-situ study is carried out at Juelssand, located at the Elbe river estuary. Over a period of two years the change of the geometrical structure of two different groyne shapes is monitored automatically by utilising two terrestrial laser scanners mounted in protective housings, located each on a 12 m high platform. The self-contained monitoring systems perform scanning of the two groynes one to two times a day at low tide, as the structures are fully submerged at high tide. The long-periodical wave loads are also determined using pressure sensors in each groyne. To correlate the captured data with vessel events and analyse the effects, vessel related parameters are recorded utilizing the Automatic Identification System (AIS). <br><br> This paper describes the automated processes for the data acquisition and focusses on the deformation that is calculated using current, extended and new algorithms of the Point Cloud Library. It shows the process chain from the acquisition of raw scan files from an elevated station to the filtering of point cloud, the registration, the calculation of pointwise changes and the aggregation to a grid for later correlation with ship parameters. When working outdoor in all kinds of weather conditions, the processes and equipment need to be robust and account for various cases and situations. This is especially applicable for the algorithms, which need to be adaptable to different scenarios like wet surfaces or snow and unwelcome objects ranging from flotsam to birds sitting on the groyne. At the current stage of the research, deformation in the magnitude of a couple of decimetres is observable. The orientation and location of the deformation is on the seaward side and corresponds to the lower distance of vessels leaving the harbour.
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Fachruddin-Syah, Achmad, Jonson Lumban Gaol, Mukti Zainuddin, Nadela Rista Apriliya, Dessy Berlianty, and Dendy Mahabror. "Detection of Potential Fishing Zones of Bigeye Tuna (Thunnus Obesus) at Profundity of 155 m in the Eastern Indian Ocean." Indonesian Journal of Geography 52, no. 1 (April 28, 2020): 29. http://dx.doi.org/10.22146/ijg.43708.
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Remotely sensed data and habitat model approach were employed to evaluate the present of oceanographic aspect in the Bigeye tuna's potential fishing zone (PFZ) at a profundity of 155 m. Vessel monitoring system was employed to acquire the angling vessels for Bigeye tuna from January through December, 2015-2016. Daily data of sub-surface temperature (Sub_ST), sub-surface chlorophyll-a (Sub_SC), and sub-surface salinity (Sub_SS) were downloaded from INDESO Project website. Vessel monitoring system and environmental data were employed for maximum entropy (maxent) model development. The model predictive achievement was then estimated applying the area under the curve (AUC) value. Maxent model results (AUC>0.745) exhibited its probable to understand the Bigeye tuna's spatial dispersion on the specific sub-surface. In addition, the results also showed Sub_ST (43,1%) was the most affective aspect in the Bigeye tuna dispersion, pursued by Sub_SC (35,2%) and Sub_SS (21,6%).
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Ma, Ruixin, Yong Yin, Zilong Li, Jing Chen, and Kexin Bao. "Research on Active Intelligent Perception Technology of Vessel Situation Based on Multisensor Fusion." Mathematical Problems in Engineering 2020 (August 26, 2020): 1–9. http://dx.doi.org/10.1155/2020/9146727.
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In this paper, we focus on the safety supervision of inland vessels. This paper especially aims at studying the vessel target detection and dynamic tracking algorithm based on computer vision and the target fusion algorithm based on multisensor. For the vessel video target detection and tracking, this paper analyzes the current widely used methods and theories. Additionally, facing the application scenarios and characteristics of inland vessels, a comprehensive vessel video target detection algorithm is proposed in this paper. It is combined with a three-frame difference method based on Canny edge detection and a background subtraction method based on mixed Gaussian background modeling. Besides, for the multisensor target fusion, the processing method of laser point cloud data and automatic identification system (AIS) data is analyzed in this paper. Based on the idea of fuzzy mathematics, this paper proposes a method for calculating the fuzzy correlation matrix with normal membership function, which realizes the fusion of vessel track features of laser point cloud data and AIS data under dynamic video correction. Finally, through this method, a set of vessel situation active intelligent perception systems based on multisensor fusion was developed. Experiments show that this method has better environmental applicability and detection accuracy than traditional manual detection and any single monitoring method.
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Nerheim, Magnus S., and Amy L. Lusher. "Investigating microsized anthropogenic particles in Norwegian fjords using opportunistic nondisruptive sampling." Anthropocene Coasts 3, no. 1 (January 1, 2020): 76–85. http://dx.doi.org/10.1139/anc-2020-0002.
Full textAbstract:
Norwegian fjord systems provide a host of ecosystem services and are important for recreational and industrial use. The biodiversity of Norwegian fjords has been—and still is—extensively studied since they are important for fishing and aquaculture industries. However, threats from plastic and microplastic pollution within the fjord systems are largely undocumented. Monitoring efforts of microplastic in Norway are limited to coastal biota monitoring, offshore sediments, and some investigations within Oslofjord. Here, we quantify anthropogenic microparticles in Norwegian fjord subsurface waters, including an analysis of distribution effects. Fifty-two samples were collected during repeated transits from Bergen to Masfjorden covering 250 km. Anthropogenic particles were identified in 89% of samples, with an average abundance within the fjord estimated to be 1.9 particles m−3. This report shows the ubiquitous nature of anthropogenic particles in the subsurface waters of a Norwegian Fjord system. Additionally, methods were validated for opportunistic nondisruptive sampling on-board vessels where microplastics are seldom monitored, including research vessels, commercial freight and transport, and recreational vessels. Further development and implementation of these methods in terms of sampling, chemical characterisation, and long-term monitoring will allow for microplastic quantification and can be easily adapted for worldwide implementation.