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Scientists at the U.S. Navy have adopted a predator and prey tracking system to help them predict pirate activity. The system consists of replicates that provide pirate intel, along with environmental and meteorological data to predict pirate behavior.

Port and maritime studies dealing with containerization have observed traffic concentration and dispersion throughout the world. Globalization, intermodal transportation, and technological revolutions in the shipping industry have resulted in both network extension and rationalization. However, lack of precise data on inter-port relations prevent the application of wide network theories to global maritime container networks, which are often examined through case studies of specific firms or regions. This paper presents an analysis of the global liner shipping network in 1996 and 2006, a period of rapid change in port hierarchies and liner service configurations. While it refers to literature on port system development, shipping networks, and port selection, it is one of the only analyses of the properties of the global container shipping network. The paper analyzes the relative position of ports in the global network through indicators of centrality. The results reveal a certain level of robustness in the global shipping network. While transhipment hub flows and gateway flows might slightly shift among nodes in the network, the network properties remain rather stable in terms of the main nodes polarizing the network and the overall structure of the system. Additionally, mapping the changing centrality of ports confirms the impacts of global trade and logistics shifts on the port hierarchy and indicates that changes are predominantly geographic.

Salvors Adjusting Hoegh Osaka's Ballast System.

Salvors Adjusting Hoegh Osaka's Ballast System.

Accurate and rapid detection and assessment of tsunamis in the open ocean is critical for predicting how they will impact distant coastlines, enabling appropriate mitigation efforts. Scientists from SOEST are using commercial ships operating in the North Pacific to construct a network of low-cost tsunami sensors to augment existing detection systems.

CMA CGM orders BIO-SEA ballast water systems for 17 containerships.

Countering the 'Pirates' Paradise': Unmanned Systems and Marine Security in Southeast Asia.

VTT Technical Research Centre of Finland is developing safe steering for the remote-monitored and controlled autonomous ships of the future. The new technology has been developed for navigation systems and ship autopilots, which steer ships automatically.

Through the use of NOAA'S' Physical Oceanographic Real-Time System (PORTS®), super-sized ships coming through the recently expanded Panama Canal can now more safely and efficiently enter the Miami seaport. In addition to the improved vessel safety, past NOAA studies have shown that a PORTS system, like the one dedicated by NOAA and PortMiami officials today, can provide considerable economic benefit to the local community. Already one of the busiest ports in the world, Miami's harbor supports over a hundred thousand jobs while providing billions to the national economy.

AI System Tested by Tokyo Bay Vessel Traffic Controllers.

Free space optical system could provide alternative to traditional radio frequency system

E.U. Emissions Trading System Excludes Shipping, For Now.

U.K. Develops Autonomous Systems Code of Practice.

China has deployed a network of sensors and communications capabilities between Hainan Island and the Paracel Islands in the northern South China Sea. These capabilities are part of a "Blue Ocean Information Network" (蓝海信息网络) developed by China Electronics Technology Group Corporation (CETC), a state-owned company, to aid in the exploration and control of the maritime environment using information technology. The network constructed in the northern South China Sea between early 2016 and 2019 is referred to as a demonstration system. However, future plans for the Blue Ocean Information Network involve expanding the sensor and communications network to the rest of the South China Sea, the East China Sea, and other ocean areas far from Chinese territory. While the Blue Ocean Information Network is largely cast as an environmental monitoring and communications system, the military utility of its sensing and communications functions makes its development important to monitor.

Between the pandemic, an aging fleet, and political flux, Alaska's far-reaching ferry system has fallen on hard times.

New research from a team at the World Maritime University (WMU) underlines systemic failures in the implementation of the regulatory regime for seafarers' hours of work and rest, undermining the credibility of international regulations relating to working hours.

Technology group Wärtsilä will supply an integrated hybrid propulsion system for two new hybrid RoRo vessels. The ships are being built at the China Merchants Jinling shipyard (Weihai) Co., Ltd for the Swedish shipping company Stena RoRo. The ships will be the world's first methanol fuelled hybrid RoRo vessels and will operate in the Stena Line Irish Sea system. The combination of new sustainable fuels and electrification is in line with the company's sustainable operations target. Part of the order was booked by Wärtsilä in Q2 2023, while the remaining order was booked in Q3 2023.

Maritime high-speed over-the-horizon wireless communication is realizable through evaporation ducts. Detailed measurement, analysis, and modeling of duct channels are essential for application of this communication technique. In this paper, X-band electromagnetic (EM) wave propagation systems were developed and deployed for a 133-km over-the-horizon microwave link in coastal areas of the Yellow Sea. The propagation length was 7.7 times the line-of-sight length. Measurement results including the path loss (PL) and meteorological data were obtained during a 54-day period in autumn 2021. The long-term channel results were analyzed on the basis of statistical analysis and model simulations. Results showed that our measurement system, with a maximum measurable power loss of 200 dB, had connected with a probability of 56.2% during the measurement period. Model simulation showed that evaporation duct environments are not ideal in autumn, with an average evaporation duct height (EDH) of 10.6 m. The land breeze in autumn introduced dry and cold air to the link, which could promote evaporation of seawater and reduce PL by approximately 40 dB. Annual spatiotemporal characteristics of EDH showed that evaporation ducts are most suitable for over-the-horizon communication in spring, especially May.

The in-band full-duplex underwater acoustic communication (IBFD-UWAC) mode has twice the information throughput of the traditional half-duplex communication mode, significantly increasing the communication efficiency. Extracting the weak desired signal from the high-power self-interference signal without distortion remains a challenging problem in implementing IBFD-UWAC systems. This paper proposes a spatial-digital joint self-interference cancellation (SDSIC) method for IBFD-UWAC. We first perform spatial self-interference cancellation (SSIC) and propose an improved wideband constant-beamwidth beamformer to overcome the problem of direction- and array-dependent interference in IBFD-UWAC systems. Convex optimization is used to maintain a constant beam response in the main flap and cancel the self-interference signal from a fixed direction, thus increasing the signal-to-interference ratio of the desired signal. Subsequently, we perform digital self-interference cancellation (DSIC) on the residual self-interference signal, and propose a variable-step-size least-mean-squares algorithm based on the spatial noise threshold. This algorithm modifies the least-mean-squares step-size adjustment criterion according to the noise level after SSIC and the desired signal, resulting in better DSIC. A series of simulations are implemented in a hardware-in-the-loop platform to verify the practicality and real-time performance of the proposed SDSIC method. The results show that the self-interference signal power can be reduced by 41.5 dB using the proposed method, an improvement of 13.5 dB over the conventional SIC method.

For decades, the shipping sector has been incorporated into the global decarbonization process. At present, global shipping - as a whole - aims to reduce its emission levels by 40 % by 2030 in relation to the 2008 level. In reducing greenhouse gas emissions, regulations such as the MARPOL 73/78 Convention and Energy Efficiency Design Index as well as other monitoring and managing schemes already in operation (e.g., Ship Energy Efficiency Management Plan and Energy Efficiency Operational Indicator) play a crucial role in measuring fuel consumption and ship engine emission output. Energy Efficiency Existing Ship Index (EEXI) is another measure, projected to be ratified in 2023, in-line with decarbonization targets in which the International Maritime Organization has planned a 70 % reduction in emissions level by 2050 using the same 2008 baseline. For this to happen, ship speed may need to be reduced, a decrease of fleet capacity may also need to be considered, and new ships may need to replace older ones already in service. The costs of implementing these types of reforms are obviously significant to the sector. Such change will augment the overall shipping overhead, effecting subsequent transportation and consumer costs. This paper aims to specify the scale of the expected costs of implementing EEXI globally. The current maritime fleet has been analyzed in terms of energy demand, deadweight tonnage, and expected CO2 emission reduction marginal abatement costs (MAC). Two pathways to achieve the desired EEXI values are presented, including the most common and available technologies to reduce demand. These technologies are subjected to MAC valuation and presented quantitatively for the world fleet. The research also investigates alternative fuel options in regard to lessening the CO2 impact, developing wind support systems, and avoiding conventional advancements to ships (e.g., upgrading the propeller or the propulsion system). At length, the target of the work is t

The escalating greenhouse gas (GHG) emissions from maritime trade present a serious environmental and biological threat. With increasing emission reduction initiatives, such as the European Union's incorporation of the maritime sector into the emissions trading system, both challenges and opportunities emerge for maritime transport and associated industries. To address these concerns, this study presents a model specifically designed for estimating and projecting the spatiotemporal GHG emission inventory of ships, particularly when dealing with incomplete automatic identification system datasets. In the computational aspect of the model, various data processing techniques are employed to rectify inaccuracies arising from incomplete or erroneous AIS data, including big data cleaning, ship trajectory aggregation, multi-source spatiotemporal data fusion and missing data complementation. Utilizing a bottom-up ship dynamic approach, the model generates a high-resolution GHG emission inventory. This inventory contains key attributes such as the types of ships emitting GHGs, the locations of these emissions, the time periods during which emissions occur, and emissions. For predictive analytics, the model utilizes temporal fusion transformers equipped with the attention mechanism to accurately forecast the critical emission parameters, including emission locations, time frames, and quantities. Focusing on the sea area around Tianjin port-a region characterized by high shipping activity-this study achieves fine-grained emission source tracking via detailed emission inventory calculations. Moreover, the prediction model achieves a promising loss function of approximately 0.15 under the optimal parameter configuration, obtaining a better result than recurrent neural network (RNN) and long short-term memory network (LSTM) in the comparative experiments. The proposed method allows for a comprehensive understanding of emission patterns across diverse vessel types under vari