Both China and Indonesia are influential maritime powers in the Asia-Pacific region.Strengthening practical maritime cooperation is highly significant to both sides as an important component of comprehensive strategic...Both China and Indonesia are influential maritime powers in the Asia-Pacific region.Strengthening practical maritime cooperation is highly significant to both sides as an important component of comprehensive strategic cooperation.Maritime cooperation has become a prominent part of the“five pillar”cooperation framework between the two countries alongside political,economic,people-to-people exchange,and security,playing a positive role in elevating the China-Indonesia comprehensive strategic partnership to a higher level.展开更多
With the boom in maritime activities,the need for highly reliable maritime communication is becoming urgent,which is an important component of 5G/6G communication networks.However,the bandwidth reuse characteristic of...With the boom in maritime activities,the need for highly reliable maritime communication is becoming urgent,which is an important component of 5G/6G communication networks.However,the bandwidth reuse characteristic of 5G/6G networks will inevitably lead to severe interference,resulting in degradation in the communication performance of maritime users.In this paper,we propose a safe deep reinforcement learning based interference coordination scheme to jointly optimize the power control and bandwidth allocation in maritime communication systems,and exploit the quality-of-service requirements of users as the risk value references to evaluate the communication policies.In particular,this scheme designs a deep neural network to select the communication policies through the evaluation network and update the parameters using the target network,which improves the communication performance and speeds up the convergence rate.Moreover,the Nash equilibrium of the interference coordination game and the computational complexity of the proposed scheme are analyzed.Simulation and experimental results verify the performance gain of the proposed scheme compared with benchmarks.展开更多
In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shippi...In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.展开更多
The blue economy encompasses all economic activities related to oceans,seas,and coastal resources,emphasizing sustainable development that balances ecological health with economic growth.It includes sectors such as fi...The blue economy encompasses all economic activities related to oceans,seas,and coastal resources,emphasizing sustainable development that balances ecological health with economic growth.It includes sectors such as fisheries,maritime trade,coastal tourism,renewable energy,and marine biotechnology.For China and ASEAN,the blue economy represents not only a source of substantial economic potential but also a crucial domain for addressing shared challenges such as resource sustainability,ecological conservation,and climate resilience.展开更多
1 Introduction The Maritime Silk Road, once a historic network of trade routes that connected continents and facilitated centuries of cultural and economic exchange, has become a region of profound scientific importan...1 Introduction The Maritime Silk Road, once a historic network of trade routes that connected continents and facilitated centuries of cultural and economic exchange, has become a region of profound scientific importance. Stretching from East Asia to Europe and Africa, its marine environments are among the most complex and dynamic on Earth. This region encompasses diverse geological settings, including tectonically active zones, varied sedimentary basins, and extensive continental shelves. These features make it a unique natural laboratory for studying various geological and geophysical processes.展开更多
With the rapid development of advanced networking and computing technologies such as the Internet of Things, network function virtualization, and 5G infrastructure, new development opportunities are emerging for Marit...With the rapid development of advanced networking and computing technologies such as the Internet of Things, network function virtualization, and 5G infrastructure, new development opportunities are emerging for Maritime Meteorological Sensor Networks(MMSNs). However, the increasing number of intelligent devices joining the MMSN poses a growing threat to network security. Current Artificial Intelligence(AI) intrusion detection techniques turn intrusion detection into a classification problem, where AI excels. These techniques assume sufficient high-quality instances for model construction, which is often unsatisfactory for real-world operation with limited attack instances and constantly evolving characteristics. This paper proposes an Adaptive Personalized Federated learning(APFed) framework that allows multiple MMSN owners to engage in collaborative training. By employing an adaptive personalized update and a shared global classifier, the adverse effects of imbalanced, Non-Independent and Identically Distributed(Non-IID) data are mitigated, enabling the intrusion detection model to possess personalized capabilities and good global generalization. In addition, a lightweight intrusion detection model is proposed to detect various attacks with an effective adaptation to the MMSN environment. Finally, extensive experiments on a classical network dataset show that the attack classification accuracy is improved by about 5% compared to most baselines in the global scenarios.展开更多
In offshore maritime communication sys-tems,base stations(BSs)are employed along the coastline to provide high-speed data service for ves-sels in coastal sea areas.To ensure the line-of-sight propagation of BS-vessel ...In offshore maritime communication sys-tems,base stations(BSs)are employed along the coastline to provide high-speed data service for ves-sels in coastal sea areas.To ensure the line-of-sight propagation of BS-vessel links,high transceiver an-tenna height is required,which limits the number of geographically available sites for BS deployment,and imposes a high cost for realizing effective wide-area coverage.In this paper,the joint user association and power allocation(JUAPA)problem is investigated to enhance the coverage of offshore maritime systems.By exploiting the characteristics of network topology as well as vessels’motion in offshore communica-tions,a multi-period JUAPA problem is formulated to maximize the number of ships that can be simultane-ously served by the network.This JUAPA problem is intrinsically non-convex and subject to mixed-integer constraints,which is difficult to solve either analyt-ically or numerically.Hence,we propose an iterative augmentation based framework to efficiently select the active vessels,where the JUAPA scheme is iteratively optimized by the network for increasing the number of the selected vessels.More specifically,in each itera-tion,the user association variables and power alloca-tion variables are determined by solving two separate subproblems,so that the JUAPA strategy can be up-dated in a low-complexity manner.The performance of the proposed JUAPA method is evaluated by exten-sive simulation,and numerical results indicate that it can effectively increase the number of vessels served by the network,and thus enhances the coverage of off-shore systems.展开更多
The Madden-Julian Oscillation(MJO)is a key atmospheric component connecting global weather and climate.It func-tions as a primary source for subseasonal forecasts.Previous studies have highlighted the vital impact of ...The Madden-Julian Oscillation(MJO)is a key atmospheric component connecting global weather and climate.It func-tions as a primary source for subseasonal forecasts.Previous studies have highlighted the vital impact of oceanic processes on MJO propagation.However,few existing MJO prediction approaches adequately consider these factors.This study determines the critical region for the oceanic processes affecting MJO propagation by utilizing 22-year Climate Forecast System Reanalysis data.By intro-ducing surface and subsurface oceanic temperature within this critical region into a lagged multiple linear regression model,the MJO forecasting skill is considerably optimized.This optimization leads to a 12 h enhancement in the forecasting skill of the first principal component and efficiently decreases prediction errors for the total predictions.Further analysis suggests that,during the years in which MJO events propagate across the Maritime Continent over a more southerly path,the optimized statistical forecasting model obtains better improvements in MJO prediction.展开更多
With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges in document answer precisio...With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges in document answer precision and similarity measurement. This study, set against the backdrop of the shipping industry, combines top-down and bottom-up schema design strategies to achieve precise and flexible knowledge representation. The research adopts a semi-structured approach, innovatively constructing an adaptive schema generation mechanism based on reinforcement learning, which models the knowledge graph construction process as a Markov decision process. This method begins with general concepts, defining foundational industry concepts, and then delves into abstracting core concepts specific to the maritime domain through an adaptive pattern generation mechanism that dynamically adjusts the knowledge structure. Specifically, the study designs a four-layer knowledge construction framework, including the data layer, modeling layer, technology layer, and application layer. It draws on a mutual indexing strategy, integrating large language models and traditional information extraction techniques. By leveraging self-attention mechanisms and graph attention networks, it efficiently extracts semantic relationships. The introduction of logic-form-driven solvers and symbolic decomposition techniques for reasoning significantly enhances the model’s ability to understand complex semantic relationships. Additionally, the use of open information extraction and knowledge alignment techniques further improves the efficiency and accuracy of information retrieval. Experimental results demonstrate that the proposed method not only achieves significant performance improvements in knowledge graph retrieval within the shipping domain but also holds important theoretical innovation and practical application value.展开更多
In recent years,with the increasing frequency of global Marine activities,the occurrence probability of Marine accidents and emergencies has also increased.As a new technical means,small unmanned aerial vehicles(UAVs)...In recent years,with the increasing frequency of global Marine activities,the occurrence probability of Marine accidents and emergencies has also increased.As a new technical means,small unmanned aerial vehicles(UAVs)have shown great application potential in Marine search and rescue activities.In Marine search and rescue activities,small UAVs can quickly arrive at the scene of the accident and carry out efficient information collection and monitoring under its simple and flexible operation.Compared with traditional search and rescue methods,small UAVs can cover a wider area,provide more detailed and accurate on-site information,provide strong support for search and rescue decision-making,and thus improve the quality and efficiency of maritime rescue.In this regard,this paper first describes the application advantages of small UAVs in Marine search and rescue activities and then puts forward effective application paths,to provide some references for relevant researchers.展开更多
Sustainability is a concept for achieving integration and balance in development to preserve and use resources properly by providing new solutions to overcome structural,social and economic misconceptions to prevent f...Sustainability is a concept for achieving integration and balance in development to preserve and use resources properly by providing new solutions to overcome structural,social and economic misconceptions to prevent further degradation and waste of natural resources and create a better future for human societies.Sustainable development can be defined as a strategy for the correct use of resources,by modifying and redefining consumption patterns and avoiding one-sided development approaches.Therefore,sustainable development is defined as a long-term and unlimited solution for aligning different concepts(social,economic,and environmental),seemingly independent but related and influencing each other.This paper examines the challenges and capacities of the Oman Maritime Community and Maritime Energy Management's role in terms of sustainable development.To analyze this issue,the role of key players in Oman's maritime industry,such as the Oman Fisheries Company and the Oman Shipping Company,has been studied with the five main indicators of sustainable development goals,including people,the planet,peace,welfare,and partnership.展开更多
Maritime public diplomacy is needed to assist in implementing China’s maritime power strategy and joint construction of the 21st Century Maritime Silk Road.As a part of major country diplomacy with Chinese characteri...Maritime public diplomacy is needed to assist in implementing China’s maritime power strategy and joint construction of the 21st Century Maritime Silk Road.As a part of major country diplomacy with Chinese characteristics in the new era,China’s maritime public diplomacy follows the concept of building the maritime community with a shared future,and aims to explain China’s maritime strategy,strengthen maritime cooperation,expand the blue circle of friends,spread China’s traditional marine culture,and enhance blue soft power.Since Chinese government departments,coastal cities,central enterprises,mainstream media,and think tanks are politically reliable and can easily coordinate with each other,a"five in one"layout of maritime public diplomacy could allow them work together in the maritime field.展开更多
In order to improve the efficiency and safety of search and rescue(SAR)at sea,this paper proposes a kind of emergency rapid rescue unmanned craft(air-dropped unmanned maritime motorized search and rescue platform)that...In order to improve the efficiency and safety of search and rescue(SAR)at sea,this paper proposes a kind of emergency rapid rescue unmanned craft(air-dropped unmanned maritime motorized search and rescue platform)that can be delivered by a large transport aircraft.This paper studies the structural design scheme of the platform,and the main scale of the platform,the choice of power system and the impact resistance performance are considered in the design process to ensure its rapid response and effective rescue capability under complex sea conditions.Simulation results show that the platform can withstand the impact of air injection into the water and the shipboard equipment can operate normally under the impact load,thus verifying the feasibility and safety of the design.This study serves to improve the maritime search and rescue system and enhance the oceanic emergency response capability.展开更多
This paper summarizes the requirements for modem maritime wireless communication networks in the marine environments including the sea- to-sea and sea-to-shore communication scenarios. The existing maritime wireless c...This paper summarizes the requirements for modem maritime wireless communication networks in the marine environments including the sea- to-sea and sea-to-shore communication scenarios. The existing maritime wireless communication sys- tems are presented and the development of the state-of-the-art maritime communication systems is surveyed. Furthermore, a hierarchical and integrated maritime network architecture is proposed to satisfy the increasing various classes of services which demand different Quality of Service （QoS）. Finally, the open issues for further development of maritime communications are identified.展开更多
The full review of The International Convention on Standards of Training, Certification and Watch keeping for Seafarers （the STCW Convention） has been accomplished by International Maritime Organization （IMO） and ...The full review of The International Convention on Standards of Training, Certification and Watch keeping for Seafarers （the STCW Convention） has been accomplished by International Maritime Organization （IMO） and the new amendment, which is also named as Manila amendment, has been effective since 2012, with a transitional period of 2012-2017. Based on the system engineering context consisting of ＂Human, Machine and Environment＂, human factors at sea, i.e., those factors relevant to the seafarers, are consistently underlined. STCW convention is the unique but systematic international maritime legislation looking after the ＂professional competency standards＂ of seafarers. The amendment thereto is of great significance for the Maritime Education and Training （MET） systems, which should be fully understood so as to respond to it effectively. The paper analyzes major impacts brought by the amendment, with purposes to raise recommendations for MET systems to implement the amendment effectively.展开更多
Maritime channel modeling can be affected by some key time-varying environmental factors.The ducting effect is one of the thorniest factors since it causes anomalous propagation enhancement and severe co-channel inter...Maritime channel modeling can be affected by some key time-varying environmental factors.The ducting effect is one of the thorniest factors since it causes anomalous propagation enhancement and severe co-channel interference.Moreover,the atmospheric attenuation is much more severe in the ocean environment,resulting in shorter coverage distance and more link outage.In this paper,we propose an environmental information-aided electromagnetic propagation testbed.It is based on complex refractivity estimation and improved parabolic equation propagation model,taking into account both ducting effect and atmospheric attenuation.A large-scale temporal and spatial propagation measurement was conducted with meteorological acquisition.We consider practical path loss and ducting conditions to verify the testbed feasibility in these long-distance radio links.The simulation results are in good agreement with the measured data,which further reveal the basic temporal and spatial distribution of ducting effect at 3.5 GHz band.展开更多
As a means of communication,English has been internationalized.Communication in English always happens among the seafarers from different cultures.If crews couldn’t deal with the cultural differences well,successful ...As a means of communication,English has been internationalized.Communication in English always happens among the seafarers from different cultures.If crews couldn’t deal with the cultural differences well,successful communication and shipboard safety,which are just what STCW (Standards on Training,Certificate and Watch -keeping) calls upon,are difficult to be arrived at. Therefore cross -cultural communicative competence training,or how to teach maritime spoken English is the problem or the challenge that we,English teachers,are facing.To show how the teaching can be made more efficient and practical so as to narrow the gap between the training of the seaman in China and the requirements of STCW,through the teaching process,including the syllabus design and the materials selecting,we must consider the notion of language function as the key point.展开更多
文摘Both China and Indonesia are influential maritime powers in the Asia-Pacific region.Strengthening practical maritime cooperation is highly significant to both sides as an important component of comprehensive strategic cooperation.Maritime cooperation has become a prominent part of the“five pillar”cooperation framework between the two countries alongside political,economic,people-to-people exchange,and security,playing a positive role in elevating the China-Indonesia comprehensive strategic partnership to a higher level.
文摘With the boom in maritime activities,the need for highly reliable maritime communication is becoming urgent,which is an important component of 5G/6G communication networks.However,the bandwidth reuse characteristic of 5G/6G networks will inevitably lead to severe interference,resulting in degradation in the communication performance of maritime users.In this paper,we propose a safe deep reinforcement learning based interference coordination scheme to jointly optimize the power control and bandwidth allocation in maritime communication systems,and exploit the quality-of-service requirements of users as the risk value references to evaluate the communication policies.In particular,this scheme designs a deep neural network to select the communication policies through the evaluation network and update the parameters using the target network,which improves the communication performance and speeds up the convergence rate.Moreover,the Nash equilibrium of the interference coordination game and the computational complexity of the proposed scheme are analyzed.Simulation and experimental results verify the performance gain of the proposed scheme compared with benchmarks.
文摘In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.
文摘The blue economy encompasses all economic activities related to oceans,seas,and coastal resources,emphasizing sustainable development that balances ecological health with economic growth.It includes sectors such as fisheries,maritime trade,coastal tourism,renewable energy,and marine biotechnology.For China and ASEAN,the blue economy represents not only a source of substantial economic potential but also a crucial domain for addressing shared challenges such as resource sustainability,ecological conservation,and climate resilience.
文摘1 Introduction The Maritime Silk Road, once a historic network of trade routes that connected continents and facilitated centuries of cultural and economic exchange, has become a region of profound scientific importance. Stretching from East Asia to Europe and Africa, its marine environments are among the most complex and dynamic on Earth. This region encompasses diverse geological settings, including tectonically active zones, varied sedimentary basins, and extensive continental shelves. These features make it a unique natural laboratory for studying various geological and geophysical processes.
基金supported by the National Natural Science Foundation of China under Grant 62371181the Project on Excellent Postgraduate Dissertation of Hohai University (422003482)the Changzhou Science and Technology International Cooperation Program under Grant CZ20230029。
文摘With the rapid development of advanced networking and computing technologies such as the Internet of Things, network function virtualization, and 5G infrastructure, new development opportunities are emerging for Maritime Meteorological Sensor Networks(MMSNs). However, the increasing number of intelligent devices joining the MMSN poses a growing threat to network security. Current Artificial Intelligence(AI) intrusion detection techniques turn intrusion detection into a classification problem, where AI excels. These techniques assume sufficient high-quality instances for model construction, which is often unsatisfactory for real-world operation with limited attack instances and constantly evolving characteristics. This paper proposes an Adaptive Personalized Federated learning(APFed) framework that allows multiple MMSN owners to engage in collaborative training. By employing an adaptive personalized update and a shared global classifier, the adverse effects of imbalanced, Non-Independent and Identically Distributed(Non-IID) data are mitigated, enabling the intrusion detection model to possess personalized capabilities and good global generalization. In addition, a lightweight intrusion detection model is proposed to detect various attacks with an effective adaptation to the MMSN environment. Finally, extensive experiments on a classical network dataset show that the attack classification accuracy is improved by about 5% compared to most baselines in the global scenarios.
基金supported by the National Key Research and Development Program of China under Grant 2018YFA0701601by the Program of Jiangsu Province under Grant NTACT-2024-Z-001.
文摘In offshore maritime communication sys-tems,base stations(BSs)are employed along the coastline to provide high-speed data service for ves-sels in coastal sea areas.To ensure the line-of-sight propagation of BS-vessel links,high transceiver an-tenna height is required,which limits the number of geographically available sites for BS deployment,and imposes a high cost for realizing effective wide-area coverage.In this paper,the joint user association and power allocation(JUAPA)problem is investigated to enhance the coverage of offshore maritime systems.By exploiting the characteristics of network topology as well as vessels’motion in offshore communica-tions,a multi-period JUAPA problem is formulated to maximize the number of ships that can be simultane-ously served by the network.This JUAPA problem is intrinsically non-convex and subject to mixed-integer constraints,which is difficult to solve either analyt-ically or numerically.Hence,we propose an iterative augmentation based framework to efficiently select the active vessels,where the JUAPA scheme is iteratively optimized by the network for increasing the number of the selected vessels.More specifically,in each itera-tion,the user association variables and power alloca-tion variables are determined by solving two separate subproblems,so that the JUAPA strategy can be up-dated in a low-complexity manner.The performance of the proposed JUAPA method is evaluated by exten-sive simulation,and numerical results indicate that it can effectively increase the number of vessels served by the network,and thus enhances the coverage of off-shore systems.
基金supported by the National Key Program for Developing Basic Science(Nos.2022YFF0801702 and 2022YFE0106600)the National Natural Science Foundation of China(Nos.42175060 and 42175021)the Jiangsu Province Science Foundation(No.BK20250200302).
文摘The Madden-Julian Oscillation(MJO)is a key atmospheric component connecting global weather and climate.It func-tions as a primary source for subseasonal forecasts.Previous studies have highlighted the vital impact of oceanic processes on MJO propagation.However,few existing MJO prediction approaches adequately consider these factors.This study determines the critical region for the oceanic processes affecting MJO propagation by utilizing 22-year Climate Forecast System Reanalysis data.By intro-ducing surface and subsurface oceanic temperature within this critical region into a lagged multiple linear regression model,the MJO forecasting skill is considerably optimized.This optimization leads to a 12 h enhancement in the forecasting skill of the first principal component and efficiently decreases prediction errors for the total predictions.Further analysis suggests that,during the years in which MJO events propagate across the Maritime Continent over a more southerly path,the optimized statistical forecasting model obtains better improvements in MJO prediction.
文摘With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges in document answer precision and similarity measurement. This study, set against the backdrop of the shipping industry, combines top-down and bottom-up schema design strategies to achieve precise and flexible knowledge representation. The research adopts a semi-structured approach, innovatively constructing an adaptive schema generation mechanism based on reinforcement learning, which models the knowledge graph construction process as a Markov decision process. This method begins with general concepts, defining foundational industry concepts, and then delves into abstracting core concepts specific to the maritime domain through an adaptive pattern generation mechanism that dynamically adjusts the knowledge structure. Specifically, the study designs a four-layer knowledge construction framework, including the data layer, modeling layer, technology layer, and application layer. It draws on a mutual indexing strategy, integrating large language models and traditional information extraction techniques. By leveraging self-attention mechanisms and graph attention networks, it efficiently extracts semantic relationships. The introduction of logic-form-driven solvers and symbolic decomposition techniques for reasoning significantly enhances the model’s ability to understand complex semantic relationships. Additionally, the use of open information extraction and knowledge alignment techniques further improves the efficiency and accuracy of information retrieval. Experimental results demonstrate that the proposed method not only achieves significant performance improvements in knowledge graph retrieval within the shipping domain but also holds important theoretical innovation and practical application value.
文摘In recent years,with the increasing frequency of global Marine activities,the occurrence probability of Marine accidents and emergencies has also increased.As a new technical means,small unmanned aerial vehicles(UAVs)have shown great application potential in Marine search and rescue activities.In Marine search and rescue activities,small UAVs can quickly arrive at the scene of the accident and carry out efficient information collection and monitoring under its simple and flexible operation.Compared with traditional search and rescue methods,small UAVs can cover a wider area,provide more detailed and accurate on-site information,provide strong support for search and rescue decision-making,and thus improve the quality and efficiency of maritime rescue.In this regard,this paper first describes the application advantages of small UAVs in Marine search and rescue activities and then puts forward effective application paths,to provide some references for relevant researchers.
文摘Sustainability is a concept for achieving integration and balance in development to preserve and use resources properly by providing new solutions to overcome structural,social and economic misconceptions to prevent further degradation and waste of natural resources and create a better future for human societies.Sustainable development can be defined as a strategy for the correct use of resources,by modifying and redefining consumption patterns and avoiding one-sided development approaches.Therefore,sustainable development is defined as a long-term and unlimited solution for aligning different concepts(social,economic,and environmental),seemingly independent but related and influencing each other.This paper examines the challenges and capacities of the Oman Maritime Community and Maritime Energy Management's role in terms of sustainable development.To analyze this issue,the role of key players in Oman's maritime industry,such as the Oman Fisheries Company and the Oman Shipping Company,has been studied with the five main indicators of sustainable development goals,including people,the planet,peace,welfare,and partnership.
文摘Maritime public diplomacy is needed to assist in implementing China’s maritime power strategy and joint construction of the 21st Century Maritime Silk Road.As a part of major country diplomacy with Chinese characteristics in the new era,China’s maritime public diplomacy follows the concept of building the maritime community with a shared future,and aims to explain China’s maritime strategy,strengthen maritime cooperation,expand the blue circle of friends,spread China’s traditional marine culture,and enhance blue soft power.Since Chinese government departments,coastal cities,central enterprises,mainstream media,and think tanks are politically reliable and can easily coordinate with each other,a"five in one"layout of maritime public diplomacy could allow them work together in the maritime field.
文摘In order to improve the efficiency and safety of search and rescue(SAR)at sea,this paper proposes a kind of emergency rapid rescue unmanned craft(air-dropped unmanned maritime motorized search and rescue platform)that can be delivered by a large transport aircraft.This paper studies the structural design scheme of the platform,and the main scale of the platform,the choice of power system and the impact resistance performance are considered in the design process to ensure its rapid response and effective rescue capability under complex sea conditions.Simulation results show that the platform can withstand the impact of air injection into the water and the shipboard equipment can operate normally under the impact load,thus verifying the feasibility and safety of the design.This study serves to improve the maritime search and rescue system and enhance the oceanic emergency response capability.
基金the "Program for Promoting Maritime Economies with Science and Technology" in Tianjin，the National Natural Science Foundation of China，the Tianjin Research Program of Application Foundation and Advanced Technology，the National Science and Technology Major Project，Seed Foundation of Tianjin University
文摘This paper summarizes the requirements for modem maritime wireless communication networks in the marine environments including the sea- to-sea and sea-to-shore communication scenarios. The existing maritime wireless communication sys- tems are presented and the development of the state-of-the-art maritime communication systems is surveyed. Furthermore, a hierarchical and integrated maritime network architecture is proposed to satisfy the increasing various classes of services which demand different Quality of Service （QoS）. Finally, the open issues for further development of maritime communications are identified.
文摘The full review of The International Convention on Standards of Training, Certification and Watch keeping for Seafarers （the STCW Convention） has been accomplished by International Maritime Organization （IMO） and the new amendment, which is also named as Manila amendment, has been effective since 2012, with a transitional period of 2012-2017. Based on the system engineering context consisting of ＂Human, Machine and Environment＂, human factors at sea, i.e., those factors relevant to the seafarers, are consistently underlined. STCW convention is the unique but systematic international maritime legislation looking after the ＂professional competency standards＂ of seafarers. The amendment thereto is of great significance for the Maritime Education and Training （MET） systems, which should be fully understood so as to respond to it effectively. The paper analyzes major impacts brought by the amendment, with purposes to raise recommendations for MET systems to implement the amendment effectively.
基金supported in part by the National Key Research and Development Program of China(No.2018YFB1802300)the National Natural Science Foundation of China(No.61801461,No.61925105)+1 种基金in part by the Shanghai Municipality of Science and Technology Commission Project(Nos.20JC1416500)the Program of Shanghai Academic/Technology Research Leader(Nos.21XD1433700)。
文摘Maritime channel modeling can be affected by some key time-varying environmental factors.The ducting effect is one of the thorniest factors since it causes anomalous propagation enhancement and severe co-channel interference.Moreover,the atmospheric attenuation is much more severe in the ocean environment,resulting in shorter coverage distance and more link outage.In this paper,we propose an environmental information-aided electromagnetic propagation testbed.It is based on complex refractivity estimation and improved parabolic equation propagation model,taking into account both ducting effect and atmospheric attenuation.A large-scale temporal and spatial propagation measurement was conducted with meteorological acquisition.We consider practical path loss and ducting conditions to verify the testbed feasibility in these long-distance radio links.The simulation results are in good agreement with the measured data,which further reveal the basic temporal and spatial distribution of ducting effect at 3.5 GHz band.
文摘As a means of communication,English has been internationalized.Communication in English always happens among the seafarers from different cultures.If crews couldn’t deal with the cultural differences well,successful communication and shipboard safety,which are just what STCW (Standards on Training,Certificate and Watch -keeping) calls upon,are difficult to be arrived at. Therefore cross -cultural communicative competence training,or how to teach maritime spoken English is the problem or the challenge that we,English teachers,are facing.To show how the teaching can be made more efficient and practical so as to narrow the gap between the training of the seaman in China and the requirements of STCW,through the teaching process,including the syllabus design and the materials selecting,we must consider the notion of language function as the key point.
