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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Yu, Hui Wu, Defeng Li, Guoqiang Li, Yuqin School of Marine Engineering Jimei University Fujian Xiamen361021 China Fujian Provincial Key Laboratory of Naval Architecture and Ocean Engineering Fujian Xiamen361021 China Fujian Institute of Innovation for Marine Equipment Detection and Remanufacturing Industrial Technology Fujian Xiamen361021 China

ISBN: (纸本)9789819639762

Unmanned surface vehicles (USV) have gained a significant position in ocean resource development due to their cost-effectiveness and safety. Collision avoidance is the crucial technology determining whether a USV can complete resource exploration missions. This paper proposes a novel collision avoidance algorithm incorporating designed clustering algorithm and improved deep reinforcement learning (DRL) consisting of two parts. The improved collision avoidance algorithm involves collision risk assessment based on the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Algorithm used to classify obstacle ships. Secondly, Proximal policy optimization. Finally, multi-ship collision avoidance simulation platform is established to verify the reliability of the proposed algorithm. The simulation results show the higher collision avoidance success rate than traditional algorithms. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Risk assessment

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Pore-water geochemistry in methane-seep sediments of the Makran accretionary wedge off Pakistan:Possible link to subsurface methane hydrate

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Acta Oceanologica Sinica 2021年第9期40卷 23-32页

作者： Xianrong Zhang Jianming Gong Zhilei Sun Jing Liao Bin Zhai Libo Wang Xilin Zhang Cuiling Xu Wei Geng Key Laboratory of Gas Hydrate of Ministry of Natural Resources Qingdao Institute of Marine GeologyQingdao 266071China Evaluation and Detection Technology Laboratory for Marine Mineral Resources Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China

Cold seeps are pervasive along the continental margin worldwide,and are recognized as hotspots for elemental cycling pathway on *** this study,analyses of pore water geochemical compositions of one-400 cm piston core(S3)and the application of a mass balance model are conducted to assess methane-associated biogeochemical reactions and uncover the relationship of methane in shallow sediment with gas hydrate reservoir at the Makran accretionary wedge off *** results revealed that approximately 77%of sulfate is consumed by the predominant biogeochemical process of anaerobic oxidation of ***,the estimated sulfate-methane interface depth is-400 cm below sea floor with the methane diffusive flux of 0.039 mol/(m^(2)·a),suggesting the activity of methane *** on the δ^(13)C_(DIC) mass balance model combined with the contribution proportion of different dissolved inorganic carbon sources,this study calculated the δ^(13)C of the exogenous methane to be-57.9‰,indicating that the exogenous methane may be a mixture source,including thermogenic and biogenic *** study of pore water geochemistry at Makran accretionary wedge off Pakistan may have considerable implications for understanding the specific details on the dynamics of methane in cold seeps and provide important evidence for the potential occurrence of subsurface gas hydrate in this area.

关键词： Makran accretionary wedge methane-seep pore water geochemistry anaerobic oxidation of methane

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Research on Passive Direction of Arrival Estimation algorithm of Underwater Targets Based on Fiber Optic Hydrophone array 4

Research on Passive Direction of Arrival Estimation algorith...

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4th International Computational Imaging Conference, CITA 2024

作者： Yang, YaHan Hang, Dongdong Hao, GeYang Lv, XiaoPeng Yang, YuCheng Wu, GuoJun Science and Technology Service Department Qingdao Marine Science and Technology Center Qingdao266200 China Ocean Observation and Detection Department Laoshan Laboratory Qingdao266200 China Shaanxi Key Laboratory of Ocean Optics Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an710119 China

ISBN: (纸本)9781510688834

To meet the demands of unmanned underwater mobile platforms, we developed a fiber optic hydrophone array that can detect weak underwater signals at a distance. We tested the performance of the hydrophone array system for passive Direction of Arrival (DOA) estimation in the Qingdao Sea area. A multiple Signal Classification Algorithm (MUSIC) was employed to estimate the direction of low-frequency narrowband signals. MUSIC demonstrated a sharper spectrum peak and a narrower main lobe beam-width compared to the Conventional Beamforming (CBF) and Minimum Variance Distortionless Response (MVDR) methods. On average, The MUSCI method can reduce the main lobe beam width by about 80% compared to the CBF and 22% compared to the MVDR. Near the 90-degree ray direction, the MUSIC can effectively overcome the Rayleigh limit and achieve super-resolution underwater passive DOA estimation. © 2025 SPIE.

关键词： Direction of arrival

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Multiresolution Convolutional Neural Network for Underwater Acoustic Target Recognition* 6

Multiresolution Convolutional Neural Network for Underwater ...

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6th International Conference on Signal and Image Processing, ICSIP 2021

作者： Yi, Zhang Pingzheng, Li Shuidong, Xiong Qiong, Yao Yanxin, Ma Mengqi, Liu National University of Defense Technology College of Advanced Interdisciplinary Studies Hunan Key Laboratory For Marine Detection Technology Hunan Changsha China National University of Defense Technology College of Meteorology and Oceanology Hunan Key Laboratory For Marine Detection Technology Hunan Changsha China National University of Defense Technology College of Advanced Interdisciplinary Studies Hunan Changsha China

ISBN: (纸本)9780738133737

Convolution neural network(CNN) has become a popular method for underwater acoustic target recognition because of its advantages. Due to the complexity of underwater acoustic environment, a single-scale CNN shows low robustness for complex broadband target effectively. Therefore, a multi-scale residual convolution neural network for complex broadband underwater acoustic targets is proposed in this paper. In this method, two-dimensional feature map is firstly formed based on auditory feature Mel Cepstrum Coefficient and acoustic information. and then multi-resolution analysis is realized through multi-scale convolution kernel, which improve the robustness of the model to complex broadband targets. The results of verification experiments show that the proposed network achieves recognition accuracy and performs high tolerance to noise interference. © 2021 IEEE.

关键词： Underwater acoustics

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Exploring spatio-temporal heterogeneity and inter-domain ecological networks of biological community in a marine ranching habitat: Implications for fishery resources conservation

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Reproduction and Breeding 2025年第2期5卷 1-10页

作者： Lei, Zeng Guobao, Chen Tingting, Zheng Yuxiang, Chen jie, Yu Wuhui, Li Engineering Research Center of Polyploid Fish Reproduction and Breeding of the State Education Ministry State Key Laboratory of Developmental Biology of Freshwater Fish College of Life Sciences Hunan Normal University Hunan Changsha 410081 China Key Laboratory of Marine Ranch Technology South China Sea Fisheries Research Institute Chinese Academy of Fishery Sciences Guangdong Guangzhou 510300 China

Habitat changes in marine ranching can cause variations in biological resources and community structure. However, the complex inter-domain ecological network (IDEN) in this particular habitat are not well understood. Thus, we employed field surveys and multivariate statistical analyses to explore the spatio-temporal heterogeneity and the IDEN of biological communities within a marine ranching in southern Yintan of Beihai City, China. Our findings indicated that seasonal succession and artificial reefs (ARs) deployment had simultaneous effects on both biotic and abiotic factors, and the former effect was more pronounced. Based on orthogonal partial least squares discriminant analysis (OPLS-DA), various biota (phytoplankton, zooplankton, and nekton) can be broadly categorized into four groups on seasonal and spatial scales. Variable importance projection (VIP) and redundancy analysis (RDA) demonstrated that autumn biomarkers such as Hemidiscus hardmannianus, Oikopleura rufescens, Lagocephalus lunaris were positively correlated with water temperature (WT), salinity (Sal) and inorganic nitrogen (IN), whereas spring biomarkers such as Rhizosolenia robusta, Euconchoecia aculeata, Penaeus penicillatus were positively correlated with dissolved (DO), chemical oxygen demand (COD), and inorganic phosphorus (IP). The IDEN analysis revealed that 23 species such as Chaetoceros densus, Centropages tenuiremis, and Parargyrops edita played a key role in maintaining the stability of the biological communities in the studied sea area. This study can provide novel insights and theoretical supports for the ecological effects analysis and species protection in marine ranching. © 2025 The Authors

关键词： Community structure Habitat change marine ranching Network relationship Resource dynamic

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Dual-imaging-mode smart hydrogel information platform for illumination-independent covert decryption and read

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International Journal of Smart and Nano Materials 2022年第4期13卷 612-625页

作者： Junjie Wei Long Li Rui Li Qingquan Liu Zejun Yan Tao Chen Key Laboratory of Marine Materials and Related Technologies Zhejiang Key Laboratory of Marine Materials and Protective TechnologiesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina School of Chemical Sciences University of Chinese Academy of SciencesBeijingChina Hunan Provincial Key Laboratory of Advanced Materials for New Energy Storage and Conversion Hunan University of Science and TechnologyXiangtanChina Department of Urology&Nephrology Ningbo First Hospitalthe Affiliated Hospital of Zhejiang UniversityNingboChina

Smart hydrogel with color responsiveness is envisioned as one of the most promising materials for advanced information encryption and decryption platform,but the illumination-dependent way of decrypt-ing and reading information leads to the worrying of concealment in some particular ***,we proposed a smart hydrogel information platform with dual imaging modes by utilizing the accom-panying behaviors in transparency change and heat releasing after crystallization of supercooled *** this smart hydrogel informa-tion platform,the hidden information could be written and decrypted by ink of ethylene glycol and decryption tool of seed crystal,***,in addition to the traditional optical imaging mode with the assistance of light illumination,the decrypted information on dual-imaging-mode hydrogel platform also could be read by thermal imaging mode in dark environment owing to the exothermic *** illumination-independent read mode based on heat radia-tion helps to improve the secrecy and safety of the decryption and read *** investigation provides a facile and feasible strategy to design illumination-independent information platform that enables reading the encrypted information in secret.

关键词： Hydrogel information platform information decryption thermal imaging illumination-independent pattern crystallization

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Study on Phase Noise Characteristics of Optical Fiber Sensing System Based on Remotely Pumped Light Amplification 19

Study on Phase Noise Characteristics of Optical Fiber Sensin...

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19th International Conference on Optical Communications and Networks, ICOCN 2021

作者： Hu, Ningtao Cao, Chunyan Hou, Qingkai Wang, Fuyin Feng, Lei College of Advanced Interdisciplinary Studies National University of Defense Technology 、 Hunan Key Laboratory for marine detection technology Changsha China

ISBN: (纸本)9781665424462

Remotely Optically Pumped Amplifier is an important form of the interference type optical fiber sensing remote relay transmission system. In this paper, the relationship between the nonlinear spontaneous Raman effect and the sensor phase noise in remotely pumped optical amplification is studied. The results show that in a 100km transmission system, with the increase of pump power the spontaneous Raman effect increases and a random fluctuation of pump optical power. The pump light fluctuation leads to the gain distortion and decrease of the remote gain unit, which ultimately transforms the pump intensity noise into the phase noise of the system. The experimental results show that when the pump power is controlled below 1.1W, the phase noise of the remotely pumped optical amplification system is at - 98dB@*** there are no obvious phase noise introduced into the remotely pump optical amplification system. © 2021 IEEE.

关键词： Phase noise

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Antisymmetry-breaking-coupling–enhanced sensing of quantum reservoirs

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Physical Review A 2024年第1期110卷 012613-012613页

作者： Ji-Bing Yuan Zhi-Min Tang Ya-Ju Song Shi-Qing Tang Zhao-Hui Peng Xin-Wen Wang Le-Man Kuang Key Laboratory of Opto-electronic Control and Detection Technology of University of Hunan Province and College of Physics and Electronic Engineering Hunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials and Department of Physics Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education and Department of Physics Synergetic Innovation Academy for Quantum Science and Technology

We investigate the use of a single generalized dephasing qubit for sensing a quantum reservoir, where the antisymmetry of the coupling between the qubit and its reservoir is broken. Our results indicate that, in addition to the decay factor encoding channel, the antisymmetry breaking coupling introduces another phase factor encoding channel. We propose an optimal measurement strategy for the generalized dephasing qubit, which enables the practical measurement precision to reach the theoretical ultimate precision quantified by the quantum signal-to-noise ratio (QSNR). As an application example, the generalized dephasing qubit is employed to estimate the s-wave scattering length of an atomic Bose-Einstein condensate. It is found that the QSNR contributed by the antisymmetry breaking coupling is at least two orders of magnitude higher than the QSNR contributed by the antisymmetry coupling at the millisecond timescale, and the optimal relative error can achieve a scaling ∝1/(χt) in long-term encoding, where χ represents the relative driving strength and t is the encoding time. Our work opens a way for supersensitive sensing of quantum reservoirs.

关键词： Open quantum systems & decoherence Quantum parameter estimation Bose-Einstein condensates

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Modeling and Analysis of Long Cables in the Subsea AC Power Supply System 26

Modeling and Analysis of Long Cables in the Subsea AC Power ...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Zhang, Junzhao Liang, Yongtao Jiang, Dong Wang, Shuangcheng Guo, Hong Peng, Xin Huazhong University of Science and Technology Wuhan430074 China CNOOC Research Institute Ltd Beijing100028 China Hubei Key Laboratory of Marine Electromagnetic Detection and Control Wuhan430081 China

ISBN: (纸本)9798350317589

The underwater AC power transmission and distribution systems commonly employ long, high-voltage transmission cables. The accuracy of modeling these cables directly impacts the prediction of the system's steady-state and transient performance. This paper presents an improved pi-section model for accurately modeling underwater AC transmission cables, taking into account the skin effect. Furthermore, we analyze the influence of the skin effect on the short-circuit input impedance of the cable. Through simulation verification, the proposed model precisely matches the actual cable parameters within the frequency range of 0 to 3000 Hz, confirming the impact of the skin effect on the short-circuit input impedance. © 2023 IEEE.

关键词： Cables

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Multi-Channel Based on Attention Network for Infrared Small Target detection

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 414-427页

作者：张彦军王碧云蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Institute of Aerospace Control Technology Shanghai 201109China Infrared Detection Technology R&D Center of China Aerospace Science and Technology Corporation Shanghai 201109China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

Infrared detection technology has the advantages of all-weather detection and good concealment,which is widely used in long-distance target detection and tracking ***,the complex background,the strong noise,and the characteristics of small scale and weak intensity of targets bring great difficulties to the detection of infrared small targets.A multi-channel based on attention network is proposed in this paper,aimed at the problem of high missed detection rate and false alarm rate of traditional algorithms and the problem of large model,high complexity and poor detection performance of deep learning ***,given the difficulty in extracting the features of infrared multiscale and small dim targets,the multiple channels are designed based on dilated convolution to capture multiscale target ***,the coordinate attention block is incorporated in each channel to suppress background clutters adaptively and enhance target *** addition,the fusion of shallow detail features and deep abstract semantic features is realized by synthesizing the contextual attention fusion ***,it is verified that,compared with other state-of-the-art methods based on the datasets SIRST and MDFA,the proposed algorithm further improves the detection effect,and the model size and computational complexity are smaller.

关键词： infrared image small target detection deep learning attention mechanism feature fusion

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