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6th International Conference on information Communication and Signal Processing, ICICSP 2023

作者： Zhang, Ruolan Shi, Yang Yang, Long Zhou, Zihao School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Key Laboratory of Underwater Information Technology Xi'an China

ISBN: (纸本)9798350339994

underwater target classification is an important research topic in the field of underwater acoustic signal processing, and the classification of marine mammal vocalizations is of great significance for the conservation of them. In this paper, the calls of humpback whales, short-finned pilot whales and sperm whales are taken as the research objects and plotted as spectrograms. Aiming to address the issue of small targets in spectrograms, we proposed an improved model based on YOLOv5 and integrate the Vision Transformer BiFormer module to enhance the detection accuracy of each sample. The test result shows that the mean average precision of all categories in the improved model is 88.1%, a 4.9% increase compared to the pre-improvement performance. © 2023 IEEE.

关键词： underwater target classification vision transformer whale calls YOLOv5

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Effect of industrial alkene ozonolysis on atmospheric H_(2)SO_(4)formation

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Journal of Environmental sciences 2025年第4期150卷 466-476页

作者： Xing Wang Xiaowen Shi Youling Jiang Yan Ma Jun Zheng School of Environmental Science and Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China Jiangsu Provincial Academy of Environmental Sciences Nanjing 210036China

This study has employed the master chemical mechanism(MCM)to investigate the influence of the ozone oxidation pathways in the atmospheric formation of H_(2)SO_(4)from shortchain olefins in industrialized ***-situ H_(2)SO_(4)formation data were obtained using a high-resolution chemical ionization time-of-flight mass spectrometer,and the simulated H_(2)SO_(4)concentrations calculated using updated parameters for the MCM model exhibited good agreementwith *** the simulation analysis of different reaction pathways involved in H_(2)SO_(4)formation,hydroxyl radicals were found to dominate H_(2)SO_(4)production during the daytime,while olefin ozone oxidation contributed up to 65%of total H_(2)SO_(4)production during the night-time.A sensitivity analysis of the H_(2)SO_(4)production parameters has revealed a high sensitivity to changes in sulfur dioxide,and a relatively high sensitivity to olefins with fast ozonolysis reaction rates and bimolecular reaction rates of resulting stabilized Criegee Intermediates.A high relative humidity promotes daytime H_(2)SO_(4)formation,but has an inhibiting effect during the night-time due to the different dominant reaction pathways.

关键词： Gaseous sulfuric acid Alkene ozonation reaction MCM model Sensitivity analysis

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A TDOA Method for underwater Target Location Using Distributed Multi-Agent Systems with Experiment Verification 6

A TDOA Method for Underwater Target Location Using Distribut...

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6th International Conference on information Communication and Signal Processing, ICICSP 2023

作者： Zhou, Zihao Shi, Yang Yang, Long Zhang, Ruolan Guo, Ruochen School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Key Laboratory of Underwater Information Technology Xi'an China

ISBN: (纸本)9798350339994

The passive location methods for underwater target is particularly critical to both military and civilian domains, with Time Difference of Arrival (TDOA) gaining widespread utilization across diverse applications. In this paper, the underwater target location method based on the TDOA with distributed multi-agent systems (UTL-DMS) is proposed to apply in the shallow water environment. The location of target is solved by constructing a set of pseudo-linear equations, requiring three observers of the distributed multi-agent system. The simulation results show that average location error is 1.48 m. The distributed multi-agent systems are constructed. The experiment is held to verify the method in the Qian Dao Lake in Hangzhou. All location errors are less than 20 m, which demonstrate the performance of the method by the experiment verification on a lake. © 2023 IEEE.

关键词： distributed multi-agent systems experiment verification time difference of arrival

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Adaptive Time Slot Resource Allocation in SWIPT IoT Networks

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Computer Modeling in Engineering & sciences 2023年第9期136卷 2787-2813页

作者： Yunong Yang Yuexia Zhang Zhihai Zhuo Key Laboratory of Information and Communication Systems Ministry of Information IndustryBeijing Information Science and Technology UniversityBeijing100101China Key Laboratory of ModernMeasurement&Control Technology Ministry of EducationBeijing Information Science&Technology UniversityBeijing100101China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing100101China

The rapid advancement of Internet of Things(IoT)technology has brought convenience to people’s lives;however further development of IoT faces serious challenges,such as limited energy and shortage of network spectrum *** address the above challenges,this study proposes a simultaneous wireless information and power transfer IoT adaptive time slot resource allocation(SIATS)***,an adaptive time slot consisting of periods for sensing,information transmission,and energy harvesting is designed to ensure that the minimum energy harvesting requirement ismet while the maximumuplink and downlink throughputs are ***,the optimal transmit power and channel assignment of the system are obtained using the Lagrangian dual and gradient descent methods,and the optimal time slot assignment is determined for each IoT device such that the sum of the throughput of all devices is *** results show that the SIATS algorithm performs satisfactorily and provides an increase in the throughput by up to 14.4%compared with that of the fixed time slot allocation(FTS)*** the case of a large noise variance,the SIATS algorithm has good noise immunity,and the total throughput of the IoT devices obtained using the SIATS algorithm can be improved by up to 34.7%compared with that obtained using the FTS algorithm.

关键词： Internet of Things simultaneous wireless information and power transfer adaptive time slot resource allocation

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Remote sensing image encryption algorithm based on novel hyperchaos and an elliptic curve cryptosystem

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Chinese Physics B 2024年第5期33卷 292-304页

作者：田婧希金松昌张晓强杨绍武史殿习 School of Computer Science National University of Defense TechnologyChangsha 410003China Intelligent Game and Decision Laboratory (IGDL) Beijing 100091China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China

Remote sensing images carry crucial ground information,often involving the spatial distribution and spatiotemporal changes of surface *** safeguard this sensitive data,image encryption technology is *** this paper,a novel Fibonacci sine exponential map is designed,the hyperchaotic performance of which is particularly suitable for image encryption *** encryption algorithm tailored for handling the multi-band attributes of remote sensing images is *** algorithm combines a three-dimensional synchronized scrambled diffusion operation with chaos to efficiently encrypt multiple ***,the keys are processed using an elliptic curve cryptosystem,eliminating the need for an additional channel to transmit the keys,thus enhancing *** results and algorithm analysis demonstrate that the algorithm offers strong security and high efficiency,making it suitable for remote sensing image encryption tasks.

关键词： hyperchaotic system elliptic curve cryptosystem(ECC) 3D synchronous scrambled diffusion remote sensing image unmanned aerial vehicle(UAV)

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A Neural Network-Based Beampattern Optimization Method for Arbitrary Sensor Arrays 6

A Neural Network-Based Beampattern Optimization Method for A...

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6th International Conference on information Communication and Signal Processing, ICICSP 2023

作者： Ziyu, Wei Yong, Wang School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Key Laboratory of Underwater Information Technology Xi'an China

ISBN: (纸本)9798350339994

A beamforming method based on neural network is proposed in this paper. The input of the neural network is some parameters of beamformers, such as signal frequency, main lobe direction, sidelobe level, and robustness constraint level. The output of the neural network is the weighting vectors. Supervised learning is used to train the neural network, and the output weighting vectors in the training process are calculated using the Second-Order Cone programming (SOCP) algorithm. The proposed neural network-based method is actually an approximate version of the SOCP-based method, but it requires small amounts of computation and storage memory when applied in practice. The trained neural network can quickly output corresponding weighting vectors for beampatterns with different main lobe directions, different frequencies, different robustness constraints, and different beam widths. The good performance of the neural network-based beamforming method is demonstrated in simulations. © 2023 IEEE.

关键词： beamforming neural network SOCP

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STships: An Object Detection Dataset Based on Real Seascapes 6

STships: An Object Detection Dataset Based on Real Seascapes

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6th International Conference on information Communication and Signal Processing, ICICSP 2023

作者： Wang, Jiahao Shi, Yang School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Key Laboratory of Underwater Information Technology Xi'an China

ISBN: (纸本)9798350339994

This paper introduces a dataset (called STships) based on real seascapes for ship detection. The dataset was collected with a HD dome camera in Sanya on July 18 and July 20, 2022. 7483 images are covered in the dataset belonging to 6 types of targets (research vessel, oil tanker, general cargo ship, fishing boat, passenger ship and ocean buoy). 7109 images are carefully annotated, in addition to 374 background images. A number of practical influencing factors were taken into account during the construction of the dataset, including: background, visible proportion, scale, illumination. Baseline detector is trained on the dataset to evaluate the performance. And there is also a comparison between STships and other dataset. The dataset is expected to advance ship detection and application under real seascapes. © 2023 IEEE.

关键词： neural networks Object detection ship dataset ship detection

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Impact of Evaporation Duct on Electromagnetic Wave Propagation During a Typhoon

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Journal of Ocean University of China 2022年第5期21卷 1069-1083页

作者： WANG Shuwen YANG Kunde SHI Yang YANG Fan ZHANG Hao School of Marine Science and Technology Northwestern Polytechnical UniversityXi’an 710072China Key Laboratory of Ocean Acoustics and Sensing Northwestern Polytechnical UniversityMinistry of Industry and Information TechnologyXi’an 710072China National Key Laboratory of Underwater Information Processing and Control Xi’an 710072China

The evaporation duct,a result of evaporation from the ocean,is a region above the sea surface in which radio waves are refracted *** duct has strong effects on microwave *** cause huge anomalies in marine meteorological parameters that influence the evaporation duct distribution and structure,which in turn affects the propagation of electromagnetic(EM)***,EM wave propagation under the typhoon process has seldom been ***,taking Typhoon Phanfone(201929)as an example,this study uses a dataset from the European Centre for Medium-Range Weather Forecasts,combined with the Naval Atmospheric Vertical Surface Layer Model and the parabolic equation model,to study the evaporation duct’s impact on EM wave propagation during a *** spatial and temporal path loss distributions reveal that large amounts of EM wave energy are emitted from the evaporation duct when the EM wave passes through a typhoon *** average,a typhoon eye causes an approximately 20 dB increase in path loss for EM wave propagation at low antenna ***,the effects of a typhoon eye on EM wave propagation at different signal frequencies and antenna heights are *** results show that a typhoon has a larger impact on EM wave propagation with low signal frequency and high antenna height.

关键词： evaporation duct typhoon ECMWF wave glider electromagnetic wave propagation

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Polyphonic sound event localization and detection based on Multiple Attention Fusion ResNet

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Mathematical Biosciences and Engineering 2024年第2期21卷 2004-2023页

作者： Zhang, Shouming Zhang, Yaling Liao, Yixiao Pang, Kunkun Wan, Zhiyong Zhou, Songbin Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Institute of Intelligent Manufacturing Guangdong Academy of Science Guangdong Key Laboratory of Modern Control Technology Guangzhou510030 China

Sound event localization and detection have been applied in various fields. Due to the polyphony and noise interference, it becomes challenging to accurately predict the sound event and their occurrence locations. Aiming at this problem, we propose a Multiple Attention Fusion ResNet, which uses ResNet34 as the base network. Given the situation that the sound duration is not fixed, and there are multiple polyphonic and noise, we introduce the Gated Channel Transform to enhance the residual basic block. This enables the model to capture contextual information, evaluate channel weights, and reduce the interference caused by polyphony and noise. Furthermore, Split Attention is introduced to the model for capturing cross-channel information, which enhances the ability to distinguish the polyphony. Finally, Coordinate Attention is introduced to the model so that the model can focus on both the channel information and spatial location information of sound events. Experiments were conducted on two different datasets, TAU-NIGENS Spatial Sound Events 2020, and TAU-NIGENS Spatial Sound Events 2021. The results demonstrate that the proposed model significantly outperforms state-of-the-art methods under multiple polyphonic and noise-directional interference environments and it achieves competitive performance under a single polyphonic environment. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.

关键词： Deep learning

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A High-Resolution Frequency Estimation Method Based on Toeplitz Averaging 6

A High-Resolution Frequency Estimation Method Based on Toepl...

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6th International Conference on information Communication and Signal Processing, ICICSP 2023

作者： Li, Shouci Wang, Yong School of Marine Science and Technology Northwestern Polytechnical University Shaanxi Key Laboratory of Underwater Information Technology Xi'an China

ISBN: (纸本)9798350339994

In this paper, a new high-resolution frequency estimation method based on Toeplitz averaging method is proposed. The data covariance matrix is reconstructed to improve the spectral resolution by using Toeplitz averaging processing, and the original data is denoised by the data preprocessing method based on the noise suppression gate. The noise suppression gate can be applied to other frequency estimation methods, but the improvement in frequency estimation is not obvious. Only by combining the Toeplitz averaging processing and noise suppression gate can a good frequency estimation effect be achieved. Simulation and experimental results show that the proposed method has a better frequency estimation effect. © 2023 IEEE.

关键词： frequency estimation high-resolution noise suppression Toeplitz averaging

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