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Experimental Research on Blind Adaptive Multiuser Detection Algorithm with Different Carrier Frequencies and Severe Overlapping Interference of Spectra

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Binggong Xuebao/Acta Armamentarii 2019年第2期40卷 353-360页

作者： Ge, Wei Yin, Jingwei Yang, Guang Zheng, Maochun Li, Enyu Acoustic science and Technology Laboratory Harbin Engineering University HarbinHeilongjiang150001 China Key Laboratory of Marine Information Acquisition and Security of Ministry of Industry and Information Technology Harbin Engineering University HarbinHeilongjiang150001 China College of Underwater Acoustic Engineering Harbin Engineering University HarbinHeilongjiang150001 China School of Information and Control Engineering Qingdao University of Technology QingdaoShandong266000 China

The carrier frequencies of the interfering users may be inconsistent with those of the expected users when mobile multiuser underwater acoustic communications occur. A blind adaptive multiuser detection(BAMUD)algorithm for carrier frequency inconsistency is proposed for the multiple access interference (MAI) problem produced by inconsistent carrier frequencies in mobile multiuser underwater acoustic communications. The multi-path interference (inter-symbol interference) can be viewed as MAI using virtual user technology, that is, the channel equalization link and the MAI suppression link are combined into one link in the multiuser underwater acoustic communication system, simplifying the communication system structure. The MAI suppression characteristic of Kalman filter-based BAMUD(KF-BAMUD)algorithm, that is, the optimal estimation characteristic of KF under the minimum mean square error criterion, is used to suppress the virtual MAI with different carrier frequencies, the transmission data of the expected user is effectively estimated, thus realizing multiuser communication. A series of multi-user communication experiments under inconsistent carrier frequencies were conducted in Bohai Sea and during its ice period, and the good experimental results have verified the effectiveness of the proposed algorithm. © 2019, Editorial Board of Acta Armamentarii. All right reserved.

关键词： Multiple access interference

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Multipassive Sensor Multitarget Efficient Trajectory-Measurement Association Algorithm Based on the Submodular Optimization Theory

Multipassive Sensor Multitarget Efficient Trajectory-Measure...

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IEEE/OES China Ocean Acoustics (COA)

作者： Ying Lyu Bin Qi Guolong Liang National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin Engineering University Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

data association is critical for resolving multisensor and multitarget tracking challenge. As the number of sensors and targets grows, the complexity of linking measurements to specific targets also grows. The question of efficiently associating ideal measurements for each target, particularly in multipassive sensor systems, remains unresolved. Inspired by least squares estimation, a cost function is determined that considers angle deviation and distance cost, the original objective function, and a set of constraints. The original objective function is then changed into a submodular function with the property of diminishing marginal benefits after an analysis of the problem's practical importance. Finally, based on the submodular optimization theory, an effective multisensor trajectory-measurement association algorithm is proposed. The simulation results show that using the proposed algorithm, each target only needs to be associated with a small number of high-accuracy measurement azimuths to achieve tracking performance comparable with the previous algorithm.

关键词： Target tracking Costs Simulation Oceans Sea measurements Estimation Linear programming Cost function Sensor systems Sensors

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Improved Cloth Simulation Filtering for Multi-Beam Bathymetric Point Cloud Using the Maximum Likelihood Method

Improved Cloth Simulation Filtering for Multi-Beam Bathymetr...

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IEEE/OES China Ocean Acoustics (COA)

作者： Zhenyu Yan Tian Zhou Weilu Liu Weidong Du National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin Engineering University Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

Cloth simulation filtering (CSF) is an automatic filtering algorithm used for airborne light detection and ranging (LiDAR) point clouds, with few parameters and high accuracy, and it is suitable for various landscapes. However, owing to the differences between the acoustic bathymetric and optical ranging principles, CSF may require more artificial intervention to handle multi-beam bathymetric point clouds, and the anomalies generated by the seafloor secondary echo result in diminishing the filtering accuracy of CSF. This paper presents an improved CSF based on maximum likelihood estimation (MLE), called MLE-CSF, which weakens the impact of negative anomalies on the filtering effect by determining the estimated bathymetric point for each cloth particle. In this method, a linear observation model of estimated bathymetry for cloth particles was established, and then the MLE was used to calculate the estimated bathymetric values of each particle in the vertical direction. Next, the CSF was carried out, and the simulated bathymetric value of each particle was obtained when the simulation terminated. Finally, the multi-beam bathymetric point cloud was divided as the off-seafloor or seafloor point set by comparing the simulated bathymetric value with the estimated one. To evaluate the filtering performance, the MLE-CSF was applied to the bathymetric data collected around the Chi Island in Qingdao, China. The filtering result reveals that the MLE-CSF outperforms CSF, which decreases the total error from 2.58 % to 1.92 % and increases Cohen's kappa coefficient from 77.42 % to 82.26 % in the research area. The MLE-CSF is more suitable and stable for multi-beam bathymetric data than the morphology-based filter.

关键词： Point cloud compression Optical filters Maximum likelihood estimation Maximum likelihood detection Accuracy Laser radar Filtering Surfaces Distance measurement Acoustics

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Passive Line Spectrum Detection of a Moving Target With the Fractional Fourier Transform

Passive Line Spectrum Detection of a Moving Target With the ...

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IEEE/OES China Ocean Acoustics (COA)

作者： Zhao Yuxin Sun Dajun Mei Jidan National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University) Ministry of Industry and Information Technology Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

To detect line spectrum signals from underwater moving targets, a long-time-integral line spectrum detection method based on the fractional Fourier transform (FRFT) is proposed in this work. This method can mitigate the decrease in the gain of the line spectrum caused by the motion of a target and the resulting Doppler shift. By establishing a mathematical model of the received signal from a moving target, the polynomial characteristics of the phase of the received signal are deduced, and second-order approximate results are given. The polynomial phase signal parameters are related to the parameters of the moving target. Because FRFT can be applied to the integral processing of second-order polynomials, the corresponding processing model and method are given using the FRFT in this work. The actual gains associated with FFT and FRFT for moving targets with different velocities and frequencies are summarized and compared with the theoretical ones. Furthermore, the optimal integration time under different conditions is estimated. Compared with FFT, FRFT lengthens the integration time of the line spectrum of moving signals. The processed results from the simulation data show that this method has excellent line spectrum detection performance at a low SNR and can be adapted to complex situations such as multiple targets and multiple line spectrum signals.

关键词： Doppler shift Couplings Time-frequency analysis Fast Fourier transforms Oceans Signal processing Polynomials Mathematical models Acoustics Signal to noise ratio

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Integration of Deep Neural Networks and Local Mean Decomposition for Accurate Underwater Acoustic Channel Estimation

Integration of Deep Neural Networks and Local Mean Decomposi...

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International Bhurban Conference on Applied Sciences & technology, IBCAST

作者： Mansoor Jan Suleman Mazhar Muhammad Adil Aman Muhammad Qiao Gang National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin Engineering University Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350308259

ISBN: (纸本)9798350308266

Accurate estimation of underwater acoustic channel is crucial for reliable communication in harsh underwater conditions. However, because of the dynamic nature of the underwater acoustic channel, reliable estimation of underwater acoustic channel is difficult. To overcome this problem, we offer a new method for improving UWA channel estimations that combines Deep Neural Networks (DNNs) with Local Mean Decomposition (LMD). To efficiently understand the complicated relationships within the UWA channel data, our proposed technique integrates Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) which captures both spatial and temporal dependencies by using the capabilities of both CNNs and RNN s, allowing for a comprehensive understanding of the UW A channel properties. In addition, we use LMD as a post-processing step at the receiver. LMD enables us to extract meaningful information from noisy signals, improving the accuracy of the estimated underwater acoustic channel. We can limit the negative impacts of noise and interference on received signals by successfully mitigating noise from them, resulting in increased performance. We performed simulations to compare the performance of our proposed model with conventional underwater acoustic channel estimation strategies. Results from simulations show that our approach surpasses these existing algorithms on key parameters including bit error rate (BER) and signal-to-noise ratio (SNR). These results suggest that our technique has a lot of potential for enhancing the reliability and efficiency of underwater acoustic communication systems in complicated underwater environments. The implications of our proposed method are significant, since it allows for improved performance in severe underwater environments. Our method improves the overall reliability of underwater communication systems by giving more precise estimations of the underwater acoustic channel. This remarkable development has far-reaching impli

关键词： Wireless sensor networks Accuracy Recurrent neural networks Bit error rate Channel estimation Estimation Receivers Reliability Underwater acoustics Signal to noise ratio

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Research on the Distribution Characteristics of Standardized Big data Resources Based on data Visualization - - Taking Standardization Practice in Shandong Province as an Example 9

Research on the Distribution Characteristics of Standardized...

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9th IEEE International Conference on data Science in Cyberspace, DSC 2024

作者： Sun, Jinyang Peng, Dongdong Lu, Zhe Zhai, Mengran Qi, Ning Qi, Yuanhua SHANDONG SCICOM Information and Economy Research Institute Co. Ltd. Jinan China Jinan Municipal Bureau of Big Data Jinan China Shandong Institute of Economy and Informatization Development Jinan China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China

ISBN: (纸本)9798350391367

Standardized big data, as a product of the combination of big data and standardization work, objectively reflects the status quo and trends of standardization work. An in-depth study of the distribution characteristics of standardized big data resources has important value for improving the efficiency of standardization. Therefore, this paper explores the characteristics of the distribution of standardization resources from the dimensions of spatial and temporal distribution, industry distribution, standard type distribution, and distribution of think tank experts through visual analysis methods. The study shows that: (1) the distribution of standardization resources in Shandong Province presents significant hierarchical and geographical characteristics;(2) from the viewpoint of the distribution of industry types and standard types, the distribution of standardization resources in Shandong Province presents a typical "long-tailed distribution";(3) the distribution of think-tank experts presents obvious "agglomeration effect". © 2024 IEEE.

关键词： data consistency

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Identifying data Breaches in Dark Web through Prompt Active Learning

Identifying Data Breaches in Dark Web through Prompt Active ...

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IEEE International Conference on data Science in Cyberspace (DSC)

作者： Hui Xiang Yifan Wu Xuebin Wang Jinqiao Shi Can Zhao Jiapeng Zhao School of Cyberspace Security Beijing University of Posts and Telecommunications Beijing China The State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Institute of Information Engineering Chinese Academy of Sciences Beijing China

ISBN: (数字)9798350391367

ISBN: (纸本)9798350391374

Frequent data breaches have attracted people’s attention. The dark web forums have become the crucial platform for data breach transactions. While some forums are well-organized with distinct sections, such as a dedicated area for leaks where most threads are related to data breaches, others lack clear segmentation, like Fear Forum. Hackers conduct a variety of discussions there so it is filled with tons of non-data breach information and building a data breach dataset for a classifier requires huge human resources. The content of these threads is diverse and complex, spanning various fields, and containing specific terminology in the dark web. Identifying data breach threads in these forums is extremely challenging for the model. With the influx of new threads every day the static model trained on old data may not perform well when processing new data, which also brings serious difficulty to identification. To address these challenges, we first design Prompt-based Active Learning (PAL) to guide the model to identify through prompts and select high-quality samples for annotation. Then we propose a system that combines PAL and DarkBERT. Our system can not only greatly reduce annotation costs but also continuously learn and update itself with the new informative data selected by PAL. Through rich experiments on a data breach dataset, we demonstrate that our system effectively identifies breach threads and PAL significantly outperforms other baselines. We also search for the optimal prompt templates to improve system performance.

关键词： Dark Web Costs Annotations Terminology Instruction sets System performance Active learning Semantics data breach data models

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Energy-Efficient Routing Protocol Based on data Dissemination for Underwater Wireless Sensor Network

Energy-Efficient Routing Protocol Based on Data Disseminatio...

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OCEANS

作者： Xuerui Liu Feng Zhou National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security Harbin Engineering University Ministry of Industry and Information Technology Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

Underwater wireless sensor network (UWSN) has attracted much research interest in recent years, especially suitable routing protocols. In this paper, we design a multi-hop energy-efficient routing protocol based on data distribution. Specifically, we consider the actual underwater three-dimensional model, which results in severe energy consumption. During data transmission, relay nodes will serve for data distribution for the purpose of energy efficiency, where the nodes farther away from the surface sink node undertake fewer data forwarding tasks. The amount of data transmitted by each relay node is quantitatively related to the distance. Meanwhile, the TDMA MAC protocol is reasonably applied to the acoustic link. The simulations demonstrate that our routing protocol outperforms the reference algorithms in terms of network lifetime and energy consumption balance.

关键词：

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A Q-Learning-Based Multi-Hop Energy-Efficient and Low Collision MAC Protocol for Underwater Acoustic Wireless Sensor Networks

A Q-Learning-Based Multi-Hop Energy-Efficient and Low Collis...

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International Bhurban Conference on Applied Sciences & technology, IBCAST

作者： Wazir Ur Rahman Qiao Gang Zhou Feng Zahid Ullah Khan Muhammad Aman Irfan Ullah National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology (Harbin Engineering University) Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350308259

ISBN: (纸本)9798350308266

Underwater acoustic wireless sensor networks (UAWSNs) are being confess as a valuable tool for studying and monitoring aquatic environments. However, the unique characteristics of acoustic communication in UAWSNs present significant challenges. These challenges include high latency, which refers to delays in transmitting data, low available bandwidth, which limits the amount of data that can be transmitted, and a high bit error rate, which refers to errors that occur during the transmission of data. Addressing these aforementioned challenges is critical to the successful deployment and operation of UAWSNs for environmental monitoring and other applications. Contention-based medium access control (MAC) protocols are not suited for use in UAWSNs because to their lower efficiency as compared to terrestrial networks because of the distinctive attributes of UAWSNs. To address this issue, a contention-free MAC protocol is deemed more suitable, as it offers greater reliability and flexibility in overcoming the challenges posed by acoustic signals. This protocol may also increase the network's throughput and energy efficiency by removing the potential of collisions, thereby achieving high performance. In this research, we proposed a new multi-hop energy-efficient and low collision MAC protocol using Q-learning technique for UAWSNs. The proposed MAC protocol is designed to address the challenges of UAWSNs, such as low available bandwidth, high latency, and high bit error rate. By utilizing a Q-learning approach, the protocol is able to make informed decisions in selecting the optimal communication path while minimizing energy consumption and reducing the occurrence of collisions. This is achieved through a multi-hop approach that allows for efficient data transmission across the network. The protocol's energy efficiency and collision avoidance capabilities make it a promising candidate for use in various underwater applications, including environmental monitoring, underwater

关键词： Wireless sensor networks Energy consumption Protocols Q-learning Media Access Control Spread spectrum communication Throughput Energy efficiency Environmental monitoring Underwater acoustics

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Search-based software debugging using weighted fault propagation graphs

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International Journal of Performability Engineering 2019年第12期15卷 3179-3186页

作者： Fang, Bingwu Li, Yong Wang, Yong Cheng, Xiangyu Xu, Zhaohui School of Yungui Information Anhui Finance and Trade Vocational College Hefei230601 China Ministry of Industry and Information Technology Nanjing210000 China Data Security Key Laboratory Xinjiang Normal University Urumqi830054 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing210000 China School of Computer and Information Anhui Polytechnic University Wuhu241000 China Co. LTD Shanghai201100 China

Manual program debugging is tedious as well as time-consuming. The high costs have motivated the development of automatic program debugging approaches, which mainly focus on helping programmers identify fault locations. Xie et al. revisited automatic debugging via human focus-tracking to validate its effectiveness. However, their observations implied that there exists interference between the mechanism of the automated debugging approach and the actual assistance needed by programmers during program debugging. To solve this problem, we propose a search-based software debugging approach based on weighted fault propagation graphs (WFPG). We firstly use spectrum-based fault localization techniques to generate a suspicious module-fault ranking list and then construct a WFPG for each suspicious program module to assist programmers in understanding fault propagation. Our approach integrates automatic fault localization and program understanding to help programmers debug. We conduct a case study to demonstrate the effectiveness of our approach, and the results are promising. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Program debugging

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