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3rd International Conference on Signal Image Processing and Communication, ICSIPC 2023

作者： Wang, Yang Wang, Tao Shen, Tongsheng Qiao, Gang Zhou, Feng National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin150001 China Key Laboratory of Marine Information Acquisition and Security Harbin Engineering University Ministry of Industry and Information Technology Harbin150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China National Innovation Institute of Defense Technology Beijing100071 China

ISBN: (纸本)9781510670945

Strongly robust signal feature construction is paramount to improve the accuracy of underwater acoustic (UWA) communication signal modulation recognition. But the ambient noise in the underwater channel confuses the signal features, and the single feature extraction technique poses huge difficulties to the modulation identification. In this paper, various feature extraction methods are advanced for several commonly used modulation signals in UWA communication systems. We analyze the differences in their features, and validate the advantages of multi-feature fusion in characterizing signal differences. Firstly, the time-frequency maps of different signals are gained by continuous wavelet transform (CWT) theory. Secondly, we propose the two strongest spectral lines extraction method based on power spectrum and autocorrelation spectrum, and the second strongest spectral line amplitude is used as a new and more obvious feature parameter. Thirdly, two correlation coefficient features based on circular spectral are constructed. Through analyzing the simulation data, the results show that different signal feature extraction techniques provide richer analysis domains and the multi-domain fusion features have more robust performance under signal-to-noise ratio (SNR) of 3dB. © 2023 SPIE.

关键词： Underwater acoustics

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Target detection algorithm in side-scan sonar image based on pixel importance value measurement

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Chinese Journal of Acoustics 2020年第3期39卷 329-340页

作者： BIAN Hongyu CHEN Yiming ZHANG Zhigang WEI Mingzhe Acoustic Science and Technology Laboratory Harbin Engineering UniversityHarbin 150001 Peng Cheng Laboratory Shenzhen 518000 Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University) Ministry of Industry and Information TechnologyHarbin 150001 College of Underwater Acoustic Engineering Harbin Engineering UniversityHarbin 150001 Intelligence and Information Engineering College Tangshan UniversityTangshan 063000

Side-scan sonar detection application always combines with unstable results.A two-stage novel pixel importance value measurement algorithm is proposed to stabilize the detection ability and false alarm probability *** first stage of the algorithm,a new feature defined as pixel importance value(PIV)is proposed in terms of distances between the target pixel and each other *** measurement of current pixel is defined as the weighted sum of all remaining segmented *** weighted part refers to Gaussian kernel,which means closer pixels gets higher ***,targets with higher PIV can be *** the second stage,we use convolutional neural network as classifier to eliminate the dot-like false *** experiment data is obtained by autonomous underwater vehicle,where we demonstrate superior performance of our algorithm over the state-of-the-art sonar detection algorithms in terms of 90.39% recall rate and 2.39% false alarm probability.

关键词： algorithm false value

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Suppression of Cross-Terms in the Wigner-Ville Distribution of Underwater Static Target Echo

Suppression of Cross-Terms in the Wigner-Ville Distribution ...

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2024 OES China Ocean Acoustics, COA 2024

作者： Xu, Wencheng Li, Xiukun Yu, Ge Harbin Engineering University National Key Laboratory of Underwater Acoustic Technology China Harbin Engineering University Ministry of Industry and Information Technology Key Laboratory of Marine Information Acquisition and Security China Harbin Engineering University College of Underwater Acoustic Engineering Harbin China Engineering University Sanya Nanhai Innovation and Development Base of Harbin Sanya Harbin China

ISBN: (纸本)9798350340297

The echo information components of underwater static targets are intricate and encompass vital details regarding target shape and structure. When the active sonar emission signal adopts a linear frequency modulation (LFM) signal, the target echo comprises superimpositions of multiple LFM signals with varying amplitudes and delays. Although the Wigner-Ville distribution (WVD) serves as a potent tool for analyzing LFM signals, the WVD for multicomponent LFM signals yields numerous cross-terms. These cross-terms impede further assessment of signal quantity and information content. Consequently, in this study, a novel approach to suppress cross-terms is proposed. By extracting the WVD along the frequency slope direction, the extracted results undergo filtering via a window function and are subsequently multiplied by a summation suppression factor to further attenuate cross-terms and noise. Moreover, in this study, a comparative analysis of different window functions is conducted. Simulation experiments and practical data processing confirm the effectiveness of the proposed method in this study. © 2024 IEEE.

关键词： Wigner-Ville distribution

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Navigation Calibration Algorithm Assisted by Single Beacon

Navigation Calibration Algorithm Assisted by Single Beacon

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IEEE International Conference on Signal Processing, Communications and Computing

作者： Jucheng Zhang Lan Qin Dajun Sun Yunfeng Han Acoustic Science and Technology Laboratory (Harbin Engineering University) Key Laboratory of Marine Information Acquisition and Security (Ministry of Industry and Information Technology) Harbin China

Autonomous underwater vehicle has become an important tool to replace human beings to complete abyssal operations and missions. As the most widely used positioning and navigation technology, inertial navigation system integrated with doppler velocity log to carry out dead reckoning exists significant shortcomings of positioning error accumulated over time. In this paper, on the background of the modification and calibration of inertial navigation drift, a positioning and navigation algorithm based on the principle of indirect adjustment is proposed, which takes single-beacon range information and velocity information as the observation quantity. This paper builds a single-beacon navigation model and analyzes its observability, as well as evaluates the positioning accuracy. The simulation analysis and lake test data processing show that the algorithm can effectively suppress the divergence of inertial navigation error and realize the AUV's long-time high-precision navigation.

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Design and Verification of Wake-up Signal for Underwater Nodes

Design and Verification of Wake-up Signal for Underwater Nod...

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IEEE International Conference on Signal Processing, Communications and Computing

作者： Dajun Sun YujieOuyang Yunfeng Han Jucheng Zhang Acoustic Science and Technology Laboratory (Harbin Engineering University) Key Laboratory of Marine Information Acquisition and Security (Ministry of Industry and Information Technology) Harbin China

The construction and improvement of the underwater acoustic network is the premise and guarantee for the development of the marine industry. Because the underwater nodes need to work for a long time, it is especially important to ensure that the nodes have a long standby capacity. In general, the node is in a low-power standby state waiting for a wake-up signal. When the node detects the wake-up signal, it will resume normal operation. In this paper, we propose a signal design based on the m-sequence. which can detect the hidden awakening signal in the complex environment with low SNR and small Doppler shift. Simulation and experimental data indicate that when the input SNR is as low as -11dB and the signal has a small Doppler shift, the system can still achieve a detection probability of 100% and ensure that the false alarm probability is lower than 10~(-6).

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Disentangling the Individual-Shared and Individual-Specific Subspace of Altered Brain Functional Connectivity in Autism Spectrum Disorder (Vol 95, pg 870, 2024)

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BIOLOGICAL PSYCHIATRY 2024年第9期95卷 909-909页

作者： Shan [a]Sichuan Provincial Center for Mental Health Sichuan Provincial People's Hospital School of Life Science and Technology University of Electronic Science and Technology of China Chengdu China [b]Ministry of Education Key Lab for Neuroinformation High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu China [c]Department of Psychiatry and Biobehavioral Sciences University of California Los Angeles Los Angeles California [d]College of Blockchain Industry Chengdu University of Information Technology Chengdu China

Background Despite considerable effort toward understanding the neural basis of autism spectrum disorder (ASD) using case-control analyses of resting-state functional magnetic resonance imaging data, findings are often not reproducible, largely due to biological and clinical heterogeneity among individuals with ASD. Thus, exploring the individual-shared and individual-specific altered functional connectivity (AFC) in ASD is important to understand this complex, heterogeneous disorder. Methods We considered 254 individuals with ASD and 295 typically developing individuals from the Autism Brain Imaging data Exchange to explore the individual-shared and individual-specific subspaces of AFC. First, we computed AFC matrices of individuals with ASD compared with typically developing individuals. Then, common orthogonal basis extraction was used to project AFC of ASD onto 2 subspaces: an individual-shared subspace, which represents altered connectivity patterns shared across ASD, and an individual-specific subspace, which represents the remaining individual characteristics after eliminating the individual-shared altered connectivity patterns. Results Analysis yielded 3 common components spanning the individual-shared subspace. Common components were associated with differences of functional connectivity at the group level. AFC in the individual-specific subspace improved the prediction of clinical symptoms . The default mode network–related and cingulo-opercular network–related magnitudes of AFC in the individual-specific subspace were significantly correlated with symptom severity in social communication deficits and restricted, repetitive behaviors in ASD. Conclusions Our study decomposed AFC of ASD into individual-shared and individual-specific subspaces, highlighting the importance of capturing and capitalizing on individual-specific brain connectivity features for dissecting heterogeneity. Our analysis framework provides a blueprint for parsing heterogeneity in other

关键词： Altered functional connectivity ASD heterogeneity Common orthogonal basis extraction

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Measurement-based analysis of characteristics of fast moving underwater acoustic communication channel

Measurement-based analysis of characteristics of fast moving...

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2022 International Conference on Frontiers of information technology, FIT 2022

作者： Wang, Yang Yan, Honglu Pan, Chenyu Liu, Songzuo Chinese Academy of Sciences State Key Laboratory of Acoustics Beijing100190 China Maritime Environment Construction Office Beijing100081 China Harbin Engineering University Ministry of Industry and Information Technology Key Laboratory of Marine Information Acquisition and Security Harbin150001 China Harbin Engineering University College of Underwater Acoustic Engineering Harbin150001 China

ISBN: (纸本)9798350345933

In the fast moving scene, the underwater acoustic communication (UWAC) channel has extremely complex time-varying characteristics. The lack of standardized channel model severely limits the development of mobile UWAC technology. In this paper, the channel time-varying impulse response (TVIR) is estimated based on the measured mobile UWAC data, and the correlation coefficient, spread function and envelope of the channel are analyzed. The analysis results show that the fast movement between the transmitter and the receiver will lead to serious deviation and amplitude variation of the multipath arrival time, which will cause large Doppler frequency offset and spread, and lead to the decline of channel correlation. In this paper, the statistical characteristics of the measured channel are analyzed, which is helpful to the development of mobile UWA channel model. © 2022 IEEE.

关键词： Underwater acoustic communication

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Sustainability Forecasting for Deep Learning Packages 31

Sustainability Forecasting for Deep Learning Packages

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31st IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2024

作者： Han, Junxiao Wang, Yunkun Liu, Zhongxin Bao, Lingfeng Liu, Jiakun Lo, David Deng, Shuiguang School of Computer & Computing Science Hangzhou City University Hangzhou China College of Computer Science and Technology Zhejiang University Hangzhou China Zhejiang University The State Key Laboratory of Blockchain and Data Security Hangzhou China School of Computing and Information Systems Singapore Management University Singapore Singapore

ISBN: (纸本)9798350330663

Deep Learning (DL) technologies have been widely adopted to tackle various tasks. In this process, through software dependencies, a multi-layer DL supply chain (SC) is formed, with DL frameworks acting as the root, DL packages acting as the bridge nodes, and downstream DL projects acting as the periphery. However, most Open Source Software (OSS) projects may fail. Considering the crucial position of DL packages in the DL SC, to foster the sustainable development of DL SCs and DL packages, we aim to forecast the long-term sustainability of DL packages. Here, sustained activity is adopted as the main proxy of sustainability, and the sustainability status is classified as 'sus-tainable' or 'dormant'. Relatedly, a DL package is considered as 'sustainable' if it has sustained activity in its last 12 months. Otherwise, it is deemed as 'dormant'. To this end, we propose an approach that begins with obtaining longitudinal features for each DL package in each month. Then, we develop a model to forecast the sustainability of DL packages by incorporating the longitudinal features, which can aptly predict sustainability with an accuracy of up to 0.81. Subsequently, an interpretable module is developed to interpret the determinants (i.e., important features) that impact the sustainability of DL packages. Finally, we generate sustainability trajectories for each DL package to better understand the monthly changes of their sustainability status. Our findings uncover that for most DL packages, fewer but more centralized developers and a balanced collaboration are more likely to help sustain the DL packages. Furthermore, although some DL packages are sustainable, their sustainability trajectories present statistically decreasing trends over time. Based on the findings, we shed light on the dynamic sustainability of DL packages, highlight future research directions, and provide practical suggestions to DL package maintainers, developers, users, and software engineering researchers. ©

关键词： Open source software

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Secure Vehicle Platooning Protocol for 5G C-V2X

Secure Vehicle Platooning Protocol for 5G C-V2X

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IEEE International Conference on Big data and Cloud Computing (BdCloud)

作者： Feifei Liu Di Liu Yu Sun Dawei Li Jian Cui Zhenyu Guan Jianwei Liu School of Cyber Science and Technology Beihang University Key Laboratory of Ministry of Industry and Information Technology for Cyberspace Security Beijing China

Recently frozen 3GPP standard Release-16 has introduced vehicle platooning as a novel application in 5G Cellular Vehicle-to-everything (C-V2X), which is a technique to organize a group of close-following vehicles in column, aiming to improve traffic throughput and reduce fuel consumption. However, existing platoon protocols only focused on efficiency and ignored security. In this paper, we present a secure vehicle platooning protocol for 5G C-V2X with fast mutual authentication and efficient group key management. The protocol provides all maneuvers including merging, split, and member leaving with superior independence and flexibility. Relying on the enhanced 5G Authentication and key Agreement (AKA) procedure, pseudo identity and signcryption keys are generated for each vehicle on startup by 5G Core Network (5GC) for conditional anonymity and mutual authentication. Then, a protocol suit covering all platooning maneuvers is proposed based on group key distribution and updating. To prove the security of the proposed protocol, the Tamarin tool was employed to give a formal security verification under Dolev-Yao (DY) model. In addition, performance is analyzed in terms of computation cost and communication overhead, demonstrating its efficiency in authentication and group management.

关键词： Protocols Costs 5G mobile communication Computational modeling Merging Authentication Throughput

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Networked Device Identification: A Survey

Networked Device Identification: A Survey

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IEEE International Conference on data Science in Cyberspace (DSC)

作者： Yu Jiang Yuying Li Yanbin Sun Guangzhou University Guangzhou China CEPREI Key laboratory of Ministry of Industry and Information Technology Information Security Research Center Guangzhou China

ISBN: (纸本)9781665418164

Networked device identification technology is the basis for researchers to locate specific targets and collect intelligence. It is also necessary means to maintain the security of information infrastructure. Networked device identification can be used in many fields, such as threat perception and early warning, device authentication, anti-identification, and enterprise understanding of equipment asset distribution. It is of great significance to defend network attacks and maintain network security. However, there are few reviews on networked device identification. In this paper we divide the whole device identification technology into three parts: data processing analysis, device identification method, and device identification system evaluation. At the same time, the difficulties of current device identification technology are analyzed, and the future trend of device identification is prospected.

关键词： Conferences Cyberspace Authentication Network security data science Market research data processing

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