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An improved least mean square/fourth direct adaptive equalizer for under-water acoustic communications in the Arctic

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Acta Oceanologica Sinica 2020年第9期39卷 133-139页

作者： Yanan Tian Xiao Han Jingwei Yin Hongxia Chen Qingyu Liu Acoustic Science and Technology Laboratory Harbin Engineering UniversityHarbin 150001China Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University) Ministry of Industry and Information TechnologyHarbin 150001China College of Underwater Acoustic Engineering Harbin Engineering UniversityHarbin 150001China First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China Naval Research Academy Beijing 100161China

An improved least mean square/fourth direct adaptive equalizer(LMS/F-DAE)is proposed in this paper for underwater acoustic communication in the *** is able to process complex-valued baseband signals and has better equalization performance than *** the sparsity feature of equalizer tap coefficients,an adaptive norm(AN)is incorporated into the cost function which is utilized as a sparse *** norm constraint changes adaptively according to the amplitude of each *** small-scale coefficients,the sparse constraint exists to accelerate the convergence *** large-scale coefficients,it disappears to ensure smaller equalization *** performance of the proposed AN-LMS/F-DAE is verified by the experimental data from the 9th Chinese National Arctic Research *** results show that compared with the standard LMS/F-DAE,AN-LMS/F-DAE can promote the sparse level of the equalizer and achieve better performance.

关键词： underwater acoustic communication the Arctic direct adaptive equalizer adaptive norm

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The Gradient-type Least-squares Deconvolution Multipath Underwater Acoustic Channel Estimation

The Gradient-type Least-squares Deconvolution Multipath Unde...

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2021 OES China Ocean Acoustics, COA 2021

作者： Huang, Tianfeng Peng, Qiuying Lv, Yunfei Mei, Jidan Harbin Engineering University Acoustic Science and Technology Laboratory Harbin150001 China Harbin Engineering University Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin150001 China

ISBN: (纸本)9781728181905

An algorithm for multipath time-delay estimation using the Gradient-type procedure to achieve the least-squares (LS) deconvolution is given to obtain a better resolution and estimation accuracy. It uses circular convolution to calculate the circulant matrix, instead of the program of traditional LS algorithm, making it more suitable to process long data. Compared with the matched filtering (MF) algorithm, it could obtain a time-delay resolution better than 1/B, and also be used in negative channels estimating. © 2021 IEEE.

关键词： Timing circuits

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A Secure Comparison Protocol in the Malicious Model 15

A Secure Comparison Protocol in the Malicious Model

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2022 IEEE Congress on Cybermatics: 15th IEEE International Conferences on Internet of Things, iThings 2022, 18th IEEE International Conferences on Green Computing and Communications, GreenCom 2022, 2022 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2022 and 8th IEEE International Conference on Smart data, Smartdata 2022

作者： Tao, Junhong Wu, Yongtang Chen, Yuling Guizhou University State Key Laboratory of Public Big Data College of Computer Science and and Technology Guiyang China Guilin University of Electronic Technology Guangxi Key Laboratory of Cryptography and Information Security Guilin China Weifang University of Science and Technology Blockchain Laboratory of Agricultural Vegetables WeiFang China Weifang Key Laboratory of Blockchain on Agricultural Vegetables WeiFang China

ISBN: (数字)9781665454179

ISBN: (纸本)9781665454179

Secure comparison is an important problem in the field of secure computing. A classic example is the Millionaires' problem, which is securely compares the wealth of two millionaires without revealing their wealth. However most traditional secure comparison protocol requires autonomous computation among the participants. It is necessary to ensure that the model of the participants is a semi-honest model, otherwise the protocol will not be able to execute correctly. In this paper, we introduce a semi-honest judge to improve the Damgård-Geisler-KrOigaard(DGK) comparison protocol by using techniques such as zero-knowledge proof and homomorphic encryption. The improved protocol is not only applicable to the malicious participant model, but also the introduced judge would not get any information of data. At last, the security analysis shows that the proposed scheme in this paper can guarantee the data fairness of the comparison protocol while ensuring the privacy security of the participants. © 2022 IEEE.

关键词： Cryptography

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Underwater Weak Target Detection Algorithm Based on Space-time Distribution Processing 4

Underwater Weak Target Detection Algorithm Based on Space-ti...

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4th International Conference on information Communication and Signal Processing, ICICSP 2021

作者： Sun, Chang Sheng, Xueli Wang, Jiaqi Mu, Mengfei Cao, Ran College of Underwater Acoustic Engineering Harbin Engineering University Ministry of Industry and Information Technology Acoustic Science and Technology Laboratory Key Laboratory of Marine Information Acquisition and Security Harbin Engineering University Harbin150001 China

ISBN: (纸本)9781665407571

Based on the space-time distribution map obtained from long-term observation of fixed sonar, multi-frame data correlation is realized according to the time and space continuity of the target. Use a linear function fitting algorithm to predict the target angle of a missing frame which can prevent the track truncation caused by miss of target. Then the minimum continuous correlation points and the maximum allowable loss points in the algorithm are set through probability calculation to reduce the false alarm probability. Simulation results show that the algorithm can achieve weak target detection. © 2021 IEEE.

关键词： Signal detection

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A Rational Delegating Computation Protocol Based on Smart Contract 14th

A Rational Delegating Computation Protocol Based on Smart Co...

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14th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2021

作者： Ma, Juan Chen, Yuling Liu, Guoxu Zhu, Hongliang Peng, Changgen State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China Blockchain Laboratory of Agricultural Vegetables Weifang University of Science and Technology Shouguang China Engineering Lab for Cloud Security and Information Security Center of BUPT Beijing China

ISBN: (纸本)9783030898137

The delegating computation has become an irreversible trend, together comes the pressing need for fairness and efficiency issues. To solve this problem, we leverage game theory to propose a smart contract-based solution. Firstly, according to the behavioral preferences of the participants, we design an incentive contract to describe the motivation of the participants. Secondly, to satisfy the fairness of the rational delegating computation, we propose a delegating computation protocol based on the smart contract. Specifically, rational participants are to gain the maximum utility and reach the Nash equilibrium in the protocol. Besides, we design a reputation mechanism with a reputation certificate, which measures the reputation from multiple dimensions. And the reputation is used to assure the client’s trust in the computing party to improve the efficiency of the protocol. Finally, the analysis results show that the proposed protocol solves the complex traditional verification problem. Meanwhile, we prove the fairness and correctness of the protocol. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Smart contract

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Joint-Motion Mutual Learning for Pose Estimation in Video 24

Joint-Motion Mutual Learning for Pose Estimation in Video

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32nd ACM International Conference on Multimedia, MM 2024

作者： Wu, Sifan Chen, Haipeng Yin, Yifang Hu, Sihao Feng, Runyang Jiao, Yingying Yang, Ziqi Liu, Zhenguang College of Computer Science and Technology Jilin University Changchun China A STAR Singapore Singapore Georgia Institute of Technology AtlantaGA United States School of Artificial Intelligence Jilin University Changchun China The State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Institute of Blockchain and Data Security Hangzhou China

ISBN: (纸本)9798400706868

Human pose estimation in videos has long been a compelling yet challenging task within the realm of computer vision. Nevertheless, this task remains difficult because of the complex video scenes, such as video defocus and self-occlusion. Recent methods strive to integrate multi-frame visual features generated by a backbone network for pose estimation. However, they often ignore the useful joint information encoded in the initial heatmap, which is a by-product of the backbone generation. Comparatively, methods that attempt to refine the initial heatmap fail to consider any spatio-temporal motion features. As a result, the performance of existing methods for pose estimation falls short due to the lack of ability to leverage both local joint (heatmap) information and global motion (feature) dynamics. To address this problem, we propose a novel joint-motion mutual learning framework for pose estimation, which effectively concentrates on both local joint dependency and global pixel-level motion dynamics. Specifically, we introduce a context-aware joint learner that adaptively leverages initial heatmaps and motion flow to retrieve robust local joint feature. Given that local joint feature and global motion flow are complementary, we further propose a progressive joint-motion mutual learning that synergistically exchanges information and interactively learns between joint feature and motion flow to improve the capability of the model. More importantly, to capture more diverse joint and motion cues, we theoretically analyze and propose an information orthogonality objective to avoid learning redundant information from multi-cues. Empirical experiments show our method outperforms prior arts on three challenging benchmarks. © 2024 ACM.

关键词： Motion estimation

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Graph-Based Terminal Ranking for Sparsification of Interference Coordination Parameters in Ultra-Dense Networks 10th

Graph-Based Terminal Ranking for Sparsification of Interfere...

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10th EAI International Conference on Mobile Networks and Management, MONAMI 2020

作者： Gou, Junxiang Wang, Lusheng Lin, Hai Peng, Min Ministry of Education School of Computer Science and Information Engineering Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Hefei230601 China Ministry of Education School of Cyber Science and Engineering Key Laboratory of Aerospace Information Security and Trusted Computing Wuhan University Wuhan430072 China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei230601 China

ISBN: (纸本)9783030640019

In the future mobile communication system, inter-cell interference becomes a serious problem due to the intensive deployment of cells and terminals. Traditional interference coordination schemes take long time for optimization in ultra-dense networks. Meanwhile, due to the increase of factors affecting communication and in order to better meet the communication needs of each terminal, an interference coordination scheme needs to fully consider multiple characteristic parameters of the terminal, which will further increase the scheme’s computational time. Therefore, we should compress all the data through sparsification of parameters before optimization. There are many terminal parameters, and the essence of sparsification of parameters is to rank terminals. In this paper, a graph-based terminal ranking scheme is designed. First, each terminal can be represented by its multiple parameters. Then, all terminals are used as the vertexes in the graph to form a complete weighted graph, and edge weights represent the degree of dissimilarity between terminals. A ranking of terminals is obtained by finding a minimum Hamiltonian path in the graph. Finally, the ranking of all parameter sequences is obtained according to terminals ranking, which makes the sparsity of all parameter sequences better. Simulation results show that the proposed scheme can accomplish sparsification of parameter sequences effectively, especially when the number of sequences increases. In addition, compared with the optimal coordination of traditional scheme, this scheme improves the fairness of the system while ensuring high system capacity, and dramatically reduces the computational time of interference coordination. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020.

关键词： Approximation algorithms

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Mixer-transformer: Adaptive anomaly detection with multivariate time series

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Journal of Network and Computer Applications 2025年 241卷

作者： Xing Fang Yuanfang Chen Zakirul Alam Bhuiyan Xiajun He Guangxu Bian Noel Crespi Xiaoyuan Jing Hangzhou Dianzi University 310018 Hangzhou China The State Key Laboratory of Blockchain and Data Security Zhejiang University 310027 Hangzhou China Department of Computer and Information Sciences Fordham University 10469 Bronx NY USA Telecom SudParis Institut Polytechnique de Paris 91120 Palaiseau France Wuhan University 430072 Wuhan China Guangdong University of Petrochemical Technology 528000 Maoming China

Anomaly detection is crucial for maintaining the stability and security of systems. However, anomaly detection systems often generate numerous false positives or irrelevant alerts, which obscure genuine security threats. To both reduce false positives in time series detection and accurately identify the source of anomalies, leveraging artificial intelligence techniques has emerged as a promising solution. These techniques can analyze strong temporal correlations and dynamic variations across different data frames. Existing detection methods face two primary challenges leading to false positives or negatives: (i) detecting anomalies in multivariate time series requires accounting for both temporal dependencies and complex interactions between variables; and (ii) traditional fixed-threshold approaches often struggle to adapt to dynamic environments. To address these issues, this paper proposes an anomaly detection method based on the Mixer-Transformer architecture. By combining the Mixer model with the Anomaly Transformer, the proposed method effectively captures global dependencies by alternately modeling interactions along both the channel and time dimensions, thereby enhancing its ability to extract complex spatiotemporal features. Additionally, an adaptive threshold update mechanism is employed to dynamically adjust the anomaly detection criteria in response to data fluctuations. The F1 scores on three real-world datasets — SMAP, MSL, and PSM — are 97.49%, 95.18%, and 98.20%, respectively. These results demonstrate that the proposed method outperforms existing technologies in reducing false positives and enhancing the detection accuracy of multivariate time series anomaly detection.

关键词：

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Secure medical data collection via local differential privacy 4

Secure medical data collection via local differential privac...

引用

4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Wang, Zhiqiang Ma, Pingchuan Wang, Ruming Zhang, Jianyi Chi, Yaping Ma, Yanzhe Yang, Tao Anhui Province Key Laboratory of Industry Safety and Emergency Technology Hefei China Beijing Electronic Science and Technology Institute Beijing China Hainan University Haikou China Ministry of Public Security Key Lab of Information Network Security Shanghai China

ISBN: (纸本)9781538683392

As the volume of medical data mining increases, so do the need to preserve patient privacy. And the exposure of medical data may degrade the level of health care service and reduce the trust of patients. Local Differential Privacy (LDP) was proposed to solve problems in the context of local privacy, by which data collectors are hardly to get exact individual information. We present a secure medical data collection framework and apply our framework on synthetic data at different scale. Finally, we evaluate the performance of our work. Our experimental results show that both privacy and validity of medical data are aligned. © 2018 IEEE.

关键词： data acquisition

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Experimental Verification of Vertical Line Array Shape Estimation Based on Single Normal Mode Extraction

Experimental Verification of Vertical Line Array Shape Estim...

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2021 OES China Ocean Acoustics, COA 2021

作者： Tan, Peng Lu, Licheng Ren, Qunyan Yang, Desen Acoustic Science and Technology Laboratory Key Laboratory of Marine Information Acquisition and Security Harbin Engineering University Ministry of Industry and Information Technology College of Underwater Acoustic Engineering Harbin China Chinese Academy of Sciences Key Laboratory of Underwater Acoustic Environment Institute of Acoustics Beijing China

ISBN: (纸本)9781728181905

The shape of the long line array is required to correct signal processing data and locate underwater targets precisely. In this paper, the warping transform form with waveguide invariant (β) is adopted to extract the single normal mode (3rd and 4th) through the compression processing broadband sound source signal of the vertical line array, which is based on underwater acoustic propagation sea trial data conducted in shallow waters of the South China Sea in November 2017. This method verifies the relationship between the single normal mode phase for the vertical line array sound field and shape. The results are consistent with the vertical line array attitude sensor measurement method. © 2021 IEEE.

关键词： Extraction

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