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arXiv 2024年

作者： Zhou, Fei Fu, Maixia Qian, Yulei Yang, Jian Dai, Yimian Ministry of Education Henan Key Laboratory of Grain Photoelectric Detection and Control Henan University of Technology Zhengzhou China Nanjing Marine Radar Institute Nanjing China PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

Infrared small target detection is crucial for the efficacy of infrared search and tracking systems. Current tensor decomposition methods emphasize representing small targets with sparsity but struggle to separate targets from complex backgrounds due to insufficient use of intrinsic directional information and reduced target visibility during decomposition. To address these challenges, this study introduces a Sparse Differential Directionality prior (SDD) framework. SDD leverages the distinct directional characteristics of targets to differentiate them from the background, applying mixed sparse constraints on the differential directional images and continuity difference matrix of the temporal component, both derived from Tucker decomposition. We further enhance target detectability with a saliency coherence strategy that intensifies target contrast against the background during hierarchical decomposition. A Proximal Alternating Minimization-based (PAM) algorithm efficiently solves our proposed model. Experimental results on several real-world datasets validate our method’s effectiveness, outperforming ten state-of-the-art methods in target detection and clutter suppression. Our code is available at https://***/GrokCV/SDD. Copyright © 2024, The Authors. All rights reserved.

关键词： Tensors

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Improved GNSS-IR height measurement method based on locally weighted regression

Improved GNSS-IR height measurement method based on locally ...

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9th International Symposium on Test Automation & Instrumentation (ISTAI 2022)

作者： Z. Luo J. Shang F. Li R. Pang Y. Wang College of Telecommunication Engineering Hangzhou Dianzi University Hangzhou 310018 People's Republic of China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033 People's Republic of China

Global Navigation Satellite System Interferometric reflectance measurement (GNSS-IR) is a new remote sensing technology which uses satellite reflectance signals for monitoring. Aiming at the problems that the current GNSS-IR altimetry in land scenes is rarely applied and the accuracy of the traditional method is low under the reflection surface with high roughness, the traditional GNSS-IR altimetry is improved based on the local weighted regression method. A general navigation receiver method is proposed here, and does not need to use expensive special receiver or geodesic receiver. The local weighted regression method is used to separate the reflected signals to solve the problem of low local fitting accuracy of traditional methods when dealing with complex SNR changes in land scenes. The normalized Lomb-Scargle is used for spectrum analysis to improve the stability when there are few valid observations. The simulation and test results show that the proposed method has a significant improvement in the measurement accuracy compared with the traditional GNSS-IR method in the high-roughness ground scene. The single satellite measurement accuracy can reach within 10cm, and the root mean square error of the dual-frequency and multi-satellite combined altimetry measurement result is 2.62cm.

关键词： height measurement mean square error methods radio receivers regression analysis remote sensing satellite navigation

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Cognitive Method Discussion on Communication Jamming Intelligent Decision 2020

Cognitive Method Discussion on Communication Jamming Intelli...

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2020 International Conference on Aviation Safety and information technology, ICASIT 2020

作者： Jin, Hu Shen, Weiguo Zhao, Fan Science and Technology on Communication Information Security Control Laboratory Research Institute Jiaxing China Electronic Countermeasure Institute National University of Defense Technology Hefei China

ISBN: (纸本)9781450375764

The application of reconfigurable, programmable and cognitive radio technologies in communication systems has put forward new requirements for communication jamming decision. In this paper, the overall scheme of cognition-based jamming communication jamming decision methods is presented first. Then the method of intelligent communication jamming decision based on reinforcement learning is discussed under the condition of a large number of data samples of the communication signal, and how to build the element library of jamming strategy and how to describe the behavior of communication signal are described in detail. Moreover, the real-time dynamic jamming effect evaluation method based on target communication signal behavior learning is also discussed. As a result, an online, self-learning and self-optimizing cognitive jamming closed-loop is realized. © 2020 ACM.

关键词： Reinforcement learning

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SAR Image Processing and Target Detection Based on 2D Singularity Power Spectrum in Time-frequency Domain 5

SAR Image Processing and Target Detection Based on 2D Singul...

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5th IEEE International Conference on Signal and Image Processing, ICSIP 2020

作者： Li, Junye Xiong, Gang Huang, Baigang Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

ISBN: (纸本)9781728168968

A method for SAR image processing and target detection based on two-dimensional singularity power spectrum (2D-SPS) in time-frequency domain is proposed in this paper. Firstly, the two-dimensional pseudo Wigner-Ville distribution (2D-PWVD) is carried out on the SAR image. Then, the two-dimensional singularity power spectrum estimation is performed on the local delay components of 2D-PWVD to obtain the three-dimensional singularity power spectral SAR (SPS-SAR) functions. Furthermore, a novel SAR target detection method based on SPS-SAR is introduced. The proposed methodology is tested on SAR images, both with and without weak targets, from the OpenSAR dataset. Experiment results show that the proposed method performs better than traditional method based on fractal theory, and can achieve higher detection probability in the complex scene with low SNR. It can provide more details for SAR image analysis and offer a new idea for SAR target detection. © 2020 IEEE.

关键词： Power spectrum

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Reconfigurable Metagrating Enabled by Shape Memory Polymers

Reconfigurable Metagrating Enabled by Shape Memory Polymers

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IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)

作者： Sidi Wang Kai Feng Jianjia Yi Key Laboratory of Integrated Services Network Xidian University Xi’an China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin China School of Information and Communications Engineering Xi’an Jiaotong University Xi’an China State Key Laboratory of Millimeter Waves Southeast University Nanjing China

We propose and demonstrate a shape-controlled metagrating with adjustable energy distribution based on shape memory Polymers (SMPs). The design consists of a capacitance printed on the top of the FR4 substrate, SMPs substrate (VeroWhitePlus) in the middle layer, and a metallic ground at the bottom. Using the perfect diffraction theory to design reconfigurable metagratings based on shape memory polymers is. Furthermore, the functionalities of the designed shape-controlled tunable metagrating are investigated by full-wave simulations. Simulation results show that the reconfigurable metagrating can achieve energy bisection of +1, -1 order and the energy trisection of +1, 0, -1 order. And the proposed reconfigurable metagrating is experimentally demonstrated. The design breaks through the limitation that the traditional electrically tunable reconfigurable metagratings need external power supply, and provides a new design idea for the dynamic control of energy distribution of the reconfigurable metagratings.

关键词： Radio frequency Shape Diffraction Simulation Switched mode power supplies Process control Holography

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A Long Synthetic Aperture Passive Localization Method Using Two Planes

A Long Synthetic Aperture Passive Localization Method Using ...

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IEEE International Conference on Radar

作者： Bowei Chen Yuqi Wang Guang-Cai Sun Mengdao Xing Zijing Zhang Xiaoniu Yang National Laboratory of Radar Signal Processing Xidian University Xi'an China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665468893

A long synthetic aperture passive localization algorithm is proposed in this paper. First of all, the Doppler change rate of signal can be measured by the image contrast and then, grid points are divided within the maximum possible latitude and longitude of the emitter location, the Doppler change rate at each grid point can be calculated by using known position and velocity of the receiver. The grid points at which the calculated Doppler change rate is equal to the value measured by the received signal form an isoline. Two receivers can draw two isolines on the ground and the intersection of the isolines gives estimate of the emitter location.

关键词： Location awareness Passive radar Chirp Estimation Receivers Apertures Position measurement

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A code clone detection algorithm based on graph convolution network with AST tree edge

A code clone detection algorithm based on graph convolution ...

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IEEE International Conference on Software Quality, Reliability and security Companion (QRS-C)

作者： Zhicheng Lu Ruochen Li Huamiao Hu Wen-an Zhou Science and Technology on Communication Information Security Control Laboratory Jiaxing China School of Computer Science Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665478373

Detecting code cloning will prevent it from bringing risks such as vulnerabilities and intellectual property disputes in complex software systems such as large-scale defense software systems and commercial software systems. In the field of deep code clone detection, neural networks such as Tree-CNN and Tree-LSTM, which extract features from AST (abstract syntax tree), can't collect global information of upper and lower nodes, and information can't flow globally, but graph neural network can avoid this problem. This paper presents a method of edging AST, and uses GCN (Graph Convolutional Network) and GAT(Graph Attention Networks) to extract code feature vector. Finally, the experiment is carried out on BigCloneBench data set, using several common binary classification indexes, and analyzing the time consumption, it is concluded that the effect and time efficiency of using graph neural network for code clone detection are significantly improved, especially for the code fragments with completely different semantics.

关键词： Codes Semantics Cloning Software quality Syntactics Feature extraction Software systems

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RSAFormer: A method of polyp segmentation with region self-attention transformer

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Computers in Biology and Medicine 2024年 172卷 108268-108268页

作者： Yin, Xuehui Zeng, Jun Hou, Tianxiao Tang, Chao Gan, Chenquan Jain, Deepak Kumar García, Salvador School of Software Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China School of Cyber Security and Information Law Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian116024 China Symbiosis Institute of Technology Symbiosis International University Pune412115 India Department of Computer Science and Artificial Intelligence Andalusian Research Institute in Data Science and Computational Intelligence University of Granada Granada18071 Spain

Colonoscopy has attached great importance to early screening and clinical diagnosis of colon cancer. It remains a challenging task to achieve fine segmentation of polyps. However, existing State-of-the-art models still have limited segmentation ability due to the lack of clear and highly similar boundaries between normal tissue and polyps. To deal with this problem, we propose a region self-attention enhancement network (RSAFormer) with a transformer encoder to capture more robust features. Different from other excellent methods, RSAFormer uniquely employs a dual decoder structure to generate various feature maps. Contrasting with traditional methods that typically employ a single decoder, it offers more flexibility and detail in feature extraction. RSAFormer also introduces a region self-attention enhancement module (RSA) to acquire more accurate feature information and foster a stronger interplay between low-level and high-level features. This module enhances uncertain areas to extract more precise boundary information, these areas being signified by regional context. Extensive experiments were conducted on five prevalent polyp datasets to demonstrate RSAFormer's proficiency. It achieves 92.2% and 83.5% mean Dice on Kvasir and ETIS, respectively, which outperformed most of the state-of-the-art models. © 2024 Elsevier Ltd

关键词： Decoding

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Feasibility Analysis of Tactical Radio Station Communication Behaviors Cognition

Feasibility Analysis of Tactical Radio Station Communication...

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Communications technology and Computer science (ACCTCS), Asia-Pacific Conference on

作者： Huaji Zhou Lifeng Yang Zilong Wu Science and Technology on Communication Information Security Control Laboratory Jiaxing China School of Electronic Countermeasures National University of Defense Technology Hefei China

ISBN: (纸本)9781665447034

In the field of electronic countermeasures, it is extremely difficult to effectively identify communication behaviors of tactical radio station by analyzing communication protocols of the non-cooperative organization. Therefore, this work mainly explores the possibility of directly figuring out radio station communication behaviors from the perspective of the physical layer, conducts a theoretical analysis with the US military protocol standard as an example, and simulates the communication behaviors signals. Finally, combined with the autoencoder, experiment results show the feasibility of grasping communication behaviors from the perspective of the physical layer.

关键词： Military standards Military communication Computer science Protocols Military computing Standards organizations Organizations

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TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum

arXiv

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arXiv 2022年

作者： Wang, Jinhuan Chen, Pengtao Xu, Xinyao Wu, Jiajing Shen, Meng Xuan, Qi Yang, Xiaoniu Institute of Cyberspace Security College of Information Engineering Zhejiang University of Technology Hangzhou310023 China School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China Shenzhen518066 China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518000 China Utron Technology Company Ltd. Hangzhou310056 China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou310023 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

Due to the decentralized and public nature of the Blockchain ecosystem, the malicious activities on the Ethereum platform impose immeasurable losses for the users. Existing phishing scam detection methods mostly rely only on the analysis of original transaction networks, which is difficult to dig deeply into the transaction patterns hidden in the network structure of transaction interaction. In this paper, we propose a Transaction SubGraph Network (TSGN) based phishing accounts identification framework for Ethereum. We first extract transaction subgraphs for target accounts and then expand these subgraphs into corresponding TSGNs based on the different mapping mechanisms. In order to make our model incorporate more important information about real transactions, we encode the transaction attributes into the modeling process of TSGNs, yielding two variants of TSGN, i.e., Directed-TSGN and Temporal-TSGN, which can be applied to the different attributed networks. Especially, by introducing TSGN into multi-edge transaction networks, the Multiple-TSGN model proposed is able to preserve the temporal transaction flow information and capture the significant topological pattern of phishing scams, while reducing the time complexity of modeling large-scale networks. Extensive experimental results show that TSGN models can provide more potential information to improve the performance of phishing detection by incorporating graph representation learning. Copyright © 2022, The Authors. All rights reserved.

关键词： Topology

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