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2nd International Conference on Signal Processing, Computer Networks and Communications, SPCNC 2023

作者： Wu, Honglin Li, Xueqiong Lan, Long Xu, Liyang Tang, Yuhua Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China

ISBN: (纸本)9798400716430

Analyzing radar signals from complex Electronic Warfare (EW) environment is a non-trivial task. However, in the real world, the changing EW environment results in inconsistent signal distribution, such as the pulse repetition interval (PRI) mismatch between different detected scenes. In this paper, we propose a novel domain generalization framework to improve the adaptability of signal recognition in changing environments. Specifically, we first design several noise generators to simulate varied scenes. Different from conventional augmentation methods, our introduced generators carefully enhance the diversity of the detected signals and meanwhile maintain the semantic features of the signals. Moreover, we propose a signal scene domain classifier that works in the manner of adversarial learning. The proposed classifier guarantees the signal predictor to generalize to different scenes. Extensive comparative experiments prove the proposed method's superiority. © 2023 ACM.

关键词： Electronic warfare

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Protocol-Aware Process Placement for MPI Programs

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Chinese Journal of Electronics 2025年第4期23卷 701-705页

作者： Xinhai Xu Yufei Lin Xuejun Yang State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China

Current parallel programs are often composed of lots of processes that communicate through message passing. The mapping of the program processes onto the underlying processor. By analyzing the MPI library, we find that the communication protocols have great influence upon the communication characteristics. The profiling information used by the existing process placement methods does not include the communication protocols. We propose and implement a method called Protocol-aware process placement (PaPP) to incorporate the influences of communication protocols into the mapping problem. We demonstrate the validations of PaPP by the experiments using NPB3.3-MPI benchmarks. The experimental results show that compared to basic process placement, the average execution time when using PaPP scheme is reduced by 9.5%.

关键词： Protocols Costs Message passing Benchmark testing Parallel processing Parallel machines Libraries Data mining

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Multi-Restricted Point Cloud Adversarial Attack based on Sensitivity Maps 5

Multi-Restricted Point Cloud Adversarial Attack based on Sen...

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5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024

作者： Chen, Geng Li, Teng National University of Defense Technology State Key Laboratory of High-Performance Computing Changsha410000 China The College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410000 China

ISBN: (纸本)9798350385557

The point cloud classification networks have been widely applied in 3D Reconstruction and Remote Sensing. The backbone of these networks is often implemented based on Deep Neural Networks (DNNs). Currently, a series of studies confirm that DNNs are vulnerable and susceptible to interference from adversarial samples. The existing strategies for attack and defense are primarily focused on the image domain. Due to the unordered and unstructured nature of point clouds, there has been limited research on attack algorithms for point clouds. Current black-box transferable attack algorithms face a challenge in balancing adversary and imperceptibility. They often lead to either a low Attack Success Rate (ASR) or the emergence of significant outlier points, which can be removed by Statistical Outlier Removal (SOR) methods easily. Inspired by principles from attack algorithm in image domain, this article introduces a novel approach. After extensive evaluation on several mainstream recognition models (such as PointNet++ and DGCNN), we have demonstrated that our black-box transferable attack method achieves state-of-the-art performance. To the best of our knowledge, we are the first to propose a point cloud black box transferable attack algorithm based on improved MI-FGSM. © 2024 IEEE.

关键词： Deep neural networks

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Degenerate polarization entangled photon source based on a single Ti-diffusion lithium niobate waveguide in a polarization Sagnac interferometer

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Chinese Physics B 2023年第8期32卷 69-73页

作者：孙宇孙昌伟周唯杨然端家晨龚彦晓徐平祝世宁 National Laboratory of Solid State Microstructures and School of Physics Nanjing UniversityNanjing 210093China NanZhi Institude of Advanced Optoelectronic Integration Nanjing 210018China Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computer Science and TechnologyNational University of Defense TechnologyChangsha 410073China

Combining a Ti-diffusion periodically poled lithium niobate(PPLN)waveguide with a Sagnac interferometer,two opposite directions type-II spontaneous parametric down conversions(SPDC)occur coherently and yield a high brightness,high stability polarization entanglement *** source produces degenerate photon pairs at 1540.4 nm with a brightness of B=(1.36±0.03)×10^(6) pairs/(s·nm·m W).We perform quantum state tomography to reconstruct the density matrix of the output state and obtain a fidelity of F=0.983±*** high brightness and phase stability of our waveguide source enable a wide range of quantum information experiments operating at a low pump power as well as hold the advantage in mass production which can promote the practical applications of quantum technologies.

关键词： polarization entanglement source Sagnac interferometer quantum information lithium niobate waveguide

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high ORDER FINITE DIFFERENCE HERMITE WENO FAST SWEEPING METHODS FOR STATIC HAMILTON-JACOBI EQUATIONS

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Journal of Computational Mathematics 2023年第6期41卷 1064-1092页

作者： Yupeng Ren Yulong Xing Jianxian Qiu School of Mathematical Sciences Xiamen UniversityXiamenFujian 361005China Department of Mathematics The Ohio State UniversityColumbusOH 43210USA School of Mathematical Sciences and Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific Computing Xiamen UniversityXiamenFujian 361005China

In this paper,we propose a novel Hermite weighted essentially non-oscillatory(HWENO)fast sweeping method to solve the static Hamilton-Jacobi equations *** the HWENO reconstruction procedure,the proposed method is built upon a new finite difference fifth order HWENO scheme involving one big stencil and two small ***,one major novelty and difference from the traditional HWENO framework lies in the fact that,we do not need to introduce and solve any additional equations to update the derivatives of the unknown functionϕ.Instead,we use the currentϕand the old spatial derivative ofϕto update *** traditional HWENO fast sweeping method is also introduced in this paper for comparison,where additional equations governing the spatial derivatives ofϕare *** novel HWENO fast sweeping methods are shown to yield great savings in computational time,which improves the computational efficiency of the traditional HWENO *** addition,a hybrid strategy is also introduced to further reduce computational *** numerical experiments are provided to validate the accuracy and efficiency of the proposed approaches.

关键词： Finite difference Hermite methods Weighted essentially non-oscillatory method Fast sweeping method Static Hamilton-Jacobi equations Eikonal equation

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MUSE: A Programmable Metadata Load Estimation Interface for Ceph File System 29

MUSE: A Programmable Metadata Load Estimation Interface for ...

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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Shao, Xinyang Li, Cheng Xu, Yinlong University of Science and Technology of China Anhui Hefei China Ustc Anhui Province Key Laboratory of High Performance Computing Anhui Hefei China

ISBN: (纸本)9798350330717

CephFS represents a prominent distributed file system that utilizes directory fragment migration to achieve improved runtime balance. However, its imprecise imbalance model and subtree selection algorithms can result in suboptimal performance. Our prior work, Lunule, enhances CephFS by introducing an imbalance factor model and a workload-aware load estimation policy. Nevertheless, Lunule's built-in workload-aware planner still relies on a unified formula with adjustable coefficients, representing a one-size-fits-all approach. In this study, we introduce MUSE, a novel and user-friendly programmable interface that specifically focuses on subtree migration planning. MUSE effectively separates the complex and challenging task of evaluating subtree loads for different workloads, enabling designers to manipulate expected loads in the subsequent epoch. This facilitates the selection of appropriate subtrees for migration and opens up possibilities for implementing true isolated workloadaware policies. Through the utilization of two small Lua scripts, we demonstrate that MUSE achieves comparable load balancing effects and performance to CephFS and Lunule in workloads characterized by temporal and spatial locality. © 2023 IEEE.

关键词： Distributed file system Load balance Metadata

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Decomposition, Interaction, Reconstruction Meets Global Context Learning In Visual Tracking 48

Decomposition, Interaction, Reconstruction Meets Global Cont...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Tan, Huibin Hu, Kun Cao, Mingyu Wang, Mengzhu Xu, Liyang Yang, Wenjing Institute for Quantum Information State Key Laboratory of High Performance Computing China National University of Defense Technology College of Computer Science and Technology Changsha China

ISBN: (纸本)9781728163277

Tensor decomposition and reconstruction attention is a promising global context learning approach because it can remain efficient while avoiding feature compression. To exploit its potential even further in visual tracking, we redesign a 3D tensor modeling paradigm, namely tensor Decomposition, Interaction, Reconstruction attention (DIR), respectively corresponding to three function components, Tensor Decomposition Module (TDM), Tensor Interaction Module (TIM) and Context Reconstruction Module (CRM). Specifically, TDM decomposes a 3D tensor feature into rank-1 context fragments in different dimension views. The ingenuity here lies in the introduction of Circular Convolution for processing features at arbitrary scales and channel-sharing segments to enhance the interaction of the two branches in the Siamese network architecture. TIM obtains the tensor planes of each dimension by the Cross-Similarity operation of rank-1 tensors and fused cubic features, which brings more interactions between all feature dimensions. CRM reconstructs 3D context representations with the outputs of the above modules. In experiments, DIR is embedded into the tracker to verify its effectiveness. © 2023 IEEE.

关键词： context reconstruction Siamese tracking single object tracking tensor plane

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A high-performance Mg-4.9Gd-3.2Y-1.1Zn-0.5Zr alloy via multidirectional forging after analyzing its compression behavior

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Journal of Materials Science & technology 2021年第11期70卷 156-167页

作者： Xiaojie Zhou Yuan Yao Jian Zhang Xiaomin Chen Weiying Huang Jing Pan Haoran Wang Maopeng Weng Hunan Provincial Key Laboratory of Intelligent Manufacturing Technology for High-performance Mechanical Equipment Changsha University of Science and TechnologyChangsha410114China

A high-performance Mg-4.9Gd-3.2Y-1.1Zn-0.5Zr alloy has been fabricated by multidirectional forging(MDF)after analyzing its compression *** as-homogenized alloy exhibits a high activation energy Q of deformation(~285 kJ/mol).The size of DRXed grains after compression tends to decrease as the Z-H parameter(Z)increases,showing a grain size exponent m of~*** LPSO phases,kinking deformation,and bimodal microstructure are detected at the relatively low compression temperature of 350 and 400℃,while sufficient DRX can be achieved at 500℃,accompanied by the dissolution of lamellar *** to the processing maps,MDF was successfully conducted under an appropriate *** peak-aged at 200℃for 78 h,the MDFed billet exhibits a tensile yield strength(TYS)of 331 and 305 MPa at room temperature and 200℃,*** high strength mainly results from the combination of fine grains,low Schmid factor for basal slip,sufficientβ’ageing precipitates,and directionally arranged interdendritic LPSO phases,*** paper provides a feasible way for the fabrication of high-performance,low-RE-content,and large-scale Mg components for industrial production.

关键词： Mg-Gd-Y-Zn-Zr Deformation behavior Activation energy Forge Dynamic recrystallization Mechanical properties

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Integrating Velox into TinkerPop for Graph Queries on Vectorized Engine 3

Integrating Velox into TinkerPop for Graph Queries on Vector...

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3rd International Conference on Electronic Information Engineering and Computer, EIECT 2023

作者： Li, Zihao Xu, Liyang Jin, Ruochun Chen, Huan Tang, Yuhua National University of Defense Technology Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology Changsha410073 China

ISBN: (纸本)9798350357707

To enhance the query efficiency of relational databases and build a unified computing backend, Meta has developed Velox, a vectorized execution engine library based on columnar storage, Currently, there is no standardized specification for computation engine, and storage in graph databases, leading to failed to effectively utilize the vectorized processing capability of modern CPU. In this paper, we propose a middleware that primarily focuses on (1) non-invasively integrating Velox into the TinkerPop framework to provide unified vectorized engine acceleration for all graph databases supporting the TinkerPop specification;(2) conducting graph queries based on the relational data storage model, eliminating the overhead of transforming the storage model into a graph storage model;(3) validating the acceleration effect of the vectorized engine on interactive workload of graph queries under a single-node environment. © 2023 IEEE.

关键词： Engines

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Generation of Adversarial Malware Based on Genetic Algorithm and Instruction Replacement 23

Generation of Adversarial Malware Based on Genetic Algorithm...

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4th International Conference on computing, Networks and Internet of Things, CNIOT 2023

作者： Pan, Siyi Sun, Aoxiang Xu, Yingmei Liang, Zhuoqian Sun, Yuxia College of Information Science and Technology Jinan University Guangzhou China College of Information and Computational Science Jilin University China Guangdong Science and Technology Infrastructure Center China Guangdong Provincial Key Laboratory of High-Performance Computing China

ISBN: (纸本)9798400700705

With the development of cyberspace security attack and defense, the malware detection model based on machine learning is also facing the threat of adversarial examples. An important way to defend against such threats is to generate effective adversarial examples and then use them to conduct adversarial training on the model. For the end-To-end PE malware detection model, most of the existing generation technologies for adversarial examples adopt the method of inserting dead codes, but the dead codes are easy to be filtered out by preprocessing. A novel adversarial-example generation approach for PE malware, called AGA, is proposed based on a genetic algorithm and equivalent-instruction replacement. The experimental studies show that the AGA approach outperforms the existing generation approach, which is based on a particle-swarm-optimization algorithm, in terms of attack effectiveness and attack-generation efficiency. © 2023 ACM.

关键词： Genetic algorithms

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