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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Hou, Guilin Song, Ziheng Xie, Guoda Pan, Pan Huang, Zhixiang Anhui University School of Electronic and Information Engineering Hefei China Education of Anhui Province Anhui Province Key Laboratory of Target Recognition and Feature Extraction Anhui Luan237000 China Ministry of Education The Key Laboratory of Intelligent Computing and Signal Processing Hefei China Anhui Province Anhui University Key Laboratory of Electromagnetic Environmental Sensing Hefei230601 China Anhui University Hefei China

ISBN: (纸本)9781665452366

This paper introduces the application of unconditionally stable locally one-dimensional finite-difference time-domain(LOD-FDTD) method to 3D multi-pole Debye dispersive media model. Compared with other methods for dispersive media, the Z-transform method does not need to retain the electromagnetic values of the previous moments, has less memory footprint, and its numerical implementation is more straightforward. Through numerical examples, ZT-LOD-FDTD shows the advantages of accuracy and high computational efficiency. © 2022 IEEE.

关键词： Poles

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Revealing distribution discrepancy by sampling transfer in unlabeled data 24

Revealing distribution discrepancy by sampling transfer in u...

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Proceedings of the 38th International Conference on Neural Information Processing Systems

作者： Zhilin Zhao Longbing Cao Xuhui Fan Wei-Shi Zheng School of Computing Macquarie University Australia and School of Computer Science and Engineering Sun Yat-sen University China School of Computing Macquarie University Australia School of Computer Science and Engineering Sun Yat-sen University China and Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China

ISBN: (纸本)9798331314385

There are increasing cases where the class labels of test samples are unavailable, creating a significant need and challenge in measuring the discrepancy between training and test distributions. This distribution discrepancy complicates the assessment of whether the hypothesis selected by an algorithm on training samples remains applicable to test samples. We present a novel approach called Importance Divergence (I-Div) to address the challenge of test label unavailability, enabling distribution discrepancy evaluation using only training samples. I-Div transfers the sampling patterns from the test distribution to the training distribution by estimating density and likelihood ratios. Specifically, the density ratio, informed by the selected hypothesis, is obtained by minimizing the Kullback-Leibler divergence between the actual and estimated input distributions. Simultaneously, the likelihood ratio is adjusted according to the density ratio by reducing the generalization error of the distribution discrepancy as transformed through the two ratios. Experimentally, I-Div accurately quantifies the distribution discrepancy, as evidenced by a wide range of complex data scenarios and tasks.

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The Application of the ADI-FDTD method in the 3D hybrid subgrid technique

The Application of the ADI-FDTD method in the 3D hybrid subg...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Song, Ziheng Xie, Guoda Huang, Zhixiang Hou, Guilin Pan, Pan Anhui University School of Electronic and Information Engineering Hefei China Education of Anhui Province Anhui Province Key Laboratory of Target Recognition and Feature Extraction Anhui Luan237000 China Ministry of Education The Key Laboratory of Intelligent Computing and Signal Processing Hefei China Anhui Province Anhui University Key Laboratory of Electromagnetic Environmental Sensing Hefei230601 China Anhui University Hefei China

ISBN: (纸本)9781665452366

A hybrid subgrid scheme based on the conventional finite-difference time-domain (FDTD) schemes are proposed. The alternating-direction-implicit FDTD (ADI-FDTD) is used to calculate electromagnetic fields in fine grid regions subgrids and the FDTD method is applied to the coarse grid regions. Numerical results demonstrate that the drastically reduced computation time and memory can be achieved by using the proposed 3D hybrid algorithm. © 2022 IEEE.

关键词： Finite difference time domain method

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Investigation on ULA Fitting Promoting Low Coupling Sparse Arrays

Investigation on ULA Fitting Promoting Low Coupling Sparse A...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Yao, Yichang Shi, Wanlu Li, Yingsong Huang, Zhixiang Yang, Guohui Zhang, Kuang Harbin Engineering University College of Information and Communication Engineering Harbin150001 China Anhui Province Key Laboratory of Target Recognition and Feature Extraction LuAn230088 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China School of Electronics and Information Engineering Harbin Institute of Technology Harbin150086 China

ISBN: (纸本)9781665452366

A low coupling sparse array (LCSA) is presented, analyzed and discussed on the basis of the recent proposed uniform linear array (ULA) fitting scheme with close-expressions, and its performance with different uniform subarrays in the basic layer is investigated via parameter estimation like direction-of-arrival(DOA). The results gives a superior performance for the presented LCSA. © 2022 IEEE.

关键词： Low mutual coupling sparse array uniform linear array fitting

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Retrofitting XoM for Stripped Binaries without Embedded Data Relocation

arXiv

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arXiv 2024年

作者： Luo, Chenke Ming, Jiang Xie, Mengfei Peng, Guojun Fu, Jianming Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University China Department of Computer Science School of Science and Engineering Tulane University United States

System programs are frequently coded in memory-unsafe languages such as C/C++, rendering them susceptible to a variety of memory corruption attacks. Among these, just-in-time return-oriented programming (JIT-ROP) stands out as an advanced form of code-reuse attack designed to circumvent code randomization defenses. JIT-ROP leverages memory disclosure vulnerabilities to dynamically harvest reusable code gadgets and construct attack payloads in real-time. To counteract JIT-ROP threats, researchers have developed multiple execute-only memory (XoM) prototypes to prevent dynamic reading and disassembly of memory pages. XoM, akin to the widely deployed W⊕X protection, holds promise in enhancing security. However, existing XoM solutions may not be compatible with legacy and commercial off-the-shelf (COTS) programs, or they may require patching the protected binary to separate code and data areas, leading to poor reliability. In addition, some XoM methods have to modify the underlying architectural mechanism, compromising compatibility and performance. In this paper, we present PXoM, a practical technique to seamlessly retrofit XoM into stripped binaries on the x86-64 platform. As handling the mixture of code and data is a well-known challenge for XoM, most existing methods require the strict separation of code and data areas via either compile-time transformation or binary patching, so that the unreadable permission can be safely enforced at the granularity of memory pages. In contrast to previous approaches, we provide a fine-grained memory permission control mechanism to restrict the read permission of code while allowing legitimate data reads within code pages. This novelty enables PXoM to harden stripped binaries but without resorting to error-prone embedded data relocation. We leverage Intel’s hardware feature, Memory Protection keys, to offer an efficient fine-grained permission control. We measure PXoM’s performance with both micro- and macrobenchmarks, and it only

关键词： C++ (programming language)

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Efficient DOA Estimation Based on Cauchy Loss Variable Step Size Algorithm

Efficient DOA Estimation Based on Cauchy Loss Variable Step ...

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IEEE International Conference on Electronic Information and Communication Technology (ICEICT)

作者： Xingchao Xu Yingsong Li College of Information and Communications Engineering Harbin Engineering University Harbin China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

The Cauchy loss function is robust to large outliers and has successful applications in signal processing. In this paper, a DOA estimation algorithm based on adaptive zero technology is proposed, which updates the weight of the filter by applying the Cauchy loss function, and further improves the algorithm performance by using the variable step size method. The algorithm step size is adjusted by accumulating errors and establishing a nonlinear function with instantaneous errors. The DOA estimation ability, estimation error and accuracy of the improved Cauchy algorithm in the impulse noise environment are analyzed. The algorithm is verified by simulation experiments.

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IRS-Aided Mobile Edge computing for Mine IoT Networks using Deep Reinforcement Learning

IRS-Aided Mobile Edge Computing for Mine IoT Networks using ...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Zhang, Peng Min, Minghui Xiao, Jiayang Li, Shiyin Zhang, Hongliang China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Xuzhou First People's Hospital Xuzhou221116 China Ministry of Education School of CyberScience and Engineering Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Wuhan430072 China Peking University School of Electronics Beijing100871 China

ISBN: (纸本)9798350345384

Recent years have witnessed a growing interest in implementing mobile edge computing (MEC) into mine Internet of Things (IoT) networks to enable real-time monitoring and safety management. However, the spatial blockage and limited transmitting power pose challenges to signal coverage and efficient computation offloading. To address these issues, we propose incorporating intelligent reflecting surfaces (IRSs) in the MEC system for underground mines (MMEC) to resolve wireless coverage problems in mine communication scenarios and enhance the channel gains of offloading links. Given the time-varying and complex channel conditions in mines and the multiple coupled variables involved in IRSs' reflecting coefficient matrix, we utilize Deep Reinforcement Learning (DRL) to acquire the optimal IRS-assisted computation offloading strategy in dynamic mine environments. Specifically, we propose a Deep Deterministic Policy Gradient (DDPG)-based IRS-aided computation offloading scheme to jointly optimize the IRS elements' reflection coefficients and the computation offloading rate. Simulation results demonstrate that introducing an IRS into the MMEC system yields outstanding benefits and significantly exceeds benchmarks in enhancing energy efficiency and decreasing computational latency. © 2023 IEEE.

关键词： Reinforcement learning

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Sparse Andrew's Sine Norm Promoting Adaptive Algorithm under Non-Gaussian Noises 5

Sparse Andrew's Sine Norm Promoting Adaptive Algorithm under...

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5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022

作者： Hadi, Abdul Huang, Xinqi Ali, Burhan Li, Yingsong College of Information and Communications Engineering Harbin Engineering University Harbin150001 China College of Intelligent System and Control Science Engineering Harbin Engineering University Harbin150001 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui Hefei China

ISBN: (数字)9781665472111

ISBN: (纸本)9781665472111

Two sparse adaptive filtering (AF) algorithms based on Andrew's sine estimator (ASE) are presented to achieve improved performance for identifying sparse systems, where the ASE is derived within the least-square framework. Furthermore, zero-attracting (ZA) scheme is used in ASE to construct ZA-ASE and its re-weighting form (RZA-ASE) to combat non-Gaussian noises and use the sparse characteristics of the system. Their performance is investigated via simulations and compared with the least-mean square (LMS) and the maximum correntropy criterion (MCC) algorithms to show their superior performance. © 2022 IEEE.

关键词： Adaptive filtering

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Interpolated multiple t-values of general level with fixed weight, depth and height

arXiv

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arXiv 2025年

作者： Li, Zhonghua Wang, Zhenlu School of Mathematical Sciences Key Laboratory of Intelligent Computing and Applications Ministry of Education Tongji University Shanghai200092 China School of Electronics and Information Engineering Taizhou University Zhejiang Taizhou318000 China

In this paper, we introduce the interpolated multiple t-values of general level and represent a generating function for sums of interpolated multiple t-values of general level with fixed weight, depth, and height in terms of a generalized hypergeometric function 3F2 evaluated at 1. Furthermore, we explore several special cases of our results. The theorems presented in this paper extend earlier results on multiple zeta values and multiple t-values of general level. © 2025, CC BY.

关键词： Interpolation

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High order SF-SFDTD method for solving the time-dependent Schrödinger equation

High order SF-SFDTD method for solving the time-dependent Sc...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Pan, Pan Xie, Guoda Huang, Zhixiang Hou, Guilin Song, Ziheng Anhui University School of Electronic and Information Engineering Hefei China Education of Anhui Province Anhui Province Key Laboratory of Target Recognition and Feature Extraction Anhui Luan237000 China Ministry of Education The Key Laboratory of Intelligent Computing and Signal Processing Hefei China Anhui Province Anhui University Key Laboratory of Electromagnetic Environmental Sensing Hefei230601 China Anhui University Hefei China

ISBN: (纸本)9781665452366

A high-order spatial filtering-symplectic finite difference time domain (SF-SFDTD) scheme with controllable stability condition is proposed to solve the time-dependent Schrödinger equation (TDSE). Firstly, the higher-order symplectic framework for the discretization of Schrödinger equation is described, and then the spatial filtering method is carried out to extend the stability of the standard SFDTD method. Finally, a numerical example is given to evaluate the correctness of the SF-SFDTD method in numerical solving Schrödinger equation. © 2022 IEEE.

关键词： Finite difference time domain method

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