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Towards Semi-Supervised Classification of Abnormal Spectrum Signals Based on Deep Learning 基于深度学习实现异常频谱信号的半监督分类
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-31 DOI: 10.23919/cje.2022.00.395
Tao Jiang;Wanqing Chen;Hangping Zhou;Jinyang He;Peihan Qi
In order to cope with the heavy labor cost challenge of the manual abnormal spectrum classification and improve the effectiveness of existing machine learning schemes for spectral datasets with interference-to-signal ratios, we proposes a semi-supervised classification of abnormal spectrum signals (SSC-ASS), aimed at addressing some of the challenges in abnormal spectrum signal (ASS) classification tasks. A significant advantage of SSC-ASS is that it does not require manual labeling of every abnormal data, but instead achieves high-precision classification of ASSs using only a small number of labeled data. Furthermore, the method can to some extent avoid the introduction of erroneous information resulting from the complex and variable nature of abnormal signals, thereby improving classification accuracy. Specifically, SSC-ASS uses a memory AutoEncoder module to efficiently extract features from abnormal spectrum signals by learning from the reconstruction error. Additionally, SSC-ASS combines convolutional neural network and the $K$-means using a DeepCluster framework to fully utilize the unlabeled data. Furthermore, SSC-ASS also utilizes pre-training, category mean memory module and replaces pseudo-labels to further improve the classification accuracy of ASSs. And we verify the classification effectiveness of SSC-ASS on synthetic spectrum datasets and real on-air spectrum dataset.
为了应对人工异常频谱分类所带来的巨大人力成本挑战,并提高现有机器学习方案在具有干扰信号比的频谱数据集上的有效性,我们提出了异常频谱信号半监督分类(SSC-ASS),旨在解决异常频谱信号(ASS)分类任务中的一些难题。SSC-ASS 的一个显著优势是,它不需要对每个异常数据进行人工标注,而只需使用少量标注数据即可实现高精度的 ASS 分类。此外,该方法还能在一定程度上避免因异常信号复杂多变而引入错误信息,从而提高分类精度。具体来说,SSC-ASS 使用内存自动编码器模块,通过学习重构误差,有效地提取异常频谱信号的特征。此外,SSC-ASS 利用 DeepCluster 框架将卷积神经网络和 $K$-means 结合起来,充分利用了未标记数据。此外,SSC-ASS 还利用预训练、类别均值记忆模块和替换伪标签等方法,进一步提高了 ASS 的分类精度。我们还在合成频谱数据集和真实空中频谱数据集上验证了 SSC-ASS 的分类效果。
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引用次数: 0
Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy 利用 VMD 和基于多尺度波动的离散熵对铁路点式机械进行基于振动的故障诊断
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-31 DOI: 10.23919/cje.2022.00.075
Yongkui Sun;Yuan Cao;Peng Li;Guo Xie;Tao Wen;Shuai Su
As one of the most important railway signaling equipment, railway point machines undertake the major task of ensuring train operation safety. Thus fault diagnosis for railway point machines becomes a hot topic. Considering the advantage of the anti-interference characteristics of vibration signals, this paper proposes an novel intelligent fault diagnosis method for railway point machines based on vibration signals. A feature extraction method combining variational mode decomposition (VMD) and multiscale fluctuation-based dispersion entropy is developed, which is verified a more effective tool for feature selection. Then, a two-stage feature selection method based on Fisher discrimination and ReliefF is proposed, which is validated more powerful than single feature selection methods. Finally, support vector machine is utilized for fault diagnosis. Experiment comparisons show that the proposed method performs best. The diagnosis accuracies of normal-reverse and reverse-normal switching processes reach 100% and 96.57% respectively. Especially, it is a try to use new means for fault diagnosis on railway point machines, which can also provide references for similar fields.
作为最重要的铁路信号设备之一,铁路点动车组承担着保障列车运行安全的重任。因此,铁路点动车组的故障诊断成为一个热门话题。考虑到振动信号抗干扰特性的优势,本文提出了一种基于振动信号的新型铁路点动车组智能故障诊断方法。本文开发了一种结合变异模态分解(VMD)和基于多尺度波动的离散熵的特征提取方法,并验证了该方法是一种更有效的特征选择工具。然后,提出了一种基于 Fisher 判别和 ReliefF 的两阶段特征选择方法,经验证比单一特征选择方法更强大。最后,利用支持向量机进行故障诊断。实验比较表明,所提出的方法性能最佳。正常-反向和反向-正常切换过程的诊断准确率分别达到 100%和 96.57%。该方法在铁路机车车辆故障诊断领域具有重要意义,特别是尝试使用新手段对铁路点动车组进行故障诊断,可为同类领域提供借鉴。
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引用次数: 0
Survey on Fake Information Generation, Dissemination and Detection 关于虚假信息生成、传播和检测的调查
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-31 DOI: 10.23919/cje.2022.00.362
Wanqiu Cui;Dawei Wang;Na Han
The current booming development of the Internet has put the public in an era of information overload, in which false information is mixed and spread unscrupulously. This phenomenon has seriously disturbed the social network order. Thus, a substantial amount of research is beginning to be devoted to the effective management of fake information. We analyze the abnormal characteristics of fake information from its mechanism of generation and dissemination. In view of different exceptional features, we systematically sort out and evaluate the existing studies on false content detection. The commonly used public datasets, metrics, and performance are categorized and compared, hoping to provide a basis and guidance for related research. The study found that the current active social platforms show different novelty. The future direction should point to mining platform features of multi-domain sources, multi-data forms, and multi-language heterogeneity to provide more valuable clues for fake information.
当前,互联网的蓬勃发展使公众处于一个信息过载的时代,虚假信息鱼龙混杂、肆意传播。这种现象严重扰乱了社会网络秩序。因此,大量研究开始致力于对虚假信息的有效管理。我们从虚假信息的产生和传播机制入手,分析虚假信息的异常特征。针对不同的异常特征,我们对现有的虚假内容检测研究进行了系统梳理和评估。对常用的公开数据集、指标和性能进行了分类和比较,希望能为相关研究提供依据和指导。研究发现,当前活跃的社交平台呈现出不同的新颖性。未来的研究方向应是挖掘多领域来源、多数据形式、多语言异质性等平台特征,为虚假信息提供更有价值的线索。
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引用次数: 0
New Related-Tweakey Boomerang Attacks and Distinguishers on Deoxys-BC 新相关-德克西斯-BC 上的特威克回旋镖攻击和辨别者
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-31 DOI: 10.23919/cje.2022.00.383
Jiamei Liu;Lin Tan;Hong Xu
Deoxys-BC is the primitive tweakable block cipher of the Deoxys family of authenticated encryption schemes. Based on existing related-tweakey boomerang distinguishers, this paper improves the boomerang attacks on 11-round Deoxys-BC-256 and 13-round Deoxys-BC-384 by the optimized key guessing and the precomputation technique. It transfers a part of subtweakey guess in the key-recovery phase to the precomputation resulting in a significant reduction of the overall time complexity. For 11-round Deoxys-BC-256, we give a related-tweakey boomerang attack with time/data/memory complexities of $2^{218.6}/2^{125.7}/2^{125.7}$, and give another attack with the less time complexity of $2^{215.8}$ and memory complexity of $2^{120}$ when the adversary has access to the full codebook. For 13-round Deoxys-BC-384, we give a related-tweakey boomerang attack with time/data/memory complexities of $2^{k-96}+2^{157.5}/2^{120.4}/2^{113}$. For the key size $k=256$, it reduces the time complexity by a factor of $2^{31}$ compared with the previous 13-round boomerang attack. In addition, we present two new related-tweakey boomerang distinguishers on 11-round Deoxys-BC-384 with the same probability as the best previous distinguisher.
Deoxys-BC是Deoxys认证加密算法系列中最原始的可调整块密码。本文在现有的相关密钥回旋镖区分器的基础上,通过优化密钥猜测和预计算技术,改进了对 11 轮 Deoxys-BC-256 和 13 轮 Deoxys-BC-384 的回旋镖攻击。它将密钥恢复阶段的部分子密钥猜测转移到了预计算阶段,从而显著降低了整体时间复杂度。对于 11 轮 Deoxys-BC-256,我们给出了一种时间/数据/内存复杂度为 $2^{218.6}/2^{125.7}/2^{125.7}$ 的相关微凯子回旋镖攻击,并给出了另一种攻击,当对手可以访问完整密码本时,时间复杂度为 $2^{215.8}$ ,内存复杂度为 $2^{120}$ 。对于 13 轮 Deoxys-BC-384,我们给出了一种相关的三要素回旋镖攻击,其时间/数据/内存复杂度为 $2^{k-96}+2^{157.5}/2^{120.4}/2^{113}$ 。在密钥大小为 $k=256$ 的情况下,与之前的 13 轮回旋镖攻击相比,时间复杂度降低了 2^{31}$ 倍。此外,我们还在 11 轮 Deoxys-BC-384 上提出了两种新的相关三假回旋镖区分器,其概率与之前的最佳区分器相同。
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引用次数: 0
A Survey on Graph Neural Network Acceleration: A Hardware Perspective 图神经网络加速调查:硬件视角
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-31 DOI: 10.23919/cje.2023.00.135
Shi Chen;Jingyu Liu;Li Shen
Graph neural networks (GNNs) have emerged as powerful approaches to learn knowledge about graphs and vertices. The rapid employment of GNNs poses requirements for processing efficiency. Due to incompatibility of general platforms, dedicated hardware devices and platforms are developed to efficiently accelerate training and inference of GNNs. We conduct a survey on hardware acceleration for GNNs. We first include and introduce recent advances of the domain, and then provide a methodology of categorization to classify existing works into three categories. Next, we discuss optimization techniques adopted at different levels. And finally we propose suggestions on future directions to facilitate further works.
图神经网络(GNN)已成为学习有关图和顶点知识的强大方法。图神经网络的快速应用对处理效率提出了要求。由于通用平台的不兼容性,人们开发了专用硬件设备和平台,以有效加速 GNN 的训练和推理。我们对 GNN 的硬件加速进行了调查。我们首先收录并介绍了该领域的最新进展,然后提供了一种分类方法,将现有作品分为三类。接下来,我们讨论了不同层面采用的优化技术。最后,我们就未来方向提出建议,以促进进一步的工作。
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引用次数: 0
Performance Study of MIMO-OSTBC Parallel Relay FSO System Based on GFDM 基于 GFDM 的 MIMO-OSTBC 并行中继 FSO 系统性能研究
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-01 DOI: 10.23919/cje.2022.00.069
Rui Zhou;Yong Wang;Yi Wang;Yaxin Zhang
This paper investigates the performance of a new generalized frequency division multiplexing (GFDM) parallel relay free space optical (FSO) communication system using multi-input multi-output (MIMO) orthogonal space-time block codes (OSTBC) scheme. Under the M distribution atmospheric turbulence, taking into account the triple effects of irradiance, pointing errors and path loss, the mathematical expression of system symbol error rate is derived with the help of Meijer G-function. The symbol error performance of GFDM is compared with on-off keying, Gaussian minimum shift keying, polarization shift keying and orthogonal frequency division multiplexing (OFDM) modulation methods. The effects of the MIMO-OSTBC parallel relay scheme on the GFDM system including filter roll down coefficient, the number of transmitting and receiving antennas, the number of relays, normalized beamwidth and jitter variance are analyzed, and the numerical results are verified by Monte Carlo simulation. This work provides a good foundation for engineering applications.
本文研究了使用多输入多输出(MIMO)正交时空块编码(OSTBC)方案的新型广义频分复用(GFDM)并行中继自由空间光(FSO)通信系统的性能。在 M 分布大气湍流条件下,考虑到辐照度、指向误差和路径损耗的三重影响,利用 Meijer G 函数推导出了系统符号误差率的数学表达式。GFDM 的符号误差性能与开关键控、高斯最小移位键控、偏振移位键控和正交频分复用(OFDM)调制方法进行了比较。分析了 MIMO-OSTBC 并行中继方案对 GFDM 系统的影响,包括滤波器滚降系数、发射和接收天线数量、中继数量、归一化波束宽度和抖动方差,并通过蒙特卡罗仿真验证了数值结果。这项工作为工程应用奠定了良好的基础。
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引用次数: 0
An Effective Power Optimization Approach Based on Whale Optimization Algorithm with Two-Populations and Mutation Strategies 基于双种群和突变策略鲸鱼优化算法的有效功率优化方法
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-01 DOI: 10.23919/cje.2022.00.358
Juncai He;Zhenxue He;Jia Liu;Yan Zhang;Fan Zhang;Fangfang Liang;Tao Wang;Limin Xiao;Xiang Wang;Jianguo Hu
Power is an issue that must be considered in the design of logic circuits. Power optimization is a combinatorial optimization problem, since it is necessary to search for a logical expression that consumes the least amount of power from a large number of Reed-Muller (RM) logical expressions. The existing approach for optimizing the power of multi-output mixed polarity RM (MPRM) logic circuits suffer from poor optimization results. To solve this problem, a whale optimization algorithm with two-populations strategy and mutation strategy (TMWOA) is proposed in this paper. The two-populations strategy speeds up the convergence of the algorithm by exchanging information about the two-populations. The mutation strategy enhances the ability of the algorithm to jump out of the local optimal solutions by using the information of the current optimal solution. Based on the TMWOA, we propose a multi-output MPRM logic circuits power optimization approach (TMMPOA). Experiments based on the benchmark circuits of the Microelectronics Center of North Carolina (MCNC) validate the effectiveness and superiority of the proposed TMMPOA.
功耗是逻辑电路设计中必须考虑的问题。功耗优化是一个组合优化问题,因为需要从大量里德-穆勒(Reed-Muller,RM)逻辑表达式中寻找功耗最小的逻辑表达式。现有的优化多输出混合极性 RM(MPRM)逻辑电路功耗的方法优化效果不佳。为解决这一问题,本文提出了一种具有双种群策略和突变策略的鲸鱼优化算法(TMWOA)。双种群策略通过交换双种群信息来加快算法的收敛速度。突变策略通过利用当前最优解的信息,增强了算法跳出局部最优解的能力。在 TMWOA 的基础上,我们提出了一种多输出 MPRM 逻辑电路功率优化方法(TMMPOA)。基于北卡罗来纳州微电子中心(MCNC)基准电路的实验验证了所提出的 TMMPOA 的有效性和优越性。
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引用次数: 0
A Novel Approach of Electromagnetic Compatibility Conducted Susceptibility Analysis Based on Gaussian Even Pulse Signal 基于高斯偶脉冲信号的电磁兼容传导感应性分析新方法
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-01 DOI: 10.23919/cje.2022.00.298
Youwei Meng;Yanhua Peng;Haoyang Zhang;Lilin Li;Donglin Su;Yinghong Wen
The purpose of the electromagnetic compatibility conducted susceptibility test for interconnected cables in the system is to evaluate its ability to operate acceptably when subjected to interference. We propose a novel conducted susceptibility analysis approach: by injecting the Gaussian even pulse signal, we find that the susceptibility threshold of the system shows two different patterns with the change of signal parameters; then we locate the cause of the susceptibility of the device by analyzing the threshold level curves. The effectiveness of the proposed approach is verified by testing with devices containing digital modules such as navigation receivers. The proposed approach facilitates a deeper understanding of the susceptibility mechanism of systems and their appropriate electromagnetic compatibility design.
对系统中相互连接的电缆进行电磁兼容传导灵敏度测试的目的是评估其在受到干扰时的可接受运行能力。我们提出了一种新颖的传导灵敏度分析方法:通过注入高斯偶脉冲信号,我们发现系统的灵敏度阈值会随着信号参数的变化而呈现出两种不同的模式;然后我们通过分析阈值电平曲线来定位设备灵敏度的原因。通过对导航接收器等包含数字模块的设备进行测试,验证了所提方法的有效性。所提出的方法有助于更深入地了解系统的易感性机理以及适当的电磁兼容性设计。
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引用次数: 0
Wide Stopband Substrate Integrated Waveguide Filter Using Bisection and Trisection Coupling in Multilayer 利用多层中的二分和三分耦合技术实现宽阻带基底集成波导滤波器
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-01 DOI: 10.23919/cje.2023.00.027
Peng Chu;Jianguo Feng;Peng Zhu;Lei Guo;Long Zhang;Leilei Liu;Guoqing Luo;Ke Wu;Shilong Pan
This article presents a highly efficient method for substrate-integrated-waveguide (SIW) filters to achieve very wide stopbands. By employing the proposed trisection slots in addition to the bisection slots as the inter-coupling structures, all spurious modes below TE505 of a SIW filter working in the fundamental mode TE101(fo) can be eliminated without requiring additional structure or complex theoretical analysis, without affecting the design of the fundamental passbands, and without degrading the performance of the filters. For verification, two prototype filters are designed, fabricated, and measured with wide stopbands up to 4.15foand 4.83f0, respectively. The proposed technique could facilitate the development of high-performance wide-stopband SIW filters for microwave/wireless circuits and systems.
本文提出了一种高效的方法,用于基底集成波导(SIW)滤波器,以实现极宽的止带。通过采用所提出的三剖分槽和二剖分槽作为互耦结构,可以消除工作在基模 TE101(fo)的 SIW 滤波器 TE505 以下的所有杂散模式,而无需额外的结构或复杂的理论分析,不影响基频通带的设计,也不会降低滤波器的性能。为了进行验证,我们设计、制造并测量了两个原型滤波器,它们的止带分别宽达 4.15fo 和 4.83f0。所提出的技术有助于开发用于微波/无线电路和系统的高性能宽阻带 SIW 滤波器。
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引用次数: 0
Analytical Models of on-Chip Hardware Trojan Detection Based on Radiated Emission Characteristics 基于辐射发射特性的片上硬件木马检测分析模型
IF 1.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-03-01 DOI: 10.23919/cje.2022.00.310
Fan Zhang;Dongrong Zhang;Qiang Ren;Aixin Chen;Donglin Su;Yikai Chen
Since many third parties involved in integrated circuit (IC) manufacturing, hardware Trojans malicious implantation have become a threat to the IC industry. Therefore, varieties of reliable hardware Trojan detection methods are needed. Since electromagnetic radiation is an inherent phenomenon of electronic devices, there are significant differences in the electromagnetic radiated characteristics for circuits with different structures and operating states. In this paper, a novel hardware Trojan detection method is proposed, which considers the electromagnetic radiation differences caused by hardware Trojan implantation. Experiments of detecting hardware Trojan in field programmable gate arrays show that the proposed method can effectively distinguish the ICs with Trojan from the ones without Trojan by the radiated emission.
由于许多第三方参与集成电路(IC)制造,硬件木马的恶意植入已成为集成电路产业的一个威胁。因此,需要多种可靠的硬件木马检测方法。由于电磁辐射是电子设备的固有现象,不同结构和工作状态的电路在电磁辐射特性上存在显著差异。本文提出了一种新型的硬件木马检测方法,该方法考虑了硬件木马植入造成的电磁辐射差异。在现场可编程门阵列中检测硬件木马的实验表明,所提出的方法能有效地通过辐射发射区分出植入木马的集成电路和未植入木马的集成电路。
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引用次数: 0
期刊
Chinese Journal of Electronics
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