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IEEE Transactions on Circuits and Systems I: Regular Papers最新文献

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Dynamical Analysis and Fixed-Time Synchronization for Secure Communication of Hidden Multiscroll Memristive Chaotic System 隐藏式多卷膜混沌系统安全通信的动态分析与固定时间同步化
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-05 DOI: 10.1109/TCSI.2024.3434551
Qiang Lai;Yijin Liu;Luigi Fortuna
In view of the superiority of memristors in strengthening dynamical complexity and the significant application potiential of multiscroll chaos, this paper attempts to introduce two memristors with scalable memductances into simple seed chaotic system for designing multiscroll memristive chaotic system (MMCS). The designed MMCS yields hidden grid multiscroll chaotic attractors with any number of scrolls expanding along with the internal variables of memristors. By varying the parameters, the multiscroll attractors can be broken into coexisting attractors with different numbers and scrolls dependent on parameters, and their oscillation amplitudes can be increased (or decreased) without changing the chaotic features. Dynamical analysis and circuit implementation are given to reveal the complexity and feasibility of the MMCS. The fixed-time synchronization (FxTS) is studied by using adaptive controller and the sufficient condition for FxTS is established via Lyapunov stability theory (LST). A multilevel secure communication scheme based on the FxTS of MMCS is designed and the experimental tests on the image, audio and data secure communication verify its effectiveness, which to some extent shows the application availability of MMCS.
鉴于忆阻器在增强动态复杂性方面的优越性以及多卷混沌的巨大应用潜力,本文尝试在简单的种子混沌系统中引入两个具有可扩展忆阻器的忆阻器,以设计多卷忆阻器混沌系统(MMCS)。所设计的多卷忆阻器混沌系统能产生隐藏网格多卷忆阻器混沌吸引子,其任意数量的卷轴会随着忆阻器内部变量的变化而扩展。通过改变参数,多卷吸引子可以根据参数分解成不同数量和卷轴的共存吸引子,并且可以在不改变混沌特征的情况下增加(或减少)它们的振荡幅度。本文通过动力学分析和电路实现揭示了 MMCS 的复杂性和可行性。利用自适应控制器研究了固定时间同步(FxTS),并通过李亚普诺夫稳定性理论(LST)建立了固定时间同步的充分条件。设计了基于 MMCS FxTS 的多级安全通信方案,并通过图像、音频和数据安全通信实验验证了其有效性,这在一定程度上说明了 MMCS 的应用可行性。
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引用次数: 0
A Low-Complexity Soft-Output Massive MIMO Detector With Near-Optimum Performance 性能接近最优的低复杂度软输出大规模多输入多输出检测器
IF 5.1 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-05 DOI: 10.1109/tcsi.2024.3435361
Jinjie Hu, Suwen Song, Zhongfeng Wang
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引用次数: 0
Power and Frequency Intrinsic Channels on gem5 gem5 上的功率和频率固有通道
IF 5.1 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-05 DOI: 10.1109/tcsi.2024.3435841
Lilian Bossuet, Carlos Andres Lara-Nino
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引用次数: 0
An Open-Circuit Fault Diagnosis for Three-Phase PWM Rectifier Without Grid Voltage Sensor Based on Phase Angle Partition 基于相角分配的无电网电压传感器三相 PWM 整流器开路故障诊断方法
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-05 DOI: 10.1109/TCSI.2024.3434683
Chunjie Li;Jianing Hu;Mingwei Zhao;Wei Zeng
In order to accurately locate the open-circuit fault of power tube for three-phase PWM rectifier under the grid-voltage sensorless control strategy, an open-circuit fault diagnosis algorithm based on phase angle partitions of the current and voltage is proposed. To improve dynamic response for the system, predictive current control is implemented. The real-time change rate of the grid-current phase angle is utilized to determine whether a fault occurs. Based on the zero value platform in the grid-side distortion current generated by open-circuit faults, the corresponding phase angles for the grid current and the grid voltage are partitioned to locate the fault tubes. In a grid voltage sensorless control system, the grid voltage information obtained by the voltage observer and phase-locked loop can be susceptible to distortion or interference. To enhance the accuracy of phase-locked angle, a double generalized second-order integrator is used. The proposed open-circuit fault detection method can realize rapid diagnosis and location for single and double power tubes under grid-voltage sensorless predictive current control. Finally, experimental results are presented to verify the feasibility of the diagnosis method.
为了在电网电压无传感器控制策略下准确定位三相 PWM 整流器功率管的开路故障,提出了一种基于电流和电压相角分区的开路故障诊断算法。为改善系统的动态响应,实施了预测电流控制。利用电网电流相位角的实时变化率来判断是否发生故障。根据开路故障产生的电网侧畸变电流零值平台,划分电网电流和电网电压的相应相角,从而定位故障管。在无电网电压传感器的控制系统中,电压观测器和锁相环获得的电网电压信息容易失真或受到干扰。为了提高锁相角的精度,使用了双广义二阶积分器。所提出的开路故障检测方法可在电网电压无传感器预测电流控制下实现单功率管和双功率管的快速诊断和定位。最后,实验结果验证了诊断方法的可行性。
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引用次数: 0
Process-Variation-Aware In-Memory Computation With Improved Linearity Using On-Chip Configurable Current-Steering Thermometric DAC 利用片上可配置电流转向测温 DAC 改进线性度的过程变化感知内存计算
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-02 DOI: 10.1109/TCSI.2024.3422883
Prasanna Kumar Saragada;Bishnu Prasad Das
The in-memory computation (IMC) is a potential technique to improve the speed and energy efficiency of data-intensive designs. However, the scalability of IMC to large systems is hindered by the non-linearities of analog multiply-and-accumulate (MAC) operations and process variation, which impacts the precision of high bit-width MAC operations. In this paper, we present an IMC architecture that is capable of performing multi-bit MAC operations with improved speed, linearity, and computational accuracy. To improve the speed/linearity of the IMC-MAC operations, the image and weight data are applied by using the pulse amplitude modulation (PAM) and thermometric techniques, respectively. Although the PAM technique improves the speed of the IMC-MAC operations, it has linearity issues that need to be addressed. Based on the detailed linearity analysis of the IMC-MAC circuit, we proposed two approaches to improve the linearity and the signal margin (SM) of the IMC architecture. The proposed configurable current steering thermometric digital-to-analog converter (CST-DAC) array is employed to provide the PAM signals with various dynamic ranges and non-linear gaps that are required to improve the linearity/SM. The proposed combined PAM and thermometric IMC (PT-IMC) architecture is designed and fabricated in the TSMC 180-nm CMOS process. The post-silicon calibration of the design point mitigates the process-variation issues and provides the maximum SM (close to the simulation results). Furthermore, the proposed PT-IMC architecture performs MNIST/CIFAR-10 data set classification with an accuracy of 98%/88%. In addition, the PT-IMC architecture achieves a peak throughput of 12.41 GOPS, a normalized energy efficiency of 30.64 TOPS/W, a normalized figure-of-merit (FOM) of 3039, a loss in the SM of 8.3% with respect to the ideal SM, and a computational error of 0.41%.
内存计算(IMC)是一种提高数据密集型设计速度和能效的潜在技术。然而,由于模拟乘积 (MAC) 运算的非线性和工艺变化影响了高位宽 MAC 运算的精度,IMC 对大型系统的可扩展性受到了阻碍。在本文中,我们介绍了一种 IMC 架构,该架构能够执行多比特 MAC 运算,并提高了速度、线性度和计算精度。为了提高 IMC-MAC 运算的速度/线性度,图像和权重数据分别采用了脉冲幅度调制(PAM)和测温技术。虽然 PAM 技术提高了 IMC-MAC 运算的速度,但它也有线性度问题需要解决。基于对 IMC-MAC 电路的详细线性度分析,我们提出了两种方法来改善 IMC 架构的线性度和信号裕度 (SM)。我们采用了所提出的可配置电流转向测温数模转换器 (CST-DAC) 阵列,以提供各种动态范围和非线性间隙的 PAM 信号,从而改善线性度/SM。所提出的 PAM 和测温 IMC(PT-IMC)组合架构采用台积电 180 纳米 CMOS 工艺设计和制造。设计点的硅后校准缓解了工艺变化问题,并提供了最大 SM(接近模拟结果)。此外,所提出的 PT-IMC 架构在 MNIST/CIFAR-10 数据集分类中的准确率为 98%/88%。此外,PT-IMC 架构还实现了 12.41 GOPS 的峰值吞吐量、30.64 TOPS/W 的归一化能效、3039 的归一化功绩值 (FOM)、与理想 SM 相比 8.3% 的 SM 损失以及 0.41% 的计算误差。
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引用次数: 0
A Time-to-Voltage Converter-Based MPPT With 440 μs Online Tracking Time, 99.7% Tracking Efficiency for a Battery-Less Harvesting Front-End With Cold-Startup and Over-Voltage Protection 一种基于时间电压转换器的 MPPT,在线跟踪时间为 440 美元,跟踪效率为 99.7%,适用于具有冷启动和过压保护功能的无电池集电前端
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-02 DOI: 10.1109/TCSI.2024.3435533
Aditi Chakraborty;Ashis Maity
This paper introduces a time-to-voltage converter-based maximum power point tracking (TVCB-MPPT) for harvesting photovoltaic energy into a super-capacitor using a single solar cell. In the proposed design, a time-to-voltage converter is used to achieve a fast and accurate tracking of the maximum power point (MPP) without using a time-averaging/time-integrating function as used in the conventional time-based MPPT design. Moreover, with the continuous monitoring of the MPP, the proposed converter responds immediately and maximizes the extracted energy under varying irradiance conditions as compared to the conventional intermittent MPPT topologies. The addition of the cold-start operation and the over-voltage protection increase the robustness and energy-autonomy of the overall system. The proposed TVCB-MPPT converter is fabricated in a 180 nm CMOS process. In the measured result, a fast online MPP tracking time of $440~mu $ s is observed with an initial tracking time of 4.8 ms. It also shows a peak tracking efficiency of 99.7% with a power conversion efficiency >87% in the entire input power range.
本文介绍了一种基于时间-电压转换器的最大功率点跟踪(TVCB-MPPT),用于利用单个太阳能电池将光伏能量收集到超级电容器中。在所提出的设计中,使用了时间-电压转换器来实现对最大功率点(MPP)的快速、准确跟踪,而无需使用传统的基于时间的 MPPT 设计中使用的时间平均/时间积分函数。此外,与传统的间歇式 MPPT 拓扑相比,通过对 MPP 的持续监控,所提出的转换器能在辐照度变化的条件下立即做出响应并最大限度地提取能量。新增的冷启动操作和过压保护功能提高了整个系统的鲁棒性和能源自主性。所提出的 TVCB-MPPT 转换器采用 180 nm CMOS 工艺制造。在测量结果中,观察到快速在线 MPP 跟踪时间为 440~mu $ s,初始跟踪时间为 4.8 ms。它还显示了 99.7% 的峰值跟踪效率,在整个输入功率范围内的功率转换效率大于 87%。
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引用次数: 0
Energy Efficient Resistor-Transconductor Hybrid-Based Full-Duplex Transceiver for Serial Link 用于串行链路的高能效电阻器-电感器混合型全双工收发器
IF 5.1 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-02 DOI: 10.1109/tcsi.2024.3435530
V. K. Surya, Suraj Kumar Prusty, Bibhu Datta Sahoo, Nijwm Wary
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引用次数: 0
NOMA System Performance Improvement Using Chaos and Deep Learning 利用混沌和深度学习提高 NOMA 系统性能
IF 5.1 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-02 DOI: 10.1109/tcsi.2024.3431470
Hui-Ping Yin, Hai-Peng Ren
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引用次数: 0
CorTile: A Scalable Neuromorphic Processing Core for Cortical Simulation With Hybrid-Mode Router and TCAM CorTile:利用混合模式路由器和 TCAM 进行大脑皮层仿真的可扩展神经形态处理核心
IF 5.1 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-02 DOI: 10.1109/tcsi.2024.3431036
Fanxi Yang, Yuhan He, Jinqiao Yang, Anqin Xiao, Lufei Fan, Ning Ma, Li-Rong Zheng, Zhuo Zou
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引用次数: 0
LiCryptor: High-Speed and Compact Multi-Grained Reconfigurable Accelerator for Lightweight Cryptography LiCryptor:用于轻量级密码学的高速紧凑型多粒度可重构加速器
IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-08-01 DOI: 10.1109/TCSI.2024.3434686
Hoai Luan Pham;Vu Trung Duong Le;Van Duy Tran;Tuan Hai Vu;Yasuhiko Nakashima
Emerging modern internet-of-things (IoT) systems require hardware development to support multiple 8/32/64-bit lightweight cryptographic (LWC) algorithms with high speed and energy efficiency to ensure diverse security requirements. Accordingly, a coarse-grained reconfigurable array (CGRA) is considered the most effective architecture for achieving high speed, low power, and high flexibility for implementing LWC algorithms. However, existing CGRA designs for cryptography focus only on improvements to outdated 8/32-bit algorithms, suffer from large area requirements, and have long compilation times. To address these issues, this paper proposes a new CGRA-based accelerator named LiCryptor to support various 8/32/64-bit LWC algorithms with high speed and small area. Three innovative ideas are proposed to enable LiCryptor to achieve these goals: a compact multi-grained processing element array (M-PEA), a shared 8/32/64-bit arithmetic logic unit (ALU), and an assembly-like inline directive (AID) mapping method. The LiCryptor has been successfully implemented and verified on the Xilinx ZCU102 FPGA. Real-time performance evaluation across various LWC algorithms on FPGA shows that LiCryptor is 1.33 to 4 times better in execution time and 3.4 to 153 times better in power-delay products (PDP) compared to today’s most powerful CPUs. Notably, evaluation of AID mapping on the ARM Cortex-A53 CPU of the ZCU102 FPGA shows that its compilation time is less than 1.5 ms for most LWC algorithms, at least 2,333 times faster than CFG mapping in current CGRAs. Moreover, experimental results on 45nm ASIC technology show that the LiCryptor significantly outperforms existing CGRAs and other reconfigurable designs in terms of throughput and area efficiency.
新兴的现代物联网(IoT)系统要求硬件开发能够支持多种 8/32/64 位轻量级加密(LWC)算法,并具有高速度和高能效,以确保不同的安全要求。因此,粗粒度可重构阵列(CGRA)被认为是实现高速、低功耗和高灵活性以实现 LWC 算法的最有效架构。然而,现有的用于密码学的 CGRA 设计仅侧重于改进过时的 8/32 位算法,存在面积要求大、编译时间长等问题。为解决这些问题,本文提出了一种基于 CGRA 的新型加速器 LiCryptor,以高速、小面积支持各种 8/32/64 位 LWC 算法。为使 LiCryptor 实现这些目标,本文提出了三个创新理念:紧凑型多粒度处理元件阵列 (M-PEA)、共享 8/32/64 位算术逻辑单元 (ALU) 和类汇编内联指令 (AID) 映射方法。LiCryptor 已在 Xilinx ZCU102 FPGA 上成功实现并通过验证。在 FPGA 上对各种 LWC 算法进行的实时性能评估显示,与当今最强大的 CPU 相比,LiCryptor 的执行时间缩短了 1.33 到 4 倍,功耗延迟积(PDP)缩短了 3.4 到 153 倍。值得注意的是,在 ZCU102 FPGA 的 ARM Cortex-A53 CPU 上进行的 AID 映射评估表明,对于大多数 LWC 算法,其编译时间小于 1.5 毫秒,比当前 CGRA 中的 CFG 映射至少快 2,333 倍。此外,在 45 纳米 ASIC 技术上的实验结果表明,LiCryptor 在吞吐量和面积效率方面明显优于现有 CGRA 和其他可重构设计。
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IEEE Transactions on Circuits and Systems I: Regular Papers
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