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Radio-Frequency Energy Harvesting Systems for GSM and WiFi Bands GSM和WiFi频段的射频能量收集系统
R. R. Shafiq, B. M. Elhalawany, M. M. Elsherbini
Energy harvesting (EH) circuits are expected to be key modules for future battery-constrained electronic devices such as mobile phones and wearable devices. Radio-frequency (RF) harvesting is one of the promising EH technologies, which converts RF signals into direct-current (DC) voltage. This paper proposed an efficient design for the voltage doubler subsystem for an RF-EH module using different types of Schottky diodes, namely HSMS-2822, HSMS-2850, and HSMS-286B. Greinacher voltage doubler circuits for multi-bands including 915 MHz (GSM), (2.4, and 5.2) GHz (WI-FI) bands are scrutinized. Up to 10 stages of Schottky diode voltage doubler circuits are investigated, where the performance is evaluated using Agilent ADS software. The results showed that the HSMS-286B Schottky diode reveals a better performance with GSM band sources, while HSMS-2850 is the Optimum choice for the WI-FI band.
能量收集(EH)电路有望成为未来电池受限的电子设备(如移动电话和可穿戴设备)的关键模块。射频(RF)采集是将射频信号转换成直流(DC)电压的一种很有前途的EH技术。本文提出了一种采用不同型号肖特基二极管HSMS-2822、HSMS-2850和HSMS-286B的RF-EH模块倍压子系统的高效设计方案。Greinacher倍压电路多频段,包括915mhz (GSM),(2.4和5.2)GHz (WI-FI)频段进行审查。高达10级肖特基二极管电压倍增电路的研究,其中性能评估使用安捷伦ADS软件。结果表明,HSMS-286B肖特基二极管在GSM频段信号源中表现出较好的性能,而HSMS-2850是WI-FI频段信号源的最佳选择。
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引用次数: 1
Circuitry Approaches for Reducing of the Zero Level in Three-Stage CJFET Operational Amplifier 降低三级CJFET运算放大器零电平的电路方法
N. Prokopenko, A. Titov, A. Bugakova, V. Chumakov
Circuit solutions CJFET three-stage OpAmp, in which non-ideal current mirrors (CMs) with a current transfer coefficient different from unity can be used in the intermediate stage, are considered. An OpAmp architecture in which the CM and all static-setting transistor references are replaced with identical JFET uncontrolled dynamic loads is proposed. Computer modeling in the CAD LTSpice (Analog Device, USA) and mathematical analysis of the proposed OpAmps made it possible to establish that OpAmp circuits are operable at negative temperatures (up to −197°C) and when exposed to a neutron flux up to 1014 n/cm2, have high values of open-loop gain (up to 100dB) and a small systematic component of the zero bias voltage due to the OpAmp circuitry.
考虑了CJFET三相运放的电路解决方案,其中在中间级可以使用具有不同单位电流传递系数的非理想电流镜。提出了一种OpAmp结构,其中CM和所有静态设置晶体管参考被相同的JFET不受控制的动态负载所取代。CAD LTSpice (Analog Device, USA)中的计算机建模和对所提出的OpAmp的数学分析使得可以确定OpAmp电路可在负温度(高达- 197°C)下工作,并且当暴露于高达1014 n/cm2的中子通量时,具有高开环增益值(高达100dB)和由于OpAmp电路而产生的零偏置电压的小系统分量。
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引用次数: 0
Intelligent Tamper Detection Systems using Machine Learning 使用机器学习的智能篡改检测系统
Basel Halak, Christian Hall, Syed Fathir, Nelson Kit, Ruwaydah Raymonde, Hugo Vincent
Existing anti-tamper designs protect against limited forms of attacks and have deterministic tamper responses, which can undermine the availability of systems. Advancements in physical inspection techniques have enabled stealthier attacks. Therefore, there is a pressing need for more intelligent defenses that ensure a longer operational time while keeping up with the expected increase in the capabilities of adversaries. This study proposes to enhance existing physical protection methods by developing an intelligent anti-tamper using machine learning algorithms. It uses an analytic system capable of detecting and classifying multiple types of behaviors (e.g., normal operation conditions, known attack vectors, and anomalous behavior). A prototype of the proposed system has been implemented and its functionality has been successfully verified for two types of normal operating conditions and further four forms of physical attacks. In addition, a systematic threat modelling analysis and security validation was carried out, which indicated the proposed solution provides better protection against including information leakage, loss of data, and disruption of operation.
现有的防篡改设计可以防止有限形式的攻击,并且具有确定性的篡改响应,这可能会破坏系统的可用性。物理检测技术的进步使得隐形攻击成为可能。因此,迫切需要更智能的防御,以确保更长的作战时间,同时跟上对手能力的预期增长。本研究提出通过使用机器学习算法开发智能防篡改来增强现有的物理保护方法。它使用一个分析系统,能够检测和分类多种类型的行为(例如,正常操作条件,已知的攻击向量和异常行为)。建议系统的原型已经实施,其功能已成功验证两种正常操作条件和另外四种形式的物理攻击。此外,进行了系统的威胁建模分析和安全验证,表明所提出的解决方案提供了更好的保护,包括防止信息泄露、数据丢失和操作中断。
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引用次数: 0
A CNN-based QTMT partitioning decision for the VVC standard 针对VVC标准的基于cnn的QTMT分区决策
Bouthaina Abdallah, Sonda Ben Jdidia, Fatma Belghith, Mohamed Ali Ben Ayed, N. Masmoudi
The Versatile Video Coding (VVC) standard enhances the coding performance in terms of bitrate and quality compared to its predecessor High Efficiency Video Coding (HEVC) at the expense of an additional coding complexity. This complexity is due to the new partitioning improvement named quadtree with nested multi-type tree (QTMT) which includes more partition shapes increasing the rate-distortion optimization (RDO) complexity. In this paper, a fast QTMT partition approach based on the Convolutional Neural Network (CNN) is proposed for the purpose of reducing the computational complexity. In fact, an intra QTMT decision tree method using a Convolutional Neural Network-binary tree horizontal (CNN-BTH) model is elaborated to determine the BTH decision depths at the 32×32 block size. The suggested fast partitioning algorithm achieves an important gain in the encoding time up to 64.26% compared to the original VVC software reference VTM-3.0. It allows a significant computational complexity reduction of 58.28% on average and an acceptable loss in the encoding performance.
多功能视频编码(VVC)标准在比特率和编码质量方面提高了编码性能,但其代价是增加了编码复杂性。这种复杂性是由于新的分区改进,称为四叉树嵌套多类型树(QTMT),它包含更多的分区形状,增加了率失真优化(RDO)的复杂性。本文提出了一种基于卷积神经网络(CNN)的快速QTMT划分方法,以降低计算复杂度。实际上,本文提出了一种基于卷积神经网络-二叉树水平(CNN-BTH)模型的QTMT决策树方法来确定32×32块大小处的BTH决策深度。与原有VVC软件参考VTM-3.0相比,本文提出的快速分割算法的编码时间提高了64.26%。它允许显著的计算复杂度平均降低58.28%,并且在编码性能上有可接受的损失。
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引用次数: 2
Development of optical sensor for determination of perchlorate ions 高氯酸盐离子光学传感器的研制
N. B. Messaoud, C. Dridi, M. N. Abbas
An optical sensor for perchlorate anions (CIO4-) comprising a structure of Cobalt phthalocyanine derivative (Co(II)Pc-PAA) modified glass electrode has been developed. The immobilization of Co(II)Pc-PAA membrane was confirmed by contact angle measurements. The response was determined by the increase in the absorbance signal as a function of exposure to buffer solutions containing different concentrations of CIO4- anions. The optical sensor showed a linear response to CI04- from 10–10M to 10–2 M, with a limit of detection of 4.81 Χ10−10M, one of the lowest achieved up until now. The proposed sensor has demonstrated a good specificity to CIO4- when compared to common interferents anions such as CIand NO3-. To the best of our knowledge, this is the first optode system for the detection of CIO4-, which provides a promising sensor for the specific and sensitive determination of CIO4- in environmental water samples.
研制了一种由酞菁钴衍生物(Co(II)Pc-PAA)修饰玻璃电极结构组成的高氯酸盐阴离子(CIO4-)光学传感器。通过接触角的测定证实了Co(II)Pc-PAA膜的固定化作用。这种响应是通过暴露于含有不同浓度的CIO4-阴离子的缓冲溶液中吸光度信号的增加来确定的。该光学传感器对CI04-在10-10M到10 - 2m范围内呈线性响应,检测限为4.81 Χ10−10M,是迄今为止实现的最低检测限之一。与常见的干扰阴离子(如CI -和NO3-)相比,该传感器对CIO4-具有良好的特异性。据我们所知,这是第一个用于检测CIO4-的光电系统,它为环境水样中CIO4-的特异性和敏感性测定提供了一个有前途的传感器。
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引用次数: 0
Hand Movement Recognition with Long Short-Term Memory based Pattern Recognition of Acoustic Myography signals 基于听觉肌电信号模式识别的长短期记忆手动作识别
Ali H. Al-timemy, Y. Serrestou, R. Khushaba, S. Yacoub, K. Raoof
Upper limb prosthesis control with pattern recognition (PR)- based on surface Electromyogram (EMG) signals has been heavily investigated in the literature. However, challenges related to signal non-stationarity and its impact by changing force levels, limb positions and many other factors all lead to poor system stability, prevent the widespread adoption of this technology. In this study, we propose an alternative modality based on Acoustic Myography (AMG), a recording of muscle vibrations at low frequencies, as a control signal to decipher the intended hand movements. A custom-built AMG armband, consisting of 4 microphones, has been developed in this study and evaluated on intact-limbed subjects performing six classes of hand and finger movements. Time domain and auto-regression (TD-AR) features, in addition to Bi long-short term memory (BiLSTM) deep learning classifier were utilized to perform the classification. An average classification accuracy of 85% was obtained, which shows the potential of using the developed AMG armband, with PR system for prostheses control.
基于表面肌电图(EMG)信号的模式识别控制上肢假肢已经在文献中得到了大量的研究。然而,与信号非平稳性相关的挑战以及改变力水平、肢体位置和许多其他因素的影响都会导致系统稳定性差,阻碍了该技术的广泛采用。在这项研究中,我们提出了一种基于声学肌图(AMG)的替代方式,即记录低频肌肉振动,作为控制信号来破译预期的手部运动。本研究开发了一种由4个麦克风组成的定制AMG臂带,并对四肢健全的受试者进行了六类手部和手指运动的评估。利用时域和自回归(TD-AR)特征,以及Bi长短期记忆(BiLSTM)深度学习分类器进行分类。平均分类准确率达到85%,显示了将所开发的AMG臂带与PR系统一起用于假肢控制的潜力。
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引用次数: 0
High-Performance CMOS Tunable Differential Active Inductor for RF applications 用于射频应用的高性能CMOS可调谐差分有源电感器
Sehmi Saad, F. Haddad, Aymen Ben Hammadi
Design of a CMOS compact tunable differential active inductor (DAI) suitable to low-cost and multi-standard systems is presented. The structure uses only active components, based on the Gyrator-C topology approach with two cross-coupled pairs and an additive feedback resistance to enhance the quality factor (Q). The proposed DAI, implemented in 130 nm CMOS process, achieves a Self-Resonance Frequency (SRF) from few Megahertz to 3.3 GHz. As well, it demonstrates a Q ≈ 388 at 2.31GHz, while the achieved inductance tuning range varies from 33 nH to 98 nH. The circuit consumes 7.28 mW from 1.2 V supply and occupies a small area of only (19×45) um2, Noise, linearity and sensitivity of the proposed DAI to process and mismatch variations are also studied in the paper.
设计了一种适用于低成本、多标准系统的CMOS紧凑型可调谐差动有源电感(DAI)。该结构仅使用有源元件,基于gyrater -c拓扑方法,具有两个交叉耦合对和加性反馈电阻,以提高质量因子(Q)。所提出的DAI在130 nm CMOS工艺中实现,实现了从几兆赫到3.3 GHz的自共振频率(SRF)。此外,在2.31GHz时,它的Q≈388,而实现的电感调谐范围从33 nH到98 nH不等。该电路从1.2 V电源消耗7.28 mW,仅占用(19×45) um2的小面积。本文还研究了所提出的DAI对加工和失配变化的噪声,线性度和灵敏度。
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引用次数: 1
Evaluation of FinFET in Ultra Low Power ALU 超低功耗ALU中FinFET的评估
Avinash Yadhav, M. Rizkalla, T. Ytterdal, J. J. Lee, L. Balasubramanian, A. Gopinath
The data path and memory elements are integral hardware components to evaluate the performance of a complex ASIC low power architecture. In this study, a FinFET model was evaluated via 7 nm FinFET process using ASAP PDK and applied to 6T SRAM cells and 32-bit ALU architecture. Devices of 0.207 V threshold were biased at 0.7V supply voltage. The clock router was properly modeled with accurate values of resistances and capacitances for the metal layers. The noise glitch and cross talk within the parallel running interconnects and the driving loads were incorporated in the model. A command set clock uncertainty is also integrated into the model to incorporate the clock jitter and clock skew effects. The architecture was optimized for worst case scenario with typical RC corners. The Non-Linear Delay Model (NLDM) was incorporated for the cell synthesis where a delay that is based on the input transition and output load capacitance was incorporated for better quality of results (QoR). The low power architecture was evaluated for worst case scenario considering typical-typical (TT) corners. A maximum effective device current of 18.26µA with subthreshold slope of 60mV/decade were estimated and considered in the system evaluation. The output ports were loaded with a typical 2fF capacitance. At 1 GHz operation, the internal power, switching power, and leakage power are reported to be 0.2705 mW, 0.7599 mW, and 0.00743 mW, respectively.
数据路径和存储元件是评估复杂ASIC低功耗架构性能的不可或缺的硬件组件。在本研究中,使用ASAP PDK通过7 nm FinFET工艺对FinFET模型进行了评估,并将其应用于6T SRAM单元和32位ALU架构。阈值为0.207 V的器件在0.7V电源电压下偏置。时钟路由器是正确的建模与准确的电阻和电容值的金属层。该模型考虑了并联运行互连中的噪声干扰和串扰以及驱动负载。命令集时钟不确定性也被集成到模型中,以结合时钟抖动和时钟倾斜效应。该架构针对具有典型RC角的最坏情况进行了优化。非线性延迟模型(NLDM)被纳入到单元合成中,其中基于输入跃迁和输出负载电容的延迟被纳入到更好的结果质量(QoR)。考虑到典型(TT)拐角,对低功耗架构进行了最坏情况评估。估计器件最大有效电流为18.26µA,亚阈值斜率为60mV/ 10年,并在系统评估中予以考虑。输出端口负载典型的2fF电容。在1ghz工作时,内部功率、开关功率和泄漏功率分别为0.2705 mW、0.7599 mW和0.00743 mW。
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引用次数: 0
Infrared Absorbance of Distributed-Size HgTe Quantum Dots Under Diffuse Reflectance 漫反射下分布尺寸HgTe量子点的红外吸光度
M. Kelany, Shaimaa Ib. Aref, M. Kana, Y. Sabry, Hasnaa M. Fahmy, D. Khalil
Colloidal quantum dots (CQDs) have various uses in photodetectors, solar cell devices and spectroscopic signal enhancement. In this paper, we synthesize mercury telluride (HgTe) CQDs and study the effect of the QDs size distribution on their infrared absorbance spectrum. The resulting dots are characterized using x-ray diffraction analysis and the size was found to be about 8.6 nm with a standard deviation of about 2 nm using high-resolution transmission electron microscope. The produced CQDs are optically characterized using Fourier transform infrared spectrometer in diffuse reflectance mode in the wavelength range from 3 to 11 μm. The absorption shows a wide absorption edge rather than a sharp feature. The measured data are fitted with a sum of a polynomial and five gaussian functions to extract the absorption lines of the QDs.
胶体量子点(CQDs)在光电探测器、太阳能电池器件和光谱信号增强方面有多种用途。本文合成了碲化汞(HgTe)量子点,并研究了量子点尺寸分布对其红外吸收光谱的影响。利用x射线衍射分析对所得圆点进行了表征,高分辨率透射电镜发现其尺寸约为8.6 nm,标准差约为2 nm。利用傅里叶变换红外光谱仪在3 ~ 11 μm波长范围内对所制备的CQDs进行了漫反射表征。吸收表现为宽的吸收边缘而不是尖锐的特征。用一个多项式和五个高斯函数对测量数据进行拟合,提取量子点的吸收谱线。
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引用次数: 0
An Ultra-Wideband noise-reduction LNA With Variable Gain for Wireless Wake-up Receivers 一种用于无线唤醒接收机的变增益超宽带降噪LNA
Mariem Bouraoui, I. Barraj, Amel Neifar, M. Masmoudi
The design of an ultra-wideband low-noise amplifier for wake-up receiver applications is discussed in this article. The LNA circuit is developed for the 3–9 GHz frequency ranges using RF-TSMC CMOS 0.18µm. To lower the noise figure, substrate resistance is added. The improved LNA achieves a low noise figure of 1.66 dB, which is 47% better than the original circuit, and a maximum power gain of 21.02 dB over the operating frequency range. The designed LNA dissipates 12.3mW at 1V.
本文讨论了一种用于唤醒接收机的超宽带低噪声放大器的设计。LNA电路采用RF-TSMC CMOS 0.18µm,适用于3 - 9ghz频率范围。为了降低噪声系数,增加了衬底电阻。改进后的LNA实现了1.66 dB的低噪声系数,比原电路提高了47%,在工作频率范围内的最大功率增益为21.02 dB。设计的LNA在1V时功耗为12.3mW。
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引用次数: 1
期刊
2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)
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