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2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)最新文献

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Unconventional Logic on Memristor-Based Oscillatory Medium 基于忆阻器的振荡介质的非常规逻辑
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493412
Theodoros Panagiotis Chatzinikolaou, Iosif-Angelos Fyrigos, V. Ntinas, Stavros Kitsios, P. Bousoulas, Michail-Antisthenis I. Tsompanas, D. Tsoukalas, G. Sirakoulis
Unconventional computing systems, inspired by nature’s mechanisms, provide new ways to efficiently perform several rather complex computations. Instead of the commonly used digital computing systems, a well-known unconventional approach is the utilisation of oscillating networks to execute computations. The rich dynamics of such networks can be exploited in nanoelectronic-scale by novel devices, like memristors that incorporate inherent memory features and computing capabilities. In this work, the threshold switching mechanism of low-voltage forming-free CBRAM devices is used to develop memristor-based oscillators, which are able to function as a medium for oscillation-based computations. Given the local diffusive coupling of the proposed memristor-based oscillators, the medium is capable of performing Boolean computations through oscillation interactions.
受自然机制启发的非常规计算系统提供了有效执行若干相当复杂计算的新方法。代替常用的数字计算系统,一种众所周知的非常规方法是利用振荡网络来执行计算。这种网络的丰富动态可以在纳米电子尺度上被新设备利用,比如结合了固有记忆特征和计算能力的忆阻器。在这项工作中,使用低压无成形CBRAM器件的阈值开关机制来开发基于忆阻器的振荡器,该振荡器能够作为基于振荡计算的介质。考虑到所提出的基于忆阻器的振荡器的局部扩散耦合,介质能够通过振荡相互作用进行布尔计算。
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引用次数: 7
On the Synthesis of Feasible Sources for Next Generation Smart EM Environments 下一代智能电磁环境可行源的综合研究
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493390
M. Salucci, A. Benoni, P. D. Rù, P. Rocca, A. Massa
The synthesis of unconventional feasible sources for building future smart electromagnetic (EM) environments is addressed in this work. Towards this aim, inverse scattering theory and concepts are effectively reformulated and exploited to design field manipulating devices (FMDs) able to modify the field radiated by a primary source (i.e., the base-station antenna) and match a user-defined target field distribution. The proposed framework allows to synthesize passive, dielectric-only, and cost-effective FMDs that could be in principle used to build bio-inspired "smart objects" within the urban environment that positively contribute to the overall system quality-of-service (QoS). An illustrative numerical proof-of-concept is shown to assess the potentialities of the proposed design framework.
在这项工作中,研究了构建未来智能电磁(EM)环境的非常规可行源的综合。为了实现这一目标,逆散射理论和概念被有效地重新表述并用于设计场操纵装置(fmd),该装置能够修改一次源(即基站天线)辐射的场,并匹配用户定义的目标场分布。所提出的框架允许合成无源、仅电介质和具有成本效益的fmd,原则上可用于在城市环境中构建生物启发的“智能对象”,从而对整个系统服务质量(QoS)做出积极贡献。一个说明性的数字概念验证显示,以评估所提出的设计框架的潜力。
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引用次数: 4
Energy Efficient Speech Command Recognition for Private Smart Home IoT Applications 节能语音命令识别用于私人智能家居物联网应用
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493392
Christos Zonios, V. Tenentes
Speech command recognition (SCR) services for smart homes rely on enterprise cloud servers and a fast internet connection. This negatively impacts service availability in offline use, and it raises privacy concerns in online use. The utilization of high computational resources on Internet-of-Things (IoT) nodes and IoT gateways, allows for traditionally cloud-based services to be implemented closer to the end users. In this paper, we propose a SCR system that consists of an energy-efficient IoT node that communicates over a private BLE home network with an IoT gateway. Feature extraction on sound signals is performed on the IoT node, and speech command classification is performed on the IoT gateway using a novel deep neural network (DNN) model. We evaluate the DNN model accuracy of the proposed system using k-fold cross validation, and tune it based on the effect of different feature extraction parameters on the prediction accuracy, the IoT node energy consumption and system latency. The proposed system performs a task (sound acquisition, feature extraction, transmission and classification) with accuracy higher than 87.8%, latency ∼1.136 sec, and consumes ∼0.87 J of energy on the IoT node per task. The estimated system battery life is more than 422 days when performing a task per minute using a 3.7 V, 2000 mAh battery. The long-term battery life and the small footprint of the proposed system, make it ideal for cable-free discrete smart home installations and for wearable devices, while its offline availability reduces privacy concerns.
智能家居的语音命令识别(SCR)服务依赖于企业云服务器和快速互联网连接。这会对离线使用中的服务可用性产生负面影响,并且会引起在线使用中的隐私问题。利用物联网(IoT)节点和物联网网关上的高计算资源,可以使传统的基于云的服务更接近最终用户。在本文中,我们提出了一个由节能物联网节点组成的可控硅系统,该节点通过专用BLE家庭网络与物联网网关进行通信。在物联网节点上对声音信号进行特征提取,并使用新型深度神经网络(DNN)模型在物联网网关上执行语音命令分类。我们使用k-fold交叉验证来评估所提出系统的DNN模型精度,并根据不同特征提取参数对预测精度、物联网节点能耗和系统延迟的影响进行调整。该系统执行一项任务(声音采集、特征提取、传输和分类),准确率高于87.8%,延迟~ 1.136秒,每个任务在物联网节点上消耗约0.87 J的能量。当使用3.7 V, 2000 mAh电池每分钟执行一次任务时,估计系统电池寿命超过422天。该系统的电池寿命长,占地面积小,非常适合无电缆的离散智能家居安装和可穿戴设备,同时其离线可用性减少了对隐私的担忧。
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引用次数: 4
ATLAS toward the High Luminosity era: challenges on electronic systems 迈向高亮度时代的ATLAS:对电子系统的挑战
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493337
Junjie Zhu
To maximize the physics reach, the Large Hadron Collider (LHC) plans to increase its instantaneous luminosity to 7.5×1034 cm–2s–1 and deliver 3 – 4 ab–1 of data at a center-of-mass energy of 14 TeV. To profit from this high-luminosity LHC operation with a pile-up up to 200 inelastic collisions per bunch crossing, performance of the ATLAS detector needs to be maintained and in many systems, improved. The upgraded detector will have an unprecedented output data rate of up to 200 TB/s. Real-time processing of this large data volume in a short time period is extremely challenging. New sets of both front-end and back-end electronics are required for all sub-detectors. The large number of detector channels, huge volumes of input and output data, short time available to process and transmit data, harsh radiation environment, and the need of low power consumption all impose great challenges on the designs of electronic systems.
为了最大限度地提高物理效果,大型强子对撞机(LHC)计划将其瞬时光度提高到7.5×1034 cm-2s-1,并以14 TeV的质心能量传输3 - 4 ab-1的数据。为了从这种高亮度的LHC操作中获益,每次束交叉会产生多达200次的非弹性碰撞,ATLAS探测器的性能需要得到维持,并在许多系统中得到改善。升级后的探测器将具有前所未有的高达200tb /s的输出数据速率。在短时间内实时处理如此庞大的数据量是极具挑战性的。所有子探测器都需要新的前端和后端电子设备。探测器通道数量多、输入输出数据量大、处理和传输数据的时间短、辐射环境恶劣、低功耗要求等都对电子系统的设计提出了很大的挑战。
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引用次数: 0
Design and Analysis of an Implantable Dual-Band Antenna for Pancreas Biotelemetry 胰腺生物遥测植入式双频天线的设计与分析
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493403
M. Matthaiou, S. Koulouridis, S. Kotsopoulos
This paper presents an implantable, miniaturized, dual band microstrip antenna for pancreas biotelemetry in the Medical Device Radiocommunications Service (MedRadio) band (401-406 MHz) and the Industrial Scientific and Medical ISM band (2.4-2.483 GHz). Miniaturization and dual band operation are achieved by inserting a shorting pin and two U-shaped slots on its conductive surface. The current density upon the surface of the antenna and resonance are evaluated to study the effect of design modifications on the antenna operation. In addition, reflection coefficient, adjustment of the input resistance and radiation performance are presented.
本文提出了一种用于医疗设备无线电通信服务(MedRadio)频段(401-406 MHz)和工业科学和医疗ISM频段(2.4-2.483 GHz)胰腺生物遥测的可植入、小型化双频微带天线。通过在其导电表面插入一个短针和两个u形槽,实现了小型化和双波段操作。对天线表面的电流密度和谐振进行了评估,以研究设计修改对天线工作的影响。此外,给出了反射系数、输入电阻的调整和辐射性能。
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引用次数: 1
Design and Implementation of an Intelligent Control System for a Lower-Limb Exoskeleton to Reduce Human Energy Consumption 降低人体能量消耗的下肢外骨骼智能控制系统的设计与实现
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493401
Hamidreza Talatian, M. Karami, H. Moradi, G. Vossoughi
Power augmentation is known to be one of the important applications of Exoskeletons. This paper designs a control strategy to reduce the energy consumed by users in power augmentation mode. The strategy aims to calculate and apply the interaction force between humans and robots according to human intentions. To realize human intentions, the movement's kinematic characteristics and the user's muscular activity were used. The movement patterns were learned by the robot using a set of adaptive oscillators. The human movement pattern in each movement cycle was considered the basis for predicting human intention in the next cycle. Thereby, the robot's optimal path and interaction torque were calculated and applied to the robot by the internal control loop. Within this process, Electromyography (EMG) signals are used to coordinate the robot's interaction torque with human intention. This torque is modified continuously based on the EMG signals for each moment of the movement phase. Further, this control strategy's performance was first simulated and eventually evaluated by implementing them in the experimental testbed. The results confirmed that the control strategy adopted help to achieve predefined goals.
功率增强被认为是外骨骼的重要应用之一。本文设计了一种控制策略,以降低用户在功率增强模式下的能耗。该策略旨在根据人的意图计算和应用人与机器人之间的相互作用力。为了实现人的意图,运动的运动学特征和使用者的肌肉活动被利用。机器人通过一组自适应振荡器学习运动模式。每个运动周期中的人类运动模式被认为是预测下一个周期中人类意图的基础。从而计算出机器人的最优路径和相互作用力矩,并通过内控回路作用于机器人。在这个过程中,肌电图(EMG)信号被用来协调机器人的交互扭矩与人类的意图。该扭矩根据运动阶段的每个时刻的肌电信号不断修改。此外,该控制策略的性能首先进行了仿真,并最终通过在实验测试平台上实现进行了评估。结果表明,所采用的控制策略有助于实现预定目标。
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引用次数: 1
A novel time register with process and temperature calibration 一种具有过程和温度校准的新型时间寄存器
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493414
Orfeas Panetas-Felouris, S. Vlassis
This paper presents a novel time register circuit suitable for time-based or time-domain signal processing. The proposed circuit is based on the capacitor discharging method and is compensated against technology process and chip temperature variations using a novel calibration loop based on master-slave approach. The loop contains a high-speed comparator based on simple current-starved inverter logic along with a triple-point threshold voltage stabilization loop. The circuit is designed using 28nm Samsung FD-SOI process under 1V supply voltage with 10MHz operating frequency. Simulation results present an almost constant capacitor voltage discharging slope of the time register over worst case process corners and temperature between 0°C and 100°C while consuming only 10μA.
本文提出了一种适用于基于时间或时域信号处理的新型时间寄存器电路。该电路基于电容放电方法,并采用一种基于主从方法的新型校准回路对工艺过程和芯片温度变化进行补偿。该回路包含一个基于简单缺流逆变器逻辑的高速比较器以及一个三点阈值电压稳定回路。电路采用28nm三星FD-SOI工艺,在1V电源电压和10MHz工作频率下设计。仿真结果表明,在最坏情况下,在0°C和100°C之间的温度范围内,时间寄存器的电容电压放电斜率几乎恒定,而功耗仅为10μA。
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引用次数: 5
Ultra-Low Power, Low-Voltage, Fully-Tunable, Bulk-Controlled Bump Circuit 超低功耗,低电压,完全可调,批量控制的凹凸电路
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493363
Vassilis Alimisis, Marios Gourdouparis, Christos Dimas, P. Sotiriadis
This work proposes an ultra-low power (6.0nW), low voltage (0.6V), bulk-controlled, 10-transistors bump circuit architecture for Gaussian-function implementation. It can be used as a building block for analog implementation of Gaussian Mixture Model and Kernel Methods. The Gaussians curve width, height and center are independently and electronically adjustable. It consists of a modified current correlator and a bulk-controlled differential block with all transistors operating in sub-threshold. Proper operation, accuracy and robustness are confirmed via simulation and theoretical analysis. It was implemented in TSMC 90nm CMOS process and was simulated using the Cadence IC Suite.
本研究提出了一种超低功耗(6.0nW)、低电压(0.6V)、体控、10晶体管碰撞电路架构,用于实现高斯函数。它可以作为高斯混合模型和核方法模拟实现的构建块。高斯曲线的宽度,高度和中心是独立的和电子可调的。它由一个改进的电流相关器和一个块控差分块组成,所有晶体管都工作在亚阈值下。通过仿真和理论分析,验证了该方法的正确性、准确性和鲁棒性。采用台积电90nm CMOS工艺实现,并采用Cadence IC Suite进行仿真。
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引用次数: 2
A Novel Low-power Neuromorphic Circuit based on Izhikevich Model 一种基于Izhikevich模型的新型低功耗神经形态电路
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493396
Maria Sapounaki, A. Kakarountas
In recent years, scientists strove to create devices that may ameliorate patients’ lives who suffer from a neuronal disease. These devices are mainly based on neuromorphic circuits and usually employ mathematical equations. This paper implements Izhikevich (IZH) mathematical model on an FPGA board. The paper proposes an innovative hardware architecture that creates an application-specific Processing Unit for implementing a neuron. The design achieves to decrease power consumption by 37,5% and 16% of the dynamic and the total power consumption, respectively, while maintaining the computational speed at the same level, compared to similar works.
近年来,科学家们努力创造出可以改善患有神经疾病的患者生活的设备。这些装置主要基于神经形态回路,通常采用数学方程式。本文在FPGA板上实现了Izhikevich (IZH)数学模型。本文提出了一种创新的硬件架构,它创建了一个特定于应用程序的处理单元来实现神经元。与同类产品相比,在保持计算速度不变的情况下,实现了动态功耗和总功耗分别降低37.5%和16%。
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引用次数: 0
Sensor Design for Inductive Proximity and Moving Direction Sensing of Metal Targets 金属目标感应接近与运动方向传感器设计
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493359
Cristinel Ababei, J. Richie
We present the design of a new inductive proximity sensor to detect metal targets and their direction of movement. The proposed sensor design includes a base board with the necessary microcontroller based circuitry for driving and reading the sensing LC tanks and several different solutions for the printed sensor coil. Different coil configurations are fabricated on separate printed circuit boards designed to plug-and-play into the base board. They are intended for different specific applications including for sensing metal targets approaching perpendicularly on the coil plane and for sensing and identifying the lateral direction of movement (i.e., left-to-right or right-to-left). The coil designs are studied via simulations using the freely available Numerical Electromagnetics Code (NEC). A complete hardware prototype is developed and demonstrated to detect different metal targets, including copper, brass, aluminum, and stainless steel. It is also shown that measurements obtained from hardware experiments are in good agreement with the simulations.
本文设计了一种新型的感应式接近传感器,用于探测金属目标及其运动方向。提出的传感器设计包括一个带有必要的微控制器电路的基板,用于驱动和读取传感LC槽,以及用于印刷传感器线圈的几种不同解决方案。不同的线圈配置是在单独的印刷电路板上制造的,设计成即插即用的基础板。它们适用于不同的特定应用,包括感应在线圈平面上垂直接近的金属目标,以及感应和识别运动的横向方向(即从左到右或从右到左)。利用免费的数值电磁学代码(NEC)对线圈的设计进行了仿真研究。开发并演示了一个完整的硬件原型,以检测不同的金属目标,包括铜、黄铜、铝和不锈钢。硬件实验结果与仿真结果吻合较好。
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引用次数: 0
期刊
2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)
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