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2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)最新文献

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Deep Fast Embedded CapsNet: Going Faster with Deep-Caps 深快速嵌入CapsNet:走得更快与深帽
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531794
Islam Eldifrawi, M. Abo-Zahhad, A. El-Malek, M. Abdelwahab
Deep Capsule Network is a proven concept for understanding complex data in computer vision. Deep Capsule Networks achieved state-of-the-art accuracy Canadian institute for advanced research (CIFAR10), which is not achieved by shallow capsule networks. Despite all these accomplishments, Deep Capsule Networks are very slow due to the ‘Dynamic Routing’ algorithm in addition to their deep architecture. In this paper, the deep fast embedded capsule network (Deep-FECapsNet) is introduced. Deep-FECapsNet is a novel deep capsule network architecture that uses 1D convolution-based dynamic routing with a fast element-wise multiplication transformation process. It competes with state-of-the-art methods in terms of accuracy in the capsule domain and excels in terms of speed and reduced complexity. This is shown by the 58% reduction in trainable parameters and 64% decrease in the average epoch time in the training process. Experimental results show excellent and verified properties.
深度胶囊网络是一个经过验证的概念,用于理解计算机视觉中的复杂数据。深胶囊网络达到了加拿大高级研究所(CIFAR10)最先进的精度,这是浅胶囊网络无法达到的。尽管有这些成就,由于“动态路由”算法和它们的深层架构,深度胶囊网络非常慢。本文介绍了深度快速嵌入式胶囊网络(deep - fecapsnet)。deep - fecapsnet是一种新颖的深度胶囊网络架构,它使用基于一维卷积的动态路由和快速的元素智能乘法变换过程。它在胶囊领域的准确性方面与最先进的方法竞争,在速度和降低复杂性方面表现出色。训练过程中的可训练参数减少了58%,平均历元时间减少了64%。实验结果显示了优异的性能。
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引用次数: 1
Powerline Energy Harvesting Circuit with a Desaturation Controller for a Magnetic Core 带有磁芯去饱和控制器的电力线能量收集电路
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531890
Jinhua Wang, Jaehoon Kim, D. Ha
The proposed powerline energy harvesting circuit aims to prevent saturation of a magnetic core, resulting increase of the harvested energy. The proposed magnetic field energy harvester (MFEH) has two secondary coils, the original one to harvest energy from the primary powerline and the additional one to desaturate the magnetic core. When the magnetic core is saturated by the magnetic field generated by the powerline, current starts to flow through the additional coil to desaturate the core. The desaturation controller is composed of a current sensor and a microcontroller unit (MCU) with associated switches. Experimental results show that the proposed circuit harvests 42.7 mW under powerline current of 25 A in rms. The circuit increases the amount of harvested power by 5.2 mW or 13.7 % through desaturation of the core.
提出的电力线能量收集电路旨在防止磁芯饱和,从而增加收集的能量。所提出的磁场能量收集器(MFEH)有两个次级线圈,原始线圈用于从主电力线收集能量,另外一个线圈用于使磁芯去饱和。当磁芯被电力线产生的磁场饱和时,电流开始流过额外的线圈,使磁芯去饱和。去饱和控制器由一个电流传感器和一个带有相关开关的微控制器单元(MCU)组成。实验结果表明,在有效值为25 A的电力线电流下,该电路的输出功率为42.7 mW。该电路通过芯的去饱和增加了5.2 mW或13.7%的收获功率。
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引用次数: 4
Design of filters with variable transmission zeros for highly accurate instantaneous frequency estimation 用于高精度瞬时频率估计的可变传输零点滤波器的设计
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531907
Keisuke Takao, Takahiro Natori, N. Aikawa
The instantaneous frequency of a sine wave can be estimated using a Hilbert transformer. However, there is a ripple in the amplitude characteristics of finite-order Hilbert transformers. The estimate thus contains an oscillatory component that depends on this ripple. In this paper, we theoretically show that the frequency of the oscillation component is an even multiple of the input signal frequency. We propose a method for designing a low-pass FIR filter with variable transmission zeros. A simulation is used to show that this filter improves estimation accuracy.
正弦波的瞬时频率可以用希尔伯特变压器估计出来。然而,有限阶希尔伯特变压器的振幅特性存在纹波。因此,估计包含依赖于该纹波的振荡分量。本文从理论上证明了振荡分量的频率是输入信号频率的偶倍。我们提出了一种设计具有可变传输零点的低通FIR滤波器的方法。仿真结果表明,该滤波器提高了估计精度。
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引用次数: 0
Real-time multi-channel capacitive sensing system for cross bores detection and characterization 实时多通道电容传感系统用于交叉孔检测和表征
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531823
Jiaoyang Li, Guanyu Piao, Mohand Alzuhiri, V. Desai, Y. Deng
As many casualty incidents have been reported, gas-sewer pipe cross bore is recognized as a high-level risk and an increasing focus of the natural gas industry and the public. The sewer camera is the primary detection tool for the cross bore currently. However, it is limited by access to blocked and water-filled sewer pipes. Thus, there is an urgent need for developing an efficient and safe sensing system, which is not constrained by the challenging real field environment, to detect cross bores and prevent cross bore related incidents. A novel real-time multi-channel capacitive sensing system is proposed and developed to pass through the 2-inch gas pipe to perform the cross bore inspection nondestructively according to the changing material properties around the gas pipe. The designed capacitive sensing system is validated to have great performance to identify cross bores and estimate cross bore types based on the experimental results. This promising cross bore sensing system can be a good reference for the gas pipe industry.
由于近年来发生了大量的伤亡事故,燃气污水管交叉孔被认为是一种高度危险的管道,越来越受到天然气行业和公众的关注。下水道摄像机是目前十字型井眼的主要检测工具。然而,它受到堵塞和充满水的下水道管道的限制。因此,迫切需要开发一种高效、安全的传感系统,该系统不受具有挑战性的实际现场环境的限制,以检测交叉井眼并防止交叉井眼相关事故的发生。提出并研制了一种新型的实时多通道电容传感系统,该系统可根据管道周围材料特性的变化,通过2英寸管道进行非破坏性的跨孔检测。实验结果验证了所设计的电容式传感系统在识别交叉孔和估计交叉孔类型方面具有良好的性能。该系统具有良好的应用前景,可为燃气管道行业提供参考。
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引用次数: 1
A SoC Design of TrustZone based Key Provisioning for FPGA IP Protection 基于TrustZone的FPGA IP保护密钥发放SoC设计
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531874
Gregory Williams, Jerry Aizprua, Mohammad J Alhaddad, Doua Yang, Nabila BouSaba, F. Saqib
With the rise of globalization, third party intellectual property 3PIP use in the system on chip SoC and the horizontal business model of outsourcing the manufacturing and packaging processes has improved the design time, cost and adoption of newer sub-micron technologies. This however results in sharing the intellectual property with system integrators and the offshore foundries which has resulted in the new security vulnerabilities of the semiconductor supply chain. IP protection laws aren’t consistent across all countries, so companies need to protect their IP from untrustworthy foundries attempting to pirate their design.In this work we propose "AAFLE" (Automated Application for FPGA Logic Encryption), an automated application for IP developers to protect their design with an automated flow to lock the design using state of the art logic locking schemes. We will propose a secure hardware isolation mechanism that leverages ARM TrustZone to enable a secure key provisioning system. The system uses TOPPERS/SafeG, a dual-OS monitor, which allows a execution of two operating systems simultaneously, a non-trusted OS confined to the isolated hardware and a trusted OS with access to the entire SoC. The non-secure OS is a Linux kernel with an application that will ask users for the correct key in order to unlock the system. The secure OS is an RTOS application that is responsible for storing and checking for a correct key input, as well as giving this key to the encrypted hardware in the programmable logic.
随着全球化的兴起,第三方知识产权3PIP在片上系统SoC中的应用以及外包制造和封装过程的横向商业模式改善了设计时间,成本和更新的亚微米技术的采用。然而,这导致与系统集成商和离岸代工厂共享知识产权,从而导致半导体供应链出现新的安全漏洞。知识产权保护法并非在所有国家都是一致的,所以公司需要保护自己的知识产权,防止不值得信赖的代工厂试图盗版他们的设计。在这项工作中,我们提出了“AAFLE”(FPGA逻辑加密的自动化应用程序),这是IP开发人员使用最先进的逻辑锁定方案通过自动流程锁定设计来保护其设计的自动化应用程序。我们将提出一种安全的硬件隔离机制,该机制利用ARM TrustZone来实现安全的密钥供应系统。该系统使用双操作系统监视器TOPPERS/SafeG,允许同时执行两个操作系统,一个非受信任的操作系统被限制在隔离的硬件上,一个受信任的操作系统可以访问整个SoC。非安全操作系统是一个带有应用程序的Linux内核,该应用程序将要求用户输入正确的密钥以解锁系统。安全操作系统是一个RTOS应用程序,它负责存储和检查正确的密钥输入,并将此密钥提供给可编程逻辑中的加密硬件。
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引用次数: 1
Inductive Noise Coupling in Superconductive Passive Transmission Lines 超导无源传输线中的电感噪声耦合
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531837
G. Krylov, E. Friedman
Superconductive niobium-based circuits is a promising energy efficient beyond-CMOS technology that can supplement or replace existing large scale CMOS systems. Modern superconductive circuits utilize more than ten metal layers for gates and interconnect. Many sources of inductive coupling noise exist within this environment. Superconductive circuits are particularly vulnerable to inductive coupling, as the operation of the logic gates and flip flops depends on precise bias conditions, and the signal magnitude is relatively small. These inductive coupling sources are characterized, and the effects of inductive coupling noise in different circuit structures are described. Guidelines to mitigate the deleterious effects of coupling noise are presented.
超导铌基电路是一种很有前途的超CMOS节能技术,可以补充或取代现有的大规模CMOS系统。现代超导电路使用十多个金属层作为门和互连。在这种环境中存在许多电感耦合噪声源。超导电路特别容易受到电感耦合的影响,因为逻辑门和触发器的工作依赖于精确的偏置条件,而且信号幅度相对较小。对这些电感耦合源进行了表征,并描述了不同电路结构中电感耦合噪声的影响。提出了减轻耦合噪声有害影响的指导方针。
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引用次数: 2
A low power and low area mixed-signal neuronal cell for spiking neural networks 一种用于尖峰神经网络的低功耗、低面积混合信号神经元细胞
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531863
Carolina Raymond, Eric Gutierrez
We propose a simple neuronal cell for the implementation of low power and low area spiking neural networks. The neuronal cell mimics the performance of biological neural systems by combining both analog and digital circuits. This mixed-signal approach makes use of minimum-size sub-threshold biased devices. Additionally, conventional leaky integrate-and-fire model is simplified leading to smaller and simpler neuronal cells. The proposed cell is designed using a 50-nm CMOS node and its performance is validated by transient simulation. Power consumption and area are estimated, showing great potential in comparison to equivalent state-of-the-art solutions. Finally behavioral equations are proposed and matched to transient schematic simulations to make them available for future training tasks. The proposed neuronal cell attempts to become a suitable solution for ultra-low power smart devices with computing at the edge, such as wearables or remote sensors.
我们提出了一种简单的神经元细胞来实现低功耗和低面积尖峰神经网络。神经细胞通过结合模拟电路和数字电路来模拟生物神经系统的性能。这种混合信号方法利用了最小尺寸的亚阈值偏置器件。此外,简化了传统的泄漏集成-发射模型,使神经元细胞更小、更简单。采用50 nm CMOS节点设计了该电池,并通过瞬态仿真验证了其性能。功耗和面积的估计,显示出巨大的潜力相比,同等的最先进的解决方案。最后提出了行为方程,并将其与瞬态原理图仿真相匹配,为今后的训练任务提供依据。提出的神经元细胞试图成为超低功耗智能设备的合适解决方案,在边缘计算,如可穿戴设备或远程传感器。
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引用次数: 1
An Approximate Symmetry Clock Tree Design with Routing Topology Prediction 具有路由拓扑预测的近似对称时钟树设计
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531772
Meng Liu, Zhiye Zhang, Jiabao Wen, Yunpeng Jia
With the technology scaling, a simple clock tree can hardly handle the complex situations in a modern System-on-Chip (SoC), such as thousands of clock sinks, multiple process, voltage and temperature (PVT) corners, and several clock domains. To transform a single tree problem into sub-tree problems, the hybrid clock tree which consists of a top-level tree and several local trees is becoming the promising structure for timing closure due to its flexible timing characteristics. Top-level tree is designed as strict symmetrical structure with topological symmetry and symmetric overhead of wire resources, since the symmetry structure can help achieve zero-skew in theory. In our work, we present an approximate symmetry tree as the optimized top-level tree with the methodology of clustering and topology reconstruction. Considering a skew value bound, the wirelength cost is much reduced. The strategy for building our proposed tree is based on a machine learning-based predictor which can realize the fast analysis of the potential possibilities of routing patterns. Runtime for the tuning process can be much saved compared with traditional simulation method.
随着技术的扩展,简单的时钟树很难处理现代片上系统(SoC)中的复杂情况,例如数千个时钟接收器,多个进程,电压和温度(PVT)角,以及多个时钟域。为了将单树问题转化为子树问题,由一棵顶级树和若干棵局部树组成的混合时钟树由于其灵活的时序特性而成为一种很有前途的时序闭合结构。顶层树设计为严格对称结构,具有拓扑对称性和线资源开销对称,理论上对称结构有助于实现零偏。在我们的工作中,我们提出了一种近似对称树作为优化的顶层树,采用聚类和拓扑重建的方法。考虑了偏值边界,大大降低了带宽开销。构建树的策略是基于机器学习的预测器,它可以实现对路由模式潜在可能性的快速分析。与传统的仿真方法相比,可大大节省调优过程的运行时间。
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引用次数: 1
Data Augmentation for Object Detection: A Review 目标检测中的数据增强:综述
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531849
Parvinder Kaur, B. Khehra, Bhupinder Singh Mavi
Deep learning has been a game changer in the field of object detection in the last decade. But all the deep learning models for computer vision depend upon large amount of data for consistent results. For real life problems especially for medical imaging, availability of enough amounts of data is not always possible. Data augmentation is a collection of techniques that can be used to extend the dataset size and improve the quality of images in the dataset by a required amount. Logically it is used to make the deep learning model independent of the counterfeit features of the data space. In this paper a comprehensive review of data augmentation techniques for object detection is done. Problem of class imbalance is also outlined with possible solutions. In addition to train time augmentation techniques an overview of test time augmentations is also presented.
在过去十年中,深度学习已经改变了目标检测领域的游戏规则。但是所有计算机视觉的深度学习模型都依赖于大量的数据来获得一致的结果。对于现实生活中的问题,尤其是医学成像问题,获得足够数量的数据并不总是可能的。数据增强是一组技术,可用于扩展数据集大小,并在一定程度上提高数据集中图像的质量。逻辑上,它被用来使深度学习模型独立于数据空间的虚假特征。本文对用于目标检测的数据增强技术进行了综述。本文还概述了阶级失衡的问题,并提出了可能的解决办法。除了训练时间增强技术外,还概述了测试时间增强技术。
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引用次数: 22
LEnS: Lifetime Enhancement Coding Scheme for Non-volatile Memory Processors LEnS:非易失性存储器处理器的寿命增强编码方案
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531891
Swatilekha Majumdar
Limited write endurance and high write energy consumption per bit restrict the use of emerging non-volatile memory devices. Many studies concentrate on reducing the number of bit-flips per write operation to reduce bottleneck issues. In this paper, we propose a lifetime enhancement scheme for eNVM device-based memories that distributes the number of bit-flips across the bitstream and can improve the endurance and energy performance of the NVM processors. The proposed scheme significantly reduces the number of bit-flips by ≥40% in write-intensive applications and improves the processor’s performance by ~ 55% as compared to content-aware bit-shuffling scheme.
有限的写入持久性和高的每比特写入能耗限制了新兴的非易失性存储设备的使用。许多研究都集中在减少每次写操作的位翻转数量以减少瓶颈问题上。在本文中,我们提出了一种基于eNVM设备的存储器的寿命增强方案,该方案在比特流上分配比特翻转的数量,可以提高NVM处理器的续航时间和能量性能。与内容感知的位变换方案相比,该方案在写密集型应用中显著减少了至少40%的位翻转次数,并将处理器的性能提高了约55%。
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引用次数: 0
期刊
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
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