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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
A low kickback noise and low power dynamic comparator 低反打噪声和低功率动态比较器
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531668
Bibhudutta Satapathy, Amandeep Kaur
A low kickback noise and low power dynamic comparator is proposed in this paper. The designed comparator uses the current recycling approach to save power and proposes two kickback noise reduction techniques using only two additional switches. The technique I reduces the kickback noise from 20 mV to 7 mV and technique II reduces from 20 mV to 3 mV while consuming 11 µW and 21 µW, respectively of power. The proposed comparator is designed and simulated in UMC 180 nm CMOS process and is verified across the process corners. It operates at 100 MHz frequency and has an input range of 1 V. Monte Carlo simulations are also performed for the proposed techniques to test the design robustness.
本文提出了一种低反扰噪声、低功耗的动态比较器。设计的比较器使用当前的回收方法来节省功率,并提出了两种反反馈降噪技术,仅使用两个额外的开关。技术1将反踢噪声从20 mV降至7 mV,技术2从20 mV降至3 mV,功耗分别为11µW和21µW。在UMC 180nm CMOS工艺中设计并仿真了所提出的比较器,并进行了跨工艺角的验证。它的工作频率为100mhz,输入范围为1v。通过蒙特卡罗仿真验证了所提方法的鲁棒性。
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引用次数: 3
Facial Recognition System Using DWT, DCT, and Multilayer Sigmoid Neural Network Classifier 使用DWT, DCT和多层s型神经网络分类器的人脸识别系统
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531718
Genevieve Sapijaszko, W. Mikhael
Facial recognition systems have seen widespread use in numerous applications, including identity verification for phone security, missing person identification, and forensic investigations. The purpose of this study is to improve both the speed and accuracy of a facial recognition system, thus enhancing its suitability for real-world applications. The proposed system reduces overall computational complexity by using simple algorithms and transforms such as grayscaling, a two-dimensional discrete wavelet transform, and a two-dimensional discrete cosine transform. The classification algorithm increases accuracy by using a straight-forward multilayer sigmoid neural network, which better correlates the input and output data than existing methods. The recognition system is tested with four freely accessible datasets: the ORL, YALE, FERET-c, and FEI. A test set based on the combination of all datasets is also utilized to evaluate the system performance. Results show that the system still maintains high recognition rates despite reducing complexity compared to popular existing methods.
面部识别系统已经广泛应用于许多应用,包括电话安全的身份验证、失踪人员识别和法医调查。本研究的目的是提高人脸识别系统的速度和准确性,从而增强其对现实世界应用的适用性。该系统通过使用简单的算法和变换,如灰度化、二维离散小波变换和二维离散余弦变换,降低了整体的计算复杂度。该算法通过使用直接的多层s形神经网络来提高分类精度,与现有方法相比,该方法可以更好地关联输入和输出数据。该识别系统使用四个可自由访问的数据集进行测试:ORL, YALE, FERET-c和FEI。基于所有数据集的组合的测试集也被用来评估系统的性能。结果表明,与现有的常用方法相比,该系统在降低复杂性的同时仍保持了较高的识别率。
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引用次数: 0
A Controllable KVCO Ring VCO Topology 一种可控KVCO环型VCO拓扑
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531824
Rajath Bindiganavile, A. Tajalli
A differential ring Voltage Controlled Oscillator (VCO) with a controllable KVCO is introduced. The capability to control KVCO enables post-fabrication calibration of VCO gain, in order to reduce its vulnerability to Process, Voltage, and Temperature (PVT) variations. Performance of the proposed circuit topology, and its application in design of Phase-Locked Loops (PLLs), are analyzed. The gain of the proposed VCO can be tuned over ±20% of its nominal value. Simulations show that phase noise of the proposed circuit varies by less than 2 dBc/Hz compared to the conventional topology, at an offset frequency of 10 MHz, over its entire KVCO tuning range.
介绍了一种具有可控KVCO的差动环压控振荡器(VCO)。控制KVCO的能力可以实现VCO增益的制造后校准,以减少其对工艺,电压和温度(PVT)变化的脆弱性。分析了所提电路拓扑的性能及其在锁相环设计中的应用。所提出的压控振荡器的增益可调到其标称值的±20%。仿真结果表明,在整个KVCO调谐范围内,在偏移频率为10 MHz的情况下,所提出电路的相位噪声与传统拓扑相比变化小于2 dBc/Hz。
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引用次数: 0
Design of a 5-Bit Current Steering DAC for Driving High Forward Voltage LEDs 驱动高正向电压led的5位电流转向DAC的设计
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531744
Seyedfakhreddin Nabavi, A. Pourzadi, S. Bhadra
Over past decades, light-emitting diodes (LEDs) have been identified as an ordinary part of many industrial and biomedical applications and many attempts done to enlarge their versatility. This paper proposes a 5-bit current steering DAC with the capability of driving two LEDs in a commercial OSRAM photoplethysmography (PPG) sensor which have different forward voltages. The DAC operates based on the thermometer-code conversion and is designed for 65 nm TSMC technology. Combined with a LED driver circuit it is able to convert a 5-bit digital input to an LED current signal. Results indicate that the implemented DAC can reach up to 50 M samples per second (MS/s) and changing its input by 1 LSB leads to 940 µA variation in the LED current. It is shown that the DAC system can independently drive two LEDs with the forward voltages of 1.8 V and 2.8 V at different time instants. According to the binary input signal of the DAC, the amplitude of the driving current signal, which identifies the brightness of LEDs, can be varied between 3.29 mA and 32.45 mA at a maximum frequency of 50 KS/s.
在过去的几十年里,发光二极管(led)已被确定为许多工业和生物医学应用的普通部分,并进行了许多尝试来扩大其通用性。本文提出了一种5位电流转向DAC,能够驱动欧司朗商用光电体积脉搏波传感器(PPG)中具有不同正向电压的两个led。DAC基于温度计代码转换,设计用于65纳米台积电技术。结合LED驱动电路,它能够将5位数字输入转换为LED电流信号。结果表明,所实现的DAC可以达到每秒50 M个采样(MS/s),并且改变1 LSB的输入会导致LED电流变化940µA。实验结果表明,该DAC系统可以在不同时刻独立驱动正向电压分别为1.8 V和2.8 V的两个led。根据DAC的二进制输入信号,识别led亮度的驱动电流信号的幅值可以在3.29 mA到32.45 mA之间变化,最大频率为50 KS/s。
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引用次数: 0
SaFIoV: A Secure and Fast Communication in Fog-based Internet-of-Vehicles using SDN and Blockchain SaFIoV:基于SDN和区块链的基于雾的车联网安全快速通信
Pub Date : 2021-08-09 DOI: 10.1109/MWSCAS47672.2021.9531857
Jamal Alotaibi, Lubna K. Alazzawi
The Internet of Vehicles (IoV) is a decentralized network that enables data sharing between connected vehicles and vehicular ad hoc networks (VANETs). However, since different IoV applications have varied Quality-of-Service (QoS) requirements, creating an effective solution to cope with big data in IoV is challenging. Fog computing addresses the inherent flaw of centralized data processing in cloud computing by offloading computationally-intensive tasks to closely located fog nodes. Also, with an increasing number of vehicles under the IoV architecture, new challenges and requirements are emerging such as scalability, efficient resource usage, and secure communication. In this paper, we address the problems of load-balancing and secure communication in SDN-enabled and fog-based IoV networks. Our methodology (SaFIoV) efficiently distributes tasks in the fog-to-fog and vehicles-to-fog layers using reinforcement learning (RL) methods. Moreover, powered by Blockchain technology, our method provides secure communication. The result of our experimental study shows that SaFIoV can efficiently utilize the available resources while avoiding congestion and minimizing latency in the IoV network.
车联网(IoV)是一个分散的网络,可以实现联网车辆和车辆自组织网络(vanet)之间的数据共享。然而,由于不同的车联网应用具有不同的服务质量(QoS)要求,因此创建一个有效的解决方案来应对车联网中的大数据是具有挑战性的。雾计算通过将计算密集型任务卸载到位置较近的雾节点,解决了云计算集中数据处理的固有缺陷。此外,随着越来越多的车辆采用车联网架构,新的挑战和要求也不断出现,如可扩展性、高效资源利用和安全通信。在本文中,我们解决了在支持sdn和基于雾的IoV网络中的负载平衡和安全通信问题。我们的方法(SaFIoV)使用强化学习(RL)方法有效地将任务分配到雾到雾和车辆到雾层。此外,通过区块链技术,我们的方法提供了安全的通信。我们的实验研究结果表明,SaFIoV可以有效地利用可用资源,同时避免拥塞和最小化延迟。
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引用次数: 5
期刊
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
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