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Journal of Computer Science & Technology 2020年第2期35卷 475-489页

作者： Shu-Quan Wang Lei Wang Yu Deng Zhi-Jie Yang Sha-Sha Guo Zi-Yang Kang Yu-Feng Guo Wei-Xia Xu College of Computer Science and Technology National University of Defense TechnologyChangsha 430041China

Neuromorphic computing is considered to be the future of machine learning,and it provides a new way of cognitive *** by the excellent performance of spiking neural networks(SNNs)on the fields of low-power consumption and parallel computing,many groups tried to simulate the SNN with the hardware ***,the efficiency of training SNNs with neuromorphic algorithms is not ideal *** this,Michael et *** a method which can solve the problem with the help of DNN(deep neural network).With this method,we can easily convert a well-trained DNN into an SCNN(spiking convolutional neural network).So far,there is a little of work focusing on the hardware accelerating of *** motivation of this paper is to design an SNN processor to accelerate SNN inference for SNNs obtained by this DNN-to-SNN *** propose SIES(Spiking Neural Network Inference Engine for SCNN Accelerating).It uses a systolic array to accomplish the task of membrane potential increments *** integrates an optional hardware module of max-pooling to reduce additional data moving between the host and the *** also design a hardware data setup mechanism for the convolutional layer on the SIES with which we can minimize the time of input spikes *** implement the SIES on FPGA *** number of neurons it supports is up to 4000 while the synapses are *** SIES can run with the working frequency of 200 MHz,and its peak performance is 1.5625 TOPS.

关键词： spiking neural network(SNN) field-programmable gate array(FPGA) neuromorphic systolic array spiking convolutional neural network(SCNN) integrete and fire(I&F)model hardware accelerator

Resonance Characteristics of Piezoelectric Resonator Based on Digital Driving Circuit of field-programmable Gate Array

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Journal of Shanghai Jiaotong university(Science) 2019年第1期24卷 1-6页

作者： WANG Zhenyu WU Xiaosheng SHU Shengzhu National Key Laboratory of Science and Technology on Micro/Nano Fabrication Shanghai Key Laboratory of Navigation and Location Based ServicesDepartment of Micro/Nano ElectronicsShanghai Jiao Tong University

Piezoelectric resonators are widely used in frequency reference devices, mass sensors, resonant sensors(such as gyros and accelerometers), etc. Piezoelectric resonators usually work in a special resonant mode. Obtaining working resonant mode with high quality is key to improve the performance of piezoelectric resonators. In this paper, the resonance characteristics of a rectangular lead zirconium titanate(PZT) piezoelectric resonator are studied. On the basis of the field-programmable gate array(FPGA) embedded system, direct digital synthesizer(DDS) and automatic gain controller(AGC) are used to generate the driving signals with precisely adjustable frequency and amplitude. The driving signals are used to excite the piezoelectric resonator to the working vibration mode. The influence of the connection of driving electrodes and voltage amplitude on the vibration of the resonator is studied. The quality factor and vibration linearity of the resonator are studied with various driving methods mentioned in this paper. The resonator reaches resonant mode at 330 kHz by different driving *** relationship between resonant amplitude and driving signal amplitude is linear. The quality factor reaches over 150 by different driving methods. The results provide a theoretical reference for the efficient excitation of the piezoelectric resonator.

关键词： piezoelectric resonators resonant mode quality factor linearity field-programmable gate array(FPGA)

Hardware Implementation of Spiking Neural Networks on FPGA

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Tsinghua Science and Technology 2020年第4期25卷 479-486页

作者： Jianhui Han Zhaolin Li Weimin Zheng Youhui Zhang the Institute of Microelectronics Tsinghua UniversityBeijing 100084China the Research Institute of Information Technology Tsinghua UniversityBeijing 100084China the Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China

Inspired by real biological neural models,Spiking Neural Networks(SNNs)process information with discrete spikes and show great potential for building low-power neural network *** paper proposes a hardware implementation of SNN based on field-programmable Gate Arrays(FPGA).It features a hybrid updating algorithm,which combines the advantages of existing algorithms to simplify hardware design and improve *** proposed design supports up to 16384 neurons and 16.8 million synapses but requires minimal hardware resources and archieves a very low power consumption of 0.477 W.A test platform is built based on the proposed design using a Xilinx FPGA evaluation board,upon which we deploy a classification task on the MNIST *** evaluation results show an accuracy of 97.06%and a frame rate of 161 frames per second.

关键词： Spiking Neural Network(SNN) field-programmable Gate Arrays(FPGA) digital circuit low-power MNIST

Online volume rendering of incrementally accumulated LSCEM images for superficial oral cancer detection

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World Journal of Clinical Oncology 2011年第4期2卷 179-186页

作者： Wei Ming Chiew Feng Lin Kemao Qian Hock Soon Seah School of Computer Engineering Nanyang Technological UniversitySingapore 639798Singapore

Laser scanning confocal endomicroscope(LSCEM)has emerged as an imaging modality which provides noninvasive,in vivo imaging of biological tissue on a microscopic *** visualizations for LSCEM datasets captured by current imaging systems require these datasets to be fully acquired and brought to a separate rendering *** extend the features and capabilities of this modality,we propose a system which is capable of performing realtime visualization of LSCEM *** field-programmable gate arrays,our system performs three tasks in parallel:(1)automated control of dataset acquisition;(2)imaging-rendering system synchronization;and(3)realtime volume rendering of dynamic *** fusion of LSCEM imaging and volume rendering processes,acquired datasets can be visualized in realtime to provide an immediate perception of the image quality and biological conditions of the subject,further assisting in realtime cancer ***,the imaging procedure can be improved for more accurate diagnosis and reduce the need for repeating the process due to unsatisfactory datasets.

关键词： Confocal endomicroscope field-programmable gate arrays Incrementally accumulated volume rendering Realtime Online cancer detection

FPGA implementation of fractal patterns classifier for multiple cardiac arrhythmias detection

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Journal of Biomedical Science and Engineering 2012年第3期5卷 120-132页

作者： Chia-Hung Lin Guo-Wei Lin Department of Electrical Engineering Kao-Yuan University Kaohsiung City Taiwan Department of Electrical Engineering Kao-Yuan University Kaohsiung City Taiwan Email: eechl53

This paper proposes the fractal patterns classifier for multiple cardiac arrhythmias on field-programmable gate array (FPGA) device. Fractal dimension transformation (FDT) is employed to adjoin the fractal features of QRS-complex, including the supraventricular ectopic beat, bundle branch ectopic beat, and ventricular ectopic beat. FDT with fractal dimension (FD) is addressed for constructing various symptomatic patterns, which can produce family functions and enhance features, making clear differences between normal and unhealthy subjects. The probabilistic neural network (PNN) is proposed for recognizing multiple cardiac arrhythmias. Numerical experiments verify the efficiency and higher accuracy with the software simulation in order to formulate the mathematical model logical circuits. FDT results in data self-similarity for the same arrhythmia category, the number of dataset requirement and PNN architecture can be reduced. Its simplified model can be easily embedded in the FPGA chip. The prototype classifier is tested using the MIT-BIH arrhythmia database, and the tests reveal its practicality for monitoring ECG signals.

关键词： field-programmable Gate Array (FPGA) Fractal Dimension Transformation (FDT) Fractal Dimension (FD) Probabilistic Neural Network (PNN)

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便携式可在线编程雷达信号模拟器

南京大学学报（自然科学版） 2010年第4期46卷 359-365页

作者：张騄张兴敢柏业超张尉南京大学电子科学与工程系南京210093 毫米波国家重点实验室南京210096 空军雷达学院武汉430019

随着雷达接收机系统的日益复杂,雷达信号模拟器日益成为现场测试中的必备工具.根据测试雷达的型号不同,或调试、测试的内容不同,对雷达信号模拟器提供的模拟信号也有着完全不同的要求.为了满足现场测试中,对具备多种信号输出能力的信号... 详细信息

随着雷达接收机系统的日益复杂,雷达信号模拟器日益成为现场测试中的必备工具.根据测试雷达的型号不同,或调试、测试的内容不同,对雷达信号模拟器提供的模拟信号也有着完全不同的要求.为了满足现场测试中,对具备多种信号输出能力的信号模拟器的需求,本文研究设计了一套可在线编程的便携式雷达信号模拟器.该模拟器可以按照测试需求,输出典型的杂波、目标和噪声调制信号,也可以通过universal serial bus(USB)接口与personal computer(PC)机相连,通过实时在线编程,产生测试所需的信号,提高了雷达信号模拟器的实用范围,同时也提升了雷达信号模拟器的便携性.本系统通过计算机软件系统生成雷达信号仿真数据,通过USB总线交互模块实现数据在模拟器和计算机系统之间的交互,运用field-programmable gate array(FPGA)控制模块控制数据的下载,存储和输出,利用Flash实现离电信号储存,采用四片高速RAM进行信号实时输出.本文全面阐述了雷达信号模拟系统的工作原理,介绍了该系统设计方案,着重阐述了模块间的硬件接口及控制模块.该系统体积小,便于携带,改变模拟信号类型方便,具有较好的灵活性和通用性.

关键词： field-programmable gate array(FPGA) universal serial bus(USB) 雷达信号模拟

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基于机器视觉的坯布疵点实时自动检测平台

东华大学学报（自然科学版） 2014年第1期40卷 11-16页

作者：李冠志万贤福汪军李立轻陈霞东华大学纺织面料技术教育部重点实验室上海201620 东华大学纺织学院上海201620

为了克服人工检测坯布疵点过程中存在的低效率、高误检率、高漏检率等问题,设计并实现了一款能兼顾实时性和准确性要求的坯布自动检测平台.该平台包括织物传动系统、光源和成像系统、图像采集与处理系统、人机交互系统4个组成部分.在详... 详细信息

为了克服人工检测坯布疵点过程中存在的低效率、高误检率、高漏检率等问题,设计并实现了一款能兼顾实时性和准确性要求的坯布自动检测平台.该平台包括织物传动系统、光源和成像系统、图像采集与处理系统、人机交互系统4个组成部分.在详细阐述了图像采集与处理系统的设计之后,结合AR谱算法对坯布自动检测平台进行了相关调试和试验验证,结果表明该平台已实现了预期的研发要求.

关键词：机器视觉自动验布疵点检测数字信号处理(DSP) 现场可编程门阵列(FPGA) digital signal processing(DSP) field-programmable gate array(FPGA)

BD2/GPS高精度同步时钟装置的设计与应用

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吉林大学学报（信息科学版） 2014年第3期32卷 262-266页

作者：周大勇刘鹏刘树昌孙风雷刘冲李超长春理工大学电子信息工程学院长春130022 长春理工大学空地激光通信技术国防重点学科实验室长春130022

针对CCD(Charge Coupled Device)相机在探测脉冲激光光斑过程中曝光时刻与脉冲激光同步的问题,提出一种利用超前预测方式同步触发CCD相机抓拍光斑图像的高精度时钟源设计方案。该装置主要采用北斗2导航系统(BD2:BeiDou2 navigation sate... 详细信息

针对CCD(Charge Coupled Device)相机在探测脉冲激光光斑过程中曝光时刻与脉冲激光同步的问题,提出一种利用超前预测方式同步触发CCD相机抓拍光斑图像的高精度时钟源设计方案。该装置主要采用北斗2导航系统(BD2:BeiDou2 navigation satellite system)/全球定位系统(GPS:Global Positioning System),双模接收单元提供的协调世界时(UTC:Universal Time Coordinated)时间以及高精度秒脉冲(PPS:One-Pulse Per Second)时间基准作为同步时钟装置的基准源,并结合现场可编程门阵列(FPGA:field-programmable Gate Array)高速时序计算与微控制单元接口技术,保证CCD相机同步抓拍时间,从而完成高精度的同步触发。实验表明,该装置可以提供微秒级时间同步精度和标准授时信息,有效地缩短了CCD相机曝光时间,得到完整清晰的高信噪比脉冲激光光斑图像。

关键词：时间同步精度北斗2导航系统秒脉冲现场可编程门阵列 pulse per second(PPS) field-programmable gate array(FPGA)