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Denoising of hyperspectral imagery by cubic smoothing spline in the wavelet domain

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High Technology Letters 2014年第1期20卷 54-62页

作者：陈绍林 Hu xiyuan peng Silong zhou Zhiqiang National ASIC Design and Engineering Center Institute of AutomationChinese Academy of Sciences

The acquired hyperspectral images （HSIs） are inherently attected by noise wlm Dano-varylng level, which cannot be removed easily by current approaches. In this study, a new denoising method is proposed for removing such kind of noise by smoothing spectral signals in the transformed multi- scale domain. Specifically, the proposed method includes three procedures： 1 ） applying a discrete wavelet transform （DWT） to each band; 2） performing cubic spline smoothing on each noisy coeffi- cient vector along the spectral axis; 3 ） reconstructing each band by an inverse DWT. In order to adapt to the band-varying noise statistics of HSIs, the noise covariance is estimated to control the smoothing degree at different spectra｜ positions. Generalized cross validation （GCV） is employed to choose the smoothing parameter during the optimization. The experimental results on simulated and real HSIs demonstrate that the proposed method can be well adapted to band-varying noise statistics of noisy HSIs and also can well preserve the spectral and spatial features.

关键词： denoising hyperspectral imagery cubic spline smoothing wavelet transform spectral smoothness

Fully Pipelined Soft Vector Processor as a CPU Accelerator

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Chinese Journal of Electronics 2017年第6期26卷 1198-1205页

作者： PANG Yeyong WANG Shaojun peng Yu peng xiyuan Department of Automatic Test and Control Harbin Institute of Technology

FPGA based soft vector processing accelerators are used frequently to perform highly parallel data processing tasks. Since they are not able to implement complex control manipulations using software, most FPGA systems now incorporate either a soft processor or hard processor. A FPGA based AXI bus compatible vector accelerator architecture is proposed which utilises fully pipelined and heterogeneous ALU for performance, and microcoding is employed for reusability. The design is tested with several design examples in four different lane *** with Central processing unit(CPU), Digital signal processor(DSP), Altera C2H tool and Open CL SDK implementations, the vector processor improves on execution time and energy consumption by factors of up to 6.6 and 6.4 respectively.

关键词： FPGA Vector processor Microprocessor Accelerator

A Review of FPGA-Based Custom Computing Architecture for Convolutional Neural Network Inference

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Chinese Journal of Electronics 2021年第1期30卷 1-17页

作者： peng xiyuan YU Jinxiang YAO Bowen LIU Liansheng peng Yu School of Electronics and Information Engineering Harbin Institute of Technology

Convolutional neural network(CNN)has been widely adopted in many tasks. Its inference process is usually applied on edge devices where the computing resources and power consumption are *** present, the performance of general processors cannot meet the requirement for CNN models with high computation complexity and large number of parameters. Field-programmable gate array(FPGA)-based custom computing architecture is a promising solution to further enhance the CNN inference *** software/hardware co-design can effectively reduce the computing overhead, and improve the inference performance while ensuring accuracy. In this paper, the mainstream methods of CNN structure design, hardwareoriented model compression and FPGA-based custom architecture design are summarized, and the improvement of CNN inference performance is demonstrated through an example. Challenges and possible research directions in the future are concluded to foster research efforts in this domain.

关键词： inference mechanisms computing resources hardware-oriented model compression CNN structure design computing overhead convolutional neural nets electronic engineering computing field-programmable gate array-based custom computing architecture computation complexity FPGA-based custom computing architecture design computational complexity convolutional neural network inference CNN inference performance power consumption field programmable gate arrays

CNQ: Compressor-Based Non-uniform Quantization of Deep Neural Networks

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Chinese Journal of Electronics 2020年第6期29卷 1126-1133页

作者： YUAN Yong CHEN Chen HU xiyuan peng Silong Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences School of Computer Science and Engineering Nanjing University of Science and Technology

Deep neural networks(DNNs) have achieved state-of-the-art performance in a number of domains but suffer intensive *** quantization can effectively reduce computation and memory costs without changing network structure,facilitating the deployment of DNNs on mobile *** the existing methods can obtain good performance,low-bit quantization without time-consuming training or access to the full dataset is still a challenging *** this paper,we develop a novel method named Compressorbased non-uniform quantization(CNQ) method to achieve non-uniform quantization of DNNs with few unlabeled ***,we present a compressor-based fast nonuniform quantization method,which can accomplish nonuniform quantization without ***,we propose to align the feature maps of the quantization model with the pre-trained model for accuracy *** the property difference between different activation channels,we utilize the weighted-entropy perchannel to optimize the alignment *** the experiments,we evaluate the proposed method on image classification and object *** results outperform the existing post-training quantization methods,which demonstrate the effectiveness of the proposed method.

关键词： entropy image classification learning (artificial intelligence) neural nets object detection optimisation quantisation (signal) network structure DNN low-bit quantization time-consuming training compressor-based fast nonuniform quantization method quantization model post-training quantization methods deep neural networks network quantization compressor-based nonuniform quantization CNQ Non-uniform quantization Knowledge distillation Unlabeled samples Network compression

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拟线性摩擦阻尼器性能试验与有限元分析

建筑结构学报 2010年第6期31卷 188-194页

作者：彭凌云周锡元北京工业大学工程抗震与结构诊治北京市重点实验室北京100124 中国建筑科学研究院北京100013

提出一种拟线性摩擦阻尼器,其构造部件主要包括套筒、滑动轴和摩擦环。滑动轴与摩擦环同轴连接为一个整体,套筒中部的内径稍大于其他部位,在内壁形成很浅的凹槽,摩擦环装配在此凹槽内。通过合理设计,使得初始状态时摩擦环与套筒内壁保... 详细信息

提出一种拟线性摩擦阻尼器,其构造部件主要包括套筒、滑动轴和摩擦环。滑动轴与摩擦环同轴连接为一个整体,套筒中部的内径稍大于其他部位,在内壁形成很浅的凹槽,摩擦环装配在此凹槽内。通过合理设计,使得初始状态时摩擦环与套筒内壁保持间隙配合,二者接触面上无接触应力;而当滑动轴相对套筒左右移动时,摩擦环与套筒内壁形成过盈配合,在接触面上产生摩擦应力,偏离初始位置的移动幅度越大,接触面产生的摩擦阻力也越大,使该阻尼器提供近似线性滞回阻尼,即阻尼力的大小与位移幅值近似成正比,阻尼力的方向与速度相同。有限元数值模拟和试验研究结果表明:该阻尼器能够实现位移相关的线性滞回阻尼的基本特征,基于弹性力学给出的近似计算公式能够反映试验得到阻尼器滞回特性,可以用于阻尼器的初步设计。

关键词：摩擦阻尼器性能试验有限元分析拟线性滞回阻尼

Effect of wastewater COD/N ratio on aerobic nitrifying sludge granulation and microbial population shift

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Journal of Environmental Sciences 2012年第2期24卷 234-241页

作者： Lei Wu Chengyao peng Yongzhen peng lingyun Li Shuying Wang Yong Ma Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering Beijing University of Technology Beijing 100124 China

The effect of COD/N ratio on the granulation process and microbial population succession was *** identical sequencing batch reactors,R1,R2,R3 and R4,were operated with various initial COD/N ratios ranging from 0/200 to 800/200（m/m）.Ethanol was fed as the source of *** granules were successfully cultivated in R2 and R3,operating with the COD/N ratio of 200/200 and 400/200,*** electron microscope observations indicated that short rod-shaped and spherical bacteria were dominant in R2,while granules produced in R3 were surrounded with a large amount of filamentous *** average specific nitritation rate in R2 and R3 were 0.019 and 0.008 mg N/（mg ***）,*** in situ hybridization results demonstrated that nitrifying bacteria population was enriched remarkably in *** indicated that nitrification ability and nitrifying bacteria population were enriched remarkably at low COD/N ***,no granules were formed in R1 and R4 which might attribute to either limited or excessive extracellular polymeric substances *** study contributed to a better understanding of the role of COD/N ratio in nitrifying sludge granulation.

关键词： aerobic granules COD/N ratio sequencing batch reactor nitrification performance microbial population shift

RESEARCH ON THE PACKING ALGORITHM FOR ANTI-SEU OF FPGA BASED ON TRIPLE MODULAR REDUNDANCY AND THE NUMBERS OF FAN-OUTS OF THE NET

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Journal of Electronics(China) 2014年第4期31卷 284-289页

作者： Cui Xiuhai Yang Haigang peng Yu peng xiyuan Automatic Test and Control Institute Harbin Institute of Technology Institute of Electronics Chinese Academy of Sciences

Static Random Access Memory(SRAM) based Field Programmable Gate Array(FPGA) is widely applied in the field of aerospace, whose anti-SEU(Single Event Upset) capability becomes more and more important. To improve anti-FPGA SEU capability, the registers of the circuit netlist are tripled and divided into three categories in this study. By the packing algorithm, the registers of triple modular redundancy are loaded into different configurable logic block. At the same time, the packing algorithm considers the effect of large fan-out nets. The experimental results show that the algorithm successfully realize the packing of the register of Triple Modular Redundancy(TMR). Comparing with Timing Versatile PACKing(TVPACK), the algorithm in this study is able to obtain a 11% reduction of the number of the nets in critical path, and a 12% reduction of the time delay in critical path on average when TMR is not considered. Especially, some critical path delay of circuit can be improved about 33%.

关键词： Field Programmable Gate Array (FPGA) Triple Modular Redundancy (TMR) Packing algorithm Fan-outs of the net Critical path delayCLC number:TN473

Model updating for real time dynamic substructures based on UKF algorithm

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Earthquake Engineering and Engineering Vibration 2020年第2期19卷 413-421页

作者： Su Tingli Tang Zhenyun peng lingyun Bai Yuting Jin Xuebo Kong Jianlei School of Computer Information and Engineering Beijing Technology and Business UniversityBeijing 100048China The Key Laboratory of Urban Security and Disaster Engineering Ministry of EducationBeijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business UniversityBeijing 100048China China Light Industry Key Laboratory of Industrial Internet and Big Data Beijing Technology and Business UniversityBeijing 100048China

Combining the advantages of numerical simulation with experimental testing,real-time dynamic substructure(RTDS)testing provides a new experimental method for the investigation of engineered ***,not all unmodeled parts can be physically tested,as testing is often limited by the capacity of the test *** updating is a good option to improve the modeling accuracy for numerical substructures in *** this study,a model updating method is introduced,which has great performance in describing this *** order to determine the optimal parameters in this model,an Unscented Kalman Filter(UKF)-based algorithm was applied to extract the knowledge contained in the sensors *** the parameters that need to be identified are listed as the extended state variables,and the identification was achieved via the step-by-step state prediction and state update *** of the proposed method was verified through a group of experimental data,and results showed good ***,the proposed method was compared with the Extended Kalman Filter(EKF)-based method,and better accuracy was easily *** proposed parameter identification method has great applicability for structural objects with nonlinear behaviors and could be extended to research in other engineering fields.

关键词： dynamic substructure complex nonlinear model nonlinear estimation adaptive updating civil infrastructures

3D Lamellar-Structured Graphene Aerogels for Thermal Interface Composites with High Through-Plane Thermal Conductivity and Fracture Toughness

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Nano-Micro Letters 2021年第2期13卷 13-27页

作者： pengfei Liu Xiaofeng Li peng Min xiyuan Chang Chao Shu Yun Ding Zhong-Zhen Yu Beijing Key Laboratory of Advanced Functional Polymer Composites Beijing University of Chemical TechnologyBeijing 100029People’s Republic of China State Key Laboratory of Organic-Inorganic Composites College of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029People’s Republic of China Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029People’s Republic of China

Although thermally conductive graphene sheets are efficient in enhancing in-plane thermal conductivities of polymers,the resulting nanocomposites usually exhibit low through-plane thermal conductivities,limiting their application as thermal interface ***,lamellarstructured polyamic acid salt/graphene oxide(PAAS/GO)hybrid aerogels are constructed by bidirectional freezing of PAAS/GO suspension followed by ***,PAAS monomers are polymerized to polyimide(PI),while GO is converted to thermally reduced graphene oxide(RGO)during thermal annealing at 300℃.Final graphitization at 2800℃ converts PI to graphitized carbon with the inductive effect of RGO,and simultaneously,RGO is thermally reduced and healed to high-quality ***,lamellar-structured graphene aerogels with superior through-plane thermal conduction capacity are fabricated for the first time,and its superior through-plane thermal conduction capacity results from its vertically aligned and closely stacked high-quality graphene *** vacuum-assisted impregnation with epoxy,the resultant epoxy composite with 2.30 vol% of graphene exhibits an outstanding through-plane thermal conductivity of as high as 20.0 W m^−1 K^−1,100 times of that of epoxy,with a record-high specific thermal conductivity enhancement of 4310%.Furthermore,the lamellar-structured graphene aerogel endows epoxy with a high fracture toughness,~1.71 times of that of epoxy.

关键词： Anisotropic aerogels Graphene Thermal conductivity Epoxy composites Fracture toughness