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Optimized operation scheme of flash-memory-based neural network online training with ultra-high endurance

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Journal of Semiconductors 2024年第1期45卷 33-37页

作者： Yang Feng zhaohui sun Yueran qi Xuepeng Zhan Junyu Zhang Jing Liu Masaharu Kobayashi Jixuan Wu Jiezhi chen School of Information Science and Engineering(ISE) Shandong UniversityQingdao 266200China Neumem Co. LtdHefei 230093China Key Laboratory of Microelectronic Devices and Integrated Technology Institute of Microelectronics of Chinese Academy of SciencesBeijing 100084China Institute of Industrial Science The University of TokyoTokyoJapan

With the rapid development of machine learning,the demand for high-efficient computing becomes more and more *** break the bottleneck of the traditional Von Neumann architecture,computing-in-memory(CIM)has attracted increasing attention in recent *** this work,to provide a feasible CIM solution for the large-scale neural networks(NN)requiring continuous weight updating in online training,a flash-based computing-in-memory with high endurance(10^(9) cycles)and ultrafast programming speed is *** the one hand,the proposed programming scheme of channel hot electron injection(CHEI)and hot hole injection(HHI)demonstrate high linearity,symmetric potentiation,and a depression process,which help to improve the training speed and *** the other hand,the low-damage programming scheme and memory window(MW)optimizations can suppress cell degradation effectively with improved computing *** after 109 cycles,the leakage current(I_(off))of cells remains sub-10pA,ensuring the large-scale computing ability of *** characterizations are done on read disturb to demonstrate its robust *** processing CIFAR-10 tasks,it is evident that~90%accuracy can be achieved after 109 cycles in both ResNet50 and VGG16 *** results suggest that flash-based CIM has great potential to overcome the limitations of traditional Von Neumann architectures and enable high-performance NN online training,which pave the way for further development of artificial intelligence(AI)accelerators.

关键词： NOR flash memory computing-in-memory endurance neural network online training

Four-dimensional direct detection receiver enabling Jones-space field recovery with phase and polarization diversity

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Photonics Research 2024年第3期12卷 399-410页

作者： qi WU YIXIAO ZHU XUEYANG LI HEXUN JIANG chen chenG MENGFAN FU YIKUN ZHANG QUNBI ZHUGE zhaohui LI WEISHENG HU Peng cheng Laboratory Shenzhen 518055China State Key Laboratory of Advanced Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Electronics and Information Technology and Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Sun Yat-sen UniversityGuangzhou 510006China

Data centers,the engines of the global Internet,rely on powerful high-speed optical *** optical fiber communication,classic direct detection captures only the intensity of the optical field,while the coherent detection counterpart utilizes both phase and polarization diversities at the expense of requiring a narrow-linewidth and high-stability local oscillator(LO).Herein,we propose and demonstrate a four-dimensional Jones-space optical field recovery(4-D JSFR)scheme without an *** polarization-diverse full-field receiver structure captures information encoded in the intensity and phase of both polarizations,which can be subsequently extracted *** our knowledge,our proposed receiver achieves the highest electrical spectral efficiency among existing direct detection systems and potentially provides similar electrical spectral efficiency as standard intradyne coherent detection *** fully recovered optical field extends the transmission distance beyond the limitations imposed by fiber chromatic ***,the LO-free advantage makes 4-D JSFR suitable for photonic integration,offering a spectrally efficient and cost-effective solution for massively parallel data center *** results may contribute to the ongoing developments in the theory of optical field recovery and the potential design considerations for future high-speed optical transceivers.

关键词： polarization receiver phase

Complete genome analysis of Ketogulonigenium sp. WB0104

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Chinese Science Bulletin 2006年第8期51卷 941-945页

作者： YANG Fan JIA qian XIONG zhaohui ZHANG Xiaobing WU Hongtao ZHAO Ying YANG Jian ZHU Junping DONG Jie XUE Ying sun Lilian SHEN Yan JIN qi State Key Laboratory for Molecular Virology and Genetic Engineering Beijing 100176 China North China Pharmaceutical Group Corporation Shijiazhuang 050015 China Chinese National Human Genome Center Beijing 100176 China

Ketogulonigenium sp. may convert L-sorbose into 2-keto-L-gulonic acid, the vitamin C precursor. The genome of Ketogulonigenium sp. WB0104 consists of a circular 2765030 bp chromo- some with 61.69% G+C content and two circular plasmids of 267968 and 242707 bp. The genome contains 2727 open reading frames (ORFs). The systems of replication, transcription, translation, carbohydrate and energy metabolism are intact, but the repair system is incomplete. About 640 predicted ORFs have been found to encode transporter pro- teins, which account for about one fourth of total predicted ORFs, noticeably higher than other docu- mented bacteria. This may be due to the fact that WB0104 adapts to soil circumstance.

关键词：基因分析山梨糖维生素C 染色体

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一种基于计算机取证的信息一致性方案

计算机工程 2006年第11期32卷 172-173,176页

作者：綦朝晖孙济洲郭琳琳天津大学计算机科学与技术系天津300072

计算机数据自身的脆弱性,使计算机取证信息的一致性问题成为计算机证据鉴定过程中的关键所在。该文在计算机取证的基础上,运用DSA签名机制,提出了一种证明计算机证据完整性的一致性方案。该方案能够在计算机系统运行过程中,实时、安全... 详细信息

计算机数据自身的脆弱性,使计算机取证信息的一致性问题成为计算机证据鉴定过程中的关键所在。该文在计算机取证的基础上,运用DSA签名机制,提出了一种证明计算机证据完整性的一致性方案。该方案能够在计算机系统运行过程中,实时、安全地转移所获取的取证信息,并进行证据固定,以保证其完整性。在基于某些密码学假设的前提下,证明了方案的安全性。

关键词：计算机取证信息一致性 DSA签名

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一种新的基于MPLS的路由算法

计算机工程 2005年第7期31卷 101-102,213页

作者：綦朝晖孙济洲天津大学计算机科学与技术系天津300072

首先简述了基于多协议标记交换(MPLS)流量工程的基本原理,并在此基础上提出了一种新的路由算法,实验仿真结果表明,该算法在优化网络资源分配上较传统方法具有更好的性能。

关键词： MPLS 流量工程路由算法带宽使用率

A comprehensive survey of bat sarbecoviruses across China in relation to the origins of SARS-CoV and SARS-CoV-2

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National Science Review 2023年第6期10卷 117-130页

作者： Zhiqiang Wu Yelin Han Yuyang Wang Bo Liu Lamei Zhao Junpeng Zhang Haoxiang Su Wenliang Zhao Liguo Liu Shibin Bai Jie Dong Lilian sun Yafang Zhu Siyu Zhou Yiping Song Hongtao Sui Jian Yang Jianwei Wang Shuyi Zhang zhaohui qian qi Jin NHC Key Laboratory of Systems Biology of Pathogens Institute of Pathogen Biology Chinese Academy of Medical Sciences and Peking Union Medical College Key Laboratory of Respiratory Disease Pathogenomics Chinese Academy of Medical Sciences and Peking Union Medical College College of Animal Science and Veterinary Medicine Shenyang Agricultural University

SARS-C oV and SARS-C oV-2 have been thought to originate from *** this study,we screened pharyngeal and anal swabs from 13 064 bats collected between 2016 and 2021 at 703 locations across China for sarbecoviruses,covering almost all known southern hotspots,and found 146 new bat *** analyses of all available sarbecoviruses show that there are three different lineages—L1 as SARS-CoV-related CoVs(SARSr-CoVs),L2 as SARS-CoV-2-related CoVs(SC2r-CoVs) and novel L-R(recombinants of L1 and L2)—present in Rhinolophus pusillus bats,in the mainland of *** the146 sequences,only four are ***,none belong in the L2 lineage,indicating that circulation of SC2r-C oVs in China might be very *** remaining 142 sequences belong in the L1 lineage,of which YN2020B-G shares the highest overall se quence identity with SARS-C oV(95.8 %).The observation suggests endemic circulations of SARSr-CoVs,but not SC2r-CoVs,in bats in *** analysis of the collection sites in this study,together with all published reports,indicates that SC2r-C oVs maybe mainly present in bats of Southeast Asia,including the southern border of Yunnan province,but absent in all other regions within *** contrast,SARSr-CoVs appear to have broader geographic distribution,with the highest genetic diversity and sequence identity to human sarbecoviruses along the southwest border of *** data provide the rationale for further extensive surveys in broader geographical regions within,and beyond,Southeast Asia in order to find the most recent ancestors of human sarbecoviruses.

关键词： SARS-CoV SARS-CoV-2 bats China origin tracing

Measurements of differential and angle-integrated cross sections for the 10B（n, α）7Li reaction in the neutron energy range from 1.0 eV to 2.5 MeV

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Chinese Physics C 2019年第12期43卷 47-74页

作者： Haoyu Jiang Wei Jiang Huaiyong Bai Zengqi Cui Guohui Zhang Ruirui Fan HanYi Changjun Ning Liang Zhou Jingyu Tang qi An Jie Bao Yu Bao Ping Cao Haolei chen qiping chen Yonghao chen Yukai chen Zhen chen Changqing Feng Keqing Gao Minhao Gu Changcai Han Zijie Han Guozhu He Yongcheng He Yang Hong Hanxiong Huang Weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Zhijie Jiang Hantao Jing Ling Kang Mingtao Kang Bo Li Chao Li Jiawen Li Lun Li qiang Li Xiao Li Yang Li Rong Liu Shubin Liu Xingyan Liu Guangyuan Luan qili Mu Binbin qi Jie Ren Zhizhou Ren Xichao Ruan zhaohui Song Yingpeng Song Hong sun Kang sun Xiaoyang sun Zhijia sun Zhixin Tan Hongqing Tang Xinyi Tang Binbin Tian Lijiao Wang Pengcheng Wang qi Wang Taofeng Wang zhaohui Wang Jie Wen Zhongwei Wen qingbiao Wu Xiaoguang Wu Xuan Wu Likun Xie Yiwei Yang Li Yu Tao Yu Yongji Yu Linhao Zhang qiwei Zhang Xianpeng Zhang Yuliang Zhang Zhiyong Zhang Yubin Zhao Luping Zhou Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science Center Dongguan 523803China State Key Laboratory of Particle Detection and Electronics Department of Modem Physics University of Science and Technology of ChinaHefei 230026China Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China Northwest Institute of Nuclear Technology Xi'an 710024China University of Chinese Academy of Sciences Beijing 100049China Department of Engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China School of Physics Beihang UniversityBeijing 100083China

Differential and angle-integrated cross sections for the 10B(n,α)^7 Li,10B(n,α0)^7 Li and 10B(n,α1)^7 Li^*reactions have been measured at CSNS Back-n white neutron *** enriched(90%)10B samples 5.0 cm in diameter and^85.0μg/cm^2 in thickness each with an aluminum backing were prepared,and back-to-back mounted at the sample *** charged particles were detected using the silicon-detector array of the Light-charged Particle Detector Array(LPDA)*** neutron energy En was determined by TOF(time-of-flight)method,and the valid a events were extracted from the En-Amplitude two-dimensional *** 15 silicon detectors,the differential cross sections of a-particles were measured from 19.2°to 160.8°.Fitted with the Legendre polynomial series,the(n,a)cross sections were obtained through *** absolute cross sections were normalized using the standard cross sections of the 10B(n,α)^7 Li reaction in the 0.3-0.5 MeV neutron energy *** measurement neutron energy range for the 10B(n,α)^7 Li reaction is 1.0 eV≤En<2.5 Me V(67 energy points),and that for the 10B(n,α0)^7 Li and10B(n,α1)^7 Li^*reactions is 1.0 eV≤En<1.0 MeV(59 energy points).The present results have been analyzed by the resonance reaction mechanism and the level structure of the 11B compound system,and compared with existing measurements and evaluations.

关键词： 10B(n,α)^7Li reaction cross sections LPDA CSNS Back-n white neutron source

基于线性映射场的fNIRS信号特征提取与分析

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电子与信息学报 2023年第4期45卷 1401-1411页

作者：姚宇轩孙兆辉高毓兵吴奇上海交通大学电子信息与电气工程学院上海200240 上海交通大学机械与动力工程学院上海200240

大脑功能性激活的相关研究普遍存在特征提取依赖人工经验、深层次生理学信息难以挖掘两大问题。针对这两个问题,该文通过引入变分模态分解(VMD)技术,提出自适应VMD算法。该算法考虑了脑血氧信号在不同频段下的生理意义,降低了传统VMD对... 详细信息

大脑功能性激活的相关研究普遍存在特征提取依赖人工经验、深层次生理学信息难以挖掘两大问题。针对这两个问题,该文通过引入变分模态分解(VMD)技术,提出自适应VMD算法。该算法考虑了脑血氧信号在不同频段下的生理意义,降低了传统VMD对超参数选取的依赖。实验结果表明自适应VMD算法能够精确地提取出功能性近红外光谱(fNIRS)中富有生理学意义的有效模态分量,进而提升数据预处理效果。在此基础上,基于将时间序列映射成图像并使用深度卷积神经网络进行特征学习的思路,提出线性映射场(LMF)。基于LMF,该文以较低的运算量将fNIRS序列映射成2维图像,辅以深度卷积神经网络,实现了fNIRS生理信号深层次特征的提取。实验结果证明了所提出LMF的优势。最后,该文对提出方法的有效性进行了讨论与分析,说明了不同于循环神经网络仅能“顺序”地感知时间序列,卷积神经网络对时间序列的“跳跃”感知是其取得优异效果的关键。

关键词：脑功能性激活功能性近红外光谱特征提取变分模态分解生理信息

Neutron capture cross section of ^(169)Tm measured at the CSNS Back-n facility in the energy region from 30 to 300 keV

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Chinese Physics C 2022年第4期46卷 92-104页

作者： Jie Ren Xichao Ruan Wei Jiang Jie Bao Jincheng Wang qiwei Zhang Guangyuan Luan Hanxiong Huang Yangbo Nie Zhigang Ge qi An Huaiyong Bai Yu Bao Ping Cao Haolei chen qiping chen Yonghao chen Yukai chen Zhen chen Zengqi Cui Ruirui Fan Changqing Feng Keqing Gao Minhao Gu Changcai Han Zijie Han Guozhu He Yongcheng He Yang Hong Weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Haoyu Jiang Zhijie Jiang Hantao Jing Ling Kang Mingtao Kang Bo Li Chao Li Jiawen Li Lun Li qiang Li Xiao Li Yang Li Rong Liu Shubin Liu Xingyan Liu qili Mu Changjun Ning Binbin qi Zhizhou Ren Yingpeng Song zhaohui Song Hong sun Kang sun Xiaoyang sun Zhijia sun Zhixin Tan Hongqing Tang Jingyu Tang Xinyi Tang Binbin Tian Lijiao Wang Pengcheng Wang qi Wang Taofeng Wang zhaohui Wang Jie Wen Zhongwei Wen qingbiao Wu Xiaoguang Wu Xuan Wu Likun Xie Yiwei Yang Han Yi Li Yu Tao Yu Yongji Yu Guohui Zhang Linhao Zhang Xianpeng Zhang Yuliang Zhang Zhiyong Zhang Yubin Zhao Luping Zhou Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science Center Dongguan 523803China State Key Laboratory of Particle Detection and Electronics Department of Modern Physics University of Science and Technology of ChinaHefei 230026China State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China Northwest Institute of Nuclear Technology Xi'an 710024China University of Chinese Academy of Sciences Beijing 100049China Department of Engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China School of Physics Beihang UniversityBeijing 100083China

The capture cross sections of the ^(169)Tm(n,γ)reaction were measured at the back streaming white neutron beam line(Back-n)of the China Spallation Neutron Source(CSNS)using four C_(6)D_(6) liquid scintillation *** background subtraction,normalization,and correction were carefully considered in the data analysis to obtain accurate cross *** the resonance at 3.9 eV,the R-matrix code SAMMY was used to determine the resonance parameters with the internal normalization *** average capture cross sections of ^(169)Tm for energy between 30 and 300 keV were extracted relative to the ^(197)Au(n,γ)*** measured cross sections of the ^(169)Tm(n,γ)reaction were reported in logarithmically equidistant energy bins with 20 bins per energy decade with a total uncertainty of 5.4%-7.0% in this study and described in terms of average resonance parameters using a Hauser-Feshbach calculation with *** point-wise cross sections and the average resonance parameters showed fair agreement with the evaluated values of the ENDF/B-Ⅷ.0 library in the energy region studied.

关键词： ^(169)Tm(n,γ)^(170)Tm reaction capture cross section PHWT CSNS Back-n white neutron source