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| 1 | High-performance polarization management devices based on thin-film lithium niobate显示文摘High-speed polarization management is highly desirable for many applications,such as remote sensing,telecommunication,and medical diagnosis.However,most of the approaches for polarization management rely on bulky optical components that are slow to respond,cumbersome to use,and sometimes with high drive voltages.Here,we overcome these limitations by harnessing photonic integrated circuits based on thin-film lithium niobate platform.We successfully realize a portfolio of thin-film lithium niobate devices for essential polarization management functionalities,including arbitrary polarization generation,fast polarization measurement,polarization scrambling,and automatic polarization control.The present devices feature ultra-fast control speeds,low drive voltages,low optical losses and compact footprints.Using these devices,we achieve high fidelity polarization generation with a polarization extinction ratio up to 41.9 dB and fast polarization scrambling with a scrambling rate up to 65 Mrad s−1,both of which are best results in integrated optics.We also demonstrate the endless polarization state tracking operation in our devices.The demonstrated devices unlock a drastically new level of performance and scales in polarization management devices,leading to a paradigm shift in polarization management. | Zhongjin Lin Yanmei Lin Hao Li Mengyue Xu Mingbo He Wei Ke Heyun Tan Ya Han Zhaohui Li Dawei Wang X.Steve Yao Songnian Fu Siyuan Yu Xinlun Cai | 2022 | Light(Science & Applications)2022，11，5： | 3 |
| 2 | Coordination behavior between zinc salts and L-α-methionine显示文摘The solubility properties of ZnCl\-2/ZnAc\-2/ZnSO\-4MetH\-2O systems at 25℃ in the whole cocentration range have been investigated by phase equilibrium method. The results indicate that ZnAc\-2 and ZnSO\-4 systems are both simple systems, which do not exist any compound; there are 2 complexes formed in ZnCl\-2 system: Zn(Met)Cl\-2 and Zn(Met)\-2Cl\-2·2H\-2O. Under the direction of phase equilibrium result, 2 solid complexes have been prepared in water and characterized by chemical analysis, IR, Xray diffraction. Their combustion energies have also been determined by means of a RBCtype1 rotatingbomb calorimeter, and their standard enthalpies of formation, Δ f, coor(s)H O-, have been calculated which are (-828.32±3.00) kJ·mol -1 and (-1 117.08±6.15) kJ·mol -1, respectively. | Shengli Gao Jianrui Liu Mian Ji Xuwu Yang Fengxing Zhang Zhongjin Li | 1998 | Chinese Science Bulletin1998，43，18： | 1 |
| 3 | Synthesis, charac- terization and adsorption capacity of crosslinked starch mi- crospheres with N,N'-methylene-bis-acrylamide显示文摘 | Xinfa Zhao Zhongjin Li Lei Wang | 2008 | Journal of applied polymer science2008，109，4： | 1 |
| 4 | Early-age hydration of fresh concrete monitored by non-contact electrical resistivity measurement显示文摘 | Xiao Lianzhen Li Zhongjin | 2008 | Cement and Concrete Research2008，38，3： | 1 |
| 5 | M2cloud: Software defined multi site data center network control framework for multi-tenant 显示文摘 | Liu Zhongjin Li Yong Su Li | 2013 | ACM SIGCOMM Computer Communication Review2013，43，4： | 1 |
| 6 | Cement - based 0 - 3 piezoelectric composites 显示文摘 | Li Zhongjin Zhang Dong Wu Keru | 2002 | Journal of American Ceramic Society2002，85，2： | 1 |
| 7 | Synthesis,char-acterization and adsorption capacity of crosslinked starchmicrospheres with N,N’-methylene-bis-acrylamide显示文摘 | Zhao Xinfa Li Zhongjin Wang Lei | 2008 | Journal of Applied Polymer Science2008，109，4： | 1 |
| 8 | FPGA Optimized Accelerator of DCNN with Fast Data Readout and Multiplier Sharing Strategy显示文摘With the continuous development of deep learning,Deep Convolutional Neural Network(DCNN)has attracted wide attention in the industry due to its high accuracy in image classification.Compared with other DCNN hard-ware deployment platforms,Field Programmable Gate Array(FPGA)has the advantages of being programmable,low power consumption,parallelism,and low cost.However,the enormous amount of calculation of DCNN and the limited logic capacity of FPGA restrict the energy efficiency of the DCNN accelerator.The traditional sequential sliding window method can improve the throughput of the DCNN accelerator by data multiplexing,but this method’s data multiplexing rate is low because it repeatedly reads the data between rows.This paper proposes a fast data readout strategy via the circular sliding window data reading method,it can improve the multiplexing rate of data between rows by optimizing the memory access order of input data.In addition,the multiplication bit width of the DCNN accelerator is much smaller than that of the Digital Signal Processing(DSP)on the FPGA,which means that there will be a waste of resources if a multiplication uses a single DSP.A multiplier sharing strategy is proposed,the multiplier of the accelerator is customized so that a single DSP block can complete multiple groups of 4,6,and 8-bit signed multiplication in parallel.Finally,based on two strategies of appeal,an FPGA optimized accelerator is proposed.The accelerator is customized by Verilog language and deployed on Xilinx VCU118.When the accelerator recognizes the CIRFAR-10 dataset,its energy efficiency is 39.98 GOPS/W,which provides 1.73×speedup energy efficiency over previous DCNN FPGA accelerators.When the accelerator recognizes the IMAGENET dataset,its energy efficiency is 41.12 GOPS/W,which shows 1.28×−3.14×energy efficiency compared with others. | Tuo Ma Zhiwei Li Qingjiang Li Haijun Liu Zhongjin Zhao Yinan Wang | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
| 9 | Build Evidence Chain Relational Model Based on Chinese Judgment Document显示文摘The reasoning of judgment documents is the touchstone of justice. Attaching importance to the reasoning of judgment documents is essentially the embodiment of judiciary civilization. In order to promote the reform of judgment documents reasoning and improve the level of it, the technology of automated judgment documents reasoning evaluation has to be studied on. How to build evidence chain relational model is the basis and key to this technology.An approach is proposed to build evidence chain relational model based on Chinese judgment documents. Using automated text preprocessing for Chinese judgment documents creates semi-structured XML documents and extracts evidence set and fact set. The method of key elements extraction is used to obtain the keywords of evidence and facts. Calculating the degree of association can work out the connection points of evidence chain relational model. Tabular display and graphical display of evidence chain relational model can be realized. | Siyuan Kong Yemao Zhou1,2 Jidong Ge Zhongjin Li Chuanyi Li Yi Feng Xiaoyu Zhou Bin Luo | 2017 | 国际计算机前沿大会会议论文集2017，，2： | 0 |
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