Deep learning algorithms have been widely used in computer vision,natural language processing and other fields.However,due to the ever-increasing scale of the deep learning model,the requirements for storage and compu...Deep learning algorithms have been widely used in computer vision,natural language processing and other fields.However,due to the ever-increasing scale of the deep learning model,the requirements for storage and computing performance are getting higher and higher,and the processors based on the von Neumann architecture have gradually exposed significant shortcomings such as consumption and long latency.In order to alleviate this problem,large-scale processing systems are shifting from a traditional computing-centric model to a data-centric model.A near-memory computing array architecture based on the shared buffer is proposed in this paper to improve system performance,which supports instructions with the characteristics of store-calculation integration,reducing the data movement between the processor and main memory.Through data reuse,the processing speed of the algorithm is further improved.The proposed architecture is verified and tested through the parallel realization of the convolutional neural network(CNN)algorithm.The experimental results show that at the frequency of 110 MHz,the calculation speed of a single convolution operation is increased by 66.64%on average compared with the CNN architecture that performs parallel calculations on field programmable gate array(FPGA).The processing speed of the whole convolution layer is improved by 8.81%compared with the reconfigurable array processor that does not support near-memory computing.展开更多
目的了解中国儿童脑膜炎球菌疫苗(Meningococcal vaccine,MenV)接种率。方法采用多阶段整群随机抽样方法在中国120个国家级监测县选择1-13岁(2008-2019年出生)儿童开展MenV接种问卷调查,分析1-13岁儿童第1剂次和第2剂次、4-13岁儿童第3...目的了解中国儿童脑膜炎球菌疫苗(Meningococcal vaccine,MenV)接种率。方法采用多阶段整群随机抽样方法在中国120个国家级监测县选择1-13岁(2008-2019年出生)儿童开展MenV接种问卷调查,分析1-13岁儿童第1剂次和第2剂次、4-13岁儿童第3剂次、7-13岁儿童第4剂次MenV(MenV1、MenV2、MenV3和MenV4)接种率和非免疫规划(Expanded Program on Immunization,EPI)疫苗对EPI疫苗替代率。结果调查儿童MenV1、MenV2、MenV3、MenV4接种率分别为95.66%(18892/19749)、92.79%(18326/19749)、89.41%(12087/13518)、76.98%(6148/7987)。在MenV1、MenV2、MenV3、MenV4接种剂次数中,非EPI疫苗对EPI疫苗替代率分别为7.00%、8.08%、13.49%、12.51%;总替代率为9.60%,从2008年出生儿童的7.17%上升至2019年出生儿童的15.33%(趋势Z=13.20,P<0.001)。结论调查儿童MenV1和MenV2接种率较高而MenV3和MenV4接种率偏低,非EPI疫苗对EPI疫苗替代率呈上升趋势。需加强适龄儿童MenV常规免疫以及入学预防接种证查验和疫苗补种工作。展开更多
The core-shell Li4Ti5O（12） @ polyaniline composites（LP） have been synthesized via an in situ synthesis with different mole ratios（25：1, 50：1 and 100：1, aniline：LTO）. As an anode material of lithium-ion batte...The core-shell Li4Ti5O（12） @ polyaniline composites（LP） have been synthesized via an in situ synthesis with different mole ratios（25：1, 50：1 and 100：1, aniline：LTO）. As an anode material of lithium-ion batteries,the LP-2 electrodes（50：1） exhibit a high initial reversible capacity of 205 mAh g^（-1）with an initial coulombic efficiency of 97.6% at 0.1 C. Even at a high current density of 10 C, the reversible capacity of the LP-2 electrodes still remains at 102 mAh g^（-1）. Moreover, the LP-2 electrodes retain an impressive high capacity of 161 mAh g^（-1）after 100 cycles at 1 C, with 0.11% capacity fading per cycle. The promising electrochemical performance may be attributed to the significantly decreasing charge-transfer impedance of the LP composite and reductive polarity difference between the cathode and the electrolyte.展开更多
基金Supported by the National Natural Science Foundation of China(No.61802304,61834005,61772417,61602377)the Shaanxi Province KeyR&D Plan(No.2021GY-029)。
文摘Deep learning algorithms have been widely used in computer vision,natural language processing and other fields.However,due to the ever-increasing scale of the deep learning model,the requirements for storage and computing performance are getting higher and higher,and the processors based on the von Neumann architecture have gradually exposed significant shortcomings such as consumption and long latency.In order to alleviate this problem,large-scale processing systems are shifting from a traditional computing-centric model to a data-centric model.A near-memory computing array architecture based on the shared buffer is proposed in this paper to improve system performance,which supports instructions with the characteristics of store-calculation integration,reducing the data movement between the processor and main memory.Through data reuse,the processing speed of the algorithm is further improved.The proposed architecture is verified and tested through the parallel realization of the convolutional neural network(CNN)algorithm.The experimental results show that at the frequency of 110 MHz,the calculation speed of a single convolution operation is increased by 66.64%on average compared with the CNN architecture that performs parallel calculations on field programmable gate array(FPGA).The processing speed of the whole convolution layer is improved by 8.81%compared with the reconfigurable array processor that does not support near-memory computing.
文摘目的了解中国儿童脑膜炎球菌疫苗(Meningococcal vaccine,MenV)接种率。方法采用多阶段整群随机抽样方法在中国120个国家级监测县选择1-13岁(2008-2019年出生)儿童开展MenV接种问卷调查,分析1-13岁儿童第1剂次和第2剂次、4-13岁儿童第3剂次、7-13岁儿童第4剂次MenV(MenV1、MenV2、MenV3和MenV4)接种率和非免疫规划(Expanded Program on Immunization,EPI)疫苗对EPI疫苗替代率。结果调查儿童MenV1、MenV2、MenV3、MenV4接种率分别为95.66%(18892/19749)、92.79%(18326/19749)、89.41%(12087/13518)、76.98%(6148/7987)。在MenV1、MenV2、MenV3、MenV4接种剂次数中,非EPI疫苗对EPI疫苗替代率分别为7.00%、8.08%、13.49%、12.51%;总替代率为9.60%,从2008年出生儿童的7.17%上升至2019年出生儿童的15.33%(趋势Z=13.20,P<0.001)。结论调查儿童MenV1和MenV2接种率较高而MenV3和MenV4接种率偏低,非EPI疫苗对EPI疫苗替代率呈上升趋势。需加强适龄儿童MenV常规免疫以及入学预防接种证查验和疫苗补种工作。
基金supported by the “973” Special Preliminary Study Plan (No. 2014CB260411)the National Key Technology R&D Program (No. 2013BAF09B02)+2 种基金the National Natural Science Foundation of China (No. 51472152)the Innovation Team Assistance Foundation of Shaanxi Province (No. 2013KCT-06)the Graduate Innovation Fund of Shaanxi University of Science and Technology
文摘The core-shell Li4Ti5O（12） @ polyaniline composites（LP） have been synthesized via an in situ synthesis with different mole ratios（25：1, 50：1 and 100：1, aniline：LTO）. As an anode material of lithium-ion batteries,the LP-2 electrodes（50：1） exhibit a high initial reversible capacity of 205 mAh g^（-1）with an initial coulombic efficiency of 97.6% at 0.1 C. Even at a high current density of 10 C, the reversible capacity of the LP-2 electrodes still remains at 102 mAh g^（-1）. Moreover, the LP-2 electrodes retain an impressive high capacity of 161 mAh g^（-1）after 100 cycles at 1 C, with 0.11% capacity fading per cycle. The promising electrochemical performance may be attributed to the significantly decreasing charge-transfer impedance of the LP composite and reductive polarity difference between the cathode and the electrolyte.
