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10篇 您的检索式:作者名="Songzhi"
    题名 作者 年代 出处 被引量
1The spatial pattern of farming and factors influencing it during the Peiligang culture period in the middle Yellow River valley, China显示文摘The Peiligang culture(ca.7000–5000 cal BC)is the earliest Neolithic culture in the middle Yellow River valley and represents the emergence of cereal farming in the region[1].It has long been considered representative of millet farming[2],which requires a dry field,a certain amount of rainfall,and minimal crop management,but new records reveal that mixed farming of millet and rice(Oryza sp.)took place during this period[3].Therefore,it is possibleCan Wang Houyuan Lu Wanfa Gu Naiqin Wu Jianping Zhang Xinxin Zuo Fengjiang Li Daojing Wang Yajie Dong Songzhi Wang Yanfeng Liu Yingjian Bao Yayi Hu 2017Science Bulletin2017,62,23:6
2Convolution without multiplication:A general speed up strategy for CNNs显示文摘Convolutional Neural Networks(CNN)have achieved great success in many computer vision tasks.However,it is difficult to deploy CNN models on low-cost devices with limited power budgets,because most existing CNN models are computationally expensive.Therefore,CNN model compression and acceleration have become a hot research topic in the deep learning area.Typical schemes for speeding up the feed-forward process with a slight accuracy loss include parameter pruning and sharing,low-rank factorization,compact convolutional filters and knowledge distillation.In this study,we propose a general acceleration scheme that replaces the floating-point multiplication with integer addition.To this end,we propose a general accelerate scheme,where the floating point multiplication is replaced by integer addition.The motivation is based on the fact that every floating point can be replaced by the summation of an exponential series.Therefore,the multiplication between two floating points can be converted to the addition among exponentials.In the experiment section,we directly apply the proposed scheme to AlexNet,VGG,ResNet for image classification,and Faster-RCNN for object detection.The results acquired from ImageNet and PASCAL VOC show that the proposed quantized scheme has a promising performance,even with only one item of exponential.Moreover,we analyzed the eciency of our method on mainstream FPGAs.The experimental results show that the proposed quantized scheme can achieve acceleration on FPGA with a slight accuracy loss.CAI GuoRong YANG ShengMing DU Jing WANG ZongYue HUANG Bin GUAN Yin SU SongJian SU JinHe SU SongZhi 2021Science China(Technological Sciences)2021,64,12:5
3PT symmetry as a generalization of Hermiticity显示文摘WANG Qinghai CHAI Songzhi ZHANG Jiehong 0,,:1
4Evaluation of distillers grains as fillers for low density polyethylene: Mechanical, rheological and thermal characterization 显示文摘Xuegang Luo Jiwei Li Juan Feng Songzhi Xie Xiaoyan Lin 2013Composites Science and Technology2013,,89:1
5Synthesis and Characterization of Novel Azo-containing or Azoxy-containing Schiff Bases and Their Antiproliferative and Cytotoxic Activities显示文摘SU Ran LU Lei ZHENG Songzhi JIN Yinghua AN Shengji 2015Chemical Research in Chinese Universities2015,31,1:1
6Structure dependent electrooxidation of small organic molecules on Pt-decorated nanoporous gold membrane catalysts显示文摘Xingbo Ge Rongyue Wang Songzhi Cui Fang Tian Liqiang Xu Yi Ding 2008Electrochemistry Communications2008,,10:1
7Perspective-SIFT : an efficient tool for low-altitude remote sensing image registration 显示文摘Cai Guorong Jodoin P M Li Shaozi Wu Yundong Su Songzhi Huang Zhenkun 2013Signal Processing2013,93,11:1
8On Harmonic Approximation for Large Josephson Junction Coupling Charge Qubits显示文摘We revisit the harmonic approximation (HA) for a large Josephson junction interacting with some charge qubits through the variational approach for the quantum dynamics of the junction-qubit coupling system. By making use of numerical calculation and analytical treatment, the conditions under which HA works well can be precisely presented to control the parameters implementing the two-qubit quantum logical gate through the couplings to the large junction with harmonic oscillator Hamiltonian.SHITao CHENBing SONGZhi 2005Communications in Theoretical Physics2005,43,5:0
9Discussion on Application of Green Financial Management in the Enterprise显示文摘Songzhi Sun 2014International English Education Research2014,,10:0
10Expression Pattern of IGF-I Gene and Correlation between Its SNPs and Growth Traits in Sheep显示文摘This study was to investigate the expression pattern of IGF-I gene and correlation between its SNPs and growth traits in sheep.The expression patterns of IGF-I gene in brain,muscle,skin,liver and heart of Liangshan semi-wool sheep were detected at six growth stages(15,60,105,195,240 days) by employing qRT-PCR approach,and the correlation between SNPs of IGF-I gene and growth traits via SSCP method.The first inflection point of IGF-I gene expression was observed at day 105 in all five tissues.From 15-105 days IGF-I gene gave a decline-ascending trend in muscle,brain and liver,while it did not vary significantly during day 15-day 60 and was up-regulated in heart and liver at day 105.Whenafter,the expression level was down-regulated in liver,while that in muscle,heart,brain and skin assumed the second inflection point.The expression levels of IGF-I gene in brain and skin at day 195 were significantly higher than that at day 150 and day 240.These suggest the synchronous expression of IGF-I gene in all five tissues.Two SNPs located at the leader region and exon 3 of IGF-I gene were middle or low polymorphic.The SNP locus detected with primer P-1 was significantly correlated with birth weight of Liangshan semi-wool sheep(P <0.05),while that detected with primer P-2 was significantly correlated with weaning weight and the weaning daily gain(P < 0.05).The expression of IGF-I in all tissues had the similar developmental patterns,and strong correlation of the SNPs of IGF-I gene was confirmed with the eary growth traits to provide theoretical basis for the growth regulation and applying to assisted selective breeding with the SNPs in liangshan semi-wool sheep.Zhou Mingliang Zhang Xiangyu Qi Songzhi Wang Qi Wu Dengjun Yang Pinggui 2015Animal Husbandry and Feed Science2015,7,1:0
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