The purpose of this paper is to improve allocation of the number of bits by estimating the target bits in H.264/AVC rate control.In the scheme,an enhancement method of the target unit-layer bit allocation is proposed,...The purpose of this paper is to improve allocation of the number of bits by estimating the target bits in H.264/AVC rate control.In the scheme,an enhancement method of the target unit-layer bit allocation is proposed,which uses a frame and unit complexity estimation to improve the existing mean absolute difference(MAD)complexity measurement.Using the statistical characteristics,we obtain change of occurrence bit about QP to apply the bit amount by QP from the video characteristics in the estimated bit amount of the current frame.Simulation results show that not only the proposed rate control scheme could achieve time saving of more than 99% over existing rate control algorithm,but also PSNR and bit rate were almost the same as the performance in all the sequences.展开更多
现有分阶段解码的实体关系抽取模型仍存在着阶段间特征融合不充分的问题,会增大曝光偏差对抽取性能的影响。为此,提出一种双关系预测和特征融合的实体关系抽取模型(entity relation extraction model with dual relation prediction and...现有分阶段解码的实体关系抽取模型仍存在着阶段间特征融合不充分的问题,会增大曝光偏差对抽取性能的影响。为此,提出一种双关系预测和特征融合的实体关系抽取模型(entity relation extraction model with dual relation prediction and feature fusion,DRPFF),该模型使用预训练的基于Transformer的双向编码表示模型(bidirectional encoder representation from transformers,BERT)对文本进行编码,并设计两阶段的双关系预测结构来减少抽取过程中错误三元组的生成。在阶段间通过门控线性单元(gated linear unit,GLU)和条件层规范化(conditional layer normalization,CLN)组合的结构来更好地融合实体之间的特征。在NYT和WebNLG这2个公开数据集上的试验结果表明,该模型相较于基线方法取得了更好的效果。展开更多
为探究不同反应条件对MOFs微观结构和宏观性能的影响,在不同反应条件下,以硫酸铜(CuSO_(4)·5H_(2)O)和6-(吡啶-3′-基)间苯二甲酸(H_(2)L)为材料,制备了2种金属有机框架材料(MOFs){[Cu_(2)(L)_(2)·C _(2) H _(3) N]}n(1)和{[C...为探究不同反应条件对MOFs微观结构和宏观性能的影响,在不同反应条件下,以硫酸铜(CuSO_(4)·5H_(2)O)和6-(吡啶-3′-基)间苯二甲酸(H_(2)L)为材料,制备了2种金属有机框架材料(MOFs){[Cu_(2)(L)_(2)·C _(2) H _(3) N]}n(1)和{[Cu(HL)_(2)]}n(2),并对合成的金属有机框架材料1和2进行了结构分析、TGA和FTIR表征以及对染料的吸附性能研究。单晶衍射数据分析表明:配合物1和2都属单斜晶系,P 21/c空间群。配合物1是一种基于双核轮桨次级构筑单元[Cu_(2)(COO)_(4)]构筑的三维紧密堆积化合物,配合物2由于配体部分质子化,结构中存在氢键[O_(3)—H…O_(4)],将二维层状网络结构连接成三维结构。配合物1是rtl拓扑类型的网络结构,拓扑符号为(42.610.83);配合物2是sql拓扑类型的网络结构,拓扑符号为(4^(4).6^(2))。2种配合物在相同时间间隔下对不同染料降解性能表明配合物2对水溶液中的孔雀石绿具有一定的化学吸附降解能力。展开更多
基金supported by the MKE(The Ministry of Knowledge Economy),Korea,under the ITRC(Information Technology Research Center)support program supervised by the NIPA(National IT Industry Promotion Agency)(NIPA-2011-C1090-1121-0010)
文摘The purpose of this paper is to improve allocation of the number of bits by estimating the target bits in H.264/AVC rate control.In the scheme,an enhancement method of the target unit-layer bit allocation is proposed,which uses a frame and unit complexity estimation to improve the existing mean absolute difference(MAD)complexity measurement.Using the statistical characteristics,we obtain change of occurrence bit about QP to apply the bit amount by QP from the video characteristics in the estimated bit amount of the current frame.Simulation results show that not only the proposed rate control scheme could achieve time saving of more than 99% over existing rate control algorithm,but also PSNR and bit rate were almost the same as the performance in all the sequences.
文摘现有分阶段解码的实体关系抽取模型仍存在着阶段间特征融合不充分的问题,会增大曝光偏差对抽取性能的影响。为此,提出一种双关系预测和特征融合的实体关系抽取模型(entity relation extraction model with dual relation prediction and feature fusion,DRPFF),该模型使用预训练的基于Transformer的双向编码表示模型(bidirectional encoder representation from transformers,BERT)对文本进行编码,并设计两阶段的双关系预测结构来减少抽取过程中错误三元组的生成。在阶段间通过门控线性单元(gated linear unit,GLU)和条件层规范化(conditional layer normalization,CLN)组合的结构来更好地融合实体之间的特征。在NYT和WebNLG这2个公开数据集上的试验结果表明,该模型相较于基线方法取得了更好的效果。
