传统的Bag of Words模型检索方法并不具备局部特征间的空间关系,因此影响检索性能.本文提出了基于分级显著信息的空间编码方法.通过分层次的提取显著区域并对每个显著区域内的特征点进行空间编码.目的是探索特征间的空间关系,并根据分...传统的Bag of Words模型检索方法并不具备局部特征间的空间关系,因此影响检索性能.本文提出了基于分级显著信息的空间编码方法.通过分层次的提取显著区域并对每个显著区域内的特征点进行空间编码.目的是探索特征间的空间关系,并根据分级显著信息提高特征间的相关性.在几何验证过程中,本文通过任意三点间的角度编码和位移编码构成的空间编码方法完成图像对之间的空间关系匹配,同时根据图像各个区域间的显著程度赋予该区域空间关系匹配得分相应权重,得到最终的几何得分,重新排列检索结果.实验结果表明本文提出的方法既改善了最终检索结果的精确度又降低了几何验证阶段的计算时间.展开更多
Heliostats are sensitive to the wind load, thus as a key indicator, the study on the static and dynamic stability bearing capacity for heliostats is very important. In this work, a numerical wind tunnel was establishe...Heliostats are sensitive to the wind load, thus as a key indicator, the study on the static and dynamic stability bearing capacity for heliostats is very important. In this work, a numerical wind tunnel was established to calculate the wind load coefficients in various survival stow positions. In order to explore the best survival stow position for the heliostat under the strong wind, eigenvalue buckling analysis method was introduced to predict the critical wind load theoretically. Considering the impact of the nonlinearity and initial geometrical imperfection, the nonlinear post-buckling behaviors of the heliostat were investigated by load-displacement curves in the full equilibrium process. Eventually, combining B-R criterion with equivalent displacement principle the dynamic critical wind speed and load amplitude coefficient were evaluated. The results show that the determination for the best survival stow position is too hasty just by the wind load coefficients. The geometric nonlinearity has a great effect on the stability bearing capacity of the heliostat, while the effects of the material nonlinearity and initial geometrical imperfection are relatively small. And the heliostat is insensitive to the initial geometrical imperfection. In addition, the heliostat has the highest safety factor for wind-resistant performance in the stow position of 90-90 which can be taken as the best survival stow position. In this case, the extreme survival wind speeds for the static and dynamic stability are 150 m/s and 36 m/s, respectively.展开更多
文摘传统的Bag of Words模型检索方法并不具备局部特征间的空间关系,因此影响检索性能.本文提出了基于分级显著信息的空间编码方法.通过分层次的提取显著区域并对每个显著区域内的特征点进行空间编码.目的是探索特征间的空间关系,并根据分级显著信息提高特征间的相关性.在几何验证过程中,本文通过任意三点间的角度编码和位移编码构成的空间编码方法完成图像对之间的空间关系匹配,同时根据图像各个区域间的显著程度赋予该区域空间关系匹配得分相应权重,得到最终的几何得分,重新排列检索结果.实验结果表明本文提出的方法既改善了最终检索结果的精确度又降低了几何验证阶段的计算时间.
基金Project(CYB14010)supported by Chongqing Graduate Student Research Innovation Project,ChinaProject(51405209)supported by the National Natural Science Foundation of China
文摘Heliostats are sensitive to the wind load, thus as a key indicator, the study on the static and dynamic stability bearing capacity for heliostats is very important. In this work, a numerical wind tunnel was established to calculate the wind load coefficients in various survival stow positions. In order to explore the best survival stow position for the heliostat under the strong wind, eigenvalue buckling analysis method was introduced to predict the critical wind load theoretically. Considering the impact of the nonlinearity and initial geometrical imperfection, the nonlinear post-buckling behaviors of the heliostat were investigated by load-displacement curves in the full equilibrium process. Eventually, combining B-R criterion with equivalent displacement principle the dynamic critical wind speed and load amplitude coefficient were evaluated. The results show that the determination for the best survival stow position is too hasty just by the wind load coefficients. The geometric nonlinearity has a great effect on the stability bearing capacity of the heliostat, while the effects of the material nonlinearity and initial geometrical imperfection are relatively small. And the heliostat is insensitive to the initial geometrical imperfection. In addition, the heliostat has the highest safety factor for wind-resistant performance in the stow position of 90-90 which can be taken as the best survival stow position. In this case, the extreme survival wind speeds for the static and dynamic stability are 150 m/s and 36 m/s, respectively.
