A systematic review of the recent literature regarding pseudophakic monovision as a reliable methods for presbyopia correction was performed based on the PubMed, MEDLINE, Nature and the American Academy of Ophthalmolo...A systematic review of the recent literature regarding pseudophakic monovision as a reliable methods for presbyopia correction was performed based on the PubMed, MEDLINE, Nature and the American Academy of Ophthalmology databases in July 2015 and data from 18 descriptive and 12 comparative studies were included in this narrative review. Pseudophakic monosvision seems to be an effective method for presbyopia with high rates of spectacles independence and minimal dysphotopsia side- effects, that should be considered by the modern cataract surgeons.展开更多
We consider H（curl, Ω）-elliptic variational problems on bounded Lipschitz polyhedra and their finite element Galerkin discretization by means of lowest order edge elements. We assume that the underlying tetrahedral...We consider H（curl, Ω）-elliptic variational problems on bounded Lipschitz polyhedra and their finite element Galerkin discretization by means of lowest order edge elements. We assume that the underlying tetrahedral mesh has been created by successive local mesh refinement, either by local uniform refinement with hanging nodes or bisection refinement. In this setting we develop a convergence theory for the the so-called local multigrid correction scheme with hybrid smoothing. We establish that its convergence rate is uniform with respect to the number of refinement steps. The proof relies on corresponding results for local multigrid in a H^1 （Ω）-context along with local discrete Helmholtz-type decompositions of the edge element space.展开更多
基于燃烧优化调整试验的优化方法难以取得长久而有效的作用,为满足锅炉高效低污染燃烧的迫切需求,借助燃烧优化性能试验数据,应用人工神经网络建立预测模型,实现飞灰含碳量和排烟温度的软测量并利用预测数据校正飞灰含碳量、排烟温度的...基于燃烧优化调整试验的优化方法难以取得长久而有效的作用,为满足锅炉高效低污染燃烧的迫切需求,借助燃烧优化性能试验数据,应用人工神经网络建立预测模型,实现飞灰含碳量和排烟温度的软测量并利用预测数据校正飞灰含碳量、排烟温度的测量值。同时将校正的数据经过判断模块后输入到锅炉热效率和NO_x排放量预测的混合模型,不断扩充训练数据维数,并利用粒子群算法实现操作参数的实时寻优。实践证明:这种方法能够利用分散控制系统(distributed control system,DCS)实时数据,较为准确地获取当前最佳的锅炉燃烧调整方案,可在锅炉效率合理变化的基础上大幅度减少NO_x的排放量。展开更多
The development of document image databases is becoming a challenge for document image retrieval tech-niques.Traditional layout-reconstructed-based methods rely on high quality document images as well as an optical ch...The development of document image databases is becoming a challenge for document image retrieval tech-niques.Traditional layout-reconstructed-based methods rely on high quality document images as well as an optical char-acter recognition(OCR)precision,and can only deal with several widely used languages.The complexity of document layouts greatly hinders layout analysis-based approaches.This paper describes a multi-density feature based algorithm for binary document images,which is independent of OCR or layout analyses.The text area was extracted after prepro-cessing such as skew correction and marginal noise removal.Then the aspect ratio and multi-density features were extract-ed from the text area to select the best candidates from the document image database.Experimental results show that this approach is simple with loss rates less than 3%and can efficiently analyze images with different resolutions and dif-ferent input systems.The system is also robust to noise due to its notes and complex layouts,etc.展开更多
文摘A systematic review of the recent literature regarding pseudophakic monovision as a reliable methods for presbyopia correction was performed based on the PubMed, MEDLINE, Nature and the American Academy of Ophthalmology databases in July 2015 and data from 18 descriptive and 12 comparative studies were included in this narrative review. Pseudophakic monosvision seems to be an effective method for presbyopia with high rates of spectacles independence and minimal dysphotopsia side- effects, that should be considered by the modern cataract surgeons.
基金supported in part by China NSF under the grant 60873177by the National Basic Research Project under the grant 2005CB321702
文摘We consider H（curl, Ω）-elliptic variational problems on bounded Lipschitz polyhedra and their finite element Galerkin discretization by means of lowest order edge elements. We assume that the underlying tetrahedral mesh has been created by successive local mesh refinement, either by local uniform refinement with hanging nodes or bisection refinement. In this setting we develop a convergence theory for the the so-called local multigrid correction scheme with hybrid smoothing. We establish that its convergence rate is uniform with respect to the number of refinement steps. The proof relies on corresponding results for local multigrid in a H^1 （Ω）-context along with local discrete Helmholtz-type decompositions of the edge element space.
文摘基于燃烧优化调整试验的优化方法难以取得长久而有效的作用,为满足锅炉高效低污染燃烧的迫切需求,借助燃烧优化性能试验数据,应用人工神经网络建立预测模型,实现飞灰含碳量和排烟温度的软测量并利用预测数据校正飞灰含碳量、排烟温度的测量值。同时将校正的数据经过判断模块后输入到锅炉热效率和NO_x排放量预测的混合模型,不断扩充训练数据维数,并利用粒子群算法实现操作参数的实时寻优。实践证明:这种方法能够利用分散控制系统(distributed control system,DCS)实时数据,较为准确地获取当前最佳的锅炉燃烧调整方案,可在锅炉效率合理变化的基础上大幅度减少NO_x的排放量。
基金supported by the National Natural Science Foundation of China(Grant No.60472028)the Specialized Research Fund for the Doctoral Program of Higher Education(No.20040003015).
文摘The development of document image databases is becoming a challenge for document image retrieval tech-niques.Traditional layout-reconstructed-based methods rely on high quality document images as well as an optical char-acter recognition(OCR)precision,and can only deal with several widely used languages.The complexity of document layouts greatly hinders layout analysis-based approaches.This paper describes a multi-density feature based algorithm for binary document images,which is independent of OCR or layout analyses.The text area was extracted after prepro-cessing such as skew correction and marginal noise removal.Then the aspect ratio and multi-density features were extract-ed from the text area to select the best candidates from the document image database.Experimental results show that this approach is simple with loss rates less than 3%and can efficiently analyze images with different resolutions and dif-ferent input systems.The system is also robust to noise due to its notes and complex layouts,etc.
