基于CART的社区矫正人员危险性评估

目前对社区矫正人员危险性评估的研究普遍停留在理论研究阶段,建立的模型大多缺乏实际数据的支撑,为了方便掌握社区矫正实际情况,基于CART（分类回归树）算法对某市司法局的社区矫正人员数据（不包含敏感信息）进行建模分析,通过服刑人员的基础特征值得到该服刑人员的危险度评估结果,与实际结果相比,准确率达到85%~90%,此外对社区矫正中实际存在的数据缺失问题进行讨论并提出解决办法。     

Facial expression analysis and expression-invariant face recognition by manifold-based synthesis

Over the last decades, expression classification and face recognition have received substantial attention in computer vision and pattern recognition with more recent efforts focusing on understanding and modelling expression variations. In this paper, we present an expression classification and expression-invariant face recognition method by synthesising photorealistic expression manifolds to expand the gallery set. By means of synthesising expression images from neutral faces, more within-subject variability can be obtained. Eigentransformation is utilised to generate both shape and expression details for novel subjects. Expression classification and face recognition are then performed on the extended training set with synthesised expressions. Experimental results on various datasets show that the proposed method is robust for recognising various expressions and faces with varying degrees of expression. Comprehensive experiments conducted and comparisons with the existing methods are reported. Cross-database synthesis and effect of landmark quality are also studied.     

Design and performance evaluation of a haptic interface based on MR fluids for endovascular tele-surgery

Microsystem Technologies - In this paper, a magnetorheological (MR) fluids based haptic interface has been developed in master site to provide the haptic sensation to the interventionalist during...     

Local sparsity preserving projection and its application to biometric recognition

Multimedia Tools and Applications - Dimensionality reduction techniques based on sparse representation have drawn great attentions recently and they are successfully applied to biometric...     

Effect of Gd doping on crystalline orientation,structural and electric properties of PZT thin films prepared by Sol-Gel methods

Gadolinium (Gd)-doped lead zirconium titanate (PGZT) thin films have been prepared by Sol-Gel methods to investigate the effects of Gd doping on crystalline orientation, structural and electric properties of lead zirconium titanate (PZT) films according to doping concentration from 0% to 5%. Conventional heat process and appropriate doping concentration, without introducing a single crystal seed layer, were used for obtaining (100)-oriented PGZT thin films with dense columnar structures. The maximum dielectric constant (1310.35 at 100 Hz) and the optimum ferroelectric properties were obtained for 2% Gd-doped film. 1% Gd-doped PZT film exhibited excellent piezoelectric properties.     

基于多物理场耦合的U3Si2燃料与双层SiC包壳组合的轻水堆燃料性能分析

基于COMSOL平台开发了一套基于多物理场全耦合的燃料性能分析程序,并通过径向功率分布模型对比验证了该程序的正确性与准确性;然后进一步分析了U₃Si₂燃料与双层SiC包壳组合、U₃Si₂燃料与锆合金包壳组合在反应堆正常运行工况下的性能,并与UO₂燃料与锆合金的组合进行了对比分析。计算结果发现U₃Si₂燃料与锆合金包壳组合相比UO₂燃料与锆合金的组合具有更低的燃料中心温度、裂变气体释放量及内压,但气隙闭合时间会提前;而U₃Si₂燃料与双层SiC包壳的组合相比U₃Si₂燃料与锆合金的组合具有更高的燃料中心温度、更大的裂变气体释放量及内压,且随着燃耗的增加,其燃料中心温度大幅增加,与锆合金包壳相比,双层SiC包壳能够有效延迟气隙闭合,缓解燃料与包壳的力学相互作用。      

CPU-GPU协同计算在MOC中子输运异构并行计算中的应用研究

特征线方法（MOC）可以精确求解任意几何的中子输运方程,但该方法收敛慢、计算时间长。本研究基于空间区域分解和特征线并行技术,采用MPI+OpenMP/CUDA编程模型,实现了适用于中央处理器-图形处理器（CPU-GPU）异构系统的二维MOC异构并行算法。为充分利用异构系统中的CPU和GPU计算资源,实现CPU-GPU协同计算,提出动态任务分配模型,根据CPU和GPU的计算能力合理分配计算任务。数值验证结果表明:程序具有良好的计算精度;动态任务分配模型能根据硬件性能给出最佳任务分配方案;5异构节点（包含20块GPU）并行时,相对MPI+CUDA并行模式,采用CPU-GPU协同计算后,程序整体效率提升达到14%。      

稀醋酸萃取塔的优化模拟及塔板核算

为解决PTA醋酸萃取塔萃取相水分含量较高的问题,利用Aspen软件对萃取塔建立了满足现场工况的模型,探讨了萃取塔中各个因素对塔顶水分含量的影响,研究表明调整萃取塔的溶剂比是较合适的优化选项。根据塔顶水份优化的要求,计算并获得优化条件下的水力学参数,并依据塔板水力学进行了核算,核算结果表明,塔的参数基本能满足工艺优化的要求。该塔运行后,塔顶水份的含量降低了1%。     

Preparation of Aqueous Nanodispersions of Disperse Dye by High-Gravity Technology and Spray Drying

Disperse dyes are poorly water-soluble and difficult to stably disperse in an aqueous medium, which greatly limits their application in dyeing synthetic fibers. Micronization can solve this problem. Herein, a facile way to prepare stable aqueous nanodispersions of disperse dye (C.I. disperse yellow 54) is presented by combining high-gravity antisolvent precipitation in a rotating packed bed (RPB) with spray drying. The as-prepared product had an average particle size of 120 nm, which could be readily redispersed in water. Compared with raw dye, the wettability and dispersibility of disperse dye nanoparticles were remarkably improved. Furthermore, the dyeing properties of the nanodispersions were obviously better than those of the commercial dye, which was micronized by ball milling.