Online face recognition system based on multi-view algorithm and Kernel PCA

An online face recognition system is presented in the paper. To online face recognition system, we should consider the recognition rate, the image compression and image size. In the paper we researched the innovation technologies for face recognition system, including Kernel Principal Component Analysis （Kernel PCA）, Delta low-pass wavelet filter, and face recognition algorithm using multiple images. Kernel PCA is derived to classify the characteristics of training images in the database. Delta low-pass wavelet filter is used to reduce the image size. A face recognition algorithm using multiple images is presented to improve the recognition rate. Simulation experiment shows that in the case of packet loss recognition rate is improved highly.     

MCLP-based methods for improving “Bad” catching rate in credit cardholder behavior analysis

Cardholders’ behavior prediction is an important issue in credit card portfolio management. As a promising data mining approach, multiple criteria programming (MCLP) has been successfully applied to classify credit cardholders’ behavior into two groups. In order to better control credit risk for financial institutes, this paper proposes three methods based on MCLP to improve the “Bad” catching accuracy rate. One is called MCLP with unbalanced training set selection, the second is called fuzzy linear programming (FLP) method with moving boundary, and the third is called penalized multi criteria linear programming (PMCLP). The experimental examples demonstrate the promising performance of these methods.     

Effects of shear rate and small periodic corrugation on the slip velocity in microscopic domain

We obtain analytically the slip velocity (up to the second order) of shear-thinning fluids inside the periodically corrugated microtube by using the verified fluid model and boundary perturbation method. Our results show that, even the slip length being zero, there is a slip velocity which is proportional to the small amplitude of periodic corrugation, the (referenced) shear rate, the applied forcing, and the orientation or the angle. Our results could be applied to the flow control in microfluidics as well as biofluidics.     

Classification of metabolic and respiratory demands in fire fighting activity with extreme workloads

Fire fighting work comprises work tasks requiring an energy yield at maximal or close to maximal levels of the individual. Due to the very nature of fire fighting more complex physiological variables are difficult to measure. We measured metabolic and respiratory responses in 15 male, professional fire fighters during simulated work tasks on a test ground. Work time was on the average 22 min with individual components of work tasks lasting 2-4 min. The mean oxygen consumption for the whole exercise (22 min) was 2.75+/-0.29 l/min. The most demanding work task demanded an oxygen uptake of 3.55+/-0.27 l/min. Corresponding values for respiratory minute volumes were 82+/-14 and 102+/-14l/min, respectively. Heart rates averaged 168+/-12 for the whole test and 179+/-13 beats/min for the heaviest work task. Two new classes for classification of intensive and exhausting, short term physical work are proposed for inclusion in ISO8996 and values for relevant parameters are proposed.     

静态图像编码研究进展

多媒体及Internet的迅速发展导致了对图像编码技术更高的要求。首先以波形编码、第二代编码技术和分形编码技术为线索对静态图像编码技术的发展及编码技术中所存在的一些问题进行了讨论,并从图像编解码的观点讨论了图像在有噪信道上传输的误码率情况和适应于传输的一些图像编码技术;同时对即将成为新的静态图像编码标准的JPEG－2000的目标、编码机制、POI编码的Maxshift方法以及对码流的直接操作等情况进行了讨论。尽管压缩效果一直是任何编码方案所追求的目标,但其它特性,像基于内容的编码、可分级性编码以及鲁棒性编码等也是选择一个好的编码方案时应该考虑的,据此最后对图像编码技术的发展方向进行了展望。     

Hopfield型连续神经网络指数收敛速度的估计

讨论了Hopfield型连续神经网络的指数收敛速度问题,从理论上得到了新的局部指数收敛条件,与以往的结果相比,本文导出指数收敛的阶更大,指数收敛的速度要更快,文中还给出了数值举例。     

（RbCl）108离子簇均相成核的分子动力学研究

分子动力学模拟测得熔融（RbCl)108离子簇在300K至600K温度时凝固的成核速率大于10^35m^-3s^-1,用均相成核的经典理论加以分析,估算得氯化铷离子簇的固液界面自由能σalT^1.4,用Grunasy提出的扩散界面理论加以分析,估算得扩展界面厚度约为0．195nm,σalT^0.97,2个理论在实验温度范围内没有明显判别,且均能较好地分子动力学模型的结果,但预测的较高温度下的成核速率有比较显著区别,因此进一步地研究将有助于鉴别它们。     

大型系统最优部件组合的确定方法

本文给出大型系统在特定指标要求下,系统基 本单元最优组合的一种确定方法．该方法计算简单、容易并且有效,方法的迭代次数是目标 函数的最优值与子系统个数的差,因此,方法在有限步内收敛．     

用遗传算法进行串行生产线缓冲器设计

1　引言制造系统生产线的分析、设计及优化问题 ,越来越受到工程专家们的关注 .在各类制造系统中 ,串行生产线制造系统是最简单的也是应用最为普遍的 ,所以近年来关于此类问题的分析方案已有数十种 .但是 ,由于串行生产线问题的状态维数很大 ,各种分析方法都十分复杂 ,计算量大 ,而且都没能对整条生产线状态建立一个清晰的适合优化的表达 .所以 ,现在仍没有一种有效的串行生产线优化算法 .2　生产线分析现有的一些有影响的分析方案 ,有 Buzacott[1 ] ,Hong[2 ] ,Gershinwin[3,4] ,疏松桂 [5]、谭民[6] 等人的算法 ,其中 Buzacott[1 ] 首先…     

Ion-cyclotron resonance study of elementary stages of the catalytic oxidation of CO by N2O in the presence of VIA-group metal ions

Gas phase reactions of Mo⁺ and W⁺ ions with the molecules of various oxidants (NO, O₂, N₂O, CH₂O, C₂H₄O) were studied using ion cyclotron resonance. In oxidation with N₂O the mono-, di- and trioxide metal cations are formed consecutively. The trioxide MO₃ ⁺ ions of both metals react with CO to form CO₂ and MO₂ ⁺ ions. In this way, catalytic reaction N₂O + CO N₂ + CO₂ occurs in the gas phase with MoO₃ ⁺ /MoO₂ ⁺ and WO₃ ⁺/WO₂ ⁺ couples as catalysts. The rate constants have been measured for both stages of the catalytic cycle as well as for the stages of the catalyst preparation. Metal-oxygen bond energies were estimated for MoO_x ⁺ and WO_x ⁺ species with various x. The mechanism of CO oxidation with MoO_x ⁺ and WO_x ⁺ cations as catalysts in the gas phase is discussed in comparison with that for the oxidation over classical solid oxide catalysts.