基于似然同步方法的非线性脑电信号分析方法

头皮脑电信号具有非平稳特性,相干等传统分析方法并不能很好地检测这些脑电时间序列间的依赖关系。广义同步中的似然同步算法对非平稳信号处理具有较好的效果,该文将它应用到实际脑电信号分析中。基于单向耦合Henon映射系统和实际脑电数据的仿真结果均表明,基于广义同步的似然同步方法适用测量非平稳信号间关系。针对健康被试静息态下,从闭眼到睁眼的过程中脑电信号间同步性的变化进行了研究,发现从闭眼到睁眼过程中,大脑的alpha波在几乎所有电极间的同步强度都显著地减弱,大脑的活动受到一定的抑制。上述结果也表明该方法在脑电数据分析中具有重要的意义,为其他的脑电研究提供一定的参考方法。     

CFD在调压室设计计算中的可行性研究

采用C FD方法对简单调压室和阻抗式调压室进行数值模拟,计算出不同分流比下,调压室的阻力系数值,将模拟结果同文献中的试验值进行对比分析。结果表明,模拟曲线和试验曲线的趋势基本一致,并且模拟数值和试验数值高度吻合,该方法可应用在调压室的阻力系数研究中。在此基础之上,该方法应用在实际电站调压室的模拟中,并通过水力过渡过程的计算,验证了该结果的准确性。最后得出结论, C FD方法可应用于调压室的设计计算。     

Novel Method Fusing (2D)2LDA with Multichannel Model for Face Recognition

A fusion method of Gabor features and (2D)²LDA for face feature extraction is proposed in this paper. Gabor filters are utilized to extract multi-direction and multi-scale features from facial image to employ its robust performance for illumination, expressional variability and other factors. The extracted features have the defect of high dimension and redundancy data. (2D)²LDA is implemented to reduce the dimension of Gabor features and select effective feature data. Finally, the nearest neighbor classifier is used to classify characteristics and complete face recognition. The experiments are implemented by using ORL database and Yale database respectively. The experimental results show that the proposed method significantly reduces the dimension of Gabor features and decrease the influence of other factors. The proposed method acquires excellent recognition accuracy and has light architectures as well.     

Polybrominated Diphenyl Ethers in Surface Sediment from Songhua River Basin, Northeast of China

Sixty sediment samples were collected from the main Songhua River in three years. Twelve polybrominated diphenyl ether ( PBDE) congeners ( BDE17, 28, 47, 66, 99, 100, 153, 154, 138, 183, and BDE?209) w...     

改进的粒子群优化算法下的MIMO雷达稳健波束形成

在进行阵列自适应波束形成时,由于阵元导向矢量失配现象的存在,严重影响了常规最优波束形成的性能。考虑阵元的导向矢量误差,运用改进的粒子群优化算法对阵元的导向矢量进行纠正,使其误差达到最小,得到了一种适用于多输入多输出雷达的新的稳健波束形成方法。与现有的应用于MIMO雷达的稳健波束形成方法相比,在导向矢量误差较大或者误差随机变化的情况下新方法具有更高的输出信号干噪比,且其性能一直保持了较高的稳定性。数值仿真结果验证了新方法相比已有算法具有更好的鲁棒性和更高的输出性能。     

基于ALC的事例库结构及检索研究

为了提高基于ALC的事例检索的效率,通过概念距离及LCS推理给出了索引节点密度大且带权重的事例库层次结构,实现了事例更细致的分类及统一概念距离的语义。根据该结构的组织方式、LCS概念及概念距离给出了事例筛选及相似性度量算法,证明了通过事例筛选得到的候选事例集明显减小,采用相似性度量算法能得到合理的候选事例序列,从而提高了基于ALC的事例检索的效率。     

纵向涡发生器攻角对翅片传热性能的影响

为了提高翅片式换热器的强化传热性能,对不同攻角的纵向涡发生器的翅片区域进行了研究.采用流体仿真软件FLUENT对发生器的翅片区域建立六面体网格模型,对不同攻角的纵向涡发生器的努塞尔数、阻力因子、综合性能分别进行数值分析和对比.结果显示:随着纵向涡发生器的攻角增加,纵向涡翅片的努塞尔数增强的越来越明显,其中纵向涡发生器攻角为45°的翅片努塞尔数最大;同时随着纵向涡发生器的攻角增加,阻力因子也随之增加;带纵向涡发生器的翅片的传热效果强于不带纵向涡发生器的翅片;通过比较综合评价因子,攻角为45°的纵向涡翅片在雷诺数为2000~6000内,综合性能最好.     

硫化锌量子点的水热-均相沉淀法制备与表征

为制备高品质、性质稳定的硫化锌量子点,采用硫代乙酰胺在水热条件下的均相沉淀法制备了硫化锌量子点,并采用X射线衍射、透射电子显微镜和荧光光谱仪分别表征了所制得量子点的物相、颗粒尺寸和发光性质,考察了反应时间对量子点物相、颗粒尺寸和发光性质的影响.结果表明,在80℃水浴条件下,可以获得颗粒尺寸在20 nm以下,面心立方结构的硫化锌量子点.发光性能测试表明:制备的硫化锌量子点可被330 nm紫外光有效激发,产生位于430 nm附近的蓝光发射;随着反应时间的延长,量子点颗粒尺寸增大、发光性质减弱.     

Influencing factors of the dynamic hysteresis in varying compliance vibrations of a ball bearing

We focus on the hysteretic characteristics of the varying compliance (VC) principal resonance in a ball bearing. The branches of the periodic VC response are traced by the harmonic balance method and the alternating frequency/time domain technique (HB-AFT) embedding Arc-length continuation, and the stability of these solutions is investigated by using Floquet theory. We find that the resonant response displays a swallow-tail structure due to the coupling nonlinearities between the Hertzian contact and the bearing clearance, which differs from the soft hysteresis of the non-loss Hertzian contact resonances. Furthermore, we find that period-1 VC branch cannot completely characterize the response of the system for a large bearing clearance, because multiple instability regions may occur from the cyclic fold, the secondary Hopf bifurcations, supercritical and subcritical period doubling bifurcations, in which case co-existences of period-1, period-2, and even quasi-periodic VC motions emerge in the hysteretic resonant range.     

一种虹膜色素块检测与分类方法

针对现有虹膜识别系统中全局纹理特征提取方法忽略了纹理类型信息的问题,提出了一种针对全局性纹理中虹膜色素块的检测与分类方法.该方法利用灰度聚类法实现虹膜图像中色素块可能存在区域的初定位,依据坑洞和色素斑这两类色素块的灰度空间分布特性,定义一组区域特征参数作为分类特征向量,利用支持向量机实现二者的检测与分类.算法对图库中图像的坑洞和色素斑的检测正确率分别为99.2%和86.5%,对无特征纹理存在的虹膜图像检测正确率为87.2%.实验结果表明,该方法具有较高的正确率,能够满足虹膜识别系统的纹理特征提取要求.