MOTION OF TRACER PARTICLES IN A CENTRIFUGAL PUMP AND ITS TRACKING CHARACTERISTICS

The Basset-Boussinesq-Oseen (BBO) equation can be used for most flows to trace the motion of a particle, but in a centrifugal pump, among the forces that act on the particles, one should also include those due to the impeller rotation, as additional effects. This paper firstly reviews various approximations of the BBO equation for the motion of dispersion particles in a viscous fluid. Then based on the motion equation for particles in low Reynolds number centrifugal pumps, a formula for calculating the tracking characteristics of tracer particles is deduced through the Fourier integral transformation. After that the deviations of the particle motion from the fluid motion, as predicted by the various approximations, are discussed and compared. At last, with an emphasis on the Particle Image Velocimetry (PIV) results, the tracking characteristics of particles are estimated. Also, advantages and disadvantages of different tracer particles are discussed and suitable tracer particles for application in PIV studies for flow fields in centrifugal pumps are suggested.     

Cognitive conflict in human-automation interactions: a psychophysiological study

The review of literature in sociology and distributed artificial intelligence reveals that the occurrence of conflict is a remarkable precursor to the disruption of multi-agent systems. The study of this concept could be applied to human factors concerns, as man-system conflict appears to provoke perseveration behavior and to degrade attentional abilities with a trend to excessive focus. Once entangled in such conflicts, the human operator will do anything to succeed in his current goal even if it jeopardizes the mission. In order to confirm these findings, an experimental setup, composed of a real unmanned ground vehicle, a ground station is developed. A scenario involving an authority conflict between the participants and the robot is proposed. Analysis of the effects of the conflict on the participants' cognition and arousal is assessed through heart-rate measurement (reflecting stress level) and eye-tracking techniques (index of attentional focus). Our results clearly show that the occurrence of the conflict leads to perseveration behavior and can induce higher heart rate as well as excessive attentional focus. These results are discussed in terms of task commitment issues and increased arousal. Moreover, our results suggest that individual differences may predict susceptibility to perseveration behavior.     

Does fatigue exist in a quantitative measurement of eye movements?

Abstract

The measurement system for quantitative analysis of eye movements and distribution of eye fixation points was developed through the study. Experiments on physiological fatigue characteristics of eye movements were studied using the system. The subjects involved in the study were six young males. No significant change was quantitatively found in saccadic eye movements during and/or after five hours of rapid eye tracking tasks. The saccadic velocity of two subjects were found in binocular decreased temporarily. The maximum velocity of eye movements obtained in the present experiment was ascertained in order to produce a scale for various visual work as an ergonomic index.     

拥挤场景中对多个人的检测和跟踪技术研究

不同于单个目标的检测, 拥挤场景中多个目标的检测和跟踪有其复杂性和特殊性.基于拥挤场景中多个人的检测和跟踪技术最新的研究成果, 对检测和跟踪的系统框架、主要方法、实验数据集、性能度量等进行了综述, 指出了拥挤场景中人的检测和跟踪技术存在的主要困难和关键问题, 以及今后的研究方向.     

噪声环境下智能机器人语音控制特征提取方法

针对机器人的应用场合通常存在各种噪声干扰的问题,提出了一种基于稀疏编码的语音特征提取方法.利用稀疏编码能稀疏表示语音的特性,在梅尔频域对语音增强后提取特征,将稀疏去噪与语音特征提取相融合,实现了混噪语音的有效补偿.在预设场景中的实验结果表明,与现有特征提取方法相比,所提出的语音特征提取方法能有效降低噪声对语音特征的影响,提高机器人语音控制的性能.     

计算力矩法的CMAC同步轨迹跟踪控制与仿真

为了平面二自由度冗余驱动并联机器人更好地跟踪目标轨迹,在已有计算力矩控制的基础上加入CMAC神经网络作为补偿.CMAC结构中,轨迹跟踪误差与同步误差构造的耦合误差及其变化率组成网络的输入,经过学习后得到补偿力矩.Matlab的仿真结果表明:加入了CMAC网络补偿后,轨迹的跟踪误差与支链的同步误差都能够收敛到0,与经典的计算力矩法比较,精度有较大的提升.在计算力矩法的基础上加入CMAC网络,确实能够实现目标轨迹精确的同步跟踪.     

风电机组网侧逆变器实时电流跟踪法谐波抑制

为解决异步风力发电机网侧逆变器接入带有非线性负载的电网时存在谐波干扰的问题,采用一种改进的并网逆变器实时电流跟踪谐波抑制方法,建立了风力发电机网侧并网逆变器电压矢量、电流跟踪和扰动的数学模型以及控制系统的谐波电流实时跟踪仿真模型.利用Matlab/Simulink对带非线性负载的并网逆变器控制系统进行电流跟踪谐波抑制仿真,并研究逆变器离网独立运行时对负载的供能过程.仿真结果表明,该实时电流跟踪谐波抑制方法具有良好的跟踪性能和抗扰性能,与传统谐波抑制方法相比具有较强的鲁棒性,为深入研究整个系统的并网逆变以及搭建实验平台提供了依据.     

改进的快速自适应分块均值漂移算法

为了实现复杂情况下的目标跟踪,该文提出了改进的自适应分块策略。通过主分量分析的方法确定不同时刻帧的矩形框大小,然后在不同的情况下根据一定的条件,决定不同的分块方法,从而提高目标在旋转、遮挡、缩放等复杂环境下的跟踪成功率。同时,为了减少寻找目标的时间,该文还提出两帧法,即通过前两帧计算出的质心象素点的个数差,快速预测并确定当前帧中目标可能的质心位置。实验表明,这两种方法相结合不仅有效提高了跟踪的成功率,而且减少了迭代次数,提高了算法的跟踪效率。     

Novel reconstruction method for frequency-hopping signals

The reconstruction of the Frequency Hopping(FH) signal is studied in the noise environment. After analyzing the sparse characteristics of the FH signal at the receiving end, an atomic decomposition is constructed based on the parameters of the FH signal.Then a signal reconstruction method for the FH signal is presented based on the Generalized Regularized FOCUSS Algorithm. By choosing the proper regular parameter, the FH signal is reconstructed in the noise environmet. Simulation results demonstrate that the method is correct and effective.     

Compressive sensing with sparse domain division using probability

With the development of Compressive Sensing theory in recent years, many new algorithms have been introduced to this field. But still, these algorithms tend to judge the probability of the nonzero signal in each position of the sparse domain as the same, which is in fact not true. In this topic we discuss orthogonal coefficient distribution and divide the whole sparse domain into different parts using probability. With the method called Sparse domain Division using Probability (SDP), the reconstructed speed would increase 20～60 times without producing any negative effect on image quality at the same sampling rate.