Numerical simulation of scattering from three-dimensional randomlyrough surfaces

Randomly rough surface patches in three dimensions are generated on the computer. The FD-TD method is used to compute scattering from surface patches by converting the Maxwell's equations into difference equations using a central difference approximation for the space and time derivatives. The volume of grids above the rough surface is divided into the total field and the scattered field regions. In between these two regions, obliquely incident waves are generated. To reduce computation, the volume of grids is chosen to be small, and a transformation is used to convert the scattered field into far zone fields for bistatic scattering coefficient calculations. Possible errors near the edge of the surface due to the use of a relatively small volume are suppressed by introducing a windowing function. Very good agreements are obtained between the results obtained by this method and those calculated by an integral equation method (IEM) for scattering from randomly rough perfectly conducting and dielectric surfaces     

A dynamic learning neural network for remote sensing applications

The neural network learning process is to adjust the network weights to adapt the selected training data. Based on the polynomial basis function (PBF) modeled neural network that is a modified multilayer perceptrons (MLP) network, a dynamic learning algorithm (DL) is proposed. The presented learning algorithm makes use of the Kalman filtering technique to update the network weights, in the sense that the stochastic characteristics of incoming data sets are implicitly incorporated into the network. The Kalman gains which represent the learning rates of the network weights updating are calculated by using the U-D factorization. By concatenating all of the network weights at each layer to form a long vector such that it can be updated without propagating back, the proposed algorithm improves the performance of convergence to which the backpropagation (BP) learning algorithm often suffers. Numerical illustrations are carried out using two categories of problems: multispectral imagery classification and surface parameters inversion. Results indicates the use of Kalman filtering algorithm not only substantially increases the convergence rate in the learning stage, but also enhances the separability for highly nonlinear boundaries problems, as compared to BP algorithm, suggesting that the proposed DL neural network provides a practical and potential tool for remote sensing applications     

Modeling of large-scale complex re-entrant manufacturing systems by extended object-oriented Petri nets

In this paper we propose an extended object-oriented Petri nets (EOPNs) for effective modeling of large-scale complex re-entrant manufacturing systems (ReMSs). To cope with their complexity because of the re-entrant process route and the mixed production mode, a special type of transition called a main-bus gate (MBG) is introduced, which can cause products to undergo every re-entrant manufacturing stage. A hierarchical approach is also applied to cope with the complexity. As a typical large-scale complex ReMS, the semiconductor wafer fabrication system (SWFS) is taken as an example for demonstrating the proposed EOPNs. A case study is provided to show the modelling procedures, and the resulting model validates that the EOPNs can cope well with the modelling complexity of large-scale complex ReMSs.     

Dynamic responses of a precision positioning table impacted by a soft-mounted piezoelectric actuator

The piezoelectric actuator, lead zirconate titanate (PZT) actuator, has been used for precision positioning from micrometer down to nanometer scale. In this paper, a soft-mounted PZT actuator is designed with a low-stiffness spring element to achieve a high-accuracy and large-displacement characteristic in precision positioning motion. The motion of the sliding table, the contact force between the hammer and the sliding table, and the stick-slip frictional force caused by the grinded groove are investigated. The governing equations of the distributed and lumped parameter systems are formulated to obtain the dynamic responses, which agree well with the experimental results.     

Using the modified PSO method to identify a Scott-Russell mechanism actuated by a piezoelectric element

This paper mainly proposes an efficient modified particle swarm optimization (MPSO) method, to identify a Scott-Russell (SR) magnification mechanism driven by a piezoelectric actuator (PA), in which Bouc-Wen model is employed to describe the hysteresis phenomenon. In system identification, we adopt the MPSO to find parameters of the SR mechanism and the PA. This new algorithm is added with “distance” term in the traditional PSO's fitness function to avoid converging to a local optimum. It is found that the MPSO method can obtain optimal high-quality solution, high calculation efficiency, and its feasibility and effectiveness are demonstrated for the modified IEEE 30-bus system. Finally, the comparisons of numerical simulations and experimental results prove that the MPSO identification method for the SR magnification mechanism is feasible.     

全移动副平面机构的运动研究

运用空间机构的自由度计算公式,导出全移动副平面机构的自由度计算公式;通过三杆三移动副、四杆四移动副、五杆五移动副的平面机构分析与计算,说明全移动副平面机构的自由度计算公式的正确性,并指出该公式的使用条件;针对四杆平面全移动副缓冲器的实际应用,分析该缓冲器的自由度计算、效率、正常工作条件等问题.     

Graphic supervisory control of an automatic optical inspection for LED properties

This paper focuses on the development and manufacture of an automated optical inspection (AOI) system for light emitting diode (LED) properties, which include the luminance and forward voltage. We use the concept of graphic supervisory control to combine LabVIEW software and programmable logic controller (PLC) for the motion control. By connecting the analog input block, PLC would read the forward voltage to judge whether this value is too large or not. In LED optical inspection, LabVIEW software is employed to coordinate charge coupled device (CCD) camera interface in acquiring data and processing image analysis. The LED luminance is inspected according to whether or not it achieves the desired standard pixels of binary morphologic area. In the inspection process, LEDs quickly advance on rail, and a pneumatic cylinder will sort them into different storages by PLC. The system characteristics mainly include automated platform control and imaging inspection. From experiments, the LED inspection speed could achieve 40-45 pieces per minute. For luminance inspection, the rate of accuracy approaches 100% when the inspection in a dark room or the brightness of exterior environments is fixed.     

An Improved Fourier Five-Sensor (IF5S) method for separating straightness and yawing errors of a linear slide based on multiple sensor parameter sets and least square regression technique

In this paper, an Improved Fourier Five-Sensor (IF5S) measurement method is proposed for separating the straightness and yawing motion errors as well as determining the profile of a linear slide. The previous F5S method [3] used the constant parameters initially to estimate the profile function based on three sensor equations for different angle ranges. The profile estimation and error separation are implemented via an iterative method which can only yield acceptably accurate results with tremendous computational efforts. Here, the improved F5S method applies the least square regression technique instead of the iterative method to estimate the profile functions by using three distinct sets of parameters and different fused sensor data according to the travel of the linear slide. Various errors can then be separated based on the calculated profile function. Simulation results confirm that the IF5S method provides better performance and effectiveness as compared to the previous F5S method.     

全移动副机构的杆组型综合

导出全移动副机构中杆组的构件数与移动副数匹配关系,从而确定全移动副杆组的构型;并应用连杆组合数值计算方法确定了杆组中各元连杆数、外运动副数及环数之间的关系,提出了杆组的特征值的概念。为开拓全移动副机构的杆组的构型建立了理论基础。运用杆组拓扑图清晰、简捷、快速地确定出1~4杆组及其异构体共15种构型。该法对于n杆组的构建也是有效的。     

Applications of capillary electrophoresis in DNA mutation analysis of genetic disorders

AIM: To facilitate DNA mutation analysis by use of capillary electrophoresis. METHODS: The usefulness and applications of capillary electrophoresis in DNA fragment sizing and sequencing were evaluated. RESULTS: DNA mutation testing in disorders such as cystic fibrosis, Huntington disease, alpha thalassaemia, and hereditary fructose intolerance were undertaken effectively. However, sizing the (CAG)n repeat in the case of Huntington disease was a potential problem when using capillary electrophoresis. Separation polymers used in capillary electrophoresis are still in the developmental phase, with improved ones being released regularly. CONCLUSIONS: In the DNA diagnostic setting, capillary electrophoresis is a valuable development because it expands the scope for automation and has useful analytical properties. The potential to perform complex multiplexing within one electrophoresis run facilitates DNA diagnosis. The different mobility of DNA fragments in capillary electrophoresis compared with conventional gel electrophoresis will require, in some circumstances, additional care when results are being interpreted or reported. Capillary electrophoresis is a cheap alternative for combined automated sequencing and fragment analysis that utilises multicolour fluorescence capability. However, in its present form, it is not useful for large scale sequencing.