Rapid determination of farinograph parameters of wheat flour using data fusion and a forward interval variable selection algorithm

Any vehicle such as vessel has three attitude parameters, which are mostly defined as pitch, roll, and heading from true north. In hydrographic surveying, determination of these parameters by using GPS or INS technologies is essential for the requirements of vehicle measurements. Recently, integration of GPS/INS by using data fusion algorithm became more and more popular. Therefore, the data fusion algorithm plays an important role in vehicle attitude determination. To improve attitude determination accuracy and efficiency, two improved data fusion algorithms are presented, which are extended Kalman particle filter (EKPF) and genetic particle filter (GPF). EKPF algorithm combines particle filter (PF) with the extended Kalman filter (EKF) to avoid sample impoverishment during the resampling process. GPF is based on genetic algorithm and PF; several genetic operators such as selection, crossover, and mutation are adopted to optimize the resampling process of PF, which can not only reduce the particle impoverishment but also improve the computation efficiency. The performances of the system based on the two proposed algorithms are analyzed and compared with traditional KF. Simulation results show that, comprehensively considering the determination accuracy and consumption cost, the performance of the proposed GPF is better than EKPF and traditional KF.

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Simultaneous and rapid determination of deoxynivalenol and its acetylate derivatives in wheat flour and rice by ultra high performance liquid chromatography with photo diode array detection

Journal of Separation Science ◽

10.1002/jssc.201501316 ◽

2016 ◽

Vol 39 (11) ◽

pp. 2028-2035 ◽

Cited By ~ 13

Author(s):

Jiao-Jiao Xu ◽

Jian Zhou ◽

Bai-Fen Huang ◽

Zeng-Xuan Cai ◽

Xiao-Min Xu ◽

...

Keyword(s):

High Performance Liquid Chromatography ◽

Liquid Chromatography ◽

Wheat Flour ◽

High Performance ◽

Rapid Determination ◽

Diode Array ◽

Diode Array Detection ◽

Photo Diode ◽

Array Detection

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Comparison and optimization of models for SSC on-line determination of intact apple using efficient spectrum optimization and variable selection algorithm

Infrared Physics & Technology ◽

10.1016/j.infrared.2019.102979 ◽

2019 ◽

Vol 102 ◽

pp. 102979 ◽

Cited By ~ 8

Author(s):

Xi Tian ◽

Shuxiang Fan ◽

Jiangbo Li ◽

Yu Xia ◽

Wenqian Huang ◽

...

Keyword(s):

Variable Selection ◽

Selection Algorithm ◽

Spectrum Optimization ◽

On Line

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Weak Beam Imaging and Diffraction Studies of Stacking Faults in Silicon

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100092918 ◽

1976 ◽

Vol 34 ◽

pp. 590-591

Author(s):

T. Y. Tan ◽

W. K. Tice

Keyword(s):

Fast Neutron ◽

Rapid Determination ◽

Stacking Faults ◽

Imaging Method ◽

Large Reduction ◽

Dislocation Loops ◽

Fringe Spacing ◽

Weak Beam ◽

Kinematical Theory

In studying ion implanted semiconductors and fast neutron irradiated metals, the need for characterizing small dislocation loops having diameters of a few hundred angstrom units usually arises. The weak beam imaging method is a powerful technique for analyzing these loops. Because of the large reduction in stacking fault (SF) fringe spacing at large sg, this method allows for a rapid determination of whether the loop is faulted, and, hence, whether it is a perfect or a Frank partial loop. This method was first used by Bicknell to image small faulted loops in boron implanted silicon. He explained the fringe spacing by kinematical theory, i.e., ≃l/(Sg) in the fault fringe in depth oscillation. The fault image contrast formation mechanism is, however, really more complicated.

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