Image denoising is one of the classical problems in digital image processing, and has been studied for nearly half a century due to its important role as a pre-processing step in various image applications. In this work, a denoising algorithm based on Kalman filtering was used to improve natural image quality. We have studied noise reduction methods using a hybrid Kalman filter with an autoregressive moving average (ARMA) model that the coefficients of the AR models for the Kalman filter are calculated by solving for the minimum square error solutions of over-determined linear systems. Experimental results show that as an adaptive method, the algorithm reduces the noise while retaining the image details much better than conventional algorithms.
By adopting a facile solution combustion synthesis (SCS) method, pure well-crystallized (Ba,Sr)MgAl10O17:Mn green phosphors were successfully prepared. The crystallinity, particle size, morphology, and luminescent properties were characterized by XRD, FE-SEM and spectrofluorometer respectively. The results indicated that the obtained phosphors have spherical morphology, good crystallinity, and strong green emission. The emission spectra of obtained nanophosphor on 147nm excitation consist of a wide band with the peak at 518nm, which corresponds to the transition from the 3d5(4T1g) excited state to the 3d5(6A1g) ground state of Mn2+. The synthesized phosphors can be efficiently excited at VUV light and have potential application in Plasma Display Panels (PDPs), 3D displays and mercury-free fluorescent lamps
A weighing instrument system embedded multifunctional intelligent has been developped, and a compensation method proposed to improve the measurement accuracy of the system performance. Weighing instrument took embedded computer as the core, used the logic processing of the powerful FPGA, USB interface data communication function connecting to the PC machine to build host/slave system. Dynamically compensate in the series compensation link to solve the system of nonlinear strength, poor dynamic performance of sensor, short the time to reach the steady state for the whole measurement system. Results show that the system is suitable for the requirement of fast measurement, effectively improve the accuracy and reliability.
In this paper, the characteristics of shape memory alloy (SMA) valveless micro-pump and its work principles are introduced at first. Based on the flow property of diffusion and shrinkage elements, the theory analysis is developed for a valveless micropump, and the flow distribution and pressure variation curve are then achieved with Matlab. Meanwhile, the finite model of the valveless micropump is built by using the ANSYS/FLOTRAN CFD finite element software, and coupled-field simulation analysis is carried out. The effects of different geometry parameters of diffusion and shrinkage elements on the pump performance are simulated and analyzed. The results show the valveless micropump working principle is mainly based on the flow difference of diffusion and shrinkage elements and its output characteristics are related to the geometry parameters. These results are helpful to design the optimal valveless micropump.
A virtual instrument which has the function of data acquisition, displaying and saving, time domain analysis, frequency domain analysis and so on is developed successfully. It combines the developed VI software Labview with the software Star for modal analysis,and makes program for controlling the data acquisition card,to generate a file with a fixed data format,and applies this file in Star System to complete the experiment of modal analysis. In using VI (virtual instrument) for modal analysis of mechanical structure the system realizes data collection、save、display、analysis and processing. From actual working we can make a conclusion that it has the advantage of low-cost, stability, high rate, efficiency and reliability.
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