Most of solving method for reliability growth model parameters is to structure maximum likelihood function and extremum on the likelihood function. When the maximum likelihood method is adopted for the evaluation and optimization of parameter, because of the effect of iterative initial value, the classical one is not easy to converge to the global optimal solution. Evolutionary programming (EP) algorithm used in this paper , its feature is to establish the fitness function, find great value point to determine optimization model of the parameters optimal solution, and it is not necessary to find extreme value and estimate initial value of the optimization variable to obtain global approximate optimal solution. In order to better ensure global optimal solution, to further ensure the accuracy of the equations, a parallel operation and retain the best individual and other methods are used in evolutionary programming algorithm. The new method for solving the optimization parameters can achieve a better balance in the solving efficiency and convergence performance and better combined optimization methods with maximum likelihood estimation method. The validity and correctness of the optimization method is verified in the last of the paper through the experimental data in the reliability growth process of a solid rocket motor.
In printing, textile, paint, ink, and some other industries, it is often needed to determine the color change of the dye. Detecting these subtle changes has been the industry's difficulties. This paper presents a multi-color space feature fusion method in tiny color difference processing. This approach uses different color of weighted, evaluating to the feature performance of similar color in different color spaces, from which extracting a number of optimal features, and then wavelet analysis algorithm is used in multiple features fusion, different color images can be got. The results show that the fused image has higher contrast ratio than original image and monochromatic spatial images, the characteristics of similar color vision has grown enormously, and proposed a new color difference formula. This method provided a new way for tiny color difference processing.
The variability of human observers and differences in the cone photoreceptor sensitivities are important to understand and quantify in the context of Color Science research. Differences in human cone sensitivity may cause two observers to see different colors on the same display. Technicolor SA built a prototype instrument that allows classification of an observer with normal color vision into a small number of color vision categories. The instrument is used in color critical applications for displaying colors to human observers. To facilitate Color Science research, an Observer Calibrator is being designed and built. This instrument is modeled on one developed at Technicolor, but with improvements including providing higher luminance levels to the observers, a more robust MATLAB computer interface, two sets of individually controlled LED primaries, and the potential for interchangeable optical front ends to present the color stimuli to observers. The new prototype is lightweight, inexpensive, stable, and easy to calibrate and use. Human observers can view the difference between two displayed colors, or match one existing color by adjusting one LED primary set. The use of the new prototype will create opportunities for further color science research and will provide an improved experiment experience for participating observers.
So far, there is a question about the existing study of electromagnetic relay's life prediction :they mainly focused on the research of batch products as a whole, which cannot reflect individual differences. This paper proposes one kind of way about the the life prediction of electromagnetic relay based on Bayesian method. Firstly, a prior distribution of the model parameters is determined on the basis of the determined degradation model. Then, the degradation data (contact resistance) based on the prior distribution is fused, and the parameters of the degenerate trajectory model are updated to obtain the reliability function. Finally, we can predict the lifetime of a single electromagnetic relay. The results show that the lifetime prediction of a single electromagnetic relay is realized by the Bayesian method, in which the No.10 electromagnetic relay predicts the life of the electromagnetic relay to be 1.28×105 times and the relative error is 0.06 for the test lifetime value is 1.21×105 times under the condition of a reliability of 90%. The feasibility of predicting the lifetime of a single electromagnetic relay using fusion degradation data is verified.
During the NIR spectral analysis to quickly determine concentrations of essential components of milk, spectral region is wider, peaks are overlap, and searching space is larger, spectrum acquiring often subjects to interference coming from environmental noise and interference of other components, so it is necessary to make optimum selecting to wavelength variables. In this paper, for concentration of protein in milk samples, Uninformative Variable Elimination (UVE) method is used to make optimum selecting to wavelength variables, and the selected wavelengths are taken as the input variables to build PLS model. Prediction results of PLS model built after processed by the UVE method is respectively compared with results of the PLS model by Genetic Algorithms (GA) method and results of the PLS model without making wavelength variable selection. The result shows that the UVE-PLS model has great advantage comparing with the GA-PLS model, and using the UVE method to select the wavelength variable of milk spectrum can make variable numbers for the final PLS model become smaller, redundant information become minimize, robustness of model become steady, and testing time of spectrum acquiring become shorter.
Intermetallic compounds (IMC) are found in the dual-layer composite, such as Si/Cu composite in multilayer semiconductor structures, and are often ignored in simulations that aim to predict the mechanical properties. The interface model of Si/Cu composites with different thickness of IMC layer is first established by molecular dynamics simulation. Then this study analyzed the elastoplastic behavior and adhesion behavior of the Si/Cu interface and the effect of IMC on the fracture properties. The simulation results demonstrate that the Si/Cu interface fails in a quasi-brittle fracture mode. The crack propagates along the interface between Si and the IMC layer. An apparent dislocation emission and large plastic deformation are found exclusively in the Cu layer. The thickness of the IMC layer increased from 2 to 10 Å, and the critical strain energy release rate increased from 14.48 J/m2 to 19.76 J/m2, while the equivalent modulus is not increase monotonically. Therefore, the IMC is of high significance for predicting the mechanical properties of the dual-layer composite.
This paper investigates how the number of terms used in a multi-term Debye material model impact the accuracy of the computed complex propagation constant in low loss printed circuit boards.
Abstract With the development of information technology, the functions provided by computer digital technology are more and more widely used in the process of landscape architecture design. The application of visualization technology in landscape planning and design provides a powerful help for us to understand the characteristics and behaviors of the objective existence of the world. From the perspective of landscape architecture design, this paper makes an in-depth study of the construction mode of landscape information model, and puts forward the process of landscape information model construction and its corresponding functional characteristics in combination with relevant research status at home and abroad, so as to perfectly combine theory with practice.
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