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Adaptive dynamic programming (ADP) is a prevalent way to solve the coupled Hamilton-Jacobi-Bellman (HJB) equations of the optimal consensus control for multi-agent systems (MAS). Neural networks (NNs) are normally used to approximate the value functions in ADP. However, NNs with manually designed features may influence the approximation ability. In this study, kernel-based methods which do not need...
Recommender systems are designed to solve the overload information. Collaborative filtering based on the entire user network is by far most widely recommended algorithm, but it produced large amounts of operational data and it has difficulty to analyze characteristics of products and deal with data sparsity problem. To solve this problem, we employed a hybrid recommendation model which combined the...
Array processing, such as micro structure punching, wire bonding of LED array or integrated circuit, laser drilling, is widely used in electronic/optics manufacturing. In the processing, high speed positioning can cause strong excitation on the machine structure, which results in severe structure vibration and long settling time. Especially in multiple target positioning process, vibration exists...
Dispensing is one of the key technologies in LED packaging, as the dispensed underfill can protect the interconnection from short-circled, release the residual stress and adjust color. However, in order to meet different requirements in packaging, various of underfill are used, typically from newton fluid to shear thinning non-newton fluid. The different fluid properties will greatly affect the break-up...
Based on the high lift generated by Weis-Fogh mechanism, two stage wave power electricity generation device is designed, a size objective optimization model of parallel computation is established, the formula of Green function is obtain, and hydrodynamics is calculated by using parallel computer.
The fluid-solid coupling hydrodynamics parallel model of large ship is built based on VOSS mapping theory. The VOSS algorithm of large ship's wave is given, and the control equation and initial boundary conditions are derived from fluid hydrodynamic theory and solid elastic theory. The numerical results show the VOSS transfer of ship fluid-solid coupling wave is not same as coming see wave.
Ship characteristic length directly affects the development plans of the company. Based on the statistical theory, a data categorical statistical model is build for ship length research. The sub division calculation method is given, and the statistical subsection regression is calculated between ship length, time and GDP. At last, The data of ship characteristic length is forecasted for 2020 year.
Near ship water field, computing Green's Function with large parameter is discussed, the differential equation and boundary condition are considered by using Dirac delta function, and analyzing solution is represented as integration. The convergence series is obtain for large parameter, and parallel computing results show that convergence speed is high.
Study on water lubricated rubber bearing has important theoretical significance and applied value in military affairs. This paper builds a low noise composite rubber bearing parallel computing model, and drives the difference equations of bearing displacement. According to the step values, the parallel computing algorithm is given, and the convergence time t varied with time step length is obtained.
To reduce the fossil energy consumption and the operational expenses, the hybrid energy powered cellular network (HybENet) with BSs powered by on-grid or renewable energy is studied. To minimize the total expenses of energy consumption (EEC) and guarantee the quality of service of HybENet, a liquid cell management algorithm, which adaptively and cooperatively adjusts the service coverage of BSs according...
The Probability Hypothesis Density (PHD) filter is an efficient algorithm for multitarget tracking in the presence of nonlinearities and/or non-Gaussian noise. The Sequential Monte Carlo (SMC) and Gaussian Mixture (GM) techniques are commonly used to implement the PHD filter. Recently, a new implementation of the PHD filter using B-splines with the capability to model any arbitrary density functions...
Automatically generating test data to cover a given path is a challenging problem. This paper present a program execution based approach driven by component linear fitting functions. Here, component linear fitting functions built on inputs and values at decision points, are used to approximate constraints. They drive the search to reach constraints' solutions by calculating feasible intervals. Experiments...
DDGS is the major co product generated from the fermentation of grain, but it is high in protein and an inexpensive source of protein. To optimize the extracting process of protein from DDGS, Response surface methodology (RSM) has been developed using the three influential process variables: alkali concentration, extraction time and solid-liquid ratio. The properties of the protein were further investigated...
In view of the present virtual hysteroscopy laparoscopic system problems, combined with various processing algorithms, discussed deeply the key techniques about collision detection, deformation computation, and path planning of virtual hysteroscopy laparoscopy surgery simulator system. Subsequently, these three key techniques involved in the virtual hysteroscopy laparoscopy surgery simulator system...
In order to improve the large-scale hydrogen cooled turbo-generator rotor wedge ventilation performance, reduce rotor axis temperature deviation. According to computation fluid mechanics principle for example hydrogen cooled turbo-generator rotor's half axle ventilation of CFD simulation optimization study. Obtained the structural parameters and structure form of rotor wedge wind performance, for...
How to improve efficiency of learning is always the key issue for implementation of reinforcement learning. This paper makes use of advantages of both hierarchical learning and model-based learning, so that an improved algorithm, named Bayesian-MAXQ learning, is introduced, in which several modifications are developed to solve the value update of hierarchy, while the possible performance damages brought...
In this paper, fuzzy comprehensive evaluation and Matlab combining method is applied to the assessment of cadres, the first divided into four categories based on attributes in each category was divided into four categories, first in the various factors in the implementation of a single judge, and then together to implement a secondary evaluation, and finally given the realization of the Matlab model...
In order to suppress undesirable noises in triangular meshes for quality improvement, an effective smoothing method based on curvature flow is proposed in this paper. For triangular meshes generated from planar contours, the continuity information amongst adjacent contours is utilized to determine whether a vertex represents a geometric feature to preserve or an isolated noise to smooth. Before smoothing...
A smoothing algorithm based on curvature flow is proposed to suppress noises in triangular meshes reconstructed from contours. Geometric features among the mesh are detected, according to which the original mesh is refined adaptively. An isotropic method is used to smooth the refined mesh, making the algorithm straightforward and stable while preserving important geometric features. Experimental results...
In the wire bonding process, different combinations of parameter values will directly affect wire bonding quality. The optimal combination of these parameter values is very important to ensure the overall process quality response. Therefore, it is necessary to investigate the effects and interactive relationship of the bonding parameters on the bonding quality. This paper chooses the response factors...
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