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Bus dynamics is analyzed and 4 degrees of freedom dynamics model is established according to basic dynamic characteristics of bus. The corresponding computer simulation program is developed by using Matlab software. From practical view, structural parameters which are impacted by bus maneuverability and stability such as tire cornering stiffness, steering wheel rotational inertia, steering transmission...
We present an innovative flexible computation support service for financial risk management. Commercial bank faces a higher requirement on quantitative risk management from Basel II accord. In practice, quantitative risk computation needs both the internal and external data, and the risk calculation models and corresponding parameters should be updated for a periods of time. To deal with these challenges,...
In this paper, methods of statistical analysis, comprehensive evaluation and GIS spatial analysis will be used to explore a method for village distribution optimization. Process of village distribution optimization is divided as the following three steps. Firstly, development potentialities of villages are evaluated. Secondly, central villages and inferior villages are determined by means of GIS analysis...
A modeling method of motion-function is presented to represent the motion in detection of video images within the physical and motional characters of body. It concentrates on the characters of video surveillance, with the examples of walking videos, and results in walking functions by extracting and dealing with the data from the experiments. On this basis, more experiments are required to validate...
Motion of particles in two-phase flow between two rotary pads is simulated with coupled lattice Boltzmann method (LBM) and discrete element method (DEM), in which the LBM is used for calculating the fluid flow, while the DEM for accounting for the interaction between the moving particles, both the particles and the pads are constructed by the 'boundary' in LBM. Numerically, flow field on the down-pad...
How to effectively monitor water quality of Coastal and inland waters by optical remote sensing has always been a difficulty. This study develops a neural network model to improve the accuracy in monitoring water quality of Lake Taihu, China, a large shallow subtropical lake. A three-layer back-propagation neural network is built up to estimate concentrations of chlorophyll-a, total suspended matter...
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