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We present the Berkeley Model and Algorithm Prototyping Platform (MAPP), a MATLAB®-based framework for conveniently and quickly prototyping device compact models and simulation algorithms. MAPP's internal code structuring, which differs markedly from that of Berkeley SPICE and related simulators, allows users to add new devices with only minimal knowledge of simulation algorithms, and vice-versa....
3D visualization of numerical marine forecast data still pose a challenge for oceanographer due to accuracy requirement and the highly complex behaviour of dynamic fluid. Existing ocean surface model simulate dynamics either with parametric/spectral methods or physically-based methods, which still suffer from lacking real world information. In this paper, we propose a novel coarse-to-fine ocean surface...
Consider the two characteristics: (1) Simultaneous localization and mapping (SLAM) is a popular algorithm for autonomous underwater vehicle, but visual SLAM is significantly influenced by weak illumination. (2)Geomagnetism-aided navigation and gravity-aided navigation are equally important methods in the field of vehicle navigation, but both are affected heavily by time-varying noises and terrain...
In order to overcome the shortcomings of the shape from shading (SFS) algorithm in items of clearness and smoothness of silhouette in reconstructed objects, a modified SFS algorithm is proposed in this paper. Firstly, we determine the primary factors affecting reconstruction by analyzing the Lambertian light reflection model. Secondly, we perform image restoration and background smoothing by extracting...
This paper analyzes hybrid FRP-concrete-steel double-skin tubular columns of different lengths based on numerical method. Parametric study is carried out on the parameters including eccentricity ratio, normalized eccentricity, void ratio, diameter-to-thickness ratio, yield strength of steel tube, confinement stiffness ratio and strain ratio, and a simplified formula which can be used in practical...
The military decision maker is typically confronted by the task of checking the operational task temporal collaboration consistency in military planning, and that is a typical temporal reasoning problem. Point Graph (PG) is an efficient method for temporal reasoning. Thus, a PG is modeling for describing operational task temporal collaboration firstly, and then a consistency checking algorithm is...
The prediction of chaotic time series is performed by least square support vector machine (LS-SVM) based on particle swarm optimization (PSO). The main objective of this approach is to increase the accuracy of the chaotic time series prediction. For the generation performance of LS-SVM depending on a good setting of its parameters, PSO is adopted to choose the global optimum parameters of LS-SVM automatically...
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