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The micro-structure of a neural network is known to have great influence on its macro-dynamic behaviors. For sake of imitating the inherent characteristics of small-world property discovered in biological neural system and human intelligence of associative memory via integrating geometrical structure information, an efficient method for designing associative memory neural network with contextual small-world...
Path planning technology is one of the important problems in intelligent robot. Firstly, based on the characteristics of intelligent mowing robot and traditional circuitous path planning algorithm, a new "p-d" circuitous path planning algorithm was proposed in the rectangular work region, which solves the problem of the best mowing coverage. Then the geographic coordinate system was transformed...
This paper describes a protocol for systematically evaluating the performance of dashed-line detection algorithms. It includes a test image generator which creates random line patterns subject to prespecified constraints. The generator also outputs ground truth data for each line in the image. The output of the dashed line detection algorithm is then compared to these ground truths and evaluated using...
An algorithm of imaging simulation of fog with different visibility basing on single image input was proposed. It includes three steps: (1) the defocus map is obtained firstly from the single image input, and then converted to the depth map according to the theory of lens imaging; (2) the depth map is converted into a transmittance map by using a correlation equation; (3) the fog simulation image...
In this paper, an ODDM using the JMCFIE formulation is built for solving EM scattering from electrically large homogeneous dielectric objects whose MLFMA models are too large for the user's computer to accommodate. This ODDM has stronger convergence property than the existing ODDM in the literature for the same purpose. Numerical examples are provided to demonstrate both the correctness and performance...
In this paper, a hybrid algorithm of the MLFMA and the FGG-FG-FFT is proposed for fast analysis of multiscale EM scattering from electrically large PEC objects. For multiscale problems, both the MLFMA and the FGG-FG-FFT have their own disadvantages. However, the hybrid algorithm can more easily deal with multiscale problems, leading to higher efficiency than either of these two algorithms. Numerical...
In this paper, the volume integral equation (VIE) combined with overlapping domain decomposition method (ODDM) is presented for analysis of electromagnetic (EM) scattering from inhomogeneous anisotropic nonmagnetic dielectric objects. Discretizing a volumetric domain of electrically large size by using tetrahedra usually produces too many unknowns for the traditional VIE-MoM to accommodate. However,...
Urban lane detection is an essential task for unmanned vehicle system. This paper describes an approach of lane detection algorithm based on Inverse Perspective Mapping, first using overall optimal threshold method to obtain binary image for reducing noise; next using Inverse Perspective Mapping to transform binary image space to top view space; then using k-means clustering algorithm to analysis...
In this paper, an IE-ODDM with higher-order hierarchical Legendre basis functions is proposed for solving the scattering from an electrically large PEC object. Because higher-order basis functions are employed, the sizes of the meshes can be selected larger. Thence, even though the area of each subdomain is relatively larger, the number of unknowns involved in the subdomain is relatively smaller compared...
A novel sparsely connected associative memory model with adaptive topology through annealed dilution is proposed in this paper. Aimed at overcoming the disadvantage of quenched dilution as random synapses disconnection of the existing methods, this new model takes the ideology of annealed dilution into account, and investigates the optimal synaptic dilution strategy under the constraints of limited...
The multilevel fast multipole algorithm (MLFMA) has been used in calculating electromagnetic scatterings from electrically large objects. The octree structure plays an important role in the MLFMA. However, in the multi-resolution case, a single octree structure may produce a larger near-field matrix. In this paper, in order to overcome this shortcoming to a certain extent, a hybrid tree structure...
The paper presents the architecture of an unmanned vehicle called ‘Intelligent Pioneer’ developed by the authors. The unmanned vehicle has the ability of navigating in urban environments autonomously without GPS or any other satellite navigation system. The vehicle is able to select its own routes by perceive the traffic signs and interact with other vehicles or pedestrians under the traffic rules...
The recognition of traffic signs in natural environment is a challenging problem in computer vision because of the influence of weather conditions, illumination, locations, vandalism and other factors. In this paper, we propose a robust traffic signs recognition system for the real utilization of intelligent vehicles. The proposed system is divided into two phases. In the detection and coarse classification...
Polyaniline nanopaticles for supercapacitor were prepared by using polystyrene microsphere as carrier. They were characterized by FTIR, SEM and TGA for structure and electrochemical station for supercapacitive performance. The results show that, the polystyrene-polyaniline composite, about 4∼5 µm, keep the microsphere structure of polystyrene, and was covered on its surface with polyaniline nanoparticle...
Mesoporous cobalt oxide has been successfully synthesized by a facile chemical precipitation method assisted by cetyltrimethylammonium bromide (CTAB) micelles. Electrochemical characterization is performed using cyclic voltammetry, chronopotentiometry and impedance spectroscopy, respectively. The results indicate that the prepared cobalt oxide has excellent electrochemical properties. A maximum specific...
In order to make bio-robots navigation operation guided by remote control much easier, taking SD rats as an example, we develop a new locomotion control scheme to guide a rat to finish a task that the rat is placed by experimenters at one point and it tries to arrive at a goal point by itself in a room. Both points are given arbitrarily. At first the article analyses the problems we meet when it moves...
This paper uses back propagation (BP) neural network to modify manual observing system data to automatic observing system data in wind speed data. First, we prepare six factors which are wind speed data six hours ahead to one hour ahead as input data. The tests indict when these factors selected, the modify results are better than others. The training data used for the neural network is the data from...
In this study, soil samples (0-20 cm depth)were taken from the same test fields of Henan Institute of Science and Technology in order to determine the effects of dimethomorph on enzymes activities of soils. Basal soil catalase activity (CA) and urease (UA) enzyme activities, the results showed that high dose of dimethomorph introduced into soil had an significant effect on soil enzymatic activities,...
In this short paper, a shared memory-based parallel out-of-core LU solver for matrix equations is presented and applied to solve MoM matrix equations of EM scattering on an ordinary multi-core computer. The pseudo-code of the solver is given and implemented in C++ on Microsoft's VS2005 platform by the help of OpenMP. Three numerical examples in EM problems are provided to test the capability of the...
The 2-level adaptive integral method is represented in this paper. Two level grids and two level boxes are built for calculating relatively nearer interaction and relatively farer interaction. This algorithm can be used to calculate larger object than the AIM. The last numerical result suggests that the proposed method is efficient and accurate.
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