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A colony algorithm is a new kind of simulated evolutionary algorithm, which is widely applied to optimization problems, but it has the limitation like other evolutionary algorithms. To avoid the limitation, an improved ant colony optimization algorithm is introduced to solve the traveling agent problem, which is responsible for planning out an optimal migration strategy when agents migrate to several...
The paper presents a Photovoltaic (PV) Inverter System based on TMS320F28027 that can not only achieve single phase DC/AC converting by a full-bridge inverter, but also realize the function of same phase-frequency between sine waveform generated from PV Inverter System and the reference waveform from grid. Furthermore, the single phase DC/VC converting is controlled by means of SPWM generated by taking...
It is known that digital images are frequently corrupted by impulse noise due to errors generated in camera sensors, analog-to-digital conversion and communication channels. Therefore, it is imperative to remove impulse noise in order to facilitate the subsequent processing such as edge detection, segmentation, analysis, and pattern recognition etc. Many linear and nonlinear filtering techniques have...
A new image scrambling method is proposed in this paper. It is based on a folding transform with folding matrix which is orthogonal and enables us to fold images either up-down or left-right. When an image is folded through this way repeatedly, it becomes scrambled. The experimental results demonstrate that the proposed image scrambling algorithm has effective hiding ability for image information...
Using GIS technology and the slope stability algorithm, the landslide stability system realizes intellectualized slope monitor calculation. The system can call lots of mainstream limit equilibrium analysis algorithms, read charts and calculate with computer, greatly reduce the influence of errors, and improve the accuracy of the final result, provide reliable basis for monitors. The system is developed...
Ant colony optimization(ACO) provides an effective way to solve combinatorial optimization problem. However, with the complexity of the problem increasing, the ACO algorithm needs considerable computational time and resources to improve the good quality of solution, and this rarely satisfies the requirement of real-time computing in M&S (Modeling and Simulation) area. Parallel implementation of...
With rapid development of modern intelligent traffic management, the measuring speed radar becomes an important device. Using Doppler principle, speed can be measured by obtaining frequency deviation signal of moving target. Traditional measuring speed method uses analog filter whose measuring accuracy is low and measuring speed is slow, so it's difficult to meet the requirements of modern intelligent...
GIS software requires the ability to simplify polyline features in real-time when displaying linear vector data with plenty of vertices. The Douglas-Peucker polyline simplification algorithm has been widely adopted in this area for decades, though it is often criticized for its low performance when exist a large number of vertices on a polyline which should be subdivided into many separate segments...
For a deficiency of classic algorithm in constructing motion graph, we propose an improved algorithm and further apply motion graph to the intelligent obstacle avoidance of virtual human. First of all, we introduce an approach for acquiring real human motion data by our active optical motion capture system and solving some related problems we have encountered. Secondly, we present and analyze the...
Grid partition of geometry model in finite element analysis results in massive redundant geometry points, comprising of point cloud, which is tend to be rendered in various aspects to analyze result in the post-processing. In order to deal with point cloud in real-time application, a novel algorithm is presented to simplify the redundant data and reconstruct the surface of geometry model from point...
With the informationization of mechanical devices, high precision sensors have been widely applied to all kinds of mechanical devices for the information gathering. However, as the sensors are produced by various research centers and manufacturers, there is a considerable difficulty in examining and identifying the sensors. In this article, A new intelligent analysis model based on BP+GA algorithms...
Based on the analysis of features and reasoning course of LMBP(Levenberg-Marquardt) algorithm, we propose the way of variable learning rate to improve the convergence speed. Using some literature data of reference standard database and program MATLAB simulation experiment, it shows that this improved the feasibility and effectiveness LMBP algorithm. Improving LMBP algorithm offers important reference...
JZQ250 gear box is studied in order to make real-time monitoring and fault diagnostics for the gearbox in engineering. With dynamic maximum speed limit set in particle swarm optimization (PSO), a method of diagnosing the gearbox's fault, i.e., the adaptive collaborative weighted velocity PSO (WVPSO) is suggested to train BP neural network. The fault diagnosis is made with the monitoring characteristic...
Texture synthesis is widely recognized to be important for computer graphics applications. However, the traditional texture synthesis algorithm based on ω-tile did not provide the quantitative analysis of all sets of ω-tiles. In this paper, all possible sets of 4, 8 and 16 ω-tiles that meet certain criteria are presented firstly. Secondly, a novel evaluation system is proposed to measure the quality...
In this paper, an improved genetic algorithm to solve the unicast routing problem with QoS restrictions is proposed. The proposed algorithm uses real-coded strategy, which has unique crossover strategy, mutation strategy and fitness function, and in addition, the strategy of introducing alien species is adopted in the algorithm, in order to enhance the algorithm's global search ability. The simulation...
In this paper, an audio-frequency stress wave reflection method for engineering evaluation of pile testing is presented. First, the standard samples to train the system and extract module parameters suitable for the measuring environment are selected to detect the defects location and the length of the tested pile; then, the parameters are inputted into the hybrid model based on the FFT analysis,...
Based on neural network, this work is to investigate one control technique of micro hard disk dual-stage servo systems, due to the difficulty that single-stage control techniques suppress noisy disturbance hardly. Firstly, the models of the voice coil motor and micro-actuator are identified by means of BP network and Elman network, respectively; secondly, the controllers of these two models are designed...
Since there exists the possibility for the parallel tasks in the structure of graph DAG to be executed sequentially due to the problem of Cache's False Sharing in muti-core CPU environment, this paper presents parallel task scheduling algorithm for DAG which could eliminate some of the occurrences of Cache's False Sharing. This algorithm which is an expansion of usual DAG task scheduling algorithm...
In this paper, an acoustic imaging algorithm based on acoustic array Multiple-Input Multiple-Output (MIMO) and Multiple Signal Classification (MUSIC) by location algorithm fusion is proposed to realize Three Dimension (3D) location estimation and display for future mobile system. By combined with MIMO beam estimation and MUSIC estimation algorithm, the location fusion algorithm with 3D display advantage...
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