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We present an algorithm for faring of data point set using the local interpolation. This approach takes three steps. First, we need to compute the tangent vector and discrete curvature of each data points. The next step is to indentify ‘bad’ points and ‘good’ points according to the given rules. The algorithms finally adjust the ‘bad’ points by local fitting based on minimizing the strain energy of...
The Phase-domain (or Universal) line and cable model (ULM) is one of the most advanced in its class. This model is synthesized from frequency-domain transmission line relations in three stages involving rational fitting, state-space analysis and numeric integration. Each one of these stages implies an approximation and this paper presents an evaluation their impact on the accuracy of the final model...
Nighttime traffic flow congestion estimation is a challenging problem, the use of a model for describing the traffic parameters is a good solutions but it is necessary to have an accurate information about the traffic's state before constructing the model. In this paper we propose a new method for developing a road traffic flow model in this challenging situation using accurately measured traffic...
Real-time, accurate and robust target tracking on mobile devices is an important problem which can facilitate applications such as augmented reality. However, it is still unsolved, partly due to the mobile's computing limitations. Compressive tracker performs favorably against state-of-the-art algorithms in terms of efficiency, accuracy and robustness, but as limited by the speed of feature matching,...
This paper considers the accuracy problem of position prediction in high precision leveling systems by using the large inertia motor. Based on the recursive least squares method(RLSM), a stopping curve estimate approach is proposed. By using the curve estimate approach, we put the resistance torque of the load, the friction torque, the wind resistance torque, and the rotational inertia of the motor...
Firstly, this paper established an optimization model on laying photovoltaic battery with the optimal horizontal obliquity aiming at maximum radiation intensity and the slope obliquity as the decision variable. Then, proposed an “Embedded Search Algorithm” to solve this model. The algorithm not only has high computation efficiency, but also can according to the requirements of the project to achieve...
Traditional barcode recognition algorithm usually do not fit the cylindrical code but the one on flat surface. This paper proposes a low-cost approach to implement recognition of the curved QR codes printed on bottles or cans. Finder patterns are extracted from detecting module width proportion and corners of contours and an efficient direct least-square ellipse fitting method is employed to extract...
The authors proposed a general purpose parameter optimizer, Optimization Processing Unit (OPU), which can handle multi-objective parameter optimization in a multi-input multi-output (MIMO) system (applying parameter optimization to a system implies that it is a functional system). Practical computer-aided methods are used to avoid the difficulty of deriving equations that are usually required for...
Testing the physical properties of a solar cell will generate a data set following the format of an I-V curve. This data is useful in its raw form, but finding its equation can provide additional information, such as the short circuit current and open circuit voltage. The curve-fitting process can be done manually, but it lacks the precision and ease-of-use of a computer program. Some existing programs...
The construction of a neural network simulation metamodel requires the generation of training data; design points (inputs) and the estimate of the corresponding output generated by the simulation model. A common methodology is to focus some simulation effort in obtaining accurate estimates of the expected output values by executing several simulation replications at each point and taking the average...
For a large number of experimental data, the BRDF surface fitting method based on B-spline function and least squares theory, the ill-conditioned normal equations, the low accuracy of the results and long CPU time may be appeared. Thereby, in this paper by using the BP learning method, combined with the training process of L-M algorithm, an improved method is presented. And the method is applied to...
Thevenin's model having a RC network characterizing the battery polarization is used for SOC determination. Reverse current method is proposed to decrease the polarization elimination time. And the polarization voltage of the battery model is identified using the nonlinear least square technique. A maximum available capacity based SOC determination method considering the SOC limit of each cell for...
Estimation of radio environments is a novel method for efficient management of spectrum resources in future wireless networks. It allows insight into the radio field, the interference and the possible geo-locations of various field transmitters. This paper compares three spatial interpolation techniques capable of estimating radio environments using a limited number of field measurements. Comparisons...
The object of this paper is to establish a useful mathematical model to predict the next possible criminal location of serial crimes. Using methods such as geography portrait circle hypothesis, spatial location fitting, geographical profiling, and grey prediction, we provide three different plans, one synthesis plan and one grey prediction model. These models are useful to predict the anchor point...
The differential pressure exported by the averaging Pitot tube is small, it requires an expensive micro-scale differential pressure transducer with very good performance. In order to overcome this drawback, a rotameter was used to take place of the differential pressure transducer in the paper. The rotameter and the main pipe are in parallel lines, so that the rotameter is a by-pass pipe. The scale...
A growth equation of the stand topping mean height was created by using artificial neural network modeling technology, in Masson pine planted forest. Then, a site index model was created with the created equation as the directed equation, and the site index curved shape was drawn with the method of index level adjustment. Finally, the table of site index was worked out. The model structure is 1∶3∶1,...
Taking the investigated data from 40 samples plots of natural secondary oak stand in Baotianman natural reserve for the research object, BP-ANN model was created by using relative diameter of tree as the input variable, and accumulated frequency of tree number as output variable. Through training and optimal seeking by the software of MATLAB, the idea network model was created. In the performance...
Diameter distribution is used to predict stand stock, timber volume and stand yield in most forest management. In the paper, opulus shelterbelts in Boai County were analyzed. A model to predict stand diameter distribution was constructed with artificial neural network(ANN) approach by using the average stand diameter, the coefficient of variation of diameter as well as relative diameter as input variables,...
According to the existing problems that gravity data, digital elevation model are very difficult to obtain in China. The method of refining the geoid with the new "remove-restore" technique based on model geoid height calculated by EGM2008 and model geoid height, model height anomaly calculated by EGM96 are studied respectively. Verify the feasibility by using model geoid height of EGM2008...
Based on the structure modal parameter identification method, the free vibration signal is first extracted using random decrement technique, and then the cross-correlations of different respond points obtained through NExT method are taken as the inputs of the modal time domain identification, and parameter identification is obtained by means of complex exponential method .. The local damage diagnosis...
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