Advanced Materials Research Vols. 846-847

Abstract: A computationally efficient extended Kalman filter is developed for nonlinear estimation problems in this paper. The filter is performed in three stages. First, the state predictions are evaluated by the dynamic model of the system. Then, the dynamic equations of the rectification quantities for the predicted states are designed. Finally, the state estimations are updated by the predicted states with the rectification quantities multiplied by a single scale factor. One advantage of the filter is that the computational cost is reduced significantly, because the matrix coefficients of the rectified equations are constant. It doesnt need to evaluate the Jacobian matrixes and the matrix inversion for updating the gain matrix neither. Another advantage is that a single scale factor is introduced to scale the model approximated error, leading to an improved filter performance. The excellent performance of the proposed filter is demonstrated by an example with the application to the estimation problems for the sensorless permanent magnet synchronous motor direct torque control system.

Abstract: This paper summarizes the reactive power optimization of power system characteristics and requirements, proposed to target the active power loss of reactive power optimization mathematical model, And the traditional classical algorithm can not handle the limitations of discrete variables, using the adaptive particle swarm optimization algorithm to solve the problem of reactive power optimization. By testing on IEEE30 bus system simulation, comparing different algorithm optimization results show the effectiveness and superiority of APSO algorithm.

Abstract: In order to improve the effect of remote video monitoring system, a new image mosaic technology based on fuzzy cellular automata detection is presented. Firstly, the edge feature points from two images are extracted by fuzzy cellular automata; secondly, the corresponding feature point pairs are got by the cross-correlation of the gray scale around the edge feature points; finally the images can be stitched by matched edge feature point pairs. The experiment of remote viewing image mosaic in substation shows that this method can achieve image mosaic effectively and it will be benefit to improve the safety and reliability of substation operation.

Abstract: Traditional tracking algorithm is not compatible between robustness and efficiency, under complex scenes, the stable template update strategy is not robust to target appearance changes. Therefore, the paper presents a dynamic template-update method that combined with a mean-shift guided particle filter tracking method. By incorporating the original information into the updated template, or according to the variety of each component in template to adjust the updating weights adaptively, the presented algorithm has the natural ability of anti-drift. Besides, the proposed method cope the one-step iteration of mean-shift algorithm with the particle filter, thus boost the performance of efficiency. Experimental results show the feasibility of the proposed algorithm in this paper.

Abstract: Stepped-frequency signal is an important high distance resolution signal, but it is easy to be effected by target motion. When the target moves, the phenomenon of waveform broaden and range walk would appear if we process the echo of normal stepped-frequency signal directly, so we should compensate target velocity before angle measurement; in regard to variable pulse repetition time stepped-frequency signal, there is only range walk without waveform broaden if we process the echo directly, so we could conduct the amplitude and sum-difference monopulse estimation without velocity compensation, measuring efficiency could be improved. In this article, we analyzed the principle of variable PRT stepped-frequency signal, compare it with the normal stepped-frequency signal to prove its effectiveness. Then we verify the feasibility of angle measurement by using this method.

Abstract: This paper proposes a kind of high speed mono-pulse sum-difference angle estimation hardware architecture. Sum-difference amplitude mono-pulse algorithm is implemented in the hardware which is composed of 4 chips of XC6VSX315T and three chips of TMS320C6678. This hardware structure has already been applied in engineering.

Abstract: Based on direction index histogram (DIH) handwriting identification method, a new improved DIH handwriting identification algorithm is proposed. Firstly handwriting image which is prepared to test is pre-treat, then binary and removing noise the normalized image can be obtain. The obtained features of distance are divided into two factors: writing influence factor and character influence factor, then compared the pre-test images with samples of handwriting images according to the features of the images. Experimental results show that the handwriting identification algorithm proposed by this paper has better recognition rate than DIH algorithm, and obtain better result.

Abstract: Art identification becomes more and more sophisticated today, so the conventional testing or visual inspection is difficult to ensure accurate detection of small defects. This paper presents a computer-based defect detection method for artworks. It adopts small components removing method to remove image noise and any parts interfering measurements, and maximum variance method as threshold method of the detection system. Pixel and sub-pixel level edge detection methods are used to overcome the shortcomings of traditional methods to complete the defect detection. Experiments show that the scheme is feasible, and has high accuracy and shorter detection time.

Abstract: This paper presents our recent work towards the development of a voice calculator based on speech error correction and natural language processing. The calculator enhances the accuracy of speech recognition by classifying and summarizing recognition errors on numerical calculation speech recognition area, then constructing Pinyin-text-mapping library and replacement rules, and combing priority correction mechanism and memory correction mechanism of Pinyin-text-mapping. For the expression after correctly recognizing, the calculator uses recursive-descent parsing algorithm and synthesized attribute computing algorithm to calculate the final result and output the result using TTS engine. The implementation of this voice calculator makes a calculator more humane and intelligent.

Abstract: Because of the existing problems of BP network: easily falling into local minimum point, slowly converging and generalization ability can not be guaranteed, the evaluation method of water quality based on BP network is not satisfactory. Therefore, an algorithm of improved particle swarm optimizing is used to optimize the BP network. On the basis of this, an evaluation method of water quality based on improved PSO-BP network is designed. Proved by experiments, the BP network optimized by improved PSO is stable. So, the performance and efficiency of the water quality evaluation based on improved PSO-BP is pretty good.