For the microaccelerometer, strong axial response and weak cross-axial one are always expected. This paper presents a general analysis about transverse sensitivity of the microaccelerometer. The analysis model is deve...
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For the microaccelerometer, strong axial response and weak cross-axial one are always expected. This paper presents a general analysis about transverse sensitivity of the microaccelerometer. The analysis model is developed, where the influence of response stiffness and damping in different axes, as well as symmetrical decline angles of 3 degrees of freedom system is considered. Moreover, multi-freedom vibration equations based on the analysis model are established. And the equations are solved on condition that damping force is ignored. Finally, the theoretical analysis about transverse sensitivity is accomplished, and some effective methods, which are beneficial to reduce cross disturbance, are provided.
The key of PID control systematic optimization design is PID parameter optimization. Traditional PID controller parameter adopt experiment to add the way of trying to carry out optimization by man. It is fairly time-c...
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The key of PID control systematic optimization design is PID parameter optimization. Traditional PID controller parameter adopt experiment to add the way of trying to carry out optimization by man. It is fairly time-consuming, PID controller have no self-adaptive ability, can only rely on artificial optimization parameter. This paper puts forward a kind of algorithm to select the PID parameters based on the crowd algorithm of ant. Scientists have put forward the crowd algorithm of ant by imitating the ant collective in nature and. Imitation research has shown the validity of this algorithm. this algorithm have surmounted the disadvantages of traditional PID regulator parameter optimization.
Fisher discriminant analysis (FDA) is a popular method for supervised dimensionality reduction. FDA seeks for an embedding transformation such that the ratio of the between-class scatter to the within-class scatter is...
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Fisher discriminant analysis (FDA) is a popular method for supervised dimensionality reduction. FDA seeks for an embedding transformation such that the ratio of the between-class scatter to the within-class scatter is maximized. Labeled data, however, often consume much time and are expensive to obtain, as they require the efforts of human annotators. In order to cope with the problem of effectively combining unlabeled data with labeled data to find the embedding transformation, we propose a novel method, called subspace semi-supervised Fisher discriminant analysis (SSFDA), for semi-supervised dimensionality reduction. SSFDA aims to find an embedding transformation that respects the discriminant structure inferred from the labeled data and the intrinsic geometrical structure inferred from both the labeled and unlabeled data. We also show that SSFDA can be extended to nonlinear dimensionality reduction scenarios by applying the kernel trick. The experimental results on face recognition demonstrate the effectiveness of our proposed algorithm.
Fisher discriminant analysis (FDA) is a popular method for supervised dimensionality reduction. FDA seeks for an embedding transformation such that the ratio of the between-class scatter to the within-class scatter is...
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Fisher discriminant analysis (FDA) is a popular method for supervised dimensionality reduction. FDA seeks for an embedding transformation such that the ratio of the between-class scatter to the within-class scatter is maximized. Labeled data, however, often consume much time and are expensive to obtain, as they require the efforts of human annotators. In order to cope with the problem of effectively combining unlabeled data with labeled data to find the embedding transformation, we propose a novel method, called subspace semi-supervised Fisher discriminant analysis (SSFDA), for semi-supervised dimensionality reduction. SSFDA aims to find an embedding transformation that respects the discriminant structure inferred from the labeled data and the intrinsic geometrical structure inferred from both the labeled and unlabeled data. We also show that SSFDA can be extended to nonlinear dimensionality reduction scenarios by applying the kernel trick. The experimental results on face recognition demonstrate the effectiveness of our proposed algorithm.
To solve the problem caused by the inherent design of AC motor that 20%~40% energy of traditional escalator goes to waste in vain in the form of heat, this paper puts forward to the best control project of the escalat...
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To solve the problem caused by the inherent design of AC motor that 20%~40% energy of traditional escalator goes to waste in vain in the form of heat, this paper puts forward to the best control project of the escalator energy-saving control-adopting instantaneous detect technology, single-chip control, intelligent control system with speed control and voltage control and frequency converter, based on adaptive fuzzy algorithm to diagnose the fault of the escalator, detect dynamic state person (two class) by single-chip control, automatic transformation escalator frequency converter controller's work method like speed control and voltage control, and safety monitor protection circuit to optimize the performance of the escalator. The practice shows that energy can be saved more than 40% by this system.
A novel temperature-insensitive strain sensor based on bandwidth demodulation of the reflected light from the tapered fiber grating is presented, which is simple and low-cost and has considerable potential particularl...
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A novel temperature-insensitive strain sensor based on bandwidth demodulation of the reflected light from the tapered fiber grating is presented, which is simple and low-cost and has considerable potential particularly application for strain sensing,and with the development of the interrogation system, it can demodulate both the bandwidth and the center wavelength of the reflected light from TFG to measure strain and temperature simultaneously.
We demonstrate the feasibility to make a temperature-independent strain sensor by measuring the bandwidth of the reflected light from the tapered fiber grating (TFG). This simple and low-cost sensor approach has a con...
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We demonstrate the feasibility to make a temperature-independent strain sensor by measuring the bandwidth of the reflected light from the tapered fiber grating (TFG). This simple and low-cost sensor approach has a considerable potential, particularly application to strain sensing in the smart structures. The experimental results show that the method is suitable for distribution measurement, and it can restrain the influence of source fluctuation.
In this paper, we extend the well-known Jacobi and Gauss-Seidel iterations to present a large family of iterative methods. The proposed methods are applied to develop iterative solutions to the matrix equation AXB = F...
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In this paper, we extend the well-known Jacobi and Gauss-Seidel iterations to present a large family of iterative methods. The proposed methods are applied to develop iterative solutions to the matrix equation AXB = F and the generalized Sylvester matrix equation AXB + CXD = F by means of a hierarchical identification principle. We prove that the iterative solutions converge to the exact solutions for any initial values. The algorithms proposed require less storage capacity than the existing numerical ones. The iterative methods can be applied to system parameter identification problems.
With easily available prior knowledge, we explore a new approach for nulling of reverberation through separating active sonar data into reverberation and moving target echo. From the perspective of signal processing, ...
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