The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we aim to improve the overall performance of kernel adaptive filters by adaptively combining several component filters with different parameters setting in the practical applications. The convex combination scheme is exploited to incorporate any two parallel diversity branches which could be the component filter or the output of previous combination layer. The proposed convex combination...
LIHT (Lack Injection of Hole Termination) structure is proposed and studied. Compared with conventional termination structure, the novel structure features a partial N-doped anode in the transition region and termination region instead of a whole P-doped anode. The LIHT structure stores less carries in the drift region of the transition region and termination region, in which holes concentration reduced...
Dexterous manipulation has broad applications in assembly lines, warehouses and agriculture. To perform broad-scale manipulation tasks, it is desired that a multi-fingered robotic hand can robustly manipulate objects without knowing the exact objects dynamics (i.e. mass and inertia) in advance. However, realizing robust manipulation is challenging due to the complex contact dynamics, the nonlinearities...
In this paper, a recurrent wavelet neural network(RWNN) control system based on chaotic series adaptive particle swarm optimization (PSO) is proposed to control the PMSM drive system. First, the RWNN control system is developed for the control of PMSM. Moreover, the on-line learning algorithms of the connective weights, translations and dilations of the RWNN are derived using back-propagation(BP)...
Fast, scalable, and robust solution of the hybrid finite element-boundary integral (FE-BI) linear system of equations is traditionally considered a challenge due to multifaceted technical difficulties. This paper proposes a nonoverlapping geometry-aware domain decomposition (DD) preconditioning technique for iteratively solving hybrid FE-BI equation. The technique ingredients include a volume-based...
The initial alignment error model of strap-down inertial navigation system is nonlinear under large azimuth misalignment angle condition, and it could be processed by the particle filter algorithm. In order to solve the problem that importance density function of the particle filter is difficult to select, a new robust adaptive cubature particle filter algorithm is proposed. The equivalent weight...
Initial alignment is one of the key technologies in Strapdown inertial navigation system (SINS). It is divided into coarse alignment and fine alignment. The conventional method of fine alignment is to adopt Kalman filtering and uses single filter to estimate system states. In Kalman filtering, it is known that system model should be matched with actual system and the statistical characteristics of...
At present, single cluster model is adopted usually for customer segmentation. In this paper, clustering ensemble technology is applied to customer segmentation improves the cluster performance in customer crisis management owing to the uncertainty and fuzziness of customer behavior. First, this paper regards objective cluster analysis ( OCA ) as basic clusterer, which overcomes the shortcoming that...
In this paper, a new Krein space approach to robust filtering for linear systems with multiple uncertainties is developed. The multiple uncertainties satisfy the energy-type constraints, entering into both state and measurement equations. The proposed approach is used to tackle the sub-optimization problem arising from a sum quadratic constraint (SQC) of system uncertainties. To this end, a novel...
Digital Watermarking may be used to protect databases copyright. A new method for proving the ownership of relational databases is presented. Such approach is applied for protecting both textual and numerical data. This is done by embedding special mark and watermark bits into textual attributes and numerical attributes respectively. Carriage return character and linefeed character, representing 1...
In this paper, a new mechanism for the optimal energy consumption in WSNs is presented on the basis of the ant colony algorithm(ACA). The proposed mechanism can realise a best allocation of the energy for each single node in a given network. Simulation results show that, comparing with the directed diffusion routing method, the new routing mechanism can reduce the main nodes' energy consumption and...
We present a robust threshold signature scheme which is provably secure without random oracles under the computational Diffie-Hellman assumption. Our construction derives from a novel application of the recent signature scheme due to Waters. Compared with Wang et al.'s threshold signature scheme without random oracles, the signing procedure of our scheme is much more efficient in terms of communication...
This paper presents a method to simultaneously regularize diffusion weighted images and their estimated diffusion tensors, with the goal of suppressing noise and restoring tensor information. We enforce a data fidelity constraint, using coupled robust anisotropic diffusion filters, to ensure consistency of the restored diffusion tensors with the regularized diffusion weighted images. The filters are...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.