Author
Bo Li
Bio: Bo Li is an academic researcher from Liaoning University of Technology. The author has contributed to research in topics: Filter (video) & Clutter. The author has an hindex of 3, co-authored 14 publications receiving 16 citations.
Topics: Filter (video), Clutter, Kalman filter, Radar tracker, Adaptive filter
Papers
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22 Jul 2011
TL;DR: The voiceprint recognition method based on HMM/ANN hybrid model is presented, and the novel identity authentication interfaces are developed by VC to improve the efficiency of the identity authentication of the distance education system.
Abstract: In order to improve the efficiency of the identity authentication of the distance education system, the existing authentication technology of the system is perfected. In this paper, the voiceprint recognition method based on HMM/ANN hybrid model is presented, and the novel identity authentication interfaces are developed by VC. During the analysis of the voiceprint recognition technology, the operation principle and the design process of the distance education system are described in detail. Through system simulation and a mass of the experiments, the identity authentication technology of the distance education system based on the voiceprint recognition has higher identity recognition rate with feasibility.
3 citations
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25 Jul 2012
TL;DR: In this paper, the authors proposed a fuzzy theory for fault line detection in the neutral grounding system via arc-suppression coil (ESC) via a single-phase-to-ground fault detection and fuse all the fault information.
Abstract: To overcome the limitations and the shortcomings of the existing single fault line detection algorithm in the neutral grounding system via arc-suppression coil (NES), a novel detection algorithm is outlined. After the respective analysis of the fault component criterion, the wavelet criterion, the active power criterion and the spectrum analysis criterion, the fuzzy theory is introduced and applied in the fault line detection to intelligently integrate all of the criteria on the single-phase-to-ground fault detection and fuse all of the fault information. The simulation results show that the proposed algorithm has high reliability.
3 citations
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25 Jul 2012TL;DR: F fuzzy control decision theory is applied to make the fusion of two algorithms, which greatly improves the performance of FLS, and a novel hardware configuration is explored.
Abstract: Since the traditional fault line selection (FLS) has poor reliability, the accurate FLS is an important subject to realize distribution automation. In this paper, fuzzy control decision theory is applied to make the fusion of two algorithms, which greatly improves the performance of FLS. With reference of the actual conditions in distribution network, the principle on the common single-phase-to-earth fault is put forward. The realization of FLS algorithm for the fusion strategy is presented. Based on the digital signal processor (DSP), a novel hardware configuration is explored. The simulation results show that the proposed FLS system exhibits excellent property.
3 citations
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22 Jul 2011TL;DR: In order to improve the efficiency on the multi-user wireless spectrum and achieve the communication at the same base station, a novel preprocessing technology is proposed for the downlink MIMO system in this paper.
Abstract: In order to improve the efficiency on the multi-user wireless spectrum and achieve the communication at the same base station, a novel preprocessing technology is proposed for the downlink MIMO system in this paper. Firstly, based on the theory of the equivalent channel energy, by calculating Frobenius norm on the channel energy from all the users, the receiving antennas with the maximum energy are perfectly selected, which can effectively reduce the computational complexity. After they are confirmed, using dual QR decompositions achieve the precoding matrix, which can eliminate the common channel interference largely. Afterwards, the system simulation and the results analysis demonstrate the efficiency and the reliability of this preprocessing technology that can improve the overall performance of MIMO system.
2 citations
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01 Jul 2017TL;DR: In this paper, an adaptive probability hypothesis density (PHD) filter was proposed for multi-target tracking, where both the completed clutter process and the single-target measurement likelihood were improved based on the Bayesian theory.
Abstract: In order to improve tracking performance of the existing probability hypothesis density (PHD) filters, we present an adaptive filter for multi-target tracking in this paper. At first, both the completed clutter process and the single-target measurement likelihood are improved based on the Bayesian theory. Then, the target cardinality is corrected using the adaptive detection gate. What's more, a novel particle implementation is explored step by step. Numerical study results have been carried out to confirm the promising tracking performance of the proposed PHD filter.
2 citations
Cited by
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TL;DR: Wang et al. as discussed by the authors used fuzzy fault tree analysis and Noisy-OR gate Bayesian network to estimate the occurrence likelihood of navigational accidents, which can overcome the problem of absolute description of the relationships between basic events and intermediate events.
8 citations
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TL;DR: In this article, the fault line selection technology combined the multicriterion with fuzzy theory was proposed for small current grounding system, and the efficiency was proved successfully through system simulation and a great deal of experiments.
Abstract: To perfect the existing fault line selection methods and enhance the accuracy in small current grounding system, the fault line selection technology combined the multicriterion with fuzzy theory was proposed. Firstly, the mechanism of single-phase-to-earth fault in small current grounding system was further discussed. For the common neutral nongrounding system and neutral grounding system via arc-suppression coil, the current mathematical models on single-phase-to-earth fault were analyzed respectively. Then the basic principles on three different fault line selection methods were described that were the zero-sequence current frequency analysis, the addition of the integral of multiplying the zero-sequence current and others, and the current injection. Afterwards, the multicriterion fault line selection approach integrated fuzzy decision was advanced, and the efficiency was proved successfully. By using of DSP and PC, the system models were implemented. Through system simulation and a great deal of experiments, the results also have proven the reliability of this novel technology of fault line selection in small current grounding system.
7 citations
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TL;DR: In this paper, an improved multiple model probability hypothesis density (PHD) filter is proposed to solve the particle degenerate problem and the Poisson assumption for the target number distribution.
5 citations
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01 Jul 2016TL;DR: A complete voiceprint recognition based on Matlab was realized, including speech processing and feature extraction at early stage, and model training and recognition at later stage, including speaker model method.
Abstract: In this paper, a complete voiceprint recognition based on Matlab was realized, including speech processing and feature extraction at early stage, and model training and recognition at later stage. For speech processing and feature extraction at early stage, Mel Frequency Cepstrum Coefficient (MFCC) was taken as feature parameter. For speaker model method, DTW model was adopted to reflect the voiceprint characteristics of speech, converting voiceprint recognition into speaker speech data evaluation, and breaking up complex speech training and matching into model parameter training and probability calculation. Simulation experiment results show that this system is effective to recognize voiceprint.
5 citations
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TL;DR: Experimental results show that the method of policy decomposition improves the evaluation performance of PDPs effectively and that the evaluation time of P DPs reduces with the growing numbers of PDs.
Abstract: In conventional centralized authorization models, the evaluation performance of policy decision point (PDP) decreases obviously with the growing numbers of rules embodied in a policy. Aiming to improve the evaluation performance of PDP, a distributed policy evaluation engine called XDPEE is presented. In this engine, the unicity of PDP in the centralized authorization model is changed by increasing the number of PDPs. A policy should be decomposed into multiple subpolicies each with fewer rules by using a decomposition method, which can have the advantage of balancing the cost of subpolicies deployed to each PDP. Policy decomposition is the key problem of the evaluation performance improvement of PDPs. A greedy algorithm with time complexity for policy decomposition is constructed. In experiments, the policy of the LMS, VMS, and ASMS in real applications is decomposed separately into multiple subpolicies based on the greedy algorithm. Policy decomposition guarantees that the cost of subpolicies deployed to each PDP is equal or approximately equal. Experimental results show that (1) the method of policy decomposition improves the evaluation performance of PDPs effectively and that (2) the evaluation time of PDPs reduces with the growing numbers of PDPs.
3 citations