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2007 IEEE International Conference on Control and Automation, ICCA

作者： Qiao, Zong-Min Cheng, Jia-Xing Song, Jie Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Department of Mathematics Hefei Normal University Hefei China

ISBN: (纸本)1424408180

In this paper, global synchronization approach is discussed for chaotic neural networks with time-varying delay. Under the feedback control of nonlinear state coupling, an effective control law in matrix inequality form has been derived for time-varying delayed chaotic neural networks based on Lyapunov method and LMI technique. The advantage of the proposed approach can be performed efficiently via numerical algorithms such as the interior-point algorithms for solving LMIs. Numerical simulations are carried out to demonstrate the effectiveness of the established synchronization law. © 2007 IEEE.

关键词： Neural networks

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Optimal Tracking Control for Ship Course Using Approximate Dynamic Programming Method

Optimal Tracking Control for Ship Course Using Approximate D...

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第三十二届中国控制会议

作者： XIE Qingqing LUO Bin TAN Fuxiao School of Computer Science and Technology Anhui University Key Laboratory of Intelligent Computing ＆ Signal Processing Ministry of EducationAnhui University School of Computer and Information Fuyang Teachers college

ISBN: (纸本)9781479900305

Dynamic programming(DP) is not a useful tool for solving many control problems because of its complexity in computation. In this paper,we propose Approximate Dynamic Programming(ADP) optimal control strategy for ship course trajectory tracking control *** system transformation,we convert the optimal tracking problem into designing a infinite-horizon optimal regulator for the tracking error ***-dependent Heuristic Dynamic programming(ADHDP) technique,as one form of ADR is presented to obtain the infinite-horizon optimal tracking *** the ship course optimal tracking control simulation results,we can see that the ADHDP controller makes the performance index and the control sequence for the error dynamics converge to the optimal *** BP neural networks are used as parametric structures to implement ADHDP *** two neural networks aim at approximating the cost function and the control law,respectively.

关键词： Optimal Tracking Control Approximate Dynamic Programming ADHDP Ship Course

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Robust DOA Estimation Against Outliers Based on Bias-compensated Adaptive Filtering 7

Robust DOA Estimation Against Outliers Based on Bias-compens...

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7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Xiao, Wudang Yu, Canping Li, Yingsong Li, Liping Zou, Dingcheng Zlatanov, Nikola Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China Innopolis University Faculty of Computer and Engineering Sciences Innopolis Russia

ISBN: (纸本)9798350384437

The direction-of-arrival (DOA) estimation approach utilizing the adaptive nulling array framework has gained widespread attention due to its low complexity. However, in impulsive noise environments, traditional least mean squares (LMS) algorithm may experience a sharp decline in performance or even fail to work properly. To address this challenge, we propose a DOA estimation approach designed for impulsive noise situations based on a robust nonlinear function. In addition, the algorithm can mitigate bias caused by auxiliary array noise and uses the variable step-size strategy to enhance its performance. Furthermore, the mean stability of the proposed approach is also assessed. Simulation results demonstrate its superior performance in impulsive noise environments. © 2024 IEEE.

关键词： Adaptive filtering

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Kernel Adaptive Filtering with Weibull M-transform Maximum Versoria Criterion 7

Kernel Adaptive Filtering with Weibull M-transform Maximum V...

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7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Bi, Chenchong Li, Yingsong Li, Liping Zlatanov, Nikola Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China Innopolis University Faculty of Computer and Engineering Sciences Innopolis Russia

ISBN: (纸本)9798350384437

A kernel Weibull M-transform maximum-versoria-criterion (KWMMVC) algorithm is constructed, which is to use for nonlinear system identification. The KWMMVC algorithm ingeniously integrates the Weibull M-transform scheme into the maximum-versoria-criterion to formulate a novel cost function. The ability of KWMMVC algorithm to identify nonlinear channels under various impulse noise environments is tested in the kernel adaptive filters, and the results proved its superior performance. © 2024 IEEE.

关键词： Adaptive filtering

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Skew Cyclic Codes over a Non-chain Ring

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Chinese Journal of Electronics 2017年第3期26卷 544-547页

作者： SHI Minjia YAO Ting SOL Patrick Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University National Mobile Communications Research Laboratory Southeast University School of Mathematical Sciences of Anhui University CNRS/LAGA University of Paris 82 rue de la Libert93 526 Saint-Denis France

We study skew cyclic codes over a nonchain ring,which generalizes our previous results in IEICE *** Fundamentals of Electronic Communications and Computer Sciences,*** describe generator polynomials of skew cyclic codes over this ring and investigate the structural properties of skew cyclic codes over the ring by a decomposition *** generator polynomial of the dual code of a skew cyclic code are ***,the idempotent generators of skew cyclic codes are *** examples are also presented to illustrate the discussed results.

关键词： Linear codes Gray map Dual codes Skew cyclic codes Generator polynomial

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Detecting and locating human eyes in face images based on progressive thresholding

Detecting and locating human eyes in face images based on pr...

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IEEE International Conference on Robotics and Biomimetics

作者： Liang Tao Hua-bin Wang MOE Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei Anhui China

ISBN: (纸本)9781424417612;9781424417582;1424417619

Based on geometrical facial features and progressive thresholding, this paper presents a novel algorithm for automatic detection and localization of human eyes in grayscale or color still images with complex background. First of all, a determination criterion of eye location is established by the priori knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented face image is estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2-D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm in runtime and correct localization rate.

关键词： Face detection Humans Eyes Image segmentation Gray-scale Pixel Facial features Skin Face recognition signal processing algorithms

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Electromagnetic Scattering from One-dimensional Gaussian Rough Surface Based on Stochastic Integral Equation

Electromagnetic Scattering from One-dimensional Gaussian Rou...

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International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： An Qi Wang Meng Nan Zhu Zhi Xiang Huang Key Laboratory of intelligent Computing & Signal Processing Anhui University Hefei China Key Laboratory of intelligent Computing & Signal Processing Anhui University

ISBN: (数字)9781728169668

ISBN: (纸本)9781728169675

In this paper, the stochastic integral equation method (SIEM) is proposed to calculate the electromagnetic scattering from the one-dimensional Gaussian rough surface. In the SIEM, the statistical parameters of the Gaussian rough surface are firstly included in the Green's function. And the new Green's function is used to get the new integral equation. Then the method of moments is applied to solve the new integral equation. The accuracy of the SIEM is shown by comparing with the statistical average of multiple samples through the Monte Carlo method. And, the sample of the Gaussian rough surface is not needed to simulate in the SIEM.

关键词： Integral equations Electromagnetic scattering Stochastic processes Surface roughness Rough surfaces Numerical models Optimization

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A Microwave Sensor for Detection of Water Adulteration and Spoilage in Milk Based on Split-Ring Resonator 7

A Microwave Sensor for Detection of Water Adulteration and S...

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7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Ding, Shuying Li, Yingsong Huang, Zhixiang Sinkevich, Eugene Mordachev, Vladimir Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China Belarusian State University of Informatics and Radioelectronics EMC R and D Laboratory Minsk Belarus

ISBN: (纸本)9798350384437

The paper introduces a microwave sensor based on split-ring resonators (SRR) for detecting the moisture content and spoilage of milk. This sensor is characterized by its simple structure and high sensitivity, utilizing SRR to enhance the local electric field intensity of the electromagnetic field. By measuring the transmission characteristics of microwave signals, it can accurately detect the moisture content and spoilage of milk samples. The sensor operates at a frequency of 6 GHz and has dimensions of 30×25×1.6 mm. The study establishes the relationship between resonance frequency and water content in milk through simulated data, which provides an effective method for monitoring milk quality and holds potential applications in the food industry, contributing significantly to ensuring food safety. © 2024 IEEE.

关键词： Microwave sensors

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Verification algorithm of a sequential circuit's equivalence based on state transfer graph

Verification algorithm of a sequential circuit's equivalence...

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2nd International Symposium on Information Technologies and Applications in Education, ISITAE 2008

作者： Li, Wei Yang, Desheng Lu, Ying Zhang, Yichao Institute of Computer Science and Technology Anhui University Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9780863419133

An equivalence verification algorithm of sequential circuits [1] based on state transfer graph (STG) is presented in this paper, which obtains some certain useful information through verifying the corresponding state transfer graphs' isomorphism, namely that two corresponding sequential circuits' equivalence . And the verifying includes two steps: firstly, find out all state pairs of the vertexes, which are being verified;secondly verify the equivalence of state pairs, if all the state pairs can be matched as equal state pairs, thus we can come to a conclusion that the corresponding circuits have the same sequential behavior. The algorithm mainly verifies ISCAS85 circuits and some simple state transfer graphs, and the final experiment data shows that the algorithm introduced in the paper will obtain better results compared to BDD(Binary Decision Diagram) and SET(Symbolic Trajectory Evaluation) methods. © 2008 IET.

关键词： Timing circuits

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Research on patent classification based on hierarchical label semantics 3

Research on patent classification based on hierarchical labe...

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3rd International Conference on Education, Knowledge and Information Management, ICEKIM 2022

作者： Chen, Jie Zhao, Shu Lu, Fan Liu, Feng Zhang, Yangping Ministry of Education Anhui University Key Laboratory of Intelligent Computing and Signal Processing Hefei China Anhui University School of Computer Science and Technology Hefei China

ISBN: (纸本)9781665416665

Patent classification is an essential task in patent information management and knowledge mining. Most existing studies are based on the textual content of individual patent texts (e.g., titles and abstracts) for classification, but the patent also has label information with hierarchical structure and semantic description. However, the semantics correlation of patent texts and their labels have been largely ignored. In this paper, we propose a novel framework called HLSPC for patent classification by leveraging the hierarchical semantics correlation of patent texts and their labels. Specifically, we first apply a patent representation learning module for capturing the semantics representation of patent texts and hierarchical labels. Then, we design a label attention learning module to build the semantics correlation between patent texts and hierarchical labels, which enhances patent representation. Finally, we deploy a multi-level fusion module to get the refined category prediction for each patent which can preserve both local and global hierarchical prediction information. Extensive experimental results on two English patent datasets demonstrate the effective power of the HLSPC model. © 2022 IEEE.

关键词： Semantics

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