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8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009

作者： Fang, Xianyong Luo, Bin Zhao, Haifeng Zhang, Yiwen Key Lab. of Intelligent Computing and Signal Processing of MOE School of Computer Science and Technology Anhui University China

ISBN: (纸本)9780769536415

A 5-parameter bundle adjustment method is proposed in this paper for global mosaic of an image sequence. By decomposing the rotation matrix into a 3-parameter rotation axis and a rotation angle, to each image, there are 5 parameters that need estimate for rotation axis, rotation angle and focal length. The proposed method minimizes the distance between feature matches in 3D space so that these 5 parameters are refined gradually for final stitching of all images together. Experimental results suggest that this method is an useful extension to existing research with the advantages of real 3D camera motion, accurate 5-parameter rotation decomposition and reliable 3D feature definition. © 2009 IEEE.

关键词： Rotation

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Protein surface Modeling using active contour model 1

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5th International Conference on Geometric Modeling and processing (GMP 2008)

作者： Xiang, Junping Hu, Maolin Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education and School of Mathematics and Computational Science Anhui University China

ISBN: (数字)9783540792468

ISBN: (纸本)9783540792451

A PDE (partial differential equation) based method, 3D active contour model, is presented to model the surface of protein structure. Instead of generating a single molecular surface, we create a series of surfaces associated with the atomic energy inside the protein, which describe different resolutions of molecular surface. Our results indicate that the surfaces we generated are suitable for shape analysis and visualization. So, when the solvent-accessible surface is not enough to represent the features of protein structure, the evolution surface sequence may be an alternative choice. Besides, if the initial surface is smooth enough, the generated surfaces will preserve this property partly, because the evolution of the surfaces is controlled by the PDE.

关键词： chan-Vese method solvent-accessible surface evolution partial differential equation finite difference atomic energy

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A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks

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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022年第9期33卷 4861-4875页

作者： Yang, Shangshang Tian, Ye He, Cheng Zhang, Xingyi Tan, Kay Chen Jin, Yaochu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Institutes of Physical Science and Information Technology Anhui University Hefei China Department of Computer Science and Engineering Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Southern University of Science and Technology Shenzhen China Department of Computing The Hong Kong Polytechnic University Hong Kong SAR Department of Computer Science University of Surrey Guildford U.K

It has been widely recognized that the efficient training of neural networks (NNs) is crucial to classification performance. While a series of gradient-based approaches have been extensively developed, they are criticized for the ease of trapping into local optima and sensitivity to hyperparameters. Due to the high robustness and wide applicability, evolutionary algorithms (EAs) have been regarded as a promising alternative for training NNs in recent years. However, EAs suffer from the curse of dimensionality and are inefficient in training deep NNs (DNNs). By inheriting the advantages of both the gradient-based approaches and EAs, this article proposes a gradient-guided evolutionary approach to train DNNs. The proposed approach suggests a novel genetic operator to optimize the weights in the search space, where the search direction is determined by the gradient of weights. Moreover, the network sparsity is considered in the proposed approach, which highly reduces the network complexity and alleviates overfitting. Experimental results on single-layer NNs, deep-layer NNs, recurrent NNs, and convolutional NNs (CNNs) demonstrate the effectiveness of the proposed approach. In short, this work not only introduces a novel approach for training DNNs but also enhances the performance of EAs in solving large-scale optimization problems.

关键词： Artificial neural networks Training Optimization Search problems Scalability Complexity theory Genetic algorithms Deep neural networks (DNNs) evolutionary algorithm (EA) genetic operator gradient descent sparsity

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A C-band quad-cluster low-profile broadband circularly polarized antenna array based on sequentially rotating metasurface-based

A C-band quad-cluster low-profile broadband circularly polar...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Bai, Rongxian Li, Minquan Anhui University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Hefei230601 China

ISBN: (纸本)9798350355581

This paper proposes a metasurface-based left-handed circularly polarized (CP) sequential rotating metasurface-based (MTS) antenna array for C-band. The array comprises a cluster of 4 × 4 periodically aligned MTS cells, which exhibit excellent performance at a low profile of 0.08 λ0. The antenna array is constructed on a Rogers RO4003 dielectric board in two layers. The upper surface of the upper layer is the MTS, the floor has a gap between the upper and lower layers, and the lower surface of the lower layer is the sequential feed network. The simulation conducted in HFSS software yielded an integrated bandwidth (IBW) of 95% (3.79-8.54 GHz) and an antenna radiation bandwidth (ARBW) of 49.8% (3.77-6.26 GHz), respectively. The dimensions of the antenna are 1.33λ0 × 1.33λ0 × 0.08λ0. This configuration results in a miniaturized, compact, and low-profile antenna array. This antenna configuration is applicable to satellite communications using circularly polarized waves through MTS units. © 2024 IEEE.

关键词： Circular polarization

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Mobility robustness optimization based on UE mobility for LTE system

Mobility robustness optimization based on UE mobility for LT...

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2010 International Conference on Wireless Communications and signal processing, WCSP 2010

作者： Wei, Zhenzhen Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education AnHui University Hefei 230039 China

ISBN: (纸本)9781424475551

Self-organizing networks (SON) for cellular systems are emerging as an important technology to reduce the cost of network deployment and maintenances. Mobility robustness optimization (MRO) is one of the main use cases of SON and has been intensively studied in 3GPP working groups. In this paper, we take the user equipment (UE) speed into account to solve the MRO problem. We propose a US-MRO algorithm, which assigns different Hysteresis parameters to UEs with different speed. The simulation results show that the success rate of Handover (HO) is improved and user experience is enhanced by the US-MRO algorithm. ©2010 IEEE.

关键词： Hysteresis

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Event-Triggered Optimal Nonlinear Systems Control Based on State Observer and Neural Network

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Journal of Systems Science & Complexity 2023年第1期36卷 222-238页

作者： CHENG Songsong LI Haoyun GUO Yuchao PAN Tianhong FAN Yuan Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and AutomationAnhui UniversityHefei 230601China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Electrical Engineering and AutomationAnhui UniversityHefei 230601China

This paper develops a novel event-triggered optimal control approach based on state observer and neural network(NN)for nonlinear continuous-time ***,the authors propose an online algorithm with critic and actor NNs to solve the optimal control problem and provide an event-triggered method to reduce communication and computation ***,the authors design weight estimation for critic and actor NNs based on gradient descent method and achieve uniformly ultimate boundednesss(UUB)estimation ***,by using bounded NN weight estimation and dead-zone operator,the authors propose a triggering condition,prove the asymptotic stability of closed-loop system from Lyapunov stability perspective,and exclude the Zeno ***,the authors provide a numerical example to illustrate the effectiveness of the proposed method.

关键词： Event-triggered control neural network optimal control state observer

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A method of multi-user detection based on independent component analysis for DS-CDMA systems

A method of multi-user detection based on independent compon...

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IET Conference on Wireless, Mobile and Sensor Networks 2007, CCWMSN'07

作者： Li, X.H. Gao, W. Cheng, Y. Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9780863418365

The DS-CDMA signal model and the noisy linear Independent Component Analysis (ICA) model are analyzed in this paper. Comparing these models shows that they have the same form. The adaptive minimum mean-square error (MMSE) multiuse detection based on ICA is proposed. It uses the output of adaptive MMSE multi-user detection to initialize the ICA iterations, not only the known spread information of interesting user is used to overcome the uncertainness of ICA, but also the character of statistical independence is used. The simulation results show that the performance is improved obviously.

关键词： Mean square error

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The Dual-3DCRU Model Based on Hemisphere Asymmetry for EEG Emotion Recognition 5

The Dual-3DCRU Model Based on Hemisphere Asymmetry for EEG E...

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5th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2024

作者： Dong, Hao Zhou, Jian Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui Hefei China

ISBN: (纸本)9798350385557

In this paper, we propose an innovative multi scale model called Dual-3DCRU, designed to extract more discriminative feature from both the left and right hemispheres. Byleveraging spatial relationships of electrode locations and the distinct frequency bands present in EEG signals from brain two hemispheres regions, we reconstructed comprehensive three-dimensional frequency space fusion feature representation. The Dual-3DCRU utilizes two different multi scale 3D -CNN to effectively capture both frequency and spatial information embedded in the 3D feature representations. Furthermore, we integrate a Gated Recursive Unit (GRU) to model the temporal dynamics across continuous time periods and extract critical temporal information. Ultimately, the Dual-3DGRU model delivers a holistic feature representation that incorporates time, frequency, and spatial information seamlessly. Our experiments showcase that the Dual-3DCRU model attains exceptional performance on DEAP dataset. Specifically, the accuracy in the Valence dimensionis 94.35%, F1-score is 93.24%, accuracy in the Arousal dimensionis 95.04%, and F1-score is 94.17%. © 2024 IEEE.

关键词： Emotion Recognition

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Pattern Reconfigurable MIMO Antenna Based on Characteristic Mode Theory 4

Pattern Reconfigurable MIMO Antenna Based on Characteristic ...

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4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021

作者： Tian, Minmin Cheng, G.S. Sun, Y.T. Huang, Z.X. Auhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Hefei230601 China

ISBN: (纸本)9781733509619

A pattern reconfigurable dual-port multiple-input multiple-output (MIMO) antenna system utilizing Characteristic mode theory is proposed at 2.45GHz. By using the selective incentives of four characteristic modes, six pairs of balanced inductive exciter (BIEs) and the antenna are integrated to realize the selective incentives of the four patterns. In the feeder network, by changing the state of the PIN diode, the two ports realize selective incentive to obtain four working states. The test results show that the pattern reconfiguration technique is reliable and can be used in other types of structures. © 2021 Applied Computational Electromagnetics Society (ACES).

关键词： MIMO systems

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Design and implementation of an improved BCI System based on alpha rhythm

Design and implementation of an improved BCI System based on...

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3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

作者： Bing, Wei Xiaopei, Wu Daoxin, Zhang Key Laboratory of Intelligent Computing and Signal Processing China of Anhui University Hefei Anhui Province China

ISBN: (纸本)9781424429028

This paper introduces an improved BCI system based on alpha rhythm, the main composition units of the system are electrodes, acquisition circuit, online detecting algorithm and outer devices. For improving the performance of BCT systems, a new algorithms for alpha wave detection is proposed, which can reduce EEG baseline wandering and energy fluctuation efficiently and make the BCI system work more stable. Based on the BCI system, experiments of media player control are carried out among different subjects, which show that the system has an excellent performance in alpha wave detection and real-time controlling. ©2009 IEEE.

关键词： Brain computer interface

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