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13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022

作者： He, Zhikang Zhu, Haoran Anhui Province Anhui University Information Materials and Intelligent Sensing Laboratory Hefei230039 China Anhui University Ministry of Education Key Lab of Intelligent Computing and Signal Processing Hefei230039 China

ISBN: (数字)9781665416719

ISBN: (纸本)9781665416719

a U-shaped structure, based on the equivalent lumped circuit of differential transmission line, is proposed to suppress the noise of differential-common-mode conversion. With the equivalent lumped circuit, the cause of mode conversion noise is analyzed. The U-shaped structure has reached the suppression level of 24.31 dB from DC to 10 GHz according to the simulated result. © 2022 IEEE.

关键词： Electric lines

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A Miniaturized Microwave Limiter by Using T-Type LC Network Topology with GaAs Technology 13

A Miniaturized Microwave Limiter by Using T-Type LC Network ...

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13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022

作者： Wang, Jun Zhu, Haoran Anhui University Information Materials and Intelligent Sensing Laboratory of Anhui Province Hefei230039 China Anhui University Ministry of Education Key Lab of Intelligent Computing & Signal Processing Hefei230039 China

ISBN: (数字)9781665416719

ISBN: (纸本)9781665416719

A miniaturized ultra-wideband microwave limiter with low insertion loss is presented in this paper. This limiter adopts a three-stage antiparallel diode structure. A T-type LC network topology consisting of two spiral inductors and a parallel grounded metal-insulator-metal (MIM) capacitor is utilized to replace the traditional λ/4 transmission line in series between the limiting circuits. Compared with the traditional topology, the proposed limiter has the advantages of miniaturization and ultra-wideband. The area of the presented microwave limiter chip is only 1.25×0.75mm2. The simulation results show that the limiter can work in 0.05-18GHz. Insertion loss is less than 0.65dB at 18GHz. The output power can be maintained below 15dBm with a maximum power input of 40dBm continuous wave. © 2022 IEEE.

关键词： Network topology

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Challenge-Aware RGBT Tracking 1

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16th European Conference on Computer Vision, ECCV 2020

作者： Li, Chenglong Liu, Lei Lu, Andong Ji, Qing Tang, Jin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China

ISBN: (数字)9783030585426

ISBN: (纸本)9783030585419

RGB and thermal source data suffer from both shared and specific challenges, and how to explore and exploit them plays a critical role to represent the target appearance in RGBT tracking. In this paper, we propose a novel challenge-aware neural network to handle the modality-shared challenges (e.g., fast motion, scale variation and occlusion) and the modality-specific ones (e.g., illumination variation and thermal crossover) for RGBT tracking. In particular, we design several parameter-shared branches in each layer to model the target appearance under the modality-shared challenges, and several parameter-independent branches under the modality-specific ones. Based on the observation that the modality-specific cues of different modalities usually contains the complementary advantages, we propose a guidance module to transfer discriminative features from one modality to another one, which could enhance the discriminative ability of some weak modality. Moreover, all branches are aggregated together in an adaptive manner and parallel embedded in the backbone network to efficiently form more discriminative target representations. These challenge-aware branches are able to model the target appearance under certain challenges so that the target representations can be learnt by a few parameters even in the situation of insufficient training data. From the experimental results we will show that our method operates at a real-time speed while performing well against the state-of-the-art methods on three benchmark datasets. © 2020, Springer Nature Switzerland AG.

关键词： Computers

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Maxwell-Hydrodynamic Model for Simulating Nonlinear Terahertz Generation from Plasmonic Metasurfaces

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IEEE Journal on Multiscale and Multiphysics Computational Techniques 2017年 2卷 194-201页

作者： Fang, Ming Huang, Zhixiang Sha, Wei E. I. Wu, Xianliang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230039 China College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong

The interaction between electromagnetic field and plasmonic nanostructures leads to both strong linear and nonlinear behaviors. In this paper, a time-domain hydrodynamic model for describing the motion of electrons in plasmonic nanostructures is presented, in which both surface and bulk nonlinearity are considered. A coupled Maxwell-hydrodynamic system capturing full-wave physics and free-electron dynamics is numerically solved with the parallel finite-difference time-domain method. The validation of the proposed method is presented by simulating a plasmonic metasurface. The linear response is compared with the Drude dispersion model and the nonlinear terahertz emission from a difference-frequency generation process is theoretically analyzed. The work is fundamentally important to design nonlinear plasmonic nanodevices, especially for efficient and broadband THz emitters. © 2016 IEEE.

关键词： Plasmonics

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A Train Position Based Beam Switching Mechanism in High Speed Railway Scenario 9

A Train Position Based Beam Switching Mechanism in High Spee...

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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Peng Ma Delin Cai Chao Wang Mingyang Zhang Qiaoling Yu Ting Zhou Key Laboratory of Intelligent Computing & Signal Processing (Anhui University) Ministry of Education Shanghai Research Center for Wireless Communications Shanghai Institute of Microsystem and Information Technology (SIMIT) Chinese Academy of Sciences (CAS)

ISBN: (纸本)9781509038237;9781509038220

According to the medium and long term development planning of railway networks, China will built "eight vertical and horizontal" high speed railway network during 13 th five-year. With the rapid development of mobile smart terminals, the rail dedicated communication system using GSM-R system cannot satisfy the passengers' communication requirement. As high frequency communication has been considered in 3 GPP new radio to achieve higher capacity, this paper studies the high-speed communication using 60 GHz millimeter wave. In this paper, we propose a beam switching mechanism based on train position information in high speed railway scenario. The proposed mechanism can realize fast intra-TRP/inter-TRP beam switching and the simulation result demonstrates Gigabit data rate can be provided for passengers.

关键词： high-speed rail communication millimeter wave beam switching train position

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Efficient plane wave injection for 3D FDTD method

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2014年第6期42卷 1086-1089页

作者： Wu, Bo Wang, Hui Huang, Zhi-Xiang Wu, Xian-Liang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University HefeiAnhui230039 China

The method of SP-FDTD (Splitting Plane wave Finite Difference Time Domain)is applied to 3D FDTD (Finite Difference Time Domain)method for plane wave incidence. Based on the split-field formulation, the method has the new iterative equations and can eliminate the error of interpolation and discretized phase velocity mismatch between 1D FDTD and 3D FDTD grid. Numerical results show that the present method is valid for different type of wave sources, and accuracy for oblique incident plane wave, with the leakage error on the order of -300 dB.

关键词： Finite difference time domain method

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Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics

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Chinese Journal of Electronics 2023年第1期32卷 111-129页

作者： TIAN Ye ZHANG Xingyi HE Cheng TAN Kay Chen JIN Yaochu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Institutes of Physical Science and Information Technology Anhui University School of Artificial Intelligence Anhui University School of Electrical and Electronic Engineering Huazhong University of Science and Technology Department of Computing The Hong Kong Polytechnic University Faculty of Technology Bielefeld University

A large number of metaheuristics have been proposed and shown high performance in solving complex optimization problems. While most variation operators in existing metaheuristics are empirically designed,new operators are automatically designed in this work,which are expected to be search space independent and thus exhibit robust performance on different *** work first investigates the influence of translation invariance, scale invariance, and rotation invariance on the search behavior and performance of some representative operators. This work then deduces the generic form of translation, scale, and rotation invariant operators, and proposes a principled approach for the automated design of operators, which searches for high-performance operators based on the deduced generic form. The experimental results demonstrate that the operators generated by the proposed approach outperform state-of-the-art ones on a variety of problems with complex landscapes and up to 1000decision variables.

关键词： Deep learning Metaheuristics Reinforcement learning Benchmark testing Search problems Robustness Behavioral sciences

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Motor Imagery EEG Classification based on Dynamic ICA Mixing Matrix

Motor Imagery EEG Classification based on Dynamic ICA Mixing...

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The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

作者： Xiaojing Guo Xiaopei Wu The Key Laboratory of Intelligent Computing & Signal Processing of MOE Anhui University Hefei city Anhui province China

Recently the mu rhythm by motor imagination has been used as a reliable EEG pattern for brain-computer interface (BCI) system. To motor-imagery-based BCI, feature extraction and classification are two critical stages. This paper explores a dynamic ICA base on sliding window Infomax algorithm to analyze motor imagery EEG. The method can get a dynamic mixing matrix with the new data inputting, which is unlike the static mixing matrix in traditional ICA algorithm. And by using the feature patterns based on total energy of dynamic mixing matrix coefficients in a certain time window, the classification accuracy without training can be achieved beyond 85% for BCI competition 2003 data set Ⅲ. The results demonstrate that the method can be used for the extraction and classification of motor imagery EEG. In the present study, it suggests that the proposed algorithm may provide a valuable alternative to study motor imagery EEG for BCI applications.

关键词： Electroencephalography Independent component analysis signal processing algorithms Brain computer interfaces Computer interfaces Rhythm Laboratories signal processing Cities and towns Feature extraction

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A 5-Parameter Bundle Adjustment Method for Image Mosaic

A 5-Parameter Bundle Adjustment Method for Image Mosaic

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International Conference on Computer and Information Science (ACIS)

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

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.

关键词： Image sequences Matrix decomposition Parameter estimation Cameras

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Prediction of splice site using support vector machine with feature selection 2017

Prediction of splice site using support vector machine with ...

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2017 International Conference on Bioinformatics and Computational Intelligence, ICBCI 2017

作者： Li, Wen Li, Jianzhuo Huo, Lijuan Li, Wenjun Du, Xiuquan School of Computer Science and Technology Anhui University Hefei230601 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei230601 China

ISBN: (纸本)9781450353113

Identification of splice site plays a key role for alternative splicing analysis. Many effective methods have been proposed over the past decades. However, there have still some limitations and need further improvement. In this paper, we collect splice site sequences from Homo Sapiens Splice Sites Dataset (HS3D), to transform these sequences, we use two kinds of methods to code them and then use support vector machines (SVM) as predictor. In order to reduce computational time, maximum relevance minimum redundancy (mRMR) is adopted to rank the features for finding optimal feature combination. On the donor splice site sequence data, our method achieves 92.85% accuracy, area under ROC (Receiver Operating Characteristic) curve (ROC-AUC) of 97.62%. On the acceptor splice site data, our method achieves 92.29% accuracy and 97.37% ROC-AUC. These results show that our method is effective and reliable for splice sites prediction. © 2017 ACM.

关键词： Support vector machines

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