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AASRI International Conference on Applied Engineering Science, ICAES 2014

作者： Peng, M. Li, M.Q. Rong, B. Ding, Y. Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781138026490

In this paper, a novel design of theWideband Bandstop Filter, based on Split Ring Resonators, (SRR) is proposed. The Defect Ground Structure (DGS) is achieved by opening the SRR-shaped slot in the ground plane, and the metal cylinder is added between micro-strip line and the ground. With the above two methods, the wideband bandstop characteristics can be realized. This proposed structure is simulated by the high frequency simulation software HFSS 13.0, and the effect on the performance of a wideband Band-stop Filter by adding a metal column is studied. The design of Band-stop Filter structure with three cascaded SRR-shaped DGS units is proposed. Both the simulated and measured results show that the attenuation at the resonance frequency center reaches −55 dB, and its relative bandwidth less than −10 dB is extended to 42% ranging from 5.6 GHz to 8.6 GHz. Moreover, the insertion loss of passband is limited to 1.2 dB. © 2015 Taylor & Francis Group, London.

关键词： Notch filters

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Comparative analysis of identification methods for wheat leaf diseases

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International Agricultural Engineering Journal 2016年第3期25卷 197-203页

作者： Zhang, D.Y. Xie, X.H. Liang, D. Huang, L.S. Zhang, X.Q. Teng, L. Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230039 China Anhui Engineering Laboratory of Agro-Ecological Big Data Anhui University School of Electronic and Information Engineering Hefei Anhui230601 China

How to fast, accurately and robustly recognize wheat diseases, particularly for those diseases with mild-to-moderate severity, is a challenge for prevention and control of crop disease timely. In this study, image processing technique was applied to segment the infected regions of disease leaves. Twenty disease features were extracted, and eighteen larger weight features were selected by Relief-F algorithm to generate the models of Support Vector Machine (SVM), Relevance Vector Machine (RVM) and Back Propagation Neural Network (BPNN). Subsequently, these models were used to identify two kinds of wheat diseases, namely, wheat stripe rust and powdery mildew. Total 136 samples, including 68 training samples and 68 test samples with different infection severities were used to study the recognition capabilities of the three models. Results showed that high predictive accuracies in identification of two wheat diseases with varying severity for all three models. Overall accuracy of RVM was 89.71%, which was superior to 83.82% of SVM and inferior to 92.64% of BPNN. Meanwhile, the recognition accuracies of SVM, RVM and BPNN models for mild-to-moderate disease were 83.33%, 88.33% and 91.67%, respectively. The prediction time of RVM was less than those of SVM and BPNN, with differences as large as 7.96 and 31.68 times, respectively. Therefore, RVM appeared to be the most suitable for real-time identifying wheat leaf diseases among the three models, which can provide important technical support for wheat diseases management.

关键词： Support vector machines

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A recursive calculating algorithm for higher-order cumulants over sliding window and its application in speech endpoint detection

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Chinese Journal of Acoustics 2015年第4期34卷 436-449页

作者： LUO Yaqin WU Xiaopei L Zhao PENG Kui GUI Yajun The Key Laboratory of Intelligent Computing & Signal Processing Anhui University

Regarding the performance of traditional endpoint detection algorithms degrades as the environment noise level increases, a recursive calculating algorithm for higher-order cu- mulants over a sliding window is proposed. Then it is applied to the speech endpoint detection. Furthermore, endpoint detection is carried out with the feature of energy. Experimental results show that both the computational efficiency and the robustness against noise of the proposed algorithm are improved remarkably compared with traditional algorithm. The average prob- ability of correct point detection （Pc-point） of the proposed voice activity detection （VAD） is 6.07% higher than that of G.729b VAD in different noisy at different signal-noise ratios （SNRs） environments.

关键词： A recursive calculating algorithm for higher-order cumulants over sliding window and its application in speech endpoint detection over

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Vehicle appearance feature recognition based on image

Vehicle appearance feature recognition based on image

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2016 6th International Conference on Machinery,Materials,Environment,Biotechnology and Computer(MMEBC 2016)

作者： Deyang Shao Chao Xu Shixian Luo Bo Feng Long Jiao Anhui Engineering Laboratory of Agro-Ecological Big Data Anhui University Key Laboratory of Intelligent Computer & Signal Processing Ministry of EducationAnhui University

ISBN: (纸本)9781510828087

Now, the highway toll system still uses a single license plate recognition, this method has a problem of inaccurate identificationFor this kind of situation, this paper put forward to increase the appearance of the vehicle feature information and can improve the accuracy of recognitionIn this paper, we adopt the ORB algorithm to extract the exterior feature information of the vehicle and two-way matching、RANSAC algorithms to remove mismatching pointsAt the same time, we continue to iteration the scale parameter of the affine transformation and rotation angle at the matching point as a kind of judgment, which improves the robustness of the algorithm.

关键词： Feature information ORB RANSAC Affine transformation

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A novel dual passband lowpass filter based on U-shaped DGS

A novel dual passband lowpass filter based on U-shaped DGS

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International Conference on Multimedia, Communication and computing Application, MCCA 2014

作者： He, H.Q. Li, M.Q. Ding, Y. Chang, H.X. Zhao, F.L. Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University HefeiAnhui China

ISBN: (纸本)9781138027756

In this paper, a novel design of the dual passband lowpass filter based on the Defect Ground Structure (DGS) is proposed. The defect ground structure (DGS) is achieved by opening a set of asymmetric U-shaped slot in the ground plane and the microstrip line using a U-strip resonator. This proposed structure is simulated by the high frequency simulation software HFSS 13.0. In comparison with the filter without U-shaped DGS, the proposed filter has low insertion loss and its frequency ranges from 8.4GHz to 12.7GHz, signal restrains from 2.7dB to 14dB. The simulated and measured results show good agreement and validate the proposed approach. © 2015 Taylor & Francis Group, London.

关键词： Bandpass filters

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Image Hiding Selection for Large Touch Screen System

Image Hiding Selection for Large Touch Screen System

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IEEE International Conference on Information and Automation

作者： Qihan Jiang Lei Cheng Rongbin Xu Jianguo Wu Ying Xie Department of Computer Science and Technology Anhui University Hefei Anhui230601 China Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781509041039

Various kinds of information in large touch screen system need to be protected by various reasons so we need to hide them. One kind of image hiding selection algorithm is proposed here. The steps are as follows, the carrier image and secret message is obtained by pre-processing to get a most hiding matrix suitable for image and message, then secret message is hidden into the carrier image by using Kim's method. The final hidden image and the original carrier image is almost the same from the naked eye. Finally, a few tests are carried out and the test results suggest that the hidden effect of the whole scheme is good.

关键词： Image Hiding Exploiting Modification Direction Large Touch Screen

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The comparison between optical and homogeneous pumping with FDTD method

The comparison between optical and homogeneous pumping with ...

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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： Kaikun Niu Fang Ming Zhixiang Huang Bo Wu Lihua Wang Xianliang Wu Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China School of Electronic and Information Engineering Hefei Normal University Hefei China

The finite-difference time-domain (FDTD) method is proposed to model Maxwell-Bloch equations with a four-level quantum system for investigating the nano-structures incorporated with gain materials. To understand the lasing behavior and loss compensation mechanism of the gain material, a self-consistent computational scheme is presented. Comparisons between optical and homogeneous Pumping are given. Our self-consistent computational scheme can be used to design new loss-compensation structures with metamaterials.

关键词： Slabs Optical pumping Mathematical model Metamaterials Stimulated emission Finite difference methods

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Robust low-rank tensor factorization by cyclic weighted median

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Science China(Information Sciences) 2015年第5期58卷 145-155页

作者： MENG DeYu ZHANG Biao XU ZongBen ZHANG Lei GAO ChenQiang Institute for Information and System Sciences and Ministry of Education Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong University Department of Computing Hong Kong Polytechnic University Chongqing Key Laboratory of Signal and Information Processing Chongqing University of Posts and Telecommunications

Low-rank tensor factorization(LRTF) provides a useful mathematical tool to reveal and analyze multi-factor structures underlying data in a wide range of practical applications. One challenging issue in LRTF is how to recover a low-rank higher-order representation of the given high dimensional data in the presence of outliers and missing entries, i.e., the so-called robust LRTF problem. The L1-norm LRTF is a popular strategy for robust LRTF due to its intrinsic robustness to heavy-tailed noises and outliers. However, few L1-norm LRTF algorithms have been developed due to its non-convexity and non-smoothness, as well as the high order structure of data. In this paper we propose a novel cyclic weighted median(CWM) method to solve the L1-norm LRTF problem. The main idea is to recursively optimize each coordinate involved in the L1-norm LRTF problem with all the others fixed. Each of these single-scalar-parameter sub-problems is convex and can be easily solved by weighted median filter, and thus an effective algorithm can be readily constructed to tackle the original complex problem. Our extensive experiments on synthetic data and real face data demonstrate that the proposed method performs more robust than previous methods in the presence of outliers and/or missing entries.

关键词： tensor factorization low-rank weighted median filter tensorface

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From standard alpha-stable Lévy motions to horizontal visibility networks: dependence of multifractal and Laplacian spectrum

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Journal of Statistical Mechanics: Theory and Experiment 2018年第5期2018卷

作者： Hai-Long Zou Zu-Guo Yu Vo Anh Yuan-Lin Ma Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Hunan 411105 People's Republic of China School of Electrical Engineering and Computer Science Queensland University of Technology GPO Box 2434 Brisbane Q4001 Australia Author to whom any correspondence should be addressed. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane Q4001 Australia

In recent years, researchers have proposed several methods to transform time series (such as those of fractional Brownian motion) into complex networks. In this paper, we construct horizontal visibility networks (HVNs) based on the -stable Lévy motion. We aim to study the relations of multifractal and Laplacian spectrum of transformed networks on the parameters and of the -stable Lévy motion. First, we employ the sandbox algorithm to compute the mass exponents and multifractal spectrum to investigate the multifractality of these HVNs. Then we perform least squares fits to find possible relations of the average fractal dimension , the average information dimension and the average correlation dimension against using several methods of model selection. We also investigate possible dependence relations of eigenvalues and energy on , calculated from the Laplacian and normalized Laplacian operators of the constructed HVNs. All of these constructions and estimates will help us to evaluate the validity and usefulness of the mappings between time series and networks, especially between time series of -stable Lévy motions and HVNs.

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Two weight Zpk -codes, p odd prime

arXiv

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arXiv 2017年

作者： Shi, Minjia Sepasdar, Zahra Solé, Patrick Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University No. 3 Feixi Road Hefei Anhui Province230039 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China School of Mathematical Sciences of Anhui University Hefei230601 China Department of Pure Mathematics Ferdowsi University of Mashhad P. O. Box 1159 Mashhad91775 Iran CNRS/LTCI Telecom ParisTech University of Paris-Saclay Paris75 013 France Department of Mathematics Faculty of Science King Abdulaziz University Jeddah21589 Saudi Arabia

We show that regular homogeneous two-weight Zpk -codes where p is odd and k ≥ 2 with dual Hamming distance at least four do not exist. The proof relies on existence conditions for the strongly regular graph built on ... 详细信息

关键词： Hamming distance

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