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8th International Conference on Image and Graphics, ICIG 2015

作者： Sun, Xi Chan, Wentao Qu, Lei Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei230039 China

ISBN: (纸本)9783319219684

In this paper, we present a robust face recognition method with combined locality-sensitive sparsity and group sparsity constraint. The group sparsity constraint is designed to utilize the grouped structure information embedded in the training data. Its key idea is to try representing the test image with training images from fewer individuals. We show that, by further integrating the local similarity information between the test image and training images, the embedded group structure information can be better utilized, and as result, the recognition performance can be significantly improved. Experimental results on the ORL, AR and Extended Yale B database verify the superiority of our proposed method under different pose, illumination, expression variations and different dimension reduction settings. © Springer International Publishing Switzerland 2015.

关键词： Face recognition

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Designing and optimizing of surface plasmonic waveguide with nonlinear media

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Guangzi Xuebao/Acta Photonica Sinica 2016年第2期45卷 0224002-1-0224002-1-0224002-5页

作者： Wang, Li-Hua Huang, Zhi-Xiang Kuang, Xiao-Jing Wu, Xian-Liang Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei230039 China

A kind of hybrid surface plasmonic waveguide based on the nonlinear media of Si-NC/SiO2 was designed. The dependence of the distribution of longitudinal energy flux density, the effective refractive index, the propagation length and the effective area of the fundamental mode of the waveguide, on the geometrical parameters and the nonlinear volume fraction were analyzed by the finite element method. Simulated results reveal that light field is distributed mainly in the nonlinear material. The transmission parameters of the fundamental mode, such as the effective index and propagation length can be adjusted by tuning the size and the volume fraction of nonlinear material. When the volume fraction is given, the effective index and propagation length will increase as the thickness of the nonlinear material increasing. With a certain geometric parameter, the effective index will increase as the volume fraction increasing, the propagation length and the effective area will decrease. Finally, the nonlinear effect was optimized according to the analysis results, and the optimized structure size is given by that, the width of waveguide is 250 nm, the thickness of the nonlinear material layer and silicon layer is 100 nm and 150 nm respectively. © 2016, Science Press. All right reserved.

关键词： Finite element method

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Tolerance Granulation Based Community Detection Algorithm

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Tsinghua Science and Technology 2015年第6期20卷 620-626页

作者： Shu Zhao Wang Ke Jie Chen Feng Liu Menghan Huang Yanping Zhang Jie Tang Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Center of Information Support & Assurance TechnologySchool of Computer Science and TechnologyAnhui University School of Computer Science and Technology Tsinghua University

Community structure is one of the most important features in real networks and reveals the internal organization of the vertices. Uncovering accurate community structure is effective for understanding and exploiting networks. Tolerance Granulation based Community Detection Algorithm(TGCDA) is proposed in this paper, which uses tolerance relation(namely tolerance granulation) to granulate a network hierarchically. Firstly, TGCDA relies on the tolerance relation among vertices to form an initial granule set. Then granules in this set which satisfied granulation coefficient are hierarchically merged by tolerance granulation operation. The process is finished till the granule set includes one granule. Finally, select a granule set with maximum granulation criterion to handle overlapping vertices among some granules. The overlapping vertices are merged into corresponding granules based on their degrees of affiliation to realize the community partition of complex networks. The final granules are regarded as communities so that the granulation for a network is actually the community partition of the *** on several datasets show our algorithm is effective and it can identify the community structure more accurately. On real world networks, TGCDA achieves Normalized Mutual Information(NMI) accuracy 17.55% higher than NFA averagely and on synthetic random networks, the NMI accuracy is also improved. For some networks which have a clear community structure, TGCDA is more effective and can detect more accurate community structure than other algorithms.

关键词： tolerance relation community tolerance granulation

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Research on the transmission enhancement properties of a novel subwavelength grating structure and mechanism

Research on the transmission enhancement properties of a nov...

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AASRI International Conference on Applied Engineering Science, ICAES 2014

作者： Chang, H.X. Li, M.Q. Zhang, S. Ding, Y. Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781138026490

The subwavelength metal grating is designed and simulated by using the finite difference time domain (FDTD) algorithm. The transmission characteristics of subwavelength metal grating structure are studied based on the Lossy Drude dispersive medium model. The influence of grating geometry parameters on the transmission characteristics are analyzed, especially for the zero transmission point location of the spectrum. The difference between the designed and conventional gratings is that the former introduces the resonant cavity. Results show that, compared with the single-layer grating, the triple-layer grating has a better filtering effect, and the transmission spectrum peak is in excess of 82%. It concludes that the transmission peak drift is analyzed by using the waveguide Fabry-Perot (F-P) cavity resonance effect, and the zero transmission point location of the spectrum is independent of the metal layer thickness. The influence rules provide an available reference for the design of the band-pass filters. © 2015 Taylor & Francis Group, London.

关键词： Bandpass 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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Numerical simulation of infrared photodetectors with Au gratings by FDFD method 6

Numerical simulation of infrared photodetectors with Au grat...

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6th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies, MAPE 2015

作者： Lulu, Cheng Huang, Zhixiang Xu, Jie Wu, Xianliang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781467374415

Quantum-well infrared photodetectors have been studied extensively due to their night vision, astronomy and environmental monitoring research in recent years. However, responsivity and detectivity are relatively low in these photodetectors without the Au gratings. Therefore, the Au grating will be employed on the surface of photodetector with periodic structure due to the principle of spoof plasmon resonance. The new design mainly aims to enhance the absorption in the QW active region based on the Au grating and can be numerically simulated by using finite-difference frequency-domain method. With optimal grating parameters, the absorption can be enhanced by hundreds of times compared with that in the reference structure without grating. The theoretical results provide the realistic organic infrared photodetectors with theoretical basis and technical support. © 2015 IEEE.

关键词： Numerical methods

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The design and realization of a handheld terminal for industrial control purposes, based on rfid and embedded linux

The design and realization of a handheld terminal for indust...

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International Conference on Future Communication Technology and Engineering, FCTE 2014

作者： Zhang, T. Xu, Y.H. Ye, Z.Q. Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781138027770

Embedded systems and computational intelligence have been greatly developed in recent years. It is necessary to consider the design of a handheld terminal for industrial control purposes because there is still some work done by hand in the industrial process, and it is inconvenient and inefficient. In this paper, a design and achievement of a handheld terminal used in the industrial inspection process is proposed in order to make industrial control more efficient and safer. The handheld terminal hardware consists of ARM11 S3C6410 and RFID module together with a wireless transmission module. As for the software program, we use a QT platform in Fedora to design software programs including serial communication, RFID, and wireless transmission. We also design a useful Chinese input method. Finally, the test shows that the handheld terminal can work well in an industrial process and does have great application prospects. © 2015 Taylor & Francis Group, London.

关键词： Embedded systems

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A novel wideband band-stop filter based on SRR DGS

A novel wideband band-stop filter based on SRR DGS

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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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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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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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