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

作者： H.Q.He M.Q.Li Y.Ding H.X.Chang F.L.Zhao Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

In this paper,a novel design of the dual passband lowpass filter based on the Defect Ground Structure(DGS) is *** 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 *** proposed structure is simulated by the high frequency simulation software HFSS *** 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 14 *** simulated and measured results show good agreement and validate the proposed approach.

关键词： Dual passband Lowpass filter U-shaped DGS

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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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2014 International Conference on Future Communication Technology and Engineering (FCTE 2014)

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

Embedded systems and computational intelligence have been greatly developed in recent *** 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.

关键词： The design and realization of a handheld terminal for industrial control purposes,based on RFID and embedded Linux

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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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2014 AASRI International Conference on Applied Engineering Sciences（ICAES2014）

作者： H.X.Chang M.Q.Li S.Zhang Y.Ding Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

The subwavelength metal grating is designed and simulated by using the finite difference time domain(FDTD) *** transmission characteristics of subwavelength metal grating structure are studied based on the Lossy Drude dispersive medium *** influence of grating geometry parameters on the transmission characteristics are analyzed,especially for the zero transmission point location of the *** difference between the designed and conventional gratings is that the former introduces the resonant *** 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 *** influence rules provide an available reference for the design of the band-pass filters.

关键词： domain THz Research on the transmission enhancement properties of a novel subwavelength grating structure and mechanism

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An adaptive Spray and Wait routing algorithm based on Capability of Node in DTN

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Journal of Information and Computational Science 2014年第6期11卷 1975-1982页

作者： Wang, Guizhu Wang, Jie Wang, Bingting Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

Delay Tolerant Network (DTN) is an intermittently connected network where there is no complete path from source to destination for most of the time, and routing becomes one of the most challenging and open problems in DTN. To deal with this issue and avoid random and blindfold forwarding in Binary Spray and Wait (BSW) routing, we present the concept of CoN (Capability of Node), then propose the CoN-ASW routing algorithm, which uses the CoN to calculate the number of message copies to be forwarded and determine whether to forward messages to the encounter node. The simulation results show that the proposed algorithm can significantly improve the delivery utility while enhancing delivery rate and reduce the overhead. © 2014 Binary Information Press.

关键词： Delay tolerant networks

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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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2014 AASRI International Conference on Applied Engineering Sciences（ICAES2014）

作者： M.Peng M.Q.Li B.Rong Y.Ding Key Laboratory of Intelligent Computing & Signal Processing Ministry of EducationAnhui University

In this paper,a novel design of the Wideband Bandstop Filter,based on Split Ring Resonators,(SRR) is *** 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 *** the above two methods,the wideband bandstop characteristics can be *** 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 *** design of Band-stop Filter structure with three cascaded SRR-shaped DGS units is *** 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 ***,the insertion loss of passband is limited to 1.2 dB.

关键词： A novel wideband band-stop filter based on SRR DGS Filter SRR

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Robust Spatial Filters on Three-Class Motor Imagery EEG Data Using Independent Component Analysis

Robust Spatial Filters on Three-Class Motor Imagery EEG Data...

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2014春季国际工程与技术大会

作者： Bangyan Zhou Xiaopei Wu Lei Zhang Zhao Lv Xiaojing Guo The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University

Independent Component Analysis(ICA) was often used to separate movement related indepen-dent components(MRICs) from Electroencephalogram(EEG) data. However, to obtain robust spa-tial filters, complex characteristic features, which were manually selected in most cases, have been commonly used. This study proposed a new simple algorithm to extract MRICs automatically, which just utilized the spatial distribution pattern of ICs. The main goal of this study was to show the relationship between spatial filters performance and designing samples. The EEG data which contain mixed brain states(preparing, motor imagery and rest) were used to design spatial filters. Meanwhile, the single class data was also used to calculate spatial filters to assess whether the MRICs extracted on different class motor imagery spatial filters are similar. Furthermore, the spa-tial filters constructed on one subject's EEG data were applied to extract the others' MRICs. Finally, the different spatial filters were then applied to single-trial EEG to extract MRICs, and Support Vector Machine(SVM) classifiers were used to discriminate left hand、right-hand and foot imagery movements of BCI Competition IV Dataset 2a, which recorded four motor imagery data of nine subjects. The results suggested that any segment of finite motor imagery EEG samples could be used to design ICA spatial filters, and the extracted MRICs are consistent if the position of elec-trodes are the same, which confirmed the robustness and practicality of ICA used in the motor imagery Brain Computer Interfaces(MI-BCI) systems.

关键词： ICA Spatial Filter Motor Imagery BCI SVM

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Dense Invariant Feature Based Support Vector Ranking for Person Re-identification

Dense Invariant Feature Based Support Vector Ranking for Per...

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IEEE Global Conference on signal and Information processing

作者： Shoubiao Tan Feng Zheng Ling Shao Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei 230039 China Department of Electronic and Electrical Engineering The University of Sheffield Mappin Street Sheffield S1 3JD UK Department of Computer Science and Digital Technologies Northumbria University Newcastle upon Tyne NE1 8ST UK

ISBN: (纸本)9781479975921

Recently, support vector ranking has been adopted to address the challenging person re-identification problem. However, the ranking model based on ordinary global features cannot represent the significant variation of pose and viewpoint across camera views. Thus, a novel ranking method which fuses the dense invariant features is proposed in this paper to model the variation of images across camera views. By maximizing the margin and minimizing the error score for the fused features, an optimal space for ranking has been learned. Due to the invariance of the dense invariant features and the fusion of the bidirectional features, the proposed method significantly outperforms the original support vector ranking algorithm and is competitive with state-of-the-art techniques on two challenging datasets, showing its potential for real-world person re-identification.

关键词： Person Re-identification Dense Invariant Feature Support Vector Ranking Feature Fusion

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Speech intelligibility enhancement using convolutive non-negative matrix factorization with noise prior

International Journal of Multimedia and Ubiquitous Engineeri...

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International Journal of Multimedia and Ubiquitous Engineering 2014年第7期9卷 73-86页

作者： Zhou, Jian Fang, Xianyong Tao, Liang Zhao, Li Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University 230601 Hefei China Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Southeast University 210096 Nanjing China

We propose a convolutive non-negative matrix factorization method to improve the intelligibility of speech signal in the context of adverse noise environment. The noise bases are prior learned with Non-negative Matrix Factorization (NMF) algorithm. A modified convolutive NMF with sparse constraint is then derived to extract speech bases from noisy speech. The divergence function is selected as an objective function to get a multiplicative update of speech base and its corresponding weight. The weights of prior learned noise bases are also updated in the update rule. Listening experiments are conducted to assess the intelligibility performance of speech synthesized using the proposed algorithm. Experimental results indicate that the proposed method is very effective to improve the intelligibility of the noisy speech in various noise contexts and it outperforms conventional algorithms. © 2014 SERSC.

关键词： Non-negative matrix factorization

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Decision-making strategies for multi-objective community detection in complex networks

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 472卷 621-628页

作者： Zhang, Yu Zhang, Xingyi Tang, Jin Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China

ISBN: (纸本)9783662450482

Multi-objective optimization algorithms have demonstrated their effectiveness and efficiency in detecting community structure in complex networks, by which a set of trade-off partitions of networks are obtained instead of a single partition. The large number of partitions lead to a challenging problem for decision makers: how to obtain an ideal partition from the set of trade-off partitions of networks. In this paper, we present two decision-making strategies for obtaining the ideal partition, one is based on the knee points and the other is based on the majority voting. Experimental results on random networks and real-world networks illustrate that the presented two strategies are very competitive for obtaining an ideal partition of networks. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Complex networks

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Identity Recognition of Multi-Haptic Pressure Feature based on Sparse Representation

Identity Recognition of Multi-Haptic Pressure Feature based ...

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The 6th International Conference on Computer Research and Development

作者： Yan Zhang Dong Liang Ming Zhu Wenxia Bao Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Physics and Materials ScienceAnhui University School of Electronics and Information Engineering Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education

Herein,a new identity recognition method of multi-haptic pressure feature based on sparse representation was *** to the common dynamic features,the regional feature and the ratio of length *** of external bounding rectangle(extracted by using the least area method) were *** subset of dynamic feature was optimized by correlation criterion,the sparse representation of haptic pressure was obtained according to the sparse basis(i.e.,wavelet basis),and the sparse feature vector was calculated by the Topelitz measurement *** that,the haptic pressure feature set was created by combining dynamic feature subset and sparse feature subset ***,Support Vector Machine(SVM) classifier identified more than two objects following the one to many rule and output the identification result according to the rule of majority voting,and the stability of features is studied by calculating the intraclass correlation coefficient(ICC) and coefficient of variation(C.V).Overall,the improved acuracy of identity recognition demonstrating the effectiveness and stability of the multihaptic pressure feature.

关键词： dynamic feature sparse representation optimization correlation criterion recognition

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