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2017 17th IEEE International Conference on Communication Technology (ICCT 2017)

作者： Lizhang Yang Yaohua Xu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education China Anhui University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education China Anhui University

Owing to OFDM Air Interface in the whole system bandwidth only support one fixed waveform parameter, the sidelobe of rectangular pulse frequency response is bigger and the attenuation is slower, which cause that the OFDM system has a sensitive to partial differential frequency rate, high frequency spectrum leakage and large out-of-band（OOB） interference. Therefore, the conventional OFDM can not adapt to 5 G in rich business scenarios. Thus, the Filtered-OFDM（FOFDM） is proposed as a candidate technique for 5 G high-data rate wireless communication system. In order to achieve better spectrum leakage performance compared with Hamming window in F-OFDM system, this paper proposes a kind filter that uses Nuttall’s Blackman-Harris window in the F-OFDM system, and analyzes the performance of different window functions in the F-OFDM. Simulation results show that the design of F-OFDM is easy to be implemented by Nuttall’s Blackman-Harris window, which has a very low OOB emission with the same bit error rate（BER） performance compared with the F-OFDM that is based on Hamming window and the conventional OFDM.

关键词： filtered-OFDM（F-OFDM） OOB BER Nuttall’s Blackman-Harris window 5G

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Influence updating and compactness enhanced approach for saliency detection 12

Influence updating and compactness enhanced approach for sal...

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12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017

作者： Zhang, Zhihua Liu, Zhengyi Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Anhui230000 China School of Computer Science and Technology Anhui University Hefei Anhui230000 China

ISBN: (纸本)9781538621035

Salient object detection aims to detect the attractive objects to human viewers in an image. In order to solve the low detection precision problem of existing algorithms, a new method based on influence updating and compactness feature is proposed. Firstly, it propagates the background information to the entire image by using influence updating algorithm and obtains the initial saliency map. Then, it introduces the compactness feature, a low-level cue of image, to obtain the compactness of regions by computing the difference of color space and location space respectively. Finally, initial saliency map is enhanced by the compactness feature and pixel-level saliency correction. Experiment results on MSRA-1000, CSSD and ECSSD databases demonstrate that the proposed method performs well against the state-of-the-art methods by fusing prior knowledges and visual cues in terms of accuracy. © 2017 IEEE.

关键词： Object detection

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Analysis of mutual inductance between non-coaxial rectangular coils with rectangular cross-section

Analysis of mutual inductance between non-coaxial rectangula...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Wenlong Pan Kaihong Song Key Laboratory of Intelligent Computing & Signal Processing Anhui University China

ISBN: (纸本)9781509043118

Magnetic coupling resonance wireless power transmission is a new technology to realize the wireless transmission of energy by means of high frequency coupling resonance between the coils. The variation of the coupling coil size and the relative position will change the mutual inductance between the windings, which will finally affect the characteristics of the infinite power transmission system. Using rectangular coil with rectangular cross-section as the analysis object, to research the calculation method of mutual inductance between non-coaxial rectangular coils, by subdividing and summation method to deduce the theory formula of the mutual inductance, to support wireless power transmission which consists of rectangular coils. In all cases, the formula programming calculation, the FEM software simulation and the experimental measurement results are consistent, which proves the correctness of the calculation method.

关键词： Inductance Coils Finite element analysis Software Couplings Wireless power transmission Programming

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An Image Denoising Method Based on Deep Residual GAN

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Journal of Physics: Conference Series 2020年第3期1550卷

作者： Ziyuan Wang Lidan Wang Shukai Duan Yunfei Li Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing 400715 China Schoolof Electronic and information engineering Southwest University Chongqing400715 China College of Artificiall Intelligence Southwest University Chongqing 400715 China Braininspired Computing & Intelligent Control of Chongqing Key Lab Chongqing 400715 China National & Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing 400715 China Chongqing Brain Science Collaborative Innovation Center Chongqing 400715 China

As people come into contact with image data more often, high quality and clear images attract more attention. Many methods have been proposed to deal with image noise problem including deep learning (DL). However most of them is lack of capability when customers want more perceptual details of the image without information loss. In this paper, a deep residual network based on generative adversarial (GAN) network was proposed to complete the image denoising mission. Firstly, a generative-adversarial network structure based on residual blocks was designed. Secondly, a refined loss function was given to train the GAN network. The well designed loss function can help the generated image to be very close to the clear counterpart (ground truth) while enhancing more details in colours and brightness. Finally, extensive experiments show that our network is not only convincing for images denoising, but also effective for other image process tasks, such as image defogging, medical CT denoising etc., presenting impressive and competitive effects.

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Fast simulations of electromagnetic scattering from 1-D rough surface through adaptively modified characteristic basis function method

Fast simulations of electromagnetic scattering from 1-D roug...

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International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： Jing Jing Wang An Qi Wang Zhi Xiang Huang Key Laboratory of intelligent Computing & Signal Processing Anhui University Hefei China

In this paper, the Adaptively Modified Characteristic Basis Function Method (AMCBFM) is proposed to fast simulate the electromagnetic scattering from one-dimensional rough surface. Firstly, the Primary Characteristic Basis Functions (PCBFs) arising from the self-interaction within the self-block are generated, and the coefficients of the basis function and the first current of each block are obtained. Secondly, the Secondary Characteristic Basis Functions (SCBFs) which account for the mutual coupling effects from the other distinct domains are obtained by using the inter-impedances. The higher SCBFs can be also derived through the same way. Finally, a new precision method is applied to control the current error, which is used to determine the order of the higher order SCBFs. By Comparing numerical simulations through the AMCBFM and the traditional Characteristic Basis Function Method (CBFM), the AMCBFM can guarantee the accuracy and void higher iteration, and the convergence performance is better than the CBFM in the lower order SCBFs. Moreover, by comparing numerical results of the AMCBFM and the method of moments (MoM), the AMCBFM can effectively reduce the size of the impedance matrix, and significantly reduce computing time.

关键词： Electromagnetic scattering Rough surfaces Surface roughness Method of moments Adaptation models Nickel

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Design of Two-turns Loop Antenna with Magnetic Core for Efficient Wireless Powering of Medical Telemetry

Design of Two-turns Loop Antenna with Magnetic Core for Effi...

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International Applied Computational Electromagnetics Society Symposium in China

作者： Yong Song Kaihong Song Xianliang Wu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University

ISBN: (纸本)9781509043118

We present an inductive powering system of a two-turns loop antenna which includes external and implanted antennas each with a cylinder magnetic core. It can wirelessly transfer power to loop antenna of a compact plane structure in cortex. Compared to single antenna without magnetic core, it can achieve highly-efficient (24.8%) wireless power transferring to implanted loop antenna and reduce the SAR to 83.2%. By improving the link power transfer efficiency and decreasing the SAR, we optimize the antenna's structural parameter. Then, we propose different liquid of concentrations to simulate human skin, which is used for power transmission experiment at 100MHz.

关键词： Transmitting antennas Antenna measurements Magnetic cores Wireless communication Skin Dielectrics

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Wide-band EM scattering from multiple dielectric targets above a dielectric rough sea surface based on maehly approximation

Wide-band EM scattering from multiple dielectric targets abo...

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International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： Ran Bao An Qi Wang Zhi Xiang Huang Key Laboratory of intelligent Computing & Signal Processing Anhui University Hefei China

In this paper an efficient method is proposed to simulate the wide-band electromagnetic (EM) scattering from multiple dielectric targets above a dielectric PM rough sea surface, which is based on Chebyshev series and Maehly approximation. Comparing with the traditional frequency domain algorithms, such as method of moments (MoM), the proposed algorithm is efficiently in reducing the computational time. Simulated results show that the Maehly approximation and the repeatedly simulations obtained by the MoM have achieved an excellent agreement both in horizontal and vertical polarization.

关键词： Method of moments Reflection coefficient Scattering Dielectrics Rough surfaces Surface roughness Sea surface

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A light and discriminative deep networks for off-line handwritten Chinese character recognition

A light and discriminative deep networks for off-line handwr...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Shimeng Yang Fudong Nian Teng Li Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei China

ISBN: (纸本)9781538629024

A practical method to improve the performance of off-line Handwritten Chinese Character Recognition (HCCR) was proposed in this paper. The center loss was used in face verification task to optimize intra-class distance. With the joint supervision of softmax loss and center loss, A light convolutional neural networks (CNNs) framework was trained for off-line HCCR which could optimize inter and intra difference simultaneously. Extensive experimental results on pubic dataset demonstrate that the performance of HCCR is improved significantly.

关键词： Character recognition Convolution Training Neural networks Databases Feature extraction Face

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A improved Prophet routing based on congestion level of nodes in DTN

A improved Prophet routing based on congestion level of node...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Guizhu Wang Jian Tao Hui Zhang Dong Pan Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University

The Prophet routing algorithm is a multi-copy algorithm which is based on historical information and transitive probability,which selects the relay node with a high probability to encounter the destin

ISBN: (纸本)9781467389808

关键词： Delay Tolerant Networks Node's Congestion Level Prophet Relay Node Trunk Node DTNA gene Ganglia Routing algorithms Messages Obstetric Delivery disruption-tolerant network

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Direct quantification for coronary artery stenosis using multiview learning

arXiv

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arXiv 2019年

作者： Zhang, Dong Yang, Guang Zhao, Shu Zhang, Yanping Zhang, Heye Li, Shuo Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China School of Computer Science and Technology Anhui University Hefei China Cardiovascular Research Centre Royal Brompton Hospital LondonSW3 6NP United Kingdom National Heart & Lung Institute Imperial College London LondonSW7 2AZ United Kingdom School of Biomedical Engineering Sun Yat-Sen University Shenzhen China Western University LondonON Canada

The quantification of the coronary artery stenosis is of significant clinical importance in coronary artery diseases diagnosis and intervention treatment. It aims to quantify the morphological indices of the coronary artery lesions such as minimum lumen diameter, reference vessel diameter, lesion length and these indices are the reference of the interventional stent placement. In this study, we propose a direct multiview quantitative coronary angiography (DMQCA) model as an automatic clinical tool to quantify the coronary artery stenosis from X-ray coronary angiography images. The proposed DMQCA model consists of a multiview module with two attention mechanisms, a key-frame module and a regression module, to achieve direct accurate multiple-index estimation. The multi-view module comprehensively learns the spatio-temporal features of coronary arteries through a three-dimensional convolution. The attention mechanisms of each view focus on the subtle feature of the lesion region and capture the important context information. The keyframe module learns the subtle features of the stenosis through successive dilated residual blocks. The regression module finally generates the indice estimation from multiple features. We evaluate the proposed model over 2100 X-ray coronary angiography images collected from 105 subjects from two viewpoints. Compared to other direct quantification methods, our DMQCA model achieves more accurate quantification, enabling to provide a patient-specic assessment of coronary artery stenosis. Copyright © 2019, The Authors. All rights reserved.

关键词： Heart

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