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2017 International Conference on Computer technology, Electronics and Communication, ICCTEC 2017

作者： Shen, Yanni Wan, Qun Xia, Changxiong Wan, Yihe School of Electronic Engineering University of Electronic Science and Technology of China Chengdu China Key Lab of Blind Signal Processing 393 mailbox Chengdu China Jiangxi Province Engineering Research Center Special Wireless Communications Tongfang Electronic Technology Co. Ltd Jiujiang China

ISBN: (纸本)9781538657843

Spectrum sensing is a prerequisite for cognitive dio. This paper proposes a wideband spectrum sensing method based on ESPRIT algorithm for detecting active channels. In this method, it detects the occupied channels directly according to the relationship between the Fourier transform (FT) of the multicoset sampler's output sequences and the active channels, which can save a lot of sampling rate and reduce the computational complexity. And the performance of this method is evaluated by calculating the detection probabilities for different numbers of samples and different signals to noise ratios (SNRs). The simulation results show that the proposed method performs well in low SNR and less data samples. © 2017 IEEE.

关键词： signal to noise ratio

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Realization of remote sensing image segmentation based on K-means clustering

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IOP Conference Series: Materials science and Engineering 2019年第7期490卷

作者： Yanhong Wang Denghui Li Yuying Wang Guangxi Key Lab of Wireless Wideband Communication & Signal Processing Guilin China Institute Of Information Technology of Guilin University of Electronic Technology Key Laboratory of Cognitive Radio and Information Processing Ministry of Education (Guilin University of Electronic Technology) GUET Guilin China School of Computer Science and Information Security of GUET

Segmentation of remote sensing image is the key technology of positioning system. Firstly, we transform the remote sensing image from RGB pace to Lab space. Then, three centres are iterated by using K- means algorithm. Finally, in order to eliminate the influence, the closed operation of mathematical morphology is used to correct the segmented image. The results show that it can segment the road from the remote sensing image in lab mode, by using K-means clustering algorithm. Moreover, Lab mode is more suitable for k-mean than other modes.

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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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Adaptive backstepping control of grid-connected doubly-fed induction generator during grid voltage dip

Adaptive backstepping control of grid-connected doubly-fed i...

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International Conference on Electrical and Information Technologies (ICEIT)

作者： Oluwaseun Adekanle M. Guisser E. Abdelmounim M. Aboulfatah Faculty of Science and Technology Laboratory of Signal Analysis and Information Processing Settat Morocco

The most significant drawback of the grid-connected Doubly-Fed Induction Generator is its susceptibility to grid fault due to its stator windings being directly connected to the grid. The stator and rotor of the DFIG are electromagnetically coupled; therefore, the resulting stator current surge during low voltage dip provokes inrush current at the delicate back-to-back converters and an overcharge of the DC-link capacitor. When rotor current and DC-link voltage increase above their predefined Save Operating Zone (SOZ), rotor converters are damaged and active-reactive power control is consequently lost even after the fault is cleared. In this paper, a robust nonlinear disturbance rejection controller, under the context of Lyapunov stability theory, is first employed to control the Rotor and Grid Side Power Converters under normal grid conditions. Under grid fault, the nonlinear controller is then coupled with active crowbar and DC chopper protection schemes to ameliorate the performance of the DFIG system to ride through fault. Simulation of a 1.5MW wound rotor induction generator under MATLAB/SIMULINK is carried out using the PI-controller (PIC) and Adaptive Backstepping Controller (ABC).

关键词： Rotors Reactive power Mathematical model Voltage control Stator windings

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A method of fast extract signal subspace based on the householder transformation

A method of fast extract signal subspace based on the househ...

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2017 International Conference on Computer technology, Electronics and Communication, ICCTEC 2017

作者： Chang, Yu Wan, Qun Xia, Changxiong Wan, Yihe School of Electronic Engineering University of Electronic Science and Technology of China Chengdu China Key Lab of Blind Signal Processing 393 mailbox Chengdu China Jiangxi Province Engineering Research Center Special Wireless Communication Tongfang Electronic Techology Co. Ltd Jiujiang China

ISBN: (纸本)9781538657843

The technologies of array signal processing based on subspace decomposition can break the Rayleigh limit, and have great performance and angular resolution. However, in order to obtain signal subspace, traditional methods need to apply singular value decomposition on the signal covariance matrix. Because of the large amount of calculation of singular value decomposition, it is difficult to satisfy the requirements in real-time. Given that the signal covariance matrix is conjugate-symmetric, this paper proposes a new method that can fast compute signal subspace depending on repeatedly applying householder transformation to reduce the covariance matrix order based on the power method, and it has fewer iterations and less amount of calculation. © 2017 IEEE.

关键词： Covariance matrix

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Range-segment Motion Compensation based on Integrated INS for Wide-swath Synthetic Aperture Sonar

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IOP Conference Series: Materials science and Engineering 2019年第4期563卷

作者： Yu Zhang Rongxing Zhong Jiyuan Liu Linzhe Wei Peng Wang Pengfei Zhang Institute of Acoustics Chinese Academy of Sciences Beijing China Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China

Motion errors have severe effect on synthetic aperture sonar (SAS) imagery if worse than a fraction of a wavelength along the entire aperture. Not only currents, but vehicle instability randomly causes periodic motion errors in the synthetic aperture and grating lobes in the SAS images as well. Displaced phase center antenna referred to as micro-navigation has been developed with multiple-receiver SAS for a long time, but still has challenges against larger motion errors. The integrated inertial navigation system comprising an inertial navigation system (INS) and other aided sensors such as a Doppler Velocity Log (DVL) and a surface ship's Global Position System (GPS) is an unavoidable and trade-off solution to the problem of motion estimate, which is definitely more robust and reliable with the application of the multi-sensor data fusion. Besides, the motion error is variant along the slant range. For a better resolution of the wide-swath SAS, a range-segment motion compensation method based on the integrated inertial navigation system is presented in the paper. This method relies on the multi-sensor data fusion of the integrated inertial navigation system via Kalman filter and is found to significantly outperform the conventional method.

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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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Understanding metric-related pitfalls in image analysis validation

arXiv

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arXiv 2023年

作者： Reinke, Annika Tizabi, Minu D. Baumgartner, Michael Eisenmann, Matthias Heckmann-Nötzel, Doreen Kavur, A. Emre Rädsch, Tim Sudre, Carole H. Acion, Laura Antonelli, Michela Arbel, Tal Bakas, Spyridon Benis, Arriel Blaschko, Matthew B. Buettner, Florian Cardoso, M. Jorge Cheplygina, Veronika Chen, Jianxu Christodoulou, Evangelia Cimini, Beth A. Collins, Gary S. Farahani, Keyvan Ferrer, Luciana Galdran, Adrian van Ginneken, Bram Glocker, Ben Godau, Patrick Haase, Robert Hashimoto, Daniel A. Hoffman, Michael M. Huisman, Merel Isensee, Fabian Jannin, Pierre Kahn, Charles E. Kainmueller, Dagmar Kainz, Bernhard Karargyris, Alexandros Karthikesalingam, Alan Kenngott, Hannes Kleesiek, Jens Kofler, Florian Kooi, Thijs Kopp-Schneider, Annette Kozubek, Michal Kreshuk, Anna Kurc, Tahsin Landman, Bennett A. Litjens, Geert Madani, Amin Maier-Hein, Klaus Martel, Anne L. Mattson, Peter Meijering, Erik Menze, Bjoern Moons, Karel G.M. Müller, Henning Nichyporuk, Brennan Nickel, Felix Petersen, Jens Rafelski, Susanne M. Rajpoot, Nasir Reyes, Mauricio Riegler, Michael A. Rieke, Nicola Saez-Rodriguez, Julio Sánchez, Clara I. Shetty, Shravya Summers, Ronald M. Taha, Abdel A. Tiulpin, Aleksei Tsaftaris, Sotirios A. van Calster, Ben Varoquaux, Gaël Yaniv, Ziv R. Jäger, Paul F. Maier-Hein, Lena Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Intelligent Medical Systems Germany NCT Heidelberg A Partnership Between DKFZ University Medical Center Heidelberg Germany Heidelberg Division of Medical Image Computing Germany Heidelberg Division of Intelligent Medical Systems Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London London United Kingdom Instituto de Cálculo CONICET – Universidad de Buenos Aires Buenos Aires Argentina Centre for Medical Image Computing University College London London United Kingdom McGill University Montreal Canada Division of Computational Pathology Dept of Pathology & Laboratory Medicine Indiana University School of Medicine IU Health Information and Translational Sciences Building Indianapolis United States University of Pennsylvania Richards Medical Research Laboratories FL7 PhiladelphiaPA United States Department of Digital Medical Technologies Holon Institute of Technology Holon Israel European Federation for Medical Informatics Le Mont-sur-Lausanne Switzerland Center for Processing Speech and Images Department of Electrical Engineering KU Leuven Leuven Belgium partner site Frankfurt/Mainz a partnership between DKFZ and UCT Frankfurt Marburg Germany Heidelberg Germany Goethe University Frankfurt Department of Medicine Germany Goethe University Frankfurt Department of Informatics Germany and Frankfurt Cancer Insititute Germany Department of Computer Science IT University of Copenhagen Copenhagen Denmark Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. Dortmund Germany Imaging Platform Broad Institute of MIT and Harvard CambridgeMA United States Centre for Statistics in Medicine University of Oxford Oxford United Kingdom Center for Biomedical In

Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particularly in image analysis, metrics are often chosen inadequately. While taking into account the individual strengths, weaknesses, and limitations of validation metrics is a critical prerequisite to making educated choices, the relevant knowledge is currently scattered and poorly accessible to individual researchers. Based on a multi-stage Delphi process conducted by a multidisciplinary expert consortium as well as extensive community feedback, the present work provides the first reliable and comprehensive common point of access to information on pitfalls related to validation metrics in image analysis. While focused on biomedical image analysis, the addressed pitfalls generalize across application domains and are categorized according to a newly created, domain-agnostic taxonomy. The work serves to enhance global comprehension of a key topic in image analysis validation. © 2023, CC BY.

关键词： Computer vision

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Roll-pitch-yaw autopilot design for nonlinear time-varying missile using partial state observer based global fast terminal sliding mode control

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Chinese Journal of Aeronautics 2016年第5期29卷 1302-1312页

作者： Ahmed Awad Wang Haoping Sino-French International Joint Laboratory of Automatic Control and Signal Processing (LaFCAS) School of AutomationNanjing University of Science & Technology

The acceleration autopilot design for skid-to-turn （STT） missile faces a great challenge owing to coupling effect among planes, variation of missile velocity and its parameters, inexistence of a complete state vector, and nonlinear aerodynamics. Moreover, the autopilot should be designed for the entire flight envelope where fast variations exist. In this paper, a design of integrated roll-pitch-yaw autopilot based on global fast terminal sliding mode control （GFTSMC） with a partial state nonlinear observer （PSNLO） for STT nonlinear time-varying missile model, is employed to address these issues. GFTSMC with a novel sliding surface is proposed to nullify the integral error and the singularity problem without application of the sign function. The proposed autopilot consisting of two-loop structure, controls STT maneuver and stabilizes the rolling with a PSNLO in order to estimate the immeasurable states as an output while its inputs are missile measurable states and control signals. The missile model considers the velocity variation, gravity effect and parameters＇ variation. Furthermore, the environmental conditions＇ dynamics are mod- eled. PSNLO stability and the closed loop system stability are studied. Finally, numerical simulation is established to evaluate the proposed autopilot performance and to compare it with existing approaches in the literature.

关键词： Flight control system Global fast terminal slidingmode control Integrated autopilot Nonlinear state observer Skid-to-turn missile

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Optimal multi-photon entanglement concentration with the photonic Faraday rotation

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Chinese Physics B 2017年第2期26卷 56-62页

作者： Lan Zhou Dan-Dan Wang Xing-Fu Wang Shi-Pu Gu Yu-Bo Sheng College of Mathematics & Physics Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education) Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Electronic Science and Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Institute of Signal Processing Transmission Nanjing University of Posts and Telecommunications Nanjing 210003 China

We put forward an optimal entanglement concentration protocol（ECP） for recovering an arbitrary less-entangled multi-photon Greenberger–Horne–Zeilinger（GHZ） state into the maximally entangled GHZ state based on the photonic Faraday rotation in low-quality（Q） cavity. In the ECP, only one pair of less-entangled multi-photon GHZ state and one auxiliary photon are required, and the concentration task can be realized by local operations. Moreover, our ECP can be used repeatedly to further concentrate the discarded items of conventional ECPs, which can increase its success probability largely. Under the practical imperfect detection condition, our protocol can still work with relatively high success probability. This ECP has application potential in current and future quantum communication.

关键词： quantum communication entanglement concentration photonic Faraday rotation low-Q cavity

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