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Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL)

作者： Kaifeng Cui Pingjuan Zhang Dongya Cheng Chunyang Jin Jundui Mu Jun Wang Minquan Li Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei China Anhui Science And Technology University China

ISBN: (数字)9781728153049

ISBN: (纸本)9781728153056

This letter presents a flexible antenna with artificial magnetic conductor (AMC). A CPW antenna is designed because its broadband characteristics with the relative bandwidth of 39.7% and 13.0% respectively. The proposed antenna operable at 2.45/5.8 GHz for wireless body area network applications and PDMS substrate is used makes the antenna thin and bendable. The AMC surface is integrated with the antenna to improve its radiation performance and to reduce the specific absorption rate (SAR). The 2 × 4 unit structure of AMC ensures a low profile with a thickness and a small size with the area of 50 * 100 mm 2 . The simulate result shows an AMC reflector increases the front-to-back ratio and antenna gain in free space. Moreover, the performance of the antenna with and without the AMC reflector under different crumpling conditions has been studied and presented, and the result shows the antenna performance is observed to be very robust against the effect of bending. The proposed wearable antenna structure can be used for wireless body area network (WBAN) wireless devices.

关键词： Wireless communication Electromagnetics Body area networks Broadband antennas Loaded antennas Photonics

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Harmonized-Multinational qEEG norms (HarMNqEEG)

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NEUROIMAGE 2022年 256卷 119190-119190页

作者： Li, Min Wang, Ying Lopez-Naranjo, Carlos Hu, Shiang Reyes, Ronaldo Cesar Garcia Paz-Linares, Deirel Areces-Gonzalez, Ariosky Hamid, Aini Ismafairus Abd Evans, Alan C. Savostyanov, Alexander N. Calzada-Reyes, Ana Villringer, Arno Tobon-Quintero, Carlos A. Garcia-Agustin, Daysi Yao, Dezhong Dong, Li Aubert-Vazquez, Eduardo Reza, Faruque Razzaq, Fuleah Abdul Omar, Hazim Abdullah, Jafri Malin Galler, Janina R. Ochoa-Gomez, John F. Prichep, Leslie S. Galan-Garcia, Lidice Morales-Chacon, Lilia Valdes-Sosa, Mitchell J. Trondle, Marius Zulkifly, Mohd Faizal Mohd Rahman, Muhammad Riddha Bin Abdul Milakhina, Natalya S. Langer, Nicolas Rudych, Pavel Koenig, Thomas Virues-Alba, Trinidad A. Lei, Xu Bringas-Vega, Maria L. Bosch-Bayard, Jorge F. Valdes-Sosa, Pedro Antonio [a]The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for Neuroinformation School of Life Science and Technology University of Electronic Science and Technology of China Chengdu China [b]Cuban Center for Neurocience La Habana Cuba [c]McGill Centre for Integrative Neuroscience Ludmer Centre for Neuroinformatics and Mental Health Montreal Neurological Institute Canada [d]Department of Neurosciences School of Medical Sciences Universiti Sains Malaysia Universiti Sains Malaysia Health Campus Kota Bharu Kelantan 16150 Malaysia [e]Brain and Behaviour Cluster School of Medical Sciences Universiti Sains Malaysia Health Campus Kota Bharu Kelantan 16150 Malaysia [f]Hospital Universiti Sains Malaysia Universiti Sains Malaysia Health Campus Kota Bharu Kelantan 16150 Malaysia [g]Humanitarian Institute Novosibirsk State University Novosibirsk 630090 Russia [h]Laboratory of Psychophysiology of Individual Differences Federal State Budgetary Scientific Institution Scientific Research Institute of Neurosciences and Medicine Novosibirsk 630117 Russia [i]Laboratory of Psychological Genetics at the Institute of Cytology and Genetics Siberian Branch of the Russian Academy of Sciences Novosibirsk 630090 Russia [j]University of Pinar del Río “Hermanos Saiz Montes de Oca” Pinar del Río Cuba [k]Department of Neurology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany [l]Department of Cognitive Neurology University Hospital Leipzig Leipzig Germany [m]Center for Stroke Research Charité-Universitätsmedizin Berlin Berlin Germany [n]Grupo Neuropsicología y Conducta - GRUNECO Faculty of Medicine Universidad de Antioquia Colombia [o]Research Department Institución Prestadora de Servicios de Salud IPS Universitaria Colombia [p]The Cuban center aging longevity and health Havana Cuba [q]Research Unit of NeuroInformation Chinese Academy of Medical Sciences Chengdu 2019RU035 China [r]School of Electrical Engineering Zhengzhou University Zhengzhou 4500

This paper extends frequency domain quantitative electroencephalography (qEEG) methods pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked integration of cross-spectral information omitting important functional connectivity descriptors. Lack of geographical diversity precluded accounting for site-specific variance, increasing qEEG nuisance variance. We ameliorate these weaknesses. (i) Create lifespan Riemannian multinational qEEG norms for cross-spectral tensors. These norms result from the HarMNqEEG project fostered by the Global Brain Consortium. We calculate the norms with data from 9 countries, 12 devices, and 14 studies, including 1564 subjects. Instead of raw data, only anonymized metadata and EEG cross spectral tensors were shared. After visual and automatic quality control, developmental equations for the mean and standard deviation of qEEG traditional and Riemannian DPs were calculated using additive mixed-effects models. We demonstrate qEEG "batch effects " and provide methods to calculate harmonized z-scores. (ii) We also show that harmonized Riemannian norms produce z-scores with increased diagnostic accuracy predicting brain dysfunction produced by malnutrition in the first year of life and detecting COVID induced brain dysfunction. (iii) We offer open code and data to calculate different individual z-scores from the HarMNqEEG dataset. These results contribute to developing bias-free, low-cost neuroimaging technologies applicable in various health settings.

关键词： Quantitative EEG EEG cross-spectrum Riemannian geometry Batch effects Z-score Harmonization Malnutrition Covid induced brain dysfunction Developmental Brain Chart

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Active Learning for Spam Email Classification

Active Learning for Spam Email Classification

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2019第二届算法、计算和人工智能国际会议

作者： Zheng Chen Ruiwen Tao Xiaoyang Wu Zhimin Wei Xiao Luo School of Information & Software Engineering University of Electronic Science & Technology of China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan China

Deep learning has yielded state-of-the-art performance on text classification tasks. In this paper, a new neural network based on Long-Short-Term-Memory model is applied to classify spam emails. Using deep learning method to classify spam emails requires large amounts of labeled data. To solve this problem, active learning method is used to reduce labeling cost and increase model adaptability. In this paper, it is found that the new model performs better than standard CNNs and RNNs on email classification task, and active learning methods can match stateof-the-art performance with just 10% of the labeled data.

关键词： Spam email classification active learning LSTM

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Multistage model for robust face alignment using deep neural networks

arXiv

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arXiv 2020年

作者： Wang, Huabin Cheng, Rui Zhou, Jian Tao, Liang Kwan, Hon Keung MOE Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei Anhui230601 China Department of Electrical and Computer Engineering University of Windsor WindsorONN9B 3P4 Canada

An ability to generalize unconstrained conditions such as severe occlusions and large pose variations remains a challenging goal to achieve in face alignment. In this paper, a multistage model based on deep neural networks is proposed which takes advantage of spatial transformer networks, hourglass networks and exemplar-based shape constraints. First, a spatial transformer - generative adversarial network which consists of convolutional layers and residual units is utilized to solve the initialization issues caused by face detectors, such as rotation and scale variations, to obtain improved face bounding boxes for face alignment. Then, stacked hourglass network is employed to obtain preliminary locations of landmarks as well as their corresponding scores. In addition, an exemplar-based shape dictionary is designed to determine landmarks with low scores based on those with high scores. By incorporating face shape constraints, misaligned landmarks caused by occlusions or cluttered backgrounds can be considerably improved. Extensive experiments based on challenging benchmark datasets are performed to demonstrate the superior performance of the proposed method over other state-of-the-art methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

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Research on Anti-jamming technology of Missile-borne SAR in Complex Electromagnetic Environment

Research on Anti-jamming Technology of Missile-borne SAR in ...

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Asian and Pacific Conference on Synthetic Aperture radar (APSAR)

作者： Shang Zhen Chen Baixiao The 38th Research Institute of China Electronics Technology Group Corporation Hefei China National Key Laboratory of Radar Signal Processing Xidian University Xi'an China

ISBN: (数字)9781728129129

ISBN: (纸本)9781728129136

Ballistic missile and anti-ship missile gradually equip Synthetic Aperture radar (SAR) precise guidance seeker to improve the accurate attack effect, when facing with an increasingly complex electromagnetic environment. radar as military application, the missile-borne SAR electromagnetic against should not be neglected. Missile-borne SAR seeker mainly faces active and passive jamming from the enemy. This paper summarizes various common types of electromagnetic jamming and briefly analyses its jamming mechanism. Finally, from the point of view of radar seeker system design and combat concept, various feasible anti-jamming means are discussed, which can provide reference for anti-jamming design and application of radar seeker.

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Optimized Gain of One-Pump Fiber Optical Parametric Amplifier by using Genetic Algorithm with Pump Depletion

Optimized Gain of One-Pump Fiber Optical Parametric Amplifie...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Zhenyu Zhu Jinli Zhang Hao Sui Le Cheng Hongna Zhu Xiaorong Gao School of Physical Science and Technology Southwest Jiaotong University Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu Sichuan China

An optimized method to determine the parameters of one-pump fiber optical parametric amplifier with pump depletion is illustrated by using genetic algorithm. The gain with wide bandwidth and high peak gain is obtained.

ISBN: (纸本)9781943580705

关键词： Genetic algorithms Nonlinear optical fibers Nonlinear parametric processes Numerical analysis Optical amplifiers Optical fibers

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New Framework for Code-Mapping-based Reversible Data Hiding in JPEG Images

arXiv

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arXiv 2020年

作者： Du, Yang Yin, Zhaoxia Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230601 China Anhui Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China School of Communication & Electronic Engineering East China Normal University Shanghai200241 China

Code mapping (CM) is an efficient technique for reversible data hiding (RDH) in JPEG images, which embeds data by constructing a mapping relationship between the used and unused codes in the JPEG bitstream. This study presents a new framework for designing a CM-based RDH method. First, a new code mapping strategy is proposed to suppress file size expansion and improve applicability. Based on our proposed strategy, the mapped codes are redefined by creating a new Huffman table rather than selecting them from the unused codes in the original Huffman table. The critical issue of designing the CM-based RDH method, that is, constructing code mapping, is converted into a combinatorial optimization problem. This study proposes a novel CM-based RDH method that utilizes a genetic algorithm (GA). The experimental results demonstrate that the proposed method achieves a high embedding capacity with no signal distortion while suppressing file size expansion. Copyright © 2020, The Authors. All rights reserved.

关键词： Mapping

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ISAR Imaging Based on Homotopy Re-Weighted ℓ1-Norm Minimization

ISAR Imaging Based on Homotopy Re-Weighted ℓ1-Norm Minimiza...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Yuexin Gao Xinyu Zhang Mengdao Xing Jixiang Fu Zijing Zhang Ying Wang National Laboratory of Radar Signal Processing Xidian University Xi‟an China School of Information Science and Engineering Lanzhou University Shaanxi Nonferrous Metals Holding Group Co. Ltd

A suitable regularization parameter plays an important role in sparse ISAR imaging algorithms. With a proper regularization parameter, the quality of ISAR images improves. In this paper, the Homotopy re-weighted ℓ1-norm minimization is applied to ISAR imaging. This method is able to choose the accurate regularization parameter for each point in ISAR image with high efficiency. As a result, the imaging results processed by this method contain more details of the target and less artificial points. Both simulated and real data experiments validate the feasibility of the proposed method.

关键词： Imaging Minimization radar imaging signal processing algorithms signal to noise ratio Image reconstruction Linear programming

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DOA estimation Of Underwater Wideband signals based on Improved OMP method

DOA estimation Of Underwater Wideband Signals based on Impro...

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OCEANS - Europe

作者： Zigao Li Shuqiu Li Jidong Jia Donghao Ju Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Institute of Acoustics Chinese Academy of Sciences Beijing China

In previous work, we proposed an improved Orthogonal Matching Pursuit (OMP) based local refining strategy, which is named LROMP_DOA. It turns out that LROMP_DOA is an efficient method for narrowband signal, which has significant higher bearing resolution and accuracy, compare with the conventional OMP_DOA. In this paper, we propose a coherent subspace method for extension of the LROMP_DOA to wideband signals. In this method, spatial resampling wideband focusing method is applied for focusing wideband signal energy to the reference frequency, then the LROMP_DOA is applied to the combined narrowband signal. The results of simulation experiments and the sea trial confirm the performance superiority of the proposed algorithm, such as low computational complexity, and better performance in low SNR situation.

关键词： Wideband Estimation Narrowband Direction-of-arrival estimation Focusing Matching pursuit algorithms signal processing algorithms

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System Design of GEO-LEO Bistaic SAR with High Resolution and Wide Swath 1

System Design of GEO-LEO Bistaic SAR with High Resolution an...

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1st IEEE International Conference on Mechatronics, Robotics and Automation, ICMRA 2018

作者： Zheng, Lv Shuhao, Liu Yuekun, Wang China Academy of Space Technology Beijing Institute of Spacecraft System Engineering Beijing China Xidian University National Laboratory of Radar Signal Processing Xian China

ISBN: (纸本)9781538652701

Bistatic synthetic aperture radar(SAR) consists of a GEO transmitter and a low-earth-orbit (LEO) receiver is capable of providing higher signal-to-noise ratio (SNR) and finer spatial resolution with less power consumption. Due to the complex geometry and huge big differences of the orbital characteristics, the system design of GEO-LEO BiSAR remains a challenge. In this paper, a novel system design method of azimuth multichannel GEO-LEO BiSAR is proposed. Firstly., the radar ambiguity is analyzed and the radar beam position is well designed for the high-resolution and wide-swath (HRWS) application. The channel joint digital beamforming technology is presented to solve the problem of determining the suitable pulse repetition frequency (PRF). Then., the key parameters., such as the signal bandwidth., the number of azimuth channels and the noise-equivalent sigma zero (NESZ)., are designed. Finally., simulation results verify that the performance of GEO-LEO BiSAR meets the requirement of HRWS application. © 2018 IEEE.

关键词： Synthetic aperture radar

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