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IEEE International Conference on Electronic Information and Communication technology (ICEICT)

作者： Ming Liu Shichao Chen Fugang Lu Mengdao Xing Jingbiao Wei School of Computer Science Shaanxi Normal University Xi'an China Xi'an Modern Control Technology Research Institute Xi'an China National Laboratory of Radar Signal Processing Xidian University Xi'an China Army Aviation Research Institute Beijing China

ISBN: (数字)9781728190457

ISBN: (纸本)9781728190464

A synthetic aperture radar (SAR) target detection method based on the fusion of multiscale superpixel segmentations is proposed in this paper. SAR images are segmented between land and sea firstly by using superpixel technology in different scales. Secondly, image segmentation results together with the constant false alarm rate (CFAR) detection result are coalesced. Finally, target detection is realized by fusing different scale results. The effectiveness of the proposed algorithm is tested on Sentinel-1A data.

关键词： Image segmentation Conferences Object detection Detectors Radar polarimetry Information and communication technology Synthetic aperture radar

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An Online Updating Multi-Threshold Method for Mobility Relationship Mining 9

An Online Updating Multi-Threshold Method for Mobility Relat...

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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Zeng Chen Keren Wang Zhengguo Xu Jiaqi Yao National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781509038237;9781509038220

With the popularity of the mobile phones and location-based social networks, rich location data has become widely available nowadays, enabling study on friendship detection based on human mobility. However, in some circumstances, limited by data collection techniques, only discrete location（such as location IDs） can be fetched which leads to methods of detecting friendship based on distance metric is unrealistic. This paper aims to detect friendship among users based on their mobility data where locations are represented by location IDs. By considering each user’s preference for location and each location’s popularity, the difference between friends and strangers gets larger than using merely frequency of meeting events. However, we discover that measure values obtained may vary greatly among different users and propose to maintain a threshold for each user. In addition, an online updating algorithm is presented to update thresholds when a new user’s mobility data is available. Experiments conducted on MIT Reality Mining project dataset show that the proposed updating method is practical and the proposed multi-threshold model outperforms the state-of-theart methods proposed by Wang et al.

关键词： friendship detection multi-threshold mobility spatiotemporal online update

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Correction to: Underwater target detection with an attention mechanism and improved scale

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Multimedia Tools and Applications 2022年第17期82卷 27075-27075页

作者： Wei, Xiangyu Yu, Long Tian, Shengwei Feng, Pengcheng Ning, Xin College of Information Science and Engineering Xinjiang University Urumqi China College of Network Center Xinjiang University Urumqi China Signal and Signal Processing Laboratory College of Information Science and Engineering Xinjiang University Urumqi China College of Software Xinjiang University Urumqi China Key Laboratory of Software Engineering Technology College of Software Xin Jiang University Urumuqi China Institute of Semiconductors Chinese Academy of Sciences Beijing China

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An Equivalent Range Model Based on Time Resampling for High-Speed Maneuvering Platform SAR

An Equivalent Range Model Based on Time Resampling for High-...

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作者： Anyi Wang Xiaoyang Jiao Ping Guo Chunhui Lin College of Communication and Information Engineering Xi'an University of Science and Technology National Laboratory of Radar Signal Processing Xidian University

For the high-speed maneuvering platform SAR,the high-speed state will lead to stop-go assumption invalid and the forward acceleration would severely reduce the depth of focusing field in azimuth,thus the traditional range model with stop-go assumption will be *** this paper,the accurate range history is derived in a geometric configuration for high-speed maneuvering platform SAR and a new range equation is derived by transformation of bistatic to monostatic *** on the new range equation,the azimuth time resampling is proposed by which one can obtain a simplified range equation with a form similar to that of the conventional SAR *** the typical imaging methods can be applied directly without any *** results verify the effectiveness of the proposed method.

关键词： high-speed maneuvering platform azimuth time resampling range equation synthetic aperture radar(SAR)

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Flexible and Low Profile Antenna with AMC for Wireless Body Area Network Applications

Flexible and Low Profile Antenna with AMC for Wireless Body ...

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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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Weighted Multidimensional Scaling Localization of a Known Altitude Object Using TOA Measurements

Weighted Multidimensional Scaling Localization of a Known Al...

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2018 International Conference on Computer, Electronic Information and Communications(CEIC 2018)

作者： Bing DENG Yu-cheng WENG Zheng-bo SUN National Key Laboratory of Science and Technology on Blind Signal Processing China Southern Airlines

This paper considers the problem of geolocating a target on the Earth surface whose altitude is known using the target signal time of arrival(TOA) measurements. The geolocation Cramer-Rao lower bound(CRLB) is derived and the performance improvement due to the availability of target altitude information is quantified. An weighted multidimensional scaling geolocation solution is developed. Its sensitivity to the target altitude error is also studied. Simulations verify the theoretical developments and illustrate the good performance of the proposed geolocation method.

关键词： Time of arrival Multidimensional scaling Target altitude

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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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A Modified Information Embedding Scheme for the Integrated System of Radar and Communication

A Modified Information Embedding Scheme for the Integrated S...

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signal, Information and Data processing (ICSIDP), IEEE International Conference on

作者： Wenhua Wu Yunhe Cao Yutao Liu Science and Technology on Communication Networks Laboratory Shi jia zhuang China National Laboratory of Radar Signal Processing Xidian University Xi'an China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

This paper has proposed a modified information embedding scheme for the integrated system of radar and communication without influence on the mainlobe. Exploiting the waveform diversity of multiple-input multiple-output (MIMO) radar, the beamforming weight vectors are designed for constellation mapping to increase the data rate. Simulation results are presented to demonstrate the theoretical analysis.

关键词：

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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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