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Fusion-based cooperative support identification for compressive networked sensing

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arXiv 2019年

作者： Yang, Ming-Hsun Wu, Jwo-Yuh Wang, Tsang-Yi Maunder, Robert G. Gau, Rung-Hung Department of Electrical and Computer Engineering National Chiao Tung University Taiwan Institute of Communications Engineering National Sun Yat-sen University Kaohsiung804 Taiwan Department of Electrical and Computer Engineering University of Southampton United Kingdom

This paper proposes a fusion-based cooperative support identification scheme for distributed compressive sparse signal recovery via resource-constrained wireless sensor networks. The proposed support identification protocol involves: (i) local sparse sensing for economizing data gathering and storage, (ii) local binary decision making for partial support knowledge inference, (iii) binary information exchange among active nodes, and (iv) binary data aggregation for support estimation. Then, with the aid of the estimated signal support, a refined local decision is made at each node. Only the measurements of those informative nodes will be sent to the fusion center, which employs a weighted 1-minimization for global signal reconstruction. The design of a Bayesian local decision rule is discussed, and the average communication cost is analyzed. computer simulations are used to illustrate the effectiveness of the proposed scheme. Copyright © 2019, The Authors. All rights reserved.

关键词： Compressed sensing

Closed-loop adaptation for weakly-supervised semantic segmentation

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arXiv 2019年

作者： Zhang, Zhengqiang Yu, Shujian Yin, Shi Peng, Qinmu You, Xinge School of Electronic Information and Communications Huazhong University of Science and Technology Department of Electrical and Computer Engineering University of Florida

Weakly-supervised semantic segmentation aims to assign each pixel a semantic category under weak supervisions, such as image-level tags. Most of existing weakly-supervised semantic seg-mentation methods do not use any feedback from segmentation output and can be considered as open-loop systems. They are prone to accumulated errors because of the static seeds and the sensitive structure information. In this paper, we propose a generic self-adaptation mecha-nism for existing weakly-supervised semantic segmentation methods by introducing two feedback chains, thus constituting a closed-loop system. Specifically, the first chain iteratively produces dynamic seeds by incorporating cross-image structure information, whereas the second chain fur-ther expands seed regions by a customized random walk process to reconcile inner-image structure information characterized by superpixels. Experiments on PASCAL VOC 2012 suggest that our network outperforms state-of-the-art methods with significantly less computational and memory burden. Copyright © 2019, The Authors. All rights reserved.

关键词： computer vision

Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation

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Shallow Vessel Segmentation Network for Automatic Retinal Ve...

International Joint Conference on Neural Networks (IJCNN)

作者： Tariq M. Khan Faizan Abdullah Syed S. Naqvi Muhammad Arsalan Muhamamd Aurangzeb Khan Faculty of Sci Eng & Built Env School of Info Technology Deakin University Victoria Australia Department of Electrical and Computer Engineering COMSATS University Islamabad Islamabad Pakistan Division of Electronics and Electrical Engineering Dongguk University Seoul Korea Computing and Communications Lancaster University Lancaster UK

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Accurate automatic segmentation of the retinal vessels is crucial for early detection and diagnosis of vision-threatening retinal diseases. This paper presents a lightweight convolutional neural network termed as Shallow Vessel Segmentation Network (SVSN) for vessel segmentation. To achieve semantic segmentation encoder-decoder structures embedded with spatial pyramid pooling modules are used. After checking the input features with pooling through multiple fields of view and rates, it becomes easy for the erstwhile networks to encode multi-scale contextual information. While boundaries for sharper objects are captured by the prevalent networks. Moreover, the need for pre- and post-processing steps are eradicated. Consequently, the detection accuracy is significantly improved with scores of 0.9625 and 0.9645 on DRIVE and STARE datasets respectively.

关键词： Image segmentation Feature extraction Semantics Task analysis Neural networks Retinal vessels

Deep neural network based active user detection for grant-free NOMA systems

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arXiv 2019年

作者： Kim, Wonjun Ahn, Yongjun Shim, Byonghyo Institute of New Media and Communications Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of

As a means to support the access of massive machine-type communication devices, grant-free access and non-orthogonal multiple access (NOMA) have received great deal of attention in recent years. In the grant-free transmission, each device transmits information without the granting process so that the basestation needs to identify the active devices among all potential devices. This process, called an active user detection (AUD), is a challenging problem in the NOMA-based systems since it is difficult to identify active devices from the superimposed received signal. An aim of this paper is to put forth a new type of AUD based on deep neural network (DNN). By applying the training data in the properly designed DNN, the proposed AUD scheme learns the nonlinear mapping between the received NOMA signal and indices of active devices. As a result, the trained DNN can handle the whole AUD process, achieving an accurate detection of the active users. Numerical results demonstrate that the proposed AUD scheme outperforms the conventional approaches in both AUD success probability and computational complexity. Copyright © 2019, The Authors. All rights reserved.

关键词： Deep neural networks

Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart

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Journal of communications and Information Networks 2019年第2期4卷 40-50页

作者： Ying-Chang Liang Ruizhe Long Qianqian Zhang Jie Chen Hei Victor Cheng Huayan Guo Center for Intelligent Networking and Communications(CINC) University of Electronic Science and Technology of China(UESTC)Chengdu 611731China National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengdu 611731China The Edward S.Rogers Sr.Department of Electrical and Computer Engineering University of TorontoToronto ON M5S 3G4Canada

Large intelligent surface/antennas(LISA),a two-dimensional artificial structure with a large number of reflective-surface/antenna elements,is a promising reflective radio technology to construct programmable wireless environments in a smart ***,each element of the LISA adjusts the reflection of the incident electromagnetic waves with unnatural properties,such as negative refraction,perfect absorption,and anomalous reflection,thus the wireless environments can be software-defined according to various design *** this paper,we introduce the reflective radio basics,including backscattering principles,backscatter communication,reflective relay,the fundamentals and implementations of LISA ***,we present an overview of the state-of-the-art research on emerging applications of LISA-aided wireless ***,the limitations,challenges,and open issues associated with LISA for future wireless applications are discussed.

关键词： reflective radio technology backscatter communication ambient backscatter communication LISA,reflective relay intelligent reflective surface symbiotic radio

Pinching-Antenna Systems (PASS)-enabled Secure Wireless communications

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arXiv 2025年

作者： Zhu, Guangyu Mu, Xidong Guo, Li Xu, Shibiao Liu, Yuanwei Al-Dhahir, Naofal Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing100876 China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China National Engineering Research Center for Mobile Internet Security Technology Beijing University of Posts and Telecommunications Beijing100876 China Queen’s University Belfast BelfastBT3 9DT United Kingdom Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Department of Electrical and Computer Engineering The University of Texas at Dallas RichardsonTX75080 United States

A novel pinching-antenna systems (PASS)-enabled secure wireless communication framework is proposed. By dynamically adjusting the positions of dielectric particles, namely pinching antennas (PAs), along the waveguides, PASS introduces a novel concept of pinching beamforming to enhance the performance of physical layer security. A fundamental PASS-enabled secure communication system is considered with one legitimate user and one eavesdropper. Both single-waveguide and multiple-waveguide scenarios are studied. 1) For the single-waveguide scenario, the secrecy rate (SR) maximization is formulated to optimize the pinching beamforming. A PA-wise successive tuning (PAST) algorithm is proposed, which ensures constructive signal superposition at the legitimate user while inducing a destructive legitimate signal at the eavesdropper. 2) For the multiple-waveguide scenario, artificial noise (AN) is employed to further improve secrecy performance. A pair of practical transmission architectures are developed: waveguide division (WD) and waveguide multiplexing (WM). The key difference lies in whether each waveguide carries a single type of signal or a mixture of signals with baseband beamforming. For the SR maximization problem under the WD case, a two-stage algorithm is developed, where the pinching beamforming is designed with the PAST algorithm and the baseband power allocation among AN and legitimate signals is solved using successive convex approximation (SCA). For the WM case, an alternating optimization algorithm is developed, where the baseband beamforming is optimized with SCA and the pinching beamforming is designed employing particle swarm optimization. Numerical results demonstrate that i) PASS can significantly improve the secrecy performance over conventional antenna systems in both scenarios;ii) the proposed PAST algorithm for the single-waveguide scenario is efficient, especially when the number of PAs is even or large;iii) WM provides higher and more stable perfo

关键词： Particle swarm optimization (PSO)

MIMO Beamforming Schemes for Hybrid SIC FD Radios with Imperfect Hardware and CSI

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MIMO Beamforming Schemes for Hybrid SIC FD Radios with Imper...

作者： Iimori, Hiroki De Abreu, Giuseppe Thadeu Freitas Alexandropoulos, George C. University of Electro-Communications Tokyo182-8585 Japan Department of Computer Science and Electrical Engineering Focus Area Mobility Jacobs University Bremen Campus Ring 1 Bremen28759 Germany Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens15784 Greece

We study a multiple-input multiple-output (MIMO) full-duplex (FD) radio system, aiming to increase the feasibility of this technology in bi-directional communications. In particular, we consider that the FD radios are equipped with the State-of-the-Art (SotA) hybrid SI cancellation (SIC) capabilities, but must cope with hardware (HW) and channel state information (CSI) imperfections, contributing four new MIMO beamforming (BF) schemes for such systems. The first is a transmit (TX) beamforming scheme designed via a Fractional Programming (FP) approach, matched with a minimum mean square error (MMSE) beamformer at the receiver. In this benchmark, the FP-based method, the signal to interference-plus-noise ratio (SINR) constraints are relaxed via the quadratic transform (QT), which allows for the SINR-constrained TX-power minimization problem to be solved using interior point methods. Motivated by the high complexity of the latter, three low-complexity alternatives are then derived, in which power minimization is performed via the Perron-Frobenius (PF) approach, while the TX-BF vectors are obtained, respectively, via direct Gradient Projection (GP), QT-relaxation, and via a Double Rayleigh Quotient (DRQ) reformulation of the original optimization problem. The simulation results confirm the significant gains achieved by all four schemes over the SotA, revealing the GP and DRQ as the overall best alternatives depending on power limitation, and HW/CSI qualities. © 2002-2012 IEEE.

关键词： Channel state information

Applications of Raman Spectroscopy in Clinical Medicine

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arXiv 2023年

作者： Qi, Yaping Chen, Esther Xinyi Hu, Dan Yang, Ying Wu, Zhenping Zheng, Ming Sadi, Mohammad A. Jiang, Yucheng Zhang, Kang Chen, Zi Chen, Yong P. Department of Engineering Science Faculty of Innovation Engineering Macau University of Science and Technology Av. Wai Long China Tohoku University Sendai980-8577 Japan Faculty of Medicine Macau University of Science and Technology Av. Wai Long China State Key Laboratory of Information Photonics and Optical Communications School of Science Beijing University of Posts and Telecommunications Beijing100876 China School of Materials Science and Physics China University of Mining and Technology Xuzhou221116 China Department of Physics and Astronomy Elmore Family School of Electrical and Computer Engineering Birck Nanotechnology Center Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application School of Physical Science and Technology Suzhou University of Science and Technology Jiangsu Suzhou215009 China Division of Thoracic Surgery Brigham and Women's Hospital Harvard Medical School 75 Francis Street BostonMA02115 United States Institute of Physics and Astronomy Villum Center for Hybrid Quantum Materials and Devices Aarhus University AarhusC 8000 Denmark

Raman spectroscopy provides spectral information related to the specific molecular structures of substances and has been well established as a powerful tool for studying biological tissues and diagnosing diseases. This article reviews recent advances in Raman spectroscopy and its applications in diagnosing various critical diseases, including cancers, infections, and neurodegenerative diseases, and in predicting surgical outcomes. These advances are explored through discussion of state-of-the-art forms of Raman spectroscopy, such as surface-enhanced Raman spectroscopy, resonance Raman spectroscopy, and tip-enhanced Raman spectroscopy employed in biomedical sciences. We discuss biomedical applications, including various aspects and methods of ex vivo and in vivo medical diagnosis, sample collection, data processing, and achievements in realizing the correlation between Raman spectra and biochemical information in certain diseases. Finally, we present the limitations of the current study and provide perspectives for future research. © 2023, CC BY.

关键词： COVID-19

Capacity of Wideband Multipath Fading Networks with Physically Degraded Broadcast

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Capacity of Wideband Multipath Fading Networks with Physical...

IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Diana C. González Salman Salamatian Muriel Médard Michel Daoud Yacoub Massachusetts Institute of Technology Research Laboratory of Electronics Department of Communications University of Campinas School of Electrical and Computer Engineering

In this work we investigate the capacity of multilayer relaying networks operating over multipath fading channels under a non-coherent wideband regime and physically degraded broadcast stages. First, based on hyper-graph models and network equivalence techniques, we derive an upper bound on the network capacity. Then, by considering a peaky, frequency-shift keying signaling scheme, we establish a set of point-to-point achievable rates for each communication link in the network. Finally, by capitalizing on this set of rates we devise an achievable transmission scheme for the entire network via network coding. Remarkably, it turns out that this achievable rate for the network coincides with its upper bound capacity. In other words, these results give ultimately the capacity of the investigated network.

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