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Computing on Surface: A Multi-Task Multi-Access Offloading Scheme in Maritime Edge Networks

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Computing on Surface: A Multi-Task Multi-Access Offloading S...

Cloud and Network Computing (ICCNC), International Conference on

作者： Minghui Dai Chenglong Dou Yuan Wu Liping Qian Bin Lin Zhou Su Xuemin Sherman Shen State Key Laboratory of Internet of Things for Smart City University of Macau Macau China Zhuhai UM Science & Technology Research Institute Zhuhai China College of Information Engineering Zhejiang University of Technology Hangzhou China Department of Communication Engineering Dalian Maritime University Dalian China School of Cyber Science and Engineering Xi’an Jiaotong University Xi’an China Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada

ISBN: (数字)9798350367805

ISBN: (纸本)9798350367812

The recent development of unmanned aerial vehicles (UAVs) technology has been envisioned as a promising paradigm to cater for the growing maritime activities. However, the increasing growth of marine services poses challenges for processing maritime data. In this paper, we propose a surface computing paradigm in maritime networks, in which multi-task sensed by UAVs can be offloaded to multiple beacon stations. Multiple UAVs can process their workloads locally or offload to surface computing. Taking the system welfare and energy consumption into consideration, we present an optimization problem to determine the selection of beacon stations and the offloading decision, with the objective of maximizing the system welfare. We propose a hybrid auction and convex optimization approach to address the formulated problem. Finally, simulation results demonstrate the effectiveness of our proposed algorithms compared to several baselines.

关键词： Energy consumption Simulation Multitasking Autonomous aerial vehicles Convex functions Task analysis Surface treatment

Ultra-wideband stealth antenna system based on multilayer wave-absorbing structure

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Ultra-wideband stealth antenna system based on multilayer wa...

International Applied Computational Electromagnetics Society Symposium (ACES)

作者： X. Chen X. W. Chen P. F. Gu Z. He J. X. Wang D. Z. Ding Department of Communication Engineering Nanjing University of Science and Technology Nanjing China State Key Laboratory of Millimeter Waves Southeast University Nanjing China National Key Laboratory of Science and Technology on Space Microwave China Academy of Space Technology Xi’an

In the paper, an ultrawideband low-profile miniaturized stealth antenna system built on a multilayer absorbing structure is proposed. Firstly, an ultra-wideband tight dipole (TCA) is selected as the antenna unit in this paper, based on which the steganographic effect is simulated for the free-space infinite array using the master-slave boundary conditions and Floquet port excitation of ANSYS HFSS software After that, a frequency-selective absorption super surface was loaded in the system to achieve an antenna operating band of 2-18 GHz with RCS reduction of 10 dB at 8.5-18 GHz and 5 dB at 18-26 GHz, with an average antenna efficiency of 56.7% (including antenna standing wave loss).

关键词： Absorption Dipole antennas Surface waves Nonhomogeneous media Ultra wideband antennas Software Main-secondary

Temporal-Assisted Beamforming and Trajectory Prediction in Sensing-Enabled UAV communications

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IEEE Transactions on communications 2024年

作者： Zhou, Shengcai Yang, Halvin Xiang, Luping Yang, Kun University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China University College London Department of Electronic and Electrical Engineering LondonWClE 7JE United Kingdom Nanjing University State Key Laboratory of Novel Software Technology Nanjing210008 China Nanjing University Suzhou Campus School of Intelligent Software and Engineering Suzhou215163 China

In the evolving landscape of high-speed communication, the shift from traditional pilot-based methods to a Sensing-Oriented Approach (SOA) is anticipated to gain momentum. This paper delves into the development of an innovative Integrated Sensing and communication (ISAC) framework, specifically tailored for beamforming and trajectory prediction processes. Central to this research is the exploration of an Unmanned Aerial Vehicle (UAV)-enabled communication system, which seamlessly integrates ISAC technology. This integration underscores the synergistic interplay between sensing and communication capabilities. The proposed system initially deploys omnidirectional beams for the sensing-focused phase, subsequently transitioning to directional beams for precise object tracking. This process incorporates an Extended Kalman Filtering (EKF) methodology for the accurate estimation and prediction of object states. A novel frame structure is introduced, employing historical sensing data to optimize beamforming in real-time for subsequent time slots, a strategy we refer to as 'temporal-assisted' beamforming. To refine the temporal-assisted beamforming technique, we employ Successive Convex Approximation (SCA) in tandem with Iterative Rank Minimization (IRM), yielding high-quality suboptimal solutions. Comparative analysis with conventional pilot-based systems reveals that our approach yields a substantial improvement of 156% in multi-object scenarios and 136% in single-object scenarios. © 1972-2012 IEEE.

关键词： Extended Kalman filters

Downstream-agnostic Adversarial Examples

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arXiv 2023年

作者： Zhou, Ziqi Hu, Shengshan Zhao, Ruizhi Wang, Qian Zhang, Leo Yu Hou, Junhui Jin, Hai School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Computer Science and Technology Huazhong University of Science and Technology China School of Cyber Science and Engineering Wuhan University China School of Information and Communication Technology Griffith University Australia Department of Computer Science City University of Hong Kong Hong Kong National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security China Hubei Engineering Research Center on Big Data Security China Cluster and Grid Computing Lab

Self-supervised learning usually uses a large amount of unlabeled data to pre-train an encoder which can be used as a general-purpose feature extractor, such that downstream users only need to perform fine-tuning operations to enjoy the benefit of "large model". Despite this promising prospect, the security of pre-trained encoder has not been thoroughly investigated yet, especially when the pre-trained encoder is publicly available for commercial use. In this paper, we propose AdvEncoder, the first framework for generating downstream-agnostic universal adversarial examples based on the pre-trained encoder. AdvEncoder aims to construct a universal adversarial perturbation or patch for a set of natural images that can fool all the downstream tasks inheriting the victim pre-trained encoder. Unlike traditional adversarial example works, the pre-trained encoder only outputs feature vectors rather than classification labels. Therefore, we first exploit the high frequency component information of the image to guide the generation of adversarial examples. Then we design a generative attack framework to construct adversarial perturbations/patches by learning the distribution of the attack surrogate dataset to improve their attack success rates and transferability. Our results show that an attacker can successfully attack downstream tasks without knowing either the pre-training dataset or the downstream dataset. We also tailor four defenses for pre-trained encoders, the results of which further prove the attack ability of AdvEncoder. Our codes are available at: https://github. com/CGCL-codes/AdvEncoder. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

Multi-Functional Beamforming Design for Integrated Sensing, communication, and Computation

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arXiv 2024年

作者： Zhao, Yapeng Wu, Qingqing Chen, Wen Zeng, Yong Liu, Ruiqi Mei, Weidong Hou, Fen Ma, Shaodan The State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China The Department of Electronic Engineering Shanghai Jiao Tong University 200240 China The National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing210096 China The Purple Mountain Laboratories Nanjing211111 China The State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE Corporation Shenzhen518057 China The National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China Chengdu611731 China The State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China

Integrated sensing and communication (ISAC) systems may face a heavy computation burden since the sensory data needs to be further processed. This paper studies a novel system that integrates sensing, communication, and computation, aiming to provide services for different objectives efficiently. This system consists of a multi-antenna multi-functional base station (BS), an edge server, a target, and multiple single-antenna communication users. The BS needs to allocate the available resources to efficiently provide sensing, communication, and computation services. Due to the heavy service burden and limited power budget, the BS can partially offload the tasks to the nearby edge server instead of computing them locally. We consider the estimation of the target response matrix, a general problem in radar sensing, and utilize Cramér-Rao bound (CRB) as the corresponding performance metric. To tackle the non-convex optimization problem, we propose both semidefinite relaxation (SDR)-based alternating optimization and SDR-based successive convex approximation (SCA) algorithms to minimize the CRB of radar sensing while meeting the requirement of communication users and the need for task computing. Furthermore, we demonstrate that the optimal rank-one solutions of both the alternating and SCA algorithms can be directly obtained via the solver or further constructed even when dealing with multiple functionalities. Simulation results show that the proposed algorithms can provide higher target estimation performance than state-of-the-art benchmarks while satisfying the communication and computation constraints. Copyright © 2024, The Authors. All rights reserved.

关键词： Approximation algorithms

Robust DNA-Bridged Memristor for Textile Chips

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Angewandte Chemie 2020年第31期132卷 12862-12868页

作者： Xu X. Zhou X. Wang T. Shi X. Liu Y. Zuo Y. Xu L. Wang M. Hu X. Yang X. Chen J. Chen L. Chen P. Peng H. State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science and Laboratory of Advanced Materials Fudan University Shanghai 200438 China State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 China International Research Center for Renewable Energy State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiao Tong University Shannxi 710049 China State Key Laboratory of Surface Physics Fudan University Shanghai 200438 China Department of Materials Science Fudan University Shanghai 200438 China

Electronic textiles may revolutionize many fields, such as communication, health care and artificial intelligence. To date, unfortunately, computing with them is not yet possible. Memristors are compatible with the interwoven structure and manufacturing process in textiles because of its two-terminal crossbar configuration. However, it remains a challenge to realize textile memristors owing to the difficulties in designing advanced memristive materials and achieving high-quality active layers on fiber electrodes. Herein we report a robust textile memristor based on an electrophoretic-deposited active layer of deoxyribonucleic acid (DNA) on fiber electrodes. The unique architecture and orientation of DNA molecules with the incorporation of Ag nanoparticles offer the best-in-class performances, e.g., both ultra-low operation voltage of 0.3 V and power consumption of 100 pW and high switching speed of 20 ns. Fundamental logic calculations such as implication and NAND are demonstrated as functions of textile chips, and it has been thus integrated with power-supplying and light emitting modules to demonstrate an all-fabric information processing system. © 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

关键词： DNA fiber electronics logic-in-memory computing memristors nanoparticles

Miniaturized Computational Photonic Molecule Spectrometer

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arXiv 2023年

作者： Zhang, Yujia Guo, Xuhan Albrow-Owen, Tom Zhao, Zhenyu Zhao, Yaotian Hasan, Tawfique Yang, Zongyin Su, Yikai State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University China College of Information Science and Electronic Engineering Zhejiang University Hangzhou China Department of Engineering University of Cambridge CambridgeCB3 0FA United Kingdom

Miniaturized spectrometry system is playing an essential role for materials analysis in the development of in-situ or portable sensing platforms across research and industry. However, there unavoidably exists trade-offs between the resolution and operation bandwidth as the device scale down. Here, we report an extreme miniaturized computational photonic molecule (PM) spectrometer utilizing the diverse spectral characteristics and mode-hybridization effect of split eigenfrequencies and super-modes, which effectively eliminates the inherent periodicity and expands operation bandwidth with ultra-high spectral resolution. These results of dynamic control of the frequency, amplitude, and phase of photons in the photonic multi-atomic systems, pave the way to the development of benchtop sensing platforms for applications previously unfeasible due to resolution-bandwidth-footprint limitations, such as in gas sensing or nanoscale biomedical sensing. Copyright © 2023, The Authors. All rights reserved.

关键词： Spectrometers

SFNS: Spatial-frequency image noise suppression for low-power industrial cone-beam computed tomography

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Applied Intelligence 2025年第11期55卷 1-15页

作者： Zhu, Yimin Wu, Xing Yao, Junfeng Qian, Quan Song, Jun Gao, Shouwei School of Computer Engineering and Science Shanghai University Shanghai China Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China Wuxi Zhongdun Technology Co. Ltd Changzhou China CSSC Seago System Technology Co. Ltd Ningbo China Key Laboratory of Silicate Cultural Relics Conservation (Shanghai University) Ministry of Education Shanghai China Department of Geography Hong Kong Baptist University Hong Kong China School of Mechanical and Electrical Engineering and Automation Shanghai University Shanghai China

With the widespread use of industrial computed tomography (CT) in semiconductor manufacturing, the noise in tomographic images from low-power radiation sources has become an increasingly prominent issue, which severely impacts the detection and processing tasks. In this paper, a spatial-frequency image noise suppression model (SFNS) is proposed to suppress noise while maintaining structural details in the image. A hybrid loss with spatial-frequency dual-domain information is designed to resolve spatial-domain limitations in optimization through complex-discrepancy-based spherical region separation criterion. To address the coupled noise characteristics in low-power CT systems, a stochastic noise degradation training strategy is designed to dynamically emulate fluctuations in real noise environments, and the network architecture integrates checkerboard sampling with cascaded residual stacks to enhance detail perception and reduce computational overhead. Experimental results demonstrate that SFNS achieves PSNR 32.14dB and SSIM 0.8896. Both quantitative metrics and qualitative evaluations validate the effectiveness of the proposed method in balancing structural fidelity and noise suppression.

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Ultra-compact beam steering nanolasers

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arXiv 2024年

作者： Chen, Xinghong Gu, Mingxuan Tang, Jiankai Sang, Yungang Xiang, Bingrui Zhang, Kong Zhang, Guanjie Wang, Xingyuan Guo, Xuhan Zhou, Linjie Wu, Wengang Mao, Yifei School of Sensing Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China College of Mathematics and Physics Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China National Key Laboratory of Science and Technology on Micro/Nano Fabrication School of Integrated Circuits Peking University Beijing100871 China Beijing Advanced Innovation Center for Integrated Circuits Beijing100871 China Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China

The miniaturization and integration of beam steering devices have consistently been the focus of the field. Conventional methods alter the eigenmode of the optical cavity by regulating the refractive index. Due to the weak nonlinear effect of the optical system, the device must be sufficiently large to achieve sufficient light modulation. The effective method for miniaturizing beam steering devices currently in use is based on metasurfaces. However, this type of device necessitates the input of a laser source, which precludes the simultaneous generation and control of light in a single device. Here we propose a miniaturized beam steering device that employs mode selection between different bound states in the continuum (BIC) states through phase change material. The device is capable of simultaneously achieving both light generation and beam steering (33°) in a single device with a size of only 25 μm and with a low threshold of 8.9 kW cm-2. Furthermore, it is possible to achieve a significant degree of dynamic wavelength tunability, with a range extending up to 296 nm. This method achieves high-efficient regulation of light properties by dynamically controlling the system’s topological charge, circumventing the problem of weak nonlinearity in traditional methods. Furthermore, the integration of phase change materials with nanolasers enables the direct alteration of lasing properties, which provides a novel idea for dynamic light control. The device process scheme based on phase change materials is straightforward, direct, and highly compatible, which will be advantageous for its intended application. Copyright © 2024, The Authors. All rights reserved.

关键词： Phase change materials