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TechRxiv 2022年

作者： Wang, Yuntao Su, Zhou Benslimane, Abderrahim Xu, Qichao Dai, Minghui Li, Ruidong School of Cyber Science and Engineering Xi’an Jiaotong University China Laboratory of Computer Sciences Avignon University France School of Mechatronic Engineering and Automation Shanghai University China State Key Laboratory of Internet of Things for Smart City University of Macau China Department of Electrical and Computer Engineering Kanazawa University Japan

The proliferation of unmanned aerial vehicles (UAVs) opens up new opportunities for on-demand service provisioning anywhere and anytime, but also exposes UAVs to a variety of cyber threats. Low/medium interaction honeypots offer a promising lightweight defense for actively protecting mobile Internet of things, particularly UAV networks. While previous research has primarily focused on honeypot system design and attack pattern recognition, the incentive issue for motivating UAV’s participation (e.g., sharing trapped attack data in honeypots) to collaboratively resist distributed and sophisticated attacks remains unexplored. This paper proposes a novel game-theoretical collaborative defense approach to address optimal, fair, and feasible incentive design, in the presence of network dynamics and UAVs’ multi-dimensional private information (e.g., valid defense data (VDD) volume, communication delay, and UAV cost). Specifically, we first develop a honeypot game between UAVs and the network operator under both partial and complete information asymmetry scenarios. The optimal VDD-reward contract design problem with partial information asymmetry is then solved using a contract-theoretic approach that ensures budget feasibility, truthfulness, fairness, and computational efficiency. In addition, under complete information asymmetry, we devise a distributed reinforcement learning algorithm to dynamically design optimal contracts for distinct types of UAVs in the time-varying UAV network. Extensive simulations demonstrate that the proposed scheme can motivate UAV’s cooperation in VDD sharing and improve defensive effectiveness, compared with conventional schemes. © 2022, CC BY-NC-SA.

关键词： Reinforcement learning

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Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach

arXiv

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arXiv 2022年

The proliferation of unmanned aerial vehicles (UAVs) opens up new opportunities for on-demand service provision anywhere and anytime, but also exposes UAVs to a variety of cyber threats. Low/medium interaction honeypots offer a promising lightweight defense for actively protecting mobile Internet of things, particularly UAV networks. While previous research has primarily focused on honeypot system design and attack pattern recognition, the incentive issue for motivating UAV’s participation (e.g., sharing trapped attack data in honeypots) to collaboratively resist distributed and sophisticated attacks remains unexplored. This paper proposes a novel game-theoretical collaborative defense approach to address optimal, fair, and feasible incentive design, in the presence of network dynamics and UAVs’ multi-dimensional private information (e.g., valid defense data (VDD) volume, communication delay, and UAV cost). Specifically, we first develop a honeypot game between UAVs and the network operator under both partial and complete information asymmetry scenarios. The optimal VDD-reward contract design problem with partial information asymmetry is then solved using a contract-theoretic approach that ensures budget feasibility, truthfulness, fairness, and computational efficiency. In addition, under complete information asymmetry, we devise a distributed reinforcement learning algorithm to dynamically design optimal contracts for distinct types of UAVs in the time-varying UAV network. Extensive simulations demonstrate that the proposed scheme can motivate UAV’s cooperation in VDD sharing and improve defensive effectiveness, compared with conventional schemes. Copyright © 2022, The Authors. All rights reserved.

关键词： Reinforcement learning

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Adaptive sliding mode control based on maximum power point tracking for boost converter of photovoltaic system under reference voltage optimizer

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Frontiers in Energy Research 2024年 12卷

作者： Torchani, Borhen Azar, Ahmad Taher Sellami, Anis Ahmed, Saim Hameed, Ibrahim A. Kasim Ibraheem, Ibraheem Al-Obaidi, Moamin Ibrahim Jameel LISIER Laboratory ENSIT University of Tunis Tunis Tunisia College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia Prince Sultan University Riyadh Saudi Arabia Faculty of Computers and Artificial Intelligence Benha University Benha Egypt Department of ICT and Natural Sciences Norwegian University of Science and Technology Alesund Norway Department of Electrical Engineering College of Engineering University of Baghdad Baghdad Iraq Department of Communication Technical Engineering Uruk University Baghdad Iraq

This article presents an innovative APISMC method applied to PVS, integrating the MPPT technique for a boost converter. The primary objective of this approach is to maximize the converter’s output power while ensuring optimal operation in the face of varying environmental conditions such as solar irradiance and temperature, while dynamically adapting to variations in system parameters, as demonstrated by the obtained results. To achieve this, a RVO is employed to generate reference voltage and power. A PI controller calculates the reference current based on this power. The APISMC control modeling utilizes all its reference variables to synthesize the sliding surface and duty cycle for optimal boost converter control. Simulations conducted demonstrate superior performance in terms of stability, speed, and control of the converter compared to traditional MPPT algorithms. The main contributions of this article include an improvement in system robustness against irradiance variations, thanks to the integration of an adaptive algorithm and a PI controller within the SMC. Moreover, the proposed theoretical and practical framework enables rapid MPPT attainment by adjusting the duty cycle in real-time, optimizing maximum power extraction and ensuring stable regulation even under non-ideal conditions. Copyright © 2024 Torchani, Azar, Sellami, Ahmed, Hameed, Kasim Ibraheem and Al-Obaidi.

关键词： Solar irradiance

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Matching-based service offloading for compute-less driven IoT networks

arXiv

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arXiv 2022年

作者： Nour, Boubakr Cherkaoui, Soumaya INTERLAB Research Laboratory Faculty of Engineering Department of Electrical and Computer Science Engineering Université de Sherbrooke SherbrookeQCJ1K 2R1 Canada

With the advent of the Internet of Things (IoT) and 5G networks, edge computing is offering new opportunities for business model and use cases innovations. Service providers can now virtualize the cloud beyond the data center to meet the latency, data sovereignty, reliability, and interoperability requirements. Yet, many new applications (e.g., augmented reality, virtual reality, artificial intelligence) are computationintensive and delay-sensitivity. These applications are invoked heavily with similar inputs that could lead to the same output. Compute-less networks aim to implement a network with a minimum amount of computation and communication. This can be realized by offloading prevalent services to the edge and thus minimizing communication in the core network and eliminating redundant computations using the computation reuse concept. In this paper, we present matching-based services offloading schemes for compute-less IoT networks. We adopt the matching theory to match service offloading to the appropriate edge server(s). Specifically, we design, WHISTLE, a vertical many-tomany offloading scheme that aims to offload the most invoked and highly reusable services to the appropriate edge servers. We further extend WHISTLE to provide horizontal one-to-many computation reuse sharing among edge servers which leads to bouncing less computation back to the cloud. We evaluate the efficiency and effectiveness of WHISTLE with a real-world dataset. The obtained findings show that WHISTLE is able to accelerate the tasks completion time by 20%, reduce the computation up to 77%, and decrease the communication up to 71%. Theoretical analyses also prove the stability of the designed schemes. © 2022, CC BY.

关键词： Internet of things

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Hierarchy-Aware and Channel-Adaptive Semantic Communication for Bandwidth-Limited Data Fusion

arXiv

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arXiv 2025年

作者： Guo, Lei Chen, Wei Sun, Yuxuan Ai, Bo Pappas, Nikolaos Quek, Tony State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University China School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Department of Computer and Information Science Linköping University Linköping Sweden Information Systems Technology and Design Singapore University of Technology and Design Singapore

Obtaining high-resolution hyperspectral images (HR-HSI) is costly and data-intensive, making it necessary to fuse low-resolution hyperspectral images (LR-HSI) with high-resolution RGB images (HR-RGB) for practical applications. However, traditional fusion techniques, which integrate detailed information into the reconstruction, significantly increase bandwidth consumption compared to directly transmitting raw data. To overcome these challenges, we propose a hierarchy-aware and channel-adaptive semantic communication approach for bandwidth-limited data fusion. A hierarchical correlation module is proposed to preserve both the overall structural information and the details of the image required for super-resolution. This module efficiently combines deep semantic and shallow features from LR-HSI and HR-RGB. To further reduce bandwidth usage while preserving reconstruction quality, a channel-adaptive attention mechanism based on Transformer is proposed to dynamically integrate and transmit the deep and shallow features, enabling efficient data transmission and high-quality HR-HSI reconstruction. Experimental results on the CAVE and Washington DC Mall datasets demonstrate that our method outperforms single-source transmission, achieving up to a 2 dB improvement in peak signal-to-noise ratio (PSNR). Additionally, it reduces bandwidth consumption by two-thirds, confirming its effectiveness in bandwidth-constrained environments for HR-HSI reconstruction tasks. Copyright © 2025, The Authors. All rights reserved.

关键词： Bandwidth

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The influence of proton radiation on the performance of silicon Mach-Zehnder modulator

The influence of proton radiation on the performance of sili...

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2021 Asia Communications and Photonics Conference, ACP 2021

作者： Han, Changhao Hu, Zhaoyi Tao, Yuansheng Fu, Engang Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks Department of Electronics School of Electronics Engineering and Computer Science Peking University Beijing100871 China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing100871 China

The influence of proton radiation on silicon Mach-Zehnder modulator performance was studied for space environment. The modulator was sensitive to proton radiation while still demonstrated a certain working ability aft... 详细信息

ISBN: (纸本)9781957171005

关键词： Silicon

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Single-shot volumetric fluorescence imaging with neural fields

arXiv

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arXiv 2024年

作者： Zhang, Oumeng Zhou, Haowen Feng, Brandon Y. Larsson, Elin M. Alcalde, Reinaldo E. Yin, Siyuan Deng, Catherine Yang, Changhuei Department of Electrical Engineering California Institute of Technology PasadenaCA91125 United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology CambridgeMA02139 United States Division of Biology and Biological Engineering California Institute of Technology PasadenaCA91125 United States Department of Medical Engineering California Institute of Technology PasadenaCA91125 United States

Single-shot volumetric fluorescence (SVF) imaging offers a significant advantage over traditional imaging methods that require scanning across multiple axial planes as it can capture biological processes with high temporal resolution. The key challenges in SVF imaging include requiring sparsity constraints, eliminating depth ambiguity in the reconstruction, and maintaining high resolution across a large field of view. In this paper, we introduce the QuadraPol point spread function (PSF) combined with neural fields, a novel approach for SVF imaging. This method utilizes a custom polarizer at the back focal plane and a polarization camera to detect fluorescence, effectively encoding the 3D scene within a compact PSF without depth ambiguity. Additionally, we propose a reconstruction algorithm based on the neural fields technique that provides improved reconstruction quality compared to classical deconvolution methods. QuadraPol PSF, combined with neural fields, significantly reduces the acquisition time of a conventional fluorescence microscope by approximately 20 times and captures a 100 mm3 cubic volume in one shot. We validate the effectiveness of both our hardware and algorithm through all-in-focus imaging of bacterial colonies on sand surfaces and visualization of plant root morphology. Our approach offers a powerful tool for advancing biological research and ecological studies. © 2024, CC BY.

关键词： Fluorescence imaging

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2D multiple waves scattering for active detection of a dummy human body in a low frequency range and for various boundary conditions 12

2D multiple waves scattering for active detection of a dummy...

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12th International Conference on Mathematical Modeling in Physical sciences, IC-MSQUARE 2023

作者： Bibcu, Dorin Florescu Culea, Anisia Moldovanu, Simona Moraru, Luminita The Modelling & Simulation Laboratory University "Dunǎrea de Jos" of Galati 47 Domneasca Street Galati800008 Romania University "Dunǎrea de Jos" of Galati Business Administration Department 59-61 N. Balcescu St. Galati800001 Romania Department of Electronics and Telecommunications Faculty of Automation Computers Electrical Engineering and Electronics Galati University "Dunǎrea de Jos" of Galati 47 Domneasca Str. Galati800008 Romania Department of Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics University 'Dunǎrea de Jos' of Galati 47 Domneasca Street Galati800008 Romania Department of Chemistry Physics & Environment Faculty of Sciences and Environment University "Dunǎrea de Jos" of Galati 47 Domneasca Street Galati800008 Romania

This paper investigates the results of simulations devoted to the acoustic field variation caused by different boundary conditions applied to the backscattering of the acoustic wave in both low and moderately low frequency ranges. The goal is to analyse the object behaviour and the detection ability of the 2D acoustic field approximations when the simulation data of the scattered sound field is available. The plane waves are backscattered by a dummy human body, positioned in a cabin which has a defined size. The dummy human body is created by using clusters of finite and disjointed but tangent circular cylinders. Each cylinder is a scatterer that emulates various boundary conditions i.e., the scatterers can be sound-soft (Dirichlet boundary condition) and sound-hard scatterers (Neumann boundary condition). The cylinders are filled with biological tissue (i.e., fat). The exterior scattering problem is solved using the preconditioned Krylov subspace iterative solvers (GMRES), as a computationally cheaper alternative. We use the hypothesis that the mass density of the obstacle and wave speed in the obstacle are both constant. During the simulation experiments, we neglected the interactions among scatterers. A frequency range from 100 Hz to 1000 Hz is analysed. Both the Sound Pressure Level (SPL) and Radar Cross Section (RCS) are used to analyse the numerical simulation of the sound field. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Acoustic fields

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Integrated Optoelectronic Memory Array with Enhanced Broadband Si-based Lines for advanced Visual Systems

Integrated Optoelectronic Memory Array with Enhanced Broadba...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Jinyong Wang Yujing Ren Baoshan Tang Changcun Li Fucai Liu Deen Gu School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China Chengdu PR China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore Department of Chemical and Biomolecular Engineering National University of Singapore Singapore Singapore State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Chengdu PR China

ISBN: (纸本)9781957171258

We present an innovative approach to optoelectronic memory that utilizes enhanced Si-based broadband lines integrated into an array to achieve stable synaptic functions, optical states and high recognition accuracy (99.64%) under near-infrared regions, paving the way for high-performance robot vision systems with advanced memory capabilities.

关键词： Machine vision Medical imaging Mueller matrices Near infrared radiation Thin films Visual system

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Learning noise via dynamical decoupling of entangled qubits

引用

Physical Review A 2023年第5期107卷 052610-052610页

作者： Trevor McCourt Charles Neill Kenny Lee Chris Quintana Yu Chen Julian Kelly Jeffrey Marshall V. N. Smelyanskiy M. I. Dykman Alexander Korotkov Isaac L. Chuang A. G. Petukhov Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Physics Co-Design Center for Quantum Advantage Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Google Quantum AI Santa Barbara California 93101 USA QuAIL NASA Ames Research Center Moffett Field California 94035 USA USRA Research Institute for Advanced Computer Science Mountain View California 94043 USA Department of Physics and Astronomy Michigan State University East Lansing Michigan 48824 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

Understanding noise in entangled systems is a prerequisite for developing scalable quantum computers. Here, we propose and apply multiqubit dynamical decoupling sequences that characterize noise during two-qubit gates. This noise is qualitatively different from the well-studied noise that leads to single-qubit dephasing; it simultaneously affects the two qubits, inducing fluctuations in their entangling parameter. In our superconducting system, the experimentally observed noise comes from coupler flux fluctuations and is observed to be non-Gaussian, leading to the stepwise decay of signals.

关键词： Quantum benchmarking Quantum coherence & coherence measures Quantum control Quantum engineering Quantum sensing

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