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arXiv 2021年

作者： Jin, Zhongwei Janoschka, David Deng, Junhong Ge, Lin Dreher, Pascal Frank, Bettina Hu, Guangwei Ni, Jincheng Yang, Yuanjie Li, Jing Yu, Changyuan Lei, Dangyuan Li, Guixin Xiao, Shumin Mei, Shengtao Giessen, Harald zu Heringdorf, Frank Meyer Qiu, Cheng-Wei Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore117583 Singapore College of Optical and Electronic Technology China Jiliang University Hangzhou310018 China University of Duisburg–Essen Lotharstrasse 1-21 Duisburg47057 Germany Department of Materials Science and Engineering Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China Beijing Qianjunyide Technology Co. Ltd. Beijing100031 China University of Stuttgart StuttgartD-70569 Germany School of Physics University of Electronic Science and Technology of China Chengdu611731 China Key Laboratory of Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing100190 China Department of Electronic and Information Engineering Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Hong Kong Department of Materials Science and Engineering City University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong Hong Kong State Key Laboratory on Tunable Laser Technology Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Shenzhen Graduate School Harbin Institute of Technology Shenzhen518055 China

Nanophotonic platforms such as metasurfaces, achieving arbitrary phase profiles within ultrathin thickness, emerge as miniaturized, ultracompact and kaleidoscopic optical vortex generators. However, it is often required to segment or interleave independent sub-array metasurfaces to multiplex optical vortices in a single nano-device, which in turn affects the device’s compactness and channel capacity. Here, inspired by phyllotaxis patterns in pine cones and sunflowers, we theoretically prove and experimentally report that multiple optical vortices can be produced in a single compact phyllotaxis nanosieve, both in free space and on a chip, where one meta-atom may contribute to many vortices simultaneously. The time-resolved dynamics of on-chip interference wavefronts between multiple plasmonic vortices was revealed by ultrafast time-resolved photoemission electron microscopy. Our nature-inspired optical vortex generator would facilitate various vortex-related optical applications, including structured wavefront shaping, free-space and plasmonic vortices, and high-capacity information metaphotonics. Copyright © 2021, The Authors. All rights reserved.

关键词： Plasmonics

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Deep Learning Trackers Review and Challenge

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Journal of Information Hiding and Privacy Protection 2019年第1期1卷 23-33页

作者： Yongxiang Gu Beijing Chen Xu Cheng Yifeng Zhang Jingang Shi School of Computer and Software Nanjing University of Information Science and Technology210044China School of Information Science and Engineering Southeast University210096China State Key Laboratory for Novel Software Technology Nanjing UniversityChina The Center for Machine Vision and Signal Analysis University of OuluFI-90014 OuluFinland

Recently,deep learning has achieved great success in visual *** goal of this paper is to review the state-of-the-art tracking methods based on deep ***,we categorize the existing deep learning based trackers into three classes according to network structure,network function and network *** each categorize,we analyze papers in different ***,we conduct extensive experiments to compare the representative methods on the popular OTB-100,TC-128 and VOT2015 *** on our *** conclude that:(1)The usage of the convolutional neural network(CNN)model could significantly improve the tracking performance.(2)The trackers with deep features perform much better than those with low-level hand-crafted features.(3)Deep features from different convolutional layers have different characteristics and the effective combination of them usually results in a more robust tracker.(4)The deep visual trackers using end-to-end networks usually perform better than the trackers merely using feature extraction networks.(5)For visual tracking,the most suitable network training method is to per-train networks with video information and online fine-tune them with subsequent ***,we summarize our manuscript and highlight our insights,and point out the further trends for deep visual tracking.

关键词： Deep learning CNN object tracking online learning

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Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks

Deep Reinforcement Learning for Fresh Data Collection in UAV...

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IEEE Conference on computer Communications Workshops, INFOCOM Wksps

作者： Mengjie Yi Xijun Wang Juan Liu Yan Zhang Bo Bai Science and Technology on Communication Network Laboratory Shijiazhuang Hebei China Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai China School of Electrical Engineering and Computer Science Ningbo University Zhejiang China Theory Lab (FKA Future Network Theory Lab) 2012 Labs Huawei Technologies Co. Ltd. Hong Kong

ISBN: (数字)9781728186955

ISBN: (纸本)9781728186962

Due to the flexibility and low operational cost, dispatching unmanned aerial vehicles (UAVs) to collect information from distributed sensors is expected to be a promising solution in Internet of Things (IoT), especially for time-critical applications. How to maintain the information freshness is a challenging issue. In this paper, we investigate the fresh data collection problem in UAV-assisted IoT networks. Particularly, the UAV flies towards the sensors to collect status update packets within a given duration while maintaining a non-negative residual energy. We formulate a Markov Decision Process (MDP) to find the optimal flight trajectory of the UAV and transmission scheduling of the sensors that minimizes the weighted sum of the age of information (AoI). A UAV-assisted data collection algorithm based on deep reinforcement learning (DRL) is further proposed to overcome the curse of dimensionality. Extensive simulation results demonstrate that the proposed DRL-based algorithm can significantly reduce the weighted sum of the AoI compared to other baseline algorithms.

关键词： Sensors Trajectory Data collection Unmanned aerial vehicles Internet of Things Wireless sensor networks Energy consumption

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Helios 2 observations of solar wind turbulence decay in the inner heliosphere

arXiv

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arXiv 2023年

作者： Sorriso-Valvo, Luca Marino, Raffaele Raffaello, Foldes Lévêque, Emmanuel D'Amicis, Raffaella Bruno, Roberto Telloni, Daniele Yordanova, Emiliya Ångström Laboratory Lägerhyddsvägen 1 Uppsala75121 Sweden CNR Istituto per la Scienza e la Tecnologia dei Plasmi via Amendola 122/D Bari70126 Italy Space and Plasma Physics School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Teknikringen 31 StockholmSE-11428 Sweden Université de Lyon CNRS École Centrale de Lyon INSA Lyon Université Claude Bernard Lyon 1 Laboratoire de Mécanique des Fluides et d’Acoustique UMR5509 ÉcullyF-69134 France Dipartimento di Scienze Fisiche e Chimiche Università degli Studi dell’Aquila Via Vetoio 42 AQ CoppitoI-67100 Italy Via Fosso del Cavaliere 100 Rome00133 Italy Astrophysical Observatory of Torino Via Osservatorio 20 Pino TorineseI-10025 Italy

Aims. The linear scaling of the mixed third-order moment of the magnetohydrodynamic fluctuations is used to estimate the energy transfer rate of the turbulent cascade in the expanding solar wind. Methods. In 1976 the Helios 2 spacecraft measured three samples of fast solar wind originating from the same coronal hole, at different distance from the sun. Along with the adjacent slow solar wind streams, these represent a unique database for studying the radial evolution of turbulence in samples of undisturbed solar wind. A set of direct numerical simulations of the MHD equations performed with the Lattice-Boltzmann code FLAME is also used for interpretation. Results. We show that the turbulence energy transfer rate decays approximately as a power law of the distance, and that both the amplitude and decay law correspond to the observed radial temperature profile in the fast wind case. Results from magnetohydrodynamic numerical simulations of decaying magnetohydrodynamic turbulence show a similar trend for the total dissipation, suggesting an interpretation of the observed dynamics in terms of decaying turbulence, and that multi-spacecraft studies of the solar wind radial evolution may help clarifying the nature of the evolution of the turbulent fluctuations in the ecliptic solar wind. © 2023, CC BY.

关键词： Turbulence

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Automated control and optimisation of laser driven ion acceleration

arXiv

引用

arXiv 2023年

作者： Loughran, B. Streeter, M.J.V. Ahmed, H. Astbury, S. Balcazar, M. Borghesi, M. Bourgeois, N. Curry, C.B. Dann, S.J.D. DiIorio, S. Dover, N.P. Dzelzanis, T. Ettlinger, O.C. Gauthier, M. Giuffrida, L. Glenn, G.D. Glenzer, S.H. Green, J.S. Gray, R.J. Hicks, G.S. Hyland, C. Istokskaia, V. King, M. Margarone, D. McCusker, O. McKenna, P. Najmudin, Z. Parisuaña, C. Parsons, P. Spindloe, C. Symes, D.R. Thomas, A.G.R. Treffert, F. Xu, N. Palmer, C.A.J. School of Mathematics and Physics Queen's University Belfast BelfastBT7 1NN United Kingdom Central Laser Facility STFC Rutherford Appleton Laboratory DidcotOX11 0QX United Kingdom Gérard Mourou Center for Ultrafast Optical Science University of Michigan Ann ArborMI48109-2099 United States SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo ParkCA United States Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G1H9 Canada The John Adams Institute for Accelerator Science Imperial College London LondonSW7 2AZ United Kingdom ELI Beamlines Centre Institute of Physics Czech Academy of Sciences Za Radnicí 835 Dolní Břežany252 41 Czech Republic Department of Applied Physics Stanford University StanfordCA94305 United States Department of Physics SUPA University of Strathclyde GlasgowG4 0NG United Kingdom Faculty of Nuclear Sciences and Physical Engineering Czech Technical University in Prague Prague Czech Republic Department of Mechanical Engineering Stanford University StanfordCA94305 United States Institut für Kernphysik Technische Universität Darmstadt Karolinenplatz 5 Darmstadt64289 Germany

The interaction of relativistically intense lasers with opaque targets represents a highly non-linear, multi-dimensional parameter space. This limits the utility of sequential 1D scanning of experimental parameters for the optimisation of secondary radiation, although to-date this has been the accepted methodology due to low data acquisition rates. High repetition-rate (HRR) lasers augmented by machine learning present a valuable opportunity for efficient source optimisation. Here, an automated, HRR-compatible system produced high fidelity parameter scans, revealing the influence of laser intensity on target pre-heating and proton generation. A closed-loop Bayesian optimisation of maximum proton energy, through control of the laser wavefront and target position, produced proton beams with equivalent maximum energy to manually-optimized laser pulses but using only 60% of the laser energy. This demonstration of automated optimisation of laser-driven proton beams is a crucial step towards deeper physical insight and the construction of future radiation sources. © 2023, CC BY.

关键词： Proton beams

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Three-dimensional modelling of the shock-turbulence interaction

arXiv

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arXiv 2023年

作者： Trotta, Domenico Pezzi, Oreste Burgess, David Preisser, Luis Blanco-Cano, Xochitl Kajdic, Primoz Hietala, Heli Horbury, Timothy S. Vainio, Rami Dresing, Nina Retino', Alessandro Marcucci, Maria Federica Sorriso-Valvo, Luca Servidio, Sergio Valentini, Francesco The Blackett Laboratory Department of Physics Imperial College London LondonSW7 2AZ United Kingdom Consiglio Nazionale delle Ricerche Via Amendola 122/D BariI-70126 Italy Department of Physics and Astronomy Queen Mary University of London E1 4NS United Kingdom Space Research Institute Austrian Academy of Sciences Graz Austria Departamento de Ciencias Espaciales Instituto de Geofísica Universidad Nacional Autónoma de México Ciudad Universitaria Ciudad de México Mexico Department of Physics and Astronomy University of Turku TurkuFI-20014 Finland LPP Ecole Polytechnique CNRS UPMC Université Paris Sud Palaiseau France INAF-Istituto di Astrofisica e Planetologia Spaziali Rome Italy Space and Plasma Physics School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Ångström Laboratory Lägerhyddsvägen 1 Uppsala75121 Sweden Dipartimento di Fisica Università della Calabria Rende87036 Italy

The complex interaction between shocks and plasma turbulence is extremely important to address crucial features of energy conversion in a broad range of astrophysical systems. We study the interaction between a supercritical, perpendicular shock and pre-existing, fully-developed plasma turbulence, employing a novel combination of magnetohydrodynamic (MHD) and small-scale, hybrid-kinetic simulations where a shock is propagating through a turbulent medium. The variability of the shock front in the unperturbed case and for two levels of upstream fluctuations is addressed. We find that the behaviour of shock ripples, i.e., shock surface fluctuations with short (a few ion skin depths, ) wavelengths, is modified by the presence of pre-existing turbulence, which also induces strong corrugations of the shock front at larger scales. We link this complex behaviour of the shock front and the shock downstream structuring with the proton temperature anisotropies produced in the shock-turbulence system. Finally, we put our modelling effort in the context of spacecraft observations, elucidating the role of novel cross-scale, multi-spacecraft measurements in resolving shock front irregularities at different scales. These results are relevant for a broad range of astrophysical systems characterised by the presence of shock waves interacting with plasma turbulence. © 2023, CC BY.

关键词： Shock waves

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Corrigendum to “GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy” [Int. J. Approx. Reason. 143 (2022) 78–101]

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International Journal of Approximate Reasoning 2022年 151卷 271-271页

作者： Qian Guo Yuhua Qian Xinyan Liang Institute of Big Data Science and Industry Shanxi University Taiyuan 030006 Shanxi China Engineering Research Center for Machine Vision and Data Mining of Shanxi Province Taiyuan 030006 Shanxi China School of Computer and Information Technology Shanxi University Taiyuan 030006 Shanxi China Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education Shanxi University Taiyuan 030006 Shanxi China

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A Comparison for Liver Cancer Treatment Alternatives

A Comparison for Liver Cancer Treatment Alternatives

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2019 Advances in science and engineering Technology International Conferences, ASET 2019

作者： Musa, Musa Sani Ozsahin, DIlber Uzun Ozsahin, Ilker Department of Biomedical Engineering Near East University Nicosia North Cyprus Cyprus Research Center of Experimental Health Sciences Nicosia North Cyprus Cyprus Gordon Center for Medical Imaging Massachusetts General Hospital Harvard Medical School BostonMA United States Biomedical Imaging Laboratory Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau China

ISBN: (纸本)9781538682715

Liver cancer is a mass that develops in the liver tissue due to uncontrolled cell division of the liver cells. Hepatocellular carcinoma is the commonest type of liver cancer, others include cholangiocarcinoma and angiosarcoma. Although this cancer type is rare, studies have shown that it has claimed so many lives. The causes of liver cancer are directly linked to diseases such as liver cirrhosis, hepatitis B and C. The major liver cancer therapy techniques are tumor ablation, tumor embolization, radiotherapy, surgery, chemotherapy, immunotherapy and targeted therapy. The choice of a particular therapy technique depends on certain disease-related factors such as the stage of the disease, it's severity, the extent of the damage, patient health status etc. However, other factors are related to the therapy technique and they greatly influence the choice of treatment option. This study focuses on the therapy-related factors which include survival rate, side effects, treatment duration, cost of treatment and comfortability. The various primary liver cancer therapy techniques were evaluated based on the above-listed factors using Fuzzy PROMETHEE decision-making theory. The ranking result showed that Tumor Ablation is the best treatment alternative for primary liver cancer upon selected criteria and weights based on desired application. The outcome of this study will benefit both the oncologist and the patients while trying to choose from a variety of alternatives in different scenarios. © 2019 IEEE.

关键词： Diseases

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Learn to compress CSI and allocate resources in vehicular networks

arXiv

引用

arXiv 2019年

作者： Wang, Liang Ye, Hao Liang, Le Li, Geoffrey Ye Key Laboratory of Modern Teaching Technology Ministry of Education Xi'an710062 China School of Computer Science Shaanxi Normal University Xi'an710119 China School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States

Resource allocation has a direct and profound impact on the performance of vehicle-to-everything (V2X) networks. In this paper, we develop a hybrid architecture consisting of centralized decision making and distributed resource sharing (the C-Decision scheme) to maximize the long-term sum rate of all vehicles. To reduce the network signaling overhead, each vehicle uses a deep neural network to compress its observed information that is thereafter fed back to the centralized decision making unit. The centralized decision unit employs a deep Q-network to allocate resources and then sends the decision results to all vehicles. We further adopt a quantization layer for each vehicle that learns to quantize the continuous feedback. In addition, we devise a mechanism to balance the transmission of vehicle-to-vehicle (V2V) links and vehicle-to-infrastructure (V2I) links. To further facilitate distributed spectrum sharing, we also propose a distributed decision making and spectrum sharing architecture (the D-Decision scheme) for each V2V link. Through extensive simulation results, we demonstrate that the proposed C-Decision and D-Decision schemes can both achieve near-optimal performance and are robust to feedback interval variations, input noise, and feedback noise. Copyright © 2019, The Authors. All rights reserved.

关键词： Decision making

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Influences of the workpiece pose errors on gear skiving accuracy

Research Square

引用

Research Square 2021年

作者： Lin, Xiaochuan Hong, Rongjing Wang, Yawen Peng, Yun Ren, Xiaolei School of Mechanical and Power Engineering Nanjing Tech University Nanjing211816 China Jiangsu Key Laboratory of Digital Manufacturing for Industrial Equipment and Control Technology Nanjing Tech University Nanjing211816 China No.30 Puzhu Sothern Road Pukou District Jiangsu Nanjing China Department of Mechanical and Aerospace Engineering University of Texas at Arlington 701 S Nedderman Dr ArlingtonTX76019 United States College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics No.29 Yudao Road Qinhuai District Nanjing210016 China Department of Computer Science and Engineering University of Texas at Arlington 701 S Nedderman Dr ArlingtonTX76019 United States

This paper investigates the influence of the workpiece pose errors on gear skiving accuracy. First, based on the theory of homogeneous coordinate transformation, the mapping relationship between the tooth flank of the workpiece and the skiving tool is established according to the principle of gear skiving. Second, the workpiece pose errors are defined, and the relationship between each workpiece pose error and cutting depth is analyzed. According to the kinematic chain of the machine tool, a method for measuring the workpiece pose errors based on actual inverse kinematics is proposed. Third, the tooth deviations from individual workpiece pose errors, and the coupling workpiece pose errors are studied. The sensitive errors are obtained from the tooth deviation by numerical simulation. Finally, the numerical analysis is verified by gear skiving experiments, and the proposed method can be used to identify the possible workpiece pose errors. Furthermore, the PSO algorithm is introduced to guide the workpiece setting pose errors in the gear skiving process. © 2021, CC BY.

关键词： Inverse kinematics

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