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arXiv 2019年

作者： Memarzadeh, Sarvenaz Kim, Jongbum Aytac, Yigit Murphy, Thomas E. Munday, Jeremy N. Department of Electrical and Computer Engineering Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Electrical and Computer Engineering University of California DavisCA95616 United States Science Systems and Applications Inc. LanhamMD20706 United States

Surface plasmon mediated hot carrier generation is widely utilized for the manipulation of the electron-photon interactions in many types of optoelectronic devices including solar cells, photodiodes, and optical modulators. A diversity of plasmonic systems such as nanoparticles, resonators, and waveguides have been introduced to enhance hot carrier generation;however, the impact of the propagating surface plasmons on hot carrier lifetime has not been clearly demonstrated. Here, we systematically study the hot carrier relaxation in thin film gold (Au) samples under surface plasmon coupling with the Kretschmann configuration. We observe that the locally confined electric field at the surface of the metal significantly affects the hot carrier distribution and electron temperature, which results in a slowing of the hot electrons relaxation time, regardless of the average value of the absorbed power in the Au thin film. This result could be extended to other plasmonic nanostructures, enabling the control of hot carrier lifetimes throughout the optical frequency range. Copyright © 2019, The Authors. All rights reserved.

关键词： Hot electrons

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Decoding Flash Memory with Progressive Reads and Independent vs. Joint Encoding of Bits in a Cell

Decoding Flash Memory with Progressive Reads and Independent...

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IEEE Global Communications Conference

作者： Nathan Wong Ethan Liang Haobo Wang Sudarsan V. S. Ranganathan Richard D. Wesel Physical Optics Corporation Torrance CA Department of Electrical and Computer Engineering University of California Los Angeles Los Angeles CA Institute for Data Systems and Society Massachusetts Institute of Technology Cambridge MA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

This paper develops a paradigm for optimizing progressive reads for flash memory cells that maximize the conditional mutual information (MI) given previous reads and shows that some progressive reads provide substantially more MI than others. We study two flash storage techniques: 1) the common practice of independently encoding each bit of a cell into a separate codeword and 2) jointly encoding all the bits in the cell into the same codeword. We quantify the MI gap between joint and independent encoding and show that this gap becomes negligible when progressive reads are available. The paper provides LDPC simulations that confirm the MI analysis.

关键词： Encoding Decoding Degradation Parity check codes Analytical models Optimization Computational modeling

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Same-cluster querying for overlapping clusters

arXiv

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arXiv 2019年

作者： Huleihel, Wasim Mazumdar, Arya Médard, Muriel Pal, Soumyabrata Department of Electrical Engineering-Systems Tel-Aviv university Tel-Aviv6997801 Israel Computer Science Department University of Massachusetts Amherst AmherstMA01003 United States Department of Electrical Engineering & Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Computer Science Department University of Massachusetts Amherst AmherstMA01003 United States

Overlapping clusters are common in models of many practical data-segmentation applications. Suppose we are given n elements to be clustered into k possibly overlapping clusters, and an oracle that can interactively answer queries of the form "do elements u and v belong to the same cluster?" The goal is to recover the clusters with minimum number of such queries. This problem has been of recent interest for the case of disjoint clusters. In this paper, we look at the more practical scenario of overlapping clusters, and provide upper bounds (with algorithms) on the sufficient number of queries. We provide algorithmic results under both arbitrary (worst-case) and statistical modeling assumptions. Our algorithms are parameter free, efficient, and work in the presence of random noise. We also derive information-theoretic lower bounds on the number of queries needed, proving that our algorithms are order optimal. Finally, we test our algorithms over both synthetic and real-world data, showing their practicality and effectiveness. Copyright © 2019, The Authors. All rights reserved.

关键词： Query processing

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Low frequency non-resonant rectification in spin-diodes

arXiv

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arXiv 2020年

作者： Tomasello, R. Fang, B. Artemchuk, P. Carpentieri, M. Fasano, L. Giordano, A. Prokopenko, O.V. Zeng, Z.M. Finocchio, G. Institute of Applied and Computational Mathematics FORTH Heraklion-CreteGR-70013 Greece Key Laboratory of Multifunctional Nanomaterials and Smart Systems Suzhou Institute of Nano-Tech and Nano-Bionics CAS Suzhou Jiangsu215123 China Faculty of RadioPhysics Electronics and Computer Systems Taras Shevchenko National University of Kyiv Kyiv01601 Ukraine Department of Physics Oakland University RochesterMI48309 United States Department of Electrical and Information Engineering Politecnico of Bari via Orabona 4 Bari70125 Italy Italy Department of Mathematical and Computer Sciences Physical Sciences and Earth Sciences University of Messina MessinaI-98166 Italy

Spin-diodes are usually resonant in nature (GHz frequency) and tuneable by magnetic field and bias current with performances, in terms of sensitivity and minimum detectable power, overcoming the semiconductor counterpart, i.e. Schottky diodes. Recently, spin diodes characterized by a low frequency detection (MHz frequency) have been proposed. Here, we show a strategy to design low frequency detectors based on magnetic tunnel junctions having the interfacial perpendicular anisotropy of the same order of the demagnetizing field out-of-plane component. Micromagnetic calculations show that to reach this detection regime a threshold input power has to be overcome and the phase shift between the oscillation magnetoresistive signal and the input radiofrequency current plays the key role in determining the value of the rectification voltage. Copyright © 2020, The Authors. All rights reserved.

关键词： Schottky barrier diodes

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Neural-learning trajectory tracking control of flexible-joint robot manipulators with unknown dynamics

arXiv

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arXiv 2019年

作者： Chen, Shuyang Wen, John T. Department of Mechanical Aerospace and Nuclear Engineering Rensselaer Polytechnic Institute 110 8th St TroyNY12180 United States Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute TroyNY12180 United States

Fast and precise motion control is important for industrial robots in manufacturing applications. However, some collaborative robots sacrifice precision for safety, particular for high motion speed. The performance degradation is caused by the inability of the joint servo controller to address the uncertain nonlinear dynamics of the robot arm, e.g., due to joint flexibility. We consider two approaches to improve the trajectory tracking performance through feedforward compensation. The first approach uses iterative learning control, with the gradient-based iterative update generated from the robot forward dynamics model. The second approach uses dynamic inversion to directly compensate for the robot forward dynamics. If the forward dynamics is strictly proper or is non-minimum-phase (e.g., due to time delays), its stable inverse would be non-causal. Both approaches require robot dynamical models. This paper presents results of using recurrent neural networks (RNNs) to approximate these dynamical models – forward dynamics in the first case, inverse dynamics (possibly non-causal) in the second case. We use the bi-directional RNN to capture the noncausality. The RNNs are trained based on a collection of commanded trajectories and the actual robot responses. We use a Baxter robot to evaluate the two approaches. The Baxter robot exhibits significant joint flexibility due to the series-elastic joint actuators. Both approaches achieve sizable improvement over the uncompensated robot motion, for both random joint trajectories and Cartesian motion. The inverse dynamics method is particularly attractive as it may be used to more accurately track a user input as in teleoperation. Copyright © 2019, The Authors. All rights reserved.

关键词： Flexible manipulators

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Ultrahigh bandwidth applications of microcombs: Neural networks and optical data transmission

TechRxiv

引用

TechRxiv 2021年

作者： Moss, David J. Tan, M. Xu, X. Corcoran, B. Wu, J. Boes, A. Nguyen, T. Chu, S. Little, B. Morandotti, R. Mitchell, A. Optical Sciences Centre Swinburne University of Technology HawthornVIC3122 Australia Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia School of Engineering RMIT University MelbourneVIC3001 Australia Department of Physics City University of Hong Kong Tat Chee Avenue Hong Kong Xi’an Institute of Optics and Precision Mechanics Precision Mechanics of CAS Xi’an China INRS-Énergie Matériaux et Télécommunications 1650 Boulevard Lionel-Boulet VarennesQCJ3X 1S2 Canada Inst. of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu610054 China

We report ultrahigh bandwidth applications of Kerr microcombs to optical neural networks and to optical data transmission, at data rates from 44 Terabits/s (Tb/s) to approaching 100 Tb/s. Convolutional neural networks (CNNs) are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to greatly reduce the network complexity and enhance the accuracy for machine learning tasks such as computer vision, speech recognition, playing board games and medical diagnosis [1-7]. Optical neural networks can dramatically accelerate the computing speed to overcome the inherent bandwidth bottleneck of electronics. We use a new and powerful class of micro-comb called soliton crystals that exhibit robust operation and stable generation as well as a high intrinsic efficiency with an extremely low spacing of 48.9 GHz. We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS/s (TOPS) on 250,000 pixel images for 10 kernels simultaneously — enough for facial image recognition. We use the same hardware to sequentially form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 900 pixel handwritten digit images. We also report world record high data transmission over standard optical fiber from a single optical source, at 44.2 Terabits/s over the C-band, with a spectral efficiency of 10.4 bits/s/Hz, with a coherent data modulation format of 64 QAM. We achieve error free transmission across 75 km of standard optical fiber in the lab and over a field trial with a metropolitan optical fiber network. Our work demonstrates the ability of optical soliton crystal micro-combs to exceed other approaches in performance for the most demanding practical optical communications applications. © 2021, CC0.

关键词： Diagnosis

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Preface

Communications in Computer and Information Science

引用

Communications in computer and Information Science 2025年 2194 CCIS卷 v-vi页

作者： Singh, Mayank Tyagi, Vipin Gupta, P.K. Flusser, Jan Ören, Tuncer Cherif, Amar Ramdane Tomar, Ravi G.L. Bajaj Institute of Technology and Management Uttar Pradesh Greater Noida India Academics and Research Department Jaypee University of Engineering and Technology Madhya Pradesh Raghogarh India School of Computing Department of Data Science and Engineering Mohan Babu University Andhra Pradesh Tirupati India Institute of Information Theory and Automation Prague Czech Republic School of Electrical Engineering and Computer Science OttawaON Canada University of Paris-Saclay Paris France Persistent Systems Uttarakhand Dehradun India

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An Efficient Scheme for Path Planning in Internet of Drones

An Efficient Scheme for Path Planning in Internet of Drones

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IEEE Global Communications Conference

作者： Aditya Goyal Nikhil Kumar Amit Dua Neeraj Kumar Joel J. P. C. Rodrigues Dushantha Nalin K. Jayakody Computer Science and Information Systems Department Birla Institute of Technology and Science Pilani Computer science and Engineering Department Thapar Institute of Engineering and Technology Punjab National Institute of Telecommunications (INATEL) Brazil Instituto de Telecomunicações Portugal Federal University of Piauí (UFPI) Brazil Faculty of Engineering Sri Lanka Technological Campus Sri Lanka School of Computer Science & Robotics National Research Tomsk Polytechnic University Russia

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

The Internet of Drones (IoD) is a multi-layered, control architecture to regulate and coordinate the navigation of Unmanned Aerial Vehicles (UAV) in a shared public airspace. UAVs have the potential to be employed in public space for purposes like surveillance, monitoring, package delivery, emergency services, etc. For proper operation, an efficient path planning among IoD is required so that they can adaptively decide their path for data dissemination. Most of the existing solutions for this problem have made unreasonable assumptions and do not offer scalability. The scheme proposed in the paper provides a network architecture for the scalable solution of UAVs in an urban environment addressing issues of path planning, safety, privacy, and network connectivity. The scheme has been tested using exhaustive simulation and results prove that the proposed scheme is efficient in terms of reducing the overall cost and delivery time with the increasing weight of payload in the drones.

关键词： Drones Path planning Internet Navigation Atmospheric modeling Scalability Companies

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High Charge Transport in Tio2-Rgo Heterostructure Field-Effect Biosensors: Ultra-Low Detection Limits for Sars-Cov-2

SSRN

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SSRN 2025年

作者： Zaidan, Liena Tadele, Debela T. Azer, Bersu Bastug Ozyigit, Dogu Abdelrahman, Rana Xu, Alex Takaloo, Saeed Pennings, Joel Almoabadi, Afaf Azadinia, Mohsen Karimi, Reza Sanderson, Joe Pope, Michael Mekonnen, Tizazu H. Bajcsy, Michal Yavuz, Mustafa Department of Electrical and Computer Engineering University of Waterloo 200 University Avenue West WaterlooONN2L 3G1 Canada Department of Chemical Engineering Institute of Polymer Research University of Waterloo WaterlooONN2L 3G1 Canada Waterloo Institute for Nanotechnology University of Waterloo 200 University Avenue West WaterlooONN2L 3G1 Canada Mechanical and Mechatronics Engineering University of Waterloo 200 University Avenue West WaterlooONN2L 3G1 Canada Systems Design Engineering University of Waterloo 200 University Ave W WaterlooONN2L 3G1 Canada Department of Physics and Astronomy University of Waterloo 200 University Ave W WaterlooONN2L 3G1 Canada Department of Chemical Engineering University of Waterloo WaterlooONN2L 3G1 Canada Institute for Quantum Computing University of Waterloo 200 University Ave W WaterlooONN2L 3G1 Canada University of Waterloo Canada

The recent COVID-19 pandemic has shown that emerging infectious diseases impose a heavy burden on public health and economic development, highlighting the critical need for early and accurate diagnostic tools. During this time, graphene-based materials field effect transistor (FET) biosensors functionalized with bioreceptors emerged as a novel biosensing technology with minute-scale detection time. For sensors relying on doped reduced graphene oxide (rGO) as channel material, the reported sensitivity often approaches the ultimate standard of polymerase chain reaction (PCR), at least under laboratory conditions. Here, we present a FET-biosensor with a channel formed by TiO2-rGO heterostructure produced with Femtosecond Laser (FL) irradiation. Compared to the rGO-FET biosensor, TiO2-rGO FET biosensor has significantly increased charge transportation rate, the biosensor limit of detection (LOD) was improved 20-fold to 0.5 ag/mL (10 zM) when detecting SARS-CoV-2 nucleocapsid proteins, and the TiO2-rGO heterostructure supports visible-light-induced photocatalysis that enables sensor regeneration and reuse. Structural and chemical analyses confirm heterojunction formation with a narrowed bandgap and optimized properties tailored for biosensing. © 2025, The Authors. All rights reserved.

关键词： Enzyme sensors

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Comparison of different cooling fan designs for electric motors

Comparison of different cooling fan designs for electric mot...

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2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017

作者： Roffi, Michele Ferreira, Fernando J. T. E. De Almeida, Anibal T. Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Portugal

ISBN: (纸本)9781509042814

Worldwide electric motor market is moving towards Premium/IE3, Super-Premium/IE4 and Ultra-Premium/IE5 efficiency classes. Therefore, motor manufacturers are constantly improving the overall design of three-phase asynchronous and synchronous motors and all the details with impact in the losses count, even if, individually, they just lead to efficiency gains of a fraction of a percentage point. In industry, most of the self-ventilated motors are driving unidirectional applications, such as fans, pumps, and compressors, and, therefore, the replacement of the typical bidirectional centrifugal fans of the external cooling system with a unidirectional axial fan may lead to a decrease in the acoustic noise and to a gain in the overall motor efficiency. In this paper, numerical simulations and experimental tests of different designs of axial fans and the respective comparison with the traditional centrifugal fans are presented. The tested axial fan prototypes were printed in plastic using a 3D printer. One of the novel axial fan designs led to a slight gain in the motor efficiency, maintaining the same operating temperature. That axial fan can be further optimized in order to require less power, have a better dynamic airflow, and produce less acoustic noise. © 2017 IEEE.

关键词： Energy efficiency

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