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International Journal of Interactive Mobile Technologies 2017年第5期11卷 105-117页

作者： Menezes, Paulo Department of Electrical Engineering Institute of Systems and Robotics of the University of Coimbra Polo II Coimbra3030-290 Portugal

A module for learning about virtual and augmented reality is being developed under the U-Academy project. The module is composed of three parts. The first part is an introduction to the basic concepts of virtual and augmented reality with the help of illustrative examples. The second part presents some of the current uses of augmented reality and its prospective use in several areas that range from industry to medicine. The final part aims at those students interested in the insights of this technology by presenting the underlying concepts such as: camera models, computer graphics, pattern detection and pose estimation from inertial sensors or camera images.

关键词： Augmented reality

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Semi-Parametric Kernel-Based Identification of Wiener systems 57

Semi-Parametric Kernel-Based Identification of Wiener System...

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57th IEEE Conference on Decision and Control, CDC 2018

作者： Sven Risuleo, Riccardo Lindsten, Fredrik Hjalmarsson, Hakan Department of Automatic Control School of Electrical Engineering and Computer Science KTH - Royal Institute of Technology Stockholm Sweden Department of Information Technology Division of Systems and Control Uppsala University Uppsala Sweden

ISBN: (纸本)9781538613955

We present a technique for kernel-based identification of Wiener systems. We model the impulse response of the linear block with a Gaussian process. The static nonlinearity is modeled with a combination of basis functions. The coefficients of the static nonlinearity are estimated, together with the hyperparameters of the covariance function of the Gaussian process model, using an iterative algorithm based on the expectation-maximization method combined with elliptical slice sampling to sample from the posterior distribution of the impulse response given the data. The same sampling method is then used to find the posterior-mean estimate of the impulse response. We test the proposed algorithm on a benchmark of randomly-generated Wiener systems. © 2018 IEEE.

关键词： Impulse response

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Effect of Non-Uniformity of Electric Field on Breakdown Strength of Cryogenic Gaseous Insulation Media for Superconducting Power Applications

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IOP Conference Series: Materials Science and engineering 2020年第1期756卷

作者： S. Telikapalli M. Kvitkovicova P. Cheetham C. Park C.H. Kim L. Graber S. Pamidi FAMU-FSU College of Engineering Department of Electrical & Computer Engineering Tallahassee FL 32310 USA Center for Advanced Power Systems Florida State University Tallahassee FL 32310 USA Georgia Institute of Technology College of Engineering Department of Electrical & Computer Engineering Atlanta GA 30332 USA

A new experimental set up for measuring the breakdown strength of gas media in weakly non-uniform electric field at cryogenic temperatures and high pressures is described. Measure of breakdown strength of helium gas at 77 K and 293 K in a non-uniform electric field with a field efficiency factor 62.5% are presented. The results suggest that the breakdown strength in weakly non-uniform electric field relate to that of uniform electric field by the field efficiency factor, η. This relationship holds good for both 293 K and 77 K data. This observation expands our previously reported systematics of dielectric strength in uniform electric field to the weakly non-uniform electric field conditions, which is important for designing HTS power applications. The established relationship eliminates the need for costly experiments for measuring the dielectric strength at a specific operating temperature and pressure and in the required non-uniformity of the electric field.

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Continuous-time digital twin with analog memristive neural ordinary differential equation solver

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Science advances 2025年第22期11卷 eadr7571页

作者： Hegan Chen Jichang Yang Jia Chen Songqi Wang Shaocong Wang Dingchen Wang Xinyu Tian Yifei Yu Xi Chen Yinan Lin Qifan Zhu Yangu He Xiaoshan Wu Yi Li Xinyuan Zhang Ning Lin Meng Xu Xumeng Zhang Xiaojuan Qi Zhongrui Wang Han Wang Dashan Shang Qi Liu Kwang-Ting Cheng Ming Liu Department of Electrical and Electronic Engineering the University of Hong Kong Hong Kong China. School of Microelectronics Southern University of Science and Technology Shenzhen 518055 China. Center for Advanced Semiconductors and Integrated Circuits the University of Hong Kong Hong Kong China. Department of Electronic and Computer Engineering the Hong Kong University of Science and Technology Hong Kong China. School of Integrated Circuits Hubei Key Laboratory for Advanced Memories Huazhong University of Science and Technology Wuhan 430074 China. State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai 200433 China. State Key Lab of Fabrication Technologies for Integrated Circuits and Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing 100029 China. University of Chinese Academy of Sciences Beijing 100049 China.

Digital twins, which replicate real-world entities through computational models, are transforming manufacturing and automation. While recent advances in machine learning have enabled data-driven digital twin development using discrete-time data and finite-depth models on digital hardware, these approaches face significant limitations. They struggle to capture continuous-time dynamics and model complex systems, and suffer from substantial time and energy overheads due to physically separated storage and processing as well as frequent analog-digital (A/D) conversions. Here, we propose a memristive neural ordinary differential equation (ODE) solver for digital twins. Our approach is intrinsically time-continuous using infinite-depth neural networks to model complex dynamics. Fully analog memristor arrays collocate storage and computation, addressing the von Neumann bottleneck and reducing A/D conversion requirements. We experimentally validate our solver on digital twins of HP variable-resistor model and Lorenz96 dynamics, demonstrating a 166.5-fold/369.3-fold speedup and a 499.0-fold/673.9-fold improvement in energy efficiency, respectively. This work paves the way to future digital twins for Industry 4.0.

关键词： Continuous time systems

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Memristor-enhanced humanoid robot control system – Part I: Theory behind the novel memcomputing paradigm

Memristor-enhanced humanoid robot control system – Part I: ...

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作者： Ascoli, A. Baumann, D. Tetzlaff, R. Chua, L.O. Hild, M. Institute of Circuits and Systems Faculty of Electrical and Computer Engineering Technische Universität Dresden Dresden Germany Autonomous Motion Department Max Planck Institute for Intelligent Systems Tübingen‡ Germany Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA United States Fachbereich VII Forschungslabor Neurorobotik Beuth Hochschule für Technik Berlin Berlin Germany

Myon is a humanoid robot where each joint is controlled independently by a supervised bio-inspired artificial neural network inducing the correction of a number of distinct actions depending on the excitation. One of the control strategies, which the network, located within a certain joint, may implement, allows a controlled motion of the limb connected to the joint from a stable state up to a prescribed height and the maintenance of the new position afterwards. The original approach adopted for this control operation is stable and robust but results in slow and energy-inefficient limb movements. This work proposes a novel, low-power, time-efficient and adaptive memristor-centred control strategy for the aforementioned robot action. The idea is based upon the exploitation of the combined ability of memristors to store and process data in the same physical location. The part I paper sets the theoretic foundations for the memcomputing paradigm to robot motion control, while the part II manuscript shall demonstrate its benefits over the original approach in terms of energy, and speed, and the inheritance from the standard strategy of a good level of adaptability to changes in the limb load on the basis of the analysis of circuit-theoretic models adopting an ideal and a real memristor, respectively. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： Timing circuits

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Stochastic dc optimal power flow with reserve saturation

arXiv

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arXiv 2019年

作者： Kannan, Rohit Luedtke, James R. Roald, Line A. Wisconsin Institute for Discovery University of Wisconsin-Madison MadisonWI United States Department of Industrial and Systems Engineering Wisconsin Institute for Discovery University of Wisconsin-Madison MadisonWI United States Department of Electrical and Computer Engineering University of Wisconsin-Madison MadisonWI United States

We propose an optimization framework for stochastic optimal power flow with uncertain loads and renewable generator capacity. Our model follows previous work in assuming that generator outputs respond to load imbalances according to an affine control policy, but introduces a model of saturation of generator reserves by assuming that when a generator's target level hits its limit, it abandons the affine policy and produces at that limit. This is a particularly interesting feature in models where wind power plants, which have uncertain upper generation limits, are scheduled to provide reserves to balance load fluctuations. The resulting model is a nonsmooth nonconvex two-stage stochastic program, and we use a stochastic approximation method to find stationary solutions to a smooth approximation. Computational results on 6-bus and 118-bus test instances demonstrates that by considering the effects of saturation, our model can yield solutions with lower expected generation costs (at the same target line violation probability level) than those obtained from a model that enforces the affine policy to stay within generator limits with high probability. Copyright © 2019, The Authors. All rights reserved.

关键词： Stochastic programming

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Pull message passing for nonparametric belief propagation

arXiv

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arXiv 2018年

作者： Desingh, Karthik Opipari, Anthony Jenkins, Odest Chadwicke Laboratory for Perception RObotics Grounded REasoning SystemS Department of Electrical Engineering and Computer Science Robotics Institute University of Michigan Ann ArborMI48105 United States

We present a "pull" approach to approximate products of Gaussian mixtures within message updates for Nonparametric Belief Propagation (NBP) inference. Existing NBP methods often represent messages between continuous-valued latent variables as Gaussian mixture models. To avoid computational intractability in loopy graphs, NBP necessitates an approximation of the product of such mixtures. Sampling-based product approximations have shown effectiveness for NBP inference. However, such approximations used within the traditional "push" message update procedures quickly become computationally prohibitive for multi-modal distributions over high-dimensional variables. In contrast, we propose a "pull" method, as the Pull Message Passing for Nonparametric Belief propagation (PMPNBP) algorithm, and demonstrate its viability for efficient inference. We report results using an experiment from an existing NBP method, PAMPAS, for inferring the pose of an articulated structure in clutter. Results from this illustrative problem found PMPNBP has a greater ability to efficiently scale the number of components in its mixtures and, consequently, improve inference accuracy. Copyright © 2018, The Authors. All rights reserved.

关键词： Message passing

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Free-standing zirconia metasurfaces for microwave resonant polarization conversion

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Physical Review Materials 2025年第5期9卷 055203-055203页

作者： Dimitrios C. Zografopoulos Konstantinos Ntokos Georgios Nousios Guillaume de Calan Odysseas Tsilipakos Walter Fuscaldo Angelos Xomalis Laszlo Pethö José Francisco Algorri Victor Dmitriev Traianos V. Yioultsis Emmanouil E. Kriezis School of Electrical and Computer Engineering Aristotle University of Thessaloniki GR-54124 Thessaloniki Greece Consiglio Nazionale delle Ricerche Istituto per la Microelettronica e Microsistemi Via del fosso del cavaliere 100 00133 Rome Italy Nanoe Corporation 6 Rue des Frênes Ballainvilliers 91160 France Theoretical and Physical Chemistry Institute National Hellenic Research Foundation GR-11635 Athens Greece Nanoelectronics and Photonics Group Department of Electronic Systems Norwegian University of Science and Technology Trondheim 7034 Norway Laboratory for Mechanics of Materials and Nanostructures Empa Swiss Federal Laboratories for Materials Science and Technology Feuerwerkerstrasse 39 3602 Thun Switzerland Photonics Engineering Group University of Cantabria 39005 Santander Spain CIBER-bbn Instituto de Salud Carlos III 28029 Madrid Spain Instituto de Investigación Sanitaria Valdecilla 39011 Santander Spain Electrical Engineering Department Federal University of Pará CEP 66075-900 Belém Brazil

A dielectric zirconia metasurface for resonant polarization conversion at microwave frequencies is theoretically and experimentally investigated. The metasurface is composed of a periodic array of square slotted rings interrupted by solid bridge sectors that provide interconnection and mechanical stability to the free-standing metasurface structure. Moreover, they selectively break the symmetry of the unit cell, thus allowing for polarization conversion based on both weakly and strongly resonant modes, the latter stemming from bound states in the continuum. The main findings of the theoretical analysis are corroborated through the experimental characterization of a metasurface sample fabricated by a recently introduced three-dimensional (3D) printing technique based on fused filament fabrication. Going beyond the target application of resonant polarization conversion, this work proposes an approach for the realization of high-permittivity, 3D-printed zirconia metasurfaces with submillimeter features for strong wave-matter interaction at microwave frequencies.

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Coverage analysis of integrated Sub-6GHz-mmWave cellular networks with hotspots

arXiv

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arXiv 2019年

作者： Shi, Minwei Yang, Kai Han, Zhu Niyato, Dusit School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Fractional Signals and Systems Beijing China Department of Electrical and Computer Engineering University of Houston Houston United States Department of Computer Science and Engineering Kyung Hee University Seoul Korea Republic of School of Computer Science and Engineering Nanyang Technological University Singapore Singapore

Deploying Sub-6GHz networks together with millimeter wave (mmWave) is a promising solution to achieve high data rates in traffic hotspots while guaranteeing sufficient coverage, where mmWave small cells are densely deployed to provide high quality of service. In this paper, we propose an analytical framework to investigate the integrated Sub-6GHz-mmWave cellular networks, in which the Sub-6GHz base stations (BSs) are modeled as a Poisson point process, and the mmWave BSs are clustered following a Poisson cluster process in traffic hotspots. We conduct stochastic geometry-based analysis and derive the performance metrics including the association probability, signal-to-interference-plus-noise ratio coverage probability and average achievable rate, which are validated to be accurate by Monte Carlo simulations. We analyze the impact of various deployment parameters on the network performance to give insights on the network design. In particular, it is shown that deploying mmWave small cells in traffic hotspots will outperform both traditional Sub-6GHz heterogeneous network and isolated mmWave system in terms of the coverage probability. It can also be shown that extremely high and extremely small association weight for mmWave BSs will deteriorate the performance for cell edge users and cell interior users, respectively. Moreover, there exists an optimal pre-decided dispersion parameter of mmWave BSs that contributes to the maximum coverage probability. Copyright © 2019, The Authors. All rights reserved.

关键词： Heterogeneous networks

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Variability in the unregulated opioid market in the context of extreme rates of overdose

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Drug and Alcohol Dependence 2022年 235卷 109427-109427页

作者： Larnder, Ashley Saatchi, Armin Borden, Scott A. Moa, Belaid Gill, Chris G. Wallace, Bruce Hore, Dennis Department of Chemistry University of Victoria Victoria V8W 3V6 BC Canada Applied Environmental Research Laboratories (AERL) Department of Chemistry Vancouver Island University Nanaimo V9R 5S5 BC Canada University Systems University of Victoria Victoria V8W 2Y2 BC Canada Department of Electrical and Computer Engineering University of Victoria Victoria V8W 2Y2 BC Canada Department of Chemistry Simon Fraser University Burnaby V5A 1S6 BC Canada Department of Environmental and Occupational Health Sciences University of Washington Seattle 98195 WA United States Canadian Institute for Substance Use Research University of Victoria Victoria V8W 2Y2 BC Canada School of Social Work University of Victoria Victoria V8W 2Y2 BC Canada Department of Computer Science University of Victoria Victoria V8W 3P6 BC Canada

Background: Drug checking uses analytical chemistry technologies to report on the composition of drugs from the unregulated market to reduce substance use-related risks, while additionally allowing for monitoring and reporting of the supply. In the context of an overdose crisis linked to fentanyl, we used drug checking data to examine variability within the illicit opioid supply. Methods: In this time-series analysis, data was collected from a drug checking service in Victoria, Canada from November 2020 to July 2021. Drugs reported as opioids by participants of the service (N = 454) were analyzed to determine sample composition and paper spray mass spectroscopy was used to quantify low-concentration actives. Interquartile and statistical process control (SPC) analysis, namely standard deviation control charts, were used to examine the degree of variability among samples. Results: Fentanyl was found in 96% of samples reported to be opioids, with a median concentration of 9%. Concentrations varied significantly, with a standard deviation of 7% for fentanyl and where nearly 20% of data points fell outside the control limits. Over half of the samples contained an additional and unexpected active, most commonly etizolam (43% of samples). Etizolam also showed a large level of variability, uncorrelated to that of fentanyl. Conclusions: Based on our chemical quantification and SPC analysis, a high degree of variability was found in opioid samples from the unregulated market in both the drugs detected and the concentrations of those drugs. This demonstrated the opioid crisis to be less attributable to a bad batch of drugs but rather the general variability found in the unregulated market. © 2022 The Authors

关键词： Drug checking Etizolam Fentanyl Harm reduction Overdose Paper spray mass spectrometry

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