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arXiv 2022年

作者： Burrello, Alessio Pagliari, Daniele Jahier Maria Rapa, Pierangelo Semilia, Matilde Risso, Matteo Polonelli, Tommaso Poncino, Massimo Benini, Luca Benatti, Simone Department of Electrical Electronic and Information Engineering University of Bologna Emilia-Romagna Bologna40136 Italy Department of Control and Computer Engineering Politecnico di Torino Torino10129 Italy PBL Center Zurich8092 Switzerland Department of Information Technology and Electrical Engineering The ETH Zurich Zurich8092 Switzerland Department of Sciences and Methods for Engineering University of Modena e Reggio Emilia Emilia-Romagna Modena42123 Italy

Photoplethysmography (PPG) sensors allow for non-invasive and comfortable heart-rate (HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, Motion Artifacts (MAs) severely impact the monitoring accuracy, causing high variability in the skin-to-sensor interface. Several data fusion techniques have been introduced to cope with this problem, based on combining PPG signals with inertial sensor data. Until know, both commercial and reasearch solutions are computationally efficient but not very robust, or strongly dependent on hand-tuned parameters, which leads to poor generalization performance. In this work, we tackle these limitations by proposing a computationally lightweight yet robust deep learning-based approach for PPG-based HR estimation. Specifically, we derive a diverse set of Temporal Convolutional Networks (TCN) for HR estimation, leveraging Neural Architecture Search (NAS). Moreover, we also introduce ActPPG, an adaptive algorithm that selects among multiple HR estimators depending on the amount of MAs, to improve energy efficiency. We validate our approaches on two benchmark datasets, achieving as low as 3.84 Beats per Minute (BPM) of Mean Absolute Error (MAE) on PPGDalia, which outperforms the previous state-of-the-art. Moreover, we deploy our models on a low-power commercial microcontroller (STM32L4), obtaining a rich set of Pareto optimal solutions in the complexity vs. accuracy space. © 2022, CC BY.

关键词： Deep learning

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Three-Phase D-STATCOM with Digital Current control Strategy in abc-Reference Frame 3

Three-Phase D-STATCOM with Digital Current Control Strategy ...

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3rd International Conference on Computing, Mathematics and engineering Technologies, iCoMET 2020

作者： Busarello, Tiago Davi Curi Zeb, Kamran Sarwar, Muhammad Asim Kim, Hee Je Federal University of Santa Catarina - UFSC Depart. Control Automation and Computation Engineering Blumenau Brazil National University of Sciences and Technology School of Electrical Engineering School of Electrical Engineering and Computer Science Pusan National University Busan Korea Republic of Sukkur IBA University Department of Electrical Engineering Pakistan Pusan National University School of Electrical Engineering Busan Korea Republic of

ISBN: (纸本)9781728149707

This paper proposes a Three-phase D-STATCOM with digital current control strategy in abc- reference frame. The proposal D-STATCOM does not use a PLL and the reactive power is transferred to the grid through controlling the D-STATCOM output current. The current controller has one zero and two poles. This type of controller is also known as Type-2 controller. The procedure to tune the controller is explained. The Conservative Power Theory (CPT) is used to compute the reactive power of the loads. A case study shows the behavior of the D-STACOM during initialization, during load transitions and during steady-state conditions. The results show the efficacy of the proposed D-STATCOM. © 2020 IEEE.

关键词： Static synchronous compensators

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Nanoplasmonic magneto-optical isolator [Invited]

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Chinese Optics Letters 2021年第8期19卷 130-137页

作者： Vahid Foroughi Nezhad Chenglong You Georgios Veronis School of Electrical Engineering and Computer Science Louisiana State UniversityBaton RougeLouisiana 70803USA Center for Computation and Technology Louisiana State UniversityBaton RougeLouisiana 70803USA Department of Physics and Astronomy Louisiana State UniversityBaton RougeLouisiana 70803USA

We introduce a nanoplasmonic isolator that consists of a cylindrical resonator placed close to a metal-dielectric-metal(MDM) waveguide. The material filling the waveguide and resonator is a magneto-optical(MO) material, and the structure is under an externally applied static magnetic field. We theoretically investigate the properties of the structure and show that the cavity mode without MO activity splits into two modes when the MO activity is present. In addition, we find that the presence of the MDM waveguide leads to a second resonance due to the geometrical asymmetry caused by the existence of the waveguide. We also show that, when MO activity is present, the cavity becomes a traveling wave resonator. Thus, the transmission of the structure depends on the direction of the incident light, and the proposed structure operates as an optical isolator.

关键词： plasmonics metal optics magneto-optic systems

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Decoherence limiting the cost to simulate an anharmonic oscillator

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Physical Review A 2023年第6期108卷 062219-062219页

作者： Tzula B. Propp Sayonee Ray John B. DeBrota Tameem Albash Ivan H. Deutsch Center for Quantum Information & Control University of New Mexico Albuquerque New Mexico 87131 USA Department of Physics and Astronomy University of Waterloo Ontario N2L 3G1 Canada Department of Electrical and Computer Engineering University of New Mexico Albuquerque New Mexico 87131 USA Department of Physics and Astronomy University of New Mexico Albuquerque New Mexico 87131 USA

We study how decoherence increases the efficiency with which we can simulate the quantum dynamics of an anharmonic oscillator governed by the Kerr effect. As decoherence washes out the fine-grained sub-Planck structure associated with phase-space quantum interference in the closed quantum system, open quantum dynamics can be more efficiently simulated using a coarse-grained finite-difference numerical integration. We tie this to the way in which decoherence recovers the semiclassical truncated Wigner approximation, which strongly differs from the exact closed-system dynamics at times when quantum interference leads to cat states and more general superpositions of coherent states. The regression in quadrature measurement statistics to semiclassical dynamics becomes more pronounced as the initial amplitude of the oscillator grows, with implications for the quantum advantage that might be accessible as system size grows in noisy quantum devices. Lastly, we show that this regression does not have the form of a convex noise model, such as for a depolarizing noise channel. Instead, closed quantum system effects interact with the open-system effects, giving rise to distinct open-system behavior.

关键词： Cavity quantum electrodynamics Open quantum systems & decoherence computational complexity Phase space dynamics Semiclassical methods

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IF: Iterative Fractional Optimization 29

IF: Iterative Fractional Optimization

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29th European Symposium on Artificial Neural Networks, computational Intelligence and Machine Learning, ESANN 2021

作者： Chatterjee, Sarthak Das, Subhro Pequito, Sérgio Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute TroyNY United States MIT-IBM Watson AI Lab IBM Research CambridgeMA United States Delft Center for Systems and Control Delft University of Technology Netherlands

ISBN: (纸本)9782875870827

Most optimization problems lack closed-form solutions of the argument that minimizes a given function, and even if these were available it might be prohibitive to compute it. As such, we rely on iterative numerical algorithms to find an approximate solution. In this paper, we propose to leverage fractional calculus in the context of time series analysis methods to devise a new iterative algorithm. Specifically, we propose to leverage autoregressive fractional-order integrative moving average time series, whose coefficients encode a proxy for local spatial information. We provide evidence that our algorithm is efficient and particularly suitable for cases where the Hessian is ill-conditioned. © 2021 ESANN Intelligence and Machine Learning. All rights reserved.

关键词： Time series analysis

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Detailed Investigation of Bio-Foam Characteristics of Piggery Wastewater Reveals Novel Foaming Mechanisms

SSRN

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SSRN 2023年

作者： Cheng, Peijin Zhang, Jianming Zhang, Kaiji Liu, Yang Xu, Xiangyang Zhu, Liang Institute of Environment Pollution Control and Treatment Department of Environmental Engineering Zhejiang University Hangzhou310058 China Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety Hangzhou310058 China Zhejiang Provincial Engineering Laboratory of Water Pollution Control Hangzhou310058 China Hangzhou Xiaokai Technology Co. Ltd. Hangzhou310000 China Innovation Center of Yangtze River Delta Zhejiang University Jiashan314100 China Department of Electrical and Computer Engineering Samueli School of Engineering University of California Los AngelesCA United States Department of Environmental Engineering Zhejiang University No. 866 Yuhangtang Road Hangzhou310058 China

Biological foam has seriously troubled the wastewater treatment process and brings major challenges to effluent quality, process efficiency, and operation safety. This study systematically analyzed bio-foam characteristics from three piggery wastewater treatment stations to reveal potential foaming mechanisms. The low surface tension for piggery wastewater led to strong foaming capacity, and high viscosity and Zeta potential contributed to foam stability. The long-chain fatty acids (LCFAs) in wastewater were proved to be the key components responsible for foaming: the decrease of surface tension caused by LCFAs directly induced strong foaming ability (physicochemical path);moreover, LCFAs favored the enrichment of non-filamentous foam-related microbes like Hydrogenophaga and Pseudomonas to secrete extracellular polymeric substances, increasing the viscosity and Zeta potential to maintain foam stability (biological paths). Based on the revealed foaming mechanism dominated by LCFAS, this study provided novel insight and valuable guidance for the efficient and safe treatment of piggery wastewater. © 2023, The Authors. All rights reserved.

关键词： Surface tension

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Effective Two-Stage Double Auction for Dynamic Resource Trading in Edge Networks via Overbooking

arXiv

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arXiv 2025年

作者： Wu, Sicheng Liwang, Minghui Wang, Deqing Wang, Xianbin Wu, Chao Tang, Junyi Li, Li Jiao, Zhenzhen The School of Informatics Xiamen University Fujian China The Department of Control Science and Engineering The National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji University Shanghai China Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Tongji University Shanghai China The Department of Electrical and Computer Engineering Western University ON Canada The School of Public Affairs Zhejiang University Hangzhou310027 China School of Information Science and Engineering Lanzhou University Lanzhou China The iF-Labs Beijing Teleinfo Technology Co. Ltd. CAICT China

To facilitate responsive and cost-effective computing resource scheduling and service delivery over edge-assisted mobile networks, this paper investigates a novel two-stage double auction methodology via utilizing an interesting idea of resource overbooking to overcome dynamic and uncertain nature from edge servers (sellers) and demand from mobile devices (as buyers). The proposed auction integrates multiple essential factors such as social welfare maximization and decision-making latency (e.g., the time for determining winning seller-buyer pairs) reduction, by introducing a stagewise strategy: an overbooking-driven pre-double auction (OPDAuction) for determining long-term cooperations between sellers and buyers before practical resource transactions as Stage I, and a real-time backup double auction (RBDAuction) for handling residual resource demands during actual transactions. In particular, by applying a proper overbooking rate, OPDAuction helps with facilitating trading contracts between appropriate sellers and buyers as guidance for future transactions, by allowing the booked resources to exceed supply. Then, since pre-auctions may cause risks, our RBDAuction adjusts to real-time market changes, further enhancing the overall social welfare. More importantly, we offer an interesting view to show that our proposed two-stage auction can support significant design properties such as truthfulness, individual rationality, and budget balance. Through extensive experiments, we demonstrate good performance in social welfare, time efficiency, and computational scalability, outstripping conventional methods in dynamic edge computing settings. Copyright © 2025, The Authors. All rights reserved.

关键词： Budget control

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Ring Formation Maneuvering with Double Integrator Dynamics

Ring Formation Maneuvering with Double Integrator Dynamics

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2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021

作者： Tran, Dzung Casbeer, David Garcia, Eloy Weintraub, Isaac E. Milutinovic, Dejan Control Science Center of Excellence at the Air Force Research Laboratory Wright-Patterson Air Force Base Ohio45433 United States University of California Santa Cruz Department of Electrical and Computer Engineering Santa CruzCA95064 United States

ISBN: (纸本)9780738131153

Conventional leader-follower formations restrict the follower to a single desired position relative to the leader. To give the follower more flexibility in motion and to replicate typical human pilot operations, in this paper we propose a control architecture allowing the follower to converge to a ring, which is a set of desired points, relative to the leader. The follower is considered subject to a point-mass aircraft model, which can be transformed into the double integrator kinematics. For that reason, the nonlinear backstepping method is first utilized to design the controller for the double integrator kinematics with input saturation constraints being taken into account. The controller is then converted into control variables for the point-mass model. The stability of the proposed architecture is analyzed. Finally, a numerical example is presented to illustrate the efficacy of the proposed controller. © 2021 IEEE.

关键词： controllers

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Photonic torons, topological phase transition and tunable spin monopoles

arXiv

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arXiv 2024年

作者： Wu, Haijun Mata-Cervera, Nilo Wang, Haiwen Zhu, Zhihan Qiu, Cheng-Wei Shen, Yijie Wang Da-Heng Center Heilongjiang Key Laboratory of Quantum Control Harbin University of Science and Technology Harbin150080 China Centre for Disruptive Photonic Technologies School of Physical and Mathematical Sciences Nanyang Technological University Singapore637371 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Department of Applied Physics Stanford University StanfordCA94305 United States School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore

Creation and control of topological complex excitations play crucial roles in both fundamental physics and modern information science. Torons are a sophisticated class of 3D chiral polar topological structures with both skyrmionic quasiparticle textures and monopole point defects, so far only observed in liquid crystal nonpolar models. Here, we experimentally construct torons with the photonic spin of vector structured light and demonstrate the topological phase transitions among diverse topological states: torons, hopfions, skyrmioniums and monopole pairs. We can also continually tune the toron’s chirality and the helical spin textures of emerging monopole pairs. The birth of photonic torons and tunable monopoles opens a flexible platform for studying nontrivial light-matter interaction and topological informatics. © 2024, CC0.

关键词： Topology

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Deep Learning-Based Object Pose Estimation: A Comprehensive Survey

arXiv

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arXiv 2024年

作者： Liu, Jian Sun, Wei Yang, Hui Zeng, Zhiwen Liu, Chongpei Zheng, Jin Liu, Xingyu Rahmani, Hossein Sebe, Nicu Mian, Ajmal The National Engineering Research Center for Robot Visual Perception and Control Technology College of Electrical and Information Engineering the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China The School of Architecture and Art Central South University Changsha410082 China The Department of Automation Tsinghua University Beijing100084 China The School of Computing and Communications Lancaster University LA1 4YW United Kingdom The Department of Information Engineering and Computer Science University of Trento Trento38123 Italy The Department of Computer Science The University of Western Australia WA6009 Australia

Object pose estimation is a fundamental computer vision problem with broad applications in augmented reality and robotics. Over the past decade, deep learning models, due to their superior accuracy and robustness, have increasingly supplanted conventional algorithms reliant on engineered point pair features. Nevertheless, several challenges persist in contemporary methods, including their dependency on labeled training data, model compactness, robustness under challenging conditions, and their ability to generalize to novel unseen objects. A recent survey discussing the progress made on different aspects of this area, outstanding challenges, and promising future directions, is missing. To fill this gap, we discuss the recent advances in deep learning-based object pose estimation, covering all three formulations of the problem, i.e., instance-level, category-level, and unseen object pose estimation. Our survey also covers multiple input data modalities, degrees-of-freedom of output poses, object properties, and downstream tasks, providing the readers with a holistic understanding of this field. Additionally, it discusses training paradigms of different domains, inference modes, application areas, evaluation metrics, and benchmark datasets, as well as reports the performance of current state-of-the-art methods on these benchmarks, thereby facilitating the readers in selecting the most suitable method for their application. Finally, the survey identifies key challenges, reviews the prevailing trends along with their pros and cons, and identifies promising directions for future research. We also keep tracing the latest works at Awesome-Object-Pose-Estimation. Copyright © 2024, The Authors. All rights reserved.

关键词： Benchmarking

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