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arXiv 2020年

作者： Wu, Bo Lauffer, Niklas Bharadwaj, Suda Ahmadi, Mohamadreza Xu, Zhe Topcu, Ufuk The Department of Aerospace Engineering and Engineering Mechanics The Oden Institute for Computational Engineering and Sciences University of Texas Austin AustinTX78712 United States The Department of Electrical Engineering and Computer Sciences The University of California Berkeley BerkeleyCA94720 United States The Center for Autonomous Systems and Technologies The California Institute of Technology 1200 E. Calif. Blvd. MC 104-44 PasadenaCA91125 United States School for Engineering of Matter Transport and Energy Arizona State University TempeAZ85287 United States

In this work, we study a problem of actively classifying the attributes of dynamical systems characterized as a finite set of Markov decision process (MDP) models. We are interested in finding strategies that actively interact with the dynamical system and observe its reactions so that the attribute of interest is classified efficiently with high confidence. We present a decision-theoretic framework based on partially observable Markov decision processes (POMDPs). The proposed framework relies on assigning a classification belief (a probability distribution) to the attributes of interest. Given an initial belief, confidence level over which a classification decision can be made, a cost bound, safe belief sets, and a finite time horizon, we compute POMDP strategies leading to classification decisions. We present three different algorithms to compute such strategies. The first algorithm computes the optimal strategy exactly by value iteration. To overcome the computational complexity of computing the exact solutions, we propose a second algorithm based on adaptive sampling and third based on Monte Carlo tree search to approximate the optimal probability of reaching a classification decision. We illustrate the proposed methodology using examples from medical diagnosis, security surveillance, and wildlife classification. Copyright © 2020, The Authors. All rights reserved.

关键词： Markov processes

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Asymmetric Heat Transfer with Linear Conductive Metamaterials

arXiv

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arXiv 2022年

作者： Su, Yishu Li, Ying Qi, Minghong Guenneau, Sebastien Li, Huagen Xiong, Jian Center for Composite Materials and Structures Harbin Institute of Technology Harbin150001 China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou310027 China International Joint Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang The Electromagnetics Academy of Zhejiang University Zhejiang University Haining314400 China UMI 2004 Abraham de Moivre-CNRS Imperial College London LondonSW7 2AZ United Kingdom Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore

Asymmetric heat transfer systems, often referred to as thermal diodes or thermal rectifiers, have garnered increasing interest due to their wide range of application possibilities. Most of those previous macroscopic thermal diodes either resort to nonlinear thermal conductivities with strong temperature dependence that may be quite limited by or fixed in natural materials or rely on active modulation that necessitated auxiliary energy payloads. Here, we establish a straightforward strategy of passively realizing asymmetric heat transfer with linear conductive materials. The strategy also introduces a new interrogative perspective on the design of asymmetric heat transfer utilizing nonlinear thermal conductivity, correcting the misconception that thermal rectification is impossible with separable nonlinear thermal conductivity. The nonlinear perturbation mode can be versatilely engineered to produce an effective and wide-ranging perturbation in the heat conduction, which imitates and bypasses intrinsic thermal nonlinearity constraints set by naturally occurring counterparts. Independent experimental characterizations of surface thermal radiation and thermal convection verified that the heat exchange between a graded linear thermal metamaterial and the ambient can be tailored to achieve macroscopic asymmetric heat transfer. Our work is envisaged to inspire conceptual models for heat transfer control, serving as a robust and convenient platform for advanced thermal management, thermal computation, and heat transport. © 2022, CC BY.

关键词： Thermal conductivity

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High dynamic range CMOS-MEMS capacitive accelerometer array 31

High dynamic range CMOS-MEMS capacitive accelerometer array

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31st IEEE International Conference on Micro Electro Mechanical systems, MEMS 2018

作者： Guney, Metin G. Li, Xiaoliang Chung, Vincent Pey J. Paramesh, Jeyanandh Mukherjee, Tamal Fedder, Gary K. Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA United States Robotics Institute Carnegie Mellon University PittsburghPA United States

ISBN: (纸本)9781538647820

This paper reports on the design and characterization of a high-g CMOS-MEMS capacitive accelerometer array with 92 mG bias stability and ± 50 kG designed input range with a validated 91 dB dynamic range. The on-chip integration of the read-out circuitry and the MEMS transducer minimizes sense-node parasitic capacitance, hence improving sensitivity and dynamic range. The small size and mass of individual accelerometer cells ensure high-g survivability. Averaging the signals from the accelerometer cells across the array improves the signal to noise ratio, hence improving the dynamic range. © 2018 IEEE.

关键词： Accelerometers

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Observer-based event-triggered boundary control of a class of reaction-diffusion PDEs

arXiv

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arXiv 2020年

作者： Rathnayake, Bhathiya Diagne, Mamadou Espitia, Nicolás Karafyllis, Iasson the Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute New York12180 United States the Department of Mechanical Aerospace and Nuclear Engineering Rensselaer Polytechnic Institute New York12180 United States CRIStAL UMR 9189 CNRS Centre de Recherche en Informatique Signal et Automatique de Lille - CNRS Centrale Lille Univ. Lille LilleF-59000 France the Department of Mathematics National Technical University of Athens Greece

—This paper presents an observer-based event-triggered boundary control strategy for a class of reaction-diffusion PDEs with Robin actuation. The observer only requires boundary measurements. The control approach consists of a backstepping output feedback boundary controller, derived using estimated states, and a dynamic triggering condition, which determines the time instants at which the control input needs to be updated. It is shown that under the proposed observer-based event-triggered boundary control approach, there is a minimal dwell-time between two triggering instants independent of initial conditions. Furthermore, the well-posedness and the global exponential convergence of the closed-loop system to the equilibrium point are established. A simulation example is provided to validate the theoretical developments. Copyright © 2020, The Authors. All rights reserved.

关键词： Diffusion in liquids

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High Conductance Margin for Efficient Neuromorphic Computing Enabled by Stacking Nonvolatile van der Waals Transistors

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Physical Review Applied 2021年第4期16卷 044049-044049页

作者： Liping Xu (徐丽萍) Hao Xiong (熊浩) Zhichao Fu (付志超) Menghan Deng (邓梦晗) Shuiyuan Wang (王水源) Jinzhong Zhang (张金中) Liyan Shang (商丽燕) Kai Jiang (姜凯) Yawei Li (李亚巍) Liangqing Zhu (朱亮清) Liang He Zhigao Hu (胡志高) Junhao Chu (褚君浩) Technical Center for Multifunctional Magneto-Optical Spectroscopy (Shanghai) Engineering Research Center of Nanophotonics & Advanced Instrument (Ministry of Education) Department of Materials School of Physics and Electronic Science East China Normal University Shanghai 200241 China Center for Advanced Electronic Materials and Devices School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China School of Computer Science and Technology East China Normal University Shanghai 200062 China ASIC & System State Key Laboratory School of Microelectronics Fudan University Shanghai 200433 China Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan Shanxi 030006 China Shanghai Institute of Intelligent Electronics & Systems Fudan University Shanghai 200433 China

High-performance artificial synaptic devices are key building blocks for developing efficient neuromorphic computing systems. However, the nonlinear and asymmetric weight update of existing devices has restricted their practical applications. Herein, floating gate nonvolatile memory (FG NVM) devices based on two-dimensional (2D) HfS2/h-BN/FG-graphene heterostructures have been designed and investigated as multifunctional NVM and artificial optoelectronic synapses. Benefiting from the FG architecture, the HfS2-based NVM device exhibits competitive performances, such as a high on:off ratio (>105), large memory window (approximately 100 V), excellent charge retention ability (>104s), and robust durability (>103 cycles). Notably, the artificial optoelectronic synapses based on HfS2 FG NVM show an impressive large conductance margin and good linearity, owing to the ultrahigh photoresponsivity and photogain of HfS2. The energy consumption of per spike in our artificial synapse is as low as 0.2 pJ. Therefore, a high recognition accuracy up to 91.5% of the artificial neural network on the basis of our HfS2-based optoelectronic synapse at the system level has been achieved, which is superior to other reported 2D artificial optoelectronic synapses. This work paves the way forward for all 2D material-based memory for developing efficient optogenetics-inspired neuromorphic computing in brain-inspired intelligent systems.

关键词： electrical conductivity Optoelectronics Synapses 2-dimensional systems Artificial neural networks Transistors Transition metal dichalcogenides Lithography

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Influence of Load Models on Equilibria, Stability and Algebraic Manifolds of Power System Differential-Algebraic System

Influence of Load Models on Equilibria, Stability and Algebr...

引用

Annual Allerton Conference on Communication, Control, and Computing

作者： Dan wu Bin Wang Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA Department of Electrical and Computer Engineering Texas AM University College Station TX

Load models have a great impact on voltage behaviors as well as power system transient dynamics. Extensive work has been done on this topic, proposing appropriate load models and capturing better load behaviors during transient. This paper presents a comprehensive study to investigate the geometric and topological changes induced by different load models for the traditional power system differential-algebraic equations. Specifically, we attempt to reveal the deformation of equilibria, stability regions, and algebraic manifolds during a continuous evolution of load model. Several findings are presented in the paper, some of which countering traditional recognitions and intuitions. A major discovery is that the load model with a large proportion of constant impedance and a small proportion of constant power exhibits much more complex features than the load model with the reversed proportions of impedance and power. The increase of complexity is thoroughly recorded and investigated by the changes of geometric properties and mutations of topological invariants in the sense of equilibria, stability regions, and algebraic manifolds for the DAE system. However, most of the changes seem to occur on unstable components of algebraic manifolds or near the singular boundary surfaces, suggesting a limited variation of dynamical behaviors on the stable component.

关键词： Load modeling Mathematical model Power system stability Stability analysis Generators Manifolds Transient analysis

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Front Cover: Micrometer-Sized Liposome-Based systems: A Hierarchical Breakdown (ChemsystemsChem 3/2025)

ChemSystemsChem

引用

ChemsystemsChem 2025年第3期7卷

作者： Prof. Dr. Shogo Hamada Dr. Hironori Sugiyama Prof. Dr. Yiting Zhang Prof. Dr. Shoji Iwabuchi Soichiro Hiroi Toshiki Maruyama Yuktesh Balaji Sota Kumagai Prof. Dr. Satoshi Murata Prof. Dr. Taro Toyota Department of Computer Science School of Computing & Department of Systems and Control Engineering School of Engineering Institute of Science Tokyo 4259 Nagatsuta-cho Midori-ku Yokohama-city Kanagawa 226-8501 Japan These authors contributed equally. Department of Applied Chemistry Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Department of Chemistry College of Science Rikkyo University 3-34-1 Nishi-Ikebukuro Toshima-ku Tokyo 171-8501 Japan Department of Biotechnology and Life Science Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei-shi Tokyo 185-8588 Japan Department of Basic Science Graduate School of Arts and Sciences The University of Tokyo 3-8-1 Komaba Meguro-ku Tokyo 153-8902 Japan Department of Robotics Graduate School of Engineering Tohoku University 6-6-01 Aramaki-Aza Aoba Aoba-ku Sendai Miyagi 980-8579 Japan Universal Biology Institute The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan

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SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network

arXiv

引用

arXiv 2020年

作者： Huang, Shihua He, Cheng Cheng, Ran The Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen518055 China The Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China

Despite significant advances in image-to-image (I2I) translation with generative adversarial networks (GANs), it remains challenging to effectively translate an image to a set of diverse images in multiple target domains using a single pair of generator and discriminator. Existing I2I translation methods adopt multiple domain-specific content encoders for different domains, where each domain-specific content encoder is trained with images from the same domain only. Nevertheless, we argue that the content (domain-invariance) features should be learned from images among all of the domains. Consequently, each domain-specific content encoder of existing schemes fails to extract the domain-invariant features efficiently. To address this issue, we present a flexible and general SoloGAN model for efficient multimodal I2I translation among multiple domains with unpaired data. In contrast to existing methods, the SoloGAN algorithm uses a single projection discriminator with an additional auxiliary classifier and shares the encoder and generator for all domains. Consequently, the SoloGAN can be trained effectively with images from all domains such that the domain-invariance content representation can be efficiently extracted. Qualitative and quantitative results over a wide range of datasets against several counterparts and variants of the SoloGAN demonstrate the merits of the method, especially for challenging I2I translation datasets, i.e., datasets involving extreme shape variations or need to keep the complex backgrounds unchanged after translations. Furthermore, we demonstrate the contribution of each component in SoloGAN by ablation studies. Impact Statement-Image-to-image (I2I) translation is a popular technology in image synthesis. Owing to the rapid development of artificial intelligence, particularly deep learning, I2I translation has been applied in a wide range of real-world scenarios such as image super-resolution, style transfer, and face swapping. Nevertheless,

关键词： Generative adversarial networks

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A single-crystal silicon resonator for AM demodulation with added second-harmonic modulation

A single-crystal silicon resonator for AM demodulation with ...

引用

2018 Solid-State Sensors, Actuators and Microsystems Workshop, Hilton Head 2018

作者： Galanko, Mary E. Lin, Yi-Chung Mukherjee, Tamal Fedder, Gary K. Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA United States Robotics Institute Carnegie Mellon University PittsburghPA United States

ISBN: (纸本)9781940470030

We report a single-crystal silicon MEMS resonator that functions as a demodulator in a near-zero-power wake-up receiver. The receiver detects an AM signal at a certain carrier frequency fc and primary modulation frequency fm;the demodulator resonates and filters at fm and leverages the quadratic dependence of electrostatic force upon input voltage to convert from high-frequency to baseband. Two key advantages are passive operation and very high out-of-band rejection. In order to increase the sensitivity of the demodulator, we propose the use of additional second-harmonic modulation to increase the response amplitude for a given AM input power. This work considers both the resulting parametric force, which is negligible, and additional direct force, a significant component. This device is the first to our knowledge to demonstrate multi-harmonic mixing and investigate parametric amplification in response to an amplitude-modulated (AM) signal with added modulation at a second-harmonic pumping frequency. © 2018 TRF

关键词： Single crystals

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Slit-strip Ising boundary conformal field theory 1: Discrete and continuous function spaces

arXiv

引用

arXiv 2020年

作者： Ameen, Taha Kytölä, Kalle Park, S.C. Radnell, David Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL United States School of Mathematics Korea Institute of Advanced Study 85 Hoegi-ro Dongdaemun-gu Seoul02455 Korea Republic of Department of Mathematics and Systems Analysis Aalto University P.O. Box 11100 AaltoFI-00076 Finland

This is the first in a series of articles about recovering the full algebraic structure of a boundary conformal field theory (CFT) from the scaling limit of the critical Ising model in slit-strip geometry. Here, we introduce spaces of holomorphic functions in continuum domains as well as corresponding spaces of discrete holomorphic functions in lattice domains. We find distinguished sets of functions characterized by their singular behavior in the three infinite directions in the slit-strip domains, and note in particular that natural subsets of these functions span analogues of Hardy spaces. We prove convergence results of the distinguished discrete holomorphic functions to the continuum ones. In the subsequent articles, the discrete holomorphic functions will be used for the calculation of the Ising model fusion coefficients (as well as for the diagonalization of the Ising transfer matrix), and the convergence of the functions is used to prove the convergence of the fusion coefficients. It will also be shown that the vertex operator algebra of the boundary conformal field theory can be recovered from the limit of the fusion coefficients via geometric transformations involving the distinguished continuum functions. Copyright © 2020, The Authors. All rights reserved.

关键词： Ising model

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