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36th International Conference on Algorithmic Learning Theory, ALT 2025

作者： Lou, Mengqi Bresler, Guy Pananjady, Ashwin School of Industrial and Systems Engineering Georgia Tech United States Department of Electrical Engineering and Computer Science MIT United States Schools of Industrial and Systems Engineering and Electrical and Computer Engineering Georgia Tech United States

We study the problem of approximately transforming a sample from a source statistical model to a sample from a target statistical model without knowing the parameters of the source model, and construct several computationally efficient such reductions between canonical statistical experiments. In particular, we provide computationally efficient procedures that approximately reduce uniform, Erlang, and Laplace location models to general target families. We illustrate our methodology by establishing nonasymptotic reductions between some canonical high-dimensional problems, spanning mixtures of experts, phase retrieval, and signal denoising. Notably, the reductions are structure-preserving and can accommodate missing data. We also point to a possible application in transforming one differentially private mechanism to another. © 2025 M. Lou, G. Bresler & A. Pananjady.

关键词： Differential privacy

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Fusion of color and hallucinated depth features for enhanced multimodal deep learning-based damage segmentation

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Earthquake engineering and engineering Vibration 2023年第1期22卷 55-68页

作者： Tarutal Ghosh Mondal Mohammad Reza Jahanshahi Civil Architectural and Environmental EngineeringMissouri University of Science and TechnologyRollaMOUSA Lyles School of Civil Engineering Purdue UniversityWest LafayetteINUSA School of Electrical and Computer Engineering Purdue UniversityWest LafayetteINUSA

Recent advances in computer vision and deep learning have shown that the fusion of depth information can significantly enhance the performance of RGB-based damage detection and segmentation ***,alongside the advantages,depth-sensing also presents many practical *** instance,the depth sensors impose an additional payload burden on the robotic inspection platforms limiting the operation time and increasing the inspection ***,some lidar-based depth sensors have poor outdoor performance due to sunlight contamination during the *** this context,this study investigates the feasibility of abolishing depth-sensing at test time without compromising the segmentation *** autonomous damage segmentation framework is developed,based on recent advancements in vision-based multi-modal sensing such as modality hallucination(MH)and monocular depth estimation(MDE),which require depth data only during the model *** the time of deployment,depth data becomes expendable as it can be simulated from the corresponding RGB *** makes it possible to reap the benefits of depth fusion without any depth perception per *** study explored two different depth encoding techniques and three different fusion strategies in addition to a baseline RGB-based *** proposed approach is validated on computer-generated RGB-D data of reinforced concrete buildings subjected to seismic *** was observed that the surrogate techniques can increase the segmentation IoU by up to 20.1%with a negligible increase in the computation ***,this study is believed to make a positive contribution to enhancing the resilience of critical civil infrastructure.

关键词： multimodal data fusion depth sensing vision-based inspection UAV-assisted inspection damage segmentation post-disaster reconnaissance modality hallucination monocular depth estimation

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Digital twin‐based multi‐objective autonomous vehicle navigation approach as applied in infrastructure construction

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IET Cyber-Systems and Robotics 2024年第2期6卷 1-19页

作者： Tingjun Lei Timothy Sellers Chaomin Luo Lei Cao Zhuming Bi Department of Electrical and Computer Engineering Mississippi State UniversityMississippi StateMississippiUSA Department of Electrical and Computer Engineering University of MississippiUniversityMississippiUSA Department of Civil and Mechanical Engineering Purdue University Fort WayneFort WayneIndianaUSA

The widespread adoption of autonomous vehicles has generated considerable interest in their autonomous operation,with path planning emerging as a critical ***,existing road infrastructure confronts challenges due to prolonged use and insufficient *** research on autonomous vehicle navigation has focused on determining the trajectory with the shortest distance,while neglecting road construction information,leading to potential time and energy inefficiencies in real-world scenarios involving infrastructure *** address this issue,a digital twin-embedded multi-objective autonomous vehicle navigation is proposed under the condition of infrastructure *** authors propose an image processing algorithm that leverages captured images of the road construction environment to enable road extrac-tion and modelling of the autonomous vehicle ***,a wavelet neural network is developed to predict real-time traffic flow,considering its inherent ***,a multi-objective brainstorm optimisation(BSO)-based method for path planning is introduced,which optimises total time-cost and energy consumption objective *** ensure optimal trajectory planning during infrastructure con-struction,the algorithm incorporates a real-time updated digital twin throughout autonomous vehicle *** effectiveness and robustness of the proposed model are validated through simulation and comparative studies conducted in diverse scenarios involving road *** results highlight the improved performance and reli-ability of the autonomous vehicle system when equipped with the authors’approach,demonstrating its potential for enhancing efficiency and minimising disruptions caused by road infrastructure development.

关键词： autonomous vehicle intelligent robots motion planning navigation path planning robot planning

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Fabrication Techniques for Multilayer Printed Flexible Hybrid Sensor Systems

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2024年第5期3卷 181-189页

作者： Pravin Kachhadiya, Jeneel Tewani, Hridyesh Prabhakar, Pavana Andrews, Joesph B. University of Wisconsin-Madison Department of Electrical and Computer Engineering MadisonWI53706 United States University of Wisconsin-Madison Department of Civil and Environmental Engineering MadisonWI53706 United States University of Wisconsin-Madison Department of Civil and Environmental Engineering Department of Mechanical Engineering MadisonWI53706 United States University of Wisconsin-Madison Department of Mechanical Engineering Department of Electrical and Computer Engineering MadisonWI53706 United States

Additive manufacturing holds the potential to revolutionize circuit fabrication and enable the widespread adoption of printed electronics, particularly in flexible applications, such as wearable or conformable electronic sensing systems. However, realizing practical circuits with multilayer interconnects or vertical interconnect accesses (VIAs) using additive methods, flexible substrates pose significant challenges. In this study, we systematically evaluate four different methods for fabricating VIAs in flexible printed circuits: soldered, printed, conductive epoxy, and zero-ohm jumper VIAs. Through comprehensive testing involving various levels of bending strains, we measure changes in conductive properties and mechanical integrity to validate each method. Our results indicate that printed VIAs exhibit the most desirable properties compared to other methods, with a baseline resistance of approximately 0.9~\Omega and a change of approximately 7% when subjected to a bending radius of 12 mm. Additionally, cyclic bending tests and tensile strength test were exclusively carried out on the printed VIAs to evaluate their resilience under bending and tensile strains. Leveraging the superior performance of printed VIAs, we successfully manufacture a fully conformable impact sensing system capable of adhering to a sports ball, thereby demonstrating their effectiveness in practical applications. This study underscores the utility and potential of multilayer flexible PCB fabrication using additive printing technology, highlighting its significance in advancing the development of innovative electronic systems with enhanced flexibility and reliability. The findings presented herein offer valuable insights into the optimization of VIA fabrication methods and their implications for the design and deployment of flexible electronic devices in diverse real-world scenarios. © 2022 IEEE.

关键词： Flexible electronics

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High-Frequency Power Loss Investigation of Pavement Materials in Roadway Inductive Charging System

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7475-7487页

作者： Zheng, Zilong Chen, Xiao Wang, Yao Zhang, Hua Wang, Hao Lu, Fei Drexel University Department of Electrical and Computer Engineering PhiladelphiaPA19104 United States The State University of New Jersey Department of Civil and Environmental Engineering at Rutgers New BrunswickNJ08901 United States Nanyang Technological University School of Electrical and Electronic Engineering Jurong West 639798 Singapore Lehigh University Department of Electrical and Computer Engineering BethlehemPA18015 United States

The rapid advancement of electric vehicles (EVs) offers a significant reduction in carbon emissions by replacing fossil fuels with more sustainable energy sources. This article studies wireless charging technology for EVs, focusing on high-frequency power losses. It presents an experimental investigation into the inductive power transfer (IPT) system’s efficiency under various pavement materials (specifically, asphalt and concrete), revealing significant power losses due to material electromagnetic properties. This research provides insights into optimizing IPT system design through empirical analysis of power losses across different frequencies and magnetic flux densities. Three main contributions are highlighted: quantifying power loss density, developing an empirical equation for magnetic losses, and identifying the significant impact of pavement materials on overall system efficiency. A 17.8-kW IPT system is implemented to measure and validate the power losses in pavement materials. This research underscores the critical need for interdisciplinary approaches to enhance the feasibility of IPT systems for future autonomous and smart city applications. © 2015 IEEE.

关键词： Inductive power transmission

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Optimal Inference of Hidden Markov Models Through Expert-Acquired Data

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第8期5卷 3985-4000页

作者： Ravari, Amirhossein Ghoreishi, Seyede Fatemeh Imani, Mahdi Northeastern University Department of Electrical and Computer Engineering BostonMA02115 United States Northeastern University Department of Civil and Environmental Engineering Khoury College of Computer Sciences BostonMA02115 United States

This article focuses on inferring a general class of hidden Markov models (HMMs) using data acquired from experts. Expert-acquired data contain decisions/actions made by humans/users for various objectives, such as navigation data reflecting drivers' behavior, cybersecurity data carrying defender decisions, and biological data containing the biologist's actions (e.g., interventions and experiments). Conventional inference methods rely on temporal changes in data without accounting for expert knowledge. This article incorporates expert knowledge into the inference of HMMs by modeling expert behavior as an imperfect reinforcement learning agent. The proposed method optimally quantifies experts' perceptions about the system model, which, alongside the temporal changes in data, contributes to the inference process. The proposed inference method is derived through a combination of dynamic programming and optimal recursive Bayesian estimation. The applicability of this method is demonstrated to a wide range of inference criteria, such as maximum likelihood and maximum a posteriori. The performance of the proposed method is investigated through a comprehensive numerical experiment using a benchmark problem and biological networks. © 2020 IEEE.

关键词： Hidden Markov models

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Nonlinear coupling of closely spaced modes in atomically thin MoS2 nanoelectromechanical resonators

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Microsystems & Nanoengineering 2024年第6期10卷 581-591页

作者： S M Enamul Hoque Yousuf Steven W.Shaw Philip X.-L.Feng Department of Electrical and Computer Engineering University of FloridaGainesvilleFL 32611USA Department of Mechanical and Civil Engineering Florida Institute of TechnologyMelbourneFL 32901USA Department of Mechanical Engineering Department of Physics and AstronomyMichigan State UniversityEast LansingMI 48423USA

Nanoelectromechanical systems(NEMS)incorporating atomic or molecular layer van der Waals materials can support multimode resonances and exotic nonlinear *** we investigate nonlinear coupling of closely spaced modes in a bilayer(2L)molybdenum disulfide(MoS_(2))nanoelectromechanical *** model the response from a drumhead resonator using equations of two resonant modes with a dispersive coupling term to describe the vibration induced frequency shifts that result from the induced change in *** employ method of averaging to solve the equations of coupled modes and extract an expression for the nonlinear coupling coefficient(λ)in closed *** thermomechanical noise spectral measurements are used to calibrate the vibration amplitude of mode 2(a_(2))in the displacement *** drive mode 2 near its natural frequency and measure the shifted resonance frequency of mode 1(f_(1s))resulting from the dispersive *** model yieldsλ=0.027±0.005 pm^(-2)·μs^(-2) from thermomechanical noise measurement of mode *** model also captures an anomalous frequency shift of the undriven mode 1 due to nonlinear coupling to the driven mode 2 mediated by large dynamic *** study provides a direct means to quantifyingλby measuring the thermomechanical noise in NEMS and will be valuable for understanding nonlinear mode coupling in emerging resonant systems.

关键词： dynamics coupling nonlinear

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Status Update on the IEEE Rebooting Computing Initiative

Status Update on the IEEE Rebooting Computing Initiative

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2023 IEEE John Vincent Atanasoff Symposium on Modern Computing, JVA 2023

作者： Conte, Thomas M. Schools of Computer Science and Electrical & Computer Engineering Georgia Institute of Technology AtlantaGA United States

ISBN: (纸本)9798350328899

It's been 10 years since the IEEE launched the Rebooting Computing Initiative (RCI) with the intention to re-examine all levels of how we compute. Back then, the term 'post-Moore' was just coming into vogue. The RCI held several invitation-only summits and then opened the doors to others by launching the International Symposium on Rebooting Computing. Through the intervening years, many new ideas in how to rethink our computing levels of abstraction have been proposed. This paper examines some of those proposals, discusses their current status, and reviews the road ahead © 2023 IEEE.

关键词： non von Neumann computing post-Moore computing Rebooting Computing

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Multifaceted progress in high-field superconducting magnet mechanics

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Acta Mechanica Sinica 2024年第4期40卷 1-3页

作者： Xingzhe Wang Seungyong Hahn Key Laboratory of Mechanics on Western Disaster and Environment Ministry of EducationCollege of Civil Engineering and MechanicsLanzhou UniversityLanzhou 730000China Department of Electrical and Computer Engineering Seoul National UniversitySeoul 08826Republic of Korea

High-field superconducting magnets are poised to revolutionize technologies,including particle accelerators,magnetic resonance imaging(MRI)machines,and fusion *** stand at the frontier of superconductor ***_(3)Sn wires,which operate at cold temperatures,along with rare-earth barium copper oxide(REBCO)coated conductors that include rare earth elements like Y,Gd,and Dy,are gaining *** high electrical efficiency in strong magnetic fields makes them particularly attractive for such advanced applications.

关键词： Nb_(3)Sn field earth

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Full-Scale Thermal and Mechanical Testing of Pavement With Embedded High-Power Dynamic Wireless Power Transfer Coil

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7615-7625页

作者： Imran, Zainab Moncada, Oscar A. Vickers, Connor Aliprantis, Dionysios Haddock, John E. Pekarek, Steven D. Brovont, Aaron Purdue University Elmore Family School of Electrical and Computer Engineering West LafayetteIN47907 United States Purdue University Lyles School of Civil and Construction Engineering West LafayetteIN47907 United States

This article describes an experimental setup for testing the thermal and mechanical performance of pavement that includes transmitter (tx) coils designed for high-power dynamic wireless power transfer (WPT). Two types of pavement test sections (rigid and flexible) are constructed within an accelerated pavement testing (APT) facility. Traffic simulation is carried out to examine the performance of the unit under realistic load conditions. The experimental results show a modest temperature rise due to the Joule loss of the coil. Strain measurements taken at various locations in the pavement are also reported, showing behavior consistent with that expected in the materials used. © 2015 IEEE.

关键词： Inductive power transmission

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