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arXiv 2022年

作者： Kim, Jungbin Yang, Insoon Department of Electrical and Computer Engineering Automation and Systems Research Institute Seoul National University Seoul08826 Korea Republic of

In this paper, we generalize the Nesterov accelerated gradient (NAG) method to solve Riemannian optimization problems in a computationally tractable manner. The iteration complexity of our algorithm matches that of the NAG method on the Euclidean space when the objective functions are geodesically convex or geodesically strongly convex. To the best of our knowledge, the proposed algorithm is the first fully accelerated method for geodesically convex optimization problems without requiring strong convexity. Our convergence rate analysis exploits novel metric distortion lemmas as well as carefully designed potential functions. We also identify a connection with the continuous-time dynamics for modeling Riemannian acceleration in Alimisis et al. [1] to understand the accelerated convergence of our scheme through the lens of continuous-time flows. Copyright © 2022, The Authors. All rights reserved.

关键词： Continuous time systems

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Recognition of Cyclostationary Signal Features Using Nonlinear Oscillators

Recognition of Cyclostationary Signal Features Using Nonline...

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2022 Conference of Russian Young researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： Druzhina, Olga S. Baranov, Georgii D. Tutueva, Aleksandra V. Kolev, Georgii Y. Fedoseev, Petr S. Saint Petersburg Electrotechnical University Department of Computer Aided Design Leti Saint Petersburg Russia Saint Petersburg Electrotechnical University Department of Robotics and Industrial Systems Automation Leti Saint Petersburg Russia Saint Petersburg Electrotechnical University Research Institute Leti Saint Petersburg Russia

ISBN: (纸本)9781665409933

The important engineering problem is monitoring the working state of complex systems such as electric machines. One of tasks is to detect the inductive motor bearing faults by tracking windings currents change. The aim of this study is to analyze the response of nonlinear systems to cyclostationary signals recorded from the three-phase motor. The Duffing oscillator system is studied. The numerical simulation of nonlinear systems with the recorded signals as input is performed. The technique for the analysis of the observed dynamics is proposed. We show that such an approach allows detecting the bearing faults with a high level of confidence. © 2022 IEEE.

关键词： Nonlinear systems

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Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy Approach

arXiv

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arXiv 2022年

作者： Park, Mingyu Shin, Jaeuk Yang, Insoon Department of Electrical and Computer Engineering Automation and Systems Research Institute Seoul National University Seoul08826 Korea Republic of

Partially observable Markov decision processes (POMDPs) is a rich mathematical framework that embraces a large class of complex sequential decision-making problems under uncertainty with limited observations. However, the complexity of POMDPs poses various computational challenges, motivating the need for an efficient algorithm that rapidly finds a good enough suboptimal solution. In this paper, we propose a novel accelerated offline POMDP algorithm exploiting Anderson acceleration (AA) that is capable of efficiently solving fixed-point problems using previous solution estimates. Our algorithm is based on the Q-function approximation (QMDP) method to alleviate the scalability issue inherent in POMDPs. Inspired by the quasi-Newton interpretation of AA, we propose a maximum entropy variant of QMDP, which we call soft QMDP, to fully benefit from AA. We prove that the overall algorithm converges to the suboptimal solution obtained by soft QMDP. Our algorithm can also be implemented in a model-free manner using simulation data. Provable error bounds on the residual and the solution are provided to examine how the simulation errors are propagated through the proposed algorithm. Finally, the performance of our algorithm is tested on several benchmark problems. According to the results of our experiments, the proposed algorithm converges significantly faster without degrading the solution quality compared to its standard counterparts. Copyright © 2022, The Authors. All rights reserved.

关键词： Decision making

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Photoinduced charge-carrier dynamics in a semiconductor-based ion trap investigated via motion-sensitive qubit transitions

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Physical Review A 2024年第4期109卷 043106-043106页

作者： Woojun Lee Daun Chung Honggi Jeon Beomgeun Cho KwangYeul Choi SeungWoo Yoo Changhyun Jung Junho Jeong Changsoon Kim Dong-Il “Dan” Cho Taehyun Kim Department of Computer Science and Engineering Seoul National University Seoul 08826 South Korea Automation and Systems Research Institute Seoul National University Seoul 08826 South Korea Institute of Computer Technology Seoul National University Seoul 08826 South Korea Inter-University Semiconductor Research Center Seoul National University Seoul 08826 South Korea Department of Electrical and Computer Engineering Seoul National University Seoul 08826 South Korea Department of Intelligence and Information Seoul National University Seoul 08826 South Korea Institute of Applied Physics Seoul National University Seoul 08826 South Korea

Ion trap systems built upon microfabricated chips have emerged as a promising platform for quantum computing to achieve reproducible and scalable structures. However, photoinduced charging of materials in such chips can generate undesired stray electric fields that disrupt the quantum state of the ion, limiting high-fidelity quantum control essential for practical quantum computing. While crude understanding of the phenomena has been gained heuristically over the past years, explanations for the microscopic mechanism of photogenerated charge carrier dynamics remains largely elusive. Here we present a photoinduced charging model for semiconductors, whose verification is enabled by a systematic interaction between trapped ions and photoinduced stray fields from exposed silicon surfaces in our chip. We use motion-sensitive qubit transitions to directly characterize the stray field and analyze its effect on the quantum dynamics of the trapped ion. In contrast to incoherent errors arising from the thermal motion of the ion, coherent errors are induced by the stray field, whose effect is significantly imprinted during the quantum control of the ion. These errors are investigated in depth, and methods to mitigate them are discussed. Finally, we extend the implications of our study to other photoinduced charging mechanisms prevalent in ion traps and discuss considerations in fabrication to reduce semiconductor charging.

关键词： Atomic & molecular processes in external fields Defects Photovoltaic effect Surface states Semiconductors Trapped ions Coherent control Finite-element method

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Large-scale Path Planning and Time Window Allocation in UAV-assisted Wireless Sensor Networks with Variational Multi-dimensional Optimization

Large-scale Path Planning and Time Window Allocation in UAV-...

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IEEE International Conference on automation Science and Engineering (CASE)

作者： Boyuan Zhang Rui Lai Guanghong Gong Haitao Yuan Jinhong Yang Jia Zhang MengChu Zhou School of Automation Science and Electrical Engineering Beihang University Beijing China CSSC Systems Engineering Research Institute in Beijing China Department of Computer Science Lyle School of Engineering at Southern Methodist University Dallas TX USA Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Wireless Sensor Networks (WSNs) have been widely deployed, and it is crucial to enhance their network longevity and transmission efficiency. This work comprehensively considers communication interference, transmission rate constraints, and motion constraints of Unmanned Aerial Vehicles (UAVs). We propose an energy-efficient UAV-assisted WSN framework with big data transmission. To minimize the weighted sum of UAV’s and WSNs’ energy consumption, we jointly optimize sensor clustering, path planning, and time window allocation by an improved intelligent optimization algorithm assisted by deep learning named Variational Multidimensional Optimization (VMO) with co-evolved Multiple Subpopulations, noted as VMOMS for short. The effectiveness of the proposed VMOMS algorithm for solving high-dimensional problems is demonstrated through numerical analysis and simulation results. These findings highlight the efficiency and practicality of the designed UAV-assisted hierarchical architecture of WSNs, thereby showcasing its potential to enable reliable data transmission from remote WSNs to a centralized cloud server.

关键词： Wireless sensor networks Clustering algorithms Big Data Autonomous aerial vehicles Path planning Energy efficiency Peer-to-peer computing Resource management Optimization Convergence

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Unseen Road Type Detection in Road Networks for Intelligent Transportation systems

Unseen Road Type Detection in Road Networks for Intelligent ...

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International Conference on Intelligent Transportation

作者： Daeho Um Yuneil Yeo Ji Won Yoon Jin Young Choi Department of Electrical and Computer Engineering Automation and Systems Research Institute (ASRI) Seoul National University Seoul South Korea Department of Civil and Environmental Engineering University of California Berkeley USA Department of Artificial Intelligence Chung-Ang University Seoul South Korea

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

Existing methods for road type (highway, trunk road, etc.) classification assume that every road in real environments belongs to a road type seen during training. However, there are unseen road types in real-world scenarios. Thus, unreliable classification of an unseen-type road into a seen road type can cause critical safety issues in road-related applications. In this paper, we introduce a new framework to detect unseen road types. To this end, we adopt an out-of-distribution (OOD) detection approach studied in the deep learning field. However, conventional graph-based node-level OOD detection methods cannot be directly applied to the unseen road type detection problem since roads are represented by edges in road networks. To resolve this problem, we establish a new formulation of edge-level OOD detection and propose a novel energy propagation scheme on a line graph transformed from a road network to obtain OOD scores. Experimental results on real-world road networks demonstrate the effectiveness of our method, achieving state-of-the-art performance in unseen road type detection.

关键词： Training Deep learning Roads Image edge detection Energy resolution Safety Intelligent transportation systems

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Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning

Renderable Street View Map-Based Localization: Leveraging 3D...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Howoong Jun Hyeonwoo Yu Songhwai Oh Artificial Intelligence (IPAI) Seoul National University and Automation and Systems Research Institute (ASRI) and Sequor Robotics Inc. Seoul Korea Republic of Department of Intelligent Robotics & Mechanical Engineering Sungkyunkwan University (SKKU) Suwon-si Korea Republic of Department of Electrical and Computer Engineering (ECE) & Interdisciplinary Program in Artificial Intelligence (IPAI) Seoul National University and Automation and Systems Research Institute (ASRI) and Sequor Robotics Inc. Seoul Korea Republic of

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In this paper, we introduce a new method that first utilizes 3D Gaussian splatting in street-level localization problem. Robust localization with street-level real-world images such as street view is a major issue for autonomous vehicle, augmented reality (AR) navigation, and outdoor mobile robots. The objective is to determine the position and orientation of a query image that matches a street view database composed of RGB images. However, given the limited information available in the street view images, accurately determining the location solely based on this data presents a significant challenge. To address this challenge, we propose a novel method called renderable street view map-based localization (RSM-Loc). This approach enhances the localization process by augmenting 2D street view images into a renderable 3D map using 3D Gaussian splatting, to resolve street-level localization problems. Upon receiving a query RGB image without geometry information, the proposed method renders 2D images from a pre-made renderable map and compares image pose similarities between the rendered images and the query image. Through iterations of this process, the proposed method eventually estimates the pose of the given query image. The experimental results demonstrate that RSM-Loc outperforms the baselines with neural-field-based localization. Additionally, we conduct deep analysis on the proposed method to show that our method can serve as a new concept for the street-level localization problem.

关键词： Location awareness Visualization Matched filters Three-dimensional displays Image resolution Navigation Noise measurement Mobile robots Intelligent robots Image reconstruction

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Hybrid Three-Layer Sub-Harmonic Synchronous Machine using Consequent Pole Permanent Magnets

Hybrid Three-Layer Sub-Harmonic Synchronous Machine using Co...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： S M Sajjad Hossain Rafin Qasim Ali Fei Zhao Osama A. Mohammed Department of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami FL USA Department of Electrical Engineering Sukkur IBA University Sukkur Pakistan School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

A novel three-layer sub-harmonic synchronous machine is proposed, equipped with consequent permanent magnets and windings for superior torque generation and better overall performance. The consequent pole PM rotor design reduces the PM quantity by half versus conventional configurations without compromising performance. Finite element analysis of an 8-pole, 48-slot machine verifies a 6% increase in torque generation and 4 % lower torque ripple compared to a fully PM -assisted design. The proposed machine also outperforms alternatives on metrics, including torque density and efficiency. These favorable characteristics demonstrate the promise of the topology as a cost-effective, high-performing electric propulsion candidate. This work contributes to an innovative machine advancing progress toward affordable PM -assisted synchronous motors.

关键词： Measurement Torque Windings Rotors Magnetic devices Production Propulsion

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Analysis of Air-Gap Field Modulation in Asymmetric Stator Tooth Bilateral-Excitation Flux Modulation Machine

Analysis of Air-Gap Field Modulation in Asymmetric Stator To...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Fei Zhao Kuang Yang Ruixiang Liu Jincheng Yu S M Sajjad Hossain Rafin Qasim Ali School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China Dept. of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University USA Department of Electrical Engineering Sukkur IBA University Pakistan

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

In view of the complexity of the flux density harmonic components of bilateral-excitation flux modulation (BFM) machines, it is not easy to analyze the role of air-gap flux density harmonics on the electromagnetic torque of BFM machines. In this digest, Taking the novel asymmetric stator tooth (AST) BFM machine as the research object, the flux modulation phenomena of the PM magneto motive-force (MMF) and armature winding MMF are analyzed in detail. Meanwhile, based on the air-gap field modulation theory and Maxwell stress tensor equation, the contribution of air-gap flux density harmonics to the electromagnetic torque of the BFM machine is obtained.

关键词： Magnetic flux Torque Tensors Magnetomechanical effects Air gaps Windings Modulation

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Multimodal Emotion Recognition Based on Multi-Scale Facial Features and Cross-Modal Attention

Multimodal Emotion Recognition Based on Multi-Scale Facial F...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Chengao Bao Luefeng Chen Min Li Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Wuhan China the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation and the Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Tokyo Institute of Technology Yokohama Japan Tokyo Institute of Technology Tokyo Japan

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branch ViT architecture by using classification tokens in each branch to interact with picture embeddings in the other branch, which facilitates effective interactions between different scales of information. Subsequently, audio features are extracted using ResNet18 network. The cross-modal attention mechanism is used to obtain the weight matrices between different modal features, making full use of inter-modal correlation and effectively fusing visual and audio features for more accurate emotion recognition. Two datasets are used for the experiments: eNTERFACE'05 and REDVESS dataset. The experimental results show that the accuracy of the proposed method on the eNTERFACE'05 and REDVESS datasets is 85.42% and 83.84% respectively, which proves the effectiveness of the proposed method.

关键词： Emotion recognition Visualization Accuracy Service robots Semantics Human-robot interaction Speech recognition Feature extraction Data mining Facial features

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