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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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A Novel Random Pulse Width Modulation for PMSM Drive System Based on Unified Voltage Modulation

A Novel Random Pulse Width Modulation for PMSM Drive System ...

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Energy, Power and Grid (ICEPG), International Conference on

作者： Jinpeng Kan Yongqing Meng Yixin Shi Fengjiao Li Wenjie Chen Changyi Li School of Electrical Engineering Xi’an Jiaotong University Xi’an China Department of Computer and Electronic Systems Engineering AVIC Xi’an Flight Automatic Control Research Institute Xi’an China

ISBN: (数字)9798350377798

ISBN: (纸本)9798350377804

The electromagnetic interference (EMI) problem caused by power electronic switching devices and pulse width modulation (PWM) affects the normal operation of the motor drive system. In this paper, a random PWM based on unified modulation is proposed for permanent magnet synchronous motor (PMSM) drive system. The theoretical basis of unified modulation and the implementation scheme of random modulation are analyzed. Finally, the effectiveness of the proposed random PWM is verified by simulation.

关键词： Motor drives Electromagnetic interference Voltage Switches Pulse width modulation Permanent magnet motors Power electronics Electromagnetics

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The Smart Hospital: Data and AI Challenges

The Smart Hospital: Data and AI Challenges

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2023 IEEE EMBS Special Topic Conference on Data Science and engineering in Healthcare, Medicine and Biology, IEEECONF 2023

作者： Plati, Daphni K. Konstantakopoulos, Fotios S. Kalatzis, Theofanis Manousos, Dimitrios Kassiotis, Thomas Di Luzio, Francesco Scotto Tagliamonte, Nevio Luigi Zollo, Loredana Tsiknakis, Manolis Fotiadis, Dimitrios I. University of Ioannina Unit of Medical Technology and Intelligent Information Systems Materials Science and Engineering Department Greece Forth Biomedical Research Institute IoanninaGR 45110 Greece Forth Institute of Computer Science Crete HeraklionGR 70013 Greece Campus Bio-Medico University Research Unit of Advanced Robotics and Human-Centred Technologies Rome Italy

ISBN: (纸本)9798350383386

Healthcare systems generally constitute a combination of healthcare facilities and providers that collaborate in order to offer a complete range of healthcare services. As the primary providers of healthcare, hospitals hold an essential place in the healthcare system. This study introduces three novel automated Artificial Intelligence (AI) systems by using the robotic platform of the TIAGo robot: (i) an image-based system that monitors the food consumption of the patients and provides information regarding their energy intake to prevent malnutrition;(ii) a rehabilitation system that monitors patients as they perform prescribed exercises to prevent loss of mobility, and (iii) a monitoring system for the correctness of the oxygen therapy in terms of the proper positioning of the oxygen mask to prevent hypoxia complications. A well-designed observational clinical study is planned to evaluate and validate the utility and effectiveness of the proposed AI systems in improving patient stay in the hospital. For the abovementioned systems, three novel datasets were *** Relevance: Through the implementation of AI systems, the proposed research intends to provide specialists with an extra tool to aid in the monitoring of hospitalized patients, thus helping to prepare the way for the Smart Hospital. © 2023 IEEE.

关键词： Hospitals

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Prediction of Radiated Electromagnetic Interference Based on Four-module Motor Drive System

Prediction of Radiated Electromagnetic Interference Based on...

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Energy, Power and Grid (ICEPG), International Conference on

作者： Yixin Shi Wenjie Chen Fengjiao Li Jinpeng Kan Yongqing Meng Guang Yang School of Electrical Engineering Xi’an Jiaotong University Xi’an China Department of Computer and Electronic Systems Engineering AVIC Xi’an Flight Automatic Control Research Institute Xi’an China

ISBN: (数字)9798350377798

ISBN: (纸本)9798350377804

In recent years, wide bandgap semiconductor devices such as silicon carbide (SiC) and gallium nitride (GaN) have been increasingly applied in electric drive systems, effectively enhancing system power density. However, the high-frequency and high-speed characteristics of SiC devices exacerbate electromagnetic interference (EMI) issues within the system. Additionally, the cables in electric drive systems exhibit significant antenna effects, radiating conducted EMI into the surrounding space, thereby affecting the normal operation of other sensitive equipment. Therefore, it is essential to research motor drive system topologies that can actively suppress EMI and predict radiated interference in motor drive systems. The topology of a four-module motor paired with parallel inverters can achieve active suppression of EMI at the source. This paper conducts a simulation-based prediction of radiated interference for a parallel inverter-driven four-module motor system. It analyzes the coupling mechanisms of common mode and differential mode radiated interference and validates the radiated interference from both DC and AC cables through simulations, predicting the impact on surrounding sensitive equipment in practical systems.

关键词： Motor drives Accuracy Silicon carbide Electromagnetic interference Layout Predictive models Motors Topology Gallium nitride Cables

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Real time full-color imaging in a Meta-optical fiber endoscope

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eLight 2023年第1期3卷 147-154页

作者： Johannes E.Froch Luocheng Huang Quentin A.A.Tanguy Shane Colburn Alan Zhan Andrea Ravagli Eric J.Seibel Karl F.Bohringer Arka Majumdar Department of Physics University of WashingtonSeattleWA 98195USA Department of Electrical and Computer Engineering University of WashingtonSeattleWA 98195USA Tunoptix Fluke Hall4000 Mason Road 300WA 98195 SeattleUSA SCHOTT North America Inc.SouthbridgeMA 01550USA Department of Mechanical Engineering University of WashingtonSeattleWA 98195USA Department of Bioengineering University of WashingtonSeattleWA 98195USA Institute for Nano-Engineered Systems University of WashingtonSeattleWA 98195USA

Endoscopes are an important component for the development of minimally invasive *** size is one of the most critical aspects,because smaller and less rigid endoscopes enable higher agility,facilitate larger accessibility,and induce less stress on the surrounding *** all existing endoscopes,the size of the optics poses a major limitation in miniaturization of the imaging *** only is making small optics difficult,but their performance also degrades with ***-optics have recently emerged as a promising candidate to drastically miniaturize optics while achieving similar functionalities with significantly reduced ***,we report an inverse-designed meta-optic,which combined with a coherent fiber bundle enables a 33%reduction in the rigid tip length over traditional gradient-index(GRIN)*** use the meta-optic fiber endoscope(MOFIE)to demonstrate real-time video capture in full visible color,the spatial resolution of which is primarily limited by the fiber *** work shows the potential of meta-optics for integration and miniaturization of biomedical devices towards minimally invasive surgery.

关键词： Endoscopy Meta-optics Nano-fabrication Biomedical engineering

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HYPER-DRIVE: VISIBLE-SHORT WAVE INFRARED HYPERSPECTRAL IMAGING DATASETS FOR ROBOTS IN UNSTRUCTURED ENVIRONMENTS

arXiv

引用

arXiv 2023年

作者： Hanson, Nathaniel Pyatski, Benjamin Hibbard, Samuel DiMarzio, Charles Padır, Taşkın Institute for Experiential Robotics Northeastern University BostonMA United States Electrical and Computer Engineering Department Northeastern University BostonMA United States

Hyperspectral sensors have enjoyed widespread use in the realm of remote sensing;however, they must be adapted to a format in which they can be operated onboard mobile robots. In this work, we introduce a first-of-its-kind system architecture with snapshot hyperspectral cameras and point spectrometers to efficiently generate composite datacubes from a robotic base. Our system collects and registers datacubes spanning the visible to shortwave infrared (660-1700 nm) spectrum while simultaneously capturing the ambient solar spectrum reflected off a white reference tile. We collect and disseminate a large dataset of more than 500 labeled datacubes from on-road and off-road terrain compliant with the ATLAS ontology to further the integration and demonstration of hyperspectral imaging (HSI) as beneficial in terrain class separability. Our analysis of this data demonstrates that HSI is a significant opportunity to increase understanding of scene composition from a robot-centric context. All code and data are open source online: https://***/hyper_drive_data. © 2023, CC BY.

关键词： Hyperspectral imaging

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Decision-Making Framework For AMR Fleet Size In Manufacturing Environments 25

Decision-Making Framework For AMR Fleet Size In Manufacturin...

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25th IEEE International Conference on Autonomous Robot systems and Competitions, ICARSC 2025

作者： Rema, Catarina Santos, Romao Piqueiro, Henrique Matos, Diogo Miguel Oliveirat, Paulo Moura Costa, Pedro Silva, Manuel F. Department of Engineering Vila Real Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science CRIIS - Centre for Robotics in Industry and Intelligent Systems Porto4200-465 Portugal Faculty of Engineering Porto4200-465 Portugal ISEP Polytechnic of Porto rua Dr. António Bernardino de Almeida Porto4249-015 Portugal JPM Industry Vale de Cambra3731-901 Portugal

ISBN: (纸本)9798331538606

Industry 4.0 is transforming manufacturing environments, with robotics being a key technology that enhances various capabilities. The flexibility of Autonomous Mobile Robots has led to the rise of multi-robot systems in industrial settings. Considering the high cost of these robots, it is essential to determine the best fit of number and type before making any major investments. Simulation and modeling are valuable decision-support tools, allowing the simulation of different setups to address robot fleet sizing issues. This paper introduces a decision-support framework that combines a fleet manager software stack with the FlexSim simulator, helping decision-makers determine the most suitable mobile robots fleet size tailored to their needs. Unlike previous approaches, the developed solution integrates the same real robot coordination software in both simulation and actual deployment, ensuring that tested scenarios accurately reflect real-world conditions. A case study was conducted to evaluate the framework, involving multiple tasks of loading and unloading materials within a warehouse. Five different scenarios with varying fleet sizes were simulated, and their performances assessed. The analysis concluded that, for the case study under consideration, a fleet of three robots was the most suitable, considering relevant key performance indicators. The results confirmed that the developed solution is an effective alternative for addressing the problem and represents a novel technology with no prior state-of-the-art equivalents. © 2025 IEEE.

关键词： Multipurpose robots

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Repairing Reed-Solomon Codes over Prime Fields via Exponential Sums

Repairing Reed-Solomon Codes over Prime Fields via Exponenti...

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IEEE International Symposium on Information Theory

作者： Roni Con Noah Shutty Itzhak Tamo Mary Wootters Blavatnik School of Computer Science Tel Aviv University Stanford Institute for Theoretical Physics Stanford University Department of Electrical Engineering-Systems Tel Aviv University Department of Computer Science and Electrical Engineering Stanford University

This paper presents several repair schemes for lowrate Reed Solomon (RS) codes over prime fields that can repair any node by downloading a constant number of bits from each surviving node. The resulting total bandwidth is higher than the bandwidth incurred during the trivial repair; however, this is still interesting in the context of leakage-resilient secret sharing. In that language, our results give attacks that show that k-out-of-n Shamir’s Secret Sharing over prime fields for small k is not leakage resilient, even if the parties only leak a constant number of bits. To the best of our knowledge, these are the first such *** another application, we provide decoding schemes for RS codes over prime fields, where the entire RS codeword is recovered by transmitting a constant number of bits from each *** results follow from a novel connection between exponential sums and repair of RS codes. In particular, we show that nontrivial bounds on certain exponential sums imply the existence of efficient nonlinear repair schemes for RS codes over prime fields.

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Reduced-Order Model-Based Gait Generation for Snake Robot Locomotion using NMPC

arXiv

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arXiv 2025年

作者： Salagame, Adarsh Sihite, Eric Ramezani, Milad Ramezani, Alireza the Department of Electrical and Computer Engineering Northeastern University BostonMA United States California Institute of Technology PasadenaCA United States with CSIRO Robotics DATA61 CSIRO Brisbane Australia

This paper presents an optimization-based motion planning methodology for snake robots operating in constrained environments. By using a reduced-order model, the proposed approach simplifies the planning process, enabling the optimizer to autonomously generate gaits while constraining the robot’s footprint within tight spaces. The method is validated through high-fidelity simulations that accurately model contact dynamics and the robot’s motion. Key locomotion strategies are identified and further demonstrated through hardware experiments, including successful navigation through narrow corridors. Copyright © 2025, The Authors. All rights reserved.

关键词： Robot programming

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Preprocessing Taste Data for Deep Neural Networks

Preprocessing Taste Data for Deep Neural Networks

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Hyunjong Lee Han Hee Jung Jeongho Kwak Junwoo Yea Jihwan P. Choi Kyung-In Jang Department of Electrical Engineering and Computer Science Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu Republic of Korea Department of Robotics and Mechatronics Engineering DGIST Daegu Republic of Korea Department of Electrical Engineering and Computer Science DGIST Daegu Republic of Korea Department of Aerospace Engineering Korea Advance Institute of Science and Technology (KAIST) Dajeon Republic of Korea

Analyzing wine using taste data is a promising field due to the explosive expansion of online commerce. However, because of the wide variety of wine types with different flavors and aromas, it is difficult for consumers to choose the wine that suits their taste, and also difficult for sellers to recommend appropriate wines to consumers. Therefore, it is necessary to numerically analyze and classify wine, and a deep learning algorithm which mimics the human brain is appropriate for analyzing the wine data [1]. In this paper, we introduce several studies of wine classification using deep learning architectures and propose preprocessing methods for applying the taste data of wine to deep learning networks.

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