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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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Direct Data-Driven State-Feedback Control of General Nonlinear systems

Direct Data-Driven State-Feedback Control of General Nonline...

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IEEE Conference on Decision and Control

作者： Chris Verhoek Patrick J. W. Koelewijn Sofie Haesaert Roland Tóth Dept. of Electrical Engineering Control Systems group Eindhoven University of Technology The Netherlands Institute for Computer Science and Control Budapest Hungary

Through the use of the Fundamental Lemma for linear systems, a direct data-driven state-feedback control synthesis method is presented for a rather general class of nonlinear (NL) systems. The core idea is to develop a data-driven representation of the so-called velocity-form, i.e., the time-difference dynamics, of the NL system, which is shown to admit a direct linear parameter-varying (LPV) representation. By applying the LPV extension of the Fundamental Lemma in this velocity domain, a state-feedback controller is directly synthesized to provide asymptotic stability and dissipativity of the velocity-form. By using realization theory, the synthesized controller is realized as a NL state-feedback law for the original unknown NL system with guarantees of universal shifted stability and dissipativity, i.e., stability and dissipativity w.r.t. any (forced) equilibrium point, of the closed-loop behavior. This is achieved by the use of a single sequence of data from the system and a predefined basis function set to span the scheduling map. The applicability of the results is demonstrated on a simulation example of an unbalanced disc.

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Live Demo: E2P-Events to Polarization Reconstruction from PDAVIS Events

Live Demo: E2P-Events to Polarization Reconstruction from PD...

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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Delbruck, Tobi Wang, Zuowen Mei, Haiyang Haessig, Germain Joubert, Damien Haque, Justin Chen, Yingkai Milde, Moritz B. Gruev, Viktor Univ. of Zurich and ETH Zurich Sensors Group Institute of Neuroinformatics Switzerland Center for Vision Automation & Control High-Performance Vision Systems AIT Austrian Institute of Technology Vienna Austria Western Sydney University Intl. Centre for Neuromorphic Systems The MARCS Institute Sydney Australia University of Illinois at Urbana-Champaign Dept. of Electrical and Computer Engineering UrbanaIL United States

This demonstration shows live operation of of PDAVIS polarization event camera reconstruction by the E2P DNN reported in the main CVPR conference paper Deep Polarization Reconstruction with PDAVIS Events (paper 9149 [... 详细信息

ISBN: (纸本)9798350302493

关键词： Polarization

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Feedforward Control in the Presence of Input Nonlinearities: With Application to a Wirebonder

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IFAC-PapersOnLine 2023年第2期56卷 1895-1900页

作者： Maurice Poot Jilles van Hulst Kai Wa Yan Dragan Kostić Jim Portegies Tom Oomen CST Dept. of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands Center of Competency ASMPT Beuningen The Netherlands CASA Dept. of Mathematics and Computer Science Eindhoven University of Technology Eindhoven The Netherlands Delft Center for Systems and Control Delft University of Technology Delft The Netherlands

The increasing demands on throughput and accuracy of semiconductor manufacturing equipment necessitates accurate feedforward motion control that includes compensation of input nonlinearities. The aim of this paper is to develop a data-driven feedforward approach consisting of a Wiener feedforward, i.e., linear parameterization with an output nonlinearity, to achieve high tracking accuracy and task flexibility for a class of Hammerstein systems. The developed approach exploits iterative learning control to learn a feedforward signal from data that minimizes the error and utilizes a control-relevant cost function to learn the parameters of a Wiener feedforward parameterization. Experimental validation on a wirebonder shows that the developed approach enables high tracking accuracy and task flexibility.

关键词： Iterative and repetitive learning control Identification and control methods Nonlinear system identification Data-driven control Learning for control

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Computationally efficient predictive control based on ANN state-space models

arXiv

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arXiv 2023年

作者： Hoekstra, Jan H. Cseppento, Bence Beintema, Gerben I. Schoukens, Maarten Kollár, Zsolt Tóth, Roland Dept. of Measurement and Information Systems The Budapest University of Technology and Economics Hungary The Dept. of Electrical Engineering The Eindhoven University of Technology Netherlands Institute for Computer Science and Control Budapest Hungary

Artificial neural networks (ANN) have been shown to be flexible and effective function estimators for identification of nonlinear state-space models. However, if the resulting models are used directly for nonlinear model predictive control (NMPC), the resulting nonlinear optimization problem is often overly complex due the size of the network, requires the use of high-order observers to track the states of the ANN model, and the overall control scheme exploits little of the structural properties or available autograd tools for these models. In this paper, we propose an efficient approach to auto-convert ANN state-space models to linear parameter-varying (LPV) form and solve predictive control problems by successive solutions of linear model predictive problems, corresponding to quadratic programs (QPs). Furthermore, we show how existing ANN identification methods, such as the SUBNET method that uses a state encoder, can provide efficient implementation of MPCs. The performance of the proposed approach is demonstrated via a simulation study on an unbalanced disc system. © 2023, CC BY-SA.

关键词： Neural networks

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Taxonomy of Proactive Detection Methods of Drunk Driving for Enhancing Traffic Safety

Taxonomy of Proactive Detection Methods of Drunk Driving for...

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IEEE International Symposium on Embedded Multicore Socs (MCSoC)

作者： Richard Preston Swiley Razan Alsulieman Ahmed Sherif Mohamed Elsersy Kasem Khalil School of Computing Sciences and Computer Engineering University of Southern Mississippi MS USA Computer and Information Systems Dept. Higher Colleges of Technology AlAin Abu Dhabi UAE Electrical and Computer Engineering Department University of Mississippi MS USA

ISBN: (数字)9798331530471

ISBN: (纸本)9798331530488

Drunk driving continues to be a substantial public health issue, leading to a multitude of accidents and deaths on a global scale. Conventional techniques for identifying drunk driving, such as breathalyzers and field sobriety tests, tend to be reactive rather than proactive. This paper surveys the existing methods for detecting drunk driving to enhance traffic safety. The technologies studied can proactively detect impaired driving behaviors by combining machine learning (ML) approaches with real-time data processing. The study outlines various classifications based on measured metrics and driving behavior.

关键词： Surveys Visualization Technological innovation Accuracy Face recognition Taxonomy Road safety Sensor systems Driver behavior Vehicles

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Privacy-Preserving Machine Learning for E-Health Applications: A Survey

Privacy-Preserving Machine Learning for E-Health Application...

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Computing and Machine Intelligence (ICMI), International Conference on

作者： Jared Romeo Mahmoud Abbass Ahmed Sherif Mohammad M. R. Khan Mamun Mohamed Elsersy Kasem Khalil School of Computing Sciences and Computer Engineering University of Southern Mississippi MS USA Electrical and Computer Engineering Department Tennessee Technological University TN USA Computer and Information Systems Dept. Higher Colleges of Technology AlAin Abu Dhabi UAE Electrical and Computer Engineering Department University of Mississippi MS USA

ISBN: (数字)9798350372977

ISBN: (纸本)9798350372984

As more information about people's health is gath-ered and analyzed, privacy concerns have become increasingly essential. This paper summarizes how machine learning (ML) methods are presently used to safeguard privacy in e-health apps. Furthermore, we discuss how privacy-preserving approaches such as differential privacy, secure multi-party computing, and homomorphic cryptography may be utilized to protect privacy in ML. The study also conducts an overview of the literature on how these methods can be used in various e- health scenarios, such as predictive modeling, disease detection, and clinical decision support. Based on the privacy-preserving technique, we classified current privacy-preserving ML work into four categories (i.e., data encryption, data anonymization, model encryption, and model obfuscation). Finally, the article discusses the challenges of applying privacy-preserving machine learning (PPML) in the e-health domain and what types of research could be conducted as open future problems in this field.

关键词： Surveys Privacy Computational modeling Machine learning Medical services Predictive models Data models

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Enhancement of Near-infrared Light Absorption by Nanoimprinted Light Trapping Structure Implemented into Si Heterojunction Solar Cells 52

Enhancement of Near-infrared Light Absorption by Nanoimprint...

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52nd IEEE Photovoltaic Specialist Conference, PVSC 2024

作者： Kurokawa, Yasuyoshi Iseki, Yoshiko Gotoh, Kazuhiro Miyamoto, Satoru Ozaki, Ryo Nakamura, Kyotaro Ohshita, Yoshio Usami, Noritaka Niigata University Dept. Electrical and Information Engineering Niigata950-2181 Japan Intereisciplinaty Research Center for Carbon-Neutral Technologies Niigata University Niigata950-2181 Japan Toyota Technological Institute Dept. Advanced Science and Technology Nagoya468-8511 Japan Nagoya University Dept. Materials Process Engineering Nagoya464-8603 Japan Institute of Materials and Systems for Sustainability Nagoya University Nagoya464-8601 Japan Institutes of Innovation for Future Society Nagoya University Nagoya464-8601 Japan

ISBN: (纸本)9781665464260

Lightweight and flexible PV modules are required to apply PV to buildings and vehicles. One way to realize lightweight and flexible PV is to make the silicon substrate thinner. However, thinner substrates result in lower near-infrared light absorption. Although light trapping structure (LTS) can increase light absorption, conventional alkali-etched pyramid textures are not specialized for near-infrared light and are insufficient to improve near-infrared light absorption. Therefore, in this study, a honeycomb LTS was implemented into the rear side of Si heterojunction (SHJ) solar cells by a nanoimprinting method, which enables us to prepare submicron-sized LTS on solar cells over a large area. As a result, in the near-infrared range of more than 1000 nm, the reflectance of the sample with honeycomb LTS was reduced compared to that without the LTS. The reflectance at 1050 nm was reduced from 59.2 to 41.5%. The external quantum efficiency (EQE) in the near-infrared range of more than 1000 nm was also increased by the LTS, leading to the improvement of the short-circuit current density (Jsc) by 0.02 mA/cm2 © 2024 IEEE.

关键词： Honeycomb structures

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Study the Effect of Dielectric Permittivity and Changing Substrates Material on Microstrip Patch Antenna 4

Study the Effect of Dielectric Permittivity and Changing Sub...

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4th International Congress on Human-computer Interaction, Optimization and Robotic Applications, HORA 2022

作者： Hassoun, Zainab Abdullah Wali, Musa H. Hussein, Hussein Ali Haroon, Noor Hanoon Alkhayyat, Ahmed Islamic University Dept. of Computer Technical Engineering Najaf Iraq Al-Qadisiyah University Dept. of Electronics and Communication Engineering Al Diwaniyah Iraq Al-Mustansiriyah University Dept. of Electrical Engineering Baghdad Iraq Information and Communication Technology Research Group Scientific Research Center Al-Ayen University Thi-Qar Iraq

ISBN: (纸本)9781665468350

In this paper, three different cases of analysis were investigated. The first case is study the effect of varying the dielectric permittivity on the Microstrip Patch Antenna (MPA). While the second case is to inspect the impact of modifying the thickness of the substrate with the insertion of an air gap between the patch and the substrate. Investigating the effect of changing the type of the conductive material in the third case (copper, aluminum, gold, platinum, and graphene were used). It is found that the bandwidth depends on the substrate type. The use of graphene patch give a relative gain of 15dB. It is also found that the increase in dielectric constant (varepsilon mathrmr) causes the bandwidth downsizing as well as decreasing the gain. Using a wooden substrate increases the antenna bandwidth. Utilizing the air gap, between the patch and the substrate, to enhance electrical insulation. It is found that reducing the air gap caused a noticeable bandwidth reduction. © 2022 IEEE.

关键词： Natural frequencies

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Understanding the Quantum Teleportation Protocol

Understanding the Quantum Teleportation Protocol

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computer Science, computer engineering, & Applied Computing (CSCE), Congress in

作者： Kurt T. Spranger Michael R. Grimaila Douglas D. Hodson Dept. of Systems Engineering and Mgmt. Air Force Institute of Technology Wright-Patterson AFB OH Dept. of Electrical & Computer Engineering Air Force Institute of Technology Wright-Patterson AFB OH

Decomposing a complex system into smaller abstract functional blocks and developing mathematical models to represent their behavior is an important activity towards developing comprehensive system understanding. In this paper, we decompose the ideal Quantum Teleportation protocol into a collection of simple quantum circuit blocks, examine the behavior of each block, and show how collections of blocks operate to create more complex circuits. We believe this approach greatly simplifies the understanding of how the Quantum Teleportation protocol works. This paper is introductory in nature and is intended to help those who are new to modeling, simulating, and analyzing ideal quantum circuits.

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