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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Overvig, Adam C. Kasahara, Y. Alu, Andrea Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States Physics Program Graduate Center of the City University of New York New YorkNY10016 United States

We theoretically propose and experimentally demonstrate nonlocal metasurfaces rationally designed using symmetry-breaking principles to manipulate the optical wavefront with a geometric phase selective to custom ellip...

ISBN: (纸本)9781957171258

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TreeXGNN: can gradient-boosted decision trees help boost heterogeneous graph neural networks?

TreeXGNN: can gradient-boosted decision trees help boost het...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Ming-Yi Hong Shih-Yen Chang Hao-Wei Hsu Yi-Hsiang Huang Chih-Yu Wang Che Lin Graduate Program of Data Science National Taiwan University and Academia Sinica Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan Department of Electrical Engineering National Taiwan University Taiwan

Graph neural networks are a promising deep learning method that can apply graph structures to various tasks. In real-world scenarios, we often have heterogeneous graphs, wherein different node and edge types capture complex interactions between nodes. High-dimensional node features provide rich information about the target nodes. Conventional heterogeneous graph neural networks (HGNN) focus more on graph structures than node features and may have difficulties extracting knowledge from complex node features. In this study, we propose a novel framework, the tree-boosted heterogeneous graph neural network abbreviated as TreeXGNN, which could efficiently and automatically extract target node features via gradient-boosted decision trees (GBDT). It integrates community structure information with proper fusion modules and a shared feature space design on HGNN. We achieved state-of-the-art performance on the three well-known heterogeneous graph benchmark datasets, IMDB, DBLP, and ACM, and significantly improved performance compared to previous studies. Our work paves the foundation for integrating tree-based models to boost HGNNs for general community analysis.

关键词： Training Knowledge engineering Deep learning Signal processing Feature extraction Graph neural networks Decision trees

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Synaptic Device for Neuromorphic Systems Integrating Ferroelectric-Gate Field Effect Transistor and Capacitor 31

Synaptic Device for Neuromorphic Systems Integrating Ferroel...

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31st International Workshop on Active-Matrix Flatpanel Displays and Devices: TFT Technologies and FPD Materials, AM-FPD 2024

作者： Sawai, Kazuki Hirano, Taiga Matsuda, Tokiyoshi Kawanishi, Hidenori Miyasako, Takaaki Koh, Sanggyu Hosokura, Tadasu Kimura, Mutsumi Graduate School of Advanced Science and Technology Ryukoku University Seta Shiga Otsu520-2194 Japan Department of Electrical and Electronic Communication Engineering Kindai University Kowakae Higasliiosaka Osaka577-8502 Japan Innovative Materials and Processing Research Center Ryukoku University Seta Shiga Otsu520-2194 Japan Graduate School of Science and Technology Nara Institute of Science and Technology Takayama Ikoma630-0192 Japan Murata Manufacturing Co. Ltd. Nagaokakyo Kyoto617-8555 Japan

ISBN: (纸本)9784991216961

We have proposed a synaptic device for neuromorphic systems that integrates a Ferroelectric-gate Field-Effect Transistor (FeFET) and a capacitor. In this study, spike pulses were applied to this synaptic device to confirm its operation. The results showed that the membrane potential increased while the pulses were applied and was maintained while the pulses were not applied, and that this series of operations could be repeated. In addition, it was confirmed that signal transmission with different synaptic strengths can be achieved by controlling the polarization of the FeFET. Therefore, we believe that the proposed device integrating a FeFET and a capacitor can be used as a synapse in neural networks. © 2024 FTFMD.

关键词： Ferroelectricity

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Ambient conditions to reproduce gamma-ray glow energy spectra assuming cosmic ray as source 38

Ambient conditions to reproduce gamma-ray glow energy spectr...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Diniz, Gabriel Sousa Wada, Yuuki Ohira, Yutaka Nakazawa, Kazuhiro Tsurumi, Miwa Enoto, Teruaki Department of Physics Graduate School of Science Kyoto University Kitashirakawa Oiwake-cho Sakyo-ku Kyoto-shi Kyoto606-8502 Japan Division of Electrical Electronic and Infocommunications Engineering Graduate School of Engineering Osaka University 2-1 Yamadaoka Suita Osaka565-0871 Japan Department of Earth and Planetary Environmental Science The University of Tokyo 7 Chome-3-1 Hongo Bunkyo City Tokyo113-8654 Japan Kobayashi-Maskawa Institute for the Origin of Particles and the Universe Nagoya University Furo-cho Chikusa-ku Aichi Nagoya464-8601 Japan Graduate School of Science and Engineering Aoyama Gakuin University 5-10-1 Fuchinobe Kanagawa Sagamihara252-5258 Japan Extreme Natural Phenomena RIKEN Hakubi Research Team RIKEN Cluster for Pioneering Research 2-1 Hirosawa Saitama Wako351-0198 Japan

The electric field of thunderclouds modifies components and energy spectra of the cosmic-ray air shower resulting in an enhancement of gamma-ray fluxes on the ground, known as a gamma-ray glow. The Gamma-Ray Observation of Winter THunderclouds (GROWTH) collaboration has measured this phenomenon for several years in the Hokuriku area of Japan. The present work examines the ambient conditions required to produce spectral features of the previously detected gamma-ray glows. We use Monte Carlo simulations of particle interactions in the atmosphere with the cosmic-ray electron spectrum as input from the EXcel-based program for calculating Atmospheric Cosmic-ray Spectrum (EXPACS). We focus on three parameters, the strength and length of the electric field and the size of a null-field attenuation region below the electrified region. The average spectrum of observed gamma-ray glows in winter thunderstorms of Japan requires an electric field intensity close to the Relativistic Runaway Electron Avalanche (RREA) threshold of 0.284 MV/m. The vertical size of the electric field region should be in the range of 0.5—1 km. The estimated attenuation region size is 300–500 m, necessary to reduce the low-energy photon flux of the average gamma-ray glows. The whole space of phase capable of generating the gamma-ray glow spectra uses only cosmic-ray electron shower as input. Thus, the interaction between cosmic-ray and the thundercloud is capable of producing the signal detected at the ground. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Particle interactions

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NOMAD: nonlinear manifold decoders for operator learning 22

NOMAD: nonlinear manifold decoders for operator learning

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Proceedings of the 36th International Conference on Neural Information Processing Systems

作者： Jacob H. Seidman Georgios Kissas Paris Perdikaris George J. Pappas Graduate Program in Applied Mathematics and Computational Science University of Pennsylvania Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Department of Electrical and Systems Engineering University of Pennsylvania

ISBN: (纸本)9781713871088

Supervised learning in function spaces is an emerging area of machine learning research with applications to the prediction of complex physical systems such as fluid flows, solid mechanics, and climate modeling. By directly learning maps (operators) between infinite dimensional function spaces, these models are able to learn discretization invariant representations of target functions. A common approach is to represent such target functions as linear combinations of basis elements learned from data. However, there are simple scenarios where, even though the target functions form a low dimensional submanifold, a very large number of basis elements is needed for an accurate linear representation. Here we present NOMAD, a novel operator learning framework with a nonlinear decoder map capable of learning finite dimensional representations of nonlinear submanifolds in function spaces. We show this method is able to accurately learn low dimensional representations of solution manifolds to partial differential equations while outperforming linear models of larger size. Additionally, we compare to state-of-the-art operator learning methods on a complex fluid dynamics benchmark and achieve competitive performance with a significantly smaller model size and training cost.

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Intelligent Omni-Surfaces (IOSs) For Full-dimensional Wireless Coverage Extension: IOS Orientation and Location Optimization

Intelligent Omni-Surfaces (IOSs) For Full-dimensional Wirele...

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IEEE International Conference on Communications in China (ICCC)

作者： Menghan Li Shuhao Zeng Hongliang Zhang Boya Di Xi Weng Lingyang Song School of Electronics Engineering and Computer Science Peking University Beijing China School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen China Department of Electrical and Computer Engineering Princeton University NJ USA School of Electronics Peking University Beijing China Guanghua School of Management Peking University Beijing China

ISBN: (数字)9798350378412

ISBN: (纸本)9798350378429

The intelligent omni-surface (IOS), a type of metasurface which can simultaneously reflect and refract incident signals, is a promising technology for full-dimensional cell coverage extension. Existing works only explore the IOS configuration optimization for coverage extension given the IOS location, while how to deploy the IOS to maximize the cell coverage has not been investigated. In this paper, we aim to maximize the coverage of an IOS-assisted network by optimizing the deployment of the IOS. The placement optimization for metasurfaces in existing works mainly focuses on the reflective metasurface, which can not be applied here directly since the reflection and refraction of the IOS are coupled. To cope with this problem, we consider a downlink IOS-assisted multiple-input-single-output (MISO) system. The cell coverage of the IOS-assisted system is first analyzed, based on which we formulate a coverage maximization problem and solve it by jointly optimizing the IOS orientation and relative position between the IOS and the BS based on the projected gradient descent method. Numerical results verify the effectiveness of the proposed algorithm.

关键词： Wireless communication Simulation MISO communication Directive antennas Metasurfaces Downlink Reflector antennas

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An overview on the principle of inkjet printing technique and its application in micro-display for augmented/virtual realities

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Opto-electronic Advances 2022年第6期5卷 20-43页

作者： Xiao Yang Yue Lin Tingzhu Wu Zijun Yan Zhong Chen Hao-Chung Kuo Rong Zhang Department of Electronic Science Fujian Engineering Research Center for Solid-State LightingXiamen UniversityXiamen 361005China Institute of Future Display Technology Xiamen UniversityXiamen 361005China Department of Photonics&Graduate Institute of Electro-Optical Engineering College of Electrical and Computer EngineeringChiao Tung UniversityHsinchu 30010TaiwanChina.

Augmented reality(AR)and virtual reality(VR)are two novel display technologies that are under *** essential feature of AR/VR is the full-color display that requires high pixel *** generate three-color pixels,the fluorescent color conversion layer inevitably includes green and red *** fabricate such sort of display kits,inkjet printing is a promising way to position the color conversion *** this review article,the progress of AR/VR technologies is first reviewed,and in succession,the state of the art of inkjet printing,as well as two key issues-the optimization of ink and the reduction of coffee-ring effects,are ***,some potential problems associated with the color converting layer are highlighted.

关键词： micro-LED quantum dots augmented reality virtual reality inkjet printing

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A Study on Giant Magnetostrictive Actuator for Interior Sound Control System of the Ultra-Compact Mobility: Fundamental Consideration on Formation of the Giant Magnetostrictive Phases Depending on Heat Treatment Condition

A Study on Giant Magnetostrictive Actuator for Interior Soun...

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International Conference on electrical Machines and Systems (ICEMS)

作者： Taro Kato Ryusei Naganuma Koki Bando Kentaro Sawada Wu Wenbao Ikkei Kobayashi Jumpei Kuroda Daigo Uchino Kazuki Ogawa Keigo Ikeda Ayato Endo Hideaki Kato Takayoshi Narita Mitusaki Furui Department of Mechanical Engineering Tokyo University of Technology Hachioji-shi Tokyo Japan Sustainable Engineering Program Graduate School of Engineering Tokyo University of Technology Hachioji-shi Tokyo Japan Course of Mechanical Engineering Tokai University Hiratsuka-shi Kanagawa Japan Course of Science and Technology Tokai University Hiratsuka-shi Kanagawa Japan Department of Mechanical Engineering National Institute of Technology (KOSEN) Numazu College Numazu-shi Shizuoka Japan Department of Electronic Robotics Aichi University of Technology Gamagori-shi Aichi Japan Department of Mechanical Engineering Hokkaido University of Science Sapporo Hokkaido Japan Department of Electrical Engineering Fukuoka Institute of Technology Fukuoka-shi Fukuoka Japan Department of Mechanical System Engineering Tokai University Hiratsuka-shi Kanagawa Japan

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

An active noise control system using giant magnetostrictive actuator has been proposed as a countermeasure for interior noise of the ultra-compact mobilities, which is a new transportation tools. In this paper, as basic research toward the development of the proposed giant magnetostrictive actuator for active noise control, we conduct experiments on the material properties when terbium, dysprosium, and iron powder, which make up the giant magnetostrictive material, are mixed and the heat treatment conditions are changed. In this study, the heat treatment temperature was varied from $800^{\circ}\mathrm{C}$ to $1100^{\circ}\mathrm{C}$ in $100^{\circ}\mathrm{C}$ incrementsbased on the equilibrium state temperature of each material, and the heat treatment time was set in 30-minute increments from 1 hour to 3 hours. As a result, TbFe2 was confirmed after heat treatment at an electric furnace temperature of $1000^{\circ}\mathrm{C}$ for 3 hours, although its strength was insufficient.

关键词： Actuators Heat treatment Powders Temperature Magnetostriction Noise Terbium Iron Resistance heating Material properties

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Optical IRS for Visible Light Communication: Modeling, Design, and Open Issues

arXiv

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arXiv 2024年

作者： Sun, Shiyuan Yang, Fang Mei, Weidong Song, Jian Han, Zhu Zhang, Rui The Department of Electronic Engineering Tsinghua University Beijing100084 China The National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China Chengdu611731 China The Shenzhen International Graduate School Tsinghua University Shenzhen518055 China The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen518172 China The Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore

Optical intelligent reflecting surface (OIRS) offers a new and effective approach to resolving the line-of-sight blockage issue in visible light communication (VLC) by enabling redirection of light to bypass obstacles, thereby dramatically enhancing indoor VLC coverage and reliability. This article provides a comprehensive overview of OIRS for VLC, including channel modeling, design techniques, and open issues. First, we present the characteristics of OIRS-reflected channels and introduce two practical models, namely, optics model and association model, which are then compared in terms of applicable conditions, configuration methods, and channel parameters. Next, under the more practically appealing association model, we discuss the main design techniques for OIRS-aided VLC systems, including beam alignment, channel estimation, and OIRS reflection optimization. Finally, open issues are identified to stimulate future research in this area. Copyright © 2024, The Authors. All rights reserved.

关键词： Visible light communication

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On Reliability Assessment of a Battery Energy Storage Systems Supporting PV Plants

On Reliability Assessment of a Battery Energy Storage System...

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IEEE Annual Southern Power electronics Conference (SPEC)

作者： William Caires Silva Amorim Allan Fagner Cupertino Victor Flores Mendes Renata Oliveira De Sousa Rodrigo Cássio De Barros Heverton Augusto Pereira Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte Brazil Department of Electrical Energy Federal University of Juz de Fora Juiz de Fora Brazil Department of Electrical Engineering Federal University of Minas Gerais Belo Horizonte Brazil Department of Electronics Federal University of Tech. - Paraná Curitiba Brazil Department of Electrical Engineering Federal University of Recôncavo da Bahia Cruz das Almas Brazil Department of Electrical Engineering Federal University of Viçosa Viçosa Brazil

Battery energy storage system (BESS) has been highlighted for its possibilities of performing ancillary services to the power system, such as voltage and frequency regulation, power quality, power smoothing, and peak shaving, among others. The BESS is very promising especially associated with renewable energies, such as photovoltaic (PV) and wind. Among some of these ancillary services, this work evaluates the battery lifetime and reliability. The proposed methodology includes the combined analysis of rainflow counting algorithm, Monte Carlo simulation, and nonlinear damage accumulation rule for battery reliability assessment. Monte Carlo simulation is used to approximate the battery reliability estimation of practical applications, by considering stochastic variations in the battery lifetime model. The case study is based on a 100 $\textbf{kW}$ PV system, assessed using a one-year mission profile of solar irradiance and ambient temperature from Goiânla-Brazll associated with a mission profile of 100 $\textbf{kW}$ industrial load. The PV plant is connected to a 440 V grid associated with a BESS that mitigates oscillations of 10% of PV nominal power per minute. The peak shaving service presented a decrease in the battery lifetime by approximately 11 % in relation to the deterministic battery lifetime analysis. On the other hand, the peak shaving presented a decrease in the battery lifetime by approximately 17.4 %. In addition, the pack-level analysis revealed a maximum reduction in the battery lifetime by approximately 30%, when compared to the conventional deterministic battery reliability estimation procedure.

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