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Microwave, MTT-S International Symposium

作者： Qihang Zeng Xi Tian Dat T. Nguyen Xin Yang Patrick Chia Changsheng Wu John S. Ho Department of Electrical and Computer Engineering National University of Singapore Singapore SIA-NUS Digital Aviation Corporate Laboratory National University of Singapore Singapore Integrative Sciences & Engineering NUS Graduate School National University of Singapore Singapore Department of Materials Science and Engineering National University of Singapore Singapore

Continuous in-vehicle physiological monitoring can improve safety through early detection of driver fatigue and drowsiness. However, developing a system capable of effective and robust physiological monitoring in practical driving scenarios is challenging due to the noisy vehicular environment in which the sensor is exposed to engine vibrations, unpredictable road conditions and random body motions. In this work, we introduce a seatbelt-integrated metamaterial sensor for unobtrusive and continuous in-vehicle respiration and heartbeat monitoring. The metamaterial sensor is fabricated by digital embroidery of conductive threads and can continuously monitor respiration and heartbeat in a contactless manner. Our sensor supports confined microwave surface waves that are modulated by subtle local physiological motions, which are sensitively transduced into changes in the phase of the transmitted signal. We developed an algorithm based on variational mode decomposition (VMD) for noise-robust extraction of respiration and heart rate. We experimentally demonstrate the embroidered metamaterial in real-life driving scenarios and show accurate heartbeat detection with a median inter-beat interval (IBI) detection error of 23.5 ms during driving. Our results highlight the potential of embroidered metamaterial sensors in driver physiological monitoring applications, especially for the unobtrusive detection of fatigue and drowsiness.

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Strong Interlayer Interaction for engineering Two-Dimensional Materials

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Accounts of Materials Research 2022年第12期3卷 1220-1231页

作者： Zheng Bian Jialei Miao Yuda Zhao Yang Chai School of Micro-Nano Electronics ZJUHangzhou Global Scientific and Technological Innovation CentreZhejiang UniversityHangzhou 310027China Department of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China Key Laboratory of Optoelectronic Chemical Materials and Devices of Ministry of Education Jianghan UniversityWuhan 430056China Department of Applied Physics The Hong Kong Polytechnic UniversityHong Kong 999077China

CONSPECTUS:Two-dimensional(2D)layered materials have atomically thin thickness and outstanding physical properties,attracting intensive research in past *** realize the applications in(opto)electronic devices,the strategies to engineer the properties of 2D materials have been widely explored,including defect engineering,in-plane strain engineering,surface modification,*** the in-plane bonding,the out-of-plane interlayer interaction is another unique degree of freedom to engineer the properties of 2D *** from the well-accepted weak van der Waals interactions,some recently discovered 2D material systems display strong interlayer interaction with“covalent-like quasi-bonding”.

关键词： plane bonding interlayer

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Large Spin-Orbit-Torque Efficiency and Room-Temperature Magnetization Switching in SrIrO3/Co-Fe-B Heterostructures

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Physical Review Applied 2023年第2期19卷 024076-024076页

作者： Peng Li Sanyum Channa Xiang Li Laith Alahmed Chunli Tang Di Yi Lauren Riddiford Jacob Wisser Purnima P. Balakrishnan Xin Yu Zheng Di Lu Arturas Vailionis Shan X. Wang Yuri Suzuki Geballe Laboratory for Advanced Materials Stanford University Stanford California 94305 USA Department of Physics Stanford University Stanford California 94305 USA Department of Electrical Engineering Stanford University Stanford California 94305 USA Department of Electrical and Computer Engineering Auburn University Auburn AL 36849 USA Department of Applied Physics Stanford University Stanford California 94305 USA School of Microelectronics University of Science and Technology of China Hefei 230052 China Stanford Nano Shared Facilities Stanford University Stanford California 94305 USA Department of Physics Kaunas University of Technology Kaunas Lithuania

Spin-orbit-torque (SOT) switching is a potentially energy-efficient mechanism by which electrical current can control magnetization. We demonstrate room-temperature SOT switching in nanometer-thick CoFeB/SrIrO3 bilayers despite the amorphous nature of CoFeB and the interface. This behavior is attributed to the large spin Hall angle in SrIrO3 as well as high spin transmission at the interface that contribute to the SOT efficiency ξSOT. Our bilayers exhibit large ξSOT of up to 1.4 and effective spin Hall conductivity of 0.9×105 (ℏ/2e)Ω−1m−1. In our bilayers, we observe unidirectional magnetoresistance and current-induced magnetization switching with a low critical current density of 1.38×1010A/m2 at room temperature. Our results are promising for heterostructures combining technologically relevant CoFeB with high spin-orbit-coupling oxides.

关键词： Magnetization switching Magnetoresistance Spin current Spin-orbit torque Devices for digital logic, storage & processing Ferromagnets Magnetic multilayers Transition metal oxides

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Measurement of paracetamol concentration using a fiber laser system

Measurement of paracetamol concentration using a fiber laser...

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Bioengineering (ENBENG), Portuguese Meeting in

作者： Liliana Soares Rosa Ana Perez-Herrera Susana Novais António Ferreira Orlando Frazão Susana Silva Faculty of Engineering INESC TEC - Institute for Systems and Computer Engineering Technology and Science University of Porto Porto Portugal Department of Electrical Electronic and Communication Engineering Public Univ. of Navarra ISC - Institute of Smart Cities Public Univ. of Navarra Pamplona Spain INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal LEPABE-Laboratory for Process Engineering Environment Biotechnology and Energy University of Porto Porto Portugal ALiCE - Associate Laboratory in Chemical Engineering University of Porto Porto Portugal

A linear fiber laser system for measurements of paracetamol concentration is experimentally demonstrated. The cavity is based on a fiber loop mirror and an FBG centered at 1567.8 nm. The sensing head corresponds to a refractometric sensor, whose which principle of operation is based on Fresnel reflection in the fiber tip (FBG side). The system works at detected variations of paracetamol concentrations with a sensitivity of $[(8.74\pm 0.34)\times 10^{-5}]\ \ \mu \mathrm{W}/(\mathrm{g}/\text{kg})$ and a resolution of 2.77 g/kg. The results prove that the fiber laser system could be an asset for processing industries, specifically for non-invasive and real-time measurements of concentration.

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Virtual histological staining of label-free autopsy tissue sections via deep learning

Virtual histological staining of label-free autopsy tissue s...

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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Li, Yuzhu Pillar, Nir Li, Jingxi Liu, Tairan Wu, Di Sun, Songyu Ma, Guangdong de Haan, Kevin Huang, Luzhe Zhang, Yijie Hamidi, Sepehr Urisman, Anatoly Haran, Tal Keidar Wallace, William Dean Zuckerman, Jonathan E. Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States Computer Science Department University of California Los AngelesCA90095 United States School of Physics Xi an Jiaotong University Shaanxi Xi'an710049 China Department of Pathology and Laboratory Medicine David Geffen School of Medicine University of California Los AngelesCA90095 United States Department of Pathology University of California San FranciscoCA94143 United States Department of Pathology Hadassah Hebrew University Medical Center Jerusalem91120 Israel Department of Pathology Keck School of Medicine University of Southern California Los AngelesCA90033 United States Department of Surgery University of California Los AngelesCA90095 United States

We present deep learning-based virtual staining of label-free autopsy tissue sections, eliminating severe autolysis-induced artifacts caused by delayed fixation inherent in traditional histochemical H&E staining. ...

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Review of Different Current Control Strategies for Thyristor-Controlled LC-Coupling Hybrid Active Power Filter

Review of Different Current Control Strategies for Thyristor...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Wai-Kit Sou Pak-Ian Chan Cheng Gong Chi-Seng Lam State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau Macao China Institute of Microelectronics University of Macau Macao China Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macao China

With the characteristics of low DC-link voltage and wide operating range, thyristor-controlled LC-coupling hybrid active power filter (TCLC-HAPF) is a promising power quality compensator in the medium-voltage-level power system. This paper reviews the design and implementation of different current control strategies for the TCLC-HAPF, which are hysteresis current control (HCC), multi-quasi-proportional-resonant control (MQPRC), $H_{\infty}$ optimal control (HOC), finite-set model predictive control (FS-MPC), second-order sliding mode control (SOSMC) and deadbeat current control (DBCC). Also, their pros and cons are fully discussed. In order to provide a deeper understanding about the steady-state and transient performances of these control strategies, the simulation study is presented under both inductive and capacitive loads.

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Bidirectional Search Strategy for Incremental Search-based Path Planning

Bidirectional Search Strategy for Incremental Search-based P...

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

作者： Chenming Li Han Ma Jiankun Wang Max Q.-H. Meng Department of Electronic Engineering The Chinese University of Hong Kong Shatin N.T. Hong Kong SAR China Department of Electronic and Electrical Engineering Shenzhen Key Laboratory of Robotics Perception and Intelligence Southern University of Science and Technology Shenzhen China Jiaxing Research Institute Southern University of Science and Technology Jiaxing China Department of Electronic and Electrical Engineering Shenzhen Key Laboratory of Robotics Per-ception and Intelligence Southern University of Science and Technology Shenzhen China Emeritus in the Department of Electronic Engineering The Chinese University of Hong Kong in Hong Kong Department of Electrical and Computer Engineering University of Alberta in Canada

Planning a collision-free path efficiently among obstacles is crucial in robotics. Conventional one-shot unidirectional path planning algorithms work well in the static environment, but cannot respond to the environment changes timely in the dynamic environment. To tackle this issue and improve the search efficiency, we propose a bidirectional incremental search method, Bidirectional Lifelong Planning A* (BLPA*), which searches in the forward and backward directions and performs incremental search bidirectionally when the environment changes. Furthermore, inspired by the robot perception range limitation and BLPA*, we propose the fractional bidirectional D* Lite (fBD* Lite(d p )), which constraints the forward search to the robot perception range and uses the backward search to expand the rest area. Our simulation results demonstrate BLPA* and mD* Lite(d p ) can achieve superior performance in the dynamic environment. It reveals that the bidirectional incremental search strategy can be a general and efficient technique for graph-search-based robot path planning methods.

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Metasurfaces That Enable Bottle-Beam Arrays for Neutral Atom Trapping

Metasurfaces That Enable Bottle-Beam Arrays for Neutral Atom...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Chengyu Fang Minjeong Kim David A. Czaplewski Hongyan Mei Sanket Deshpande Zhaoning Yu Yuzhe Xiao Xuting Yang Alan M. Dibos Mark Saffman Jennifer T. Choy Mikhail A. Kats Department of Electrical and Computer Engineering University of Wisconsin-Madison Madison WI USA Center for Nanoscale Materials Argonne National Laboratory Lemont IL USA Department of Physics University of Wisconsin-Madison Madison WI USA Department of Physics University of North Texas Denton TX USA Department of Material Science and Engineering University of Wisconsin-Madison Madison WI USA

We report optical metasurfaces that enable bottle-beam arrays for blue-detuned trapping of neutral atoms. Our approach only requires a single metasurface which significantly reduces the complexity of the trapping expe... 详细信息

ISBN: (纸本)9798350369311

关键词： Atom lasers Optical metamaterials Atoms Lasers and electrooptics Metasurfaces Complexity theory Electro-optical waveguides Optical arrays

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Federated Learning Over the Industrial Internet of Things: A Joint Optimization of Edge Association and Resource Allocation

TechRxiv

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TechRxiv 2022年

作者： Zhang, Long Wu, Suiyuan Xu, Haitao Liu, Qilie Hong, Choong Seon Han, Zhu The School of Information and Electrical Engineering Hebei University of Engineering Handan056038 China The Chongqing Key Laboratory of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing400065 China The School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The Department of Computer Science and Engineering Kyung Hee University Gyeonggi-do Yongin-si17104 Korea Republic of The Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of

Combination of the industrial Internet of Things (IIoT) and federated learning (FL) is deemed as a promising solution to realizing Industry 4.0 and beyond. In this paper, we focus on a hierarchical collaborative FL architecture over the IIoT systems, where the three-layer architectural design is conceived for supporting the training process. To effectively balance among the learning speed, energy consumption, and packet error rate for edge aggregation with regard to the participating IIoT devices, a weighted learning utility function is developed from the perspective of the fusing multiple performance metrics. An optimization problem is formulated to maximize the weighted learning utility by jointly optimizing the edge association as well as the allocations of resource block (RB), computation capacity, and transmit power of each IIoT device, under the practical constraints of the FL training process. The resulting problem is a non-convex and mixed integer optimization problem, and consequently it is difficult to solve. By resorting to the block coordinate descent method, we propose an overall alternating optimization algorithm to solve this problem in an iterative way. Specifically, in each iteration, for given transmit power and computation capacity, the sub-problem of joint RB assignment and edge association is transformed to a three-uniform weighted hypergraph model, which is solved by the local search-based three-dimensional hypergraph matching algorithm. Second, given RB assignment, edge association, and computation capacity, we employ the successive convex approximation method to tackle the sub-problem for optimizing the transmit power by turning it into a convex approximation problem. After the proposed alternating optimization algorithm converges to a tolerance threshold, a locally optimal solution of the original problem can be found. Numerical results reveal that our proposed joint optimization scheme can increase the system-wide learning utility and achie

关键词： Resource allocation

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Nanoceramic Particle Reinforced High Alloying Al-Zn-Mg-Cu Composites

SSRN

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SSRN 2024年

作者： Cong, HaiLong Zhang, Zhen Cheng, ZeFan Li, HaiChao Wang, Pei Sun, WanTing School of Materials Engineering Shanghai University of Engineering Science Shanghai201620 China Henan Key Laboratory of High Performance Carbon Fiber Reinforced Composites Institute of Carbon Matrix Composites Henan Academy of Sciences Zhengzhou450046 China Department of Electrical and Computer Engineering University of Nebraska LincolnNE68588 United States

In this study, hot pressing was applied to fabricate high alloying Al-Zn-Mg-Cu composites with excellent properties reinforced with two types of nanoceramic particles, including SiC and Al2O3. With the combination of hot extrusion and T6 heat treatment, the influences of nanoceramic particle addition on the microstructural evolution and mechanical properties of the high alloying Al-Zn-Mg-Cu alloy were systematically investigated. The experimental results demonstrated that the Mg atoms in theα-Al matrix were consumed by the addition of SiC/Al2O3 nano-ceramic particles, and thereby the grain size primary η' (MgZn2) strengthening phase was refined, leading to an enhanced overall mechanical performance of the Al-Zn-Mg-Cu composite. In particular, the Mg2Si phase was generated by the addition of SiC nanoceramic particles, through the interfacial reactions, and thus with the synergistic effects of precipitation strengthening and Orowan strengthening, the ultimate compression strength and elongation of Al-Zn-Mg-Cu composite can be increased to 844 MPa and 27.5%, respectively. On the other hand, the addition of Al2O3 nanoceramic particles can bring about the formation of an oxygen-rich phase and refined precipitates at grain boundaries. Accordingly, the elongation is increased to 43.5% while a high ultimate compressive strength in the composites can be maintained. It is anticipated that nanoceramic particle-reinforced Al-based metal composites have significant potential for achieving both high strength and exceptional ductility for the application in the industry field. © 2024, The Authors. All rights reserved.

关键词： Binary alloys

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