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24th IEEE International Conference on High Performance computing and Communications, 8th IEEE International Conference on Data science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Wang, Zhiwei Liu, Kevin Wang, Jeffrey Xu, Jingye Chen, Jingjing Jin, Yufang Slavin, Rocky The University of Texas Department of Electrical and Computer Engineering San Antonio United States The Research Computing Support Group of the University Technology Solutions The University of Texas San Antonio United States University of Western Ontario Department of Computer Science Canada Keystone School San Antonio United States The University of Texas Department of Computer Science San Antonio United States

ISBN: (纸本)9798350319934

Power wheelchairs (PWC) are essential for people with mobility impairment, and many research studies have been reported to ease their operations. However, the existing approaches either rely on extra hardware components or demand complex software that incurs high costs. In this work, we propose a low-cost, computer-vision-based assistive driving system that runs on a smartphone with the objective of safely driving a PWC in a hands-free manner with reduced attention in an indoor environment to relieve the arduous operations of disabled users and reduce their stress. The system adopts a modified and pre-trained ResNet-50 model running on a smartphone to derive the driving instructions using the images captured in real-time with its built-in camera. The smartphone interacts with a control interface to send the driving instructions to the PWC. A prototype of the proposed driving assistive system is implemented on a Pixel-6 Android phone and evaluated on a mobile robot as the proof-of-concept design. The experiments show that the smartphone can process input at up to 3.4 images per second to generate driving instructions in time to safely navigate the mobile robot at reasonable speeds in the testing environment with minimal intervention from the user. © 2022 IEEE.

关键词： Smartphones

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Correction: Materials laboratories of the future for alloys, amorphous, and composite materials (MRS Bulletin, (2025), 50, 2, (190-207), 10.1557/s43577-024-00846-y)

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MRS Bulletin 2025年 1-2页

作者： Banerjee, Sarbajit Meng, Y. Shirley Minor, Andrew M. Zhang, Minghao Zaluzec, Nestor J. Chan, Maria K.Y. Seidler, Gerald McComb, David W. Agar, Joshua Mukherjee, Partha P. Melot, Brent Chapman, Karena Guiton, Beth S. Klie, Robert F. McCue, Ian D. Voyles, Paul M. Robertson, Ian Li, Ling Chi, Miaofang Destino, Joel F. Devaraj, Arun Marquis, Emmanuelle A. Segre, Carlo U. Liu, Huinan H. Yang, Judith C. Momeni, Kasra Misra, Amit Abdolrahim, Niaz Medvedeva, Julia E. Cai, Wenjun Sehirlioglu, Alp Dizbay-Onat, Melike Mehta, Apurva Graham-Brady, Lori Maruyama, Benji Rajan, Krishna Warner, Jamie H. Taheri, Mitra L. Kalinin, Sergei V. Reeja-Jayan, B. Schwarz, Udo D. Simon, Sindee L. Brown, Craig M. Department of Chemistry and Department of Materials Science & Engineering Texas A & M University College Station United States Pritzker School of Molecular Engineering The University of Chicago Chicago United States Department of Materials Science & Engineering University of California Berkeley Berkeley United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory Berkeley United States Center for Nanoscale Materials Argonne National Laboratory Lemont United States Department of Physics University of Washington Seattle United States Department of Materials Science & Engineering The Ohio State University Columbus United States Department of Mechanical Engineering and Mechanics Drexel University Philadelphia United States School of Mechanical Engineering Purdue University West Lafayette United States Department of Chemistry University of Southern California Los Angeles United States Department of Chemistry Stony Brook University The State University of New York Stony Brook United States Department of Chemistry University of Kentucky Lexington United States Department of Physics University of Illinois at Chicago Chicago United States Department of Materials Science & Engineering Northwestern University Evanston Bangladesh Department of Materials Science & Engineering University of Wisconsin–Madison Madison United States Department of Materials Science and Engineering University of Pennsylvania Philadelphia United States Department of Mechanical Engineering and Materials Science Duke University Durham United States Department of Chemistry Creighton University Omaha United States Physical and Computational Sciences Directorate Pacific Northwest National Laboratory Richland United States Department of Materials Science & Engineering University of Michigan–Ann Arbor Ann Arbor United States Department of Physics Illinois Institute of Technology Chicago United States Department of Bioengineering and the Mater

This article was updated to correct Minghao Zhang’s affiliation from "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA" to "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA;Argonne National laboratory, Lemont, USA." Argonne National laboratory was left off the original publication. © The Author(s) 2025.

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Design and Simulation of Nano Scale Plasmonic Temperature Sensor using Ethanol-Filled Rectangular Cavity Equipped with Polygonal Patches

Design and Simulation of Nano Scale Plasmonic Temperature Se...

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2021 Asia Communications and Photonics Conference, ACP 2021

作者： Moeinimaleki, Babak Kaatuzian, Hassan Livani, Abdolber Mallah Photonics Research Laboratory Electrical Engineering Department Amirkabir University of Technology Tehran Iran Electrical and Computer Engineering Department University of Science and Technology of Mazandaran Behshahr Iran

This paper proposes design of a nano scale plasmonic waveguide temperature sensor coupled with a cavity containing ethanol. Our 2D-FDTD simulations demonstrate considerable improvement for thermal sensitivity up to 0.... 详细信息

ISBN: (纸本)9781957171005

关键词： Ethanol

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Low-loss, nonvolatile tuning of Bragg structures with Sb2Se3

Low-loss, nonvolatile tuning of Bragg structures with Sb2Se3

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Nobile, Nicholas A. Lian, Chuanyu Sun, Hongyi Huang, Yi-Siou Mills, Brian Popescu, Cosmin Constantin Callahan, Dennis Hu, Juejun Ríos Ocampo, Carlos A. Youngblood, Nathan Electrical & Computer Engineering Department University of Pittsburgh PittsburghPA15213 United States Department of Materials Science & Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Materials Science & Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Draper Scholar Program The Charles Stark Draper Laboratory Inc CambridgeMA02139 United States The Charles Stark Draper Laboratory Inc CambridgeMA02139 United States

Sb2Se3 is used to switch between broadband transparency and enhanced index contrast in two device types leveraging Bragg gratings for tunable stop- and pass-band functionalities. Experimental results highlight fabrica... 详细信息

ISBN: (纸本)9781957171395

关键词： Fabry-Perot interferometers

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OblivTime: Oblivious and Efficient Interval Skyline Query Processing Over Encrypted Time-Series Data

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IEEE Transactions on Services computing 2025年

作者： Ouyang, Huajie Zheng, Yifeng Wang, Songlei Hua, Zhongyun Harbin Institute of Technology School of Computer Science and Technology Guangdong Shenzhen518055 China The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Hong Kong Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518055 China

Time-series data is prevalent in many applications like smart homes, smart grids, and healthcare. And it is now increasingly common to store and query time-series data in the cloud. Despite the benefits, data privacy concerns in such outsourced services are pressing, making it imperative to embed privacy assurance mechanisms from the outset. Most existing related works have been focused on querying for different types of aggregate statistics. In this paper, we instead focus on the secure support for advanced interval skyline queries, which allow to identify time series that are not dominated by any other time series within a query time interval. This is valuable for time-series data analytics in applications like remote health monitoring (e.g., identifying patients with high heart rates in a certain week). We present OblivTime, a new system framework for oblivious and efficient interval skyline query processing over encrypted time-series data. OblivTime is built from a synergy of time-series data analytics, lightweight cryptography, and GPU parallel computing, achieving stronger security guarantees and lower online query latency over the state-of-the-art prior work. Extensive experiments demonstrate that OblivTime can achieve up to 666\times speedup in online query latency over the state-of-the-art prior work. © 2008-2012 IEEE.

关键词： Structured Query Language

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Track Initialization and Re-Identification for 3D Multi-View Multi-Object Tracking

arXiv

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arXiv 2024年

作者： Van Ma, Linh Nguyen, Tran Thien Dat Vo, Ba-Ngu Jang, Hyunsung Jeon, Moongu The School of Electrical Engineering and Computer Science at GIST Gwangju Korea Republic of The School of Electrical Engineering Computing and Mathematical Sciences Curtin University Australia The Department of EO/IR Systems Research and Development LIG Nex1 Korea Republic of

We propose a 3D multi-object tracking (MOT) solution using only 2D detections from monocular cameras, which automatically initiates/terminates tracks as well as resolves track appearance-reappearance and occlusions. Moreover, this approach does not require detector retraining when cameras are reconfigured but only the camera matrices of reconfigured cameras need to be updated. Our approach is based on a Bayesian multi-object formulation that integrates track initiation/termination, re-identification, occlusion handling, and data association into a single Bayes filtering recursion. However, the exact filter that utilizes all these functionalities is numerically intractable due to the exponentially growing number of terms in the (multi-object) filtering density, while existing approximations trade-off some of these functionalities for speed. To this end, we develop a more efficient approximation suitable for online MOT by incorporating object features and kinematics into the measurement model, which improves data association and subsequently reduces the number of terms. Specifically, we exploit the 2D detections and extracted features from multiple cameras to provide a better approximation of the multi-object filtering density to realize the track initiation/termination and re-identification functionalities. Further, incorporating a tractable geometric occlusion model based on 2D projections of 3D objects on the camera planes realizes the occlusion handling functionality of the filter. Evaluation of the proposed solution on challenging datasets demonstrates significant improvements and robustness when camera configurations change on-the-fly, compared to existing multi-view MOT solutions. The source code is publicly available at https://***/linh-gist/mv-glmb-ab. © 2024, CC BY.

关键词： Cameras

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Graph-Based Representations of Speech Signals: A Novel Approach for Emotion Recognition

SSRN

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SSRN 2023年

作者： Pentari, Anastasia Kafentzis, George Tsiknakis, Manolis Computational BioMedicine Laboratory Foundation for Research and Technology-Hellas Greece Computer Science Department University of Crete Greece Department of Electrical and Computer Engineering Hellenic Mediterranean University Greece Institute of Computer Science

Speech emotion recognition (SER) has gained an increased interest during the last decades as part of enriched affective computing. As a consequence, a variety of engineering approaches have been developed addressing the challenge of the SER problem, exploiting different features, learning algorithms, and datasets. In this paper, we propose the application of the graph theory for classifying emotionally-colored speech signals. Graph theory provides tools for extracting statistical as well as structural information from any time series. We propose to use the mentioned information as a novel feature set. Furthermore, we suggest setting a unique feature-based identity for each emotion belonging to each speaker. The emotion classification is performed by a Random Forest classifier. The proposed method is compared with two state-of-the-art approaches involving well known hand-crafted features as well as deep learning architectures operating on mel-spectrograms. Experimental results on two datasets, EMODB (acted) and DEMoS (in-the-wild), reveal that our proposed method is capable of addressing the SER problem in a more effective manner than existing approaches. © 2023, The Authors. All rights reserved.

关键词： Classification (of information)

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Theoretical study of multi-gas sensing chip using backward interference Si3N4 microcavity Kerr comb 14

Theoretical study of multi-gas sensing chip using backward i...

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14th International Conference on Information Optics and Photonics, CIOP 2023

作者： Guan, Gangyun Liu, Anqi Pi, Mingquan Zheng, Chuantao Zheng, Kaiyuan Zhu, Bingjie Wu, Xuyang Yang, Yue Zheng, Jie Wang, Yiding Tittel, Frank K. State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering Jilin University 2699 Qianjin Street Changchun China Photonics Research Center The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen China Department of Electrical and Computer Engineering Rice University 6100 Main Street HoustonTX77005 United States

ISBN: (纸本)9781510671744

Here, we present an innovative integrated near-infrared Kerr comb sensor chip designed for the simultaneous detection of multi-gas. This sensor is comprised of a microcavity featuring a feedback arm for backward coupling and a compact air-slotted sensing element. The microcavity used to form the optical comb has a symmetric dual-spiral structure with an ultra-high resolution of the absorbance spectrum and a roundtrip length of roughly 1.46 μm, which corresponds to a low repetition frequency of about 9.82 GHz. Through the application of horizontal single-slotted structured silicon nitride (Si3N4) waveguides, optimized dispersion engineering of the microcavity can be achieved, resulting in spectra with an octave-spanning bandwidth. The sensing element employs a large-length waveguide, instead of a conventional discrete gas absorption cell, which brings high compactness. By optimizing the degree of thermally tuned interference and pumping parameters of the microcavity structure, a coupling-free light source in the form of a multi-soliton comb with a pump-comb conversion efficiency of over 50% can be achieved. The sensor performance is accurately evaluated through theoretical simulations of noise-containing absorption spectra of multiple gases, confirming its applicability. © 2023 SPIE.

关键词： Light absorption

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Promoting spintronic terahertz radiation via Tamm plasmon coupling

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Photonics research 2023年第6期11卷 1057-1066页

作者： YUNQING JIANG HONGQING LI XIAOQIANG ZHANG FAN ZHANG YONG XU YONGGUANG XIAO FENGGUANG LIU ANTING WANG QIWEN ZHAN WEISHENG ZHAO School of Integrated Circuit Science and Engineering Hefei Innovation Research InsitituteBeihang UniversityBeijing 100191China Anhui High Reliability Chips Engineering Laboratory Hefei 230013China School of Materials Science and Engineering Xiangtan UniversityXiangtan 411105China Department of Optics and Optical Engineering University of Science and Technology of ChinaHefei 230026China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China

Spectral fingerprint and terahertz(THz)field-induced carrier dynamics demands the exploration of broadband and intense THz signal *** THz emitters(STEs),with high stability,a low cost,and an ultrabroad bandwidth,have been a hot topic in the field of THz *** of the main barriers to their practical application is lack of an STE with strong radiation ***,through the combination of optical physics and ultrafast photonics,the Tamm plasmon coupling(TPC)facilitating THz radiation is realized between spin THz thin films and photonic crystal *** results show that the spectral absorptance can be increased from 36.8%to 94.3%for spin THz thin films with *** coupling with narrowband resonance not only improves the optical-to-spin conversion efficiency,but also guarantees THz transmission with a negligible loss(~4%)for the photonic crystal *** to the simulation,we prepared this structure successfully and experimentally realized a 264%THz radiation ***,the spin THz thin films with TPC exhibited invariant absorptivity under different polarization modes of the pump beam and weakening confinement on an obliquely incident pump *** approach is easy to implement and offers possibilities to overcome compatibility issues between the optical structure design and low energy consumption for ultrafast THz optospintronics and other similar devices.

关键词： pump polarization coupling

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Slow-light-enhanced on-chip 1D and 2D photonic crystal waveguide gas sensing in near-IR with an ultrahigh interaction factor

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Photonics research 2023年第10期11卷 1647-1656页

作者： ZIHANG PENG YIJUN HUANG KAIYUAN ZHENG CHUANTAO ZHENG MINGQUAN PI HUAN ZHAO JIALIN JI YUTING MIN LEI LIANG FANG SONG YU ZHANG YIDING WANG FRANK K.TITTEL State Key Laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012China Department of Electrical Engineering and Photonics Research Institute The Hong Kong Polytechnic UniversityHong Kong 518060China State Key Laboratory of Luminescence and Applications Changchun Institute of OpticsFine Mechanics and PhysicsChinese Academy of SciencesChangchun 130033China Department of Electrical and Computer Engineering Rice UniversityHoustonTexas 77005USA

Nanophotonic waveguides hold great promise to achieve chip-scale gas sensors. However, their performance is limited by a short light path and small light–analyte overlap. To address this challenge, silicon-based, slow-lightenhanced gas-sensing techniques offer a promising approach. In this study, we experimentally investigated the slow light characteristics and gas-sensing performance of 1D and 2D photonic crystal waveguides(PCWs) in the near-IR(NIR) region. The proposed 2D PCW exhibited a high group index of up to 114, albeit with a high propagation loss. The limit of detection(LoD) for acetylene(C_(2)H_(2)) was 277 parts per million(ppm) for a1 mm waveguide length and an averaging time of 0.4 s. The 1D PCW shows greater application potential compared to the 2D PCW waveguide, with an interaction factor reaching up to 288%, a comparably low propagation loss of 10 dB/cm, and an LoD of 706 ppm at 0.4 s. The measured group indices of the 2D and 1D waveguides are104 and 16, respectively, which agree well with the simulation results.

关键词： waveguide light interaction

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