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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Park, Ki-Hong Alouini, Mohamed-Slim Chen, Yunfei King Abdullah University of Science and Technology Computer Electrical and Mathematical Sciences and Engineering Division Thuwal Saudi Arabia Durham University Department of Engineering Durham United Kingdom

ISBN: (纸本)9798350370218

In this paper, we consider the deployment problem of integrated sensing and communication (ISAC) network in sparsely populated area where the distributions of broadband users and Internet-of-things (IoT) devices are disjoint and therefore traditional network infrastructure can be under-utilized. Network-in-a-box which is lightweight, portable, and flexible to support different type of networks is the emerging technology for either one-off network or under-served network environments. We formulate the total network throughput maximization problem to optimally deploy multiple NIBs enabling an ISAC network supporting both conventional broadband data and sensed IoT data modeled by short packet communication (SPC) framework. Under the delay and minimum throughput requirements of sensing data for IoT devices, we will propose the suboptimal iterative solution to find location of NIBs, association between NIB and user, and coding rate in SPC framework and verify the feasibility by simulation. © 2023 IEEE.

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Spin Orbit Torque Tunable Skyrmion Neuromorphic Devices

Spin Orbit Torque Tunable Skyrmion Neuromorphic Devices

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2022 IEEE International Conference on Emerging Electronics, ICEE 2022

作者： Lone, Aijaz H. Zou, Xuecui Garcia, Glen Isaac MacIel Li, Xiaohang Fariborzi, Hossein King Abdullah University of Science and Technology Electrical and Computer Engineering Division Saudi Arabia King Abdullah University of Science and Technology Physical Science and Engineering Division Saudi Arabia King Abdullah University of Science and Technology Electrical and Computer Engineering Division Physical Science and Engineering Division Saudi Arabia

ISBN: (纸本)9781665491853

Skyrmionic devices are promising candidates for energy efficient and highly integrated data storage and computing applications, owing to their small size, topological protection, and low drive current. In this abstract we propose novel spin orbit torque (SOT) controlled skyrmion device structures and their application in neuromorphic computing. We propose a spin orbit torque-driven SOT skyrmion magnetic tunnel junction (MTJ) device showing Leaky Integrate and Fire (LIF) neuron behaviour, and a SOT-controlled MTJ synaptic device in which the skyrmion size depends on the thickness of the free layer. Furthermore, we implement the spiking neural network and artificial neural network based on these devices for MNIST data classification. © 2022 IEEE.

关键词： Torque

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Element-specific high-bandwidth ferromagnetic resonance spectroscopy with a coherent extreme-ultraviolet source

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Physical Review Applied 2024年第6期21卷 064047-064047页

作者： Michael Tanksalvala Anthony Kos Jacob Wisser Scott Diddams Hans T. Nembach Justin M. Shaw Applied Physics Division Time & Frequency Division Electrical Computer & Energy Engineering Department of Physics Physical Measurement Laboratory

In this paper, we apply a tabletop, ultrafast, high-harmonic generation (HHG) source to measure the element-specific ferromagnetic resonance (FMR) in ultrathin magnetic alloys and multilayers on an opaque Si substrate. We demonstrate a continuous-wave bandwidth up to 62 GHz, with a promise to extend it to 100 GHz or higher. This laboratory-scale instrument detects the FMR using ultrafast, extreme-ultraviolet (EUV) light, with photon energies spanning the M-edges of the most relevant magnetic elements. A radiofrequency frequency comb generator is used to produce a microwave excitation that is intrinsically synchronized to the EUV pulses with a timing jitter of 1.1 ps or better. We apply this system to measure the dynamics in a multilayer system as well as Ni-Fe and Co-Fe alloys. Since this instrument operates in reflection mode, it is a milestone toward measuring and imaging the dynamics of the magnetic state and spin transport of active devices on arbitrary substrates on a tabletop. The higher bandwidth also enables measurements of materials with high magnetic anisotropy, as well as ferrimagnets, antiferromagnets, and short-wavelength (high-wavevector) spin waves in nanostructures or nanodevices. Furthermore, the coherence and short wavelength of the EUV will enable extending these studies using dynamic nanoscale lensless imaging techniques such as coherent diffractive imaging, ptychography, and holography.

关键词： High-order harmonic generation Magnetization dynamics Magneto-optical Kerr effect Ultrafast phenomena Ferromagnetic resonance Optical nanoscopy Spectroscopy X-ray techniques

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Identification and Classification of Multiple Power Quality Disturbances Using a Parallel Algorithm and Decision Rules

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Energy engineering 2022年第2期119卷 473-497页

作者： Nagendra Kumar Swarnkar Om Prakash Mahela Baseem Khan Mahendra Lalwani Department of Electrical Engineering Rajasthan Technical UniversityKotaIndia Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam LimitedJaipurIndia Department of Electrical and Computer Engineering Hawassa UniversityAwassaEthiopia

A multiple power quality(MPQ)disturbance has two or more power quality(PQ)disturbances superimposed on a voltage signal.A compact and robust technique is required to identify and classify the MPQ *** manuscript investigated a hybrid algorithm which is designed using parallel processing of voltage with multiple power quality(MPQ)disturbance using stockwell transform(ST)and hilbert transform(HT).This will reduce the computational time to identify theMPQdisturbances,whichmakes the algorithm fast.A MPQ identification index(IPI)is computed using statistical features extracted from the voltage signal using the ST and *** has different patterns for various types of MPQ disturbances which effectively identify the MPQ disturbances.A MPQ time location index(IPL)is computed using the features extracted from the voltage signal using ST and *** effectively identifies the initiation and end of PQ disturbances and thereby locates the MPQ events with respect to *** of MPQ disturbances is performed using decision rules in both the noise-free and noisy environments with a 20 dB noise to signal ratio(SNR).The performance of the proposed hybrid algorithm using ST and HT with rule-based decision tree(RBDT)is better compared to the ST and RBDT techniques in terms of accuracy of classification of MPQ *** software is used to perform the study.

关键词： Decision rules hilbert transform multiple PQ disturbance power quality stockwell transform

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Fuzzy Set-Membership Filtering for Discrete-Time Nonlinear Systems

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IEEE/CAA Journal of Automatica Sinica 2022年第6期9卷 1026-1036页

作者： Jingyang Mao Xiangyu Meng Derui Ding Department of Control Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China Division of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA70803 USA IEEE School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia

In this article,the problem of state estimation is addressed for discrete-time nonlinear systems subject to additive unknown-but-bounded noises by using fuzzy set-membership ***,an improved T-S fuzzy model is introduced to achieve highly accurate approximation via an affine model under each fuzzy ***,compared to traditional prediction-based ones,two types of fuzzy set-membership filters are proposed to effectively improve filtering performance,where the structure of both filters consists of two parts:prediction and *** the locally Lipschitz continuous condition of membership functions,unknown membership values in the estimation error system can be treated as multiplicative noises with respect to the estimation ***-time recursive algorithms are given to find the minimal ellipsoid containing the true ***,the proposed optimization approaches are validated via numerical simulations of a one-dimensional and a three-dimensional discrete-time nonlinear systems.

关键词： Affine model membership functions set-membership filtering stability Takagi-Sugeno fuzzy modeling

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Design of a Small Array of electrically Small Umbrella Monopoles for HF Communications

Design of a Small Array of Electrically Small Umbrella Monop...

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2024 IEEE International Symposium on Phased Array Systems and Technology, ARRAY 2024

作者： Yen, Songyi Filipovic, Dejan S. Logan, John T. University of Colorado Boulder Electrical Computer and Energy Engineering BoulderCO United States RADAR Division Naval Research Laboratory WashingtonDC United States

ISBN: (纸本)9798350392142

The feasibility of a small array for communications in the HF band is evaluated. electrically small antennas comprise the array, and the array allows for pattern control. The use of impedance tuners on each element is assumed to achieve performance across the HF band. Performance of the array is examined using the theoretical maximum tuned instantaneous bandwidth (IBW). A total of 19 antennas are placed on a 1.67 m hexagonal grid achieving the widest extent of 8.35 meters ( © 2024 IEEE.

关键词： Antenna phased arrays

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Temporal logic specification-conditioned decision transformer for offline safe reinforcement learning 24

Temporal logic specification-conditioned decision transforme...

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Proceedings of the 41st International Conference on Machine Learning

作者： Zijian Guo Weichao Zhou Wenchao Li Division of Systems Engineering Boston University Department of Electrical and Computer Engineering Boston University Department of Electrical and Computer Engineering Boston University.

Offline safe reinforcement learning (RL) aims to train a constraint satisfaction policy from a fixed dataset. Current state-of-the-art approaches are based on supervised learning with a conditioned policy. However, these approaches fall short in real-world applications that involve complex tasks with rich temporal and logical structures. In this paper, we propose temporal logic Specification-conditioned Decision Transformer (SDT), a novel framework that harnesses the expressive power of signal temporal logic (STL) to specify complex temporal rules that an agent should follow and the sequential modeling capability of Decision Transformer (DT). Empirical evaluations on the DSRL benchmarks demonstrate the better capacity of SDT in learning safe and high-reward policies compared with existing approaches. In addition, SDT shows good alignment with respect to different desired degrees of satisfaction of the STL specification that it is conditioned on.

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High-yield and rapid isolation of extracellular vesicles by flocculation via orbital acoustic trapping:FLOAT

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Microsystems & Nanoengineering 2024年第1期10卷 313-323页

作者： Joseph Rufo Peiran Zhang Zeyu Wang Yuyang Gu Kaichun Yang Joseph Rich Chuyi Chen Ruoyu Zhong Ke Jin Ye He Jianping Xia Ke Li Jiarong Wu Yingshi Ouyang Yoel Sadovsky Luke P.Lee Tony Jun Huang Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNCUSA Department of Biomedical Engineering Duke UniversityDurhamNCUSA Department of Obstetrics Gynecologyand Reproductive SciencesMagee-Womens Research InstituteUniversity of PittsburghPittsburghPAUSA Department of Microbiology and Molecular Genetics School of MedicineUniversity of PittsburghPittsburghPAUSA Renal Division and Division of Engineering in Medicine Department of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA Department of Bioengineering Department of Electrical Engineering and Computer ScienceUniversity of CaliforniaBerkeleyBerkeleyCAUSA Department of Biophysics Institute of Quantum BiophysicsSungkyunkwan UniversitySuwonKorea

Extracellular vesicles(EVs)have been identified as promising biomarkers for the noninvasive diagnosis of various ***,challenges in separating EVs from soluble proteins have resulted in variable EV recovery rates and low ***,we report a high-yield(>90%)and rapid(<10 min)EV isolation method called FLocculation via Orbital Acoustic Trapping(FLOAT).The FLOAT approach utilizes an acoustofluidic droplet centrifuge to rotate and controllably heat liquid *** adding a thermoresponsive polymer flocculant,nanoparticles as small as 20 nm can be rapidly and selectively concentrated at the center of the *** demonstrate the ability of FLOAT to separate urinary EVs from the highly abundant Tamm-Horsfall protein,addressing a significant obstacle in the development of EV-based liquid *** to its high-yield nature,FLOAT reduces biofluid starting volume requirements by a factor of 100(from 20 mL to 200µL),demonstrating its promising potential in point-of-care diagnostics.

关键词： trapping utilize separating

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An Array of Silicon Dual Microneedle Electrodes Integrated With mini-LEDs for Electrophysiological Recording And Simultaneous Application of electrical and Optical Stimuli to the Retina for Artificial Vision 38

An Array of Silicon Dual Microneedle Electrodes Integrated W...

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38th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2025

作者： Chung, Seung-Han Kim, Chaesung Kim, Yong-Kweon Lee, Seung-Ki Park, Jae-Hyoung Im, Maesoon Seoul National University Department of Electrical and Computer Engineering Seoul Korea Republic of College of Engineering Korea University School of Electrical Engineering Seoul Korea Republic of Dankook University Department of Electronics and Electrical Engineering Yongin Korea Republic of Seoul Korea Republic of Division of Bio-Medical Science and Technology Seoul Korea Republic of Kyung Hee University KHU-KIST Department of Converging Science and Technology Seoul Korea Republic of

ISBN: (纸本)9798331508890

We report a novel hybrid neural interface device that not only enables simultaneous application of electrical and optical stimuli but also offers electrophysiological recording capability. A 6×6 silicon dual microneedle electrode array was fabricated and each pair consisted of recording and stimulating electrodes. A mini-LED matrix was also integrated underneath the electrode array to deliver optical stimulation. Spiking activities of retinal ganglion cells of an ex-vivo retina were successfully recorded in response to electrical and optical stimuli applied from the fabricated device. © 2025 IEEE.

关键词： Light emitting diodes

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DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game 39

DualGFL: Federated Learning with a Dual-Level Coalition-Auct...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Chen, Xiaobing Zhou, Xiangwei Zhang, Songyang Sun, Mingxuan Division of Electrical and Computer Engineering Louisiana State University United States Department of Electrical and Computer Engineering University of Louisiana Lafayette United States Division of Computer Science and Engineering Louisiana State University United States

ISBN: (纸本)157735897X

Despite some promising results in federated learning using game-theoretical methods, most existing studies mainly employ a one-level game in either a cooperative or competitive environment, failing to capture the complex dynamics among participants in practice. To address this issue, we propose DualGFL, a novel Federated Learning framework with a Dual-level Game in cooperative-competitive environments. DualGFL includes a lower-level hedonic game where clients form coalitions and an upper-level multi-attribute auction game where coalitions bid for training participation. At the lower-level DualGFL, we introduce a new auction-aware utility function and propose a Pareto-optimal partitioning algorithm to find a Pareto-optimal partition based on clients’ preference profiles. At the upper-level DualGFL, we formulate a multi-attribute auction game with resource constraints and derive equilibrium bids to maximize coalitions’ winning probabilities and profits. A greedy algorithm is proposed to maximize the utility of the central server. Extensive experiments on real-world datasets demonstrate DualGFL’s effectiveness in improving both server utility and client utility. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Federated learning

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