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Aerosol jet printing of piezoelectric surface acousticwave thermometer

Microsystems & Nanoengineering 2023年第3期9卷 31-42页

作者： Nicholas McKibben Blake Ryel Jacob Manzi Florent Muramutsa Joshua Daw Harish Subbaraman David Estrada Zhangxian Deng Micron School of Materials Science and Engineering Boise State University1910 W University DriveBoiseID 83725USA Department of Mechanical and Biomedical Engineering Boise State UniversityBoiseID 83725USA School of Electrical Engineering and Computer Science Oregon State University2500 NW Monroe AvenueCorvallisOR 97331USA Idaho National Laboratory Idaho FallsID 83415USA Center for Advanced Energy Studies Idaho FallsID 83401USA

Surface acoustic wave(SAW)devices are a subclass of micro-electromechanical systems(MEMS)that generate an acoustic emission when electrically *** transducers also work as detectors,converting surface strain into readable electrical *** properties of the generated SAW are material dependent and influenced by external factors like *** monitoring temperature-dependent scattering parameters a SAW device can function as a thermometer to elucidate substrate *** fabrication of SAW sensors requires labor-and cost-intensive subtractive processes that produce large volumes of hazardous *** study utilizes an innovative aerosol jet printer to directly write consistent,high-resolution,silver comb electrodes onto a Y-cut LiNbO3 *** printed,two-port,20 MHz SAW sensor exhibited excellent linearity and repeatability while being verified as a thermometer from 25 to 200℃.Sensitivities of the printed SAW thermometer are−96.9×10^(−6)℃^(−1)and−92.0×10^(-6)℃^(−1) when operating in pulse-echo mode and pulse-receiver mode,*** results highlight a repeatable path to the additive fabrication of compact high-frequency SAW thermometers.

关键词： scattering wave surface

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On-Demand Collaborative Sensing with Digital Twin-Driven Resource Allocation 100

On-Demand Collaborative Sensing with Digital Twin-Driven Res...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Li, Mushu Gao, Jie Zhou, Conghao Zhao, Lian Shen, Xuemin Lehigh University Department of Computer Science and Engineering BethlehemPA18015 United States Carleton University School of Information Technology OttawaONK1S 5B6 Canada University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada Toronto Metropolitan University Department of Electrical Computer & Biomedical Engineering TorontoM5B 2K3 Canada

ISBN: (纸本)9798331517786

This paper introduces a real-time collaborative sensing scheme for wireless sensor networks in time-varying environments. The objective is to maximize the sensors' performance by effectively allocating communication resources for data sharing. Specifically, we utilize digital twins (DTs) to characterize dynamic collaborative sensing demands for each sensor through data-driven methods. Building on the DT design, we propose a resource allocation scheme to optimize the communication resources allocated at each stage of collaborative sensing and determine the most effective collaborative sensing policy. By profiling sensors using DTs, the network controller can effectively coordinate the sensors without exhaustively exploring all collaborative sensing policies. Numerical results demonstrate the effectiveness of our proposed scheme in optimizing the sensing performance for all sensors. © 2024 IEEE.

关键词： Genetic algorithms

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Reconfiguration of Power Distribution Systems in the Presence of Voltage-Dependent Loads

Reconfiguration of Power Distribution Systems in the Presenc...

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2023 IEEE Texas Power and Energy Conference, TPEC 2023

作者： Mahdavi, Meisam Schmitt, Konrad Bayne, Stephen Chamana, Manohar University of Jaén Department of Electrical Engineering Jaén Linares Spain Texas Tech University Electrical and Computer Engineering Department LubbockTX United States Texas Tech University Renewable Energy Program LubbockTX United States

ISBN: (纸本)9781665490719

Load power can be changed by voltage fluctuation of network buses, in which reconfiguring the topology of distribution systems impacts the magnitude of bus voltages. Only a few papers have considered voltage-dependent loads in their reconfiguration models but introduced nonlinear formulations or highly approximated linear approaches. While nonlinear models can be solved by metaheuristic algorithms without guaranteeing the optimality of solutions or may be implemented by commercial nonlinear solvers, they require intensive and time-consuming computations. Moreover, linearized models are highly approximated by piecewise linear functions with many unknown parameters. Thus, this paper presents the effective design of the reconfiguration problems, including voltage dependency of loads, which can be solved using commercial linear solvers. The proposed models are precise enough to find accurate results for the reconfiguration problem and are adequately fast to converge to optimal solutions. The results show that the proposed solutions not only reduce active power losses significantly but increase the minimum voltage of the system effectively. © 2023 IEEE.

关键词： Power quality

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Exploratory tNIRS Assessment of Cortical Activation during a Novel Virtual Reality Object Orientation Memory Task 11

Exploratory tNIRS Assessment of Cortical Activation during a...

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11th International IEEE/EMBS Conference on Neural engineering, NER 2023

作者： McIntyre, J. McLinden, J. Borgheai, S.B. Shahriari, Y. University of Rhode Island Department of Electrical Computer & Biomedical Engineering KingstonRI02881 United States Emory University Department of Neurology AtlantaGA30322 United States

ISBN: (纸本)9781665462921

Decoding neural signatures of visuo-spatial functions can play an important role in guiding human-computer interactions (HCI). Virtual reality (VR) enhances these interactions and offers a new tool for exploring visuo-spatial functions. Studies have shown that cortical areas involving visuo-spatial functions are heavily coordinated with those involving motor activities. As VR gains popularity and practicality, individuals with mobility impairments may begin to rely on it for activities including social interactions, cognitive and physical training. It is important to measure and monitor brain activation evoked during these VR activities to properly guide the HCI technologies. In this work, we introduce a novel VR task which evokes both visuo-spatial working memory (VSWM) and motor hemodynamic responses in the brain. The proposed paradigm is an object orientation memory task that requires some degree of motor activity. The task involves memorizing the orientation of a 3D object, and then recalling and recreating that orientation from a rotated version of that 3D object using a handheld controller. Functional near-infrared spectroscopy (fNIRS) was recorded from seven participants out of whom two were excluded due to substantial motion artifacts and poor optode connections. We performed a generalized linear model (GLM) analysis in which we used a subject specific hemodynamic response function (HRF) to quantify the activations during the proposed task. Our results demonstrated that superior frontal gyrus (SFG) is the most activated during the proposed task and that the activity is consistently lateral across subjects. These findings can contribute to guiding the advent of VR furthering the understanding of visuo-spatial and motor interactions in HCI. © 2023 IEEE.

关键词： Virtual reality

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Real-Time, Dynamic Sensory Feedback Using Neuromorphic Tactile Signals and Transcutaneous electrical Nerve Stimulation

Real-Time, Dynamic Sensory Feedback Using Neuromorphic Tacti...

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2022 IEEE biomedical Circuits and Systems Conference, BioCAS 2022

作者： Tian, Yucheng Slepyan, Ariel Iskarous, Mark M. Sankar, Sriramana Hunt, Christopher L. Thakor, Nitish V. Johns Hopkins University Department of Biomedical Engineering Baltimore United States Johns Hopkins University Department of Electrical and Computer Engineering Baltimore United States

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

Despite advances in motor control of current upper limb prosthetic devices, many prosthetic users still experience poor prosthesis embodiment due to a lack of sensory feedback. Previous studies have focused on novel tactile sensor development, neuron-like (neuromorphic) encoding, and sensory stimulation to develop sensorized prosthetics. However, the real-time dynamics of the tactile information and sensory feedback have not yet been addressed. In this work, we developed a neuromorphic closed-loop system that integrates tactile sensing and transcutaneous electrical nerve stimulation in real time. We demonstrate the dynamic characteristics of the sensory stimulation pulses that change in response to real-time neuromorphic tactile information, which is the foundation of enhanced sensory perception and dexterous motor control in upper limb amputees. © 2022 IEEE.

关键词： Sensory feedback

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An Efficient Model for Optimal Allocation of Renewable Energy Sources in Distribution Networks with Variable Loads

An Efficient Model for Optimal Allocation of Renewable Energ...

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2023 IEEE Texas Power and Energy Conference, TPEC 2023

ISBN: (纸本)9781665490719

Operational costs are affected by energy losses of distribution systems, in which these losses are higher than those of the transmission system. The placement of distributed generation (DG) units in power distribution networks is an efficient way of energy loss reduction. Today, DG penetration in distribution systems is increasing because of the great effect of renewable energy resources on environmental sustainability. Power demand variations have an essential role in the determination of energy losses amount and optimal generation of DGs. Besides, considering the variability of load level in the DG allocation problem raises the burden and computational time substantially. Therefore, this paper proposes an effective DG allocation strategy for energy loss minimization in the presence of variable power demand. The evaluation of numerical results indicates the desired performance of the presented framework for the optimal placement of DG units in distribution systems with time-varying loads. © 2023 IEEE.

关键词： Energy dissipation

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Maximum Application of Power Point Tracker on Microcontroller Based Dual Energy Solar Powered Dryer 3rd

Maximum Application of Power Point Tracker on Microcontrolle...

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3rd International Conference on Experimental and Computational Mechanics in engineering, ICECME 2021

作者： Jalil, Saifuddin Muhammad Husaini Munadi, Rizal Sara, Ira Devi Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Department of Mechanical Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Department of Electrical Universitas Malikussaleh Lhokseumawe24351 Indonesia

ISBN: (纸本)9789811936289

Solar-powered dryers are still expensive and difficult to obtain for farmers with medium to low production capacity. For this reason, it is necessary to develop technology on a solar-powered dryer with a solar panel capacity of 200WP is equipped with a maximum power point tracker as an integrated solar collector with a photovoltaic system. The system in this solar-powered dryer consists of a solar panel tracker, a rotating aluminum cylinder net, a photovoltaic tracker, a battery bank, a microcontroller, and a DC/AC inverter. This system improves the performance of solar panels in the drying process of Moringa leaves. This design is expect to be the right system to ensure maximum results by providing solar radiation energy in the drying process of agricultural products. The aims goal to minimize problems in the drying of agricultural products experienced by farmers using an automatic dual-energy solar-powered dryer as a development innovation for the drying process. This study uses an experimental methodology and field data collection using a solar-powered dryer that has been analyzed and measured to obtain data comparisons. shows the maximum data of voltage and power response in positioning photovoltaic to produce the increased output power of photovoltaic array. Maximum application of powerpoint tracker on microcontroller based dual energy solar powered dryer on solar panels for drying moringa leaves produces the advantage of maximum energy absorption in solar panels and shortens the time in the drying process of moringa leaves. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Microcontrollers

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Microstructuring of cobalt (Co) thin films by UV laser irradiation

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Applied Physics A: Materials Science and Processing 2023年第12期129卷 1-5页

作者： Itapu, Srikanth Borra, Vamsi Selvendran, S. Department of Electronics and Communication Engineering Alliance University Chandapura-Anekal Road Bengaluru562106 India Electrical and Computer Engineering Program Rayen College of Engineering Youngstown State University 1 University Plaza YoungstownOH44555 United States Vellore Institute of Technology Chennai Kelambakam-Vandaloor Road Chennai600127 India

This work reports the microstructuring of cobalt (Co) thin films by high-energy UV pulsed laser irradiation. The parameters responsible for the efficient formation of such microstructures include laser fluence and film parameters. Cracks and island formations were observed for Co thin films deposited by RF sputtering. Such rough films rendered to produce inefficient microstructuring. To overcome this limitation, Co thin films were deposited by vacuum evaporation resulting in a smooth thin film compatible for laser-induced microstructuring. Two stages of conical patterning are discussed in terms of localized melting and abrupt condensation of the melted Co film owing to laser irradiation. An efficiency of 90% for laser-based microstructuring suggests that it is an efficient and non-invasive technique for fabricating nanostructures. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.

关键词： Vacuum evaporation

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A MICRO-ANALYTICAL PLATFORM COMBINING TUMOR TREATING FIELDS AND INTEGRATED CAPACITANCE SENSING 26

A MICRO-ANALYTICAL PLATFORM COMBINING TUMOR TREATING FIELDS ...

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26th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Gilpin, Yann Dandin, Marc Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh United States Department of Biomedical Engineering Carnegie Mellon University Pittsburgh United States

ISBN: (纸本)9781733419048

Tumor treating fields (TTFs) are a novel electric field-based cancer treatment modality for solid tumors. On the other hand, integrated capacitance sensing is a lab-on-a-chip technology that provides quantitative measurements of cell growth in vitro. In this brief, we present a novel micro-analytical platform for assessing the efficacy of tumor treating fields using integrated capacitance sensing. Our approach features a microsystem that includes miniaturized tumor treating field electrodes, a culture well, and a CMOS capacitance sensor. We show that this microsystem can track TTF anti-cancer effects in real time. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Cell proliferation

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Using a Novel Algorithm in Ultrasound Images to Detect Renal Stones 12th

Using a Novel Algorithm in Ultrasound Images to Detect Renal...

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12th National Technical Seminar on Unmanned System Technology, NUSYS 2020

作者： Eskandari, Sania Meshgini, Saeed Farzamnia, Ali Department of Biomedical Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Faculty of Engineering Universiti Malaysia Sabah Kota Kinabalu Sabah Malaysia

ISBN: (纸本)9789811624056

Medical ultrasound is utilized as the primary method for the detection of kidney stones. Ultrasound imaging is often more popular than other imaging techniques because it is portable, low-cost, non-invasive, and does not utilize ionizing radiations. In this paper, three essential segmentation algorithms, namely Fuzzy C-means, K-means, and Expectation–Maximization algorithms, are proposed for the identification of renal stone in kidney ultrasound images. Expectation–Maximization algorithm is a novel method used by us for the first time for identifying renal stones. Initially, ultrasound kidney image is pre-processed. The pre-processing of ultrasound images comprises of denoising utilizing wavelet thresholding technique. The pre-processed image is taken as input for the segmentation process. Fuzzy C-means, K-means, and Expectation–Maximization algorithms are used to segment the renal calculi from the kidney ultrasound image;further region parameters are extracted from the segmented region. According to our results, K-means algorithm has the average accuracy, precision, and sensitivity equal to 99.82%, 92.83%, and 48.44%, respectively, and the average computation time is 4.31 s. As for the Fuzzy C-means algorithm, we report those values: 99.87, 80.59, 53.17%, and the average computation time is 346.29 s. Finally, for the proposed Expectation–Maximization algorithm, the values are 99.96, 82.38, and 84.52%, with the average computation time equal to 58.02 s. Fuzzy C-means produce better results than K-means segmentation, but it requires more computation time than K-means segmentation. Our proposed method has much better results than the other two methods and can find the renal stones in less than a minute. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Ionizing radiation

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