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2023 Joint Urban Remote Sensing Event, JURSE 2023

作者： Marzialetti, Flavio Carranza, Maria Laura Sorriso, Antonietta Gamba, Paolo EnvixLab Department of Biosciences and Territory Italy University of Pavia Biomedical and Computer Engineering Department of Electrical Pavia Italy

ISBN: (纸本)9781665493734

Monitoring city boundaries and extents is a mandatory task so as to achieve the 11th Goal of sustainable development agenda 2030. This work aims at exploring the potential of the SAR dataset recorder by the SIASGE constellation for mapping urban areas and their extent. In particular, urban maps have been produced by applying the Urban EXTent algorithm to Very High Resolution (VHR) Cosmo-SkyMed first generation (CSK and CSG, respectively) in X-band and SAOCOM (SAO) data in L-band. Urban extractions based on multi-temporal SAR data and based on a single date have also been compared. SAR-based urban maps have been finally analyzed against existing land cover maps produced by multi-spectral data. All three SAR derived maps presented high accuracy, with CSG being the best one, and CSK and SAO slightly less performant. Urban maps derived from multitemporal SAR information presented higher accuracy than those based on a single date and, at the same time, resulted coherent with land cover maps produced by traditional multispectral data classification. The VHR CSG and CSK, with high computational efforts, well support urban extent mapping at very fine local scale, while SAO data provide a good support for mapping urban areas at a regional or country scale. © 2023 IEEE.

关键词： Mapping

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Protein Nanowire Thin Films for the Potential of Constructing ‘Green’ Electronic Devices

Protein Nanowire Thin Films for the Potential of Constructin...

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International Workshop on Thin Films for Electronics, Electro-Optics, Energy and Sensors 2022

作者： Yao, Jun Department of Electrical and Computer Engineering Institute of Applied Life Sciences Department of Biomedical Engineering University of Massachusetts AmherstMA01003 United States

ISBN: (纸本)9781510660618

Protein nanowires harvested from microbes G. sulfurreducens are a renewable, green electronic material. Electronic devices made from protein nanowires show novel or improved functions in energy harvesting, computing and sensing. First, thin film assembled from protein nanowires is used to construct air generator (air-gen) that can continuously harvest electricity from air humidity, unveiling the potential of continuous and ubiquitous clean energy harvesting. Second, memristors and neuromorphic devices constructed from protein nanowires function at biological amplitude ( © 2023 SPIE. All rights reserved.

关键词： Proteins

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Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning

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Journal of Energy Chemistry 2024年第4期91卷 512-521页

作者： Liang Ma Jinpeng Tian Tieling Zhang Qinghua Guo Chunsheng Hu School of Mechanical MaterialsMechatronic and Biomedical EngineeringUniversity of WollongongWollongongNSW 2522Australia Department of Electrical and Electronic Engineering and Research Centre for Grid Modernization The Hong Kong Polytechnic UniversityKowloonHong Kong 999077China School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW 2522Australia School of Advanced Interdisciplinary Studies Ningxia UniversityYinchuan 750000NingxiaChina

The safe and reliable operation of lithium-ion batteries necessitates the accurate prediction of remaining useful life(RUL).However,this task is challenging due to the diverse ageing mechanisms,various operating conditions,and limited measured *** data-driven methods are perceived as a promising solution,they ignore intrinsic battery physics,leading to compromised accuracy,low efficiency,and low *** response,this study integrates domain knowledge into deep learning to enhance the RUL prediction *** demonstrate accurate RUL prediction using only a single charging ***,a generalisable physics-based model is developed to extract ageing-correlated parameters that can describe and explain battery degradation from battery charging *** parameters inform a deep neural network(DNN)to predict RUL with high accuracy and *** trained model is validated under 3 types of batteries working under 7 conditions,considering fully charged and partially charged *** data from one cycle only,the proposed method achieves a root mean squared error(RMSE)of 11.42 cycles and a mean absolute relative error(MARE)of 3.19%on average,which are over45%and 44%lower compared to the two state-of-the-art data-driven methods,*** its accuracy,the proposed method also outperforms existing methods in terms of efficiency,input burden,and *** inherent relationship between the model parameters and the battery degradation mechanism is further revealed,substantiating the intrinsic superiority of the proposed method.

关键词： Lithium-ion batteries Remaining useful life Physics-informed machine learning

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Computational Wavefront Shaping with Epi-mode 3D Refractive Index Microscopy

Computational Wavefront Shaping with Epi-mode 3D Refractive ...

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2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

作者： Cai, Mingxuan Zhou, Kevin C. Xue, Yi Waller, Laura Department of Electrical Engineering and Computer Science University of California Berkeley United States Department of Biomedical Engineering University of California Davis United States

We present a wavefront shaping method that computes the optimal wavefront for random-access focusing through scattering in 3D, by using prior knowledge of the reconstructed 3D refractive index (RI), measured in epi-mo... 详细信息

ISBN: (纸本)9781957171289

关键词： Refractive index

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High-speed 4D fluorescence light field tomography of whole freely moving organisms

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Optica 2025年第5期12卷 674-684页

作者： Zhou, Kevin C. Cook, Clare Chakraborty, Archan Bagwell, Jennifer Jönsson, Joakim Lee, Kyung Chul Yang, Xi Xu, Shiqi Balla, Ramana Kolar, Kushal Lewis, Caitlin Harfouche, Mark Fox, Donald T. Bagnat, Michel Horstmeyer, Roarke Department of Biomedical Engineering Duke University DurhamNC United States Department of Biomedical Engineering University of Michigan Ann ArborMI United States Department of Pharmacology & Cancer Biology Duke University DurhamNC United States Department of Cell Biology Duke University DurhamNC United States Department of Biomedical Engineering Tandon School of Engineering New York University BrooklynNY United States Department of Electrical & Computer Engineering Duke University DurhamNC United States Ramona Optics Inc. 1000 W Main St. DurhamNC27701 United States

Volumetric fluorescence imaging techniques, such as confocal, multiphoton, light sheet, and light field microscopy, have become indispensable tools across a wide range of cellular, developmental, and neurobiological applications. However, it is difficult to scale such techniques to the large 3D fields of view (FOV), volume rates, and synchronicity requirements for high-resolution 4D imaging of freely behaving organisms. Here, we present reflective Fourier light field computed tomography (ReFLeCT), a high-speed volumetric fluorescence computational imaging technique. ReFLeCT synchronously captures entire tomograms of multiple unrestrained, unanesthetized model organisms across multi-millimeter 3D FOVs at 120 volumes per second. In particular, we applied ReFLeCT to reconstruct 4D videos of fluorescently labeled zebrafish and Drosophila larvae, enabling us to study their heartbeat, fin and tail motion, gaze, jaw motion, and muscle contractions with nearly isotropic 3D resolution while they are freely moving. To our knowledge, as a novel approach for snapshot tomographic capture, ReFLeCT is a major advance toward bridging the gap between current volumetric fluorescence microscopy techniques and macroscopic behavioral imaging. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Fluorescence microscopy

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Optimized Substrate Integrated Waveguide (SIW) Antenna for Wearable Health Monitoring Applications 5

Optimized Substrate Integrated Waveguide (SIW) Antenna for W...

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5th International Conference on Smart Sensors and Application, ICSSA 2024

作者： Saranya, S. Sharmila, B. Shashank Kanna, R. Nesasudha, M. Karthikeyan, T.A. Department of Electronics and communication Engineering Sri Eshwar College of Engineering Coimbatore India Department of Biomedical Engineering Sri Ramakrishna Engineering College Coimbatore India Department of Electrical Engineering and Computer Science Monash University Malaysia Department of ECE Karunya Institute of Technology and Sciences Coimbatore India

ISBN: (数字)9798350354294

ISBN: (纸本)9798350354294

Around 50 million people in the world are affected by chronic seizures and epilepsy. Seizures are usually diagnosed by CT scans, MRI scans, EEGs, and blood tests. However, there is a need for devices that help people to detect and receive alerts before the onset of a seizure episode. This paper addresses the need to design a seizure detection device that works on the principle of changing muscle permittivity. As chronic seizures can be life-threatening, there is a need for devices that detect seizures before their onset, to help a person take precautionary measures. Though there are a few devices that work for this application, there is always room for improvement and innovation. Therefore, we have proposed a novel microstrip patch antenna that acts as a miniaturised biosensor. One of the major symptoms of seizure is the change in muscle stiffness. Considering this factor, our antenna is designed to detect the change in the permittivity caused due to the change in muscle tension which is reflected through the S parameter graph that gives us the information to detect a seizure attack beforehand. The return loss of the antenna is improved - 27.596 dB by introducing the concept of substrate integrated waveguides. The antenna will be integrated into an embedded system design to enable it to function as a wearable device. Also, the SAR properties are analysed and optimized as per the FCC standards as it would be modelled as a wearable device. The antenna has been designed, simulated, and analysed using the ANSYS HFSS tool. Further, a comparative study on the various patch shapes, substrate materials, and SIWs was also made using ANSYS HFSS. © 2024 IEEE.

关键词： Wearable antennas

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Intelligent Sustainable Robot for Efficient Marine Environment Monitoring using Li-Fi Technology 17

Intelligent Sustainable Robot for Efficient Marine Environme...

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17th International Conference on Developments in eSystems engineering, DeSE 2024

作者： Fteiha, Bara Samer, Hala Almazrouei, Fatima Mohamed, Shouq Al-Zubaidi, Sultanah Riaz, Fahid Almajali, Eqab Hussain, Abir Jafar Yousaf, Jawad Electrical Computer and Biomedical Engineering Department Abu Dhabi University Abu Dhabi United Arab Emirates Mechanical Engineering Department Abu Dhabi University Abu Dhabi United Arab Emirates Department of Electrical Engineering University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9798350368697

This study presents the design and development of a light fidelity (Li-Fi) technology-based smart rover for sustainable monitoring of marine environments. A rover equipped with Li-Fi transmitters, receivers, and environmental monitoring sensors (pH and temperature) is designed for underwater navigation and environmental data collection. Data transmission between the rover (transmitter) and a receiver is achieved by aligning a laser and a photo-resistor in a direct line-of-sight configuration. The smart-designed rover has 6 degrees of freedom (DoF) movement capabilities, allowing it to continuously and effectively gather important marine environmental data using integrated sensors. The rover’s movements are controlled through an externally designed mobile application, which enhances operational flexibility. This application also offers real-time sensor data visualization, facilitating comprehensive data analysis and monitoring. The performance of the realized rover was tested in different environments using a commercial pool setup. The recorded readings of pH levels and temperature were in good agreement with the change in the water quality. Integrating Li-Fi technology into marine environment monitoring offers significant potential for revolutionizing underwater communication and advancing environmental sustainability. © 2024 IEEE.

关键词： Environmental monitoring

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MXene Nanosheets-Decorated Paper as a Green Electronics Material for Biosensing

ACS Measurement Science Au

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ACS Measurement Science Au 2024年第1期4卷 81-91页

作者： Yu, Shan-Chu Huang, Tzu-Yen Lin, Tzu-En Institute of Biomedical Engineering National Yang Ming Chiao Tung University Hsinchu 30010 Taiwan Kaohsiung Medical University Hospital Kaohsiung Medical University Kaoshiung 807378 Taiwan Department of Electrical and Computer Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu 30010 Taiwan

This research delves into the development and optimization of MXene nanosheet-based paper electrodes, emphasizing their adaptability in green electronics and diverse applications. Xuan paper, a cellulose-based material, was identified as an ideal substrate for its mechanical attributes and capacity to accommodate MXene, further yielding outstanding electrical conductivity. The MXene paper electrode demonstrated consistent performance under various conditions, showing its potential in the field of wearable electronics and medical devices. Notably, its impressive electrothermal capabilities and environmentally conscious decomposition mechanism make it a promising candidate for future green electronic applications. Overall, this study underscores the electrode’s harmonization of performance and environmental sustainability, paving the way for its integration into futuristic electronic solutions. © 2023 The Authors. Published by American Chemical Society.

关键词： electrothermal performance green electronics MXene nanosheets paper electrode sustainable design wearable devices Xuan paper

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Bioactive superparamagnetic iron oxide-gold nanoparticles regulated by a dynamic magnetic field induce neuronal Ca^(2+)influx and differentiation

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Bioactive Materials 2023年第8期26卷 478-489页

作者： Elias Georgas Muzhaozi Yuan Jingfan Chen Ya Wang Yi-Xian Qin Department of Biomedical Engineering The State University of New York at Stony BrookStony BrookNYUnited States J.Mike Walker’66 Department of Mechanical Engineering Texas A&M UniversityCollege StationTXUnited States Department of Biomedical Engineering Texas A&M UniversityCollege StationTXUnited States Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTXUnited States

Treating neurodegenerative diseases,e.g.,Alzheimer’s Disease,remains a significant challenge due to the limited neuroregeneration rate in the *** objective of this study is to evaluate the hypothesis that external magnetic field(MF)stimulation of nerve growth factor functionalized superparamagnetic iron oxide-gold(NGF-SPIO-Au)nanoparticles(NPs)can induce Ca^(2+)influx,membrane depolarization,and enhance neuron differentiation with dynamic MF(DMF)outperforming static MF(SMF)*** showed the that total intracellular Ca^(2+)influx of PC-12 cells was improved by 300%and 535%by the stimulation of DMF(1 Hz,0.5 T,30min)with NGF-SPIO-Au NPs compared to DMF alone and SMF with NGF-SPIO-Au NPs,respectively,which was attributed to successive membrane *** uptake performed with the application of sodium azide proved that DMF enhanced cellular uptake of NGF-SPIO-Au NPs via *** addition,DMF upregulated both the neural differentiation marker(β3-tubulin)and the cell adhesive molecule(integrin-β1)with the existence of NGF-SPIO-Au NPs,while SMF did not show these *** results imply that noninvasive DMF-stimulated NPs can regulate intracellular Ca^(2+)influx and enhance neuron differentiation and neuroregeneration rate.

关键词： Calcium influx Membrane potential Dynamic magnetic fields Neuroregeneration SPIO-Au Core-shell nanoparticles

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Temperature-Dependent Hydrogen Modulations of Ultra-Scaled a-IGZO Thin Film Transistor Under Gate Bias Stress

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2024年 5卷 9-16页

作者： Aslam, Muhammad Chang, Shu-Wei Chuang, Min-Hui Chen, Yi-Ho Lee, Yao-Jen Li, Yiming Parallel and Scientific Computing Laboratory National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Electrical Engineering and Computer Science International Graduate Program National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Electrical Engineering National Cheng Kung University Tainan701401 Taiwan Institute of Communications Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Graduate Degree Program of College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Institute of Pioneer Semiconductor Innovation National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Institute of Biomedical Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan

Recently, a-IGZO has advanced toward the next-generation electronics system because of its compatibility with complementary metal oxide semiconductor (CMOS) and back-end-of-line (BOEL) based systems. A systematic electrical characterization of a-IGZO TFT related to reliability issues, such as positive bias temperature stress (PBTS) and negative bias temperature stress (NBTS), would entitle its integration into novel electronics systems. Unexpectedly, PBTS is characterized by the transition of positive Vth shift to negative Vth shift (ΔVth, the positive shift followed by the stress and temperature activated negative shift). This transition is attributed to charge trapping/trap-site generations and hydrogen migration to the active layer. The ΔVth shift mechanism depends on the temperature and voltage stress. On the other hand, a negative ΔVth shift has been observed during the NBTS operation and could be attributed to the hole trapping at the interface of GI/IGZO. An effective suppression of the gate leakage current has also been observed during reliability tests. Simulation results reveal a pronounced potential at the edges of source and drain regions, and considered the origin of hydrogen migration into the IGZO layer. Thermal image results also reveal the strong temperature/potential distribution at the edges of the source/drain regions, indorsing the simulation results. © 2020 IEEE.

关键词： Oxide semiconductors

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