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electrically tunable planar liquid-crystal singlets for simultaneous spectrometry and imaging

Light(Science & Applications) 2024年第11期13卷 2589-2598页

作者： Zhou Zhou Yiheng Zhang Yingxin Xie Tian Huang Zile Li Peng Chen Yan-qing Lu Shaohua Yu Shuang Zhang Guoxing Zheng Electronic Information School and School of MicroelectronicsWuhan UniversityWuhan 430072China NUS Graduate School National University of SingaporeSingapore 119077Singapore Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and Manipulationand College of Engineering and Applied SciencesNanjing UniversityNanjing 210093China Peng Cheng Laboratory Shenzhen 518055China New Cornerstone Science Laboratory Department of PhysicsUniversity of Hong KongHong KongChina Department of Electrical and Electronic Engineering University of Hong KongHong KongChina Wuhan Institute of Quantum Technology Wuhan 430206China

Conventional hyperspectral cameras cascade lenses and spectrometers to acquire the spectral datacube,which forms the fundamental framework for hyperspectral ***,this cascading framework involves tradeoffs among spectral and imaging performances when the system is driven toward ***,we propose a spectral singlet lens that unifies optical imaging and computational spectrometry functions,enabling the creation of minimalist,miniaturized and high-performance hyperspectral *** a paradigm,we capitalize on planar liquid crystal optics to implement the proposed framework,with each liquid-crystal unit cell acting as both phase modulator and electrically tunable spectral *** with various targets show that the resulting millimeter-scale hyperspectral camera exhibits both high spectral fidelity(>95%)and high spatial resolutions(~1.7 times the diffraction limit).The proposed“two-in-one”framework can resolve the conflicts between spectral and imaging resolutions,which paves a practical pathway for advancing hyperspectral imaging systems toward miniaturization and portable applications.

关键词： crystal planar singlet

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Aerodynamic Effects Compensation on Multi-Rotor UAVs Based on a Neural Network Control Allocation Approach

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IEEE/CAA Journal of Automatica Sinica 2022年第2期9卷 295-312页

作者： Sarah P.Madruga Augusto H.B.M.Tavares Saulo O.D.Luiz Tiago P.do Nascimento Antonio Marcus N.Lima Graduate Program of Electrical Engineering Universidade Federal de Campina GrandeCampina Grande-PBBrazil Department of Electrical Engineering Universidade Federal de Campina GrandeCampina Grande-PBBrazil IEEE Department of Computer Systems Universidade Federal da ParaibaJoao Pessoa-PBBrazil

This paper shows that the aerodynamic effects can be compensated in a quadrotor system by means of a control allocation approach using neural ***,the system performance can be improved by replacing the classic allocation matrix,without using the aerodynamic inflow equations *** network training is performed offline,which requires low computational *** target system is a Parrot MAMBO drone whose flight control is composed of PD-PID controllers followed by the proposed neural network control allocation *** a quadrotor is particularly susceptible to the aerodynamics effects of interest to this work,because of its small *** compared the mechanical torques commanded by the flight controller,i.e.,the control input,to those actually generated by the actuators and established at the *** was observed that the proposed neural network was able to closely match them,while the classic allocation matrix could not achieve *** allocation error was also determined in both ***,the closed-loop performance also improved with the use of the proposed neural network control allocation,as well as the quality of the thrust and torque signals,in which we perceived a much less noisy behavior.

关键词： Aerodynamics effects control allocation minidrone multi-rotor UAV neural networks

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Enhancing Quality Control: Defect State Classification of Taralli Biscuits with MobileNet-v2 and DenseNet-201 12

Enhancing Quality Control: Defect State Classification of Ta...

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12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2023

作者： Tutuncu, Kemal Yasin, Elham Tahsin Koklu, Murat Selcuk University Department of Electrical & Electronic Engineering Konya Turkey Graduate School of Natural and Applied Sciences Computer Engineering Selcuk University Konya Turkey Selcuk University Department of Computer Engineering Konya Turkey

ISBN: (纸本)9798350358056

Industrial production and packaging face significant challenges, such as product damage, color changes, and the presence of foreign bodies. These issues greatly impact product quality, profitability, and marketability, leading to increased consumer complaints. To address these concerns, this study presents a novel method for classifying Taralli biscuits using image processing techniques. The research encompasses a dataset of 4,900 images, featuring four types of defects: no defect, defect-shape, defect-object, and defect-color. Leveraging advanced deep learning architectures, including MobileNet-v2 and DenseNet-201, the classification process achieves impressive accuracy rates of 98.71% and 99.39% respectively. By automating the detection of biscuit damage, the proposed method enhances quality control and inspection processes within the food industry. The combination of state-of-the-art image processing and deep learning techniques in this research provides an effective solution for automatically detecting and categorizing biscuit defects. © 2023 IEEE.

关键词： biscuits classification deep learning defect states DenseNet-201 MobileNet-v2

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Homogenization Technique of Magnetostriction Calculation in Laminated Iron Core 26

Homogenization Technique of Magnetostriction Calculation in ...

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26th International Conference on electrical Machines and Systems, ICEMS 2023

作者： Gao, Yanhui Fujita, Hiroki Guan, Weimin Muramatsu, Kazuhiro Oita University Intelligent Mechanical Systems Program Oita Japan Wuhan University School of Electrical Engineering and Automation Wuhan China Saga University Department of Electrical and Electronic Engineering Saga Japan

ISBN: (纸本)9798350317589

Accurate displacement calculation in the laminated iron cores of electric machines is important for the accurate prediction of noise generation in the electric machines. The authors proposed a modeling method of displacements due to magnetostriction in the laminated iron core using a homogenization model with equivalent anisotropic magnetic and elastic parameters. The calculated displacements obtained from the homogenization model are compared with those of the real laminated iron core model, and the solid core model neglecting the laminated structure. The homogenization model shows good agreement with the real model. © 2023 IEEE.

关键词： Iron

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Optimized Transform Entropy Decoding Architecture for VDC-M

Optimized Transform Entropy Decoding Architecture for VDC-M

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2024 International Conference on electronics, Information, and Communication, ICEIC 2024

作者： Kim, Saeyeon Kim, Sohyeon Yang, Hannah Roh, Heejin Lee, Jiyoung Kim, Ji-Hoon Ewha Womans University Department of Electronic and Electrical Engineering Seoul Korea Republic of Ewha Womans University Smart Factory Multidisciplinary Program Seoul Korea Republic of

ISBN: (纸本)9798350371888

The importance of video compression technology is highly emphasized according to the advancement of display technology which plays a crucial role in many industries. Video compression technology is important in the aspect of reducing bandwidth usage, optimizing storage space, and enhancing the efficiency of data transmission. Video electronics Standards Association (VESA) Display Compression-M (VDC-M) video compression standard [1], as released by the VESA, shows high compression ratio and high performance. In this paper, we propose a hardware architecture for transform entropy decoding which supports the VDC-M standard. It can extract and align quantized coefficients which are transmitted from encoder to decoder for reconstruction. The utilization of optimized entropy coding techniques enhances the overall performance, making the proposed hardware architecture contribute to advanced video compression in modern display technologies. © 2024 IEEE.

关键词： Image compression

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Output Performance Evaluation of Modified Electrodes for Microbial Batteries 5

Output Performance Evaluation of Modified Electrodes for Mic...

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5th IEEE Eurasia Conference on IOT, Communication and engineering, ECICE 2023

作者： Ishibashi, Daikaku Tojo, Tomohiro Shizuoka Institute of Science and Technology Graduate School of Science and Engineering Department of System Engineering Shizuoka Japan Shizuoka Institute of Science and Technology Faculty of Science and Technology Department of Electrical and Electronic Engineering Shizuoka Japan

ISBN: (纸本)9798350314694

Recently, microbial batteries have attracted attention as a new power generation method. A microbial battery obtains power from the action of power-generating bacteria and generates power without electrochemical reactions or electrical conversion using solar or wind energy. Since it obtains electricity from the soil, it generates electricity regardless of the weather and does not emit harmful substances. However, currently available microbial batteries generate only a small amount of electric energy, and there are many problems in the operation of mobile batteries and small sensors. In addition, although research on power-generating bacteria and the improvement of electrode materials are progressing, there are currently few reports that combine electrodes and electricity-generating bacteria as microbial batteries. In this study, we produced a microbial battery to charge smartphones, laptop computers, and electric vehicles by extracting power from the soil under circumstances where it is difficult to secure a power source such as a disaster. Therefore, after confirming that it is possible to generate electricity with familiar soil, we explored the conditions for the improvement of power generation efficiency. In particular, we modified the electrodes so that power-generating bacteria could efficiently decompose organic molecules in soil and convert them into electrical energy. To evaluate the performance of the microbial battery, we applied the diffusion equation used to determine the reaction rate of lithium-ion batteries. © 2023 IEEE.

关键词： Diffusion Equation Microbial Batteries Output Performance Reaction Rate

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Advancing Al-doped ZnO thin films structural,optical and electrical properties of low temperature PET substrates via flash lamp annealing

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Journal of Semiconductors 2024年第12期45卷 47-60页

作者： Juwon Lee Chang-Hyeon Jo Gwangseop Lee Min-Sung Bae Slawomir Prucnal Shengqiang Zhou Muhammad Zubair Khan Osama Gohar Mohsin Saleem Jung-Hyuk Koh Graduate School of Intelligent Energy and Industry Chung-Ang UniversityHeukseok-roSeoulRepublic of Korea School of Electrical and Electronic Engineering Chung-Ang UniversitySeoulRepublic of Korea Helmholtz-Zentrum Dresden-Rossendorf Institute of Ion Beam Physics and Materials ResearchBautzner Landstraße 40001328DresdenGermany Department of Materials Science and Engineering Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyMangHaripur22621Khyber PakhtunkhwaPakistan Department of Mechanical and Electrical Systems Engineering Graduate School of EngineeringKyoto University of Advanced ScienceGotanda-choYamanouchiUkyo-kuKyoto 615-8577Japan School of Chemical and Materials Engineering(SCME) National University of Sciences&Technology(NUST)H-12Islamabad 44000Pakistan

In this study, aluminum-doped zinc oxide(AZO) thin films were deposited onto a low-temperature polyethylene terephthalate(PET) substrate using DC magnetron sputtering. Deposition parameters included power range of 100-300 W, a working pressure of 15 mTorr, and a substrate temperature of 50 ℃. Post-deposition, flash lamp annealing(FLA) was employed as a rapid thermal processing method with a pulse duration of 1.7 ms and energy density of 7 J·cm-2, aimed at enhancing the film's quality while preserving the temperature-sensitive PET substrate. FLA offers advantages over conventional annealing,including shorter processing times and improved material properties. The structural, optical, and electrical characteristics of the AZO films were assessed using X-ray diffraction, field emission scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy, ultraviolet-visible spectroscopy, and Hall effect measurements. The results demonstrated that properties of AZO films varied with deposition and annealing conditions. Films deposited at 200 W and subjected to FLA exhibited superior crystallinity, with average visible light transmittance exceeding 80% and resistivity as low as 0.38 Ω·cm representing 95%improvement in transmittance. electrical analysis revealed that carrier concentration, mobility, and resistivity were influenced by both sputtering and annealing parameters. These findings underscore the effectiveness of FLA in optimizing AZO thin film properties, highlighting potential in optoelectronics applications.

关键词： flash lamp annealing AZO thin film PET sputtering

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A Physical-Based Artificial Neural Networks Compact Modeling Framework for Emerging FETs

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IEEE Transactions on Electron Devices 2024年第1期71卷 223-230页

作者： Yang, Ya-Shu Li, Yiming Kola, Sekhar Reddy Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory The Institute of Communications Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Institute of Communications Engineering Institute of Biomedical Engineering Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan

We report a compact modeling framework based on the Grove-Frohman (GF) model and artificial neural networks (ANNs) for emerging gate-all-around (GAA) MOSFETs. The framework consists of two ANNs;the first ANN constructed with the drain current model not only can capture the main trend of device I - V characteristics but also can predict its variation even when the amount of training data for the ANN is insufficient or outside the range of applied biases. The second one is then designed to improve the model accuracy by further minimizing the errors between the target and the model outputs. We implement the proposed framework to accurately model emerging GAA nanosheet (NS) MOSFETs and complementary FETs (CFETs) without suffering from divergent issues in circuit simulation. In addition, nonphysical behaviors, such as nonzero current at zero bias, do not occur in the modeling framework. Compared to recently reported machine-learning (ML) models, our approach can achieve a similar level of model accuracy with merely 20% amount of the training data. © 1963-2012 IEEE.

关键词： Neural networks

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Effect of Yttrium Treatment on Germanium-Oxide-Based Interfacial Layer of Ge P-Channel Metal–Oxide–Semiconductor Field-Effect Transistor Fabricated Through In Situ Plasma-Enhanced Atomic Layer Deposition

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IEEE Transactions on Electron Devices 2024年第3期71卷 1-6页

作者： Li, Hui-Hsuan Lin, Kuan-Yu Tsai, Yi-He Lin, Yu-Hsien Chien, Chao-Hsin Institute of Electronics National Yang Ming Chiao Tung University Hsinchu Taiwan Graduate Program for Nanotechnology Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Electronic Engineering National United University Miaoli Taiwan

This study investigated the effect of yttrium (Y) treatment on a germanium (Ge)-oxide-based interfacial layer (IL) through in situ plasma-enhanced atomic layer deposition (PEALD). Time-of-flight secondary-ion mass spectrometry revealed that the surface reaction and deposition could be successfully performed with a Y precursor, and X-ray photoelectron spectroscopy (XPS) revealed that Y treatment on an IL can suppress GeO

$_{\text{x}}$

volatilization. A metal–oxide–semiconductor capacitor gate-stack with a Y-GeO

$_{\text{x}}$

IL has a low leakage current density (2.1

$\times$

$^{-\text{5}}$

A/cm

$^{\text{2}}$

) and a low interface trap density (approximately 5.5

$\times$

$^{\text{11}}$

$^{-\text{1}}$

$^{-\text{2}}$

) under optimized temperatures. Moreover, the Ge P-channel metal–oxide–semiconductor field-effect transistor (P-MOSFET) containing a gate-stack with a Y-treated Ge-oxide-based IL exhibited a high I

$_{\biosc{on}}$

$_{\biosc{off}}$

ratio and low OFF-state current. Therefore, applying the proposed Y treatment on the IL of a Ge P-MOSFET can help achieve a subnanometer equivalent oxide thickness (EOT) and an

关键词： Ge-oxide-based germanium germanium oxide (GeOx) in situ interfacial layer (IL) plasma-enhanced atomic layer deposition (PEALD) Y-GeOx yttrium

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A Developed PLL Control Technique for Distorted and Unbalanced Grid Voltages with a Three-Level NPC Converter-Based Off-Board Battery Charger

A Developed PLL Control Technique for Distorted and Unbalanc...

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2022 International electrical engineering Congress, iEECON 2022

作者： Thanakam, Thidarat Kumsuwan, Yuttana Chiang Mai University Graduate Program in Electrical Engineering Department of Electrical Engineering Faculty of Engineering Chiang Mai Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand

ISBN: (纸本)9781665402064

As electric vehicle technologies advance, the number of off-board battery charger stations grows. Because they can provide a high-power level that is suitable for fast charging. The main factor of high-power transferring is power converters that should serve the grid power quality, including the reactive power, the power factor, and the harmonic distortion. In this paper, the development of the control algorithm for the three-phase three-level neutral point clamped converter-based off-board battery charger to support the utility grid when the three-phase grid voltage distortion or unbalance occurs is presented. By applying the standard phase-locked loop controller into the conventional control algorithm, it is possible to obtain more sinusoidal and balanced grid currents along with distorted or unbalanced grid voltages to conserve the grid power quality. The system operations, along with the comparison of the conventional control algorithm and the proposed algorithm, are provided in the simulation results. © 2022 IEEE.

关键词： Charging (batteries)

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