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2023 International Conference on Clean electrical Power, ICCEP 2023

作者： Sciuto, Grazia Lo Linde, Sivan Shikler, Rafi Kowol, Pawel Coco, Salvo Capizzi, Giacomo Silesian University of Technology Department of Mechatronics Gliwice Poland Ben-Gurion University of the Negev School of Electrical and Computer Engineering Optoelectronic Organic Semiconductor Devices Laboratory Department of Electrical and Computer Engineering Beer-Sheva Israel Ben-Gurion University of the Negev Ilse Katz Institute for Nanoscale Science and Technology Beer-Sheva Israel University of Catania Department of Electrical Electronics and Informatics Engineering Catania Italy

ISBN: (纸本)9798350348378

In this paper the problem of automatic defects detection in thin film transistor is considered in order to increase the efficiency of electronic devices. An effective approach based on defect pattern recognition in organic transistor is developed using the Radon transform. The adopted design and technology in Pentacene organic thin-film transistor exhibits two interdigitated Archimedean spirals pattern. In the conducted experiments, the images acquisition is performed with a microscope camera to capture the various defects of surface morphology on the top of the examined transistors. The defects detection is obtained by using the Radon transform on each channel (R,G,B) of these images. © 2023 IEEE.

关键词： Thin film transistors

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Stochastic process-based degradation modeling and RUL prediction: from Brownian motion to fractional Brownian motion

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science China(Information sciences) 2021年第7期64卷 5-24页

作者： Hanwen ZHANG Maoyin CHEN Jun SHANG Chunjie YANG Youxian SUN School of Automation and Electrical Engineering University of Science and Technology Beijing State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University Department of Automation Tsinghua University School of Automation and Electrical Engineering Linyi University Department of Electrical and Computer Engineering University of Alberta

Brownian motion(BM) has been widely used for degradation modeling and remaining useful life(RUL) prediction, but it is essentially Markovian. This implies that the future state in a BM-based degradation process relies only on its current state, independent of the past states. However, some practical industrial devices such as Li-ion batteries, ball bearings, turbofans, and blast furnace walls show degradations with long-range dependence(LRD), where the future degradation states depend on both the current and past degradation states. This type of degradation naturally brings two interesting problems, that is, how to model the degradations and how to predict their RULs. Recently, in contrast to the work that uses only BM, fractional Brownian motion(FBM) is introduced to model practical degradations. The most important feature of the FBM-based degradation models is the ability to characterize the non-Markovian degradations with LRD. Although FBM is an extension of BM, it is neither a Markovian process nor a semimartingale. Therefore, how to obtain the first passage time of an FBM-based degradation process has become a challenging task. In this paper, a review of the transition of RUL prediction from BM to FBM is provided. The peculiarities of FBM when addressing the LRD inherent in some practical degradations are discussed. We first review the BM-based degradation models of the past few decades and then give details regarding the evolution of FBM-based research. Interestingly, the existing BM-based models scarcely consider the effect of LRD on the prediction of RULs. Two practical cases illustrate that the newly developed FBMbased models are more generalized and suitable for predicting RULs than the BM-based models, especially for degradations with LRD. Along with the direction of FBM-based RUL prediction, we also introduce some important and interesting problems that require further study.

关键词： remaining useful life degradation model Brownian motion fractional Brownian motion long-range dependence

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A Detailed Analysis of the Critical Role of artificial intelligence in Enabling High-Performance Cloud Computing Systems 2

A Detailed Analysis of the Critical Role of artificial intel...

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2nd International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2022

作者： Ahamad, Shahanawaj Mohseni, Milad Shekher, Vineet Smaisim, Ghassan Fadhil Tripathi, Amrendra Alanya-Beltran, Joel College of Computer Science and Engineering University of Hail Saudi Arabia Degree in Computer Architecture Computer Tabriz Iran Bit Sindri Electrical Engineering Department Dhanbad India University of Kufa Faculty of Engineering Department of Mechanical Engineering Iraq Faculty of Engineering Iraq School of Computer Science Upes Dehradun India Universidad Tecnológica del Perú Electronic Department Peru

ISBN: (数字)9781665437899

ISBN: (纸本)9781665437899

Cloud computing reflects effective delivery of computing services such as software, storage purposes, analytics, intelligence and many others. Besides that, it also offers faster innovation and at the same time flexible resources. In an organisation, a cloud computing system provides tight security of data with a low maintenance cost. A huge collaboration has been seen between various industries through cloud systems. Those all processes have been boosted up by the implementation of AI. Incorporation of AI by those industries hugely influences the efficiency rate of cloud computing techniques and due to this reason, the combined effect of those two technologies brings up huge profitability to those organisations. Implementation of machine learning models, as well as cognitive computing, increases the performance of cloud systems. In addition to this, a lot of benefits have been seen when organisations incorporate AI in cloud computing techniques. This paper contains a detailed introduction part along with a well informative literature review. A research methodology also has been provided where three research questions are mentioned. The data analysis part comprises a multi regression analysis where the independent variables are years and percentage of usage of AI in various organisations. The dependent variable is profitability. A critical discussion part also has been presented and a conclusion has also been provided with a few recommendations. © 2022 IEEE.

关键词： Cost effectiveness

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A dual-mode image sensor using an all-inorganic perovskite nanowire array for standard and neuromorphic imaging

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Journal of Semiconductors 2023年第9期44卷 75-82页

作者： Zhenghao Long Yucheng Ding Xiao Qiu Yu Zhou Shivam Kumar Zhiyong Fan Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyClear Water BayKowloonHong Kong SARChina State Key Laboratory of Advanced Displays and Optoelectronics Technologies HKUSTClear Water BayKowloonHong Kong SARChina Department of Chemical and Biological Engineering The Hong Kong University of Science and TechnologyClear Water BayKowloonHong Kong SARChina Shanghai Artificial Intelligence Laboratory Shanghai 200232China

The high-density,vertically aligned retinal neuron array provides effective vision,a feature we aim to replicate with electronic ***,the conventional complementary metal-oxide-semiconductor(CMOS)image sensor,based on separate designs for sensing,memory,and processing units,limits its integration ***,redundant signal communication significantly increases energy *** neuromorphic devices integrating sensing and signal processing show promise in various computer vision applications,but there is still a need for frame-based imaging with good *** this study,we developed a dual-mode image sensor based on a high-density all-inorganic perovskite nanowire *** device can switch between frame-based standard imaging mode and neuromorphic imaging mode by applying different *** unique bias-dependent photo response is based on a well-designed energy band *** biomimetic alignment of nanowires ensures the potential for high-resolution *** further demonstrate the imaging ability,we conducted pattern reconstruction in both modes with a 10×10 crossbar *** study introduces a novel image sensor with high compatibility and efficiency,suitable for various applications including computer vision,surveillance,and robotics.

关键词： mode image inorganic

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Implementation of a low-code monitoring system for solid oxide fuel cells 4

Implementation of a low-code monitoring system for solid oxi...

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4th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023

作者： Sun, BenBen Guan, WanBing Wang, JianXin Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Key Laboratory of Advanced Fuel Cells and Electrolyzers Cell Technology of Zhejiang Province Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo China

ISBN: (纸本)9781510666412

Solid oxide fuel cells (SOFCs) have the advantages of high conversion efficiency, low working noise, and environmental protection. Thus, they are widely used in large-scale power generation, combined heat power, peak load-regulating energy storage, and other fields. In the actual working process of SOFCs, the battery performance will decline sharply due to extreme conditions such as overtemperature and peroxide, and the service life will be terminated. Remote monitoring of fuel cells can detect problems in time and restore the battery’s performance by restoring the battery, thereby extending its service life. The data generated by fuel cells during operation have a strong temporal correlation. To discover the future state of fuel cells in time and solve the problem that a large number of codes are needed for monitoring, this paper designs a remote monitoring system of fuel cells with low-code based on Node-RED and Ali Cloud. The output current of fuel cells is predicted by using the improved back propagation neural network based on Levenberg-Marguardt (LM-BPNN) algorithm. The test result of LM-BPNN shows that the test samples have a root mean square error of 0.172, a mean absolute percentage error of 3.85%, and a coefficient of determination of 0.998. © 2023 SPIE.

关键词： Digital storage

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Development of High-Power Bidirectional DC Solid-State Power Controller for Aircraft Applications

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IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS 2022年第5期10卷 5498-5508页

作者： Dong, Zhou Ren, Ren Wang, Fei Department of Electrical Engineering and Computer Science The University of Tennessee Knoxville TN USA Monolithic Power System Inc. San Jose CA USA Oak Ridge National Laboratory Oak Ridge TN USA

The high-power solid-state power controller (SSPC) will be a critical component for the future electrified aircraft propulsion system. This article presents the development of a 1 kV 500 A bidirectional dc SSPC using SiC power modules and transient voltage suppression (TVS) diodes. The design procedure and implementation of the SSPC are presented in detail and the system level influence is discussed. Due to the limited power of a single switch, parallel and/or series connections of switches are necessary for high-power SSPCs, and the corresponding challenges are investigated with possible solutions. In addition, the high peak-to-average clamping voltage ratio caused by Ldi/dt of the turn-off current commutation and foldback characteristics of high-power TVS diodes is addressed. Finally, the testing setups for the high-power SSPC are presented, and all key functions are tested for the SSPC. The power rating and the specific power of the developed SSPC are superior to state-of-the-art counterparts to show the advantage of the developed one.

关键词： Switches Diodes Voltage Transient analysis Absorption Multichip modules Cable TV Electrified aircraft SiC power module solid-state circuit breaker solid-state power controller TVS diode

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High-Value Target Escort and Defense Scenario with Differential Subgame Cost 63

High-Value Target Escort and Defense Scenario with Different...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Judy, Rachael L. Fuchs, Zachariah E. Casbeer, David W. University of Cincinnati Department of Electrical Engineering and Computer Science CincinnatiOH United States Control Science Center of Excellence Air Force Research Laboratory 2210 8th St. WPAFBOH45433 United States

ISBN: (纸本)9798350316339

An Escort and Defense Scenario is presented in which a high-value Target maneuvers through a high-risk region while being escorted by a mobile, defensive agent. Along this trajectory, an Attacker may be launched from one of several possible launch locations. If a launch occurs, the three agents play out a Target-Attacker-Defender (TAD) differential game in which the Defender attempts to intercept the Attacker at maximal distance from the Target while the Attacker strives to maneuver as close as possible to the Target. Prior to launch, the Target and Defender strive to preposition themselves in advantageous positions to effectively respond to a potential threat while simultaneously moving towards a safety region. An augmented collocation-based direct optimal control method is developed to solve the escort problem by solving and utilizing the value of the TAD differential subgame at each collocation point while simultaneously optimizing the primary optimal control problem. © 2024 IEEE.

关键词： Optimal control systems

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Zero-Change CMOS Nanophotonics: Converting Foundry Semiconductor Chips to Plasmonic Electro-optic Modulators

Zero-Change CMOS Nanophotonics: Converting Foundry Semicondu...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： ElKabbash, Mohamed Harris, Isaac Trajtenberg-Mills, Sivan Bandyopadhyay, Saumil Chen, Xibi Ibrahim, Mohamed I. Han, Ruonan Englund, Dirk Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States

We create nanophotonic devices using CMOS foundry processes where the top metal layers exhibit a plasmonic resonance. By integrating liquid crystals and applying a bias, we measure a 20 nm resonance shift at -700 nm. ... 详细信息

ISBN: (纸本)9781957171258

关键词： Liquid crystals

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Class-specific Prompts in Vision Transformer for Continual Learning of New Diseases

Class-specific Prompts in Vision Transformer for Continual L...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Zhao, Defeng Ye, Zejun Zheng, Wei-Shi Wang, Ruixuan Sun Yat-sen University School of Computer Science and Engineering Guangzhou China Peng Cheng Laboratory Department of Network Intelligence Shenzhen China Moe Key Laboratory of Machine Intelligence and Advanced Computing China

ISBN: (纸本)9798350337488

Current intelligent diagnosis systems are often trained to diagnose a small number of diseases and lack the ability of continually learning new disease knowledge. To have such continual learning ability, the deployed intelligent system needs to be continually updated based on training data of only new diseases, without accessing old data of previously learned diseases due to privacy concerns and challenges in data sharing across medical centers. In this study, a novel and effective prompt learning strategy is proposed to help a pretrained and fixed Vision Transformer (ViT) continually learn new diseases. In particular, a set of unique prompts for each disease are effectively learned such that discriminative disease features can be well extracted from the fixed ViT under the instructions of prompts during feature extraction, even though the ViT feature extractor is pretrained in the natural image domain. Extensive empirical evaluations on two medical image datasets and one natural image dataset demonstrate the superior performance of the proposed method. The source code is available at https://***/zhaoedf/CSPrompt. © 2023 IEEE.

关键词： Continual learning Disease diagnosis Prompt learning

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Directional emission of a readout resonator for qubit measurement

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Physical Review Applied 2024年第3期22卷 034035页

作者： Alec Yen Yufeng Ye Kaidong Peng Jennifer Wang Gregory Cunningham Michael Gingras Bethany M. Niedzielski Hannah Stickler Kyle Serniak Mollie E. Schwartz Kevin P. O’Brien Department of Electrical Engineering and Computer Science Research Laboratory of Electronics Harvard John A. Paulson School of Engineering and Applied Sciences Lexington Massachusetts 02421 USA

We propose and demonstrate transmission-based dispersive readout of a superconducting qubit using an all-pass resonator, which preferentially emits readout photons toward the output. This is in contrast to typical readout schemes, which intentionally mismatch the feedline at one end so that the readout signal preferentially decays toward the output. We show that this intentional mismatch creates scaling challenges, including larger spread of effective resonator linewidths due to nonideal impedance environments and added infrastructure for impedance matching. A future architecture using multiplexed all-pass readout resonators would avoid the need for intentional mismatch and potentially improve the scaling prospects of quantum computers. As a proof-of-concept demonstration of “all-pass readout,” we design and fabricate an all-pass readout resonator that demonstrates insertion loss below 1.17 dB at the readout frequency and a maximum insertion loss of 1.53 dB across its full bandwidth for the lowest three states of a transmon qubit. We demonstrate qubit readout with an average single-shot fidelity of 98.1% in 600 ns; to assess the effect of larger dispersive shift, we implement a shelving protocol and achieve a fidelity of 99.0% in 300 ns.

关键词： Circuit quantum electrodynamics Optoelectronics Quantum error correction Quantum information with solid state qubits Quantum measurements Superconducting quantum optics Superconducting devices Microwave techniques

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