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Comparative study for different types of mppt algorithms using direct control method 1

2nd International Conference on electrical and Electronics engineering, ICEEE 2021

作者： Shams, Immad Mohammed, Karam Khairullah Mekhilef, Saad Tey, Kok Soon Power Electronics and Renewable Energy Research Laboratory Department of Electrical Engineering Faculty of Engineering Kuala Lumpur50603 Malaysia Control and Mechatronics Engineering Department School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru81310 Malaysia School of Software and Electrical Engineering Faculty of Science Engineering and Technology Swinburne University of Technology MelbourneVIC3122 Australia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur50603 Malaysia

ISBN: (数字)9789811607493

ISBN: (纸本)9789811607486

Maximum power point tracking (MPPT) controllers achieve higher importance due to the high expansion rate of photovoltaic systems. The probability of partial shading conditions (PSCs) is also increased which drastically reduced the maximum power extraction capability from PV systems. In this paper, different types of MPPT algorithms using direct control method have been examined under the same test conditions. The current research trend on MPPT controllers has also been highlighted. This paper gives a brief description to engineers and practitioners working in the area of MPPT controllers. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

关键词： Controllers

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Sculpting multipoles for the optical pulling force in an unstructured light beam

Sculpting multipoles for the optical pulling force in an uns...

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CLEO: Science and Innovations, S and I 2022

作者： Shi, Yuzhi Liu, Jingquan Liu, Ai Qun Tsai, Din Ping Qiu, Cheng-Wei Kivshar, Yuri National Key Laboratory of Science and Technology on Micro/Nano Fabrication Department of Micro/Nano Electronics Shanghai Jiao Tong University Shanghai200240 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Department of Electrical Engineering City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Nonlinear Physics Center Research School of Physics Australian National University CanberraACT2601 Australia

We study optical forces acting on a triangular dielectric prism illuminated by a circularly polarized light and suggest a novel approach for engineering optical pulling forces by employing multipolar modes of Mie-reso...

ISBN: (纸本)9781557528209

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Data engineering and AI-Powered Skin Cancer Identification for Healthcare Applications

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Procedia computer Science 2024年 246卷 179-188页

作者： Imran Ahmed Misbah Ahmad Abdellah Chehri Gwanggil Jeon School of Computing and Information Science Anglia Ruskin University Cambridge UK Animal and Agriculture Department Hartpury University Gloucester UK Centre for Machine Vision Bristol Robotics Laboratory University of the West of England Bristol UK Department of Mathematics and Computer Science at the Royal Military College of Canada (RMC) Canada Department of Embedded Systems Engineering Incheon National University Incheon Korea

Skin cancer diagnosis, a critical task in the medical domain, can be revolutionized through the application of advanced deep-learning techniques. This work investigates the efficacy of Convolutional Neural Networks (CNNs) in the automated classification of skin cancer. The process begins with a comprehensive explanation of key CNN layers: Conv2D, MaxPool2D, Dropout, and Dense. The Conv2D layers employ learnable filters that transform localized image segments, while MaxPool2D contributes to downsampling, effectively reducing computational cost and overfitting risk. Integrating these layers enables the network to capture local and global characteristics, which is crucial for accurate classification. Adding Dropout layers enhances generalization and mitigates overfitting by introducing randomness during training. ReLU activation functions infuse non-linearity, and the Flatten layer facilitates the transition to fully connected layers. The proposed CNN architecture is meticulously designed considering filter counts, kernel sizes, and pooling dimensions. The trained model demonstrates promising performance by utilizing the HAM10000 dataset, encompassing diverse skin lesion images across seven classes. The CNN model’s parameters and architecture are systematically presented, offering insights into its design rationale. The model undergoes optimization with the Adam optimizer and annealing techniques to facilitate convergence. The model’s effectiveness is evaluated on validation and test datasets, demonstrating an accuracy of 78.55% and 76.49%, respectively, for skin cancer classification. Data augmentation strategies are introduced to enhance model generalization further. The results underscore CNN’s potential as a robust tool for automating skin cancer diagnosis, aligning with the broader trend of leveraging deep learning for medical image analysis

关键词： Image Processing Medical Imaging Deep learning Skin Cancer Data Analytics

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Metalens-based stereoscopic microscope

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Photonics Research 2022年第6期10卷 1501-1508页

作者： YONG LONG JIANCHAO ZHANG ZHIHAO LIU WEIBIN FENG SONGMING GUO QIAN SUN QINFEI WU XIANGYANG YU JIANYING ZHOU EMILIANO RMARTINS HAOWEN LIANG JUNTAO LI State Key Laboratory of Optoelectronic Materials and Technologies School of PhysicsSun Yat-sen UniversityGuangzhou 510275China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519080China São Carlos School of Engineering Department of Electrical and Computer EngineeringUniversity of São PauloSão CarlosSP 13566-590Brazil

Stereoscopic microscopy is a promising technology to obtain three-dimensional microscopic *** microscopes are based on the parallax effect,and as such require two lenses to focus at two different *** constraints,however,restrict their numerical apertures to about 0.2,thus limiting the system’s *** numerical apertures(.35)can be achieved with designs using only one bulk lens,but such systems are0 times more costly than the conventional ***,there is a pressing need for alternative solutions to improve the resolution of stereoscopic ***,we show that high-resolution and low-cost stereoscopic systems can be obtained using birefringent single-layer *** design and fabricate a birefringent metalens operating at 532 nm with a numerical aperture as high as *** metalens is then used to demonstrate high-resolution stereoscopic imaging of biological *** microscopic images are further displayed and perceived vividly in an autostereoscopic *** demonstration paves the way to a new strategy to achieve high-resolution and low-cost stereoscopic microscopes.

关键词： resolution ens stereoscopic

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Hierarchy of multipartite correlations based on concentratable entanglement

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Physical Review Research 2024年第2期6卷 023019-023019页

作者： Louis Schatzki Guangkuo Liu M. Cerezo Eric Chitambar Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA and Illinois Quantum Information Science and Technology (IQUIST) Center University of Illinois Urbana-Champaign Urbana Illinois 61801 USA

Multipartite entanglement is one of the hallmarks of quantum mechanics and is central to quantum information processing. In this work we show that concentratable entanglement (CE), an operationally motivated entanglement measure, induces a hierarchy upon pure states from which different entanglement structures can be experimentally certified. In particular, we find that nearly all genuine multipartite entangled states can be verified through the CE. Interestingly, GHZ states prove to be far from maximally entangled according to this measure. Instead we find the exact maximal value and corresponding states for up to 18 qubits and show that these correspond to extremal quantum error correcting codes. The latter allows us to unravel a deep connection between CE and coding theory. Finally, our results also offer an alternative proof, on up to 31 qubits, that absolutely maximally entangled states do not exist.

关键词： Entanglement measures Quantum error correction Quantum formalism

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2 μm optical frequency comb generation via optical parametric oscillation from a lithium niobate optical superlattice box resonator

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Photonics Research 2022年第2期10卷 509-515页

作者： Xiaohan Wang Kunpeng Jia Mengwen Chen Shanshan Cheng Xin Ni Jian Guo Yihao Li Huaying Liu Liyun Hao Jian Ning Gang Zhao Xinjie Lv Shu-Wei Huang Zhenda Xie Shi-Ning Zhu National Laboratory of Solid State Microstructures School of Electronic Science and EngineeringSchool of PhysicsCollege of Engineering and Applied Sciencesand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China Department of Electrical Computer and Energy EngineeringUniversity of Colorado BoulderBoulderColorado 80309USA

Optical parametric oscillators(OPOs) can downconvert the pump laser to longer wavelengths with octave separation via χ^((2)), which is widely used for laser wavelength extension including mid-infrared(MIR) *** a process can be integrated in monolithic resonators, being compact and low in threshold. In this work, we show that the monolithic χ^((2))mini-OPO can also be used for optical frequency comb generation around 2096 nm and enters the boundary of MIR range. A new geometry called an optical superlattice box resonator is developed for this realization with near-material-limited quality factor of 4.0 × 10^(7). Only a continuous-wave near-infrared pump laser is required, with OPO threshold of 80 mW and output power up to 340 mW. Revival temporal profiles are measured at a detectable repetition frequency of 1.426 GHz, and narrow beat note linewidth of less than 10 Hz shows high comb coherence. These results are in good agreement with our simulation for a stable comb generation. Such an OPO-based comb source is useful for carbon dioxide sensing or the mine prospect applications and can be generalized to longer MIR wavelengths for general gas spectroscopy.

关键词： resonator optical pump

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Analysis, Control, and State Estimation for the Networked Competitive Multi-Virus SIR Model

arXiv

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arXiv 2023年

作者： Zhang, Ciyuan Gracy, Sebin Başar, Tamer Paré, Philip E. Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Electrical and Computer Engineering Department Rice University HoustonTX77005 United States Coordinated Science Laboratory The University of Illinois at Urbana-Champaign UrbanaIL61801 United States

This paper proposes a novel discrete-time multi-virus susceptible-infected-recovered (SIR) model that captures the spread of competing epidemics over a population network. First, we provide sufficient conditions for the infection level of all the viruses over the networked model to converge to zero in exponential time. Second, we propose an observation model which captures the summation of all the viruses’ infection levels in each node, which represents the individuals who are infected by different viruses but share similar symptoms. Third, we present a sufficient condition for the model to be strongly locally observable, assuming that the network has only infected or recovered individuals. Fourth, we propose a Luenberger observer for estimating the states of our system. We prove that the estimation error of our proposed estimator converges to zero asymptotically with the observer gain. Finally, we present a distributed feedback controller which guarantees that each virus dies out at an exponential rate. We then show via simulations that the estimation error of the Luenberger observer converges to zero before the viruses die out. Copyright © 2023, The Authors. All rights reserved.

关键词： Viruses

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Distributed robust fuzzy control for mixed-order multi-agent systems ensuring global consensus

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Science China Technological Sciences 2025年第7期68卷 1-11页

作者： Yang, Xiaoli Chen, Jiaxi Gao, Xinbo Ge, Shuzhi Sam Key Laboratory of Intelligent Analysis and Decision on Complex Systems School of Mathematics and Statistics Chongqing University of Posts and Telecommunications Chongqing China School of Mathematics and Statistics Xidian University Xi’an China School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore

This study investigates the global consensus problem of mixed-order multi-agent systems. Firstly, a control strategy based on switching functions is proposed to ensure the effective operation of fuzzy control in the fuzzy region. Secondly, the differential equation model satisfying the global Lipschitz condition is extended, and a more universal model framework is constructed. Furthermore, online learning laws with time-varying σ-modifications are introduced to effectively guarantee the global asymptotic convergence of the closed-loop multi-agent systems. Finally, the effectiveness of the proposed algorithm is validated through designed simulation experiments.

关键词： Multi agent systems

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Effect of Antenna Position Deviation of Large-scale Phased Array and its Compensation via Retro-reflective Beamforming for SSPS

Effect of Antenna Position Deviation of Large-scale Phased A...

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Wireless Power Week (WPW)

作者： Xin Wang Jialin Cao Huaiqing Zhang Xinbin Hou Mingyu Lu School of Electrical Engineering Chongqing University Chongqing China School of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing China Department of Electrical and Computer Engineering West Virginia University Institute of Technology Beckley West Virginia USA

ISBN: (数字)9798350349139

ISBN: (纸本)9798350349146

The effect of antenna position deviations on the beamforming performance of large-scale phased arrays are modeled and simulated for microwave power transmission (MPT). Near-field effects are included in the modeling, so that accurate simulation results can be obtained in the application scenarios of space solar power station (SSPS). Method of calculating field distribution of the microwave power beam over the receiving aperture with typical deformation of the transmitting aperture as well as random position deviation of the antenna modules is developed. Based on the method, numerical results are provided to demonstrate the retro-reflective beamforming performance in compensating the effect of antenna position deviations in a typical SSPS MPT system.

关键词： Phased arrays Wireless communication Array signal processing Simulation Transmitting antennas Space power stations Power transmission

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Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory

arXiv

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arXiv 2024年

作者： Feng, Yuan Zhao, Chuanbing Gao, Feifei Zhang, Yong Ma, Shaodan Department of Automation Tsinghua University Beijing100084 China Beijing100084 China School of Electronic and Information Engineering Beijing Jiaotong University 100044 China State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering University of Macau China

In this paper, we propose an environment sensingaided beam prediction model for smart factory that can be transferred from given environments to a new environment. In particular, we first design a pre-training model that predicts the optimal beam by sensing the present environmental information. When encountering a new environment, it generally requires collecting a large amount of new training data to retrain the model, whose cost severely impedes the application of the designed pre-training model. Therefore, we next design a transfer learning strategy that fine-tunes the pre-trained model by limited labeled data of the new environment. Simulation results show that when the pre-trained model is fine-tuned by 30% of labeled data from the new environment, the Top-10 beam prediction accuracy reaches 94%. Moreover, compared with the way to completely re-training the prediction model, the amount of training data and the time cost of the proposed transfer learning strategy reduce 70% and 75% respectively. Copyright © 2024, The Authors. All rights reserved.

关键词： Forecasting

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