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Machine Learning Method for the Diagnosis of Retinal Diseases using Convolutional Neural Network

Machine Learning Method for the Diagnosis of Retinal Disease...

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2023 International Conference on Data Science, Agents and Artificial Intelligence, ICDSAAI 2023

作者： Kushwaha, Sumit Boga, Jayaram Rao, Bairaboina Sai Sambasiva Taqui, Syed Noeman Vidhya, R.G. Surendiran, J. University Institute of Computing Chandigarh University Department of Computer Applications Punjab India Marri Laxman Reddy Institute of Technology and Management Department of Computer Science and Data Science Telangana Hyderabad India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Vaddeswaram India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Vlsi Microelectronics Tamil Nadu Chennai India Hkbk College of Engineering Department of Ece Bangalore India

ISBN: (纸本)9798350348910

The early diagnosis of visual problems such as diabetic retinopathy and glaucoma relies on the successful completion of medical image processing tasks such as the segmentation of retinal blood vessels. The process of isolating retinal blood vessels from images of the retinal fundus is a challenging one because of the similarities in intensity that exist between blood vessels and the surrounding tissues. In addition, there are differences in the size, shape, and intensity of the vessels. In recent times, a number of different algorithms based on deep learning have been presented for the segmentation of retinal blood vessels. These techniques have been shown to be more accurate and dependable when compared to the traditional computer vision methods that have been used. In this abstract, we present the U-Net deep learning model as well as a technique for segmenting retinal blood vessels that is based on the programming language Python. A U-Net model is trained using a series of retinal fundus images so that the features of retinal blood vessels may be comprehended. As part of the inference process, the image of the retinal fundus is loaded into a trained version of the U-Net model. This model then generates a probability map that illustrates the chance that each pixel represents an artery in the human body. The final segmentation is produced by applying a threshold to the probability map. When it comes to the process of segmenting retinal blood vessels, our python-based solution outperforms methods that are considered to be state-of-the-art in studies comparing accuracy and speed. The scientific and medical communities have unrestricted access to the software that may be used to put the suggested strategy into action since it is an open-source initiative. In conclusion, the python-based approach for retinal blood vessel segmentation that makes use of U-Net provides a potentially helpful solution for identifying retinal illnesses and has the potential to serve as a stan

关键词： Python

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NVSRLO: A FeFET-Based Non-Volatile and SEU-Recoverable Latch Design with Optimized Overhead

NVSRLO: A FeFET-Based Non-Volatile and SEU-Recoverable Latch...

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2025 Design, Automation and Test in Europe Conference, DATE 2025

作者： Yan, Aibin Jiang, Wangjin Bao, Han Huang, Zhengfeng Ni, Tianming Wen, Xiaoqing Girard, Patrick School of Microelectronics Hefei University of Technology Hefei China School of Integrated Circuits Anhui Polytechnic University Wuhu China Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan Lirmm University of Montpellier Cnrs Montpellier France

ISBN: (纸本)9783982674100

This paper presents a FeFET-based non-volatile and single-event upset (SEU) recoverable latch, namely NVSRLO, which does not require any extra control signals. Simulation results show that the proposed latch provides non-volatility and SEU-recovery with optimized overhead. Compared with existing non-volatile latches, NVSRLO significantly reduces delay, power, and delay-power-area product at the cost of area. © 2025 EDAA.

关键词： Wastewater reclamation

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Review of Different Current Control Strategies for Thyristor-Controlled LC-Coupling Hybrid Active Power Filter 32

Review of Different Current Control Strategies for Thyristor...

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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Sou, Wai-Kit Chan, Pak-Ian Gong, Cheng Lam, Chi-Seng State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau China University of Macau Institute of Microelectronics China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350399714

With the characteristics of low DC-link voltage and wide operating range, thyristor-controlled LC-coupling hybrid active power filter (TCLC-HAPF) is a promising power quality compensator in the medium-voltage-level power system. This paper reviews the design and implementation of different current control strategies for the TCLC-HAPF, which are hysteresis current control (HCC), multi-quasi-proportional-resonant control (MQPRC), H∞ optimal control (HOC), finite-set model predictive control (FS-MPC), second-order sliding mode control (SOSMC) and deadbeat current control (DBCC). Also, their pros and cons are fully discussed. In order to provide a deeper understanding about the steady-state and transient performances of these control strategies, the simulation study is presented under both inductive and capacitive loads. © 2023 IEEE.

关键词： Thyristors

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A 74.8-88.8 GHz Wideband CMOS LNA Achieving +4.73 dBm OP1dB and 6.39 dB Minimum NF

A 74.8-88.8 GHz Wideband CMOS LNA Achieving +4.73 dBm OP1dB ...

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2023 IEEE/MTT-S International Microwave Symposium, IMS 2023

作者： Zou, Linfeng Zhao, Kangjie Fang, Zonghua Huang, Leilei Liu, Boxiao Shi, Chunqi Chen, Guangsheng Chen, Jinghong Zhang, Runxi East China Normal University Institute of Microelectronic Circuits and Systems China Shanghai Eastsoft Microelectronics Co. Ltd. China University of Houston Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350347647

This paper presents a 74.8-88.8 GHz low-noise amplifier (LNA) in a 55-nm CMOS technology. The LNA employs one common-gate (CG) stage, one common-source (CS) stage, and two cascode stages. A hybrid broadband interstage network (HBIN) is developed to extend the amplifier bandwidth. An inductor-feedback common-gate-shorting (IFCGS) technique is proposed to improve the gain and output 1dB compression point (OP1dB). An out-of-phase-dual-coupling (OPDC) transformer structure is also developed to achieve gm-boost and reduce the noise of the CG stage. Benefiting from the proposed techniques, the LNA achieves a measured -3dB bandwidth of 14 GHz, a 17.1 dB peak gain, a minimum noise figure of 6.39 dB, and 4.73 dBm OP1dB at 80 GHz while consuming 72.4 mW of power. © 2023 IEEE.

关键词： Millimeter waves

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Multi-Quasi-Proportional-Resonant Control for Capacitive-Coupling Grid-Connect Inverter (CGCI) with Accurate Active Power Injection Technique 49

Multi-Quasi-Proportional-Resonant Control for Capacitive-Cou...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Chan, Pak-Ian Sou, Wai-Kit Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Institute of Microelectronics University of Macau China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350331820

In this paper, a multi-quasi-proportional-resonant control (MQPRC) for a three-phase capacitive-coupling grid-connect inverter (CGCI) with accurate active power injection technique is proposed to mitigate the current harmonics and improve the active power injection accuracy. Then, a detail parameter design of the proposed MQPRC is provided. And the proposed accurate active power injection is verified by the simulation. Subsequently, to verify the effectiveness of the proposed MQPRC, the simulation results are presented in comparison to the quasi-proportional-resonant control (QPRC). © 2023 IEEE.

关键词： Power quality

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A High-Performance Three-Coil Wireless Charging System for Empowering Unmanned Surface Vehicle 49

A High-Performance Three-Coil Wireless Charging System for E...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Ieong, Chi-Fong Wong, Hou-Wa Iam, Io-Wa Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Institute of Microelectronics University of Macau China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350331820

The use of unmanned surface vehicles (USVs) in oceanography research is widespread due to their ability to provide real-time data. Due to the limited battery size, recharging operations including plugging and unplugging decrease the overall utilization of the USV. To address this issue, wireless power transfer (WPT) can be implemented by installing coils at the dock and inside the USV. In this paper, a three-coil WPT system is designed for offshore USV wireless charging applications. The proposed three-coil structure is designed to ensure adequate coupling and achieve high transfer efficiency. Aiming to meet practical battery charging specifications, LCC-S-S compensation topology is analyzed with detailed parameter design to provide constant current output. Finally, simulations are conducted to verify the coupling and output characteristics of the system. © 2023 IEEE.

关键词： Energy transfer

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Design of a Method Using Machine Learning Techniques for the Maintenance and Diagnosis of Failures in Solar Panels

Design of a Method Using Machine Learning Techniques for the...

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2024 International Conference on Intelligent Systems for Cybersecurity, ISCS 2024

作者： Chaturvedi, Abhay Lohumi, Yogesh Patil, Harshal Sharath, N. Vekariya, Daxa Taqui, Syed Noeman Gla University Department of Electronics and Communication Engineering Uttar Pradesh Mathura281406 India Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttarakhand Dehradun248002 India Sri Balaji University Maharashtra Pune India Bgs Institute of Technology Adichunchanagiri University Department of Mechanical Engineering BG Nagar Mandya Karnataka571448 India Parul Institute of Engineering and Technology Parul University Department of Computer Science and Engineering Post Limda Gujarat 391760 India Saveetha Institute of Medical and Technical Sciences Department of Vlsi Microelectronics Saveetha School of Engineering Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350375237

The increasing adoption of solar energy demands efficient maintenance strategies to ensure optimal performance and longevity of solar panel installations. This paper proposes a novel method leveraging machine learning techniques for the proactive maintenance and accurate diagnosis of failures in solar panels. The objective is to enhance the reliability and efficiency of solar energy systems while minimizing downtime and operational costs. The proposed method aims to empower solar panel operators with a proactive and intelligent maintenance system, allowing them to address potential issues before they escalate. By minimizing downtime and optimizing performance, this approach contributes to the sustainability and economic viability of solar energy installations. The effectiveness of the proposed method is demonstrated through experimental results and comparisons with traditional maintenance approaches. © 2024 IEEE.

关键词： Machine learning

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Harmonic Transfer Function Modeling of LCC-S Inductive Power Transfer System

Harmonic Transfer Function Modeling of LCC-S Inductive Power...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Gong, Cheng Ding, Zhaoyi Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China University of Macau Institute of Microelectronics China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350316445

Mathematical model of the inductive power transfer (IPT) systems is essential for stability analysis and control design. Conventional modeling approaches for IPT systems result in high-order models, as each resonant voltage or current is represented by two slowly changing real-valued variables. Alternative modeling methods may decrease the model order, but they are often plagued by drawbacks such as the absence of analytical expressions, reduced generality, and incomplete modeling. Moreover, the harmonic AC components of the IPT system are not well modeled in the existing methods, which affects the analysis accuracy and control optimality. In this paper, a harmonic transfer function (HTF) modeling of the IPT system is proposed, which has good mathematical properties and improved accuracy. First, the circuit configuration and the linear time-varying (LTV) large-signal model are proposed. Then, the derivation of the proposed HTF is comprehensively discussed. Finally, the accuracy of the proposed HTF is verified by simulation and experimental results in comparison with other representative modeling methods, which shows an improved accuracy. © 2023 IEEE.

关键词： harmonics transfer function inductive power transfer system modeling

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Optimizing Inductive Power Transfer Circular Pad Coils for Electric Vehicles Using Multi-Objective Particle Swarm Optimization 49

Optimizing Inductive Power Transfer Circular Pad Coils for E...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Wong, Hou-Wa Ieong, Chi-Fong Lam, Chi-Seng University of Macau State Key Laboratory of Analog and Mixed-Signal Vlsi China Institute of Microelectronics University of Macau China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9798350331820

The wireless power transfer (WPT) technology has gained significant attention in recent years due to its potential to provide a convenient and efficient method to charging electronic devices without the need for physical connections. In wireless charging, the inductive coils are significantly important as they are the component that power transfer takes place. In this context, Multi-Objective Particle Swarm Optimization (MOPSO) has emerged as a promising technique for designing WPT coils with improved performance. Aiming to verify the performance of the designed coil, LCC-S compensation topology was utilized as it can provide practical battery charging specifications. © 2023 IEEE.

关键词： Inductive power transmission

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The performance analysis of image resolution model using deep residual algorithm 15

The performance analysis of image resolution model using dee...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Chandi Priya, K.G. Savitha, P. Sujatha, V. Sabarivani, A. Dinesh, M. R.M.K College of Engineering and technology Department of General Engineering Chennai India Nandha Engineering College Department of CSE Perundurai Erode India S.A. Engineering College Master of Computer Applications Chennai India Sathyabama Institute of Science and Technology Department of Biomedical Engineering Chennai India Saveetha University Saveetha School of Engineering Department of VLSI Microelectronics Chennai India

ISBN: (纸本)9798350370249

Deep residual algorithms succeeded wildly in different computer vision problems (e.g., Image Super resolution). Deep neuraenablersraredesign and residual learning are great enablers that define how these architectures overcome limitations in traditional image resolution models. This article implements a deep residual algorithm representing the image resolution model performance research. This paper aims to synthesize HR images from their low-resolution (LR) counterparts by training the proposed model using large-scale image pairs across different resolutions. The model is tested using multiple evaluation criteria and compared with classical resolution models. Experimental results show that the deep residual model performs better in peak signal-to-noise ratio(PSNR), structural similarity index(SSIM), and visual quality metrics. It examines the influence of various network architectures, training strategies, and datasets on how well this algorithm can recognize dialog acts. Experiments demonstrate the superiority of the proposed model with a deep residual algorithm in terms of improving Resolution compared to traditional models. © 2024 IEEE.

关键词： Network architecture

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