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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio science Meeting, AP-S/URSI 2023

作者： Rao, Junhui Zhang, Yujie Murch, Ross Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Institute for Advanced Study Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong

ISBN: (纸本)9781665442282

The design of a reconfigurable intelligent surface (RIS) for mm-waves with arbitrary polarization is proposed. At mm-wave frequencies, the RF switches needed in the RIS suffer from low isolation, and therefore a parasitic enhancing structure (PES) is also proposed to improve switch performance. In the RIS element, a dual-port dual-polarized patch antenna is used for scattering. Both ports of the antenna are connected to independent phase-reconfigurable circuits based on diodes, with PES, and these can provide 180-degree phase shifts. Simulation results show that the RIS can operate effectively for two orthogonal polarized waves and therefore an arbitrarily polarized wave. © 2023 IEEE.

关键词： Microstrip antennas

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NTFS: Introduction and Analysis from Forensics Point of View 2

NTFS: Introduction and Analysis from Forensics Point of View

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2nd International Conference for Advancement in Technology, ICONAT 2023

作者： Hermon, Rahul Singh, Upasna Singh, Bhupendra Defense Institute of Advanced Technology School of Computer Engineering and Mathematical Sciences Pune India Indian Institute of Information Technology Computer Science and Engineering Department Pune India

ISBN: (纸本)9781665475174

New Technology File System (NTFS) is a file system being used by Windows Operating Systems since 1993. NTFS is a file system used by the Windows Operating Systems for storing, cataloguing and discovering/finding files. In this work we will learn about the basics of NTFS to include its file structure and other important attributes. Then carry out analysis of NTFS file system using WinHex and Active@ Disk Editor tools from a forensics point of view, compare the results of both tools. Lastly, we carried out comparison of NTFS in Windows 10 and 11 Operating System to include forensics analysis using WinHex and Active@ Disk Editor tools. © 2023 IEEE.

关键词： Windows operating system

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Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression 42

Heterogeneity-Aware Federated Learning with Adaptive Client ...

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42nd IEEE International Conference on computer Communications, INFOCOM 2023

作者： Jiang, Zhida Xu, Yang Xu, Hongli Wang, Zhiyuan Qian, Chen University of Science and Technology of China School of Computer Science and Technology China University of Science and Technology of China Suzhou Institute for Advanced Research China University of California Jack Baskin School of Engineering Department of Computer Science and Engineering United States

ISBN: (纸本)9798350334142

Federated learning (FL) allows multiple clients cooperatively train models without disclosing local data. However, the existing works fail to address all these practical concerns in FL: limited communication resources, dynamic network conditions and heterogeneous client properties, which slow down the convergence of FL. To tackle the above challenges, we propose a heterogeneity-aware FL framework, called FedCG, with adaptive client selection and gradient compression. Specifically, the parameter server (PS) selects a representative client subset considering statistical heterogeneity and sends the global model to them. After local training, these selected clients upload compressed model updates matching their capabilities to the PS for aggregation, which significantly alleviates the communication load and mitigates the straggler effect. We theoretically analyze the impact of both client selection and gradient compression on convergence performance. Guided by the derived convergence rate, we develop an iteration-based algorithm to jointly optimize client selection and compression ratio decision using submodular maximization and linear programming. Extensive experiments on both real-world prototypes and simulations show that FedCG can provide up to 5.3× speedup compared to other methods. © 2023 IEEE.

关键词： Linear programming

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Capacitor voltage unbalance minimization for three-phase five-level diode-clamped inverter using hexagonal hysteresis space vector modulation

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MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN 2024年第2期7卷 661-671页

作者： Ramkumar, R. Singh, Manmohan Ramkumar, R. Usha, S. Thentral, T. M. Thamizh Department of Electrical and Electronics Engineering SRM Institute of Science and Technology Chengalpattu India Department of Computer Engineering and Application GLA University Mathura India Department of Electrical and Electronics Engineering School of Engineering and Technology Dhanalakshmi Srinivasan University Trichy India Department of Renewable Energy University of Maroua National Advanced School of Engineering of Maroua Maroua Cameroon

This article suggests a method for diminishing the voltage unbalance in a three-phase five-level diode-clamped inverter (DCI) through the use of hexagonal hysteresis space vector modulation (HHSVM). Capacitor voltage balancing leads to enhanced system efficiency, reduced stress on components, enhanced performance, abridged electromagnetic interference, and reduced total harmonic distortion. The proposed modulation technique and its implementation are thoroughly examined in this study, along with modeling and experiment data that show how efficient the method is at lowering the capacitor voltage unbalance in the proposed five-level DCI. Capacitor voltage unbalance is reduced with the use of this HHSVM approach to 0.95%, which is a superior reduction compared to traditional PWM methods. The paper also discusses the advantages of the proposed method over other existing methods, making it a promising solution for practical applications in power electronics systems.

关键词： Diode-clamped inverter (DCI) Capacitor voltage balancing Hexagonal hysteresis space vector modulation (HHSVM) Total harmonic distortion

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A survey of artificial intelligence models for wireless capsule endoscopy videos for superior automatic diagnosis: problems and solutions

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Multimedia Tools and Applications 2025年 1-35页

作者： El-Gammal, Eman M. El-Shafai, Walid Taha, Taha E. El-Fishawy, Adel S. Abd El-Samie, Fathi E. Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Center of Advanced Software and Biomedical Clinical Engineering Consultations Faculty of Engineering Cairo University Giza Egypt Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University 84428 Riyadh11671 Saudi Arabia

Wireless Capsule Endoscopy (WCE) emerged as an innovative and patient-centric approach for non-invasive and painless examination of the gastrointestinal (GI) tract. It serves as a pivotal tool in helping medical practitioners in the early detection of anomalies within the intricate domain of the human GI tract. The automated identification of aberrations assumes paramount significance, contributing not only to temporal efficiency but also to timely diagnosis. Within the realm of academic literature, a plethora of Artificial Intelligence (AI) methodologies have been proposed to effectuate the automatic classification, segmentation, and synthesis of anomalies inherent in WCE images. This scholarly endeavor undertakes a comprehensive and meticulous survey, elucidating the spectrum of anomaly classification, summarization, and detection techniques harnessed for computer-Aided Diagnosis (CAD) in the context of WCE images. The survey begins by delineating the methodologies underpinning WCE image classification and video processing. Subsequently, an exhaustive evaluation of techniques for analyzing WCE images is furnished, accompanied by an in-depth exploration of pertinent surveys, in addition to a judicious assessment of their merits and demerits. Furthermore, this study undertakes a rigorous evaluation of prevailing datasets utilized to benchmark the efficacy of various WCE techniques. In summary, this survey serves as a vanguard, delineating promising avenues for future investigations in the realm of WCE image analysis models. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Endoscopy

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Multi-Agent DRL for task offloading with delay reliability assurances in ris-aided MEC in UDN 3

Multi-Agent DRL for task offloading with delay reliability a...

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2024 3rd International Conference on Electronic Information and Communication engineering, EICE 2024

作者： Cai, Yunlong Dong, Chongwu Qiao, Cheng Wen, Wushao School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou China

This paper focuses on the scenario where Reconfigurable Intelligent Surfaces (RISs) are introduced in ultra-dense networks (UDN) to guarantee the transmission performance of task offloading of users in Mobile Edge Computing (MEC). Considering users' task arrival and wireless channel stochasticity, we analyze the delay violation probability bound for each user's two-hop tandem queueing system with the Martingale theory, i.e., the task offloading and edge computing queues. By taking the delay violation probability bounds as the service reliability constraint, we further propose a MADRL-based algorithm, which co-trains each user and BS as independent and heterogeneous agents and maximizes the total energy efficiency of the system by jointly optimizing the users' offloading ratio, the RISs' phase-shift, and the BSs' resource allocation policy. Experimental results show that our algorithm can improve the EE by about 17.9% compared to other alternative methods under different reliability requirements. © Published under licence by IOP Publishing Ltd.

关键词： Resource allocation

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Advancements in Photoaligned Azo-Dye Thin-Film Polarizer with Exceptional Dichroic Ratio

Advancements in Photoaligned Azo-Dye Thin-Film Polarizer wit...

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International Symposium, Seminar, and Exhibition, Display Week 2024

作者： Cheng, Yue-Chu Tseng, Man-Chun Ho, Yeuk-Lung Vashchenko, Olena Vashchenko, Valerii Tang, Shu-Tuen Yeung, Sze-Yan Kwok, Hoi-Sing State Key Laboratory of Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

This study presents the development of ultra-thin azo-dyepolarizers, notable for their minimal thickness (100-200 nm) and superior optical performance, with polarization efficiency exceeding 99.9%, extinction ratios above 4000, transmittance over45.3%, and dichoric ratio over 100. Utilizing cost-effective solution-processing methods, we fabricate these high-performance polarizers and determine optimal experimental conditions for peak efficacy. Our research includes comprehensive Scanning Electron Microscopy analyses to understand the microstructural properties of these azo-dye thin film polarizers, contributing significantly to the field of advanced display technologies. © 2024, John Wiley and Sons Inc. All rights reserved.

关键词： Liquid crystal displays

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Optimizing Acoustic Echo Cancellation with Variable Step Size in Adaptive Filtering

Optimizing Acoustic Echo Cancellation with Variable Step Siz...

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2024 International Conference on advanced Technologies for Communications, ATC 2024

作者： Chen, Yen-Yi Wang, Jian-Hong Chan, Po-Cheng Liang, Kai-Wen Wang, Ze-Yu Wang, Jia-Ching School of Computer Science and Technology Shandong University of Technology Shandong Zibo China National Central University Department of Computer Science and Information Engineering Taoyuan Taiwan Advanced Technology Laboratory Chunghwa Telecom Laboratories Taiwan

ISBN: (纸本)9798350353983

This paper presents an innovative approach to acoustic echo cancellation (AEC) by applying Variable Step Size (VSS) separately to each adaptive filtering technique: Normalized Least Mean Square (NLMS), and Proportionate Normalized Least Mean Square (PNLMS). This application is tailored to overcome the challenges of step size adjustment and signal sparsity, significantly enhancing system performance. We demonstrate that utilizing VSS with each algorithm independently allows for optimized control over convergence rates-larger step sizes quicken convergence while smaller sizes ensure smoother transitions. This method improves the robustness and efficiency of echo cancellation systems, removing the need for manual step size adjustments and proving highly effective in real-time applications. © 2024 IEEE.

关键词： Echo suppression

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Characterization and Performance Evaluation of Photo-Aligned Azo-Dye Thin-Film Polarizers

Characterization and Performance Evaluation of Photo-Aligned...

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International Conference on Display Technology, 2024

This study presents the characterization and performance evaluation of photo-aligned azo-dye thin-film polarizers, highlighting their ultra-thin profiles and superior optical functionalities. Utilizing cost-effective solution-processing methods, these high-efficiency polarizers were developed, with the research pinpointing optimal experimental conditions for peak performance. © 2024 John Wiley and Sons Inc. All rights reserved.

关键词： Azo dyes

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Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution

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IEEE Transactions on Multimedia 2022年 1-16页

作者： Wu, Yixuan Li, Feng Bai, Huihui Lin, Weisi Cong, Runmin Zhao, Yao Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing China School of Computer Science and Information Engineering Hefei University of Technology Hefei China School of Computer Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore

Convolutional Neural Network (CNN)-based image super-resolution (SR) has exhibited impressive success on known degraded low-resolution (LR) images. However, this type of approach is hard to hold its performance in practical scenarios when the degradation process (i.e. blur and downsampling) is unknown. Despite existing blind SR methods proposed to solve this problem using blur kernel estimation, the perceptual quality and reconstruction accuracy are still unsatisfactory. In this paper, we analyze the degradation of a high-resolution (HR) image from image intrinsic components according to a degradation-based formulation model. We propose a components decomposition and co-optimization network (CDCN) for blind SR. Firstly, CDCN decomposes the input LR image into structure and detail components in feature space. Then, the mutual collaboration block (MCB) is presented to exploit the relationship between both two components. In this way, the detail component can provide informative features to enrich the structural context and the structure component can carry structural context for better detail revealing via a mutual complementary manner. After that, we present a degradation-driven learning strategy to jointly supervise the HR image detail and structure restoration process. Finally, a multi-scale fusion module followed by an upsampling layer is designed to fuse the structure and detail features and perform SR reconstruction. Empowered by such degradation-based components decomposition, collaboration, and mutual optimization, we can bridge the correlation between component learning and degradation modelling for blind SR, thereby producing SR results with more accurate textures. Extensive experiments on both synthetic SR datasets and real-world images show that the proposed method achieves the state-of-the-art performance compared to existing methods. Author

关键词： Image reconstruction

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