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arXiv 2024年

作者： Zhou, Jiasi Chen, Yan Zhou, Cong Sun, Yanjing Tellambura, Chintha School of Medical Information and Engineering Xuzhou Medical University Xuzhou221004 China Faculty of Information Technology and Electrical Engineering University of Oulu Oulu Finland School of Electronic and Information Engineering Harbin Institute of Technology Harbin150001 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada

The Internet of Medical Things (IoMT) facilitates in-home electronic healthcare, transforming traditional hospitalbased medical examination approaches. This paper proposes a novel transmit scheme for fog computing-enabled IoMT that leverages uplink and downlink rate splitting (RS). Fog computing allows offloading partial computation tasks to the edge server and processing the remainder of the tasks locally. The uplink RS and downlink RS utilize their flexible interference management capabilities to suppress offloading and feedback delay. Our overarching goal is to minimize the total time cost for task offloading, data processing, and result feedback. The resulting problem requires the joint design of task offloading, computing resource allocation, uplink beamforming, downlink beamforming, and common rate allocation. To solve the formulated nonconvex problem, we introduce several auxiliary variables and then construct accurate surrogates to smooth the achievable rate. Moreover, we derive the optimal computation resource allocation per user with closed-form expressions. On this basis, we recast the computing resource allocation and energy consumption at the base station to a convex constraint set. We finally develop an alternating optimization algorithm to update the auxiliary variable and inherent variable alternately. Simulation results show that our transmit scheme and algorithm exhibit considerable performance enhancements over several benchmarks. © 2024, CC BY.

关键词： Fog computing

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A Composite Nonlinear Controller Design to Enhance the Large-Signal Stability of a DC Distribution System with Constant Power Loads 2

A Composite Nonlinear Controller Design to Enhance the Large...

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2nd IEEE International Conference on Smart Technologies for Power, Energy and Control, STPEC 2021

作者： Ghosh, S.K. Roy, T.K. Pramanik, M.A.H. Mahmud, M.A. Rajshahi University of Engineering Technology Department of Electrical Electronic Engineering Rajshahi6204 Bangladesh Rajshahi University of Engineering Technology Department of Electronics Telecommunication Engineering Rajshahi6204 Bangladesh Rajshahi University of Engineering Technology Department of Electrical Computer Engineering Rajshahi6204 Bangladesh Northumbria University Newcastle Electrical Power Control Systems Research Group Faculty of Engineering and Environment United Kingdom

ISBN: (纸本)9781665443197

A composite backstepping integral sliding mode controller (BISMC) is proposed in this work for a DC-DC boost converter feeding a constant power load (CPL) in a simple DC distribution system. Here, the main objective is to ensure the large-signal stability with wide variations in operating regions. The proposed BISMC is designed based on the feedback linearized model of the DC-DC boost converter with a CPL where the average state-space model is exactly linearized. The use of exact feedback linearization overcomes the non-minimum phase problem of a DC-DC boost converter due to the presence of the CPL that exhibits negative impedance characteristics. The control law is obtained using the combination of backstepping and integral sliding mode control schemes where both approaches ensure the faster convergence of errors for all states and the integral action on the sliding surface is designed in such a fashion that will ensure the constant frequency operation of the power converter feeding the CPL while eliminating the variable frequency associated problem of the existing controllers. In addition, the stability of the whole system is analyzed through the Lyapunov stability theory. Numerical simulations are conducted to verify the performance of the designed composite nonlinear controller whose performance is also compared with a double-loop proportional integral (PI) controller to verify the superiority of the designed controller. © 2021 IEEE.

关键词： Backstepping

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Assessing Student Visual Fatigue in Virtual Semiconductor Labs via Head-Mounted Displays: A computer Vision Syndrome Questionnaire (CVS-Q)

Assessing Student Visual Fatigue in Virtual Semiconductor La...

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Sciences and Techniques of Automatic Control and computer engineering MI-STA, IEEE International Maghreb Meeting of the Conference on

作者： Ahmed Jamah Ahmed Alnagrat Rizalafande Che Ismail Abubaker Almintisir Abubaker Akeel Asma Almkhtar Miftah Alhaj Salem Salah Eldeen Ali Saad Khalefah Syed Zulkarnain Syed Idrus Department of Communication Department of Computer Science and Information Technology Faculty of Business & Communication (FPK) Universiti Malaysia Perlis (UniMAP) Higher Institute of Science and Technology Kangar Perlis Malaysia Wadi al-Shati Fezzan Libya Faculty of Electronic Engineering Technology (FTKEN) Universiti Malaysia Perlis (UniMAP) Arau Malaysia Department of Mathematics and Computer Faculty of Education Wadi Alshatti University Fezzan Libya Department of Computer Science and Information Technology Higher Institute of Sciences and Technology Tripoli Libya Department of Computer Science and Information Technology Higher Institute of Science and Technology Fezzan Libya Department of Communication Faculty of Business & Communication (FPK) Universiti Malaysia Perlis(UniMAP) Kangar Perlis Malaysia

This paper evaluates visual fatigue among students in a virtual semiconductor lab using HMDs - the HP Reverb G2 and Oculus Quest 2 - and the CVS-Q questionnaire. The study measures the frequency of visual fatigue symptoms (never, occasionally, or always) and aims to determine the effects of HMD usage on visual fatigue and eye strain, providing insight into the benefits and drawbacks of using HMDs in virtual labs. The study was conducted during the COVID-19 pandemic and aims to determine the effects of HMD usage on visual fatigue and eye strain among students in a virtual semiconductor laboratory learning environment. The results of this evaluation will provide insight into the potential benefits and drawbacks of HMD usage in virtual laboratory environments and inform the development of strategies to mitigate visual fatigue.

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An Achievable and Analytic Solution to Information Bottleneck for Gaussian Mixtures

arXiv

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arXiv 2023年

作者： Song, Yi Wan, Kai Liao, Zhenyu Caire, Giuseppe Xu, Hao Shamai, Shlomo Faculty of Electrical Engineering and Computer Science Technical University of Berlin Berlin Germany School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan China The Department of Electronic and Electrical Engineering University College London LondonWC1E7JE United Kingdom The Viterbi Electrical Engineering Department Technion–Israel Institute of Technology Haifa32000 Israel

In this paper, we study a remote source coding scenario in which binary phase shift keying (BPSK) modulation sources are corrupted by additive white Gaussian noise (AWGN). An intermediate node, such as a relay, receives these observations and performs additional compression to balance complexity and relevance. This problem can be further formulated as an information bottleneck (IB) problem with Bernoulli sources and Gaussian mixture observations. However, no closed-form solution exists for this IB problem. To address this challenge, we propose a unified achievable scheme that employs three different compression/quantization strategies for intermediate node processing by using two-level quantization, multi-level deterministic quantization, and soft quantization with the hyperbolic tangent (tanh) function, respectively. In addition, we extend our analysis to the vector mixture Gaussian observation problem and explore its application in machine learning for binary classification with information leakage. Numerical evaluations show that the proposed scheme has a near-optimal performance over various signal-to-noise ratios (SNRs), compared to the Blahut-Arimoto (BA) algorithm, and has better performance than some existing numerical methods such as the information dropout approach. Furthermore, experiments conducted on the realistic MNIST dataset also validate the superior classification accuracy of our method compared to the information dropout approach. © 2023, CC BY.

关键词： Numerical methods

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Crowd-Counting of Images in Rainy Weather Based on GAN-U-Net Model and Multi-column CNN Counting Approaches

Crowd-Counting of Images in Rainy Weather Based on GAN-U-Net...

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electronic engineering (ICEEM), International Conference on

作者： Rasha A. Saad Fathi E. Abd El-Samie Mohammed Abdel-Azim Heba M. El-Hoseny Department of Electronics and Electrical Communications Obour Higher Institute for Engineering and Technology Egypt Department of Electronics and Electrical Communications Faculty of Electronic Engineering Menoufia University Egypt Department of Electronics and Electrical Communications Faculty of Engineering Mansoura University Egypt Department of Computer Science The Higher Future Institute for Specialized Technological Studies Egypt

A count of crowds tries to determine the total number of persons in crowded places in order to avoid disruption of the safety system and maintain crowd safety. Accurate estimation of the size of crowds is a challenging process because of numerous challenges like occlusion, complicated backgrounds, varying sizes, uneven distribution, alteration of lighting, and adaptable weather. In this study, we propose a solution to two crowd counting challenges: poor weather such as rain and image scaling. We investigate crowd counting in the rainy Shanghai-Tec images. We adopt the GAN-U-Net de-raining model and the SAS-Net [1] and SGA-Net [2] crowd-counting models in our study.

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EMI Performance Analysis in IRS-Aided Multi-User Wireless Communication Systems

EMI Performance Analysis in IRS-Aided Multi-User Wireless Co...

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Virtual Conference on Communications (VCC), IEEE

作者： Rhana M. Elshishtawy Shimaa S. Ali Adly S. Tag Eldien Mostafa M. Fouda Mohamed I. Ismail Esraa M. Eid Department of Electrical Engineering Faculty of Engineering at Shoubra Benha University Egypt Department of Electrical and Computer Engineering Idaho State University Pocatello ID USA Center for Advanced Energy Studies (CAES) Idaho Falls ID USA Department of Electronic Engineering & Communication Technology Modern Academy for Engineering Egypt

This paper presents a comprehensive investigation into the effect of Electromagnetic Interference (EMI) on wireless systems employing single and distributed Intelligent Reflecting Surfaces (IRSs) in three distinct conditions by varying the number of antennas, elements, and users. Through extensive numerical simulations, the performance of the wireless systems is rigorously evaluated under different EMI scenarios. Firstly, the influence of varying the number of antennas on the system performance is thoroughly analyzed. The results demonstrate that an increased number of antennas contributes to improved signal reception and reduced interference levels. Moreover, the enhanced beamforming capabilities offered by additional antennas lead to higher signal quality and increased system Achievable Rate (AR). Secondly, the impact of changing the number of elements within the IRS under EMI conditions is investigated in detail. The simulations reveal that an augmented number of elements facilitates efficient EMI mitigation, enabling advanced signal manipulation and more precise signal focusing. As a result, the system exhibits improved performance in terms of signal strength, coverage, and AR. Lastly, the effect of varying the number of users on system performance in the presence of EMI is thoroughly assessed. The findings unveil that an increased number of users under EMI conditions leads to elevated interference levels, degraded signal quality, and diminished system AR. Thus, it is crucial to develop effective EMI mitigation strategies and resource allocation schemes to ensure reliable and efficient communication in IRS-enabled wireless systems.

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UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation

arXiv

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arXiv 2025年

作者： Shen, Yehui Zhang, Lei Li, Qingqiu Zhao, Xiongwei Wang, Yue Lu, Huimin Chen, Xieyuanli College of Intelligence Science and Technology National University of Defense Technology China Faculty of Robot Science and Engineering Northeastern University China School of Electronic and Information Engineering Harbin Institute of Technology Shenzhen China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University China SIASUN Robot& Automation Co. Ltd China School of Computer Science Fudan University China

Visual place recognition (VPR) is crucial for robots to identify previously visited locations, playing an important role in autonomous navigation in both indoor and outdoor environments. However, most existing VPR datasets are limited to single-viewpoint scenarios, leading to reduced recognition accuracy, particularly in multi-directional driving or feature-sparse scenes. Moreover, obtaining additional data to mitigate these limitations is often expensive. This paper introduces a novel training paradigm to improve the performance of existing VPR networks by enhancing multi-view diversity within current datasets through uncertainty estimation and NeRF-based data augmentation. Specifically, we initially train NeRF using the existing VPR dataset. Then, our devised self-supervised uncertainty estimation network identifies places with high uncertainty. The poses of these uncertain places are input into NeRF to generate new synthetic observations for further training of VPR networks. Additionally, we propose an improved storage method for efficient organization of augmented and original training data. We conducted extensive experiments on three datasets and tested three different VPR backbone networks. The results demonstrate that our proposed training paradigm significantly improves VPR performance by fully utilizing existing data, outperforming other training approaches. We further validated the effectiveness of our approach on self-recorded indoor and outdoor datasets, consistently demonstrating superior results. Our dataset and code have been released at https://***/nubot-nudt/UGNA-VPR. Copyright © 2025, The Authors. All rights reserved.

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Prediction of Electrical Characteristics of a-IGZO TFT Based on Transfer Learning-Based Variational Autoencoder

Prediction of Electrical Characteristics of a-IGZO TFT Based...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Khean-Thye Bea Shih-Shin Hu Wei-Hsuan Lin Da-Zheng Lin Hsin-Hui Hu Xiu-Zhi Chen Ting-Ru Lin Yen-Lin Chen Kun-Ming Chen Wai Khuen Cheng Dep. of Electronic Engineering National Taipei University of Technology Taipei Taiwan Dep. of Computer Science and Information Engineering National Taipei University of Technology Taipei Taiwan Taiwan Semiconductor Research Institute Hsinchu Taiwan Faculty of Information and Communication Technology Universiti Tunku Abdul Rahman Kampar Malaysia

In this study, we proposed a transfer-learning based variational autoencoder model for predicting the electrical characteristics in the parameter tuning process of a-IGZO TFT structure design. The result achieve a high R2 score of 0.9704 with a low-computing-power hardware-friendly method that reduced time consumption significantly compared to prior approaches. The findings have practical implications for mitigating the time-consuming nature of TCAD simulations, and the method can expand to various types of input data while ensuring high performance and generalization. We demonstrated significant improvement in generalization and accuracy through a k-fold validation.

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Two-photon polymerization lithography for imaging optics

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International Journal of Extreme Manufacturing 2024年第4期6卷 21-60页

作者： Hao Wang Cheng-Feng Pan Chi Li Kishan S Menghrajani Markus A Schmidt Aoling Li Fu Fan Yu Zhou Wang Zhang Hongtao Wang Parvathi Nair Suseela Nair John You En Chan Tomohiro Mori Yueqiang Hu Guangwei Hu Stefan A Maier Haoran Ren Huigao Duan Joel K W Yang College of Mechanical and Vehicle Engineering Hunan UniversityChangsha 410082People's Republic of China Engineering Product Development Singapore University of Technology and DesignSingapore 487372Singapore Greater Bay Area Institute for Innovation Hunan UniversityGuangzhou 511300People's Republic of China Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore School of Physics and Astronomy Faculty of ScienceMonash UniversityMelbourneVictoria 3800Australia Leibniz Institute of Photonic Technology 07745 JenaGermany Abbe Center of Photonics and Faculty of Physics FSU Jena07745 JenaGermany Otto Schott Institute of Material Research FSU Jena07745 JenaGermany Institute of Materials Research and Engineering A*STAR(Agency for Science Technology and Research)Singapore 138634Singapore Industrial Technology Center of Wakayama Prefecture Wakayama 6496261Japan School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore639798Singapore Department of Physics Imperial College LondonLondon SW72AZUnited Kingdom

Optical imaging systems have greatly extended human visual capabilities,enabling the observation and understanding of diverse *** technologies span a broad spectrum of wavelengths from x-ray to radio frequencies and impact research activities and our daily *** glass lenses are fabricated through a series of complex processes,while polymers offer versatility and ease of ***,modern applications often require complex lens assemblies,driving the need for miniaturization and advanced designs with micro-and nanoscale features to surpass the capabilities of traditional fabrication ***-dimensional(3D)printing,or additive manufacturing,presents a solution to these challenges with benefits of rapid prototyping,customized geometries,and efficient production,particularly suited for miniaturized optical imaging *** 3D printing methods have demonstrated advantages over traditional counterparts,yet challenges remain in achieving nanoscale ***-photon polymerization lithography(TPL),a nanoscale 3D printing technique,enables the fabrication of intricate structures beyond the optical diffraction limit via the nonlinear process of two-photon absorption within liquid *** offers unprecedented abilities,***-free fabrication,micro-and nanoscale capabilities,and rapid prototyping of almost arbitrary complex 3D *** this review,we emphasize the importance of the criteria for optical performance evaluation of imaging devices,discuss material properties relevant to TPL,fabrication techniques,and highlight the application of TPL in optical *** the first panoramic review on this topic,it will equip researchers with foundational knowledge and recent advancements of TPL for imaging optics,promoting a deeper understanding of the *** leveraging on its high-resolution capability,extensive material range,and true 3D processing,alongside advances in materials,fabrication,and design,we en

关键词： two-photon polymerization lithography 3D printing additive manufacturing imaging optics and nanophotonics

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Sliding Mode Control Based on Super Twisting Algorithm for Single-Stage On-Board Charger

Sliding Mode Control Based on Super Twisting Algorithm for S...

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Compatibility in Power electronics (CPE)

作者： Naki Guler Hasan Komurcugil Sertac Bayhan Dmitri Vinnikov Andrei Blinov Department of Electrical-Electronic Engineering Technology Faculty Gazi University Ankara Turkey Qatar Environment and Energy Research Institute Doha Qatar Department of Computer Engineering Eastern Mediterranean University Famagusta Via Mersin 10 Turkey Electrical Power Engineering and Mechatronics Department Tallinn University of Technology Tallinn Estonia

This paper presents a super-twisting algorithm-based sliding mode control (STA-SMC) method for a single-stage on-board charger (OBC). Constant current (CC) and constant voltage (CV) charging modes are determined by a simple algorithm that works depending on the battery’s state of charge (SOC) level. Based on the mode detection algorithm, a proportional-integral (PI) controller is used to generate the amplitude of the inductor current reference that is identical to the grid current’s amplitude. The inductor current is controlled by the proposed STA-SMC method. Simulation studies are carried out through the MATLAB/Simulink environment. The results reveal that the proposed control method successfully regulates battery voltage or current and grid current under dynamic and steady-state conditions. Furthermore, the proposed method exhibits a smooth transition from CC to CV modes and vice versa. Also, the spectrums of grid current show that the total harmonic distortion in grid current is under the recognized limits by the standards.

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