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25th International ITG Workshop on Smart Antennas, WSA 2021

作者： Zhao, Hui Lampiris, Eleftherios Caire, Giuseppe Elia, Petros Communication Systems Department EURECOM Sophia Antipolis 06410 France Electrical Engineering and Computer Science Department Technical University of Berlin Berlin10587 Germany

ISBN: (纸本)9783800756889

We investigate the performance of multi-antenna coded caching delivery algorithms operating under practical constraints. Specifically, under the constraints of finite subpacketization and finite signal-to-noise ratio (SNR) we compare two popular algorithms, one exhibiting low subpacketization while the other transmits multicast messages, hence requiring fewer symbols for communication and resulting in increased power per transmitted symbol. Our work is motivated by the fact that, while many multi-antenna coded caching algorithms exhibit the same asymptotic performance, when factoring practical limitations such as finite subpacketization and finite SNR, the real-world performances differ significantly. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Signal to noise ratio

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Groove Gap Waveguide Crossover for Butler Matrices and Beamforming in Millimeter-Wave Satellite Antenna systems

Groove Gap Waveguide Crossover for Butler Matrices and Beamf...

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International Conference on Radioelektronika

作者： Mohammad Alibakhshikenari Peiman Parand Ali Zidour Bal S. Virdee Lida Kouhalvandi Patrick Longhi Takfarinas Saber Ernesto Limiti Electronics Engineering Department University of Rome “Tor Vergata” Rome Italy Department of Electrical Systems Engineering Faculty of Technology University of M'hamed Bougara Boumerdes Algeria Center for Communications Technology London Metropolitan University London UK Department of Electrical and Electronics Engineering Dogus University Istanbul Turkiye Lero Science Foundation Ireland Centre for Software School of Computer Science University of Galway Galway Ireland

ISBN: (数字)9798331544478

ISBN: (纸本)9798331544485

This paper presents an innovative H-plane crossover based on groove gap-waveguide (GGW) technology for high-performance millimeter-wave (mm-wave) circuits. The design facilitates the development of key transmission components, such as Butler matrices (BMs) and beamforming feeding networks (BFNs), for multi-beam antenna systems operating in the V-band spectrum (40–50 GHz). The proposed crossover is built by cascading two identical 3-dB/90° hybrid couplers. Each coupler is designed with GGW unit-cells constructed from metallic pins spaced less than a quarter-wavelength apart. This configuration creates a wide stopband of 20–57 GHz, ensuring minimal signal interference and strong impedance matching. The coupler achieves 90° phase shift, 50 dB isolation, and low insertion loss of 0.02 dB at 45 GHz, with a fractional bandwidth of 22.22%. The crossover demonstrates excellent performance over the entire V-band, making it suitable for advanced antenna systems in satellite communications and space applications. The design reduces complexity, cost, and losses typically associated with 3D and multilayer crossover technologies, providing a compact and efficient solution for mm-wave networks.

关键词： Butler matrices Satellite antennas Millimeter wave circuits Three-dimensional displays Array signal processing Impedance matching Transmitting antennas Gap waveguide Couplers Millimeter wave communication

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HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation

HR-APR: APR-agnostic Framework with Uncertainty Estimation a...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Changkun Liu Shuai Chen Yukun Zhao Huajian Huang Victor Prisacariu Tristan Braud Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Department of Engineering Science Active Vision Laboratory University of Oxford United Kingdom Division of Integrated Systems Design The Hong Kong University of Science and Technology Hong Kong

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Absolute Pose Regressors (APRs) directly estimate camera poses from monocular images, but their accuracy is unstable for different queries. Uncertainty-aware APRs provide uncertainty information on the estimated pose, alleviating the impact of these unreliable predictions. However, existing uncertainty modelling techniques are often coupled with a specific APR architecture, resulting in suboptimal performance compared to state-of-the-art (SOTA) APR methods. This work introduces a novel APR-agnostic framework, HR-APR, that formulates uncertainty estimation as cosine similarity estimation between the query and database features. It does not rely on or affect APR network architecture, which is flexible and computationally efficient. In addition, we take advantage of the uncertainty for pose refinement to enhance the performance of APR. The extensive experiments demonstrate the effectiveness of our framework, reducing 27.4% and 15.2% of computational overhead on the 7Scenes and Cambridge Landmarks datasets while maintaining the SOTA accuracy in single-image APRs.

关键词： Training Uncertainty Accuracy Databases Pipelines Estimation Network architecture

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An LMI adaptive-barrier function global sliding mode control of uncertain nonlinear systems with input saturation

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Ain Shams engineering Journal 2024年第2期15卷

作者： Rahimpour, Rahim Sepestanaki, Mohammadreza Askari Mobayen, Saleh Mokhtare, Zahra Fekih, Afef Assawinchaichote, Wudhichai Zhilenkov, Anton Electrical Engineering Department University of Zanjan Zanjan Iran Graduate School of Intelligent Data Science National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan Department of Electrical and Computer Engineering University of Louisiana at Lafayette Lafayette United States Department of Electronic and Telecommunication Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi Bangkok10140 Thailand Department of Cyber-Physical Systems St. Petersburg State Marine Technical University Saint-Petersburg190121 Russia

This paper proposes a barrier function-based adaptive control strategy with a nonlinear sliding surface for a class of uncertain dynamic systems with input saturation. Its main objectives are to ensure robustness to parametric and non-parametric uncertainties whilst eliminating the reaching phase. A global nonlinear switching surface is defined and an adaptive barrier function sliding mode control approach is derived. The barrier strategy is adopted to ensure the convergence of the states to the desired values without overestimating the control gains. System stability is analyzed using the Lyapunov stability theory. The control parameters are obtained using the linear matrix inequality (LMI) approach. The control law is designed to remove the reaching phase. The effectiveness of the proposed approach was validated using a simulation study. The proposed control approach can easily be implemented to various nonlinear uncertain systems. © 2023 THE AUTHORS

关键词： Linear matrix inequalities

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Achieving Enhanced Bi-Linear Attention Network for Teaching Manner Analysis over Edge Cloud-assisted AIoT: Voice-Body Coordination Perspective

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IEEE Transactions on Cloud Computing 2025年

作者： Zhou, Yu Zou, Sai Wu, Bochun Ni, Wei Du, Xiaojiang Guizhou University Micro-nano and Intelligent Manufacturing Engineering Research Centre of Ministry of Education College of Big Data and Information Engineering China Fudan University State Key Laboratory of Integrated Chips and Systems Shanghai200433 China Data61 CSIRO Australia Stevens Institute of Technology Department of Electrical and Computer Engineering HobokenNJ07030 United States

Edge computing, an advanced extension of cloud computing, provides superior computational capabilities and lowlatency processing at the network edge, facilitating its availability for real-time data analysis in resource-limited settings. When applied to the analysis of teaching methodologies, edge computing enables the seamless integration of vocal and physical cues, facilitating collaborative, dynamic, and real-time evaluations of teaching quality. However, the inherent complexity of human perception and multimodal interactions impose great challenges to the analysis of these aspects in Artificial Intelligence of Things (AIoT). This paper introduces an innovative mathematical model and a measurement index specifically designed to assess changes in voice-body coordination over time. To achieve this, we propose a cloud-enabled enhanced Bi-Linear Attention Network incorporating entropy and Fourier transforms (BAN-E-FT), which leverages both temporal and frequencydomain features. Specifically, by harnessing the computational and storage capabilities of edge computing, BAN-E-FT facilitates distributed training, expedites large-scale data processing, and enhances model scalability, where entropy measures and Fourier transforms capture modality dynamics, enhancing BAN's fusion capabilities. Moreover, a conditional domain adversarial network is embedded to address regional teaching variations, improving model generalizability. We also verify the robustness of BAN-EFT with accuracy and convergence through convex optimization analysis. Experiments on the eNTERFACE'05 dataset demonstrate 81% accuracy in assessing teaching adaptability, while real-world test at Guizhou University confirms 78% accuracy when using BAN-E-FT, matching human expert assessments. © 2013 IEEE.

关键词： Data integration

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System for String Monitoring in small Experimental PV Plants 18

System for String Monitoring in small Experimental PV Plants

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18th Conference on electrical Machines, Drives and Power systems, ELMA 2023

作者： Valov, Nikolay Evstatiev, Boris Mladenova, Tsvetelina Hinkov, Vladislav Mihailov, Nicolay University of Ruse 'Angel Kanchev' Department of Automation and Mechatronics Ruse Bulgaria University of Ruse 'Angel Kanchev' Department of Electronics Ruse Bulgaria University of Ruse 'Angel Kanchev' Department of Computer Systems and Technologies Ruse Bulgaria Center for Computing and Information Services University of Ruse 'Angel Kanchev' Ruse Bulgaria University of Ruse 'Angel Kanchev' Department of Electrical Power Engineering Ruse Bulgaria

ISBN: (纸本)9798350311273

This paper presents a system for real-time measurement of electrical and physical parameters of a small (12kWp) photovoltaic power plant. This experimental photovoltaic installation is located in the urban area of Ruse, on the territory of the University of Ruse. A system was designed that measures the energy produced by each solar array in shaded locations commonly found in urban environments, as well as environment parameters, solar radiation, PV cell temperature and even infrared images of the facility. The collected data will be used to model and forecast energy production from solar panels under urban conditions. © 2023 IEEE.

关键词： Solar panels

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All-silicon quantum light source by embedding an artificial atom in a nanophotonic cavity

All-silicon quantum light source by embedding an artificial ...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Zhiyenbayev, Yertay Redjem, Walid Qarony, Wayesh Ivanov, Vsevolod Papapanos, Christos Liu, Wei Jhuria, Kaushalya Al Balushi, Zakaria Dhuey, Scott Schwartzberg, Adam Tan, Liang Z. Schenkel, Thomas Kante, Boubacar Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA94720 United States Accelerator Technology and Applied Physics Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Materials Science and Engineering University of California Berkeley BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyCA94720 United States

Quantum optics in silicon is promising. We report the first all-silicon quantum light source, with a single atomic center embedded in a nanophotonic cavity, resulting in enhanced light-matter interaction. © 2023 ... 详细信息

ISBN: (纸本)9781957171258

关键词： Silicon

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Evolutionary Computing based Analysis of Diversity in Grammatical Evolution

Evolutionary Computing based Analysis of Diversity in Gramma...

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2021 International Conference on Artificial Intelligence and Smart systems, ICAIS 2021

作者： Youssef, Ayman Gupt, Krishn Kumar Raja, Muhammad Adil Murphy, Aidan Ryan, Conor Research Group Department of Computer Science and Information Systems Limerick Ireland Limerick Institute of Technology Bds and Department of Electrical and Electronic Engineering Limerick Ireland

ISBN: (纸本)9781728195377

Diversity is a much sought after aspect of any evolutionary system. More diversity means a cornucopia of diverse behaviors and traits among the individuals of a population. Lack of diversity, on the other hand, leads to a stagnant population whose individuals are more or less similar to each other. Subsequently, they fail to produce a variety of offspring. Grammatical Evolution (GE), being an Evolutionary Algorithm (EA), is also an aspirant of diversity. It allows a GE system to maintain a dynamic population over multiple *** this paper, we present our reflections about diversity estimates in a (large) number of experiments. We performed evolutionary experiments to estimate a bunch of well-known benchmark polynomials. We also employed hybrid optimization in our experiments. Our results are insightful. In this paper, we also test the effect of hybrid optimization algorithms integrated with GE on the diversity of the population. © 2021 IEEE.

关键词： Computational grammars

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Terahertz plasmonic resonances in coplanar graphene nanoribbon structures

arXiv

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arXiv 2024年

作者： Ryzhii, V. Tang, C. Otsuji, T. Ryzhii, M. Shur, M.S. Research Institute of Electrical Communication Tohoku University Sendai980-8577 Japan Frontier Research Institute for Interdisciplinary Studies Tohoku University Sendai980-8577 Japan Department of Computer Science and Engineering University of Aizu Aizu-Wakamatsu965-8580 Japan Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute TroyNY12180 United States

We analyze plasmonic oscillations in the coplanar graphene nanoribbon (GNR) structures induced by the applied terahertz (THz) signals and calculate the GNR impedance. The plasmonic oscillations in the GNR structures are associated with the electron and hole inductances and the lateral inter-GNR capacitance. A relatively low inter-GNR capacitance enables the resonant excitation of the THz plasmonic oscillations in the GNR structures with long GNRs. The GNR structures under consideration can be used in different THz devices as the resonant structures incorporated in THz detectors, THz sources using resonant-tunneling diodes, photomixers, and surface acoustic wave sensors. © 2024, CC BY.

关键词： Graphene

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On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation

arXiv

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arXiv 2022年

作者： Hiller, Markus Harandi, Mehrtash Drummond, Tom School of Computing and Information Systems The University of Melbourne Australia Department of Electrical and Computer Systems Engineering Monash University Australia

Inspired by the concept of preconditioning, we propose a novel method to increase adaptation speed for gradient-based meta-learning methods without incurring extra parameters. We demonstrate that recasting the optimisation problem to a non-linear least-squares formulation provides a principled way to actively enforce a well-conditioned parameter space for meta-learning models based on the concepts of the condition number and local curvature. Our comprehensive evaluations show that the proposed method significantly outperforms its unconstrained counterpart especially during initial adaptation steps, while achieving comparable or better overall results on several few-shot classification tasks - creating the possibility of dynamically choosing the number of adaptation steps at inference time. Copyright © 2022, The Authors. All rights reserved.

关键词： Learning systems

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