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12th International electrical engineering Congress, iEECON 2024

作者： Malathong, Kritthanit Konpang, Jessada Boonthum, Direk Akkaraekthalin, Prayoot Chudpooti, Nonchanutt Thitimahatthanakusol, Phatsakul Rajamangala University Of Technology Krungthep Faculty Of Engineering Department Of Electrical And Telecommunication Engineering 2 Nanglingee Rd. Sathorn Thungmahamek Bangkok10120 Thailand Rajamangala University Of Technology Krungthep Division Of Physics Faculty Of Science And Technology 2 Nanglingee Rd. Sathorn Thungmahamek Bangkok10120 Thailand Department Of Electrical And Computer Engineering Faculty Of Engineering King Mongkut's University Of Technology North Bangkok 1518 Pracharat 1 Road Bangsue Bangkok10800 Thailand King Mongkut's University Of Technology North Bangkok Faculty Of Applied Science Department Of Industrial Physics And Medical Instrumentation Bangkok10800 Thailand Rajamangala University Of Technology Isan Faculty Of Engineering And Technology Department Of Telecommunication Engineering 744 Sura Narai Rd Nai-muang Mueang Nakhon Ratchasima Nakorn Ratchasima30000 Thailand

ISBN: (纸本)9798350383591

This study explores the remarkable properties of the Box-Ball Structure (BBS) within the 1GHz to 50GHz frequency range. The BBS structure demonstrates consistent bandpass frequencies with a periodic response and maintains a uniform 2.058GHz bandwidth at S11 = -6dB. Unlike metal-based structures, where changing C and L values can lead to frequency-dependent responses, the dielectric BBS structure exhibits stability. Its dielectric properties, including epsilon, mu, and refractive index (n), remain largely unaffected by frequency variations. Furthermore, the BBS structure is found to induce capacitance (C), as per the principles of virtual circuit theory, making it suitable for band-pass filter applications. The liquid state of epoxy resin allows for versatile structural designs, such as a hollow cylinder for omnidirectional antenna signal filtration. This research introduces the BBS as a dielectric resonator with unique properties and potential applications in various industries, particularly in the mobile phone sector. © 2024 IEEE.

关键词： Capacitance

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Impact of Temporal Precision on Speech Synthesis Accuracy From Electrocorticographic Brain Signals

Impact of Temporal Precision on Speech Synthesis Accuracy Fr...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Qinwan Rabbani Matthew S. Fifer Nathan E. Crone Laureano Moro-Velazquez Department of Electrical and Computer Engineering Johns Hopkins University Baltimore USA Research and Exploratory Development Department Johns Hopkins University Applied Physics Laboratory Laurel USA Department of Neurology Johns Hopkins Hospital Baltimore USA

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Accurately time-aligned spectral targets are essential for training electrocorticographic (ECoG) brain-computer interfaces (BCIs) intended for real-time speech output. This alignment is particularly challenging with "silent speech," in which speech occurs without phonation, or in the extreme, without articulation. Crafting suitably precise targets for silent speech is complex and error-prone due to multiple sources of temporal imprecision. We investigated how these temporal inaccuracies impact deep neural network performance in synthesizing speech from a BCI clinical trial participant who retained some speech capability. By simulating silent speech conditions through distortions in known acoustic target timings, we observed significant performance degradations at both phonetic and syllabic timescales. Accuracy-based measures offered a more reliable assessment of intelligibility than traditional metrics like the short-time objective intelligibility index, which may overestimate performance in low-precision contexts. These results underscore the need for advanced alignment techniques with precise phonetic and syllabic guarantees for silent speech BCIs focused on providing immediate output.

关键词： Training Biological system modeling Artificial neural networks Phonetics Acoustic measurements Real-time systems Acoustics Timing Speech synthesis Reliability

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Reliability Assessment and Condition Monitoring of Wind Energy Conversion Systems Using Bayesian Networks: Recent Advances and Key Insights

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IEEE Access 2025年 13卷 104472-104500页

作者： Fatemeh Salboukh Yashar Mousavi Ibrahim Beklan Kucukdemiral Afef Fekih Umit Cali Department of Engineering and Applied Science University of Massachusetts Dartmouth Dartmouth MA USA Department of Engineering School of Science and Engineering Glasgow Caledonian University Glasgow U.K. Department of Electrical and Computer Engineering University of Louisiana at Lafayette Lafayette LA USA School of Physics Engineering and Technology University of York York U.K. Department of Electric Energy Norwegian University of Science and Technology Trondheim Norway

Wind energy conversion systems (WECSs) play a vital role in the transition to sustainable energy, requiring continuous advancements in reliability, efficiency, and predictive maintenance. This paper provides a comprehensive review of Bayesian Networks (BNs) as a robust probabilistic framework for enhancing fault detection, risk assessment, and condition monitoring in WECSs. By integrating diverse data sources—including supervisory control and data acquisition (SCADA) systems, sensor networks, and environmental monitoring tools—BNs facilitate predictive maintenance, improve failure diagnostics, and extend turbine lifespan through adaptive learning. Their capability to quantify uncertainty and model complex dependencies makes them particularly effective in addressing operational and failure uncertainties, ensuring reliable energy generation under variable environmental conditions. The paper further examines key implementation challenges, including computational demands, data integration complexities, and the need for high-quality datasets to refine probabilistic models. Future research directions focus on hybridizing BNs with deep learning (DL) and reinforcement learning (RL), incorporating real-time sensor data for adaptive reliability analysis, and developing scalable, computationally efficient frameworks. Given the rapid advancements in machine learning and data-driven methodologies over the past five years, this review highlights the evolving role of BNs in modernizing WECS operations, emphasizing the necessity of an updated perspective to address emerging challenges and opportunities in wind energy systems.

关键词： Reliability Reviews Risk management Wind turbines Uncertainty Maintenance Condition monitoring Reliability engineering Probabilistic logic Predictive maintenance

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Optimal Additive Noise Mechanisms for Differential Privacy

arXiv

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arXiv 2025年

作者： Gilani, Atefeh Gomez, Juan Felipe Asoodeh, Shahab Calmon, Flavio P. Kosut, Oliver Sankar, Lalitha School of Electrical Computer and Energy Engineering Arizona State University United States Department of Physics Harvard University United States Department of Computing and Software McMaster University Canada School of Engineering and Applied Sciences Harvard University United States

We propose a unified optimization framework for designing continuous and discrete noise distributions that ensure differential privacy (DP) by minimizing Rényi DP, a variant of DP, under a cost constraint. Rényi DP has the advantage that by considering different values of the Rényi parameter α, we can tailor our optimization for any number of compositions. To solve the optimization problem, we reduce it to a finite-dimensional convex formulation and perform preconditioned gradient descent. The resulting noise distributions are then compared to their Gaussian and Laplace counterparts. Numerical results demonstrate that our optimized distributions are consistently better, with significant improvements in (Ε, δ)-DP guarantees in the moderate composition regimes, compared to Gaussian and Laplace distributions with the same variance. © 2025, CC BY.

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Quantum Network Coding and Distribution of Maximally Entangled States in Measurement-Based Quantum Computing

Quantum Network Coding and Distribution of Maximally Entangl...

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National Conference on Communications (NCC)

作者： Cheeranjiv Pandey Sanidhya Gupta Rimon Ranjit Das Ankur Raina Department of Physics Indian Institute of Technology Ropar Department of Electrical Engineering and Computer Science Indian Institute of Science Education and Research Bhopal Department of Physics Amity Institute of Applied Sciences Amity University

Classical network coding uses encoding of information over networks to achieve secure and high throughput communication with low latency. Its quantum analog, namely Quantum Network Coding (QNC) is a promising protocol to achieve quantum communication over quantum networks. In this paper, we propose a method for establishing QNC in Measurement-Based Quantum Computing (MBQC), which is a universal quantum computational model. We demonstrate that the problem of multiple unicast or multiple multicast of distinct computational basis states over a quantum network can be solved by simulating existing classical networks, with the CNOT implementation in MBQC as a basis for transmitting and encoding of states. We also show how it can be further extended to simultaneously distribute the Bell pairs and Greenberger–Horne–Zeilinger (GHZ) states required for quantum communication between distant transmitter and corresponding receiver nodes of a network.

关键词： Protocols Unicast Transmitters Quantum entanglement Receivers Network coding Throughput

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Photonic Reservoir Computing for Spectrum Awareness Applications

Photonic Reservoir Computing for Spectrum Awareness Applicat...

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IEEE Research and Applications of Photonics In Defense Conference (RAPID)

作者： Yanne K. Chembo Department of Electrical and Computer Engineering University of Maryland A. James Clark School of Engineering and Institute for Research in Electronics and Applied Physics (IREAP) College Park Maryland USA

Photonic reservoir computing can perform efficient and ultra-fast information processing in both fiber and radiofrequency (RF) networks. In this communication, we provide an overview of this topic with an emphasis on ...

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Characterization of Kerr Microcombs for Quantum Technology

Characterization of Kerr Microcombs for Quantum Technology

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Conference on Lasers and Electro-Optics (CLEO)

作者： Fengyu Liu Yanne K. Chembo Department of Electrical and Computer Engineering Institute for Research in Electronics and Applied Physics (IREAP) University of Maryland A. James Clark School of Engineering College Park MD USA

Quantum microcombs allow for the efficient generation of twin-photons via spontaneous four-wave mixing in resonantly pumped microresonators. We here develop a frequency-bin theoretical framework that permits to determ... 详细信息

ISBN: (纸本)9781957171258

关键词： Four wave mixing Microresonators Optical networks Quantum information

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Operator convexity along lines, self-concordance, and sandwiched Rényi entropies

arXiv

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arXiv 2025年

作者： He, Kerry Saunderson, James Fawzi, Hamza Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia Department of Applied Mathematics and Theoretical Physics University of Cambridge CambridgeCB3 0WA United Kingdom

Barrier methods play a central role in the theory and practice of convex optimization. One of the most general and successful analyses of barrier methods for convex optimization, due to Nesterov and Nemirovskii, relies on the notion of self-concordance. While an extremely powerful concept, proving self-concordance of barrier functions can be very difficult. In this paper we give a simple way to verify that the natural logarithmic barrier of a convex nonlinear constraint is self-concordant via the theory of operator convex functions. Namely, we show that if a convex function is operator convex along any one-dimensional restriction, then the natural logarithmic barrier of its epigraph is self-concordant. We apply this technique to construct self-concordant barriers for the epigraphs of functions arising in quantum information theory. Notably, we apply this to the sandwiched Rényi entropy function, for which no self-concordant barrier was known before. Additionally, we utilize our sufficient condition to provide simplified proofs for previously established self-concordance results for the noncommutative perspective of operator convex functions. An implementation of the convex cones considered in this paper is now available in our open source interior-point solver QICS. Copyright © 2025, The Authors. All rights reserved.

关键词： Convex optimization

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programmable Mode/Wavelength Demultiplexer using Inverse-designed Low-loss Phase-change Material

Programmable Mode/Wavelength Demultiplexer using Inverse-des...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Jiao, Ziyu Wu, Changming Yu, Heshan Takeuchi, Ichiro Ríos, Carlos Li, Mo Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States School of the Gifted Young University of Science and Technology of China Anhui Hefei230026 China Department of Materials Science and Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Physics University of Washington SeattleWA98195 United States

We demonstrate a non-volatile optically programmable inverse-designed demultiplexer based on low-loss phase change material Sb2Se3 integrated MMI that can be reconfigured both as mode and wavelength demultiplexers. &#... 详细信息

ISBN: (纸本)9781957171258

关键词： Phase change materials

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Utilizing probabilistic entanglement between sensors in quantum networks

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Physical Review applied 2024年第6期22卷 064085-064085页

作者： Emily A. Van Milligen Christos N. Gagatsos Eneet Kaur Don Towsley Saikat Guha Department of Physics The University of Arizona 1630 East University Boulevard Tucson Arizona 85721 USA Department of Electrical and Computer Engineering The University of Arizona 1630 East University Boulevard Tucson Arizona 85721 USA Wyant College of Optical Sciences The University of Arizona 1630 East University Boulevard Tucson Arizona 85721 USA Program in Applied Mathematics The University of Arizona Tucson Arizona 85721 USA Cisco Quantum Lab Los Angeles USA College of Computer Science University of Massachusetts Amherst Massachusetts USA Department of Electrical and Computer Engineering The University of Maryland College Park Maryland 20742 USA

One of the most promising applications of quantum networks is entanglement-assisted sensing. The field of quantum metrology exploits quantum correlations to improve the precision bound for applications such as precision timekeeping, field sensing, and biological imaging. When measuring multiple spatially distributed parameters, current literature focuses on quantum entanglement in the discrete-variable case and quantum squeezing in the continuous-variable case, distributed amongst all of the sensors in a given network. However, it can be difficult to ensure that all sensors preshare entanglement of sufficiently high fidelity. This work probes the space between fully entangled and fully classical sensing networks by modeling a star network with probabilistic entanglement generation that is attempting to estimate the average of local parameters. The quantum Fisher information is used to determine which protocols best utilize entanglement as a resource for different network conditions. It is shown that without entanglement distillation there is a threshold fidelity below which classical sensing is preferable. For a network with a given number of sensors and links characterized by a certain initial fidelity and probability of success, this work outlines when and how to use entanglement, when to store it, and when it needs to be distilled.

关键词： Quantum entanglement

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