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

作者： Hang Liu Anna Scaglione Sean Peisert Department of Electrical and Computer Engineering Cornell Tech Cornell University NY USA Lawrence Berkeley National Laboratory Berkeley CA USA

Graph matching over two known graphs is a method for de-anonymizing obscured node labels within an anonymous graph, finding the corresponding nodes in a second graph. In this paper, we consider a new case where a set of graph signals originate from a hidden graph. We want to match their components to a reference graph to reveal labels of asymmetric nodes. We refer to this as the graph-signal-to-graph matching (GS2GM) problem. We introduce a symmetry detection method to pinpoint the asymmetric nodes in the reference graph. Then, we adapt the existing blind graph matching algorithm, originally designed for asymmetric graphs, to align the detected nodes with signals generated from the target hidden graph. Furthermore, we establish sufficient conditions for perfect node de-anonymization through graph signals, showing that graph signals can leak substantial private information on the concealed labels of the underlying graph.

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Preserving Smart Grid Integrity: A Differential Privacy Framework for Secure Detection of False Data Injection Attacks in the Smart Grid

arXiv

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arXiv 2024年

作者： Ravi, Nikhil Scaglione, Anna Peisert, Sean Pradhan, Parth The Department of Electrical and Computer Engineering Cornell Tech United States Lawrence Berkeley National Laboratory United States Kevala United States

In this paper, we present a framework based on differential privacy (DP) for querying electric power measurements to detect system anomalies or bad data caused by false data injections (FDIs). Our DP approach conceals consumption and system matrix data, while simultaneously enabling an untrusted third party to test hypotheses of anomalies, such as an FDI attack, by releasing a randomized sufficient statistic for hypothesis-testing. We consider a measurement model corrupted by Gaussian noise and a sparse noise vector representing the attack, and we observe that the optimal test statistic is a chi-square random variable. To detect possible attacks, we propose a novel DP chi-square noise mechanism that ensures the test does not reveal private information about power injections or the system matrix. The proposed framework provides a robust solution for detecting FDIs while preserving the privacy of sensitive power system data. Copyright © 2024, The Authors. All rights reserved.

关键词： Smart power grids

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2D PdSe_(2):Pioneering innovations in polarized photodetection

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Journal of Electronic Science and Technology 2025年第2期23卷 19-30页

作者： Waqas Ahmad Amine El Moutaouakil Wen Lei Zhi-Ming Wang Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu611731China College of Engineering United Arab Emirates UniversityAl Ain15551United Arab Emirates Department of Electrical Electronic and Computer EngineeringThe University of Western AustraliaPerth6009Australia Shimmer Center Tianfu Jiangxi LaboratoryChengdu641419China

Palladium diselenide(PdSe_(2)),a novel two-dimensional(2D)material with a unique pentagonal crystal structure including anisotropic properties,has emerged as a highly promising candidate for developing the next generation photoelectronic *** this review,firstly,we have shed light on key figures of merit for polarization *** that,this review mainly highlights the structural and electronic properties of PdSe_(2)focusing on its strong polarization sensitivity,tunable bandgap,and excellent environmental stability,making it ideal for developing the photoelectronic devices such as broadband photodetectors and their further applications in polarization detection-based imaging *** also discuss challenges in scalable synthesis,material stability,and integration with other low-dimensional materials,offering future research directions to optimize PdSe_(2)for commercial *** to the outstanding optoelectronic properties of PdSe_(2),it stands at the forefront of optoelectronic materials,poised to enable new innovations in polarization photodetection.

关键词： Anisotropic property Imaging system PdSe_(2) Pentagonal structure Polarization detection

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ChatGPT and Other Large Language Models for Cybersecurity of Smart Grid Applications

ChatGPT and Other Large Language Models for Cybersecurity of...

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IEEE General Meeting Power& Energy Society

作者： Aydin Zaboli Seong Lok Choi Tai-Jin Song Junho Hong Department of Electrical and Computer Engineering University of Michigan – Dearborn Dearborn MI USA Power Systems Engineering Center National Renewable Energy Laboratory (NREL) Golden CO USA Department of Urban Engineering Chungbuk National University Cheongju South Korea

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

Cybersecurity breaches targeting electrical substations constitute a significant threat to the integrity of the power grid, necessitating comprehensive defense and mitigation strategies. Any anomaly in information and communication technology (ICT) should be detected for secure communications between devices in digital substations. This paper proposes large language models (LLMs), e.g., ChatGPT, for the cybersecurity of IEC 61850-based communications. Multi-cast messages such as generic object oriented system events (GOOSE) and sampled values (SV) are used for case studies. The proposed LLM-based cybersecurity framework includes, for the first time, data pre-processing of communication systems and human-in-the-loop (HITL) training (considering the cybersecurity guidelines recommended by humans). The results show a comparative analysis of detected anomaly data carried out based on the performance evaluation metrics for different LLMs. A hardware-in-the-loop (HIL) testbed is used to generate and extract a dataset of IEC 61850 communications.

关键词： Training Substations Protocols Object oriented modeling Large language models Chatbots Information and communication technology Smart grids computer security IEC Standards

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IMPACT OF THE MODELLING DEPTH OF DISTRIBUTION GRIDS ON THE ACCURACY OF AGGREGATED DISTRIBUTION NETWORKS 26

IMPACT OF THE MODELLING DEPTH OF DISTRIBUTION GRIDS ON THE A...

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26th International Conference and Exhibition on Electricity Distribution, CIRED 2021

作者： Würl, Thomas L. Librandi, Mariano Dominguez Witzmann, Rolf Professorship Power Transmission Systems Department of Electrical and Computer Engineering Technical University of Munich Munich Germany

ISBN: (纸本)9781839535918

The representation of distribution networks within large transmission systems becomes increasingly relevant due to the growing share of distributed generation in lower voltage levels. Modelling detailed distribution networks for large-scale network simulations is infeasible due to the large amount of individual generation units, and thus, the amount of dynamic models. Equivalent dynamic models offer a solution to represent the impact of distribution networks as close as possible. This is achievable using grey-box models, which retain the overall dynamic models and take the grid impedance of the lower voltage levels into consideration without the computational burden. This paper focusses on the required modelling depth of the low voltage level in equivalent distribution networks. Three different approaches are presented and the deviation to a simplified approach and the detailed mode are compared. The deviation between the different modelling depths with equivalent impedances is shown to be marginal, whereas disregarding the distribution network impedance completely leads to large stationary and dynamic errors. © 2021 The Institution of engineering and Technology.

关键词： Distributed power generation

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WIP: An Engaging Undergraduate Intro to Model Checking in Software engineering Using TLA+

WIP: An Engaging Undergraduate Intro to Model Checking in So...

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Frontiers in Education (FIE) Conference

作者： Konstantin Läufer Gunda Mertin George K. Thiruvathukal Department of Computer Science Software and Systems Laboratory Loyola University Chicago Institute for Software Engineering and Programming Languages University of Lübeck

ISBN: (数字)9798350351507

ISBN: (纸本)9798350363067

Background: In this Innovative Practice Work in Progress, we present our initial efforts to integrate formal methods, with a focus on model-checking specifications written in Temporal Logic of Actions $(\text{TLA}^{+})$ , into computer science education, targeting undergraduate juniors/seniors and graduate students. Many safety-critical systems and services crucially depend on correct and reliable behavior. Formal methods can play a key role in ensuring correct and safe system behavior, yet remain underutilized in educational and industry contexts. Aims: We aim to (1) qualitatively assess the state of formal methods in computer science programs, (2) construct level-appropriate examples that could be included midway into one's undergraduate studies, (3) demonstrate how to address successive “failuresy” through progressively stringent safety and liveness requirements, and (4) establish an ongoing framework for assessing interest and relevance among students. Methods: We detail our pedagogical strategy for embedding $\text { TLA }^{+}$ into an intermediate course on formal methods at our institution. After starting with a refresher on mathematical logic, students specify the rules of simple puzzles in $\text { TLA }^{+}$ and use its included model checker (known as TLC) to find a solution. We gradually escalate to more complex, dynamic, event-driven systems, such as the control logic of a microwave oven, where students will study safety and liveness requirements. We subsequently discuss explicit concurrency, along with thread safety and deadlock avoidance, by modeling bounded counters and buffers. Results: Our initial findings suggest that through careful curricular design and choice of examples and tools, it is possible to inspire and cultivate a new generation of software engineers proficient in formal methods. Conclusions: Our initial efforts suggest that 84% of our students had a positive experience in our formal methods course. Our future plans include a longitudi

关键词： computer science Open Access Model checking System recovery Software Safety Logic Reliability Proposals Software engineering

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Prediction of Solar Energy Production Using Low-Cost Data Logger and ANN Algorithm 9th

Prediction of Solar Energy Production Using Low-Cost Data L...

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9th International Conference on Smart City Applications, SCA 2024

作者： Raif, Mourad Ledmaoui, Younes El Aroussi, Mohamed Saadane, Rachid Jakimi, Abdeslam Chehri, Abdellah Laboratory Engineering System Hassania School of Public Works Casablanca Casablanca Morocco Software Engineering and Information Systems Engineering Team FST of Errachidia Moulay Ismail University Meknes Morocco Department of Mathematics and Computer Science Royal Military College of Canada KingstonONK7K 7B4 Canada

ISBN: (纸本)9783031886522

This article introduces a novel method for predicting solar energy production using an affordable data logger and the Artificial Neural Network (ANN) algorithm. The main goal of this research is to create a precise predictive model for solar energy output, addressing the critical need for accurate forecasting in the renewable energy industry. The study capitalizes on the accessibility and cost-efficiency of a low-cost data logger to collect detailed environmental and solar irradiance data. The ANN algorithm is utilized to analyze the collected dataset, providing a robust and effective approach for forecasting solar energy production. Extensive experiments demonstrate that the developed model achieves an impressive R2 score of 0.95, indicating a high degree of accuracy and reliability in predicting solar energy output. This significant R2 score highlights the proposed methodology’s effectiveness, demonstrating its potential for practical applications in solar energy planning and management. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： data logger Machine learning Photovoltaic prediction Renewable energy

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A Flat Dual-Polarized Millimeter-Wave Luneburg Lens Antenna Using Transformation Optics with Reduced Anisotropy and Impedance Mismatch

arXiv

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arXiv 2024年

作者： Su, Yuanyan Li, Teng Hong, Wei Chen, Zhi Ning Skrivervik, Anja K. Switzerland State Key Laboratory of Millimeter Waves Southeast University China Electrical and Computer Engineering Department National University of Singapore Singapore

In this paper, a compact wideband dual-polarized Luneburg lens antenna (LLA) with reduced anisotropy and improved impedance matching is proposed in Ka band with a wide 2D beamscanning capability. Based on transformation optics, the spherical Luneburg lens is compressed into a cylindrical one, while the merits of high gain, broad band, wide scanning, and free polarization are preserved. A trigonometric function is employed to the material property of the flattened Luneburg lens with reduced anisotropy, thus effectively alleviates the strong reflection, the high sidelobes and back radiation with a free cost on the antenna weight and volume. Furthermore, a light thin wideband 7×1 metasurface phased array is studied as the primary feed for the LLA. The proposed metantenna, shorted for metamaterial-based antenna, has a high potential for B5G, future wireless communication and radar sensing as an onboard system. © 2024, CC BY.

关键词： Lens antennas

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Sequential generation of self-starting diverse operations in all-fiber laser based on thulium-doped fiber saturable absorber

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Chinese Physics B 2022年第6期31卷 87-90页

作者： Pei Zhang Kaharudin Dimyati Bilal Nizamani Mustafa M.Najm S.W.Harun School of Electrical and Information Engineering Huaihua UniversityHuaihua 418008China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua UniversityHuaihua 418008China Department of Electrical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur 50603Malaysia Faculty of Advanced Technology and Multidiscipline Airlangga UniversitySurabaya 60115Indonesia Institute of Computer Science and Digital Innovation UCSI UniversityKuala LumpurMalaysia

Self-starting Q-switching,Q-switched mode-locking and mode-locking operation modes are achieved sequentially in an all-fiber erbium-doped fiber laser with thulium-doped fiber saturable absorber for the first *** central wavelengths of Q-switching,Q-switched mode-locking and mode-locking operation modes are 1569.7 nm,1570.9 nm,and 1572 nm,*** mode-locking operation of the proposed fiber laser generates stable dark soliton with a repetition rate of 0.99 MHz and signal-to-noise ratio of 65 *** results validate the capability of generating soliton pulse by doped fiber saturable ***,the proposed fiber laser is beneficial to the applications of optical communication and signal processing system.

关键词： all-fiber laser Q-switched mode-locking dark soliton fiber saturable absorber

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Modified Superconducting Single-Flux Quantum Two-Photon Coincidence Correlator for Single-Photon Measurements

Modified Superconducting Single-Flux Quantum Two-Photon Coin...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Komissarov, Ivan V. Salim, Amir J. Mukhanov, Oleg A. Rambo, Timothy Miller, Aaron Sobolewski, Roman Department of Electrical and Computer Engineering University of Rochester RochesterNY14627 United States Laboratory for Laser Energetics University of Rochester RochesterNY14623-1299 United States Seeqc ElmsfordNY10523 United States Quantum Opus PlymouthMI48170 United States

A design and performance of a single-flux-quantum-based digital correlator is presented to trace independent signals from two superconducting single-photon detectors, triggering its inputs. © Optica Publishing Gr... 详细信息

ISBN: (纸本)9781957171395

关键词： Correlators

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