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2024 Resilience Week, RWS 2024

作者： Boamah, Sharon A. Mathieu, Reynold Faillace, Victor Agnew, Dennis McNair, Janise Bretas, Arturo University of Florida Department of Electrical and Computer Engineering GainesvilleFL United States Sandia National Laboratory Distributed Systems Group United States

ISBN: (纸本)9798350388985

The integration of information communication technology with the power grid exposes it to cyber threats. The network state estimation process provides stability to the smart grid. The communication network plays a major role in ensuring the successful transmission of state information. However, these network measurements are vulnerable to malicious attacks. This subsequently affects the network measurement such as associated high transmission delays and packet losses affecting the reliability of the smart grid. In this work, we propose a hybrid physics-based data-driven model that uses data fusion from the state-of-the-art physics-based Network State Estimation model and a data-driven model to detect false data injection attacks in the communication network layer of the smart grid. The performance of the data fusion method is evaluated and the simulation results show that the proposed model outperforms the standalone approaches in the detection of bad data. This shows that the proposed scheme is able to improve the cyber-physical security of the communication network layer of the smart grid. © 2024 IEEE.

关键词： Cyber attacks

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Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

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IEEE/CAA Journal of Automatica Sinica 2016年第2期3卷 113-120页

作者： Fei-Yue Wang Jun Jason Zhang Xinhu Zheng Xiao Wang Yong Yuan Xiaoxiao Dai Jie Zhang Liuqing Yang IEEE the State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology the Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver the Department of Computer Science and Engineering University of Minnesota the Qingdao Academy of Intelligent Industries (QAII) Qingdao Shandong China and SKL-MCCS CASIA the Department of Electrical and Computer Engineering Colorado State University

An investigation on the impact and significance of the AlphaGo vs. Lee Sedol Go match is conducted, and concludes with a conjecture of the AlphaGo Thesis and its extension in accordance with the Church-Turing Thesis in the history of computing. It is postulated that the architecture and method utilized by the AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence. Specifically, the AlphaGo Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-like approach. Deep rule-based networks are proposed in attempt to establish an understandable structure for deep neural networks in deep learning. The success of AlphaGo and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation. © 2014 Chinese Association of Automation.

关键词： Religious buildings

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A data-assisted physics-informed neural network(DA-PINN)for fretting fatigue lifetime prediction

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International Journal of Mechanical System Dynamics 2024年第3期4卷 361-373页

作者： Can Wang Qiqi Xiao Zhikun Zhou Yongyu Yang Gregor Kosec Lihua Wang Magd Abdel Wahab Soete Laboratory Department of Electrical EnergyMetalsMechanical Constructions and SystemsFaculty of Engineering and ArchitectureGhent UniversityGentBelgium Department of Engineering Mechanics School of Aerospace EngineeringHuazhong University of Science and TechnologyWuhanChina Key Laboratory for Mechanics Anhui Polytechnic UniversityWuhuChina Parallel and Distributed Systems Laboratory Jožef Stefan InstituteLjubljanaSlovenia School of Aerospace Engineering and Applied Mechanics Tongji UniversityShanghaiChina College of Engineering Yuan Ze UniversityTaiwanChina

In this study,we present for the first time the application of physics-informed neural network(PINN)to fretting fatigue *** PINN has recently been applied to pure fatigue lifetime prediction,it has not yet been explored in the case of fretting *** propose a data-assisted PINN(DA-PINN)for predicting fretting fatigue crack initiation *** traditional PINN that solves partial differential equations for specific problems,DA-PINN combines experimental or numerical data with physics equations as part of the loss function to enhance prediction *** DA-PINN method,employed in this study,consists of two main ***,damage parameters are obtained from the finite element method by using critical plane method,which generates a data set used to train an artificial neural network(ANN)for predicting damage parameters in other ***,the predicted damage parameters are combined with the experimental parameters to form the input data set for the DA-PINN models,which predict fretting fatigue *** results demonstrate that DA-PINN outperforms ANN in terms of prediction accuracy and eliminates the need for high computational costs once the damage parameter data set is ***,the choice of loss-function methods in DA-PINN models plays a crucial role in determining its performance.

关键词： crack initiation data-assisted fretting fatigue finite element method physics-informed neural network

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Deriving distributed algorithms from a general predicate detector

Deriving distributed algorithms from a general predicate det...

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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： J.R. Mitchell V.K. Garg Parallel and Distributed Systems Laboratory Electrical and Computer Engineering Department University of Texas Austin Austin TX USA

Designing and debugging distributed systems requires the detection of conditions across the entire system. As an illustration, monitoring the status of an application requires detection of termination, and using virtual time requires the periodic calculation of the global virtual time. The generalized conjunctive predicate (GCP) detector offers a method to derive detection algorithms for these and other problems based on optimizing the base algorithm.

关键词： distributed algorithms Detectors distributed computing Debugging Concurrent computing Design engineering computerized monitoring Application software Design optimization Algorithm design and analysis

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An algorithm for guaranteeing synchronous ordering of messages

An algorithm for guaranteeing synchronous ordering of messag...

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International Symposium on Autonomous Decentralized systems (ISADAS)

作者： V.V. Murty V.K. Garg Parallel and Distributed Systems Laboratory Department of Electrical & Computer Engineering University of Texas Austin Austin TX USA

The paper studies the characteristics of synchronous ordering of messages. Synchronous ordering of messages defines synchronous communication based on the causality rather than time. We present the sufficient conditions, based on the causality relations, for any algorithm to provide synchronous ordering. We also propose an algorithm using acknowledgment messages to implement the sufficient conditions. The algorithm is deadlock-free, and provides a higher degree of concurrency than existing algorithms.< >

关键词： Sufficient conditions System recovery Concurrent computing

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A Java graphical user interface for large-scale scientific computations in distributed systems 4

A Java graphical user interface for large-scale scientific c...

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4th International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region, HPC-Asia 2000

作者： Shen, X. Thiruvathukal, G. Liao, W. Choudhary, A. Singh, A. Center for Parallel and Distributed Computing Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States School of Computing Telecommunications and Information Sciences JHPC Laboratory DePaul University United States

ISBN: (纸本)0769505902

Large-scale scientific applications present great challenges to computational scientists in terms of obtaining high performance and in managing large datasets. These applications (most of which are simulations) may employ multiple techniques and resources in a heterogeneously distributed environment. Effective working in such an environment is crucial for modern large-scale simulations. In this paper, we present an integrated Java graphical user interface (IJ-GUI) that provides a control platform for managing complex programs and their large datasets easily. As far as performance is concerned, we present and evaluate our initial implementation of two optimization schemes: data replication and data prediction. Data replication can take advantage of 'temporal locality' by caching the remote datasets on local disks;data prediction, on the other hand, provides prefetch hints based on the datasets' past activities that are kept in databases. We first introduce the data contiguity concept in such an environment that guides data prediction. The relationship between the two approaches is discussed. © 2000 IEEE.

关键词： Forecasting

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Prefetching and caching for query scheduling in a special class of distributed applications

Prefetching and caching for query scheduling in a special cl...

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International Conference on parallel Processing (ICPP)

作者： A. Sinha C. Chase Parallel and Distributed Systems Laboratory Electrical and Computer Engineering University of Texas Austin Austin TX USA

We analyze the scheduling aspects of database queries submitted to an abstract model of a very large distributed system. The essential elements of this model are: (a) a finite number of identical processing nodes with limited storage capacity, (b) a finite number of queries to be serviced, (c) a very large read-only data set that is shared by all queries and (d) a fixed inter-node communication latency. This framework models an important class of applications that use distributed processing of very large data sets. Examples of these applications exist in the very large database and multimedia problem domains. To meet the objective of minimizing flow time of queries while exploiting inter-query locality, various heuristics are proposed and evaluated through extensive simulation.

关键词： Prefetching Processor scheduling Application software Delay Multimedia databases Network servers Laboratories distributed databases distributed processing Computational modeling

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Implementational Aspects for the Characterization of Low-Inertia in Power systems

Implementational Aspects for the Characterization of Low-Ine...

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2022 North American Power Symposium, NAPS 2022

作者： Baquedano-Aguilar, M.D. Aljohani, Nader Meyn, Sean P. Bretas, Arturo University of Florida Department of Electrical & Computer Engineering GainesvilleFL United States Distributed Systems Group Pacific Northwest National Laboratory RichlandWA United States

ISBN: (纸本)9781665499217

The replacement of conventional generating units with non-conventional renewable energy resources impacts the reliability of power systems. With high integration of renewable-based generation resources, there is a reduction in total system inertia, which could lead to systems with less time to react for frequency restoration in case of unexpected unit failures. Though several power system testbeds are available for studying and analysing different stability phenomena, none are suitable for characterizing, or analyzing low-inertia conditions. In this paper, a power system simulation environment is introduced for investigating control architectures for power grids, with special attention to the impact of high penetration of inverter-based generation resources (IBRs). The testbed is applied to the WSCC 9- bus test system, modified so that a range of IBR penetration levels can be analyzed (from zero to 80%). The testbed is suitable for studying both fast and slow electromechanical phenomena. A conclusion from numerical experiments is that high levels of IBRs do not necessarily result in low-inertia. This is due in part to the layers of control in the grid already in place to avoid frequency excursions. © 2022 IEEE.

关键词： Renewable energy resources

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On the performance of the ant colony system for solving the multidimensional knapsack problem

On the performance of the ant colony system for solving the ...

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IEEE Pacific Rim Conference on Communications, computers and Signal Processing

作者： R. Parra-Hernandez N. Dimopoulos Department of Electrical and Computer Engineering Laboratory for Parallel and Intelligent Systems - LAPIS Laboratory for Parallel and Intelligent Systems-LAPIS Department of Electrical and Computer Engineering University of Victoria Canada

The purpose of this paper is to present a modified version of the ant colony system (ACS) algorithm. The modified ACS algorithm is faster and it has a better performance than the standard ACS algorithm. We have established a set of local rules/modifications, that do improve the performance of the standard ACS and these are reported here.

关键词： Multidimensional systems Laboratories Intelligent systems Legged locomotion Constraint optimization Linear programming Lagrangian functions Resource management

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parallel Dispatch:A New Paradigm of electrical Power System Dispatch

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IEEE/CAA Journal of Automatica Sinica 2018年第1期5卷 311-319页

作者： Jun Jason Zhang Fei-Yue Wang Qiang Wang Dazhi Hao Xiaojing Yang David Wenzhong Gao Xiangyang Zhao Yingchen Zhang Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver Denver 80210 CO USA State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science (SKL-MCCS CASIA) Beijing 100190 China Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology Changsha 410073 China State Grid Tianjin Electric Power Company Tianjin 300010 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China National Renewable Energy Laboratory Golden CO 80401 USA IEEE

Modern power systems are evolving into sociotechnical systems with massive complexity, whose real-time operation and dispatch go beyond human capability. Thus,the need for developing and applying new intelligent power system dispatch tools are of great practical significance. In this paper, we introduce the overall business model of power system dispatch, the top level design approach of an intelligent dispatch system, and the parallel intelligent technology with its dispatch applications. We expect that a new dispatch paradigm,namely the parallel dispatch, can be established by incorporating various intelligent technologies, especially the parallel intelligent technology, to enable secure operation of complex power grids,extend system operators' capabilities, suggest optimal dispatch strategies, and to provide decision-making recommendations according to power system operational goals.

关键词： ACP knowledge automation power dispatch parallel dynamic programming parallel intelligence paralle learning situational awareness

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