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10th Annual Cyber and Information Security Research Conference, CISRC 2015

作者： Zhong, Xingsi Arunagirinathan, Paranietharan Ahmadi, Afshin Brooks, Richard Venayagamoorthy, Ganesh Kumar Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States

ISBN: (纸本)9781450333450

The deployment of synchrophasor devices such as Phasor Measurement Units (PMUs) in an electric power grid enhances real-time monitoring, analysis and control of grid operations. PMU information is sensitive, and any missing or incorrect PMU data could lead to grid failure and/or damage. Therefore, it is important to use encrypted communication channels to avoid any cyber attack. However, encrypted communication channels are vulnerable to side-channel attacks. In this study, side-channel attacks using packet sizes and/or inter-packet timing delays differentiate the stream of packets from any given PMU within an encrypted tunnel. This is investigated under different experimental settings. Also, virtual private network vulnerabilities due to side-channel analysis are discussed. © 2015 ACM.

关键词： Phasor measurement units

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Extended multi-structure local binary pattern for high-resolution image scene classification

Extended multi-structure local binary pattern for high-resol...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xiaoyong Bian Chen Chen Qian Du Yuxia Sheng Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Department of Electrical Engineering University of Texas at Dallas Richardson TX USA Department of Electrical and Computer Engineering Mississippi State University Mississippi State USA School of Information Science and Engineering Wuhan University of Science and Technology Wuhan China

This paper presents a novel extended multi-structure local binary pattern (EMSLBP) approach for high-resolution image classification, generalizing the well-known local binary pattern (LBP) approach. In the proposed EMSLBP approach, three-coupled descriptors with multi-structure sampling are proposed to extract complementary features (pixel value and radial difference) from local image patches. The anisotropic features derived from elliptical sampling are also rotation invariant by averaging the histograms over rotational angles and combined with the isotropic features extracted from circular sampling. Experimental results show that the proposed method can effectively capture local spatial pattern and local contrast, consistently outperforming several state-of-the-art classification algorithms.

关键词： Feature extraction Histograms Nickel Image classification Support vector machines Training Image resolution

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Side channel analysis of multiple PMU data in electric power systems

Side channel analysis of multiple PMU data in electric power...

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2015 Clemson University Power Systems Conference, PSC 2015

作者： Zhong, Xingsi Arunagirinathan, Paranietharan Ahmadi, Afshin Brooks, Richard Venayagamoorthy, Ganesh Kumar Yu, Lu Fu, Yu Real-Time Power and Intelligent Systems Laboratory Clemson University ClemsonSC29634 United States Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States

ISBN: (纸本)9781479919512

The deployment of Phasor Measurement Units (PMUs) in an electric power grid will enhance real-time monitoring and analysis of grid operations. The PMU collects bus voltage phasors, branch current phasors, and bus frequency measurements and uses a communication network to transmit the measurements to the respective substation(s)/control center(s). PMU information is sensitive, since missing or incorrect PMU data could lead to grid failure and/or damage. It is important to use encrypted communicate channels to avoid cyber attacks. In this study, a side-channel attack using inter-packet delays to isolate the stream of packets of one PMU from an encrypted tunnel is shown. Also, encryption in power system VPNs and vulnerabilities due to side channel analysis is discussed. © 2015 IEEE.

关键词： Phasor measurement units

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A pulsar-based timescale from the International Pulsar Timing Array

arXiv

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arXiv 2019年

作者： Hobbs, G. Guo, L. Caballero, R.N. Coles, W. Lee, K.J. Manchester, R.N. Reardon, D.J. Matsakis, D. Tong, M.L. Arzoumanian, Z. Bailes, M. Bassa, C.G. Bhat, N.D.R. Brazier, A. Burke-Spolaor, S. Champion, D.J. Chatterjee, S. Cognard, I. Dai, S. Desvignes, G. Dolch, T. Ferdman, R.D. Graikou, E. Guillemot, L. Janssen, G.H. Keith, M.J. Kerr, M. Kramer, M. Lam, M.T. Liu, K. Lyne, A. Lazio, T.J.W. Lynch, R. McKee, J.W. McLaughlin, M.A. Mingarelli, C.M.F. Nice, D.J. Oslowski, S. Pennucci, T.T. Perera, B.B.P. Perrodin, D. Possenti, A. Russell, C.J. Sanidas, S. Sesana, A. Shaifullah, G. Shannon, R.M. Simon, J. Spiewak, R. Stairs, I.H. Stappers, B.W. Swiggum, J.K. Taylor, S.R. Theureau, G. Toomey, L. van Haasteren, R. Wang, J.B. Wang, Y. Zhu, X.J. U.S. Naval Observatory WashingtonD.C. United States CSIRO Astronomy and Space Science Australia Telescope National Facility Box 76 EppingNSW1710 Australia Shanghai Astronomical Observatory CAS Shanghai200030 China Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Kavli institute for Astronomy and Astrophysics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California at San Diego La JollaCA92093 United States Centre for Astrophysics and Supercomputing Swinburne University of Technology PO Box 218 HawthornVIC3122 Australia National Time Service Center CAS Xi’anShaanxi710600 China Astrophysics Science Division NASA Goddard Space Flight Center GreenbeltMD20771 United States ASTRON Netherlands Institute for Radio Astronomy Oude Hoogeveensedijk 4 PD Dwingeloo7991 Netherlands International Centre for Radio Astronomy Research Curtin University BentleyWA6102 Australia Cornell Center for Astrophysics and Planetary Science Cornell University IthacaNY14853 United States Cornell Center for Advanced Computing Cornell University IthacaNY14853 United States Department of Physics and Astronomy West Virginia University MorgantownWV26506 United States Center for Gravitational Waves and Cosmology West Virginia University Chestnut Ridge Research Building MorgantownWV26505 United States Laboratoire de Physique et Chimie de l’Environnement et de l’Espace LPC2E CNRS- Université d’Orléans OrléansF-45071 France Station de radioastronomie de Nançay Observatoire de Paris PSL University CNRS/INSU NancayF-18330 France Department of Physics Hillsdale College 33 E. College Street HillsdaleMI49242 United States University of East Anglia Norwich Research Park NorwichNR4 7TJ United Kingdom Department of Astrophysics IMAPP Radboud University P.O. Box 9010 Nijmegen6500 GL Netherlands Jodrell Bank Centre for Astrophysics University of Manchester ManchesterM13 9PL Unite

We have constructed a new timescale, TT(IPTA16), based on observations of radio pulsars presented in the first data release from the International Pulsar Timing Array (IPTA). We used two analysis techniques with independent estimates of the noise models for the pulsar observations and different algorithms for obtaining the pulsar timescale. The two analyses agree within the estimated uncertainties and both agree with TT(BIPM17), a post-corrected timescale produced by the Bureau International des Poids et Mesures (BIPM). We show that both methods could detect significant errors in TT(BIPM17) if they were present. We estimate the stability of the atomic clocks from which TT(BIPM17) is derived using observations of four rubidium fountain clocks at the US Naval Observatory. Comparing the power spectrum of TT(IPTA16) with that of these fountain clocks suggests that pulsar-based timescales are unlikely to contribute to the stability of the best timescales over the next decade, but they will remain a valuable independent check on atomic timescales. We also find that the stability of the pulsar-based timescale is likely to be limited by our knowledge of solar-system dynamics, and that errors in TT(BIPM17) will not be a limiting factor for the primary goal of the IPTA, which is to search for the signatures of nano-Hertz gravitational waves. Copyright © 2019, The Authors. All rights reserved.

关键词： Pulsars

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Design of a configurable fixed-point FFT processor

Design of a configurable fixed-point FFT processor

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IET International Radar Conference 2015

作者： Yang, Chen Xie, Yi-Zhuang Chen, Liang Chen, He Deng, Yi Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China Department of Electrical and Computer Engineering Virginia Polytechnic Institute State University ArlingtonVA United States

ISBN: (纸本)9781849199940

In this paper, we focus on the widely-used radix-22 Decimation-In-Frequency (DIF) Fast Fourier Transform (FFT) algorithm. A variable-length, controllable-precision FFT processor is proposed. The processor can perform 16, 64, 256 and 1024 point FFT/IFFT and provide flexible wordlength scaling modes for different FFT stages. Thus, the processor is suitable for different precision and FFT length requirements in various applications. Aiming at high throughput performance, single-path delay feedback (SDF) pipeline architecture is adopted. The design is testified on Xilinx Virtex6 xc6vcx240t FPGA. Accordingly, we make a clear comparison between the proposed design and Xilinx FFT v7.1. Our design achieves better signal-to-quantizationnoise ratio (SQNR) property and shorter pipeline latency. Meanwhile, the occupied resource is approximately the same. Moreover, SQNR performance of different FFT length and wordlength scaling modes is analysed.

关键词： Field programmable gate arrays (FPGA)

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Comparison of Adaptive Neuro-Fuzzy Inference Systems and Echo State Networks for PV Power Prediction

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Procedia computer Science 2015年 53卷 92-102页

作者： I. Jayawardene G.K. Venayagamoorthy Real-Time Power and Intelligent Systems (RTPIS) Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University SC 29634 USA

Use of photo-voltaic (PV) power as a source of electricity has been rapidly growing. Integration of large PV power into the grid operation introduces several challenges. Uncertainty of PV power generation causes frequency fluctuations and power system instabilities. Due to this, short term PV power prediction has become an important area of study. Short term PV power prediction supports proper decision-making in control centers. Power generation output of a PV plant is highly dependent on different weather conditions such as solar irradiance, temperature and cloud covers. Weather data analysis and prediction can be considered as big data due to its complexity and dynamically changing characteristics. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is developed and compared with an echo state network (ESN) for short term PV power prediction. The ANFIS approach consists of three ANFIS modules for predicting solar irradiance and temperature, and then estimating the PV power, respectively. The ESN on the other hand predicts the PV power based on current weather parameters. A weather database containing data sampled every second is used in developing the ANFIS and ESN based PV power prediction systems. Results are compared under different Clemson, SC weather conditions with the two approaches.

关键词： adaptive neuro-fuzzy system big data echo state network photo-voltaic system power system short term prediction weather data.

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Fixed-point simulation technology for SAR real-time imaging system

Fixed-point simulation technology for SAR real-time imaging ...

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IET International Radar Conference 2015

作者： Zhou, Xin Xie, Yi-Zhuang Yang, Chen Du, Qing Deng, Yi Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China Department of Electrical and Computer Engineering Virginia Polytechnic Institute State University ArlingtonVA United States

ISBN: (纸本)9781849199940

In this paper, a fast fixed-point simulation technology is proposed for a multi-channel synthetic aperture radar (SAR) imaging system. The overall computations in the SAR imaging algorithm is explicitly analysed. FFT operations account for most memory consumption in the imaging flow. Accordingly, a fixed-point FFT algorithm is adopted due to the trade-off between precision and memory occupation of the FPGA implementation. Furthermore, this paper describes an optimized word-length configuration method based on theoretical analysis of architecture of Radix-22 FFT. This methodology is verified in a SystemC development environment due to its superiority of fast and bit-accurate system-level simulation capability. Finally, the proposed SystemC based fixed-point imaging algorithm and the Matlab based floating-point imaging algorithm are both conducted to process point array target raw data. Peak side-lobe ratio (PSLR) and integrated side-lobe ratio (ISLR) is evaluated. Experimental results indicate that profiles in the two cases do not differ greatly, which validates that the proposed fixedpoint algorithm with less resources occupation has comparable accuracy and can meet system requirements.

关键词： Fast Fourier transforms

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Stochastic Optimization for Combined Economic and Emission Dispatch with Renewables

Stochastic Optimization for Combined Economic and Emission D...

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IEEE Symposium Series on Computational Intelligence

作者： Mehdi Rahmani-andebili Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University

ISBN: (纸本)9781479975617

Environmental issues of thermal power plants and depletion of natural energy resources are the main motivations for applying renewable energy sources (RESs) in power systems. Therefore, it is important to consider RESs when performing combined economic and emission dispatch (CEED). In this study, the variability and uncertainties concerned with RESs and load demand are addressed with batteries installed in the power system as energy storage systems and stochastic optimization applied to solve the problem. A case study is presented to demonstrate the economic and environmental benefits achieved as a result.

关键词： Renewable energy power systems Dispatching Thermoelectric Power Plants Environmental issues Stochastic Environmental services Natural energy Batteries emission Emissions Energy storage systems energy storage

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Investigating Effects of Changes in Power Market Regulations on Demand-Side Resources Aggregators

Investigating Effects of Changes in Power Market Regulations...

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IEEE Power and Energy Society General Meeting

作者： Mehdi Rahmani-andebili Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University

ISBN: (纸本)9781467380416

A significant role of power market regulator is increasing market efficiency by considering constraints of power system. Thus, a power market regulator implements several regulations to achieve this target. However, the changes in regulations may have undesirable effects on some emerging market players. In this study, effects of changes in spinning reserve market regulations on behavior of demand-side resources aggregators such as responsive loads aggregator and plug-in electric vehicles aggregator are investigated. In this study, a hybrid method based on multi-agents and dynamic game theory considering supply function equilibrium model for bidding strategy is proposed to simulate behavior of the market players from regulator's point of view. The results demonstrate that smart aggregators can convert threats to opportunities and enhance their own profit, their customers' income and even the market efficiency.

关键词： Dynamic game theory Market regulations Multi-agents Plug-in electric vehicles (PEVs) aggregator Responsive loads aggregator power markets Regulators undesirable effects market regulations Players power systems

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Scalable cellular computational network based WLS state estimator for power systems

Scalable cellular computational network based WLS state esti...

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Clemson University Power Systems Conference (PSC)

作者： Ashfaqur Rahman Ganesh Kumar Venayagamoorthy Department of Electrical and Computer Engineering Real Time Power and Intelligent Systems Laboratory Clemson University Clemson SC USA

Modern interconnected electric power systems are made up of a large number of buses to meet the demand of electricity across large geographical distances. The large number of buses and interconnections across multiple areas result in a complex network and cause an increase in computational requirements on the processor. In order to meet the requirements of this increased complexity for state estimation, distributed estimation is getting attention nowadays. A new approach based on Cellular Computational Network (CCN) for static state estimation is proposed to overcome the computational demand of large power networks in general. The CCN architecture requires a cell at every bus where the states need to be estimated. A cell uses locally available information to estimate voltage magnitude and angle of its bus. The cells exploit output information of other cells in some electrical proximity prior to computing the outputs for next time step. Beside the promise of scalability of the CCN architecture, a fully observable system for state estimation and other applications can be realized. As the traditional estimators take all the measurements at a time and executes the estimation, missing some of the measurements may cause it to loose observability. In this paper, CCN based architecture is implemented with the popular Weighted Least Square (WLS) estimator on nonlinear power flow equations to estimate off-line data. Through simulation, the scalability and observability of the CCN based framework is investigated.

关键词： computer architecture Estimation Microprocessors Voltage measurement time measurement Power systems Transmission line measurements

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