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IEEE Annual Conference on Decision and Control

作者： Fei Miao Quanyan Zhu Miroslav Pajic George J. Pappas Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA 19014 Department of Electrical and Computer Engineering New York University Brooklyn NY USA 11201

ISBN: (纸本)9781467360890

This paper considers a method of coding the sensor outputs in order to detect stealthy false data injection attacks. An intelligent attacker can design a sequence of data injection to sensors that pass the state estimator and statistical fault detector, based on knowledge of the system parameters. To stay undetected, the injected data should increase the state estimation errors while keep the estimation residues in a small range. We employ a coding matrix to the original sensor outputs to increase the estimation residues, such that the alarm will be triggered by the detector even under intelligent data injection attacks. This is a low cost method compared with encryption over sensor communication networks. We prove the conditions the coding matrix should satisfy under the assumption that the attacker does not know the coding matrix yet. An iterative optimization algorithm is developed to compute a feasible coding matrix, and, we show that in general, multiple feasible coding matrices exist.

关键词： State estimation Injections Sensors system parameter cryptography Alarm Output optimization algorithms Satisfaction

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ROBUST COMMON CAROTID ARTERY LUMEN DETECTION IN B-MODE ULTRASOUND IMAGES USING LOCAL PHASE SYMMETRY

ROBUST COMMON CAROTID ARTERY LUMEN DETECTION IN B-MODE ULTRA...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Jose Rouco Aurelio Campilho INEB - Instituto de Engenharia Biomedica Porto Portugal Faculdade de Engenharia Universidade do Porto Rua Roberto Frias 4200-465 Porto Portugal

ISBN: (纸本)9781479903573

This paper presents a new method for automatic common carotid artery detection in B-mode ultrasonography. The proposed method is based on the location of phase symmetry patterns at apropriate scale of analysis. The local phase information is derived from the monogenic signal and isotropic lognormal band-pass filters, and the resulting common carotid artery is located using a dynamic programming optimization algorithm. The experiments show that the proposed method is more robust to noise than previous approaches, although additional research is required for robust common carotid artery detection on the more complicated cases.

关键词： Ultrasonography Common Carotid Arteries Carotid Arteries Ultrasonic Waves images optimization algorithms Symmetry phase symmetry

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(Nearly) Optimal algorithms for Private Online Learning in Full-information and Bandit Settings 13

(Nearly) Optimal Algorithms for Private Online Learning in F...

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Annual Conference on Neural Information Processing Systems

作者： Adam Smith Abhradeep Thakurta Pennsylvania State University Stanford University and Microsoft Research Silicon Valley Campus

ISBN: (纸本)9781632660244

We give differentially private algorithms for a large class of online learning algorithms, in both the full information and bandit settings. Our algorithms aim to minimize a convex loss function which is a sum of smaller convex loss terms, one for each data point. To design our algorithms, we modify the popular mirror descent approach, or rather a variant called follow the approximate leader. The technique leads to the first nonprivate algorithms for private online learning in the bandit setting. In the full information setting, our algorithms improve over the regret bounds of previous work (due to Dwork, Naor, Pitassi and Rothblum (2010) and Jain, Kothari and Thakurta (2012)). In many cases, our algorithms (in both settings) match the dependence on the input length, T, of the optimal nonprivate regret bounds up to logarithmic factors in T. Our algorithms require logarithmic space and update time.

关键词： e-learning algorithms Regret refresh time optimization algorithms LOSS FUNCTION solidification

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High-Throughput Beamforming Receiver for Millimeter Wave Mobile Communication

High-Throughput Beamforming Receiver for Millimeter Wave Mob...

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IEEE Global Communications Conference

作者： Bei Yin Shadi Abu-Surra Gary Xu Thomas Henige Eran Pisek Zhouyue Pi Joseph R. Cavallaro ECE Department Rice University Houston TX USA Dallas Technology Laboratory Samsung Electronics Dallas TX USA

ISBN: (纸本)9781479913510

In this paper, we present a novel FPGA-based high-throughput beamforming MIMO receiver for millimeter wave mobile communication. With vast spectrum and small antenna element size, millimeter wave communication becomes very attractive and promising to support next generation mobile communication (5G). However, the high data rate requirement challenges both algorithm and architecture. In order to support the high data rate and to reduce the overhead of selecting the best beam pair, we propose a novel beamforming synchronization scheme more suitable for mobile communication. By further optimizing the algorithm and the architecture, we present a complete mobile receiver based on FPGA, which includes RF frontend, ADC, beamforming control, synchronization, channel estimator, soft MAP detector, and channel decoder. The design operates at 28 GHz carrier frequency with 500 MHz bandwidth. The throughput can reach 1.52 Gbps. We also performed the indoor and outdoor over-the-air transmission field tests. This work provides a platform for future millimeter wave mobile communication research.

关键词： millimeter wave mobile communication beamforming FPGA Beamforming millimeter wave Field programmable gate arrays mobile communication Channel Decoder Building construction ARCHITECTURE Throughput optimization algorithms

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An Hybrid Senor Localization Algorithm for Wireless Sensor Networks

An Hybrid Senor Localization Algorithm for Wireless Sensor N...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： Lichuan Liu Geetha Mavidi Department of Electrical Engineering Northern Illinois University

ISBN: (纸本)9781479906505

Localization, the determination of geographical location of sensors is a fundamental problem in wireless sensor networks. In this paper we consider a static wireless network in which the reference nodes are static-non moving. We propose a positioning method known as hybrid optimizing algorithm (HOA) which combines steepest decent method and Taylor series expansion method. The steepest decent method converges quickly at initial iterations and has less computational complexity. The performance of Taylor series method depends on initial estimation. We conduct simulation experiments to evaluate the performance of these methods. Results show that HOA achieves better performance on position accuracy as it takes the advantages of both the methods.

关键词： general nodes (unknown location) hybrid optimizing method Localization reference nodes (known location) steepest decent method wireless sensor networks Wireless sensor networks reference node Matrilin-3 Wireless networks Taylor series steepest descent method accuracy of position steeping Geographical Locations optimization algorithms

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Sparse waveform design for all-spectrum channelization

Sparse waveform design for all-spectrum channelization

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： George Sklivanitis Panos P. Markopoulos Stella N. Batalama Dimitris A. Pados Dept. of Electrical Engineering State University of New York at Buffalo 14260 United States of America Dept. of Electrical and Microelectronic Engineering Rochester Institute of Technology NY 14623 United States of America

ISBN: (纸本)9781509041183

We introduce maximum-SINR sparse-binary waveforms that modulate data information symbols from any finite alphabet and span the whole continuum of the available/device-accessible spectrum. We offer an optimal algorithm that designs the proposed waveforms by maximizing the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum-SINR linear receiver. In addition, we offer a suboptimal algorithm for the same problem with significantly reduced computational complexity. The post-filtering SINR improvements attained by the proposed waveforms in a single-input single-output (SISO) communication system with colored interference are presented analytically. Simulation studies compare the proposed waveforms with their conventional non-sparse counterparts and demonstrate their superior SINR performance.

关键词： All-spectrum binary code sequences maximum SINR sparsity waveform design waveforms SINR Traffic channelization optimization algorithms LINEAR RECEIVERS

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Learning via Surrogate PAC-Bayes

arXiv

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arXiv 2024年

作者： Picard-Weibel, Antoine Moscoviz, Roman Guedj, Benjamin Inria France Centre International de Recherche Sur l’Eau et l’Environnement SUEZ France Department of Computer Science Centre for Artificial Intelligence University College London United Kingdom

PAC-Bayes learning is a comprehensive setting for (i) studying the generalisation ability of learning algorithms and (ii) deriving new learning algorithms by optimising a generalisation bound. However, optimising generalisation bounds might not always be viable for tractable or computational reasons, or both. For example, iteratively querying the empirical risk might prove computationally expensive. In response, we introduce a novel principled strategy for building an iterative learning algorithm via the optimisation of a sequence of surrogate training objectives, inherited from PAC-Bayes generalisation bounds. The key argument is to replace the empirical risk (seen as a function of hypotheses) in the generalisation bound by its projection onto a constructible low dimensional functional space: these projections can be queried much more efficiently than the initial risk. On top of providing that generic recipe for learning via surrogate PAC-Bayes bounds, we (i) contribute theoretical results establishing that iteratively optimising our surrogates implies the optimisation of the original generalisation bounds, (ii) instantiate this strategy to the framework of meta-learning, introducing a meta-objective offering a closed form expression for meta-gradient, (iii) illustrate our approach with numerical experiments inspired by an industrial biochemical problem. © 2024, CC BY-NC-SA.

关键词： optimization algorithms

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Resilient Energy Management for Residential Communities under Grid Outages

Resilient Energy Management for Residential Communities unde...

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IEEE International Conference on Power and Energy Systems (ICPES)

作者： Fangfei Zhang Zhao Yang Dong Fengji Luo Gianluca Ranzi Yan Xu School of Electrical and Telecommunication The University of New South Wales Sydney Australia School of Civil Engineering The University of Sydney Sydney Australia School of Electrical and Electronics Engineering Nanyang Technological University Singapore

ISBN: (数字)9781728126586

ISBN: (纸本)9781728126593

The ever-increasing power demand and more frequent extreme weather results in increasing number of grid outage events. This paper proposes a resilient energy management scheme for a building community prototype installed with community-scale photovoltaic solar panel and Battery Energy Storage System (BESS), aiming to enhance self-power supply capability of the community during the grid outage period. The scheme harnesses the community-scale renewable energy source and Battery Energy Storage System (BESS), and flexibility of building load shifting to maximize a warfare objective, i.e. the sum of served load of all buildings in the community over the grid outage horizon. An optimization algorithm previously proposed by the authors - Natural Aggregation Algorithm (NAA) is applied to solve the energy management model. Simulations are conducted based on the Australian "Smart Grid, Smart City" dataset to validate the effectiveness of the proposed method.

关键词： Smart building demand response natural aggregation algorithm demand side management smart grid Demand-Responsive Smart grids Energy management Demand-side management intelligent buildings battery energy storage system Communities residential communities Power demand grids Grid Buildings optimization algorithms

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Novel Model Calibration Method Based on Differential Evolution Used for SCR Model Fitting

Novel Model Calibration Method Based on Differential Evoluti...

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IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems

作者： Tomas Napravnik Premysl Ziska Jiri Jakovenko Department of Microelectronics Faculty of Electrical Engineering CTU in Prague ASICentrum s.r.o.

ISBN: (纸本)9781467361354

This paper presents the possibility to use modern and very effective optimization algorithm called differential evolutionary optimization algorithm (DEOA) enhanced by Nelder-Mead Simplex algorithm (NMSA) for fully automatic ESD protection model calibration. This novel method requires only TLP measurement of specific protection device for optimal model calibration. Presented approach is currently being actively developed by authors and tested for various ESD protection devices to verify its robustness. It was in past successfully tested on electrostatic discharge (ESD) MOSFET [1]. Description of used macro-model and novel calibration method along with results of ESD Silicon-controlled rectifier (SCR) macro-model calibration to empirical data are presented.

关键词： safety devices CALIBRATION METHODS optimization algorithms macro model Thyristors electrostatic discharge electrostatic discharge protection mode matching empirical data EMERGENCY SHUTDOWN DEVICE Education for sustainability Nelder-Mead Simplex Algorithm

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Coordination Strategy for Harmonic Compensation using Multiple Distributed Resources

Coordination Strategy for Harmonic Compensation using Multip...

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IEEE Power and Energy Society General Meeting

作者： Hyun-Koo Kang Il-Yop Chung Seung-Il Moon School of Electrical Eng 301-Dong Seoul National University Seoul 151-742 S. Korea School of Electrical Engineering Kookmin University Seoul Korea

ISBN: (纸本)9781467327275

Nowadays, due to the development of power electronic technology, nonlinear electronic loads using power electronic circuits are widespread in power grids. The loads can consume more reliable and high-quality power through the power conversion circuits. However, the power grids can suffer significant harmonic currents caused by these power electronic circuits. This paper proposes a new harmonic compensation method of utilizing multiple power inverters that integrate distributed resources (DRs) to a microgrid. Therefore, harmonic problems can be solved without installing additional power filters to the grids. To coordinate multiple various DGs such as small distributed generators (DGs) and battery energy storage systems (BESSs), the proposed method considers multiple objectives in terms of energy cost, generation margins of DGs and energy margins of BESSs. The optimization algorithm is constructed based on fuzzy multi-objective optimization model so that the proposed method assigns the additional output power of each DR that is needed for harmonic elimination. Simulations of the suggested coordination strategy for harmonic compensation using multiple DRs are conducted in the microgrid including two inverter-based DGs and one BESS to verify the performance of the proposed method.

关键词： Harmonic compensation Power system harmonics Multiple distributed resources control Multi-objective optimization. harmonic compensation Power grids Output power distributed energy resources Electronic circuits MICRO-GRID Electric circuits Energy sources Power conversion optimization algorithms Power (Psychology) DR

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