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IEEE Southeastcon

作者： Ahmed S. Soliman Rocio Devine Diego Landi S M Sajjad Hossain Rafin M. H. Cintuglu Osama A. Mohammed Dept. of Electrical and Computer Engineering Energy Systems Research Laboratory Florida International University Miami Florida USA ECE Department Energy System Research Laboratory Florida International University Miami FL USA Dept. of Electrical and Computer Engineering Florida International University Miami Florida USA

The foundation of a country's critical infrastructures (CI), which provide crucial services, is its security, healthcare, and economic systems. By lowering CI's operational costs and associated expenses and enhancing its effectiveness and safety, appropriately functional CI infrastructure plays an essential role in the prosperity of the nations. To do so, businesses that manage CIs frequently combine the Internet of Things (IoT) with Cyber-Physical systems (CPS), such as SCADA systems. SCADA systems were not initially built with web security in mind, exposing CIs open to security risks. National security issues can arise when these technologies are connected to power plants and water treatment facilities. This study aims to demonstrate how security features can be implemented in DNP3-based SCADA infrastructures. By creating a functional configuration and consensus amongst the communicating devices, the DNP3 protocol will support digital signatures. The team proposed a SCADA architecture to accomplish this, making it possible for these systems more secure manner.

关键词： Protocols Industrial control SCADA systems Medical services Safety Security Internet of Things

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Sparse Gaussian Process Regression using Progressively Growing Learning Representations

Sparse Gaussian Process Regression using Progressively Growi...

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IEEE Conference on Decision and control

作者： Christos N. Mavridis George P. Kontoudis John S. Baras Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College Park USA Dept. of Aerospace Engineering Maryland Robotics Center Inst. of Systems Research University of Maryland College Park MD USA

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

We present a new sparse Gaussian process regression model whose covariance function is parameterized by the locations of a progressively growing set of pseudo-inputs generated by an online deterministic annealing optimization algorithm. A series of entropy-regularized optimization problems is solved sequentially, introducing a bifurcation phenomenon, according to which, pseudo-inputs are gradually generated. This results in an active learning approach, which, in contrast to most existing works, can modify already selected pseudo-inputs and is trained using a recursive gradient-free stochastic approximation algorithm. Finally, the proposed algorithm is able to incorporate prior knowledge in the form of a probability density, according to which new observations are sampled. Experimental results showcase the efficacy and potential advantages of the proposed methodology.

关键词： Annealing Gaussian processes Bifurcation Approximation algorithms Optimization

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Practical relative degree in SMC systems: Frequency domain approach

Practical relative degree in SMC systems: Frequency domain a...

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International Workshop on Variable Structure systems, VSS

作者： Antonio Rosales Leonid Fridman Yuri Shtessel Deparment of Control and Robotics National Autonomus University of Mexico Mexico City Mexico Electrical and Computer Engineering Dept. The University of Alabama in Huntsville Huntsville AL USA

A variety of output regulation problems can be addressed via sliding mode control when system's relative degree is known. The difficulties in the implementation of sliding mode controllers emerge when the relative degree is unknown. On the other hand, practical systems controlled by sliding mode algorithms always work under tolerance limits, which are frequently known. This behavior is called real sliding motion. In this work, the concept of practical relative degree in single-input-single-output systems controlled by sliding mode controllers is revisited from the view point of frequency analysis. Practical relative degree is understood as the smallest order of the sliding mode controller that satisfies the tolerance limits. Also, the notion of practical relative degree is analyzed in terms of the definitions of performance margins. The usefulness of the proposed concept is the way to design sliding mode controllers for systems that can be considered a black-box. The practical relative degree is studied and illustrated via examples and simulations.

关键词： Limit-cycles Equations Mathematical model Frequency-domain analysis Sliding mode control Closed loop systems

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Main principles and limitations of current order tracking methods

Main principles and limitations of current order tracking me...

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23rd Conference and Exposition on Structural Dynamics 2005, IMAC-XXIII

作者： Brandt, Anders Lagö, Thomas Ahlin, Kjell Tuma, Jiri Axiom EduTech AB P.O. Box 2822 SE-187 28 Täby Sweden Axiom EduTech Inc. 70 Himalaya Ct Alpine UT 84004 United States Dept. of Mechanical Engineering Blekinge Institute of Technology SE-371 79 Karlskrona Sweden Dept. of Control Systems and Instrumentation ul. 17. listopadu c. 15 7. patro 708 33 Ostrava-Poruba Czech Republic

ISBN: (纸本)0912053895

Order tracking is a widely used tool for analysis of vibrations generated in engines, drive lines, and other components, since many vibration components are related to RPM. In recent years off-line order tracking has become suitable due to enhanced computer speeds. Many methods, some patented, for on-line as well as off-line order tracking have been presented over the years. In this paper we review some basic ideas behind current methods and compare their main advantages and limitations. Some basic time-frequency concepts and time window effects are reviewed. Questions on suitable tachometers and their number of pulses per revolution are also addressed. The possibility of processing RPM dependent data without tachometers is also discussed.

关键词： Data handling

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AN ASYMPTOTIC APPROACH FOR THE CALCULATION of ELECTROMAGNETIC FIELD COUPLING TO LONG TERMINATED LINES

AN ASYMPTOTIC APPROACH FOR THE CALCULATION of ELECTROMAGNETI...

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2024 ROMA International Symposium on Electromagnetic Compatibility, EMC 1998

作者： Tkachenko, S. Rachidi, F. Ianoz, M. Martynov, L. Radio Research and Development Institute Moscow103064 Russia University of Toronto Dept. of Electrical and Computer Engineering Toronto Canada Montena EMC RossensCH-1728 Switzerland Swiss Federal Institute of Technology Power Systems Laboratory LausanneCH-1015 Switzerland Russian State Committee on Telecommunications and Informatic Moscow103375 Russia

ISBN: (纸本)9798331500016

In this paper, we present and validate an analytical expression for the induced current on a long terminated line, under the thin wire approximation. The coefficients of the analytical expression are determined using a procedure based on the knowledge of the exact solutions for a short line. The length of the short line is independent of the original line length, and therefore the method is very efficient when considering the electromagnetic coupling to very long lines. © 1998 University of Rome a La Sapienza.

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A multiple ant colony system with different communication strategies

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WSEAS Transactions on Information Science and Applications 2005年第6期2卷 663-670页

作者： Ellabib, Issmail Basir, Otman Calamai, Paul Dept. of Systems Design Engineering University of Waterloo Waterloo Ont. N2L 3G1 Canada Dept. of Electric and Computer Engineering University of Waterloo Waterloo Ont. N2L 3G1 Canada

In this paper we develop communication strategies with the concept of parallel processing to enhance performance of the Ant Colony System algorithm. In these strategies we choose one particular scheme of adapting the amount of pheromone based on the quality of solutions found by several colonies and the state of convergence. We investigate and compare the search behavior and the performance of these strategies with other existing strategies using the Traveling Salesman Problem (TSP). The results demonstrate the potential of applying the multiple version over the sequential version of the Ant Colony System with some variations in the performance of the multiple version employing different strategies. The study indicates that the weighting scheme that is incorporated in the proposed strategies improves performance, particularly in strategies that share information among all colonies.

关键词： Parallel processing systems

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An Ontology-based contextual pre-filtering technique for Recommender systems

An Ontology-based contextual pre-filtering technique for Rec...

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Federated Conference on computer Science and Information systems (FedCSIS)

作者： Aleksandra Karpus Iacopo Vagliano Krzysztof Goczyła Maurizio Morisio Faculty of Electronics Telecommunication and Informatics Gdansk University of Technology Gdańsk-Wrzeszcz Poland Dept. Control and Computer Engineering Politecnico di Torino Turin Italy

Context-aware Recommender systems aim to provide users with the most adequate recommendations for their current situation. However, an exact context obtained from a user could be too specific and may not have enough data for accurate rating prediction. This is known as the data sparsity problem. Moreover, often user preference representation depends on the domain or the specific recommendation approach used. Therefore, a big effort is required to change the method used. In this paper we present a new approach for contextual pre-filtering (i.e. using the current context to select a relevant subset of data). Our approach can be used with existing recommendation algorithms. It is based on two ontologies: Recommender System Context ontology, which represents the context, and Contextual Ontological User Profile ontology, which represents user preferences. We evaluated our approach through an offline study which showed that when used with well-known recommendation algorithms it can significantly improve the accuracy of prediction.

关键词： Context Ontologies Context modeling Vocabulary Recommender systems Motion pictures Prediction algorithms

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Experimental evaluation of a hybrid MPC strategy for vehicle start-up with an Automated Manual Transmission

Experimental evaluation of a hybrid MPC strategy for vehicle...

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European control Conference (ECC)

作者： Rachid Amari Paolino Tona Mazen Alamir IFP Powertrain Engineering BP3 69390 Vernaison France IFP Powertrain Engineering Vernaison France Gipsa-Lab/ Control Systems Dept. / Sysco-Group Domaine Universitaire France

In this paper, an experimental evaluation is presented for a Model Predictive control (MPC) algorithm controlling powertrains dynamics in vehicles with Automated Manual Transmissions (AMTs). This model based control enables online optimization by using sub-optimal solutions directly linked to the accelerator pedal position. Transmission stability constraints are explicitly handled as well as saturations on the control inputs. This MPC control is tested on line during vehicle start-up in a mild hybrid city car demonstrator equipped with a natural gas engine. A comparison with a PI-based control is made to show the convenience of the proposed MPC control.

关键词： Vehicles Engines Torque Mechanical power transmission Gears control systems Mathematical model

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Self-explanatory Convex Sparse Representation for Image Classification

Self-explanatory Convex Sparse Representation for Image Clas...

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IEEE International Conference on systems, Man, and Cybernetics

作者： Bao-Di Liu Yu-Xiong Wang Bin Shen Yu-Jin Zhang Yan-Jiang Wang Wei-Feng Liu College of Information and Control Engineering China University of Petroleum Qingdao 266580 China School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 USA Dept. of Computer Science Purdue University West Lafayette IN 47907 USA Dept. of Electronic Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9781479906505

Sparse representation technique has been widely used in various areas of computer vision over the last decades. Unfortunately, in the current formulations, there are no explicit relationship between the learned dictionary and the original data. By tracing back and connecting sparse representation with the K-means algorithm, a novel variation scheme termed as self-explanatory convex sparse representation (SCSR) has been proposed in this paper. To be specific, the basis vectors of the dictionary are refined as convex combination of the data points. The atoms now would capture a notion of centroids similar to Kmeans, leading to enhanced interpretability. Sparse representation and K-means are thus unified under the same framework in this sense. Besides, an appealing property also emerges that the weight and code matrices both tend to be naturally sparse without additional constraints. Compared with the standard formulations, SCSR is easier to be extended into the kernel space. To solve the corresponding sparse coding subproblem and dictionary learning subproblem, block-wise coordinate descent and Lagrange multipliers are proposed accordingly. To validate the proposed algorithm, it is implemented in image classification, a successful applications of sparse representation. Experimental results on several benchmark data sets, such as UIUC-Sports, Scene 15, and Caltech-256 demonstrate the effectiveness of our proposed algorithm.

关键词： Convex hull Sparse representation Coordinate descent Image classification Image classification sparse representation convex hull images computer vision Dictionaries as Topic Convexity

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Bus-based content downloading for Vehicular Ad Hoc Networks

Bus-based content downloading for Vehicular Ad Hoc Networks

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International Conference on Connected Vehicles and Expo (ICCVE)

作者： Zhe Wang Zhangdui Zhong Minming Ni Chih-Yung Chang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Dept. Computer Science and Information Engineering Tamkang University Taiwan

Vehicular Ad Hoc Networks (VANETs) represent promising technologies for comfort driving and entertainment applications which rely heavily on the data downloading. Due to the rapid change of network topology and intermittent connection, it is a big challenge to satisfy the download requirements from multi-vehicles at the same time. This paper proposes a Bus-Based Content Downloading (BBCD) which aims to maximize the volume of downloaded data from bus to vehicles while the download opportunity fairness of each vehicle is taken into consideration. By predicting the number of buses which the vehicle would encounter in its future path and estimating the connection duration that the vehicle stays in the coverage of bus, the proposed BBCD schedules the download service for vehicles slot by slot such that the volume of downloaded data can be guaranteed while achieving the download opportunity fairness. The effectiveness of the proposed algorithm is evaluated by extensive simulations.

关键词： Vehicles Roads Vehicular ad hoc networks Wireless communication Connected vehicles Schedules

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