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Techniques of abstraction and use of metadata structures

Techniques of abstraction and use of metadata structures

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IEEE International Conference on Intelligent computer Communication and Processing (ICCP)

作者： Lavinia Andreea Andrei Florina Constantin Alexandru Boicea Florin Radulescu Faculty of Automatic Control and Computer Science Politehnica University of Bucharest Bucharest Romania

Metadata integration and use represents an open problem due to the rapid expansion of data resources in a nonstandard compliant environment. The increasing need to access and retrieve relevant data based on semantic similarity from distributed, autonomous and heterogeneous sources demands innovative solutions that can offer an integrated global view over various local schemas. The framework proposed in this paper aims to achieve metadata integration and aggregation while preserving initial semantics and minimal data loss. Main problems are metadata reduction to a generic structure as well as identifying only those resources that match the crawling profile.

关键词： Crawlers Data mining Catalogs Web pages Semantics HTML Educational institutions

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Towards safe physical human-robot interaction: An online optimal control scheme

Towards safe physical human-robot interaction: An online opt...

引用

2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012

作者： Norouzzadeh, Sholeh Lorenz, Tamara Hirche, Sandra Institute of Automatic Control Engineering Faculty of Electrical Engineering and Computer Science Technische Universität München 80290 Munich Germany Experimental Psychology Ludwig-Maximilians Universität Munich Germany

ISBN: (纸本)9781467346054

Operating in the proximity of humans has been a long-term challenge in robotics research. To achieve this objective, one of the main issues is to ensure safe and comfortable physical human-robot interaction (pHRI). In this paper, we tackle the safety problem at the control level. To ensure operation is within perceived safe zone, we use model predictive control, which finds the optimal control signal online, while imposing predefined safety constraints on the robotic system. The strength of this method lies in allowing the system to perform close to, or at the edge of the constraints' boundaries. In contrast to other works we consider here perceived safety;the constraints for perceived safety are derived in a competitive pHRI experiment. The perceived safety and comfort of the proposed approach is then evaluated with a second, game-like pHRI experiment. © 2012 IEEE.

关键词： Model predictive control

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GENERALIZED ADAPTIVE COMB FILTER WITH IMPROVED ACCURACY AND ROBUSTNESS PROPERTIES

GENERALIZED ADAPTIVE COMB FILTER WITH IMPROVED ACCURACY AND ...

引用

European Signal Processing Conference

作者： Maciej Niedzwiecki Michal Meller Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control Gdansk University of Technology

ISBN: (纸本)9781467310680

Generalized adaptive comb filters can be used to identify/track parameters of quasi-periodically varying systems. In a special, signal case they reduce down to adaptive comb filters, applied to elimination or extraction of nonstationary multi-harmonic signals buried in noise. We propose a new algorithm which combines, in an adaptive way, results yielded by several, simultaneously working generalized adaptive comb filters. Due to its highly parallel estimation structure, the new algorithm is more accurate and more robust than the currently available algorithms.

关键词： Harmonic analysis Noise Estimation Prediction algorithms Bayesian methods Signal processing algorithms Time frequency analysis

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Improved EASI ECG model obtained using various machine learning and regression techniques

Improved EASI ECG model obtained using various machine learn...

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International Conference on Telecommunications and Signal Processing (TSP)

作者： Wojciech Oleksy Ewaryst Tkacz Zbigniew Budzianowski Institute of Informatics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology in Gliwice Poland Institute of Electronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology in Gliwice Poland

Main idea of this study was to increase efficiency of the EASI ECG method introduced by Dover in 1988 using various regression techniques. EASI was proven to have high correlation with standard 12 lead ECG. Apart from that it is less susceptible to artefacts, increase mobility of patients and is easier to use because of smaller number of electrodes. Multilayer Perceptron (Artificial Neural Network), Support Vector Machines, Linear Regression, Pace Regression and Least Median of Squares Regression methods were used to improve the quality of the 12-lead electrocardiogram derived from four (EASI) electrodes.

关键词： Electrocardiography Support vector machines Electrodes Standards Kernel Machine learning Multilayer perceptrons

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On the Lyapunov and Bohl exponent of time-varying discrete linear system

On the Lyapunov and Bohl exponent of time-varying discrete l...

引用

Mediterranean Conference on control and Automation (MED)

作者： Adam Czornik Aleksander Nawrat Michal Niezabitowski Aneta Szyda Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

This note studies the problem of bounds for the Lyapunov exponent of a parameter perturbed system when the perturbation has finite average value. Such a bound is presented in terms of Bohl exponent of the unperturbed system. In particular, it has been shown that the Lyapunov exponent of perturbed system is not greater than the Bohl exponent of the unperturbed system if the average value of perturbations is zero. The obtained result is illustrated by a numerical example.

关键词： Linear systems Numerical stability Asymptotic stability Time varying systems Stability analysis Equations

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Discrete-time predictive control for variable speed wind turbines

Discrete-time predictive control for variable speed wind tur...

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2012 16th International Conference on System Theory, control and Computing, ICSTCC 2012

作者： Mateescu, R. Christov, N. ŞtefǍnoiu, D. Politehnica University of Bucharest Computer Science and Automatic Control Faculty Romania Université Lille 1 Sciences et Technologies Lille France Laboratoire d'Automatique Génie Informatique et Signal France

ISBN: (纸本)9786068348483

This paper proposes a discrete-time predictive controller for variable speed horizontal wind turbines. The control strategy is implemented using discrete-time model predictive control (MPC). MPC provides an integrated solution for controlling systems with interacting variables, complex dynamics and constraints. The discrete predictive controller has the advantage that can be easily implemented on a physical controller in order to be used on a real wind turbine. In order to design the appropriate predictive controller it is necessary to describe the wind turbine behavior. After computing the general equation of motion in a mechanical system and other equations specific to the system a nonlinear model was obtained. For the linear model representation it was used a particular operating point. Based on this representation the predictive control strategy was implemented, tested and analyzed using Matlab simulation environment. © 2012 Dunarea de Jos University.

关键词： Model predictive control

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Density-based Community Identification and Visualisation

Density-based Community Identification and Visualisation

引用

International Conference on Advances in Social Network Analysis and Mining, ASONAM

作者： Michal Kozielski Wojciech Filipowski Dominik Popowicz Lukasz Warchal Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

ISBN: (纸本)9781467324977

Community can be generally defined as a sub graph where nodes are more densely connected with each other than with the rest of a network. Such definition makes application of density-based clustering methods to community identification justified and natural. Moreover, density-based methods have many extensions enabling their application to complex data analysis. Therefore, the analysis of the characteristics of density-based clustering methods in application to community identification is important and valuable. The article presents and evaluates new similarity measures that can be utilised by the approaches to density-based community identification. Several experiments on real life and generated networks are performed to show and explain the differences between these measures and to compare them with other methods. The results show that the new measures improve the quality of analysis and that density-based clustering algorithms can be valuable community identification methods.

关键词： Communities Algorithm design and analysis Clustering algorithms Optics Social network services Partitioning algorithms Charge coupled devices

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Rethinking e-assessment in a core engineering course

Rethinking e-assessment in a core engineering course

引用

IEEE Education Engineering (EDUCON)

作者： Katarzyna Moscinska Jerzy Rutkowski Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

Since 2005 assessment in many core engineering courses at Silesian University of Technology, Gliwice, Poland, is performed in the electronic manner. Every year the method is modified, based on teachers' experience and students' feedback [1]. Recently, the approach to e-assessment has been thoroughly revised, based on Bloom's taxonomy of students outcomes and Kolb's learning cycle [2,3]. In particular, the authors focused on the proper balance and order of the questions, corresponding to the lower level (knowledge, understanding) and the medium level (application, analysis) of Bloom's taxonomy. A new category of assessment, called “formative towards summative” (FTS) has been designed and introduced in the 2011/2012 autumn semester.

关键词： Taxonomy Laboratories Educational institutions Circuit theory computers Least squares approximation Electronic learning

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ELIMINATION OF CLICKS FROM ARCHIVE SPEECH SIGNALS USING SPARSE AUTOREGRESSIVE MODELING

ELIMINATION OF CLICKS FROM ARCHIVE SPEECH SIGNALS USING SPAR...

引用

European Signal Processing Conference

作者： Maciej Niedzwiecki Marcin Ciolek Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control Gdansk University of Technology

ISBN: (纸本)9781467310680

This paper presents a new approach to elimination of impulsive disturbances from archive speech signals. The proposed sparse autoregressive (SAR) signal representation is given in a factorized form - the model is a cascade of the so-called formant filter and pitch filter. Such a technique has been widely used in code-excited linear prediction (CELP) systems, as it guarantees model stability. After detection of noise pulses using linear prediction, the factorized model is converted into a generic sparse form in order to perform a projection-based signal interpolation. It is shown that the proposed algorithm is able to deal favorably with speech signals with strong glottal activity, which is a serious problem for algorithms based on the classical AR modeling.

关键词： Sparse autoregressive models Reconstruction of speech signals Elimination of clicks archives Voice Signal clicking elimination signal interpolation Code-Excited Linear Prediction Modeling Speech pitch cascades noise pulse

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Robustification of the self-optimizing narrowband interference canceller - extremum seeking in complex domain

Robustification of the self-optimizing narrowband interferen...

引用

IEEE Annual Conference on Decision and control

作者： Michal Meller Maciej Niedzwiecki Gdansk University of Technology Faculty of Electronics Telecommunications and Computer Science Department of Automatic Control

ISBN: (纸本)9781467320658

Self Optimizing Narrowband Interference Canceller (SONIC) is a novel active disturbance rejection algorithm which combines the gain-freezing technique and automatic adjustment of a complex-valued estimation gain. In the paper a new version of the self-adjustment mechanism, based on the extremum-seeking technique, is proposed. To preserve the compactness of the original controller, the adaptation algorithm is designed to operate in complex domain. The resulting adaptive controller is much more robust than its previous variant.

关键词： automatic control narrow-band interference (NBI) interference canceller adaptive optimization extremum values Disturbance rejection compactness Domain SONIC

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