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Investigation of mixture of Gaussians method for background subtraction in traffic surveillance

International Journal of Reasoning-based Intelligent Systems 2013年第3期5卷 161-168页

作者： Nikolov, Boris Kostov, Nikolay Yordanova, Slava Department of Communication Technologies Faculty of Electronics Technical University of Varna 1 Studentska Str. 9010 Varna Bulgaria Department of Computer Science and Engineering Faculty of Computing and Automation Technical University of Varna 1 Studentska Str. 9010 Varna Bulgaria

Many background subtraction techniques have been developed in the past years to improve the precision of motion detection in video surveillance systems. Separating the moving objects from the background is a goal in every modern video surveillance system. Mixture of Gaussians (MoG) is one of the most complex methods used for motion detection in video sequences. This paper further investigates the MoG method. The algorithm is implemented in MATLAB and a typical traffic video is estimated. The accuracy of the algorithm is measured as a function of each variable parameter. An optimal set of parameters along with a filter are proposed in order to increase the performance. Copyright © 2013 Inderscience Enterprises Ltd.

关键词： Motion analysis

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Patterns and models for automated user interface construction - In search of the missing links

Patterns and models for automated user interface constructio...

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15th International Conference on Human-computer Interaction, HCI International 2013

作者： Märtin, Christian Herdin, Christian Engel, Jürgen Augsburg University of Applied Sciences Faculty of Computer Science Automation in Usability Engineering Group An der Hochschule 1 86161 Augsburg Germany

ISBN: (纸本)9783642392313

This paper starts with an analysis of current or proven model and pattern-based user interface development methods and techniques. It discusses how these approaches facilitate the construction process and enhance the overall flexibility, usability and user experience of the resulting software. It is shown that HCI patterns meanwhile can contribute heavily to all development aspects of interactive systems. In order to integrate patterns, task, dialog, and object-oriented models to further automate user interface construction, the paper tightly couples these seemingly disparate development paradigms to allow a more powerful interplay. Thereby some of the missing links are identified for letting the pattern-based automated generation of complex parts of high-quality and media-rich applications become a routine job. A well-known smart phone app is examined to demonstrate some steps of the new approach. © 2013 Springer-Verlag.

关键词： User interfaces

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Adaptive prefilter design for control of quasistatic microscanners

Adaptive prefilter design for control of quasistatic microsc...

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6th IFAC Symposium on Mechatronic Systems, MECH 2013

作者： Janschek, Klaus Sandner, Thilo Schroedter, Richard Roth, Matthias Institute of Automation Faculty of Electrical and Computer Engineering Technical University Dresden Dresden Germany AMS Microscanner R and D Dresden Germany

ISBN: (纸本)9783902823311

This paper describes an open loop control approach with analog impedance feedback damping for quasistatic MEMS microscanners based on electrostatic comb transducers. The control task is determined by high dynamic input trajectory following in the presence of an extremely lightly damped mechanical mass-spring system with nonlinear electromechanical characteristics. The approach presented in this paper makes use of a model-based design approach resulting in a nonlinear adaptive prefilter for optimally preshaping of customized trajectory inputs. The open loop control is augmented by an easy to implement resistive analog impedance feedback scheme that introduces electromechanical damping and increases robustness against physical parameter uncertainties of the MEMS microscanner assembly. The paper outlines the underlying MEMS microscanner technology, it describes the mathematical model based on ANSYS computation, and it discusses in detail the proposed control concepts. Simulations and experimental results prove the applicability of the control approach. © 2013 IFAC.

关键词： Damping

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Towards an inclusive Parkinson's screening system

Towards an inclusive Parkinson's screening system

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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Oana Geman Saeid Sanei Iuliana Chiuchisan Adrian Graur Aleš Procházka Oldřich Vyšata Department of Health and Human Development “Stefan eel Mare” University of Suceava Romania Department of Computer Science Electronics and Automation “Stefan cel Mare” University of Suceava Romania Faculty of Engineering and Physical Sciences University of Surrey United Kingdom Department of Computing and Control Engineering Institute of Chemical Technology Czech Republic Department of Neurology Charles University Czech Republic

In this study, brain, and gait dynamic information were combined and used for diagnosis and monitoring of Parkinson's disease (the most important Neurodegenerative Disorder). Analysis of the information corresponding to a prescribed movement involving tremor, and the related changes in brain connectivity is novel and original. Analytically, developing a space-time nonlinear adaptive system which fuses brain and gait information algorithmically is proposed here for the first time. The overall dynamic system will be constrained by the clinical impressions of the patient symptoms embedded in a knowledge-based system. The entire complex constrained problem were solved to enable a powerful model for recognition and monitoring of Parkinson's disease and establishing appropriate rules for its clinical following up.

关键词： Brain modeling Adaptation models Parkinson's disease Chaos Signal processing algorithms Nonlinear dynamical systems

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H pinning synchronization of directed networks with aperiodic sampled-data communications

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IEEE Transactions on Circuits and Systems I: Regular Papers 2014年第11期61卷 3245-3255页

作者： Wen, Guanghui Yu, Wenwu Chen, Michael Z. Q. Yu, Xinghuo Chen, Guanrong Department of Mathematics Southeast University Nanjing210096 China School of Electrical and Computer Engineering RMIT University MelbourneVIC3001 Australia Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia Department of Mechanical Engineering University of Hong Kong Pokfulam Hong Kong School of Automation Southeast University Nanjing210096 China Department of Electronic Engineering City University of Hong Kong Hong Kong SAR Hong Kong

This paper addresses the global {\cal H}\infty pinning synchronization problem for a class of directed networks with aperiodic sampled-data communications. Important yet challenging issues of how many and which nodes should be pinned for realizing global synchronization in a fixed directed network without external disturbances are first discussed. By using a combined tool from the input-delay approach and free-weighting matrices technique, some sufficient synchronizability conditions are then derived for such networks. Furthermore, a multi-step algorithm is designed to estimate the upper bound of the maximum allowable sampling intervals for achieving synchronization. Theoretical results are then extended to global {\cal H}\infty pinning synchronization in fixed and switched directed networks with external disturbances, showing that a finite {\cal H}\infty performance index can be guaranteed under some suitable conditions. Finally, numerical simulations are performed to demonstrate the effectiveness of the analytical results. © 2014 IEEE.

关键词： Complex networks

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Robust textual data streams mining based on continuous transfer learning

Robust textual data streams mining based on continuous trans...

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SIAM International Conference on Data Mining, SDM 2013

作者： Liu, Bo Xiao, Yanshan Yu, Philip S. Cao, Longbing Hao, Zhifeng Faculty of Automation Guangdong University of Technology China Department of Computer Science University of Illinois at Chicago United States Faculty of Computer Guangdong University of Technology China Computer Science Department King Abdulaziz University Saudi Arabia Faculty of Engineering and IT University of Technology Sydney Australia

ISBN: (纸本)9781611972627

In textual data stream environment, concept drift can occur at any time, existing approaches partitioning streams into chunks can have problem if the chunk boundary does not coincide with the change point which is impossible to predict. Since concept drift can occur at any point of the streams, it will certainly occur within chunks, which is called random concept drift. The paper proposed an approach, which is called chunk level-based concept drift method (CLCD), that can overcome this chunking problem by continuously monitoring chunk characteristics to revise the classifier based on transfer learning in positive and unlabeled (PU) textual data stream environment. Our proposed approach works in three steps. In the first step, we propose core vocabulary-based criteria to justify and identify random concept drift. In the second step, we put forward the extension of LELC (PU learning by extracting likely positive and negative microclusters)[ 1], called soft-LELC, to extract representative examples from unlabeled data, and assign a confidence score to each extracted example. The assigned confidence score represents the degree of belongingness of an example towards its corresponding class. In the third step, we set up a transfer learning-based SVM to build an accurate classifier for the chunks where concept drift is identified in the first step. Extensive experiments have shown that CLCD can capture random concept drift, and outperforms state-of-the-art methods in positive and unlabeled textual data stream environments. Copyright © SIAM.

关键词： Data mining

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Guideline to choose a forecasting tool with fuzzy logic support

Guideline to choose a forecasting tool with fuzzy logic supp...

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2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013

作者： Dragomir, Otilia Elena Dragomir, Florin Stefan, Veronica Automation Computer Science and Electrical Engineering Department Valahia University of Targoviste Targoviste Romania Faculty of Economics Valahia University of Targoviste Targoviste Romania

ISBN: (纸本)9781467363211

The aim of this paper is to dress up a guideline to choose a suitable forecasting technique with fuzzy logic support. First of all, the smart grids, framework for low-voltage networks with distributed energy from renewable energy sources, are presented with advantages, limitations and challenges. In the second part, a cross view of the forecasting problem is given in order to establish a common perception of it. In this way, forecasting approaches are studied from both the producers and consumers points of view. Finally, a guideline to choose a forecasting tool with fuzzy logic is given as a supporting tool for low-voltage with distributed energy generation networks capacity allocation and congestion management. With this 'decision support tool' the energy market energy participants should allow a correct prediction of the available capacity of transmission lines and cross-border interconnections, so that it can be efficiently allocated to market actors. © 2013 IEEE.

关键词： Fuzzy logic

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Energy shaping of boundary controlled linear port Hamiltonian systems

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IFAC Proceedings Volumes 2014年第3期47卷 1580-1585页

作者： Yann Le Gorrec Alessandro Macchelli Hector Ramirez Hans Zwart Department of Automation and Micro-Mechatronic Systems FEMTO-ST UMR CNRS 6174 ENSMM 26 chemin de l'épitaphe F-25030 Besançon France Department of Electrical Electronic and Information Engineering “Guglielmo Marconi” (DEI) University of Bologna viale del Risorgimento 2 40136 Bologna Italy University of Twente Faculty of Electrical Engineering Mathematics and Computer Science Department of Applied Mathematics P.O. Box 217 7500 AE Enschede The Netherlands

In this paper, we consider the asymptotic stabilization of a class of one dimensional boundary controlled port Hamiltonian systems by an immersion/reduction approach and the use of Casimir invariants. We first extend existing results on asymptotic stability of linear infinite dimensional systems controlled at their boundary to the case of stable Port Hamiltonian controllers including some physical constraints as clamping. Then the relation between structural invariants, namely Casimir functions, and the controller structure is computed. The Casimirs are employed in the selection of the controllers Hamiltonian to shape the total energy function of the closed loop system and introduce a minimum in the desired equilibrium configuration. The approach is illustrated on the model of a micro manipulation process with partial-actuation on one side of the spatial domain.

关键词： Infinite dimensional port Hamiltonian systems asymptotic stability immersion reduction control design

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An introduction to the special issue on advanced control methods: Theory and application

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WSEAS Transactions on Systems 2013年第6期12卷 301-303页

作者： Pekař, Libor Neri, Filippo Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Zlín Czech Republic WSEAS Transactions on Systems Department of Computer Science University of Naples Federico II Naples Italy

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Art-2 artificial neural networks applications for classification of vibration signals and opera-tional states of wind turbines for intelligent monitoring

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Diagnostyka 2013年第4期14卷 21-26页

作者： Barszcz, Tomasz Bielecki, Andrzej Wójcik, Mateusz Bielecka, Marzena AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics al.Mickiewicza 30 30-059 Cracow Poland AGH University of Science and Technology Faculty of Electrotechnics Automation Computer Science and Biomedical Engineering al. Mickiewicza 30 30-059 Cracow Poland Jagiellonian University Faculty of Physics Astronomy and Applied Computer Science ul. Reymonta 4 30-059 Cracow Poland AGH University of Science and Technology Faculty of Geology Geophysics and Environmental Protectional Mickiewicza 30 30-059 Cracow Poland

In recent years wind energy is the fastest growing branch of the power generation industry. The largest cost for the wind turbine is its maintenance. A common technique to decrease this cost is a remote monitoring based on vibration analysis. Growing number of monitored turbines requires an automated way of support for diagnostic experts. As full fault detection and identification is still a very challenging task, it is necessary to prepare an "early warning" tool, which would focus the attention on cases which are potentially dangerous. There were several attempts to develop such tools, in most cases based on various classification methods. As the ART neural networks are capable to perform efficient classification and to recognize new states when necessary, they seems to be a proper tool for classification of vibration signals of bearing in gears in wind turbines. The verification of ART-2 networks efficiency in this task is the topic of this paper.

关键词： Wind turbines

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