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E-Health and Bioengineering Conference (EHB)

作者： Cătălin Nicolae Calistru Daniel Timofte Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi ROMANIA Department of General Surgery Grigore T. Papa University of Medicine and Pharmacy IASI ROMANIA

ISBN: (纸本)9781467375467

Genetic algorithms (GAs) are optimization techniques inspired from natural genetics. A genetic algorithm has in view to evaluate many points in the parameter space with the aim to converge to the global optimal solution. Mathematica software is an excellent symbolic tool for hard tasks and is used in this paper. Proportional Integral Derivative (PID) control is very important for the quality of robust control, new approaches as symbolic to genetic tuning of PID controllers are excellent choice to solve this problem. A global integral index ISE (Integral of Squared Error) is minimized. At first the PID Symbolic Tuning is considered. The complicated problem of robust genetic tuning is solved. Some examples obtained by simulation are considered in both cases.

关键词： Genetics Tuning Genetic algorithms Stability criteria Sociology Statistics Robustness

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A new technique for improving pupil detection algorithm

A new technique for improving pupil detection algorithm

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International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Radu Gabriel Bozomitu Vlad Cehan Robert Gabriel Lupu Cristian Rotariu Constantin Barabaşa Faculty of Electronics “Gheorghe Asachi” Technical University Iasi Romania Faculty of Computer Engineering and Automatic Control “Gheorghe Asachi” Technical University Iasi Romania “Grigore T. Popa” University of Medicine and Pharmacy Iasi Romania

In this paper are presented several techniques used for improving the pupil detection algorithm based on a head mounted eye tracking system employing an infrared video camera. The coordinates of the eye pupil center obtained by any eye tracker device are affected by many noise sources. In order to improve the pupil detection position, several different techniques of real time filtering and high frequency spikes canceling from the signal provided by the pupil detection algorithm are presented. The optimal parameters of the real time filter, depending on the application sampling frequency, have been determined.

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Introducing aceMote: An energy efficient 32 bit mote

Introducing aceMote: An energy efficient 32 bit mote

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12th International Conference on Development and Application Systems, DAS 2014

作者： Stan, Andrei Botezatu, Nicolae Faculty of Automatic Control and Computer Engineering Technical University Gheorghe Asachi Iasi Romania

ISBN: (纸本)9781479950942

Wireless sensors networks is an active research topic. The sensor nodes (i.e. motes) are the main building blocks of these networks. There is a permanent concern for building more and more efficient motes in order to satisfy the demanding specifications of a sensor network. This paper introduces a new mote device: aceMOTE which is based on a 32 bit microcontroller. The hardware structure of the mote is presented and a comparison is made with similar popular devices. An experimental analysis is made regarding the energy consumption and the results prove that a 32 bit microcontroller is a viable choice for usage in mote design compared with the more frequently used 8 bit and 16 bit microcontrollers. © 2014 IEEE.

关键词： Energy utilization

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Game controller Based On Biomedical Signals

Game Controller Based On Biomedical Signals

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International Conference on Methods and Models in Automation and Robotics

作者： Aleksandra Kawala-Janik Michal Podpora Arkadiusz Gardecki Wojciech Czuczwara Jerzy Baranowski Waldemar Bauer Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology ul. Proszkowska 76 bud. 1 45-756 Opole Poland AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering al. Mickiewicza 30 30-059 Krakow Poland

ISBN: (纸本)9781479987023

Modern, based on biomedical signals interfaces have become recently very complex, however the complexity does not always lead to increased functionality or usability. In particular, when it comes to handicapped users, the currently available solutions are far from satisfactory. In this paper an innovative approach for biomedical signals based interfaced with the implementation of an inexpensive gaming headset Emotiv EPOC was presented. The main goal was to design, and develop an intuitive and user-friendly interface based on implementation of various biomedical signals such as EEG or EMG. The project was primarily intended for handicapped users as a replacement for traditional interfaces such as keyboard or mouse, however its potential use was extended. The proposed system differs from the already existing interfaces mainly because of its versatility to work with various biomedical signals, thus enabling a single interface to be controlled with different devices. Initial investigation has proven that Emotiv EPOC headset could be applied as an inexpensive, easily available on the open market tool for Human-computer Interaction (HCI) systems for the gaming purpose.

关键词： Information Interfaces Human-computer Interaction (HCI) User Interfaces electroencephalography (EEG) Brain-computer Interfaces (BCI) non-integer filter games control gaming

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Analysis of the proximity and skin effects on copper loss in a stator core

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Archives of Electrical engineering 2014年第2期63卷 211-225页

作者： Mlot, Adrian Korkosz, Mariusz Grodzki, Piotr Lukaniszyn, Marian Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Prószkowska 76 45-758 Opole Poland Rzeszow University of Technology Faculty of Electrical and Computer Engineering W. Pola 2 35-959 Rzeszów Poland

Accurate prediction of power loss distribution within an electrical device is highly desirable as it allows thermal behavior to be evaluated at the early design stage. Three-dimensional (3-D) and two-dimensional (2-D) finite element analysis (FEA) is applied to calculate dc and ac copper losses in the armature winding at high-frequency sinusoidal currents. The main goal of this paper is showing the end-winding effect on copper losses. Copper losses at high frequency are dominated by the skin and proximity effects. A time-varying current has a tendency to concentrate near the surfaces of conductors, and if the frequency is very high, the current is restricted to a very thin layer near the conductor surface. This phenomenon of nonuniform distribution of time-varying currents in conductors is known as the skin effect. The term proximity effect refers to the influence of alternating current in one conductor on the current distribution in another, nearby conductor. To evaluate the ac copper loss within the analyzed machine a simplified approach is adopted using one segment of stator core. To demonstrate an enhanced copper loss due to ac operation, the dc and ac resistances are calculated. The resistances ratio ac to dc is strongly dependent on frequency, temperature, shape of slot and size of slot opening.

关键词： Finite element method

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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A control theoretical approach to congestion control of TCP/AQM networks 10

A control theoretical approach to congestion control of TCP/...

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2009 10th European control Conference, ECC 2009

作者： Alvarez, Teresa Salim, Anuar Maestre, J.M. Department of Engineering Science and Automatic Control School of Computer Engineering University of Valladolid Spain Department of Engineering Science and Automatic Control Faculty of Science University of Valladolid Spain Dept. de Ingeniería de Sistemas y Automática Escuela Superior de Ingenieros University of Seville Spain

ISBN: (纸本)9783952417393

This paper shows how control techniques, such as PID or generalized predictive control, can improve the performance of TCP/IP networks when dealing with congestion. Drop tail, or more sophisticated AQM techniques such as RED, perform worse than process control techniques. A comparison between the different methods in different working scenarios is analyzed. Two different GPC controllers are evaluated. One considers the model resulting from on-line identification and the other is the linearization of the non-linear model. © 2009 EUCA.

关键词： Transmission control protocol

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Do not cancel my race with cyber-physical systems 19

Do not cancel my race with cyber-physical systems

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Zamfirescu, Constantin B. Pirvu, Bogdan-Constantin Loskyll, Matthias Zuehlke, Detlef Innovative Factory Systems Trippstadter Strasse 122 Kaiserslautern Germany Lucian Blaga University of Sibiu Faculty of Engineering Department of Computer Science and Automatic Control Emil Cioran 17 Sibiu Romania

ISBN: (纸本)9783902823625

To engineer the factory of the future the paper argues for a reference model that is not necessary restricted to the control component, but integrates the physical and human components as well. This is due to the real need to accommodate the latest achievements in factory automation where the human is not merely playing a simple and clear role inside the control-loop, but is becoming a composite factor in a highly automated system ("man in the mesh"). The concept is demonstrated by instantiating the anthropocentric cyber-physical reference architecture for smart factories (ACPA4SF) in a concrete case study that needs to accommodate the ongoing researches from the SmartFactoryKL facility (e.g. augmented reality, mobile interaction technology, virtual training of human operators). © IFAC.

关键词： Embedded systems

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Artificial intelligence modelling methodologies applied to a polymerization process 4

Artificial intelligence modelling methodologies applied to a...

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4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2014

作者： Curteanu, Silvia Dragoi, Elena-Niculina Leon, Florin Butnariu, Cristina "Gheorghe Asachi" Technical University of Iasi Faculty of Chemical Engineering and Environmental Protection 73 Prof. dr. doc. D. Mangeron Blvd. Iasi700050 Romania Faculty of Automatic Control and Computer Engineering Bucharest Romania

ISBN: (纸本)9789897580383

A series of modelling methodologies based on artificial intelligence tools are applied to solve a complex real-world problem. Neural networks and support vector machines are used as models and differential evolution and clonal selection algorithms as optimizers for structural and parametric optimization of the models. The goal is to make a comparative analysis of these methods for the case study of the free radical polymerization of styrene, a complex, difficult to model process, where the monomer conversion and molecular masses are predicted as a function of reaction conditions, i.e. temperature, amount of initiator and time. Four modelling methodologies are developed and evaluated in terms of accuracy. © 2014 SciTePress. All rights reserved.

关键词： Support vector machines

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