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UPB Scientific Bulletin, Series C: Electrical engineering 2014年第1期76卷 17-30页

作者： Ismail, Andrei-Adnan Florea, Adina-Magda Department of Computer Science and Engineering Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania

Ambient Intelligence is an active research field that studies embed- ding computing elements into the environment - Weiser's concept of disap- pearing computer. Practical experiments are complex to orchestrate, because of the technical expertise required in hardware, software engineering and machine learning. The entry barrier for running such an experiment is very high, requiring coordinated e orts at all levels in a research team, and an actual laboratory with sensors in order to collect the data. In this work, we show how the power of Amazon's EC2 cloud can be lever- aged in conjunction with a record and replay system for sensor data in order to allow researchers from anywhere in the world to run such experiments. The software infrastructure used for the experiments is open-source and freely available at https: // github. com/ ami-lab/ AmI-Platform . This platform is used in the AmI Laboratory (EF 210) of the University Po- litehnica of Bucharest.

关键词： Open source software

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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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Study of the long-term effect of STDP in areas of spiking neurons

Study of the long-term effect of STDP in areas of spiking ne...

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

作者： Mircea Hulea Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Romania

The spike-timing-dependent-plasticity (STDP) is a mechanism for adjusting the efficacies of biological synapses that was observed and studied in vitro. However, the STDP effect for natural neurons in vivo is subject of debate because in several experiments when the neurons are stimulated indirectly by natural paths the STDP effect was insignificant. Starting from these aspects this work studies by simulation the STDP long-term effect on synaptic plasticity in order to determine whether the long-term potentiation (LTP) and the long-term depression (LTD) could compensate each other during long-term activity of the neural network. The results show that for some synapses the weights start to oscillate in small intervals around long term stable values that are different from the limits of the weights variation interval. This behavior is caused by the fact that, indeed, the effects of LTP and LTD compensate each other at certain weight values when the same pattern of the input stimuli is presented repeatedly to the network input. The LTP and LTD compensation that determines long term weights stability to other values than the weight variation limits could improve the sensitivity of the learning process in the biological networks because no neuron specific limitation is introduced.

关键词： Neurons Biological system modeling Biological neural networks Computational modeling Brain modeling Biomembranes

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Using spin images for hand gesture recognition in 3D point clouds

Using spin images for hand gesture recognition in 3D point c...

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

作者： Bogdan Apostol Constantina Raluca Mihalache Vasile Manta Faculty of Automatic Control and Computer Engineering Technical University “Gheorghe Asachi” Iasi Romania

Depth information from a captured scene can provide a more complete description of objects which can be exploited for recognition purposes. In this paper we propose a new approach to static hand gesture recognition that explores only depth information acquired with a Microsoft Kinect camera. Firstly, the regions of interest are extracted from depth data and a 3D point cloud is created taking into consideration the capture device settings. Then, for each 3D point in the simplified point cloud the local spin image descriptor is computed. The performance of hand pose detection greatly depends on the 3D shape descriptor used. KPCA is used for dimensionality reduction and for noise elimination from obtained spin image histograms. The most relevant features in terms of principal components are served as input for a SVM classifier. Experimental results show a high level of accuracy in recognizing static hand gestures using spin images in 3D point clouds.

关键词： Three-dimensional displays Support vector machines Kernel Feature extraction Histograms Training Vectors

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Introducing aceMote: An energy efficient 32 bit mote

Introducing aceMote: An energy efficient 32 bit mote

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International Conference on Development and Application Systems

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

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.

关键词： Microcontrollers Wireless sensor networks computer architecture Power demand Optimized production technology Hardware Energy consumption

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Adaptive observer for nonlinear fractional-order systems

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International Journal of Adaptive control and Signal Processing 2016年第3期31卷

作者： Ibrahima N'doye Taous-Meriem Laleg-Kirati Mohamed Darouach Holger Voos Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Research Center for Automatic Control of Nancy (CRAN UMR 7039 CNRS) University of Lorraine IUT de Longwy 186 rue de Lorraine 54400 Cosnes et Romain France Faculty of Science Technology and Communication (FSTC) University of Luxembourg 6 rue Richard Coudenhove-Kalergi L-1359 Luxembourg

In this paper, an adaptive observer is proposed for the joint estimation of states and parameters of a fractional nonlinear system with external perturbations. The convergence of the proposed observer is derived in terms of linear matrix inequalities (LMIs) by using an indirect Lyapunov *** proposed adaptive observer is also robust against Lipschitz additive nonlinear uncertainty. The performance of the observer is illustrated through some examples including the chaotic Lorenz and Lü's systems. Copyright © 2016 John Wiley & Sons, Ltd.

关键词： adaptive observer design fractional-order nonlinear system indirect Lyapunov approach linear matrix inequality (LMI) chaotic Lorenz system chaotic Lü's system

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Educational Innovation: Interaction and Relationship Inside A Sub-Module

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Procedia - Social and Behavioral Sciences 2015年 186卷 395-400页

作者： Fernando Oterino-Echavarri Jose Manuel Lopez-Guede Ekaitz Zulueta Manuel Graña Department of Electronics University College of Engineering of Vitoria Basque Country University (UPV/EHU) C/Nieves Cano 12 01006 Vitoria-Gasteiz Spain Department of Systems Engineering and Automatic Control University College of Engineering of Vitoria Basque Country University (UPV/EHU) C/Nieves Cano 12 01006 Vitoria-Gasteiz Spain Computational Intelligence Group Basque Country University (UPV/EHU) Department of Computer Science and Artificial Intelligence Faculty of Informatics Basque Country University (UPV/EHU) Paseo Manuel de Lardizabal 1 20018 Donostia-San Sebastián Spain

In this paper authors will expose a work developed with the aim to submit an educational innovation project proposal to a competitive call for Educational Innovation Projects 2013-2015 of the Education Advisory Service of the Basque Country University (UPV/EHU, Spain). This project is being carried out in the computer Structure and computer Architecture sub-module of the Degree in computer Management and Information Systems engineering of the University College of engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU). The project is based on the active learning, more specifically, on cooperative learning. In this paper we have given deeper insight the dependencies between all the subjects belonging to the analyzed sub-module, which is composed of two subjects named computer Structure and computer Architecture. We have included in such analysis a previous subject named Principles of Digital Systems Design, which does not belong to that sub-module, but plays an important role in the acquisition of the knowledge and competencies of the two previously referenced subjects.

关键词： Active Learning Cooperative Learning computer engineering computer Structure computer Architecture

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Generalized media access control algorithms for embedded network systems

Generalized media access control algorithms for embedded net...

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

作者： Mihai Postolache Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi Romania

Embedded network systems use serial communication protocols and simplified media access control schemes in order to exchange information among several interconnected nodes. Within this paper a generalization of the classical media access control (MAC) protocols used in small embedded serial networks of microcontrollers is investigated and an implementation platform for testing the proposed MAC schemes is described. Thus, the classic master-slave and token-bus protocols turn out to be just two particular cases of the proposed generalized media access control (GMAC) algorithms: a centralized and a distributed one, respectively. By applying these generalized algorithms in practice, significant increase in data throughput is obtained, as it resulted from the simulation tests and then by practical implementation on a typical embedded network of microcontrollers.

关键词： Media Access Protocol Media Master-slave Monitoring Embedded systems Communication channels

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