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Conference on Local computer Networks (LCN)

作者： Alejandra Duque-Torres Adrian Pekar Winston K.G. Seah Oscar Mauricio Caicedo Rendon Department of Telematics Engineering University of Cauca Popayan Colombia Department of Networked Systems and Services Budapest University of Technology and Economics Hungary School of Engineering and Computer Science Victoria University of Wellington New Zealand

Data Centre Networks (DCNs) handle large volumes of data transmission that can consume a lot of bandwidth in short bursts or over prolonged periods of time. One class of traffic that constantly poses a challenge is Heavy-Hitter (HH) flows - large-volume flows that consume considerably more network resources than other flows combined. The identification of such flows is critical to prevent network congestion and overall network performance degradation. Most of the existing methods to identify HHs are based on thresholds, i.e., if the flow exceeds a predefined threshold, it will be marked as a HH; otherwise, it will be classified as a non-HH. However, these approaches present two significant issues. First, there is no consistent and accepted threshold that would reliably classify flows. Second, the existing threshold approaches use counters (duration, packets, and bytes); thus their accuracy depends on how complete the flow information is. In this paper, we address those issues using per-flow packet size distribution which can capture the behaviour and dynamics of network traffic flow more accurately than the counters in the early stage of the flow. We then propose the use of the template matching technique to identify HHs and achieved a classification accuracy of 96% using only the first 14 packets of a flow.

关键词： Probability density function Reliability Random variables Data centers Estimation Quality of service Generators

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A subject syllabus similarity analysis to address students mobility issue 12

A subject syllabus similarity analysis to address students m...

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12th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2018

作者： Saquicela, Victor Baculima, Fernando Orellana, Gerardo Orellana, Marcos Piedra, Nelson Espinoza, Mauricio Vanegas, Pablo Computer Science Department University of Cuenca Cuenca Azuay010150 Ecuador School of Systems Engineering and Telematics University of Azuay Cuenca Azuay010150 Ecuador Computer Science Department Technical University of Loja Cuenca Azuay010150 Ecuador

ISBN: (纸本)9781941763858

Currently, students' mobility in Higher Education has become very common and frequent. Although the transitioning process could be thought to be smooth and quick, students moving from one institution to another must go through rigorous and unfortunately, non-standardized academic validation processes. Usually, most part of the process, including credits recognition and syllabi comparison are manually performed, consuming excessive time and massive human effort. Some of these academic processes however, could be optimized by means of computer technologies, which support data processing and help solving real-life problems usually found in the academic field. In the specific case of Ecuador, we have identified that each Higher Education Institution (HEI) manages customized curricular information management systems which include non-standard syllabi structured documents. The existence of custom made formats at every HEI has originate a large variety of data models. In this work, we propose to address these problems by identifying similarities between different current syllabi of Ecuadorian HEIs, aiming to the optimization, integration and improvement of the academic activities related to the students' mobility processes, such as credits recognition. This proposal relies on the definition of a standard data model, which is used to describe the academic syllabus and that allows the implementation of a computer-based system focused on similarities detection through the use of semantic web technologies and text mining tools. Copyright © 2018 by the International Institute of Informatics and Systemics.

关键词： Students

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Self-Awareness for Autonomous systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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Study of Correlation and Power Imbalance on the MIMO Distributed System

Study of Correlation and Power Imbalance on the MIMO Distrib...

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European Conference on Antennas and Propagation

作者： J. C. Gonzalez-Macias J. F. Valenzuela-Valdes P. Padilla J. Carmona-Murillo Department of Computer and Telematic Systems Engineering University of Extremadura Department of Signal Theory Telematics and Communications - CITIC University of Granada

ISBN: (纸本)9781509037421

This work is focused on achieving large performance gains in wireless networks by means of distributed or cooperative Multiple Input Multiple Output (MIMO) systems. In this contribution, it is studied in detail the correlation of different Cooperative MIMO systems, based on measuring these systems on a reverberation chamber. Cooperative systems with more than 10 antennas are studied in detail. These results show the impact of these new propagation channels on the 5th generation mobile communication systems, which will be of importance for the development and characterization of such systems. In this new systems power imbalance acquires more importance.

关键词： MIMO systems Propagation channel Capacity measurement multiple input multiple output systems Capacitors Distributed systems Wireless networks

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IDTxl: The information dynamics toolkit xl: A python package for the efficient analysis of multivariate information dynamics in networks

arXiv

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arXiv 2018年

作者： Wollstadt, Patricia Lizier, Joseph T. Vicente, Raul Finn, Conor Martinez-Zarzuela, Mario Mediano, Pedro Novelli, Leonardo Wibral, Michael MEG Unit Brain Imaging Center Goethe-University Frankfurt Fankfurt am Main Germany Centre for Complex Systems Faculty of Engineering and IT University of Sydney SydneyNSW Australia Computational Neuroscience Lab Institute of Computer Science Tartu Estonia Data61 CSIRO EppingNSW Australia Communications and Signal Theory and Telematics Engineering University of Valladolid Valladolid Spain Computational Neurodynamics Group Department of Computing Imperial College London London United Kingdom Max Planck Institute for Dynamics and Self-Organization Göttingen Germany Campus Institute for Dynamics of Biological Networks Georg-August Universität Göttingen Germany

We present IDTxl (the Information Dynamics Toolkit xl), a new open source Python toolbox for effective network inference from multivariate time series using information theory, available from GitHub (https://***/pwollstadt/IDTxl). Information theory (Cover & Thomas, 2006;MacKay, 2003;Shannon, 1948) is the mathematical theory of information and its transmission over communication channels. Information theory provides quantitative measures of the information content of a single random variable (entropy) and of the information shared between two variables (mutual information). The defined measures build on probability theory and solely depend on the probability distributions of the variables involved. As a consequence, the dependence between two variables can be quantified as the information shared between them, without the need to explicitly model a specific type of dependence. Hence, mutual information is a model-free measure of dependence, which makes it a popular choice for the analysis of systems other than communication channels. Transfer entropy (TE) (Schreiber, 2000) is an extension of mutual information that measures the directed information transfer between time series of a source and a target variable. TE has become popular in many scientific disciplines to infer dependencies and whole networks from data. Notable application domains include neuroscience (Wibral, Vicente, & Lindner, 2014) and dynamical systems analysis (Lizier, Prokopenko, & Zomaya, 2014) (see Bossomaier, Barnett, Harré, & Lizier (2016) for an introduction to TE and a comprehensive discussion of its application). In the majority of the applications, TE is used in a bivariate fashion, where information transfer is quantified between all sourcetarget pairs. In a multivariate setting, however, such a bivariate analysis may infer spurious or redundant interactions, where multiple sources provide the same information about the target. Conversely, bivariate analysis may also miss synergistic

关键词： High level languages

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Experimental demonstration of an extreme learning machine based on Fabry Perot lasers for parallel neuromorphic processing

Experimental demonstration of an extreme learning machine ba...

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Optical Fiber Communication Conference, OFC 2016

作者： Sarantoglou, George Sozos, Kostas Kamalakis, Thomas Mesaritakis, Charis Bogris, Adonis Department of Information and Communication Systems Engineering University of the Aegean Samos Karlovassi83200 Greece University of West Attica Department of Informatics & Computer Engineering Ag. Spyridonos 12243 Egaleo Greece Harokopio University of Athens Department of Informatics &Telematics Eleftheriou Venizelou 70 Kallithea-Attiki Athens17676 Greece

We present experimental results regarding dispersion equalization in IM-DD transmission systems with an extreme learning machine based on a Fabry Perot laser. The exploitation of two longitudinal modes yields enhanced...

ISBN: (纸本)9781943580071

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Corrigendum to “RF fingerprint measurements for the identification of devices in wireless communication networks based on feature reduction and subspace transformation” [Measurement 58 (2014) 468–475]

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Measurement 2017年 103卷 379-379页

作者： J.L. Padilla P. Padilla J.F. Valenzuela-Valdés J. Ramírez J.M. Górriz Department of Electronics and Computer Technology – CITIC University of Granada 18071 Granada Spain Department of Signal Theory Telematics and Communications – CITIC University of Granada 18071 Granada Spain Department of Computer and Telematic Systems Engineering University of Extremadura 06800 Merida Spain

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Key factors for a proper available-bandwidth-based flow admission control in ad-hoc wireless sensor networks 13

Key factors for a proper available-bandwidth-based flow admi...

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13th International Conference on Ad-hoc Networks and Wireless, ADHOC-NOW 2014 accompanied by 2nd International Workshop on Emerging Technologies for Smart Devices, ETSD 2014, 2nd International Workshop on Marine Sensors and systems, MARSS 2014, Multimedia Wireless ad hoc Networks, MWaoN 2014, Security in Ad Hoc Networks, SecAN 2014, 2nd Smart Sensor Protocols and Algorithms, SSPA 2014 and 8th International Workshop on Wireless Sensor, Actuator and Robot Networks, WiSARN 2014

作者： Farooq, Muhammad Omer Kunz, Thomas Institute of Telematics University of Luebeck Luebeck Germany Department of Systems and Computer Engineering Carleton University Ottawa Canada

ISBN: (纸本)9783662463376

In this paper, first, we present our simulation studies that help to outline key factors for a proper available-bandwidth-based flow admission control in ad-hoc Wireless Sensor Networks (WSNs). In most cases, WSNs use the IEEE 802.15.4 standard, therefore our simulation studies are based on the same standard. The identified key factors are: (i) the overheads (back-off, retransmission, contention window, ACK packet, and ACK waiting time) associated with the unslotted IEEE 802.15.4 Carrier Sense Multiple Access Collision Avoidance (CSMA-CA) MAC layer protocol reduce the amount of available bandwidth, (ii) the impact of the MAC layer overheads on a node’s available bandwidth is a function of the number of active transmitters and data traffic load within the interference range of the node, (iii) contention count on a node that is not on a flow’s data forwarding path is a function of the number of active transmitters (along the flow’s data forwarding path) within the interference range of the node, and (iv) a flow’s intra-flow contention count on a node (along the flow’s data forwarding path) depends on the hopcount distance of the node from the source and the destination nodes, and the node’s interference range. Second, we present a survey of stateof- the-art flow admission control algorithms for ad-hoc wireless networks. The survey demonstrates that the state-of-the-art flow admission control algorithms do not completely consider the key identified factors or make incorrect assumptions about them. Third, we propose techniques that an available-bandwidth-based flow admission control algorithm can use to incorporate the key identified factors. Hence, the work presented in this paper can serve as a basis of a more effective available-bandwidth-based flow admission control algorithm for ad-hoc wireless networks. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Quality of service

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Monitoring of electric power systems: Application to self-sufficient hybrid renewable energy systems 9

Monitoring of electric power systems: Application to self-su...

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9th International Conference on Compatibility and Power Electronics, CPE 2015

作者： Perez, Isaias Gonzalez Godoy, Antonio Jose Calderon Godoy, Manuel Calderon Agustin, Jose Luis Herrero Department of Electrical Engineering Electronics and Automatics University of Extremadura Badajoz Spain Department of Computer Systems and Telematics Engineering University of Extremadura Badajoz Spain

ISBN: (纸本)9781479963010

Supervisory Control and Data Acquisition systems play a paramount role in the operation of electrical power systems. In this paper, two monitoring systems are developed and applied for self-sufficient hybrid systems based on renewable energy and hydrogen. Siemens WinCC flexible and National Instruments LabVIEW software packages have been used. The first one runs in an operator panel linked with a PLC. For the LabVIEW-based SCADA, a data acquisition card collects sensors information. Their main features and capabilities for local and remote use are exposed. © 2015 IEEE.

关键词： Monitoring

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Color space selection for self-organizing map based foreground detection in video sequences

Color space selection for self-organizing map based foregrou...

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2014 International Joint Conference on Neural Networks, IJCNN 2014

作者： Lopez-Rubio, Francisco Javier Lopez-Rubio, Ezequiel Luque-Baena, Rafael Marcos Dominguez, Enrique Palomo, Esteban J. Department of Computer Languages and Computer Science University of Malaga Malaga29071 Spain Department of Computer Systems and Telematics Engineering University of Extremadura Merida06800 Spain

ISBN: (纸本)9781479914845

The selection of the best color space is a fundamental task in detecting foreground objects on scenes. In many situations, especially on dynamic backgrounds, neither grayscale nor RGB color spaces represent the best solution to detect foreground objects. Other standard color spaces, such as YCbCr or HSV, have been proposed for background modeling in the literature;although the best results have been achieved using diverse color spaces according to the application, scene, algorithm, etc. In this work, a color space and color component weighting selection process is proposed to detect foreground objects in video sequences using self-organizing maps. Experimental results are also provided using well known benchmark videos. © 2014 IEEE.

关键词： Self organizing maps

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