martes, 24 de mayo de 2016

The 7th International Conference on Ambient Systems, Networks and Technologies - Parte I

El "7th International Conference on Ambient Systems, Networks and Technologies" es la séptima edición de congreso internacional ANT que ha sido celebrado del 23 de Mayo al 26 de Mayo del 2016 en Escuela Técnica Superior de Telecomunicaciones de la Universidad Politécnica de Madrid (España) por su cincuenta aniversario.  Este congreso cuenta con el apoyo de la Universidad Politécnica de Madrid (España), Acadia University (Canadá) y Hasselt University (Bélgica), además de que todos los proyectos aceptados se encuentran publicados en el volumen 83 de la revista "Procedia Computer Science" de la Editorial Elsevier.

Imagen de Madrid
Imagen de Madrid


Con motivo de la aceptación del artículo "Ray: Smart Indoor/Outdoor routes for the blind using Bluetooth 4.0 BLE" el primer día se celebró la inauguración del evento a cargo del Rector de la Universidad Politécnica de Madrid el D. Guillermo Cisneros Pérez y las autoridades organizadoras del ANT 2016.


Autoridades del Congreso
Autoridades del Congreso
Una vez presentado el congreso se procedió a la inauguración del del Profesor de la Universidad  Dr. Antonio Fernández Anta presentando un gran tema como "Saving Energy by Powering Down Links". Dicho profesor es también uno de los fundadores del Instituto IMDEA con el siguiente Abstract (extraído del congreso):
In this talk I will be presenting two related papers that have to do with energy savings in wired networks. In the first paper I present a model that allows to estimate the energy savings of links that implement the new standards IEEE 802.3az Energy Efficient Ethernet, as a function of simple traffic parameters. Under this standard, the link can go to a low power mode when there is not traffic over the link. Then, in a network of (idealized) EEE links, I present algorithms to schedule and route packets in order to reduce energy consumption while maintaining the latency low.
Exposición del Dr. Antonio Fernández Anta
Una vez inaugurado el Congreso se procedió a habilitar las distintas conferencias que se realizaron en las diferentes áreas.

Las que pude asistir y que estaban bastante interesantes pueden encontrarse (los abstracts son extraídos del repositorio oficial de Procedia Computer Science):
  1. Aurora González-Vidal, Victoria Moreno-Cano, Fernando Terroso-Sáenz, Antonio F. Skarmeta, Towards Energy Efficiency Smart Buildings Models Based on Intelligent Data Analytics, Procedia Computer Science, Volume 83, 2016, Pages 994-999, ISSN 1877-0509, DOI: 10.1016/j.procs.2016.04.213.
    Abstract: This work presents how to proceed during the processing of all available data coming from smart buildings to generate models that predict their energy consumption. For this, we propose a methodology that includes the application of different intelligent data analysis techniques and algorithms that have already been applied successfully in related scenarios, and the selection of the best one depending on the value of the selected metric used for the evaluation. This result depends on the specific characteristics of the target building and the available data. Among the techniques applied to a reference building, Bayesian Regularized Neural Networks and Random Forest are selected because they provide the most accurate predictive results.
  2. Etienne Pardo, David Espes, Philippe Le-Parc, A Framework for Anomaly Diagnosis in Smart Homes Based on Ontology, Procedia Computer Science, Volume 83, 2016, Pages 545-552, ISSN 1877-0509, DOI: 10.1016/j.procs.2016.04.255.
    Abstract: Smart homes are pervasive environments to enhance the comfort, the security, the safety and the energy consumption of the residence. An ambient intelligence system uses information of devices to represent the context of the home and its residents. Based on a context database, this system infer the daily life activities of the resident. Hence, abnormal behavior or chronic disease can be detected by the system. Due to the complexity of these systems, a large variety of anomalies may occur and disrupt the functioning of critical and essential applications. To detect anomalies and take appropriate measures, an anomaly management system has to be integrated in the overall architecture. In this paper, we propose an anomaly management framework for smart homes. This framework eases the work of designers in the conception of anomaly detection modules and processes to respond to an anomaly appropriately. Our framework can be used in all heterogeneous environments such as smart home because it uses Semantic Web ontologies to represent anomaly information. Our framework can be useful to detect hardware, software, network, operator and context faults. To test the efficiency of our anomaly management framework, we integrate it in the universAAL middleware. Based on a reasoner, our framework can easily infer some context anomalies and take appropriate measures to restore the system in a full functioning state.
  3. Olivier Flauzac, Carlos Gonzalez, Florent Nolot, Developing a Distributed Software Defined Networking Testbed for IoT, Procedia Computer Science, Volume 83, 2016, Pages 680-684, ISSN 1877-0509, DOI: 10.1016/j.procs.2016.04.151.
    Abstract: The rapid proliferation of the Internet of Things (IoT) has led to growth in the ad-hoc networking scenario. With the recent upcoming technologies of network programmability like SDN may be effectively integrated to create a communication platform. In this work, we present the details of our preliminary study of how to determine the effectiveness of an approach to build a cluster network using Software-Defined Networking (SDN). We will provide an overview of optimum path routing protocol with cluster interaction. Our proposed scheme is a starting point for some experiments providing perspective over SDN deployment in a cluster environment for IoT. With this aim in mind, we propose a routing protocol that manages routing tasks over Cluster-SDN. By using network virtualization and OpenFlow technologies to generate virtual nodes, we simulate a prototype system controlled by SDN. Our designed testbed, is a real openflow protocol evaluation environment comprising networks and applications, which provide flexible control of framework support for large scale experiments.
  4. Jun Zhang, Shuchao Cao, Daniel Salden, Jian Ma, Homogeneity and Activeness of Crowd on Aged Pedestrian Dynamics, Procedia Computer Science, Volume 83, 2016, Pages 361-368, ISSN 1877-0509, DOI: 10.1016/j.procs.2016.04.137.
    Abstract: An aging population is bringing new challenges to the management of escape routes and facility design in many countries. In this paper the movement properties of middle- and old-aged adults are studied with series of single-file movement experiments under laboratory conditions. The fundamental diagrams for two different groups of pedestrians and time-space diagrams are compared. For the groups with different composition and status, the fundamental diagrams are totally different but maintain the same trend. Active crowd leads to inhomogeneous pedestrian flow but higher flow rate, while inactive pedestrians prefer to keep pace with others or keep larger personal space, which leads to more jams and stop-and-go waves. Density and inhomogeneous of speed do not always play main roles on the appearance of stop-and-go.
Presentación de "A framework for Fault Diagnosis in Smart Homes based on ontology"
Presentación de "A framework for Fault Diagnosis in Smart Homes based on ontology"

Acceder a Parte II

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