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Corvera de Asturias, Spain

Casado R.,Treelogic | Younas M.,Oxford Brookes University
Concurrency Computation | Year: 2015

Big Data encompasses large volume of complex structured, semi-structured, and unstructured data, which is beyond the processing capabilities of conventional databases. The processing and analysis of Big Data now play a central role in decision making, forecasting, business analysis, product development, customer experience, and loyalty, to name but a few. In this paper, we examine the distinguishing characteristics of Big Data along the lines of the 3Vs: variety, volume, and velocity. Accordingly, the paper provides an insight into the main processing paradigms in relation to the 3Vs. It defines a lifecycle for Big Data processing and classifies various available tools and technologies in terms of the lifecycle phases of Big Data, which include data acquisition, data storage, data analysis, and data exploitation of the results. This paper is first of its kind that reviews and analyzes current trends and technologies in relation to the characteristics, evolution, and processing of Big Data. Copyright © 2014 John Wiley & Sons, Ltd. Copyright © 2014 John Wiley & Sons, Ltd. Source


Schutte F.,AntwortING Ingenieurburo PartG | Casado R.,Treelogic | Rubiera E.,Fundacion CTIC
ISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management | Year: 2013

This paper describes the work that is being done within the EU research project DISASTER to solve interoperability issues in cross-border emergency operations by applying a technical solution that is able to create a common operational picture. To that end a twofold solution is proposed: The development of a common and modular ontology shared by all the stakeholders taking into account different countries cultural, linguistic and legal issues. And, from that point, bearing in mind that most legacy EMSs (Emergency Management Systems) rely on Service-Oriented-Architectures (SOA), the implementation of transparent SOA mediation algorithms compliant with current data formats and existing solutions. That way, a mediation solution is provided by the DISASTER Mediator, which plays the role of gateway for each EMS enabling a communication based in Web Services. In order to avoid a misunderstanding of shared information it is necessary to create a solution that offers more than a plain translation of terms but rather a concept mediation so the corresponding user is able to understand the situation in its own framework of reference. Source


Casado R.,Treelogic | Rubiera E.,Fundacion CTIC | Sacristan M.,Treelogic | Schutte F.,AntwortING Ingenieurburo PartG | Peters R.,Veiligheids Regio Kennemerland
Natural Hazards and Earth System Sciences | Year: 2015

Emergency management becomes more challenging in international crisis episodes because of cultural, semantic and linguistic differences between all stakeholders, especially first responders. Misunderstandings between first responders makes decision making slower and more difficult. However, spread and development of networks and IT-based emergency management systems (EMSs) have improved emergency responses, which have become more coordinated. Despite improvements made in recent years, EMSs have not still solved problems related to cultural, semantic and linguistic differences which are the real cause of slower decision making. In addition, from a technical perspective, the consolidation of current EMSs and the different formats used to exchange information offers another problem to be solved in any solution proposed for information interoperability between heterogeneous EMSs in different contexts. To overcome these problems, we present a software solution based on semantic and mediation technologies. EMERGency ELements (EMERGEL) (Fundacion CTIC and AntwortING Ingenieurbüro PartG, 2013), a common and modular ontology shared by all the stakeholders, has been defined. It offers the best solution to gather all stakeholders' knowledge in a unique and flexible data model, taking into account different countries' cultural and linguistic issues. To deal with the diversity of data protocols and formats, we have designed a service-oriented architecture for data interoperability (named DISASTER: Data Interoperability Solution At STakeholders Emergency Reaction) providing a flexible extensible solution to solve the mediation issues. Web services have been adopted as specific technology to implement this paradigm that has the most significant academic and industrial visibility and attraction. Contributions of this work have been validated through the design and development of a cross-border realistic prototype scenario, actively involving both emergency managers and emergency-first responders: the Netherlands-Germany border fire. © Author(s) 2015. Source


Iglesias J.,Technical University of Madrid | Bernardos A.M.,Technical University of Madrid | Alvarez A.,Treelogic | Sacristan M.,Treelogic
Proceedings - IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2010 | Year: 2010

This paper presents a light inference system for context management, ready to perform reasoning tasks in resource-constrained devices. The inference system is part of a service-oriented mobile software framework which runs on Java-enabled handheld devices. This framework serves to facilitate the creation of context-aware applications, as it decouples sensor's data acquisition and context processing from the application logic itself. The inference architecture is composed by different modules; some of them encapsulate existing tools (uJena and Bossam) that have been adapted to the mobile working environment. The (rule-based) reasoning is prepared to use a general ontology. Both applications and the framework's components may configure the query set in order to retrieve the information they need from the inference system. In the paper, a validation example shows how this process is done. © 2010 IEEE. Source


Fernandez A.,Fundacion Technological Center | Garcia R.,Fundacion Technological Center | Usamentiaga R.,University of Oviedo | Casado R.,Treelogic
Machine Vision and Applications | Year: 2015

Automatic glasses detection on real face images is a challenging problem due to different appearance variations. Nevertheless, glasses detection on face images has not been thoroughly investigated. In this paper, an innovative algorithm for automatic glasses detection based on Robust Local Binary Pattern and robust alignment is proposed. Firstly, images are preprocessed and normalized in order to deal with scale and rotation. Secondly, eye glasses region is detected considering that the nosepiece of the glasses is usually placed at the same level as the center of the eyes in both height and width. Thirdly, Robust Local Binary Pattern is built to describe the eyes region, and finally, support vector machine is used to classify the LBP features. This algorithm can be applied as the first step of a glasses removal algorithm due to its robustness and speed. The proposed algorithm has been tested over the Labeled Faces in the Wild database showing a 98.65 % recognition rate. Influences of the resolution, the alignment of the normalized images and the number of divisions in the LBP operator are also investigated. © 2015, Springer-Verlag Berlin Heidelberg. Source

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