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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.

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.

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.

Gonzalez-Aparicio M.T.,University of Oviedo | Younas M.,Oxford Brookes University | Tuya J.,University of Oviedo | Casado R.,Treelogic
Proceedings - International Conference on Advanced Information Networking and Applications, AINA | Year: 2016

NoSQL databases provide high availability and efficiency in data processing but at the expense of weaker consistency. In this paper, we propose a new approach in order to test NoSQL key/value databases in general and their CRUD operations in particular. We design a new context-aware model that takes into account the contextual requirements of clients (users) and the NoSQL database system. Accordingly, we develop a transaction model and testing criteria in order to test NoSQL databases by taking into account transactional and non-transactional CRUD operations. Results from testing criteria are used to analyse the trade-off between availability and consistency of NoSQL databases. In addition, these are used to help NoSQL database users and developers to choose between transactional and non-transactional CRUD operations. © 2016 IEEE.

Almeida A.,University of Deusto | Orduna P.,University of Deusto | Castillejo E.,University of Deusto | Lopez-De-Ipina D.,University of Deusto | Sacristan M.,Treelogic
Personal and Ubiquitous Computing | Year: 2011

As the dependence on mobile devices increases, the need for supporting a wider range of users and devices becomes crucial. Elders and people with disabilities adopt new technologies reluctantly, a tendency caused by the lack of adaptation of these technologies to their needs. To address this challenge, this paper describes a framework, Imhotep, whose aim is to aid developers in the accessible application creation process, making the creation of user-centered applications easier and faster. Our framework allows to easily adapt the applications to the constraints imposed by the user capabilities (sensorial, cognitive, and physical capabilities) and device capabilities by providing a repository that will manage the compilation and deployment of applications that include a set of preprocessor directives in the source code. These directives are enhanced with concepts that are automatically adjusted to the current trends of mobile devices by using a Fuzzy Knowledge-Eliciting Reasoner. Our final goal is to increase the number of applications targeted to elders and people with disabilities providing tools that facilitate their development. The paper also describes the evaluation of both the accuracy of the fuzzy terms generated for mobile devices and the usability of the proposed platform. © Springer-Verlag London Limited 2011.

Almeida A.,University of Deusto | Orduna P.,University of Deusto | Castillejo E.,University of Deusto | Lopez-de-Ipina D.,University of Deusto | Sacristan M.,Treelogic
Computers in Human Behavior | Year: 2012

While creating a framework for adaptive mobile interfaces for m-learning applications we found that in order to ease the use of our framework we needed to present the mobile device characteristics to non-expert users in a easy to understand manner. Using fuzzy sets to represent the characteristics of mobile devices, non-expert developers such as teachers or instructional designers can actively participate in the development or adaptation of the educational tools. To be able to automatically generate the fuzzy membership functions of the sets we needed the data of the mobile device market, regrettably this information is not publicly available. To tackle this problem we have developed a method to estimate the market share of each mobile device based on the popularity metrics recovered from Google Trends and then we use that estimated value as the input to generate the fuzzy set of each characteristic. The proposed method allows us to not only model the state of the market in different periods of time, but also to localize the results to adapt them to the mobile market of specific countries. In this paper we will describe the proposed algorithm and we will discuss the obtained results. © 2012 Elsevier Ltd. All rights reserved.

Gomez-Goiri A.,University of Deusto | Castillejo E.,University of Deusto | Orduna P.,University of Deusto | Laiseca X.,University of Deusto | And 2 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

People's impairments cause a wide range of difficulties in everyday tasks. Particularly, handicapped people face many challenges both at home, but especially outside it, where their reduced mobility is a burden. Buying in a supermarket can be sometimes troublesome for them and so as to facilitate this task, a product locator application is proposed. This application runs on heterogeneous personal mobile devices keeping the user private information safe on them, and it locates the desired products over each supermarket's map. © 2011 Springer-Verlag.

Klein B.,University of Deusto | Laiseca X.,University of Deusto | Casado-Mansilla D.,University of Deusto | Lopez-De-Ipina D.,University of Deusto | Nespral A.P.,Treelogic
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Increasingly, more important information is being shared through Twitter. New opportunities arise to use this tool to detect emergencies and extract crucial information about the scope and nature of that event. A major challenge for the extraction of emergency event information from Twitter is represented by the unstructured and noisy nature of tweets. Within the SABESS project we propose a combined structural and content based analysis approach. We use social network analysis to identify reliable tweets and content analysis techniques to summarize key emergency facts. © 2012 Springer-Verlag.

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.

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.

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