Browsing by Keyword "Big Data"
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Item NUEVO MÉTODO BASADO EN EL HRV PARA LA EVALUACIÓN DE HMIs Y SISTEMAS ITS PARA TRANSPORTE POR CARRETERA INTEGRANDO FACTORES PERSONALES, TEMPORALES Y AMBIENTALES(Universidad de Deusto, 2015-10) Murgoitio, Jesus; Gutierrez, Jose LuisThis doctoral thesis makes an in-depth analysis of HRV (Heart Rate Variability) as calculated from an ECG (Electro Cardio Gram) and how it varies related to the attention span shown by individuals when driving land vehicles. The aim is to use this knowledge in applications where this attention span needs to be estimated, and to focus primarily on measuring the influence that the new HMIs (Human Machine Interfaces) being tried out in the latest generation of vehicles may have on road safety. More specifically, the thesis concentrates on the identification of those parameters which best relate to variability due to personal characteristics such as age, temporary features such as circadian cycles, or the surrounding environment as in road category, in order to integrate all of these features into a complete system. It is this integrating feature which is most lacking in the literature, indeed it is almost non-existent, so that the present work seeks to achieve the most universal classification criteria. This is essential for its use in applications such as vehicle driving, which require a constant state of alert. To this end, an application has been developed which allows patterns to be generated according to a system of four standard variables derived from the HRV, allowing different ways of interacting with on-road vehicles to be compared and assessed. Finally, a further point of note is that the analysis contained in this thesis may be extended to other fields (e.g. risky activities or environments) where it is useful or indeed necessary to take a relative measurement of attention span rather than follow a simple patterns, as understood by the Kahneman model.Item Semantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Database(2015-01-01) Torre-Bastida, Ana I.; Villar-Rodriguez, Esther; Del Ser, Javier; Gil-Lopez, Sergio; Tecnalia Research & Innovation; HPA; Quantum; IAThe amount of on-line available open information from heterogeneous sources and domains is growing at an extremely fast pace, and constitutes an important knowledge base for the consideration of industries and companies. In this context, two relevant data providers can be highlighted: the “Linked Open Data” and “Social Media” paradigms. The fusion of these data sources – structured the former, and raw data the latter –, along with the information contained in structured corporate databases within the organizations themselves, may unveil significant business opportunities and competitive advantage to those who are able to understand and leverage their value. In this paper, we present a use case that represents the creation of an existing and potential customer knowledge base, exploiting social and linked open data based on which any given organization might infer valuable information as a support for decision making. In order to achieve this a solution based on the synergy of big data and semantic technologies will be designed and developed. The first will be used to implement the tasks of collection and initial data fusion based on natural language processing techniques, whereas the latter will perform semantic aggregation, persistence, reasoning and retrieval of information, as well as the triggering of alerts over the semantized information.