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        <article-title>XVIII$JARCA$Workshop$on$Qualitative$Systems$and$ Applications$in$Diagnosis,$Robotics$and$Ambient$ Intelligence$</article-title>
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      <title>-</title>
      <p>El$Toyo,$Almería$(Spain)$$
23I27$June$2016$</p>
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      <title>Proceedings of the</title>
      <p>XVIII JARCA Workshop on Qualitative Systems and Applications in
Diagnosis, Robotics and Ambient Intelligence</p>
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    <sec id="sec-3">
      <title>Edited by</title>
      <p>and</p>
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    <sec id="sec-4">
      <title>Prof. Dr. Juan Antonio Ortega</title>
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    <sec id="sec-5">
      <title>Departamento de Lenguajes y Sistemas Inform´aticos</title>
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    <sec id="sec-6">
      <title>Universidad de Sevilla, Espan˜a</title>
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    <sec id="sec-7">
      <title>Published in CEUR-WS.org Vol-1812 on March 2017</title>
      <p>Copyright c 2016 for the individual papers by their authors. Copying permitted for private and
academic purposes. This volume is published and copyrighted by its editors.</p>
      <p>General Chair
Juan Antonio Ortega (Universidad de Sevilla)</p>
      <p>Program Committee Chair
Zoe Falomir (Universita¨t Bremen)</p>
      <p>Organizing Committee
Jorge Yago Ferna´ndez (Universidad de Sevilla)</p>
      <p>Scientific Committee</p>
      <p>Nu´ria Agell (ESADE-URL)
Cecilio Angulo (U. P. Catalunya)
Pedro Arias (Universidad de Vigo)
Andreu Catal`a (U. P. Catalunya)
Mar´ıa Jos´e Escalona (U. Sevilla)</p>
      <p>Luis Gonz´alez (U. Sevilla)
Isabel Mart´ı (Soluciones Tecnolo´gicas para la Salud y el Bienestar S.A.)</p>
      <p>Natividad Mart´ınez (U. Reutlingen)</p>
      <p>Quim Mel´endez (U. Girona)
Mario Mun˜oz Organero (U. Carlos III)</p>
      <p>Lledo´ Museros (U. Jaume I)</p>
      <p>J. Antonio Ortega (U. Sevilla)</p>
      <p>Francisco Ruiz (U. P. Catalunya)
Albert Sama´ (Universitat Polit`ecnica de Catalunya)
Germa´n Sa´nchez (ESADE-Universitat Ramon Llull)</p>
      <p>Luis Sa´nchez Ferna´ndez(U. Carlos III)</p>
      <p>Ismael Sanz (U. Jaume I)
Ralf Seepold (U. Konstanz)</p>
      <p>Miguel Toro (U. Sevilla)
Jesu´s Torres (U. Sevilla)</p>
      <p>Josep Veh´ı (U. Girona)
Francisco Velasco (U. Sevilla)</p>
      <p>1JARCA’16: http://madeirasic.us.es/jarca16/?lang=en</p>
      <p>In the paper A Proposal of Improvements based on New Technologies for the
Satisfaction of Passengers on Board Passenger Ship by T. V´azquez V´azquez et al., the authors
study di↵erent opinions of experts in the sector of passenger transport by sea on board
of di↵erent types of ships. Their main aim is to develop global applications in real time
that allow to o↵er services on board according to the habits of the passage. They
conclude that the evaluation of passenger satisfaction assessments, based on opinion polling
on di↵erent services provided on passenger ships, should show which are the most valued
and least valued on-board services, which are considered to be the most appropriate to
propose formulas for improvement measures.</p>
      <p>In the paper Is Spain more ecient than the other countries of EU-28? Searching
the answer through DEA and Malmquist Index by T. Sanz et al., the authors analyze
Natural and Managerial eciency of the 28 countries of EU from 2005 to 2013 using the
Malmquist index (MI) and considering crosses on the eciency frontiers between years
with windows of two years. As input variables, gross capital formation (GCF), final
energy consumption, renewable energy consumption and employment have been used.
Gross domestic product (GDP) has been taken as desirable output and greenhouse gas
emissions as undesirable output. The obtained results indicate that Spain has a similar
behavior to those countries that have more time in the EU, both in terms of Managerial
eciency and Natural eciency.</p>
      <p>In the paper Using MDE for the Reconciliation of Entities in Large Data Sources
by J.G. Enr´ıquez et al., the authors propose an approach based on the Model-Driven
Engineering (MDE) paradigm and the virtual-graph technology to solve the problem of
entity reconciliation in large volumes of data. MDE provides a solution scalable to any
domain. And the virtual-graph technology allows to use any type of algorithm based on
graphs to find a solution to a specific problem and to avoid storing all the information
available in the same structure. This solution is applied to the management of large
volumes of data related to the historical heritage of the Andalusian region in Spain.</p>
      <p>In the paper Dynamic Management of Appointments in Sanitary Environments: A
Systematic Literature Review by V. Cid de la Paz Furest et al., the authors provide
an extensive systematic literature review about the use of dynamic programming in the
management of appointments in health centers, in order to analyze the current state of
this technology in the health environment, and to identify keys for future research.</p>
      <p>This book of proceedings is partially supported by the projects of the Spanish Ministry
of Economy and Competitiveness HERMES (TIN2013-46801-C4-1-R ,
TIN2013-46801C4-2-R) and Simon (TIC8052) of the Andalusian Regional Ministry of Economy,
Innovation and Science and with the cooperation of Fidetia (Fundaci´on para la Investigaci´on y
el Desarrollo de las Tecnolog´ıas de la Informacin en Andaluc´ıa).</p>
      <p>The support from the project Cognitive Qualitative Descriptions and Applications2
(CogQDA) funded by the Universit¨at Bremen and from the Bremen Spatial Cognition
Centre is also gratefully acknowledged.</p>
      <p>We would like also to thank the members of the Scientific Committee for their valuable
work during the reviewing process and the additional reviews.</p>
      <p>We also thank Easychair, which was used to manage paper submissions and reviewing
the proceedings, and CEUR Workshop Proceedings (CEUR-WS.org) for indexing these
proceedings.</p>
      <p>Dedicated to Dr. Jose Manuel M´arquez</p>
      <p>We would like to dedicate this book of proceedings to Dr. Jose Manuel M´arquez,
who unfortunately is no longer among us, and who participated very actively in previous
JARCA workshops. We will always have you in our hearts.
2CogQDA: https://sites.google.com/site/cogqda/
• Estimating the Stress for Drivers and Passengers Using Deep Learning
V´ıctor Corcoba Magan˜a, Mario Mun˜oz Organero, Jesu´s Arias Fisteus, and
Luis S´anchez Fern´andez
• Parameter Set Selection and Classification of Sleep Phases Tracing</p>
      <p>Biovital Data</p>
      <p>Agnes Klein, Thomas Penzel, Natividad Mart´ınez Madrid and Ralf Seepold</p>
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