La Transformación del Espacio en la Era Global

El propósito de este artículo es presentar una aproximación a las transformaciones que ha generado la globalización, así como su influencia en la conciencia del espacio en todos los ámbitos de las relaciones interhumanas. Particularmente, reflexiona sobre la influencia del nuevo contexto global respecto a la transformación del espacio, a partir del uso de la categoría "circuitos de apropiación" en la que se conjuntan los niveles local, regional y global

Journalistic transparency using CRFs to identify the reporter of newspaper articles in Spanish

Journalistic transparency rises as a key issue against the lack of credibility to which journalists are exposed, as well as the media manipulators and fake news providers. With the use of Natural Language Processing (NLP) and Machine Learning (ML), it is possible to automate the extraction of information from newspaper articles to know what the sources of information are to verify their veracity. Along with this article, we present the application of Conditional Random Fields (CRFs) for a specific type of Entity Recognition (ER) task, namely, to identify what we have called the “reporter” in newspaper articles, i.e., who or what is the provider of the information. Thus, we have created a labelled corpus for the Spanish language and trained and analysed several CRFs models with a set of specific features. The obtained results suppose a solid baseline for our goal.This research work has been co-funded by Display Connectors S.L. through the project entitled \Identi- fying relevant entities in newspaper articles"(in Spanish \Identi caci on de entidades relevantes en noticias period sticas"), and by the Madrid Regional Government through the project e-Madrid-CM (P2018/TCS- 4307). The e-Madrid-CM project is also co- nanced by the Structural Funds (FSE and FEDER). Also, we give special thanks to the people from the P ublico online newspaper for their work and support

Estado de México y democracia en los albores del siglo XXI

El objetivo del presente capítulo es analizar la bibliografía1 encontrada en las bibliotecas del valle de Toluca en torno a la democracia (también se incluyeron textos con temas afines) en el Estado de México (independientemente de la editorial involucrada en el texto en cuestión) y a la democracia en general (aunque en este caso sólo se consideraron los textos publicados en el Estado de México)

Integrating Olfaction in a Robotic Telepresence Loop

In this work we propose enhancing a typical robotic telepresence architecture by considering olfactory and wind flow information in addition to the common audio and video channels. The objective is to expand the range of applications where robotics telepresence can be applied, including those related to the detection of volatile chemical substances (e.g. land-mine detection, explosive deactivation, operations in noxious environments, etc.). Concretely, we analyze how the sense of smell can be integrated in the telepresence loop, covering the digitization of the gases and wind flow present in the remote environment, the transmission through the communication network, and their display at the user location. Experiments under different environmental conditions are presented to validate the proposed telepresence system when localizing a gas emission leak at the remote environment.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

An Experience in Automatically Building Lexicons for Affective Computing in Multiple Target Languages

Affective Computing in text attempts to identify the emotional charge reflected in it, trying to analyse the moods transmitted while writing. There are several techniques and approaches to perform Affective Computing in texts, but lexicons are their common point. However, it is difficult to find solutions for specific languages different from English. Thus, this article presents an experience in automatically generating lexicons to perform Affective Computing following a multiple-target languages approach. The experience starts with some initial seeds of words in English that define the emotions we want to identify. It then expands them as much as possible with related words in a bootstrapping process and finally obtains a lexicon by processing the context sentences from parallel translated text where the terms have been used. We have checked the resulting lexicons by conducting an exploratory analysis of the affective fingerprint on a parallel corpus with books translated from and to different languages. The obtained results look promising, showing really similar affective fingerprints in different language translations for the same books.The authors are grateful to anonymous referees for providing constructive comments and helping to improve the contents of this manuscript. The research of the authorswas supported in part by theARTEMISJoint Undertaking under grant agreement no. 295373 (project nSafeCer) and by National funding. The research of Ricardo J. Rodríguez was also supported in part by EU Horizon 2020 research and innovation programme under grant agreement no. 644869 (DICE) and by Spanish MINECO project CyCriSec (TIN2014-58457-R). The research of Clara Benac Earle was also supported by Spanish MINECO project STRONGSOFT (TIN2012-39391-C04-02) and by the Madrid Regional Government project nGreens (S2013/ICE-2731)

Estado de México y democracia en los albores del siglo XXI

En este capítulo, que se divide en tres apartados principales, se presenta un marco conceptual que, pensamos, tiene importancia en sí mismo, aunque también ha tenido la utilidad práctica de orientar la elaboración e interpretación de la encuesta sobre la calidad de la democracia en el Estado de México que se incluye en este mismo libro

Improvement of the sensory and autonomous capability of robots through olfaction: the IRO Project

Proyecto de Excelencia Junta de Andalucía TEP2012-530Olfaction is a valuable source of information about the environment that has not been su ciently exploited in mobile robotics yet. Certainly, odor information can contribute to other sensing modalities, e.g. vision, to successfully accomplish high-level robot activities, such as task planning or execution in human environments. This paper describes the developments carried out in the scope of the IRO project, which aims at making progress in this direction by investigating mechanisms that exploit odor information (usually coming in the form of the type of volatile and its concentration) in problems like object recognition and scene-activity understanding. A distinctive aspect of this research is the special attention paid to the role of semantics within the robot perception and decisionmaking processes. The results of the IRO project have improved the robot capabilities in terms of efciency, autonomy and usefulness.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

Analyzing interference between RGB-D cameras for human motion tracking

Multi-camera RGB-D systems are becoming popular as sensor setups in Computer Vision applications but they are prone to cause interference between them, compromising their accuracy. This paper extends previous works on the analysis of the noise introduced by interference with new and more realistic camera configurations and different brands of devices. As expected, the detected noise increases as distance and angle grows, becoming worse when interference is present. Finally, we evaluate the effectiveness of the proposed solutions of using DC vibration motors to mitigate them. The results of this study are being used to assess the effect of interference when applying these setups to human motion tracking.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Plan Propio de Investigación de la UMA. Junta de Andalucía, proyecto TEP2012-53