- Hits: 112
Pablo Orduña, Javier García-Zubia, Jaime Irurzun, Diego López-de-Ipiña, Luis Rodriguez-Gil. Enabling mobile access to Remote Laboratories. IEEE EDUCON 2011 (ISBN: 978-1-61284-641-5). April 2011.
Abstract: Remote Laboratories constitute a first order didactic resource in engineering faculties. Their use from mobile devices to increase the availability of the experiments at the laboratory is a challenge highly coupled to the requirements established by each experiment. This paper will present and compare the main strategies for adapting a Remote Laboratory to mobile devices, as well as the experience of a real Remote Laboratory, WebLab-Deusto, in this adaptation.
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Aitor Gómez-Goiri, Pablo Orduña, David Ausín Mikel Emaldi and Diego López-de-Ipiña. Collaboration of Sensors and Actuators through Triple Spaces. IEEE Sensors 2011. Limerick, Ireland. October 2011.
Abstract: In recent years, projects and initiatives under Internet of Things have focused mainly on establishing connectivity in a variety of challenging and constrained networking environments. Hence, a promising next step should be to build interaction models on top of this network connectivity and thus focus on the application layer, i.e. how to achieve useful aggregated functionality out of these Internet-connected ecosystems of sensors and actuators. This work analyses the adoption of Triple Spaces coordination language by very heterogeneous and resource-constrained devices and outlines how its primitives can help to develop fully distributed and very decoupled scenarios.
Extracting Multiword Expressions using Enumerations of Noun Phrases in Specialized Domains: first experiences
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Merley da S. Conrado, Walter Koza, JosuKa Díaz-Labrador, Joseba K. Abaitua, Solange O. Rezende, Thiago A. S. Pardo, and Zulema Solana (2011) "Extracting Multiword Expressions using Enumerations of Noun Phrases in Specialized Domains: first experiences", EPIA2011 - 15th Portuguese Conference on Artificial Intelligence, ISBN: 978-989-95618-4-7, pp. 775-789.
Abstract: We present a recognition algorithm for enumerations of Noun Phrase (NPEs) whose objective is to detect and extract multiword ex- pression (MWE). The algorithm used syntactic rules elaboration from linguistic information aiming to recognize NPEs. This information corres- ponds to morphological categories (noun, adjective, female, male, etc.). The evaluation takes into account only bigrams found in two different domain corpora of medicine and legal texts. The results are encouraging because, despite the low recall of MWEs, many significant terminological units from the two specialized domains were detected and extracted.
- Hits: 200
Aitor Almeida, Pablo Orduña, Eduardo Castillejo, Diego Lopez-de-Ipiña, Marcos Sacristan. An approach to automatic generation of fuzzy membership functions using popularity metrics.4th World Summit on the Knowledge Society, Proceedings of the . Mykonos, Greece, September, 2011.
Creating membership functions for fuzzy system can be a difficult task for non-expert developers. This is even more difficult when the information available about the specific domain is limited. In our case, we wanted to create membership functions that model the different characteristics of mobile devices. Due to the lack of public data about the mobile phones sales it is difficult to estimate the market share of each device. To tackle this problem we have developed a mechanism that uses popularity metrics to estimate the market share and generate the membership functions. In this paper we describe and discuss the used algorithm.
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Jonathan Ruiz-de-Garibay, Tomás Campo, Maite Álvarez, Ana Ayerbe. Flexible and Agile Architecture for Internet of Things Gadgets. RFID-TA 2011: IEEE RFID-Technologies and Applications, Sitges, 15-16 September 2011.
The “Internet of Things” concept refers to the vision that allows transformation of the reality of ordinary physical objects to a new level where they can be used as services available on the Internet bringing you information in order to improve business management systems or people’s quality of life.
Research into interaction between common objects and humans becomes relevant in this context. The development of a fast prototype system allows us to reach goals in a more efficient way.
In this paper, we present a very simple, agile, useful and flexible architecture to generate demonstrations of the Internet of Things concept. The possible applications are endless and they only depend on people’s imagination. We are going to include three examples to explain our architecture: sharing contacts, conference voting system and a tools monitor.
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Merley da Silva Conrado, Walter Koza, Josuka Díaz-Labrador, Joseba Abaitua, Solange Oliveira Rezende, Thiago Pardo, Zulema Solana. Experiments on Term Extraction using Noun Phrase Subclassifications. Proceedings of the International Conference Recent Advances in Natural Language Processing (ISSN 1313-8502), pp. 746-751. 2011.
In this paper we describe and compare three approaches for the automatic extraction of medical terms using noun phrases (NPs) previously recognized on medical text corpus in Spanish. In the first approach, as baseline, we extracted all NPs, while for the second and third ones the extraction process is directed to “specific NPs” that are determined on the basis of the syntactic and positional criteria, among others. As contributions (i) we showed that it is possible to extract medical terms using “specific NPs”, (ii) new terms were added in the software dictionary, and (iii) terms that were not in the reference lists were extracted. For the third contribution, we used the SNOMED CT(R) terms lists, aiming at improving the IULA reference lists.
The entire document can be downloaded here.
Identificación de términos a partir de enumeraciones sintagmáticas nominales: una aplicación al dominio médico
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Merley S. Conrado, Walter Koza, JosuKa Díaz-Labrador, Joseba Abaitua, Solange O. Rezende, Thiago A. S. Pardo, Zulema Solana. Identificación de términos a partir de enumeraciones sintagmáticas nominales: una aplicación al dominio médico. Anales del CAIS, ISSN 1853-1881, pp. 57-65. 2011.
Partiendo de la hipótesis de que las enumeraciones sintagmáticas nominales (ESN) que se encuentran en los textos médicos se componen de términos específicos del dominio, presentamos un método de reconocimiento de dichas enumeraciones con el objetivo de contribuir a la extracción automática. La metodología se conforma de tres etapas: (i) reconocimiento de enumeraciones sintagmáticas nominales, aquí se utiliza exclusivamente información lingüística, a partir de la cual se elaboran reglas de análisis sintáctico; (ii) extracción automática de los candidatos a términos que se correspondían con unigramas y bigramas, y (iii) evaluación de los candidatos extraídos con el asesoramiento de expertos del área médica. Los experimentos fueron realizados en el corpus IULA, conformado por textos médicos en español. Los resultados obtenidos fueron alentadores, ya que se logró un 67% y 68% de precisión en las enumeraciones detectadas para unigramas y bigramas respectivamente.
El documento original puede descargarse del siguiente link.
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Federico Castanedo, Diego Lopez-de-Ipina, Hamid Aghajan and Richard Kleihorst. Building an Occupancy Model from Sensor Networks in Office Environments. ICDSC 2011: Fifth ACM/IEEE International Conference on Distributed Smart Cameras. August 22-25, 2011, Ghent, Belgium
The work presented here aims to answer this question: using just binary occupancy sensors is it possible to build a behaviour occupancy model over long-term logged data?. Sensor’s measurements are grouped to form artiﬁcial words (activities) and documents (set of activities). The goal is to infer the latent topics which are assumed to be the common routines from the observed data. An unsupervised probabilistic model, namely the Latent Dirichlet Allocation (LDA) is applied to automatically discover the latent topics (routines) in the data. Experimental results using real logged data of 24 weeks from an office building, with different number of topics, are shown. The results shown the powerful of the LDA model in order to extract relevant patterns from sensor networks data
BlindShopping: Enabling accessible shopping for visually impaired people through mobile technologies
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Diego López-de-Ipiña, Tania Lorido and Unai López. BlindShopping: Enabling accessible shopping for visually impaired people through mobile technologies. ICOST 2011: 9th International Conference on Smart Homes and Health Telematics. Montréal, Canada, June 2011. LNCS6719, Toward Useful Services for Elderly and People with Disabilities, Springer, ISBN: 978-3-642-21534-6, pp. 266-270
BlindShopping is a mobile low-cost easily-deployable system devised to allow visually impaired people to do shopping autonomously within a supermarket. Its main contributions are: a) a user navigation component combining an RFID reader on the tip of a white cane and mobile technology, and b) a product recognition component that uses embossed QR codes placed on product shelves and an Android phone camera for their identification. Furthermore, it provides a web-based management component to easily configure the system, generating and binding barcode tags for product shelves and RFID tag markers attached to the supermarket floor.
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Diego López-de-Ipiña, Tania Lorido, Unai López. III International Workshop on Ambient Assisted Living - IWAAL 2011. Málaga, Spain, June 2011.
Achieving blind people autonomous shopping in a supermarket is a real challenge. Without help from another person is very hard or impossible for them to reach to a specific supermarket section and browse through its products. Besides, once there, they cannot identify the products and their features (e.g. price, brand and due date) to decide whether they want to buy them or not. This work presents BlindShopping, an RFID and QR-code based mobile solution to enable accessible shopping for blind people, only demanding inexpensive off-the-shelf technology and limiting the deployment effort from the supermarket.