[u" @article{zabaleta_designing_2019, title = {Designing a {Human} {Computation} {Framework} to {Enhance} {Citizen}-{Government} {Interaction}}, volume = {25}, url = {http://www.jucs.org/jucs_25_2/designing_a_human_computation}, abstract = {Human computation or Human-based computation (HBC) is a paradigm that considers the design and analysis of information processing systems in which humans participate as computational agents performing small tasks and being orchestrated by a computer system. In particular, humans perform small pieces of work and a computer system is in charge of orchestrating their results. In this work, we want to exploit this potential to improve the take-up of e-service usage by citizens interacting with governments. To that end, we propose Citizenpedia, a human computation framework aimed at fostering citizen's involvement in the public administration. Citizenpedia is presented as a web application with two main components: the Question Answering Engine, where citizens and civil servants can post and solve doubts about e-services and public administration, and the Collaborative Procedure Designer, where citizens can collaborate with civil servants in the definition and improvement of new administrative procedures and e-services. In this work, we present the design and prototype of Citizenpedia and two evaluation studies conducted: the first one, a set of on-line surveys about the component's design, and the second one, a face-to-face user evaluation of the prototype. These evaluations showed us that the participants of the tests found the platform attractive, and pointed out several improvement suggestions regarding user experience of e-services.}, language = {en}, number = {2}, journal = {Journal of Universal Computer Science}, author = {Zabaleta, Koldo and Lopez-Novoa, Unai and Pretel, Ivan and L\xf3pez-de-Ipi\xf1a, Diego and Cartelli, Vincenzo}, year = {2019}, keywords = {Q3, e-government, human computation, human-computer interaction, jcr1.079, simpatico}, pages = {32} }"]

[u' @article{lopez-novoa_overcrowding_2017, title = {Overcrowding detection in indoor events using scalable technologies}, volume = {21}, issn = {1617-4909}, shorttitle = {{PUC}}, url = {https://link.springer.com/article/10.1007/s00779-017-1012-6}, doi = {10.1007/s00779-017-1012-6}, abstract = {The increase in the number of large-scale events held indoors (i.e., conferences and business events) opens new opportunities for crowd monitoring and access controlling as a way to prevent risks and provide further information about the event\u2019s development. In addition, the availability of already connectable devices among attendees allows to perform non-intrusive positioning during the event, without the need of specific tracking devices. We present an algorithm for overcrowding detection based on passive Wi-Fi requests capture and a platform for event monitoring that integrates this algorithm. The platform offers access control management, attendees monitoring and the analysis and visualization of the captured information, using a scalable software architecture. In this paper, we evaluate the algorithm in two ways: First, we test its accuracy with data captured in a real event, and then we analyze the scalability of the code in a multi-core Apache Spark-based environment. The experiments show that the algorithm provides accurate results with the captured data, and that the code scales properly.}, number = {3}, journal = {Personal and Ubiquitous Computing}, author = {Lopez-Novoa, Unai and Aguilera, Unai and Emaldi, Mikel and L\xf3pez-de-Ipi\xf1a, Diego and P\xe9rez-de-Albeniz, Iker and Valerdi, David and Iturricha, Ibai and Arza, Eneko}, month = feb, year = {2017}, note = {00001}, keywords = {Cloud-based computing, Indoor Positioning, Q2, jcr1.924}, pages = {507--519} }']

[u' @inproceedings{pretel_citizenpedia:_2017, address = {San Francisco, USA}, title = {Citizenpedia: {A} {Human} {Computation} {Framework} for the e-{Government} {Domain}}, doi = {978-1-5386-0435-9/17/$31.00}, abstract = {Human computation relies on crowds of people to perform large workloads, and in this work, we want to exploit this potential to improve the experience of e-government and the use of e-services. To that end we present the Citizenpedia, a human computation framework aimed at fostering citizens involvement in the public administration. The Citizenpedia is presented as a web application with two main tools: the Question Answering Engine, where citizens and civil servants can post and solve doubts about e-services and public ad- ministration, and the Collaborative Procedure Designer, where citizens can collaborate with civil servants in the definition and improvement of new administrative procedures and e-services. In this work we present several contributions: first, the design of the Citizenpedia concept, and then, its evaluation through a set of online surveys that were filled by 152 citizens and 63 civil servants from three different countries. The surveys served to successfully validate our design, and also to provide feedback on new features that were not taken into account in the first place. We finally present the software architecture of the Citizenpedia and provide the link to its source code.}, language = {English}, booktitle = {{IEEE} {SmartWorld} 2017}, publisher = {IEEE}, author = {Pretel, Ivan and Lopez-Novoa, Unai and Sanz, Enrique and L\xf3pez-de-Ipi\xf1a, Diego and Cartelli, Vincenzo and Di Modica, Giuseppe and Tomarchio, Orazio}, month = aug, year = {2017}, pages = {1013--1018} }']

[u" @inproceedings{aguilera_platform_2016, address = {Toulouse, France}, title = {A {Platform} for {Overcrowding} {Detection} in {Indoor} {Events} using {Scalable} {Technologies}}, isbn = {978-1-5090-2771-2}, url = {http://ieeexplore.ieee.org/document/7816854/}, doi = {https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0058}, abstract = {The increase in the number of large scale events held indoors (i.e. conferences, business events) opens new opportunities for crowd monitoring, access controlling as a way to prevent risks, provide further information about the event's development. In addition, the availability of already connectable devices among attendees allows to perform non-intrusive positioning during the event, without the need of specific tracking devices. We present a platform that integrates the access control management, attendees monitoring based on passive Wi-Fi requests detection,, the analysis, visualization of the captured information using an scalable software architecture. The analysis of the captured information enables to detect crowded zones, the attendance status during the event's performance, after its ending. In addition, the proposed platform has been evaluated using information captured in a real event.}, booktitle = {Proceedings of the 13th {International} {Conference} on {Ubiquitous} {Intelligence} and {Computing}}, publisher = {IEEE Computer Society}, author = {Aguilera, Unai and Lopez Novoa, Unai and Emaldi, Mikel and Lopez-de-Ipi\xf1a, Diego and P\xe9rez-De-Albeniz, Iker and Valerdi, David and Iturricha, Ibai and Arza, Eneko}, year = {2016}, note = {00000}, pages = {269--276} }"]

[u' @article{lopez_novoa_kernel_2015, title = {Kernel density estimation in accelerators: {Implementation} and performance evaluation}, issn = {0920-8542}, url = {http://link.springer.com/article/10.1007%2Fs11227-015-1577-7}, doi = {10.1007/s11227-015-1577-7}, abstract = {Kernel density estimation (KDE) is a popular technique used to estimate the probability density function of a random variable. KDE is considered a fundamental data smoothing algorithm, and it is a common building block in many scientific applications. In a previous work we presented S-KDE, an efficient algorithmic approach to compute KDE that outperformed other state-of-the-art implementations, providing accurate results in much reduced execution times. Its parallel implementation targeted multi- and many-core processors. In this work we present an OpenCL implementation of S-KDE, targeting modern accelerators in a portable way. We test our implementation on three accelerators from different manufacturers, achieving speedups around 5\xd7 compared to a hand-tuned serial version of S-KDE. We also analyze the performance of the code in these accelerators, to find out to what extent our code exploits their capabilities.}, journal = {The Journal of Supercomputing}, author = {Lopez Novoa, Unai and Mendiburu, Alexander and Miguel-Alonso, Jose}, month = dec, year = {2015}, note = {00000}, keywords = {Q3, jcr0.858, parallel computing, statistics} }']

[u" @inproceedings{lopez-de-ipina_blindshopping:_2011, address = {Berlin, Heidelberg}, series = {{ICOST}'11}, title = {Blindshopping: {Enabling} {Accessible} {Shopping} for {Visually} {Impaired} {People} {Through} {Mobile} {Technologies}}, isbn = {978-3-642-21534-6}, shorttitle = {Blindshopping}, url = {http://dl.acm.org/citation.cfm?id=2026187.2026232}, abstract = {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.}, urldate = {2016-09-05TZ}, booktitle = {Proceedings of the 9th {International} {Conference} on {Toward} {Useful} {Services} for {Elderly} and {People} with {Disabilities}: {Smart} {Homes} and {Health} {Telematics}}, publisher = {Springer-Verlag}, author = {L\xf3pez-de-Ipi\xf1a, Diego and Lorido, Tania and L\xf3pez, Unai}, year = {2011}, note = {00019}, keywords = {QR codes, blind, mobile computing, navigation, web-services}, pages = {266--270} }"]

[u" @inproceedings{lopez-de-ipina_blindshopping:_2011, address = {Berlin, Heidelberg}, series = {{ICOST}'11}, title = {Blindshopping: {Enabling} {Accessible} {Shopping} for {Visually} {Impaired} {People} {Through} {Mobile} {Technologies} (icost)}, isbn = {978-3-642-21534-6}, shorttitle = {Blindshopping}, url = {http://dl.acm.org/citation.cfm?id=2026187.2026232}, abstract = {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.}, urldate = {2016-09-05TZ}, booktitle = {Proceedings of the 9th {International} {Conference} on {Toward} {Useful} {Services} for {Elderly} and {People} with {Disabilities}: {Smart} {Homes} and {Health} {Telematics}}, publisher = {Springer-Verlag}, author = {L\xf3pez-de-Ipi\xf1a, Diego and Lorido, Tania and L\xf3pez, Unai}, year = {2011}, note = {00000}, keywords = {QR codes, blind, mobile computing, navigation, web-services}, pages = {266--270} }"]