2016
Mendoza-Silva, Germán MartÃn; RodrÃguez-Pupo, Luis Enrique; Torres-Sospedra, JoaquÃn; Huerta-Guijarro, JoaquÃn
Solutions for signal mapping campaigns of Wi-Fi networks Proceedings
JIIDE 2016 Barcelona (27-30/09/2016), 2016.
Abstract | Links | BibTeX | Tags: Citizen Science, Data Infrastructures, Mobile apps, Web, Wi-Fi, Wi-Fi mapping
@proceedings{mendozasolutions,
title = {Solutions for signal mapping campaigns of Wi-Fi networks},
author = {Germán MartÃn Mendoza-Silva and Luis Enrique RodrÃguez-Pupo and JoaquÃn Torres-Sospedra and JoaquÃn Huerta-Guijarro},
url = {http://www.idee.es/resources/presentaciones/JIIDE16/2016/34_art_2_UJI_SolucionesMapeadoWiFi.pdf},
year = {2016},
date = {2016-09-27},
publisher = {JIIDE 2016 Barcelona (27-30/09/2016)},
abstract = {The boom of smart mobile devices with several types of sensors has enabled applications that engage people in collecting information about their surroundings so that they can contribute to citizen science projects. In this paper, we
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
},
keywords = {Citizen Science, Data Infrastructures, Mobile apps, Web, Wi-Fi, Wi-Fi mapping},
pubstate = {published},
tppubtype = {proceedings}
}
The boom of smart mobile devices with several types of sensors has enabled applications that engage people in collecting information about their surroundings so that they can contribute to citizen science projects. In this paper, we
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
González-Pérez, Alberto; Casteleyn, Sven; RodrÃguez-Pupo, Luis Enrique; Miralles-Tena, Ignacio; Granell-Canut, Carlos; Huerta-Guijarro, JoaquÃn
Mobile, expert-sourced data collection to enable sustainable agricultural practices and management Proceedings Article
In: Mobile Tartu 2016. 29-30 June 2016, 2016.
BibTeX | Tags: ERMES, Mobile apps, mobile GIS, rice cultivation
@inproceedings{anCastelyn2016,
title = {Mobile, expert-sourced data collection to enable sustainable agricultural practices and management},
author = {Alberto González-Pérez and Sven Casteleyn and Luis Enrique RodrÃguez-Pupo and Ignacio Miralles-Tena and Carlos Granell-Canut and JoaquÃn Huerta-Guijarro},
year = {2016},
date = {2016-06-30},
booktitle = {Mobile Tartu 2016. 29-30 June 2016},
keywords = {ERMES, Mobile apps, mobile GIS, rice cultivation},
pubstate = {published},
tppubtype = {inproceedings}
}
2014
Tamayo-Fong, Alain; Granell-Canut, Carlos; DÃaz-Sánchez, Laura; Huerta-Guijarro, JoaquÃn
Personalised code generation from large schema sets for geospatial mobile applications Journal Article
In: Computing, vol. 96, no. 5, pp. 355-379, 2014, ISSN: 0010-485X, (IF: 0.593, Q2).
Abstract | Links | BibTeX | Tags: geospatial data, Mobile apps, XML schema
@article{TamayoFong2014,
title = {Personalised code generation from large schema sets for geospatial mobile applications},
author = { Alain Tamayo-Fong and Carlos Granell-Canut and Laura DÃaz-Sánchez and JoaquÃn Huerta-Guijarro},
url = {http://hdl.handle.net/10234/132926},
doi = {10.1007/s00607-013-0339-8},
issn = {0010-485X},
year = {2014},
date = {2014-01-01},
journal = {Computing},
volume = {96},
number = {5},
pages = {355-379},
abstract = {XML and XMLS chema are used in the geospatial domain for the definition of standards that enhance the interoperability between producers and consumers of spatial data. The size and complexity of these geospatial standards and their associated schemas have been growing with time reaching levels of complexity that make it difficult to build systems based on them in a timely and cost-effective manner. The problem of producing XML processing code based on large schemas has been traditionally solved by using XML data binding generators. Unfortunately, this solution is not always effective when code is generated for resource-constrained devices, such as mobile phones. Large and complex schemas often result in the production of code with a large size and a complicated structure that might not fit the device limitations. In this article we present the instance-based XML data binding approach to produce more compact application-specific XML processing code for geospatial applications targeted to mobile devices. The approach tries to reduce the size and complexity of the generated code by using information about how schemas are used by individual applications. Our experimental results suggest a significant simplification of XML Schema sets to the real needs of client applications accompanied by a substantial reduction of size of the generated code},
note = {IF: 0.593, Q2},
keywords = {geospatial data, Mobile apps, XML schema},
pubstate = {published},
tppubtype = {article}
}
XML and XMLS chema are used in the geospatial domain for the definition of standards that enhance the interoperability between producers and consumers of spatial data. The size and complexity of these geospatial standards and their associated schemas have been growing with time reaching levels of complexity that make it difficult to build systems based on them in a timely and cost-effective manner. The problem of producing XML processing code based on large schemas has been traditionally solved by using XML data binding generators. Unfortunately, this solution is not always effective when code is generated for resource-constrained devices, such as mobile phones. Large and complex schemas often result in the production of code with a large size and a complicated structure that might not fit the device limitations. In this article we present the instance-based XML data binding approach to produce more compact application-specific XML processing code for geospatial applications targeted to mobile devices. The approach tries to reduce the size and complexity of the generated code by using information about how schemas are used by individual applications. Our experimental results suggest a significant simplification of XML Schema sets to the real needs of client applications accompanied by a substantial reduction of size of the generated code
2012
GarcÃa-MartÃ, Irene; RodrÃguez-Pupo, Luis Enrique; Benedito-Bordonau, Mauricia; Trilles-Oliver, Sergio; Beltrán-Fonollosa, Arturo; DÃaz-Sánchez, Laura; Huerta-Guijarro, JoaquÃn
Aplicación móvil para la monitorización de la contaminación acústica en entornos urbanos a través de técnicas de Gamification Proceedings Article
In: JIIDE 2012: III Jornadas Ibéricas de Infraestructuras de Datos Espaciales. Madrid, Octubre 2012, 2012.
Abstract | Links | BibTeX | Tags: citizen participation, Gamification, Mobile apps, noise pollution, Participatory GIS, VGI
@inproceedings{GarciaMarti2012a,
title = {Aplicación móvil para la monitorización de la contaminación acústica en entornos urbanos a través de técnicas de Gamification},
author = {Irene GarcÃa-Martà and Luis Enrique RodrÃguez-Pupo and Mauricia Benedito-Bordonau and Sergio Trilles-Oliver and Arturo Beltrán-Fonollosa and Laura DÃaz-Sánchez and JoaquÃn Huerta-Guijarro},
url = {http://www.02.idee.es/resources/presentaciones/JIIDE12/jueves/G49.Artuculo.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {JIIDE 2012: III Jornadas Ibéricas de Infraestructuras de Datos Espaciales. Madrid, Octubre 2012},
abstract = {La cobertura completa de datos en entornos urbanos es crucial para monitorizar el estado del área de estudio y detectar, por ejemplo, tendencias y cambios medioambientales. Recoger observaciones de factores ambientales, como la contaminación acústica, a través de aproximaciones clásicas implica el despliegue de Redes de Sensores, cuyo coste de implantación y mantenimiento, podrÃa ser muy alto para las administraciones locales y regionales. Por otro lado, los dispositivos móviles como los smartphones incorporan numerosos sensores, por lo que, por ejemplo, pueden tomar muestras de ruido ambiental a través de su micrófono. De esta forma, cada smartphone se convierte en un dispositivo de medición de ruido ambiental que cualquier ciudadano puede llevar en su bolsillo. En este artÃculo presentamos una aproximación para recoger ruido ambiental a través de aplicaciones móviles. Esta aplicación móvil se ha diseñado siguiendo técnicas de Gamification para animar al usuario a participar utilizando sus propios smartphones personales. De esta forma, se involucra al usuario en la toma y la difusión de mediciones de ruido en sus ciudades que posteriormente, otras partes interesadas pueden usar en su análisis y sus procesos de toma de decisiones.},
keywords = {citizen participation, Gamification, Mobile apps, noise pollution, Participatory GIS, VGI},
pubstate = {published},
tppubtype = {inproceedings}
}
La cobertura completa de datos en entornos urbanos es crucial para monitorizar el estado del área de estudio y detectar, por ejemplo, tendencias y cambios medioambientales. Recoger observaciones de factores ambientales, como la contaminación acústica, a través de aproximaciones clásicas implica el despliegue de Redes de Sensores, cuyo coste de implantación y mantenimiento, podrÃa ser muy alto para las administraciones locales y regionales. Por otro lado, los dispositivos móviles como los smartphones incorporan numerosos sensores, por lo que, por ejemplo, pueden tomar muestras de ruido ambiental a través de su micrófono. De esta forma, cada smartphone se convierte en un dispositivo de medición de ruido ambiental que cualquier ciudadano puede llevar en su bolsillo. En este artÃculo presentamos una aproximación para recoger ruido ambiental a través de aplicaciones móviles. Esta aplicación móvil se ha diseñado siguiendo técnicas de Gamification para animar al usuario a participar utilizando sus propios smartphones personales. De esta forma, se involucra al usuario en la toma y la difusión de mediciones de ruido en sus ciudades que posteriormente, otras partes interesadas pueden usar en su análisis y sus procesos de toma de decisiones.
GarcÃa-MartÃ, Irene; RodrÃguez-Pupo, Luis Enrique; Benedito-Bordonau, Mauricia; Trilles-Oliver, Sergio; Beltrán-Fonollosa, Arturo; DÃaz-Sánchez, Laura; Huerta-Guijarro, JoaquÃn
Mobile Application for Noise Pollution Monitoring through Gamification Techniques Proceedings Article
In: Herrlich, M.; Malaka, R.; Masuch, M. (Ed.): ICEC 2012 entertainment computing, pp. 562-571, Springer, 2012, ISSN: 0302-9743.
Abstract | Links | BibTeX | Tags: Gamification, Mobile apps, noise pollution
@inproceedings{GarciaMarti2012,
title = {Mobile Application for Noise Pollution Monitoring through Gamification Techniques},
author = {Irene GarcÃa-Martà and Luis Enrique RodrÃguez-Pupo and Mauricia Benedito-Bordonau and Sergio Trilles-Oliver and Arturo Beltrán-Fonollosa and Laura DÃaz-Sánchez and JoaquÃn Huerta-Guijarro},
editor = {M. Herrlich and R. Malaka and M. Masuch},
url = {http://link.springer.com/10.1007/978-3-642-33542-6_74},
doi = {10.1007/978-3-642-33542-6_74},
issn = {0302-9743},
year = {2012},
date = {2012-01-01},
booktitle = {ICEC 2012 entertainment computing},
pages = {562-571},
publisher = {Springer},
abstract = {Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as noise pollution in urban environments through classical approaches implies the deployment of Sensor Networks. The cost of deployment and maintenance of such infrastructure might be relatively high for local and regional governments. On the other hand recent mass-market mobile devices such as smartphones are full of sensors. For instance, it is possible to perform measurements of noise through its microphone. Therefore they become low-cost measuring devices that many citizens have in their pocket. In this paper we present an approach for gathering noise pollution data by using mobile applications. The applications are designed following gamification techniques to encourage users to participate using their personal smartphones. In this way the users are involved in taking and sharing noise pollution measurements in their cities that other stakeholders can use in their analysis and decision making processes},
keywords = {Gamification, Mobile apps, noise pollution},
pubstate = {published},
tppubtype = {inproceedings}
}
Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as noise pollution in urban environments through classical approaches implies the deployment of Sensor Networks. The cost of deployment and maintenance of such infrastructure might be relatively high for local and regional governments. On the other hand recent mass-market mobile devices such as smartphones are full of sensors. For instance, it is possible to perform measurements of noise through its microphone. Therefore they become low-cost measuring devices that many citizens have in their pocket. In this paper we present an approach for gathering noise pollution data by using mobile applications. The applications are designed following gamification techniques to encourage users to participate using their personal smartphones. In this way the users are involved in taking and sharing noise pollution measurements in their cities that other stakeholders can use in their analysis and decision making processes