2015
Trilles-Oliver, Sergio; Schade, Sven; Belmonte-Fernández, Óscar; Huerta-Guijarro, JoaquÃn
Real-Time Anomaly Detection from Environmental Data Streams Book Section
In: Baçao, Fernando; Santos, Maribel Yasmina; Painho, Marci (Ed.): AGILE 2015: Geographic information science as an enabler of smarter cities and communities, pp. 125–144, Springer International Publishing, Heidelberg, 2015, ISBN: 978-3-319-16786-2.
Abstract | Links | BibTeX | Tags: Big data, Real time analysis, Sensors
@incollection{TrillesOliver2015b,
title = {Real-Time Anomaly Detection from Environmental Data Streams},
author = {Sergio Trilles-Oliver and Sven Schade and Óscar Belmonte-Fernández and JoaquÃn Huerta-Guijarro},
editor = {Baçao, Fernando and Santos, Maribel Yasmina and Painho, Marci},
url = {http://link.springer.com/10.1007/978-3-319-16787-9_8},
doi = {10.1007/978-3-319-16787-9_8},
isbn = {978-3-319-16786-2},
year = {2015},
date = {2015-01-01},
booktitle = {AGILE 2015: Geographic information science as an enabler of smarter cities and communities},
pages = {125--144},
publisher = {Springer International Publishing},
address = {Heidelberg},
abstract = {Modern sensor networks monitor a wide range of phenomena. They are applied in environmental monitoring, health care, optimization of industrial processes, social media, smart city solutions, and many other domains. All in all, they provide a continuously pulse of the almost infinite activities that are happening in the physical space—and in cyber space. The handling of the massive amounts of generated measurements poses a series of (Big Data) challenges. Our work addresses one of these challenges: the detection of anomalies in real-time. In this paper, we propose a generic solution to this problem, and introduce a system that is capable of detecting anomalies, generating notifications, and displaying the recent situation to the user. We apply CUSUM a statistical control algorithm and adopt it so that it can be used inside the Storm framework—a robust and scalable real-time processing framework. We present a proof of concept implementation from the area of environmental monitoring.},
keywords = {Big data, Real time analysis, Sensors},
pubstate = {published},
tppubtype = {incollection}
}
Modern sensor networks monitor a wide range of phenomena. They are applied in environmental monitoring, health care, optimization of industrial processes, social media, smart city solutions, and many other domains. All in all, they provide a continuously pulse of the almost infinite activities that are happening in the physical space—and in cyber space. The handling of the massive amounts of generated measurements poses a series of (Big Data) challenges. Our work addresses one of these challenges: the detection of anomalies in real-time. In this paper, we propose a generic solution to this problem, and introduce a system that is capable of detecting anomalies, generating notifications, and displaying the recent situation to the user. We apply CUSUM a statistical control algorithm and adopt it so that it can be used inside the Storm framework—a robust and scalable real-time processing framework. We present a proof of concept implementation from the area of environmental monitoring.
2014
Ramos-Romero, Francisco; Monfort-Muriach, Aida; Huerta-Guijarro, JoaquÃn
A Location Aware Mobile Tool for Direct and Indirect Climate Data Sensors Journal Article
In: Transactions in GIS, vol. 18, no. 3, pp. 385-400, 2014, ISSN: 1361-1682, (IF: 1.398, Q2).
Abstract | Links | BibTeX | Tags: CIUDADES-SALUDABLES, meteorological sensors, Sensors
@article{RamosRomero2014,
title = {A Location Aware Mobile Tool for Direct and Indirect Climate Data Sensors},
author = { Francisco Ramos-Romero and Aida Monfort-Muriach and JoaquÃn Huerta-Guijarro},
url = {http://hdl.handle.net/10234/125826},
doi = {10.1111/tgis.12097},
issn = {1361-1682},
year = {2014},
date = {2014-01-01},
journal = {Transactions in GIS},
volume = {18},
number = {3},
pages = {385-400},
abstract = {Access to GIS data from mobile platforms continues to be a challenge and there is a wide range of fields where it is extremely useful. In this work, we combined three key aspects: climate data sensors, mobile platforms and spatial proximity operations. We published and made use of a web 2.0 network of climate data, where content is user-collected, by means of their meteorological stations, and exposed as available information for the virtual community. Moreover, we enriched this data by giving the users the opportunity to directly inform the system with different climate measures. In general, management of this type of information from a mobile application could result in an important decision tool, as it enables us to provide climate-related data according to a context and a geographical location. Therefore, we implemented a native mobile application for iPhone and iPad platforms by using ArcGIS SDK for iOS and by integrating a series of ArcGIS webmaps, which allows us to perform geospatial queries based on the user's location, offering, at the same time, access to all the data provided by the climate data sensor network and from direct users.},
note = {IF: 1.398, Q2},
keywords = {CIUDADES-SALUDABLES, meteorological sensors, Sensors},
pubstate = {published},
tppubtype = {article}
}
Access to GIS data from mobile platforms continues to be a challenge and there is a wide range of fields where it is extremely useful. In this work, we combined three key aspects: climate data sensors, mobile platforms and spatial proximity operations. We published and made use of a web 2.0 network of climate data, where content is user-collected, by means of their meteorological stations, and exposed as available information for the virtual community. Moreover, we enriched this data by giving the users the opportunity to directly inform the system with different climate measures. In general, management of this type of information from a mobile application could result in an important decision tool, as it enables us to provide climate-related data according to a context and a geographical location. Therefore, we implemented a native mobile application for iPhone and iPad platforms by using ArcGIS SDK for iOS and by integrating a series of ArcGIS webmaps, which allows us to perform geospatial queries based on the user's location, offering, at the same time, access to all the data provided by the climate data sensor network and from direct users.
Trilles-Oliver, Sergio; Belmonte-Fernández, Óscar; Huerta-Guijarro, JoaquÃn
Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring Proceedings Article
In: Omatu, S.; Bersini, H.; Corchado, JM; Rodriguez, S.; Pawlewski, P.; Bucciarelli, E. (Ed.): DCAI 2014: 11th International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, JUN 04-06, 2014, pp. 287-294, SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2014, ISSN: 2194-5357.
Abstract | Links | BibTeX | Tags: Air quality sensors, CITYBENCH, forest fire, meteorological sensors, Sensor networks, Sensors
@inproceedings{ISI:000342905800034,
title = {Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring},
author = {Sergio Trilles-Oliver and Óscar Belmonte-Fernández and JoaquÃn Huerta-Guijarro},
editor = {S. Omatu and H. Bersini and JM Corchado and S. Rodriguez and P. Pawlewski and E. Bucciarelli},
url = {http://hdl.handle.net/10234/160364},
doi = {10.1007/978-3-319-07593-8_34},
issn = {2194-5357},
year = {2014},
date = {2014-01-01},
booktitle = {DCAI 2014: 11th International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, JUN 04-06, 2014},
volume = {290},
pages = {287-294},
publisher = {SPRINGER-VERLAG BERLIN},
address = {HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY},
series = {Advances in Intelligent Systems and Computing},
abstract = {These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile). Finally, we apply this system in a use case as wildfire monitoring, so it offers determine the state of a wildfire.},
keywords = {Air quality sensors, CITYBENCH, forest fire, meteorological sensors, Sensor networks, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile). Finally, we apply this system in a use case as wildfire monitoring, so it offers determine the state of a wildfire.
2013
Trilles-Oliver, Sergio; DÃaz-Sánchez, Laura; Huerta-Guijarro, JoaquÃn
Acceso ágil a redes de sensores: un estudio de caso de monitorización de datos de calidad del aire y meteorológicos Proceedings Article
In: JIDEE 2013: IV Jornadas ibéricas de infraestructuras de datos espaciales. Toledo, Noviembre 2013, Toledo, 2013.
Abstract | Links | BibTeX | Tags: Air quality sensors, CITYBENCH, Internet of things, Internet of things, meteorological sensors, Sensors
@inproceedings{TrillesOliver2013a,
title = {Acceso ágil a redes de sensores: un estudio de caso de monitorización de datos de calidad del aire y meteorológicos},
author = {Sergio Trilles-Oliver and Laura DÃaz-Sánchez and JoaquÃn Huerta-Guijarro },
url = {http://hdl.handle.net/10234/160211},
year = {2013},
date = {2013-01-01},
booktitle = {JIDEE 2013: IV Jornadas ibéricas de infraestructuras de datos espaciales. Toledo, Noviembre 2013},
address = {Toledo},
abstract = {En el presente trabajo se pretende incrementar la interoperabilidad y accesibilidad de estos datos para que los usuarios puedan utilizarlos en diferentes escenarios y con variedad de necesidades dependiendo del lugar y tiempo especÃfico. El objetivo deriva en la publicación de estos tipos de datos ambientales y facilitando el acceso a ellos, mediante servicios que proporcionan una entrada estructurada para el consumo en dispositivos ligeros, como los teléfonos móviles},
keywords = {Air quality sensors, CITYBENCH, Internet of things, Internet of things, meteorological sensors, Sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
En el presente trabajo se pretende incrementar la interoperabilidad y accesibilidad de estos datos para que los usuarios puedan utilizarlos en diferentes escenarios y con variedad de necesidades dependiendo del lugar y tiempo especÃfico. El objetivo deriva en la publicación de estos tipos de datos ambientales y facilitando el acceso a ellos, mediante servicios que proporcionan una entrada estructurada para el consumo en dispositivos ligeros, como los teléfonos móviles
2012
Tamayo-Fong, Alain; Granell-Canut, Carlos; Huerta-Guijarro, JoaquÃn
Using SWE Standards for Ubiquitous Environmental Sensing: A Performance Analysis Journal Article
In: Sensors, vol. 12, pp. 12026–12051, 2012, ISSN: 1424-8220, (IF: 1.939, Q1).
Abstract | Links | BibTeX | Tags: environmental monitoring, GEOCLOUD, OSMOSIS, Sensors, Standards
@article{TamayoFong2012a,
title = {Using SWE Standards for Ubiquitous Environmental Sensing: A Performance Analysis},
author = { Alain Tamayo-Fong and Carlos Granell-Canut and JoaquÃn Huerta-Guijarro},
url = {http://hdl.handle.net/10234/62253},
doi = {10.3390/s120912026},
issn = {1424-8220},
year = {2012},
date = {2012-08-01},
journal = {Sensors},
volume = {12},
pages = {12026--12051},
abstract = {Although smartphone applications represent the most typical data consumer tool from the citizen perspective in environmental applications, they can also be used for in-situ data collection and production in varied scenarios, such as geological sciences and biodiversity. The use of standard protocols, such as SWE, to exchange information between smartphones and sensor infrastructures brings benefits such as interoperability and scalability, but their reliance on XML is a potential problem when large volumes of data are transferred, due to limited bandwidth and processing capabilities on mobile phones. In this article we present a performance analysis about the use of SWE standards in smartphone applications to consume and produce environmental sensor data, analysing to what extent the performance problems related to XML can be alleviated by using alternative uncompressed and compressed formats.},
note = {IF: 1.939, Q1},
keywords = {environmental monitoring, GEOCLOUD, OSMOSIS, Sensors, Standards},
pubstate = {published},
tppubtype = {article}
}
Although smartphone applications represent the most typical data consumer tool from the citizen perspective in environmental applications, they can also be used for in-situ data collection and production in varied scenarios, such as geological sciences and biodiversity. The use of standard protocols, such as SWE, to exchange information between smartphones and sensor infrastructures brings benefits such as interoperability and scalability, but their reliance on XML is a potential problem when large volumes of data are transferred, due to limited bandwidth and processing capabilities on mobile phones. In this article we present a performance analysis about the use of SWE standards in smartphone applications to consume and produce environmental sensor data, analysing to what extent the performance problems related to XML can be alleviated by using alternative uncompressed and compressed formats.
Tamayo-Fong, Alain; Granell-Canut, Carlos; DÃaz-Sánchez, Laura; Gould, Michael; Huerta-Guijarro, JoaquÃn
Client-side processing for sensor web Book Chapter
In: Alencar, D.; Cowan, D. (Ed.): Handbook of on mobile software engineering: design implementation adn emergent applications., Chapter 34, pp. 789-808, IGI Global, 2012, ISBN: 978-1-61520-655-1.
Abstract | Links | BibTeX | Tags: sensor web, Sensors
@inbook{tamayo_client-side_2012,
title = {Client-side processing for sensor web},
author = {Alain Tamayo-Fong and Carlos Granell-Canut and Laura DÃaz-Sánchez and Michael Gould and JoaquÃn Huerta-Guijarro},
editor = {D. Alencar and D. Cowan},
url = {http://www.igi-global.com/chapter/client-side-processing-sensor-web/66499},
doi = {10.4018/978-1-61520-655-1.ch043},
isbn = {978-1-61520-655-1},
year = {2012},
date = {2012-01-01},
booktitle = {Handbook of on mobile software engineering: design implementation adn emergent applications.},
pages = {789-808},
publisher = {IGI Global},
chapter = {34},
abstract = {Nowadays, the whole of society can benefit by collecting, sharing, and exploiting sensor data to offer valuable information to decision makers regarding human health, global environment protection, and improvement of water resources, energy, and agricultural management. This chapter explores data processing aspects for Sensor Web that let users process and use real-time sensor data from heterogeneous distributed sensors, identifying basic requirements to build geospatial processing applications such as encodings, metadata, standards for describing sensors, et cetera. These aspects are presented as part of the development process of an SOS client with versions targeted to desktop and mobile environments. The client is developed as a plug-in for the open source GIS gvSIG, which allows the combination of sensor data with other data coming from several different sources.},
keywords = {sensor web, Sensors},
pubstate = {published},
tppubtype = {inbook}
}
Nowadays, the whole of society can benefit by collecting, sharing, and exploiting sensor data to offer valuable information to decision makers regarding human health, global environment protection, and improvement of water resources, energy, and agricultural management. This chapter explores data processing aspects for Sensor Web that let users process and use real-time sensor data from heterogeneous distributed sensors, identifying basic requirements to build geospatial processing applications such as encodings, metadata, standards for describing sensors, et cetera. These aspects are presented as part of the development process of an SOS client with versions targeted to desktop and mobile environments. The client is developed as a plug-in for the open source GIS gvSIG, which allows the combination of sensor data with other data coming from several different sources.
Trilles-Oliver, Sergio; DÃaz-Sánchez, Laura; Huerta-Guijarro, JoaquÃn
Monitorización de datos de calidad de aire Proceedings Article
In: JIDEE 2012: III Jornadas Ibéricas de las infraestructuras de datos espaciales. Madrid, Octubre 2012, 2012.
Abstract | Links | BibTeX | Tags: Air quality sensors, Sensors, Spatial Data Infrastructures (SDI)
@inproceedings{TrillesOliver2012a,
title = {Monitorización de datos de calidad de aire},
author = {Sergio Trilles-Oliver and Laura DÃaz-Sánchez and JoaquÃn Huerta-Guijarro},
url = {http://hdl.handle.net/10234/160173},
year = {2012},
date = {2012-01-01},
booktitle = {JIDEE 2012: III Jornadas Ibéricas de las infraestructuras de datos espaciales. Madrid, Octubre 2012},
abstract = {Cada vez más somos testigos del despliegue de redes de sensores que miden el estado del entorno en el que vivimos. Estas redes aportan grandes volúmenes de información en formatos y escalas muy diversas. Encontramos ejemplos de datos de diversa naturaleza, desde condiciones climáticas, hasta concentraciones de elementos contaminantes debido a la actividad humana como el transporte, y la industria. En este trabajo describimos como la publicación de estos datos mediante servicios que proporcionen un acceso estructurado y basado en estándares permite una mejor integración de estos datos, tanto para su visualización desde diversas plataformas (web o móvil) como para su consumo mediante procesos de análisis que permitan extraer valor añadido y asistir en la toma de decisiones. Uno de los principales objetivos es incrementar la interoperabilidad de acceso a estos datos y que un usuario a través de diferentes dispositivos pueda conocer en tiempo real las condiciones de una ubicación concreta},
keywords = {Air quality sensors, Sensors, Spatial Data Infrastructures (SDI)},
pubstate = {published},
tppubtype = {inproceedings}
}
Cada vez más somos testigos del despliegue de redes de sensores que miden el estado del entorno en el que vivimos. Estas redes aportan grandes volúmenes de información en formatos y escalas muy diversas. Encontramos ejemplos de datos de diversa naturaleza, desde condiciones climáticas, hasta concentraciones de elementos contaminantes debido a la actividad humana como el transporte, y la industria. En este trabajo describimos como la publicación de estos datos mediante servicios que proporcionen un acceso estructurado y basado en estándares permite una mejor integración de estos datos, tanto para su visualización desde diversas plataformas (web o móvil) como para su consumo mediante procesos de análisis que permitan extraer valor añadido y asistir en la toma de decisiones. Uno de los principales objetivos es incrementar la interoperabilidad de acceso a estos datos y que un usuario a través de diferentes dispositivos pueda conocer en tiempo real las condiciones de una ubicación concreta