2021 |
Juan-Verdoy, Pablo; Trilles-Oliver, Sergio; Fortea, Ana Belén Vicente; Costa, Sergi Messeguer; Saurina, Laura Serra Estudio de la fiabilidad de un sensor IoT de PM de bajo coste en ambientes interiores y exteriores Inproceedings Congreso Nacional de Medio Ambiente 2020 (CONAMA 2020), pp. 1-20, 2021, ISBN: 978-84-09-31739-4. Abstract | BibTeX | Tags: Air quality sensors, Internet of things @inproceedings{JuanVerdoy2021a, title = {Estudio de la fiabilidad de un sensor IoT de PM de bajo coste en ambientes interiores y exteriores}, author = {Pablo Juan-Verdoy and Sergio Trilles-Oliver and Ana Belén Vicente Fortea and Sergi Messeguer Costa and Laura Serra Saurina}, isbn = {978-84-09-31739-4}, year = {2021}, date = {2021-07-01}, booktitle = {Congreso Nacional de Medio Ambiente 2020 (CONAMA 2020)}, pages = {1-20}, abstract = {El conocimiento en tiempo real de la calidad del aire permite alertar a la población frente a los episodios de alta concentración de una forma rápida y directa. Los recientes avances en el campo de la sensorización, y las tecnologías y ciencias de la computación, han facilitado el despliegue de sensores de bajo coste, mejorando la resolución espacial y temporal de los datos de calidad del aire. El objetivo principal de este trabajo es realizar un estudio de fiabilidad de un sensor de bajo coste de partículas en suspensión (PM2.5 y PM10) en ambientes interiores y exteriores, con la finalidad de conocer si puede ser candidato a poder ser utilizado en Planes de Gestión de la Calidad del Aire. El sensor láser seleccionado (HM-3301), hasta el momento, no ha sido evaluado en condiciones ambientales reales, y la calidad de los datos generados no se encuentra documentada. Para posibilitar este estudio, el sensor HM-3301 ha sido integrado en una plataforma del Internet de las Cosas, con el objetivo de establecer una conexión permanente a Internet. La fiabilidad del sensor se ha establecido mediante la comparación con un equipo de referencia (LVS3 de Derenda) según el método estándar EN12341:2014. La fiabilidad ha sido diseñada desde el punto de vista estadístico y sin considerar las condiciones ambientales. La metodología estadística utilizada ha sido un modelo lineal ordinario, un modelo lineal generalizado, un suavizado de trazado de dispersión estimado localmente y modelos aditivos generalizados para comparar y contrastar los resultados. Los resultados obtenidos, apuntan que el sensor HM-3301 está altamente correlacionado con la medida de referencia (con correlación superior al 70%), especialmente para PM2.5, que obtiene un valor de precisión muy alto. Además, existe una relación positiva entre las dos mediciones, las que pueden ser ajustadas adecuadamente a través del modelo de suavizado de diagrama de dispersión estimado localmente.}, keywords = {Air quality sensors, Internet of things}, pubstate = {published}, tppubtype = {inproceedings} } El conocimiento en tiempo real de la calidad del aire permite alertar a la población frente a los episodios de alta concentración de una forma rápida y directa. Los recientes avances en el campo de la sensorización, y las tecnologías y ciencias de la computación, han facilitado el despliegue de sensores de bajo coste, mejorando la resolución espacial y temporal de los datos de calidad del aire. El objetivo principal de este trabajo es realizar un estudio de fiabilidad de un sensor de bajo coste de partículas en suspensión (PM2.5 y PM10) en ambientes interiores y exteriores, con la finalidad de conocer si puede ser candidato a poder ser utilizado en Planes de Gestión de la Calidad del Aire. El sensor láser seleccionado (HM-3301), hasta el momento, no ha sido evaluado en condiciones ambientales reales, y la calidad de los datos generados no se encuentra documentada. Para posibilitar este estudio, el sensor HM-3301 ha sido integrado en una plataforma del Internet de las Cosas, con el objetivo de establecer una conexión permanente a Internet. La fiabilidad del sensor se ha establecido mediante la comparación con un equipo de referencia (LVS3 de Derenda) según el método estándar EN12341:2014. La fiabilidad ha sido diseñada desde el punto de vista estadístico y sin considerar las condiciones ambientales. La metodología estadística utilizada ha sido un modelo lineal ordinario, un modelo lineal generalizado, un suavizado de trazado de dispersión estimado localmente y modelos aditivos generalizados para comparar y contrastar los resultados. Los resultados obtenidos, apuntan que el sensor HM-3301 está altamente correlacionado con la medida de referencia (con correlación superior al 70%), especialmente para PM2.5, que obtiene un valor de precisión muy alto. Además, existe una relación positiva entre las dos mediciones, las que pueden ser ajustadas adecuadamente a través del modelo de suavizado de diagrama de dispersión estimado localmente. |
Torres-Sospedra, Joaquín; Aranda, Fernando J; Álvarez, Fernando J; Quezada-Gaibor, Darwin; Silva, Ivo; Pendão, Cristiano; Moreira, Adriano Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning Inproceedings Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), pp. 1-5, IEEE, 2021, ISBN: 978-1-7281-8965-9. Abstract | Links | BibTeX | Tags: Indoor positioning, Wi-Fi fingerprint, Wi-Fi mapping @inproceedings{Torres-Sospedra2021b, title = {Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning}, author = {Joaquín Torres-Sospedra and Fernando J. Aranda and Fernando J. Álvarez and Darwin Quezada-Gaibor and Ivo Silva and Cristiano Pendão and Adriano Moreira}, doi = {http://dx.doi.org/10.1109/VTC2021-Spring51267.2021.9448947}, isbn = {978-1-7281-8965-9}, year = {2021}, date = {2021-06-15}, booktitle = {Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)}, pages = {1-5}, publisher = {IEEE}, abstract = {Fingerprint-based indoor positioning is widely used in many contexts, including pedestrian and autonomous vehicles navigation. Many approaches have used traditional Machine Learning models to deal with fingerprinting, being k-NN the most common used one. However, the reference data (or radio map) is generally limited, as data collection is a very demanding task, which degrades overall accuracy. In this work, we propose a novel approach to add random noise to the radio map which will be used in combination with an ensemble model. Instead of augmenting the radio map, we create n noisy versions of the same size, i.e. our proposed Indoor Positioning model will combine n estimations obtained by independent estimators built with the n noisy radio maps. The empirical results have shown that our proposed approach improves the baseline method results in around 10% on average.}, keywords = {Indoor positioning, Wi-Fi fingerprint, Wi-Fi mapping}, pubstate = {published}, tppubtype = {inproceedings} } Fingerprint-based indoor positioning is widely used in many contexts, including pedestrian and autonomous vehicles navigation. Many approaches have used traditional Machine Learning models to deal with fingerprinting, being k-NN the most common used one. However, the reference data (or radio map) is generally limited, as data collection is a very demanding task, which degrades overall accuracy. In this work, we propose a novel approach to add random noise to the radio map which will be used in combination with an ensemble model. Instead of augmenting the radio map, we create n noisy versions of the same size, i.e. our proposed Indoor Positioning model will combine n estimations obtained by independent estimators built with the n noisy radio maps. The empirical results have shown that our proposed approach improves the baseline method results in around 10% on average. |
Mendoza-Silva, Germán Martin; Torres-Sospedra, Joaquín; Huerta-Guijarro, Joaquín Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting Inproceedings Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), pp. 1-5, IEEE, 2021, ISBN: 978-1-7281-8964-2. Abstract | Links | BibTeX | Tags: Indoor positioning, Wi-Fi fingerprint @inproceedings{Mendoza-Silva2021a, title = {Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting}, author = {Germán Martin Mendoza-Silva and Joaquín Torres-Sospedra and Joaquín Huerta-Guijarro}, doi = {https://doi.org/10.1109/VTC2021-Spring51267.2021.9448936}, isbn = {978-1-7281-8964-2}, year = {2021}, date = {2021-06-15}, booktitle = {Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)}, pages = {1-5}, publisher = {IEEE}, abstract = {Nowadays, Location Based Services run over a net of heterogeneous devices (mainly smartphones) with different location capabilities thanks to, for instance, signals of opportunity as Wi-Fi. In contrast to professional deployments in controlled scenarios, the positioning error highly depends not only on the environment but also on the location. Traditional metrics for evaluating indoor positioning system may fail in obtaining lower-level details on the reported results. This paper introduces a way to perform a local-level analysis of the positioning errors. Our approach is based on analyses of the position-wise variance of positioning errors.}, keywords = {Indoor positioning, Wi-Fi fingerprint}, pubstate = {published}, tppubtype = {inproceedings} } Nowadays, Location Based Services run over a net of heterogeneous devices (mainly smartphones) with different location capabilities thanks to, for instance, signals of opportunity as Wi-Fi. In contrast to professional deployments in controlled scenarios, the positioning error highly depends not only on the environment but also on the location. Traditional metrics for evaluating indoor positioning system may fail in obtaining lower-level details on the reported results. This paper introduces a way to perform a local-level analysis of the positioning errors. Our approach is based on analyses of the position-wise variance of positioning errors. |
Riedler, Barbara; Stéphenne, Nathalie; Aguilar-Moreno, Estefanía; Jagaille, Marie; Monfort-Muriach, Aida; Fiore, Grazia; Antoniou, Natassa Towards Gender Equality in Education and Career in the Earth Observation and GI sector Inproceedings The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 21-27, Copernicus Publications, 2021. Abstract | Links | BibTeX | Tags: Women in Copernicus @inproceedings{Riedler2021a, title = {Towards Gender Equality in Education and Career in the Earth Observation and GI sector}, author = {Barbara Riedler and Nathalie Stéphenne and Estefanía Aguilar-Moreno and Marie Jagaille and Aida Monfort-Muriach and Grazia Fiore and Natassa Antoniou}, doi = {https://doi.org/10.5194/isprs-archives-XLIII-B5-2021-21-2021}, year = {2021}, date = {2021-06-15}, booktitle = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLIII-B5-2021}, pages = {21-27}, publisher = {Copernicus Publications}, abstract = {Gender inequality is omnipresent in our society and in the field of education and training, the gender gap is especially evident in STEM (Science, Technology, Engineering and Mathematics) disciplines. While different studies have been conducted about potential reasons explaining this gap, little is known about gender inequality and underlying factors in the Earth Observation and Geoinformatics (EO*GI) domain. To close some parts of this knowledge gap, the initiative Women in Copernicus was established with the overall goal to make women working in the EO*GI field and especially in the Copernicus ecosystem more visible. This paper analyses the results of a survey of 462 women identifying reasons for not choosing STEM education and the barriers related to educational choices in their career path. The main obstacles that hinder choosing a STEM education for these women are stereotypes in society, missing female role models but also culture, television and society message transmitted by the media. The lack of self-confidence is an essential factor in this choice and is also experienced as a barrier during individual career paths. This analysis provides insights valuable for political decisions making targeting at a gender-balanced work environment and emphasizes the importance of attracting more girls and young women towards a STEM education and supporting them during their career to reach skills and occupational equality and strengthen the economic development of the EO*GI sector.}, keywords = {Women in Copernicus}, pubstate = {published}, tppubtype = {inproceedings} } Gender inequality is omnipresent in our society and in the field of education and training, the gender gap is especially evident in STEM (Science, Technology, Engineering and Mathematics) disciplines. While different studies have been conducted about potential reasons explaining this gap, little is known about gender inequality and underlying factors in the Earth Observation and Geoinformatics (EO*GI) domain. To close some parts of this knowledge gap, the initiative Women in Copernicus was established with the overall goal to make women working in the EO*GI field and especially in the Copernicus ecosystem more visible. This paper analyses the results of a survey of 462 women identifying reasons for not choosing STEM education and the barriers related to educational choices in their career path. The main obstacles that hinder choosing a STEM education for these women are stereotypes in society, missing female role models but also culture, television and society message transmitted by the media. The lack of self-confidence is an essential factor in this choice and is also experienced as a barrier during individual career paths. This analysis provides insights valuable for political decisions making targeting at a gender-balanced work environment and emphasizes the importance of attracting more girls and young women towards a STEM education and supporting them during their career to reach skills and occupational equality and strengthen the economic development of the EO*GI sector. |
Zaragozí, Benito; Gutierrez, Aaron; Trilles-Oliver, Sergio Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries Inproceedings Geographical Information Systems Theory, Applications and Management. GISTAM 2020, pp. 102-118, Springer, Cham, 2021, ISBN: 978-3-030-76374-9. Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), public transport, urban mobility @inproceedings{Zaragozi2021d, title = {Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries}, author = {Benito Zaragozí and Aaron Gutierrez and Sergio Trilles-Oliver}, doi = {https://doi.org/10.1007/978-3-030-76374-9_7}, isbn = {978-3-030-76374-9}, year = {2021}, date = {2021-06-01}, booktitle = {Geographical Information Systems Theory, Applications and Management. GISTAM 2020}, volume = {1411}, pages = {102-118}, publisher = {Springer, Cham}, series = {Communications in Computer and Information Science}, abstract = {Data from automated fare collection systems have become almost essential in the study of the mobility of people using public transport. Among other advantages, the data collected enable longitudinal studies to be carried out with a detail that other sources cannot approximate. However, despite the great potential of these data, the data collecting systems are usually intended for purely accounting purposes and not for carrying out mobility studies. Largely for this reason, these data are not always used to their full potential, and so it is necessary to propose strategies that allow the preparation and exploitation of these data, especially in those cases where the usefulness and value of the data have not yet been proven. This study proposes a workflow that seeks to prevent duplication of efforts when querying this type of data. The implementation of a generic database model and a protocol for sharing meaningful queries and results greatly facilitates an initial analysis of these data. This strategy has been applied within a specific project, but it could be the basis for sharing methods between different studies.}, keywords = {Geographic Information Systems (GIS), public transport, urban mobility}, pubstate = {published}, tppubtype = {inproceedings} } Data from automated fare collection systems have become almost essential in the study of the mobility of people using public transport. Among other advantages, the data collected enable longitudinal studies to be carried out with a detail that other sources cannot approximate. However, despite the great potential of these data, the data collecting systems are usually intended for purely accounting purposes and not for carrying out mobility studies. Largely for this reason, these data are not always used to their full potential, and so it is necessary to propose strategies that allow the preparation and exploitation of these data, especially in those cases where the usefulness and value of the data have not yet been proven. This study proposes a workflow that seeks to prevent duplication of efforts when querying this type of data. The implementation of a generic database model and a protocol for sharing meaningful queries and results greatly facilitates an initial analysis of these data. This strategy has been applied within a specific project, but it could be the basis for sharing methods between different studies. |
Zaragozí, Benito; Rodríguez-Sala, Jesús Javier; Trilles-Oliver, Sergio; Ramón-Morte, Alfredo Geographical Information Systems Theory, Applications and Management. GISTAM 2020, pp. 85-101, Springer, Cham, 2021, ISBN: 978-3-030-76374-9. Abstract | Links | BibTeX | Tags: Geographic Information Systems (GIS), land cover classification @inproceedings{Zaragozi2021e, title = {Integration of New Data Layers to Support the Land Cover and Use Information System of Spain (SIOSE): An Approach from Object-Oriented Modelling}, author = {Benito Zaragozí and Jesús Javier Rodríguez-Sala and Sergio Trilles-Oliver and Alfredo Ramón-Morte}, doi = {https://doi.org/10.1007/978-3-030-76374-9_6}, isbn = {978-3-030-76374-9}, year = {2021}, date = {2021-06-01}, booktitle = {Geographical Information Systems Theory, Applications and Management. GISTAM 2020}, volume = {1411}, pages = {85-101}, publisher = {Springer, Cham}, series = {Communications in Computer and Information Science}, abstract = {Land use and land cover (LULC) information is essential in territorial planning for the study of natural risks and landscape science. Given the importance of LULC data, increasing efforts are being focused on producing quality and easily accessible databases. In Spain, the Land Use and Cover Information System (SIOSE) is a clear example of these efforts. The SIOSE database was one of the first to be built following an object-oriented data model and a set of specifications that facilitates the integration of data from different sources. However, the SIOSE information alone is so accurate and complete that there is a usability gap that means that this data is not used to its full potential in some contexts, nor is the possibility of integrating other data sources considered. In this work, we examine the circumstances of this usability gap, its causes and consequences, and we introduce an extension of the SIOSE object-oriented data model that will enable enriching the LULC data including new useful data for different types of studies. Finally, an example of implementation of this extended model serves to encourage the user community to propose and disseminate new extended LULC datasets that facilitate various types of landscape studies.}, keywords = {Geographic Information Systems (GIS), land cover classification}, pubstate = {published}, tppubtype = {inproceedings} } Land use and land cover (LULC) information is essential in territorial planning for the study of natural risks and landscape science. Given the importance of LULC data, increasing efforts are being focused on producing quality and easily accessible databases. In Spain, the Land Use and Cover Information System (SIOSE) is a clear example of these efforts. The SIOSE database was one of the first to be built following an object-oriented data model and a set of specifications that facilitates the integration of data from different sources. However, the SIOSE information alone is so accurate and complete that there is a usability gap that means that this data is not used to its full potential in some contexts, nor is the possibility of integrating other data sources considered. In this work, we examine the circumstances of this usability gap, its causes and consequences, and we introduce an extension of the SIOSE object-oriented data model that will enable enriching the LULC data including new useful data for different types of studies. Finally, an example of implementation of this extended model serves to encourage the user community to propose and disseminate new extended LULC datasets that facilitate various types of landscape studies. |
Pascacio-de-los-Santos, Pavel; Casteleyn, Sven; Torres-Sospedra, Joaquín Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach Inproceedings Proceedings of the 2021 International Conference on Localization and GNSS (ICL-GNSS), pp. 1-6, IEEE, 2021, ISBN: 978-1-7281-9645-9. Abstract | Links | BibTeX | Tags: Indoor positioning, machine learning @inproceedings{Pascacio2021b, title = {Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach}, author = {Pavel Pascacio-de-los-Santos and Sven Casteleyn and Joaquín Torres-Sospedra}, doi = {https://doi.org/10.1109/ICL-GNSS51451.2021.9452226}, isbn = {978-1-7281-9645-9}, year = {2021}, date = {2021-06-01}, booktitle = {Proceedings of the 2021 International Conference on Localization and GNSS (ICL-GNSS)}, pages = {1-6}, publisher = {IEEE}, abstract = {Positioning people indoors has known an exponential growth in the last few years, especially thanks to Bluetooth Low Energy (BLE) technology and the Received Signal Strength Indicator (RSSI) technique. This approach is available in wearable devices, is easy to implement and has energy consumption advantages. However, the relative distance calculation is inaccurate, as the strength of BLE signals significantly fluctuates in indoor environments. Typical coping mechanisms, such as path-loss propagation models, require mathematical modeling and time-consuming calibration, that depend on the environment. In this paper, we propose a novel distance estimator based on RSSI-fuzzy classification of the BLE signals. Fuzzy-logic improves the robustness and accuracy of RSSI-based estimators, does not require an explicit propagation model and is easy and intuitive to (graphically) tune (using basic statistical analysis). The estimator's suitability and the feasibility to provide an easy implementation were experimentally demonstrated in two scenarios with real-world data.}, keywords = {Indoor positioning, machine learning}, pubstate = {published}, tppubtype = {inproceedings} } Positioning people indoors has known an exponential growth in the last few years, especially thanks to Bluetooth Low Energy (BLE) technology and the Received Signal Strength Indicator (RSSI) technique. This approach is available in wearable devices, is easy to implement and has energy consumption advantages. However, the relative distance calculation is inaccurate, as the strength of BLE signals significantly fluctuates in indoor environments. Typical coping mechanisms, such as path-loss propagation models, require mathematical modeling and time-consuming calibration, that depend on the environment. In this paper, we propose a novel distance estimator based on RSSI-fuzzy classification of the BLE signals. Fuzzy-logic improves the robustness and accuracy of RSSI-based estimators, does not require an explicit propagation model and is easy and intuitive to (graphically) tune (using basic statistical analysis). The estimator's suitability and the feasibility to provide an easy implementation were experimentally demonstrated in two scenarios with real-world data. |
González-Mora, César; Garrigós, Irene; Mazón, Jose-Norberto; Casteleyn, Sven; Firmenich, Sergio Open Data Accessibility Based on Voice Commands Inproceedings Web Engineering. ICWE 2021, Springer, Cham, 2021, ISBN: 978-3-030-74296-6. Abstract | Links | BibTeX | Tags: open data, web accessibility @inproceedings{Gonzalez-Mora2021a, title = {Open Data Accessibility Based on Voice Commands}, author = {César González-Mora and Irene Garrigós and Jose-Norberto Mazón and Sven Casteleyn and Sergio Firmenich}, doi = {https://doi.org/10.1007/978-3-030-74296-6_34}, isbn = {978-3-030-74296-6}, year = {2021}, date = {2021-05-31}, booktitle = {Web Engineering. ICWE 2021}, volume = {12706}, publisher = {Springer, Cham}, series = { Lecture Notes in Computer Science}, abstract = {Nowadays, the accessibility of open data on the Web is problematic, in particular for those data enthusiasts (non-technical users really interested in data) with visual disabilities. They generally experience accessibility barriers when browsing open data portals. Therefore, in order to improve accessibility and facilitate visually impaired users to obtain open data, we propose a Web Augmentation Framework for Accessibility for Open Data (WAFRA4OD). The proposed approach uses Web augmentation techniques and voice interaction to help users in finding relevant open data by offering them various useful comments, including a full fledged voice interaction interface. Thereby, WAFRA4OD enables visually impaired data enthusiasts to explore and interact with open data portals using voice commands, and thus improves the accessibility of open data. To show the feasibility of WAFRA4OD we demonstrate its use in a case study using the European Data Portal.}, keywords = {open data, web accessibility}, pubstate = {published}, tppubtype = {inproceedings} } Nowadays, the accessibility of open data on the Web is problematic, in particular for those data enthusiasts (non-technical users really interested in data) with visual disabilities. They generally experience accessibility barriers when browsing open data portals. Therefore, in order to improve accessibility and facilitate visually impaired users to obtain open data, we propose a Web Augmentation Framework for Accessibility for Open Data (WAFRA4OD). The proposed approach uses Web augmentation techniques and voice interaction to help users in finding relevant open data by offering them various useful comments, including a full fledged voice interaction interface. Thereby, WAFRA4OD enables visually impaired data enthusiasts to explore and interact with open data portals using voice commands, and thus improves the accessibility of open data. To show the feasibility of WAFRA4OD we demonstrate its use in a case study using the European Data Portal. |
Ometov, Aleksandr; Chukhno, Olga; Chukhno, Nadezhda; Nurmi, Jari; Lohan, Elena Simona When wearable technology meets computing in future networks: a road ahead Inproceedings Proceedings of the 18th ACM International Conference on Computing Frontiers, pp. 185–190, ACM, 2021, ISBN: 9781450384049. Abstract | Links | BibTeX | Tags: A-wear, wearables @inproceedings{Ometov2021a, title = {When wearable technology meets computing in future networks: a road ahead}, author = {Aleksandr Ometov and Olga Chukhno and Nadezhda Chukhno and Jari Nurmi and Elena Simona Lohan}, doi = {https://doi.org/10.1145/3457388.3458614}, isbn = {9781450384049}, year = {2021}, date = {2021-05-01}, booktitle = {Proceedings of the 18th ACM International Conference on Computing Frontiers}, pages = {185–190}, publisher = {ACM}, abstract = {Rapid technology advancement, economic growth, and industrialization have paved the way for developing a new niche of small body-worn personal devices, gathered together under a wearable-technology title. The triggers stimulated by end-users interest have introduced the first generation of mass-consumer wearables in just the past decade. Evidently, the trailblazing ones were not designed with strict energy-consumption restrictions in mind. Thus, wearable-computing-related research remained fragmented. Advanced and sophisticated batteries and communication technologies could be already procurable on devices. Additional solutions for efficient utilization of processing power are still a white spot on the wearable technology roadmap. A-WEAR EU project aims to enhance the understanding of how the superimposition of those technologies would improve wearable devices' energy efficiency, with the research area being far from saturation. We foresee enormous room for research as the Edge computing paradigm is emerging towards hand-held devices.}, keywords = {A-wear, wearables}, pubstate = {published}, tppubtype = {inproceedings} } Rapid technology advancement, economic growth, and industrialization have paved the way for developing a new niche of small body-worn personal devices, gathered together under a wearable-technology title. The triggers stimulated by end-users interest have introduced the first generation of mass-consumer wearables in just the past decade. Evidently, the trailblazing ones were not designed with strict energy-consumption restrictions in mind. Thus, wearable-computing-related research remained fragmented. Advanced and sophisticated batteries and communication technologies could be already procurable on devices. Additional solutions for efficient utilization of processing power are still a white spot on the wearable technology roadmap. A-WEAR EU project aims to enhance the understanding of how the superimposition of those technologies would improve wearable devices' energy efficiency, with the research area being far from saturation. We foresee enormous room for research as the Edge computing paradigm is emerging towards hand-held devices. |
Rodríguez-Pupo, Luis Enrique An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics in Location-aware Games PhD Thesis Universitat Jaume I. INIT, 2021. Abstract | Links | BibTeX | Tags: context-aware computing, geogames, geolocation, location-based services @phdthesis{Rodriguez2021b, title = {An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics in Location-aware Games}, author = {Luis Enrique Rodríguez-Pupo}, url = {http://hdl.handle.net/10803/671588}, doi = {http://dx.doi.org/10.6035/14101.2021.357562}, year = {2021}, date = {2021-04-28}, school = {Universitat Jaume I. INIT}, abstract = {This thesis presents an analytics platform for calculating spatio-temporal metrics in the context of geogames and context-based applications. It is based on an underlying conceptual model for spatio-temporal metrics, which consists of dimensions and variables to describe spatial and temporal phenomena, metrics functions to calculate application-relevant information and conditions using these data models, and actions to be triggered when certain conditions are met. The analytics platform is implemented as a cloud-based, distributed application that allows developers to define data requirements, collect required (client-generated) data, and define and execute spatio-temporal metrics. It is designed to handle large amounts of (streaming) data and to scale well under increasing amounts of data and metrics computations. The platform is validated in two experiments: a location-aware game for collecting noise data in a city and a mobile application for location-based mental health treatments, which shows its usability, versatility and feasibility in real-world scenario}, keywords = {context-aware computing, geogames, geolocation, location-based services}, pubstate = {published}, tppubtype = {phdthesis} } This thesis presents an analytics platform for calculating spatio-temporal metrics in the context of geogames and context-based applications. It is based on an underlying conceptual model for spatio-temporal metrics, which consists of dimensions and variables to describe spatial and temporal phenomena, metrics functions to calculate application-relevant information and conditions using these data models, and actions to be triggered when certain conditions are met. The analytics platform is implemented as a cloud-based, distributed application that allows developers to define data requirements, collect required (client-generated) data, and define and execute spatio-temporal metrics. It is designed to handle large amounts of (streaming) data and to scale well under increasing amounts of data and metrics computations. The platform is validated in two experiments: a location-aware game for collecting noise data in a city and a mobile application for location-based mental health treatments, which shows its usability, versatility and feasibility in real-world scenario |
Torres-Sospedra, Joaquín; Martínez-Salvador, Begoña; Sancho, Cristina Campos; Marcos, Mar Process Model Metrics for Quality Assessment of Computer-Interpretable Guidelines in PROforma Journal Article Applied Sciences, 11 (7), pp. 2922, 2021, ISSN: 2076-3417. Abstract | Links | BibTeX | Tags: Software metrics, software models @article{Torres-Sospedra2021a, title = {Process Model Metrics for Quality Assessment of Computer-Interpretable Guidelines in PROforma}, author = {Joaquín Torres-Sospedra and Begoña Martínez-Salvador and Cristina Campos Sancho and Mar Marcos}, doi = {https://doi.org/10.3390/app11072922}, issn = {2076-3417}, year = {2021}, date = {2021-03-25}, journal = {Applied Sciences}, volume = {11}, number = {7}, pages = {2922}, abstract = {Background: Clinical Practice Guidelines (CPGs) include recommendations to optimize patient care and thus have the potential to improve the quality and outcomes of healthcare. To achieve this, CPG recommendations are usually formalized in terms of Computer-Interpretable Guideline (CIG) languages. However, a clear understanding of CIG models may prove complicated, due to the inherent complexity of CPGs and the specificities of CIG languages. Drawing a parallel with the Business Process Management (BPM) and the Software Engineering fields, understandability and modifiability of CIG models can be regarded as primary quality attributes, in order to facilitate their validation, as well as their adaptation to accommodate evolving clinical evidence, by modelers (typically teams made up of clinical and IT experts). This constitutes a novel approach in this area of CIG development, where understandability and modifiability aspects have not been considered to date. Objective: In this paper, we define a comprehensive set of process model metrics for CIGs described in the PROforma CIG language, with the main objective of providing tools for quality assessment of CIG models in this language. Methods: To this end, we first reinterpret a set of metrics from the BPM field in terms of PROforma and then we define new metrics to capture the singularities of PROforma models. Additionally, we report on a set of experiments to assess the relationship between the structural and logical properties of CIG models, as measured by the proposed metrics, and their understandability and modifiability from the point of view of modelers, both clinicians and IT staff. For the analysis of the experiment results, we perform statistical analysis based on a generalized linear mixed model with binary logistic regression. Results: Our contribution includes the definition of a comprehensive set of metrics that allow measuring model quality aspects of PROforma CIG models, the implementation of tools and algorithms to assess the metrics for PROforma models, and the empirical validation of the proposed metrics as quality indicators. Conclusions: In light of the results, we conclude that the proposed metrics can be of great value, as they capture the PROforma-specific features in addition to those inspired by the general-purpose BPM metrics in the literature. In particular, the newly defined metrics for PROforma prevail as statistically significant when the whole CIG model is considered, which means that they better characterize its complexity. Consequently, the proposed metrics can be used as quality indicators of the understandability, and thereby maintainability, of PROforma CIGs}, keywords = {Software metrics, software models}, pubstate = {published}, tppubtype = {article} } Background: Clinical Practice Guidelines (CPGs) include recommendations to optimize patient care and thus have the potential to improve the quality and outcomes of healthcare. To achieve this, CPG recommendations are usually formalized in terms of Computer-Interpretable Guideline (CIG) languages. However, a clear understanding of CIG models may prove complicated, due to the inherent complexity of CPGs and the specificities of CIG languages. Drawing a parallel with the Business Process Management (BPM) and the Software Engineering fields, understandability and modifiability of CIG models can be regarded as primary quality attributes, in order to facilitate their validation, as well as their adaptation to accommodate evolving clinical evidence, by modelers (typically teams made up of clinical and IT experts). This constitutes a novel approach in this area of CIG development, where understandability and modifiability aspects have not been considered to date. Objective: In this paper, we define a comprehensive set of process model metrics for CIGs described in the PROforma CIG language, with the main objective of providing tools for quality assessment of CIG models in this language. Methods: To this end, we first reinterpret a set of metrics from the BPM field in terms of PROforma and then we define new metrics to capture the singularities of PROforma models. Additionally, we report on a set of experiments to assess the relationship between the structural and logical properties of CIG models, as measured by the proposed metrics, and their understandability and modifiability from the point of view of modelers, both clinicians and IT staff. For the analysis of the experiment results, we perform statistical analysis based on a generalized linear mixed model with binary logistic regression. Results: Our contribution includes the definition of a comprehensive set of metrics that allow measuring model quality aspects of PROforma CIG models, the implementation of tools and algorithms to assess the metrics for PROforma models, and the empirical validation of the proposed metrics as quality indicators. Conclusions: In light of the results, we conclude that the proposed metrics can be of great value, as they capture the PROforma-specific features in addition to those inspired by the general-purpose BPM metrics in the literature. In particular, the newly defined metrics for PROforma prevail as statistically significant when the whole CIG model is considered, which means that they better characterize its complexity. Consequently, the proposed metrics can be used as quality indicators of the understandability, and thereby maintainability, of PROforma CIGs |
Furfari, Francesco; Crivello, Antonino; Baronti, Paolo; Barsocchi, Paolo; Girolami, Michele; Palumbo, Filippo; Quezada-Gaibor, Darwin; Mendoza-Silva, Germán Martin; Torres-Sospedra, Joaquín Discovering location based services: A unified approach for heterogeneous indoor localization systems Journal Article Internet of Things, 13 (1001511), 2021, ISSN: 2542-6605. Abstract | Links | BibTeX | Tags: Indoor localization, Indoor positioning, location-based services @article{Furfari2021, title = {Discovering location based services: A unified approach for heterogeneous indoor localization systems}, author = {Francesco Furfari and Antonino Crivello and Paolo Baronti and Paolo Barsocchi and Michele Girolami and Filippo Palumbo and Darwin Quezada-Gaibor and Germán Martin Mendoza-Silva and Joaquín Torres-Sospedra}, doi = {https://doi.org/10.1016/j.iot.2020.100334}, issn = {2542-6605}, year = {2021}, date = {2021-03-01}, journal = {Internet of Things}, volume = {13}, number = {1001511}, abstract = {The technological solutions and communication capabilities offered by the Internet of Things paradigm, in terms of raising availability of wearable devices, the ubiquitous internet connection, and the presence on the market of service-oriented solutions, have allowed a wide proposal of Location Based Services (LBS). In a close future, we foresee that companies and service providers will have developed reliable solutions to address indoor positioning, as basis for useful location based services. These solutions will be different from each other and they will adopt different hardware and processing techniques. This paper describes the proposal of a unified approach for Indoor Localization Systems that enables the cooperation between heterogeneous solutions and their functional modules. To this end, we designed an integrated architecture that, abstracting its main components, allows a seamless interaction among them. Finally, we present a working prototype of such architecture, which is based on the popular Telegram application for Android, as an integration demonstrator. The integration of the three main phases –namely the discovery phase, the User Agent self-configuration, and the indoor map retrieval/rendering– demonstrates the feasibility of the proposed integrated architecture.}, keywords = {Indoor localization, Indoor positioning, location-based services}, pubstate = {published}, tppubtype = {article} } The technological solutions and communication capabilities offered by the Internet of Things paradigm, in terms of raising availability of wearable devices, the ubiquitous internet connection, and the presence on the market of service-oriented solutions, have allowed a wide proposal of Location Based Services (LBS). In a close future, we foresee that companies and service providers will have developed reliable solutions to address indoor positioning, as basis for useful location based services. These solutions will be different from each other and they will adopt different hardware and processing techniques. This paper describes the proposal of a unified approach for Indoor Localization Systems that enables the cooperation between heterogeneous solutions and their functional modules. To this end, we designed an integrated architecture that, abstracting its main components, allows a seamless interaction among them. Finally, we present a working prototype of such architecture, which is based on the popular Telegram application for Android, as an integration demonstrator. The integration of the three main phases –namely the discovery phase, the User Agent self-configuration, and the indoor map retrieval/rendering– demonstrates the feasibility of the proposed integrated architecture. |
Iskandaryan, Ditsuhi; Ramos-Romero, Francisco; Trilles-Oliver, Sergio Features Exploration from Datasets Vision in Air Quality Prediction Domain Journal Article Atmosphere, 12 (3), pp. 312, 2021, ISSN: 2073-4433. Abstract | Links | BibTeX | Tags: air quality prediction, data, machine learning @article{Iskandaryan2021a, title = {Features Exploration from Datasets Vision in Air Quality Prediction Domain}, author = {Ditsuhi Iskandaryan and Francisco Ramos-Romero and Sergio Trilles-Oliver}, doi = {https://doi.org/10.3390/atmos12030312}, issn = {2073-4433}, year = {2021}, date = {2021-02-28}, journal = {Atmosphere}, volume = {12}, number = {3}, pages = {312}, abstract = {Air pollution and its consequences are negatively impacting on the world population and the environment, which converts the monitoring and forecasting air quality techniques as essential tools to combat this problem. To predict air quality with maximum accuracy, along with the implemented models and the quantity of the data, it is crucial also to consider the dataset types. This study selected a set of research works in the field of air quality prediction and is concentrated on the exploration of the datasets utilised in them. The most significant findings of this research work are: (1) meteorological datasets were used in 94.6% of the papers leaving behind the rest of the datasets with a big difference, which is complemented with others, such as temporal data, spatial data, and so on; (2) the usage of various datasets combinations has been commenced since 2009; and (3) the utilisation of open data have been started since 2012, 32.3% of the studies used open data, and 63.4% of the studies did not provide the data.}, keywords = {air quality prediction, data, machine learning}, pubstate = {published}, tppubtype = {article} } Air pollution and its consequences are negatively impacting on the world population and the environment, which converts the monitoring and forecasting air quality techniques as essential tools to combat this problem. To predict air quality with maximum accuracy, along with the implemented models and the quantity of the data, it is crucial also to consider the dataset types. This study selected a set of research works in the field of air quality prediction and is concentrated on the exploration of the datasets utilised in them. The most significant findings of this research work are: (1) meteorological datasets were used in 94.6% of the papers leaving behind the rest of the datasets with a big difference, which is complemented with others, such as temporal data, spatial data, and so on; (2) the usage of various datasets combinations has been commenced since 2009; and (3) the utilisation of open data have been started since 2012, 32.3% of the studies used open data, and 63.4% of the studies did not provide the data. |
Zaragozí, Benito; Trilles-Oliver, Sergio; Gutiérrez, Aaron Passive Mobile Data for Studying Seasonal Tourism Mobilities: an Application in a Mediterranean Coastal Destination Journal Article ISPRS International Journal of Geo-Information, 10 (2), pp. 98, 2021. Abstract | Links | BibTeX | Tags: mobile GIS, urban mobility @article{Zaragozí2021, title = {Passive Mobile Data for Studying Seasonal Tourism Mobilities: an Application in a Mediterranean Coastal Destination}, author = {Benito Zaragozí and Sergio Trilles-Oliver and Aaron Gutiérrez}, doi = {https://doi.org/10.3390/ijgi10020098}, year = {2021}, date = {2021-02-25}, journal = {ISPRS International Journal of Geo-Information}, volume = {10}, number = {2}, pages = {98}, abstract = {The article uses passive mobile data to analyse the complex mobilities that occur in a coastal region characterised by seasonal patterns of tourism activity. A large volume of data generated by mobile phone users has been selected and processed to subsequently display the information in the form of visualisations that are useful for transport and tourism research, policy, and practice. More specifically, the analysis consisted of four steps: (1) a dataset containing records for four days—two on summer days and two in winter—was selected, (2) these were aggregated spatially, temporally, and differentiating trips by local residents, national tourists, and international tourists, (3) origin-destination matrices were built, and (4) graph-based visualisations were created to provide evidence on the nature of the mobilities affecting the study area. The results of our work provide new evidence of how the analysis of passive mobile data can be useful to study the effects of tourism seasonality in local mobility patterns}, keywords = {mobile GIS, urban mobility}, pubstate = {published}, tppubtype = {article} } The article uses passive mobile data to analyse the complex mobilities that occur in a coastal region characterised by seasonal patterns of tourism activity. A large volume of data generated by mobile phone users has been selected and processed to subsequently display the information in the form of visualisations that are useful for transport and tourism research, policy, and practice. More specifically, the analysis consisted of four steps: (1) a dataset containing records for four days—two on summer days and two in winter—was selected, (2) these were aggregated spatially, temporally, and differentiating trips by local residents, national tourists, and international tourists, (3) origin-destination matrices were built, and (4) graph-based visualisations were created to provide evidence on the nature of the mobilities affecting the study area. The results of our work provide new evidence of how the analysis of passive mobile data can be useful to study the effects of tourism seasonality in local mobility patterns |
Gould, Michael GIS in Africa Journal Article Transactions in GIS, 25 (2), pp. 672-673, 2021, ISSN: 1467-9671. Links | BibTeX | Tags: Geographic Information Systems (GIS) @article{Gould2021a, title = {GIS in Africa}, author = {Michael Gould}, doi = {https://doi.org/10.1111/tgis.12740}, issn = {1467-9671}, year = {2021}, date = {2021-02-16}, journal = {Transactions in GIS}, volume = {25}, number = {2}, pages = {672-673}, keywords = {Geographic Information Systems (GIS)}, pubstate = {published}, tppubtype = {article} } |
Pascacio-de-los-Santos, Pavel; Casteleyn, Sven; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari Collaborative Indoor Positioning Systems: A Systematic Review Journal Article Sensors, 21 (3), pp. 1002, 2021. Abstract | Links | BibTeX | Tags: A-wear, Indoor positioning @article{Pascacio-de-los-Santos2021, title = {Collaborative Indoor Positioning Systems: A Systematic Review}, author = {Pavel Pascacio-de-los-Santos and Sven Casteleyn and Joaquín Torres-Sospedra and Elena Simona Lohan and Jari Nurmi}, doi = {https://doi.org/10.3390/s21031002 }, year = {2021}, date = {2021-02-03}, journal = {Sensors}, volume = {21}, number = {3}, pages = {1002}, abstract = {Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing steadily due to their potential to improve on the performance of their non-collaborative counterparts. In contrast to the outdoors scenario, where Global Navigation Satellite System is widely adopted, in (collaborative) indoor positioning systems a large variety of technologies, techniques, and methods is being used. Moreover, the diversity of evaluation procedures and scenarios hinders a direct comparison. This paper presents a systematic review that gives a general view of the current CIPSs. A total of 84 works, published between 2006 and 2020, have been identified. These articles were analyzed and classified according to the described system’s architecture, infrastructure, technologies, techniques, methods, and evaluation. The results indicate a growing interest in collaborative positioning, and the trend tend to be towards the use of distributed architectures and infrastructure-less systems. Moreover, the most used technologies to determine the collaborative positioning between users are wireless communication technologies (Wi-Fi, Ultra-WideBand, and Bluetooth). The predominant collaborative positioning techniques are Received Signal Strength Indication, Fingerprinting, and Time of Arrival/Flight, and the collaborative methods are particle filters, Belief Propagation, Extended Kalman Filter, and Least Squares. Simulations are used as the main evaluation procedure. On the basis of the analysis and results, several promising future research avenues and gaps in research were identified}, keywords = {A-wear, Indoor positioning}, pubstate = {published}, tppubtype = {article} } Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing steadily due to their potential to improve on the performance of their non-collaborative counterparts. In contrast to the outdoors scenario, where Global Navigation Satellite System is widely adopted, in (collaborative) indoor positioning systems a large variety of technologies, techniques, and methods is being used. Moreover, the diversity of evaluation procedures and scenarios hinders a direct comparison. This paper presents a systematic review that gives a general view of the current CIPSs. A total of 84 works, published between 2006 and 2020, have been identified. These articles were analyzed and classified according to the described system’s architecture, infrastructure, technologies, techniques, methods, and evaluation. The results indicate a growing interest in collaborative positioning, and the trend tend to be towards the use of distributed architectures and infrastructure-less systems. Moreover, the most used technologies to determine the collaborative positioning between users are wireless communication technologies (Wi-Fi, Ultra-WideBand, and Bluetooth). The predominant collaborative positioning techniques are Received Signal Strength Indication, Fingerprinting, and Time of Arrival/Flight, and the collaborative methods are particle filters, Belief Propagation, Extended Kalman Filter, and Least Squares. Simulations are used as the main evaluation procedure. On the basis of the analysis and results, several promising future research avenues and gaps in research were identified |
Silva, Germán Mendoza M; Torres-Sospedra, Joaquín; Potorti, Francesco; Moreira, Adriano; Knauth, Stefan; Berkvens, Rafael; Huerta-Guijarro, Joaquín Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location Journal Article IEEE Transactions on Instrumentation and Measurement, 70 (1001511), 2021. Abstract | Links | BibTeX | Tags: Indoor positioning @article{Mendoza-Silva2021, title = {Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location}, author = {Germán M. Mendoza Silva and Joaquín Torres-Sospedra and Francesco Potorti and Adriano Moreira and Stefan Knauth and Rafael Berkvens and Joaquín Huerta-Guijarro}, doi = {https://doi.org/10.1109/TIM.2020.3021514}, year = {2021}, date = {2021-02-02}, journal = {IEEE Transactions on Instrumentation and Measurement}, volume = {70}, number = {1001511}, abstract = {Indoor positioning systems (IPSs) suffer from a lack of standard evaluation procedures enabling credible comparisons: this is one of the main challenges hindering their widespread market adoption. Traditionally, accuracy evaluation is based on positioning errors defined as the Euclidean distance between the true positions and the estimated positions. While Euclidean is simple, it ignores obstacles and floor transitions. In this article, we describe procedures that measure a positioning error defined as the length of the pedestrian path that connects the estimated position to the true position. The procedures apply pathfinding on floor maps using visibility graphs (VGs) or navigational meshes (NMs) for vector maps and fast marching (FM) for raster maps. Multifloor and multibuilding paths use the information on vertical in-building communication ways and outdoor paths. The proposed measurement procedures are applied to position estimates provided by the IPSs that participated in the EvAAL-ETRI 2015 competition. Procedures are compared in terms of pedestrian path realism, indoor model complexity, path computation time, and error magnitudes. The VGs algorithm computes shortest distance paths; NMs produce very similar paths with significantly shorter computation time; and FM computes longer, more natural-looking paths at the expense of longer computation time and memory size. The 75th percentile of the measured error differs among the methods from 2.2 to 3.7 m across the evaluation sets. }, keywords = {Indoor positioning}, pubstate = {published}, tppubtype = {article} } Indoor positioning systems (IPSs) suffer from a lack of standard evaluation procedures enabling credible comparisons: this is one of the main challenges hindering their widespread market adoption. Traditionally, accuracy evaluation is based on positioning errors defined as the Euclidean distance between the true positions and the estimated positions. While Euclidean is simple, it ignores obstacles and floor transitions. In this article, we describe procedures that measure a positioning error defined as the length of the pedestrian path that connects the estimated position to the true position. The procedures apply pathfinding on floor maps using visibility graphs (VGs) or navigational meshes (NMs) for vector maps and fast marching (FM) for raster maps. Multifloor and multibuilding paths use the information on vertical in-building communication ways and outdoor paths. The proposed measurement procedures are applied to position estimates provided by the IPSs that participated in the EvAAL-ETRI 2015 competition. Procedures are compared in terms of pedestrian path realism, indoor model complexity, path computation time, and error magnitudes. The VGs algorithm computes shortest distance paths; NMs produce very similar paths with significantly shorter computation time; and FM computes longer, more natural-looking paths at the expense of longer computation time and memory size. The 75th percentile of the measured error differs among the methods from 2.2 to 3.7 m across the evaluation sets. |
Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Granell-Canut, Carlos; Talvitie, Jukka; Valkama, Mikko; Nurmi, Jari Direct Lightweight Temporal Compression for Wearable Sensor Data Journal Article IEEE Sensors Letters, 5 (2), pp. 7000404, 2021, ISSN: 2475-1472. Abstract | Links | BibTeX | Tags: A-wear, Sensors, wearables @article{Klus2021, title = {Direct Lightweight Temporal Compression for Wearable Sensor Data}, author = {Lucie Klus and Roman Klus and Elena Simona Lohan and Carlos Granell-Canut and Jukka Talvitie and Mikko Valkama and Jari Nurmi}, doi = {https://doi.org/10.1109/LSENS.2021.3051809 }, issn = {2475-1472}, year = {2021}, date = {2021-01-15}, journal = {IEEE Sensors Letters}, volume = {5}, number = {2}, pages = {7000404}, abstract = {Emerging technologies enable massive deployment of wireless sensor networks across many industries. Internet of Things (IoT) devices are often deployed in critical infrastructure or health monitoring and require fast reaction time, reasonable accuracy, and high energy efficiency. In this letter, we introduce a lossy compression method for time-series data, named direct lightweight temporal compression (DLTC), enabling energy-efficient data transfer for power-restricted devices. Our method is based on the lightweight temporal compression method, targeting further reconstruction error minimization and complexity reduction. This letter highlights the key advantages of the proposed method and evaluates the method's performance on several sensor-based, time-series data types. We prove that DLTC outperforms the considered benchmark methods in compression efficiency at the same reconstruction error level. }, keywords = {A-wear, Sensors, wearables}, pubstate = {published}, tppubtype = {article} } Emerging technologies enable massive deployment of wireless sensor networks across many industries. Internet of Things (IoT) devices are often deployed in critical infrastructure or health monitoring and require fast reaction time, reasonable accuracy, and high energy efficiency. In this letter, we introduce a lossy compression method for time-series data, named direct lightweight temporal compression (DLTC), enabling energy-efficient data transfer for power-restricted devices. Our method is based on the lightweight temporal compression method, targeting further reconstruction error minimization and complexity reduction. This letter highlights the key advantages of the proposed method and evaluates the method's performance on several sensor-based, time-series data types. We prove that DLTC outperforms the considered benchmark methods in compression efficiency at the same reconstruction error level. |
Oktaya, Simge Özdal; Trilles-Oliver, Sergio; Acedo-Sánchez, Albert; Benitez-Paez, Fernando; Gupta, Shivam; Kray, Christian Openness: A Key Factor for Smart Cities Book Chapter Augusto, Juan Carlos (Ed.): Handbook of Smart Cities, pp. 1-32, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-15145-4. Abstract | Links | BibTeX | Tags: Smart Cities @inbook{Özdal-Oktaya2021, title = {Openness: A Key Factor for Smart Cities}, author = {Simge Özdal Oktaya and Sergio Trilles-Oliver and Albert Acedo-Sánchez and Fernando Benitez-Paez and Shivam Gupta and Christian Kray}, editor = {Juan Carlos Augusto}, doi = {https://doi.org/10.1007/978-3-030-15145-4_69-1}, isbn = {978-3-030-15145-4}, year = {2021}, date = {2021-01-08}, booktitle = {Handbook of Smart Cities}, journal = {ISPRS International Journal of Geo-Information}, pages = {1-32}, publisher = {Springer International Publishing}, address = {Cham}, abstract = {Smart cities incorporate a variety of technologies into the urban fabric and provide services based on these technologies, different types of data, and its analysis. How these technologies, services, data, and analyses are designed and governed has far-reaching implications for how a smart city operates and how its citizens experience it. Proprietary technologies, opaque analyses, and closed data can have a negative impact on acceptance, inclusion, sovereignty, and innovation. Conversely, opening up data and analysis as well as facilitating easy access and interoperability have the potential to positively affect these factors. In this chapter, the concept of openness in the context of smart cities is introduced. The concept describes on multiple levels how open (or closed) a city is. Openness in smart cities incorporates three key dimensions – transparency, participation, and collaboration – which affect various domains such as data processing or service provision. Using examples from ongoing and previous research, this chapter also discusses how to realize openness in practice and what benefits and drawbacks can result from different degrees of openness. Based on these considerations, a number of key issues are highlighted that are important to take into account in the design of smart cities and in the transformation process towards a sustainable, smart, and open city.}, keywords = {Smart Cities}, pubstate = {published}, tppubtype = {inbook} } Smart cities incorporate a variety of technologies into the urban fabric and provide services based on these technologies, different types of data, and its analysis. How these technologies, services, data, and analyses are designed and governed has far-reaching implications for how a smart city operates and how its citizens experience it. Proprietary technologies, opaque analyses, and closed data can have a negative impact on acceptance, inclusion, sovereignty, and innovation. Conversely, opening up data and analysis as well as facilitating easy access and interoperability have the potential to positively affect these factors. In this chapter, the concept of openness in the context of smart cities is introduced. The concept describes on multiple levels how open (or closed) a city is. Openness in smart cities incorporates three key dimensions – transparency, participation, and collaboration – which affect various domains such as data processing or service provision. Using examples from ongoing and previous research, this chapter also discusses how to realize openness in practice and what benefits and drawbacks can result from different degrees of openness. Based on these considerations, a number of key issues are highlighted that are important to take into account in the design of smart cities and in the transformation process towards a sustainable, smart, and open city. |
Granell-Canut, Carlos; Pesántez-Cabrera, Paola; Vilches-Blázquez, Luis; Achig, Rosario; Luaces, Miguel; Cortiñas-Álvarez, Alejandro; Chayle, Carolina; Morocho-Zurita, Villie A scoping review on the use, processing and fusion of geographic data in virtual assistants Journal Article Transactions in GIS, 25 (4), pp. 1784-1808, 2021, ISBN: 1361-1682. Abstract | Links | BibTeX | Tags: data analysis methods, Geographic Information Systems (GIS), review, virtual assistants @article{Granell2021, title = {A scoping review on the use, processing and fusion of geographic data in virtual assistants}, author = {Carlos Granell-Canut and Paola Pesántez-Cabrera and Luis Vilches-Blázquez and Rosario Achig and Miguel Luaces and Alejandro Cortiñas-Álvarez and Carolina Chayle and Villie Morocho-Zurita}, doi = {https://doi.org/10.1111/tgis.12720}, isbn = {1361-1682}, year = {2021}, date = {2021-01-05}, journal = {Transactions in GIS}, volume = {25}, number = {4}, pages = {1784-1808}, abstract = {Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents a scoping review to indicate relevant literature pertinent to intelligent virtual assistants and their usage of geospatial information and technologies. In particular, the study was designed to find critical aspects of GIScience and how to contribute to the development of virtual assistants. Moreover, this work explores the most prominent research lines as well as relevant technologies/platforms to determine the main challenges and current limitations regarding the use and implementation of virtual assistants in geospatial-related fields. As a result, this review shows the current state of geospatial applications regarding the use of intelligent virtual assistants, as well as revealing gaps and limitations in the use of spatial methods, standards, and resources available in spatial data infrastructures to develop intelligent decision systems based on virtual assistants for a wide array of application domains.}, keywords = {data analysis methods, Geographic Information Systems (GIS), review, virtual assistants}, pubstate = {published}, tppubtype = {article} } Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents a scoping review to indicate relevant literature pertinent to intelligent virtual assistants and their usage of geospatial information and technologies. In particular, the study was designed to find critical aspects of GIScience and how to contribute to the development of virtual assistants. Moreover, this work explores the most prominent research lines as well as relevant technologies/platforms to determine the main challenges and current limitations regarding the use and implementation of virtual assistants in geospatial-related fields. As a result, this review shows the current state of geospatial applications regarding the use of intelligent virtual assistants, as well as revealing gaps and limitations in the use of spatial methods, standards, and resources available in spatial data infrastructures to develop intelligent decision systems based on virtual assistants for a wide array of application domains. |
Pajarito-Grajales, Diego; Maas, Suzanne; Attard, Maria; Gould, Michael Path of least resistance: using geo-games and crowdsourced data to map cycling frictions Book Chapter Skarlatidou, Artemis; one left behind., Muki Haklay (eds.) Geographic Citizen Science Design: No (Ed.): Chapter 8, pp. 165-185, UCL press, 2021, ISBN: 978-1-78735-614-6. Abstract | Links | BibTeX | Tags: crowdsourcing, GEO-C, geogames, urban mobility @inbook{Pajarito-Grajales2021, title = {Path of least resistance: using geo-games and crowdsourced data to map cycling frictions}, author = {Diego Pajarito-Grajales and Suzanne Maas and Maria Attard and Michael Gould}, editor = {Artemis Skarlatidou and Muki Haklay (eds.) Geographic Citizen Science Design: No one left behind. }, doi = {https://doi.org/10.14324/111.9781787356122 }, isbn = {978-1-78735-614-6}, year = {2021}, date = {2021-01-03}, pages = {165-185}, publisher = {UCL press}, chapter = {8}, abstract = {Urban cycling is an alternative mode of transport promoted by cities worldwide to reduce congestion and pollution and to increase citizens’ physical activity (Oldenziel et al. 2015). Cycling data, such as information about the cycling modal share, preferred routes and the main constraints or frictions faced during cycling, can be used as an evidence base for urban planning, cycling infrastructure design, cycling advocacy campaigns, promotion of alternative commuting and the assessment of impacts and benefits of cycling planning and promotion (Gossling 2018). The same data also have wider applicability in planning cycling policies, for instance to evaluate the impact of...}, keywords = {crowdsourcing, GEO-C, geogames, urban mobility}, pubstate = {published}, tppubtype = {inbook} } Urban cycling is an alternative mode of transport promoted by cities worldwide to reduce congestion and pollution and to increase citizens’ physical activity (Oldenziel et al. 2015). Cycling data, such as information about the cycling modal share, preferred routes and the main constraints or frictions faced during cycling, can be used as an evidence base for urban planning, cycling infrastructure design, cycling advocacy campaigns, promotion of alternative commuting and the assessment of impacts and benefits of cycling planning and promotion (Gossling 2018). The same data also have wider applicability in planning cycling policies, for instance to evaluate the impact of... |
2020 |
Akande, Adelouwa; Cabral, Pedro; Casteleyn, Sven Understanding the sharing economy and its implication on sustainability in smart cities Journal Article Journal of Cleaner Production, 277 , pp. 124077, 2020, ISBN: 0959-6526, (IF). Abstract | Links | BibTeX | Tags: GEO-C, Smart Cities @article{Akande2020b, title = {Understanding the sharing economy and its implication on sustainability in smart cities}, author = {Adelouwa Akande and Pedro Cabral and Sven Casteleyn }, doi = {https://doi.org/10.1016/j.jclepro.2020.124077 }, isbn = {0959-6526}, year = {2020}, date = {2020-12-30}, journal = {Journal of Cleaner Production}, volume = {277}, pages = {124077}, abstract = {The purpose of this article is to evaluate the main drivers of the sharing economy through an exhaustive weighting and meta-analysis of previous relevant quantitative research articles, obtained using a systematic literature review methodology. The authors analysed 22 quantitative studies from 2008 through. Out of the 249 extracted relationships (independent – dependent variable), the paper identifies the “best” predictors used in theoretical models to study the sharing economy. These include: attitude on intention to share, perceived behavioural control on intention to share, subjective norm on intention to share, economic benefit on attitude, and perceived risk on attitude. Geographically, Germany and the United States of America were found to be the nations with the highest number of respondents. Temporally, an increasing trend in the number of articles on the sharing economy and respondents was observed. The consolidation of the drivers of the sharing economy provides a solid theoretical foundation for the research community to explore existing hypotheses further and test new hypotheses in emerging contexts of the sharing economy. Given the different conceptual theories that have been used to study the sharing economy and their application to different contexts, this study presents the first attempt at advancing knowledge by quantitatively synthesizing findings presented in previous literature}, note = {IF}, keywords = {GEO-C, Smart Cities}, pubstate = {published}, tppubtype = {article} } The purpose of this article is to evaluate the main drivers of the sharing economy through an exhaustive weighting and meta-analysis of previous relevant quantitative research articles, obtained using a systematic literature review methodology. The authors analysed 22 quantitative studies from 2008 through. Out of the 249 extracted relationships (independent – dependent variable), the paper identifies the “best” predictors used in theoretical models to study the sharing economy. These include: attitude on intention to share, perceived behavioural control on intention to share, subjective norm on intention to share, economic benefit on attitude, and perceived risk on attitude. Geographically, Germany and the United States of America were found to be the nations with the highest number of respondents. Temporally, an increasing trend in the number of articles on the sharing economy and respondents was observed. The consolidation of the drivers of the sharing economy provides a solid theoretical foundation for the research community to explore existing hypotheses further and test new hypotheses in emerging contexts of the sharing economy. Given the different conceptual theories that have been used to study the sharing economy and their application to different contexts, this study presents the first attempt at advancing knowledge by quantitatively synthesizing findings presented in previous literature |
Klus, Roman; Klus, Lucie; Solomitckii, Dmitrii; Talvitie, Jukka; Valkama, Mikko Deep Learning-Based Cell-Level and Beam-Level Mobility Management System Journal Article Sensors, 20 (24), pp. 7124, 2020, ISSN: 1424-8220. Abstract | Links | BibTeX | Tags: A-wear, machine learning, urban mobility @article{Klus2020a, title = {Deep Learning-Based Cell-Level and Beam-Level Mobility Management System}, author = {Roman Klus and Lucie Klus and Dmitrii Solomitckii and Jukka Talvitie and Mikko Valkama}, doi = {https://doi.org/10.3390/s20247124}, issn = {1424-8220}, year = {2020}, date = {2020-12-11}, journal = {Sensors}, volume = {20}, number = {24}, pages = {7124}, abstract = {The deployment with beamforming-capable base stations in 5G New Radio (NR) requires an efficient mobility management system to reliably operate with minimum effort and interruption. In this work, we propose two artificial neural network models to optimize the cell-level and beam-level mobility management. Both models consist of convolutional, as well as dense, layer blocks. Based on current and past received power measurements, as well as positioning information, they choose the optimum serving cell and serving beam, respectively. The obtained results show that the proposed cell-level mobility model is able to sustain a strong serving cell and reduce the number of handovers by up to 94.4% compared to the benchmark solution when the uncertainty (representing shadowing, interference, etc.) is introduced to the received signal strength measurements. The proposed beam-level mobility management model is able to proactively choose and sustain the strongest serving beam, even when high uncertainty is introduced to the measurements.}, keywords = {A-wear, machine learning, urban mobility}, pubstate = {published}, tppubtype = {article} } The deployment with beamforming-capable base stations in 5G New Radio (NR) requires an efficient mobility management system to reliably operate with minimum effort and interruption. In this work, we propose two artificial neural network models to optimize the cell-level and beam-level mobility management. Both models consist of convolutional, as well as dense, layer blocks. Based on current and past received power measurements, as well as positioning information, they choose the optimum serving cell and serving beam, respectively. The obtained results show that the proposed cell-level mobility model is able to sustain a strong serving cell and reduce the number of handovers by up to 94.4% compared to the benchmark solution when the uncertainty (representing shadowing, interference, etc.) is introduced to the received signal strength measurements. The proposed beam-level mobility management model is able to proactively choose and sustain the strongest serving beam, even when high uncertainty is introduced to the measurements. |
Zaragozí, Benito; Trilles-Oliver, Sergio; Carrion, D; Albert, Pérez Y A geotagged image dataset with compass directions for studying the drivers of farmland abandonment Journal Article Data in brief, 33 , pp. 106340, 2020. Abstract | Links | BibTeX | Tags: Agriculture, Geographic Information Systems (GIS) @article{Zaragozí2020d, title = {A geotagged image dataset with compass directions for studying the drivers of farmland abandonment}, author = {Benito Zaragozí and Sergio Trilles-Oliver and D. Carrion and Y. Pérez Albert}, doi = {https://doi.org/10.1016/j.dib.2020.106340 }, year = {2020}, date = {2020-12-09}, journal = {Data in brief}, volume = {33}, pages = {106340}, abstract = {In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields of view (geoFOVs) that can be used to perform specific spatial queries. The dataset contains 2,235 pictures and GIS layers of geoFOVs contextualising the agricultural plots being photographed. The dataset is hosted in a Zenodo dataset repository.}, keywords = {Agriculture, Geographic Information Systems (GIS)}, pubstate = {published}, tppubtype = {article} } In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields of view (geoFOVs) that can be used to perform specific spatial queries. The dataset contains 2,235 pictures and GIS layers of geoFOVs contextualising the agricultural plots being photographed. The dataset is hosted in a Zenodo dataset repository. |
Trilles-Oliver, Sergio; Juan-Verdoy, Pablo; Díaz-Avalos, Carlos; Ribeiro, S; Painho, Marco Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture Journal Article Sensors, 20 (22), pp. 6597, 2020, ISSN: 1424-8220. Abstract | Links | BibTeX | Tags: Agriculture, crop monitoring, Sensor networks, Sensors @article{Trilles-Oliver2020f, title = {Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture}, author = {Sergio Trilles-Oliver and Pablo Juan-Verdoy and Carlos Díaz-Avalos and S. Ribeiro and Marco Painho}, doi = {https://doi.org/10.3390/s20226597 }, issn = {1424-8220}, year = {2020}, date = {2020-12-02}, journal = {Sensors}, volume = {20}, number = {22}, pages = {6597}, abstract = {Temperature, humidity and precipitation have a strong influence on the generation of diseases in different crops, especially in vine. In recent years, advances in different disciplines have enabled the deployment of sensor nodes on agricultural plots. These sensors are characterised by a low cost and so the reliability of the data obtained from them can be compromised, as they are built from low-confidence components. In this research, two studies were carried out to determine the reliability of the data obtained by different SEnviro nodes installed in vineyards. Two networks of meteorological stations were used to carry out these studies, one official and the other professional. The first study was based on calculating the homogenisation of the data, which was performed using the Climatol tool. The second study proposed a similarity analysis using cross-correlation. The results showed that the low-cost node can be used to monitor climatic conditions in an agricultural area in the central zone of the province of Castelló (Spain) and to obtain reliable observations for use in previously published fungal disease models.}, keywords = {Agriculture, crop monitoring, Sensor networks, Sensors}, pubstate = {published}, tppubtype = {article} } Temperature, humidity and precipitation have a strong influence on the generation of diseases in different crops, especially in vine. In recent years, advances in different disciplines have enabled the deployment of sensor nodes on agricultural plots. These sensors are characterised by a low cost and so the reliability of the data obtained from them can be compromised, as they are built from low-confidence components. In this research, two studies were carried out to determine the reliability of the data obtained by different SEnviro nodes installed in vineyards. Two networks of meteorological stations were used to carry out these studies, one official and the other professional. The first study was based on calculating the homogenisation of the data, which was performed using the Climatol tool. The second study proposed a similarity analysis using cross-correlation. The results showed that the low-cost node can be used to monitor climatic conditions in an agricultural area in the central zone of the province of Castelló (Spain) and to obtain reliable observations for use in previously published fungal disease models. |
Marsh-Huhn, Daniel; Trilles-Oliver, Sergio; González-Pérez, Alberto; Ramos-Romero, Francisco A comparative study in the standardisation of IoT devices using geospatial web standards Journal Article IEEE Sensors, 21 (4), pp. 5512-5528, 2020. Abstract | Links | BibTeX | Tags: API, Internet of things, Mastergeotech, Sensors @article{Marsh-Huhn2020, title = {A comparative study in the standardisation of IoT devices using geospatial web standards}, author = {Daniel Marsh-Huhn and Sergio Trilles-Oliver and Alberto González-Pérez and Francisco Ramos-Romero}, doi = {https://doi.org/10.1109/JSEN.2020.3031315}, year = {2020}, date = {2020-12-01}, journal = {IEEE Sensors}, volume = {21}, number = {4}, pages = {5512-5528}, abstract = {Although billions of devices are embedded in the World Wide Web through the Internet of Things, there is still a lack of a common, interoperable way to connect them and make them interact seamlessly. IoT has also found its way into the spatial web. Environmental monitoring and sensing platforms connected over the web by wireless sensor networks are now a common way to monitor natural phenomena. This study compares two open Web Standards ( OGC’s Sensor Observation Service and SensorThings API ) from the geospatial point of view. An IoT platform, called SEnviro , is used to integrate and evaluate implementations for each standard and contrast their qualitative and quantitative traits. The results of the study show that the SensorThings API proves to be the adequate Web Standard for IoT applications in terms of interoperability. It outperforms the contesting Web Standard in terms of flexibility and scalability, which strongly impacts on developer and user experience. }, keywords = {API, Internet of things, Mastergeotech, Sensors}, pubstate = {published}, tppubtype = {article} } Although billions of devices are embedded in the World Wide Web through the Internet of Things, there is still a lack of a common, interoperable way to connect them and make them interact seamlessly. IoT has also found its way into the spatial web. Environmental monitoring and sensing platforms connected over the web by wireless sensor networks are now a common way to monitor natural phenomena. This study compares two open Web Standards ( OGC’s Sensor Observation Service and SensorThings API ) from the geospatial point of view. An IoT platform, called SEnviro , is used to integrate and evaluate implementations for each standard and contrast their qualitative and quantitative traits. The results of the study show that the SensorThings API proves to be the adequate Web Standard for IoT applications in terms of interoperability. It outperforms the contesting Web Standard in terms of flexibility and scalability, which strongly impacts on developer and user experience. |
Nüst, Daniel; Ostermann, Frank; Granell-Canut, Carlos; Kmoch, Alexander The 15th Munin Conference on Scholarly Publishing 2020, organized online by UiT The Arctic University of Norway, November 17–19, 2020, 2020, ISSN: 2387-3086. Links | BibTeX | Tags: Reproducible research @conference{Nüst2020, title = {Improving reproducibility of geospatial conference papers - lessons learned from a first implementation of reproducibility reviews}, author = {Daniel Nüst and Frank Ostermann and Carlos Granell-Canut and Alexander Kmoch}, doi = {10.7557/5.5601}, issn = {2387-3086}, year = {2020}, date = {2020-11-17}, booktitle = {The 15th Munin Conference on Scholarly Publishing 2020, organized online by UiT The Arctic University of Norway, November 17–19, 2020}, keywords = {Reproducible research}, pubstate = {published}, tppubtype = {conference} } |
Chukhno, Olga; Chukhno, Nadezhda; Araniti, Giuseppe; Campolo, Claudia; Iera, Antonio; Molinaro, Antonella Optimal Placement of Social Digital Twins in Edge IoT Networks Journal Article Sensors, 20 (21), pp. 6181, 2020, ISSN: 1424-8220. Abstract | Links | BibTeX | Tags: A-wear, digital twin, Internet of things @article{Chukhno2020a, title = {Optimal Placement of Social Digital Twins in Edge IoT Networks}, author = {Olga Chukhno and Nadezhda Chukhno and Giuseppe Araniti and Claudia Campolo and Antonio Iera and Antonella Molinaro}, doi = {https://doi.org/10.3390/s20216181}, issn = {1424-8220}, year = {2020}, date = {2020-10-30}, journal = {Sensors}, volume = {20}, number = {21}, pages = {6181}, abstract = {In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object’s capabilities and acting on its behalf when interacting with third parties. Moreover, such objects can be able to interact and autonomously establish social relationships according to the Social Internet of Things (SIoT) paradigm. In such a context, the goal of this work is to provide an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge, with the twofold aim of reducing the latency (i) between physical devices and corresponding DTs for efficient data exchange, and (ii) among DTs of friend devices to speed-up the service discovery and chaining procedures across the SIoT network. To this aim, we formulate the problem as a mixed-integer linear programming model taking into account limited computing resources in the edge cloud and social relationships among IoT devices.}, keywords = {A-wear, digital twin, Internet of things}, pubstate = {published}, tppubtype = {article} } In next-generation Internet of Things (IoT) deployments, every object such as a wearable device, a smartphone, a vehicle, and even a sensor or an actuator will be provided with a digital counterpart (twin) with the aim of augmenting the physical object’s capabilities and acting on its behalf when interacting with third parties. Moreover, such objects can be able to interact and autonomously establish social relationships according to the Social Internet of Things (SIoT) paradigm. In such a context, the goal of this work is to provide an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge, with the twofold aim of reducing the latency (i) between physical devices and corresponding DTs for efficient data exchange, and (ii) among DTs of friend devices to speed-up the service discovery and chaining procedures across the SIoT network. To this aim, we formulate the problem as a mixed-integer linear programming model taking into account limited computing resources in the edge cloud and social relationships among IoT devices. |
Jagaille, Marie; Stéphenne, Nathalie; Aguilar-Moreno, Estefanía; Fiore, Grazia; Riedler, Barbara; Monfort-Muriach, Aida; Antoniou, Natassa Women in Copernicus: Global analysis of the survey Technical Report 2020. Links | BibTeX | Tags: copernicus, gender, projects, Women in Copernicus @techreport{Jagaille2020, title = {Women in Copernicus: Global analysis of the survey}, author = {Marie Jagaille and Nathalie Stéphenne and Estefanía Aguilar-Moreno and Grazia Fiore and Barbara Riedler and Aida Monfort-Muriach and Natassa Antoniou}, doi = {10.5281/zenodo.4302077}, year = {2020}, date = {2020-10-30}, keywords = {copernicus, gender, projects, Women in Copernicus}, pubstate = {published}, tppubtype = {techreport} } |
Chukhno, Nadezhda; Chukhno, Olga; Araniti, Giuseppe; Iera, Antonio; Molinaro, Antonella; Pizzi, Sara Challenges and Performance Evaluation of Multicast Transmission in 60 GHz mmWave Inproceedings Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2020., pp. 3-17, Springer, Cham, 2020, ISBN: 978-3-030-66241-7. Abstract | Links | BibTeX | Tags: A-wear @inproceedings{Chukhno2020b, title = {Challenges and Performance Evaluation of Multicast Transmission in 60 GHz mmWave}, author = {Nadezhda Chukhno and Olga Chukhno and Giuseppe Araniti and Antonio Iera and Antonella Molinaro and Sara Pizzi}, doi = {https://doi.org/10.1007/978-3-030-66242-4_1}, isbn = {978-3-030-66241-7}, year = {2020}, date = {2020-09-30}, booktitle = {Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2020.}, volume = {1337}, pages = {3-17}, publisher = {Springer, Cham}, abstract = {Recently, millimeter-wave (mmWave) technology has attracted significant attention due to its ambitious promise to deal with the rapid growth in wireless data traffic. Moreover, mmWave is expected to constitute a foundation for the fifth-generation (5G) communication systems’ services, claimed to efficiently and effectively support both unicast and multicast transmission modes. However, the use of highly directional antennas at both user and access point sides is required to compensate for the severe path loss, high attenuation, and atmospheric absorption at extremely high-frequency bands, e.g., mmWave. Hence, multicast transmission needs special attention in directional systems due to the nature of group-oriented services, wherein a single beam simultaneously feeds receivers located at different positions. Since the widest possible beams at 60 GHz band are limited in terms of range and data rate and cannot serve all users, and, inversely, the use of only fine beams steered toward each user in unicast fashion requires long data transmission duration, the design of efficient directional multicast schemes is of utmost importance. Further, a slight beam misalignment due to mobility can generate a significant signal drop even between devices communicating in unicast fashions. The mission of this paper is to discuss the main challenges that must be faced to take advantage of mmWave communication for multicast data delivery. To this end, we investigate the performance of such systems in terms of data rate and data transmission duration via simulations considering both static and dynamic scenarios.}, keywords = {A-wear}, pubstate = {published}, tppubtype = {inproceedings} } Recently, millimeter-wave (mmWave) technology has attracted significant attention due to its ambitious promise to deal with the rapid growth in wireless data traffic. Moreover, mmWave is expected to constitute a foundation for the fifth-generation (5G) communication systems’ services, claimed to efficiently and effectively support both unicast and multicast transmission modes. However, the use of highly directional antennas at both user and access point sides is required to compensate for the severe path loss, high attenuation, and atmospheric absorption at extremely high-frequency bands, e.g., mmWave. Hence, multicast transmission needs special attention in directional systems due to the nature of group-oriented services, wherein a single beam simultaneously feeds receivers located at different positions. Since the widest possible beams at 60 GHz band are limited in terms of range and data rate and cannot serve all users, and, inversely, the use of only fine beams steered toward each user in unicast fashion requires long data transmission duration, the design of efficient directional multicast schemes is of utmost importance. Further, a slight beam misalignment due to mobility can generate a significant signal drop even between devices communicating in unicast fashions. The mission of this paper is to discuss the main challenges that must be faced to take advantage of mmWave communication for multicast data delivery. To this end, we investigate the performance of such systems in terms of data rate and data transmission duration via simulations considering both static and dynamic scenarios. |
Shubina, Viktoriia; Holcer, Sylvia; Gould, Michael; Lohan, Elena Simona Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era Journal Article Data, 5 (4), pp. 87, 2020, ISSN: 2306-5729. Abstract | Links | BibTeX | Tags: A-wear, Internet of things, wearables @article{Subina2020a, title = {Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era}, author = {Viktoriia Shubina and Sylvia Holcer and Michael Gould and Elena Simona Lohan}, doi = {https://doi.org/10.3390/data5040087}, issn = {2306-5729}, year = {2020}, date = {2020-09-23}, journal = {Data}, volume = {5}, number = {4}, pages = {87}, abstract = {Some of the recent developments in data science for worldwide disease control have involved research of large-scale feasibility and usefulness of digital contact tracing, user location tracking, and proximity detection on users’ mobile devices or wearables. A centralized solution relying on collecting and storing user traces and location information on a central server can provide more accurate and timely actions than a decentralized solution in combating viral outbreaks, such as COVID-19. However, centralized solutions are more prone to privacy breaches and privacy attacks by malevolent third parties than decentralized solutions, storing the information in a distributed manner among wireless networks. Thus, it is of timely relevance to identify and summarize the existing privacy-preserving solutions, focusing on decentralized methods, and analyzing them in the context of mobile device-based localization and tracking, contact tracing, and proximity detection. Wearables and other mobile Internet of Things devices are of particular interest in our study, as not only privacy, but also energy-efficiency, targets are becoming more and more critical to the end-users. This paper provides a comprehensive survey of user location-tracking, proximity-detection, and digital contact-tracing solutions in the literature from the past two decades, analyses their advantages and drawbacks concerning centralized and decentralized solutions, and presents the authors’ thoughts on future research directions in this timely research field.}, keywords = {A-wear, Internet of things, wearables}, pubstate = {published}, tppubtype = {article} } Some of the recent developments in data science for worldwide disease control have involved research of large-scale feasibility and usefulness of digital contact tracing, user location tracking, and proximity detection on users’ mobile devices or wearables. A centralized solution relying on collecting and storing user traces and location information on a central server can provide more accurate and timely actions than a decentralized solution in combating viral outbreaks, such as COVID-19. However, centralized solutions are more prone to privacy breaches and privacy attacks by malevolent third parties than decentralized solutions, storing the information in a distributed manner among wireless networks. Thus, it is of timely relevance to identify and summarize the existing privacy-preserving solutions, focusing on decentralized methods, and analyzing them in the context of mobile device-based localization and tracking, contact tracing, and proximity detection. Wearables and other mobile Internet of Things devices are of particular interest in our study, as not only privacy, but also energy-efficiency, targets are becoming more and more critical to the end-users. This paper provides a comprehensive survey of user location-tracking, proximity-detection, and digital contact-tracing solutions in the literature from the past two decades, analyses their advantages and drawbacks concerning centralized and decentralized solutions, and presents the authors’ thoughts on future research directions in this timely research field. |
Quezada-Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Simona Elena; Nurmi, Jari; Huerta-Guijarro, Joaquín Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices Inproceedings Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 5-8 October 2020. Online event, pp. 208-213, 2020, ISBN: 978-1-7281-9281-9. Links | BibTeX | Tags: A-wear, Indoor positioning, Internet of things, wearables, Wi-Fi mapping @inproceedings{Quezada-Gaibor2020, title = {Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices}, author = {Darwin Quezada-Gaibor and Lucie Klus and Joaquín Torres-Sospedra and Simona Elena Lohan and Jari Nurmi and Joaquín Huerta-Guijarro}, doi = {http://www.doi.org/10.1109/ICUMT51630.2020.9222411}, isbn = {978-1-7281-9281-9}, year = {2020}, date = {2020-09-17}, booktitle = {Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 5-8 October 2020. Online event}, pages = {208-213}, keywords = {A-wear, Indoor positioning, Internet of things, wearables, Wi-Fi mapping}, pubstate = {published}, tppubtype = {inproceedings} } |
Klus, Lucie; Quezada-Gaibor, Darwin; Torres-Sospedra, Joaquín; Lohan, Simona Elena; Granell-Canut, Carlos; Nurmi, Jari RSS Fingerprinting dataset size reduction using feature-wise adaptive k-means clustering. Inproceedings Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 5-8 October 2020. Online event,, pp. 195-200, 2020, ISBN: 978-1-7281-9281-9, (best paper ward). Links | BibTeX | Tags: A-wear, Wi-Fi fingerprint @inproceedings{Klus2020, title = {RSS Fingerprinting dataset size reduction using feature-wise adaptive k-means clustering.}, author = {Lucie Klus and Darwin Quezada-Gaibor and Joaquín Torres-Sospedra and Simona Elena Lohan and Carlos Granell-Canut and Jari Nurmi}, doi = { http://www.doi.org/10.1109/ICUMT51630.2020.9222411}, isbn = {978-1-7281-9281-9}, year = {2020}, date = {2020-09-17}, booktitle = {Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 5-8 October 2020. Online event,}, pages = {195-200}, note = {best paper ward}, keywords = {A-wear, Wi-Fi fingerprint}, pubstate = {published}, tppubtype = {inproceedings} } |
Potortì, Francesco; Park, Sangjoon; Crivello, Antonino; Palumbo, Filippo; Girolami, Michele; Barsocchi, Paolo; Lee, Soyeon; Torres-Sospedra, Joaquín; Jimenez, Antonio Ramón; Pérez-Navarro, Antoni; Mendoza-Silva, Germán Martin; Seco, Fernando; Ortiz, Miguel; Perul, Johan; Renaudin, Valerie; Kang, Hyunwoong; Park, Soyoung; Lee, Jae Hong; Park, Chan Gook; Ha, Jisu; Han, Jaeseung; Park, Changjun; Kim, Keunhye; Lee, Yonghyun; Gye, Seunghun; Lee, Keumryeol; Kim, Eunjee; Choi, Jeongsik; Choi, Yang-Seok; Talwar, Shilpa; Cho, Seong Yun; Ben-Moshe, Boaz; Scherbakov, Alex; Antsfeld, Leonid; Sansano-Sansano, Emilio; Chidlovskii, Boris; Kronenwett, Nikolai; Prophet, Silvia; Landau, Yael; Marbel, Revital; Zheng, Lingxiang; Peng, Ao; Lin, Zhichao; Wu, Bang; Ma, Chengqi; Poslad, Stefan; Selviah, David R; Wu, Wei; Ma, Zixiang; Zhang, Wenchao; Wei, Dongyan; Yuan, Hong; Jiang, Jun-Bang; Huang, Shao-Yung; Liu, Jing-Wen; Su, Kuan-Wu; Leu, Jenq-Shiou; Nishiguchi, Kazuki; Bousselham, Walid; Uchiyama, Hideaki; Thomas, Diego; Shimada, Atsushi; Taniguchi, Rin-Ichiro; Cortés, Vicente; Lungenstrass, Tomás; Ashraf, Imran; Lee, Chanseok; Ali, Muhammad Usman; Im, Yeongjun; Kim, Gunzung; Eom, Jeongsook; Hur, Soojung; Park, Yongwan; Opiela, Miroslav; Moreira, Adriano; Nicolau, Maria João; Pendão, Cristiano; Silva, Ivo; Meneses, Filipe; Costa, António; Trogh, Jens; Plets, David; Chien, Ying-Ren; Chang, Tzu-Yu; Fang, Shih-Hau; Tsao, Yu The IPIN 2019 Indoor Localisation Competition: Description and Results Journal Article IEEE Access, 8 , pp. 206674-20671, 2020, ISSN: 2169-3536. Abstract | Links | BibTeX | Tags: Indoor positioning @article{Potortì2020, title = {The IPIN 2019 Indoor Localisation Competition: Description and Results}, author = {Francesco Potortì and Sangjoon Park and Antonino Crivello and Filippo Palumbo and Michele Girolami and Paolo Barsocchi and Soyeon Lee and Joaquín Torres-Sospedra and Antonio Ramón Jimenez and Antoni Pérez-Navarro and Germán Martin Mendoza-Silva and Fernando Seco and Miguel Ortiz and Johan Perul and Valerie Renaudin and Hyunwoong Kang and Soyoung Park and Jae Hong Lee and Chan Gook Park and Jisu Ha and Jaeseung Han and Changjun Park and Keunhye Kim and Yonghyun Lee and Seunghun Gye and Keumryeol Lee and Eunjee Kim and Jeongsik Choi and Yang-Seok Choi and Shilpa Talwar and Seong Yun Cho and Boaz Ben-Moshe and Alex Scherbakov and Leonid Antsfeld and Emilio Sansano-Sansano and Boris Chidlovskii and Nikolai Kronenwett and Silvia Prophet and Yael Landau and Revital Marbel and Lingxiang Zheng and Ao Peng and Zhichao Lin and Bang Wu and Chengqi Ma and Stefan Poslad and David R. Selviah and Wei Wu and Zixiang Ma and Wenchao Zhang and Dongyan Wei and Hong Yuan and Jun-Bang Jiang and Shao-Yung Huang and Jing-Wen Liu and Kuan-Wu Su and Jenq-Shiou Leu and Kazuki Nishiguchi and Walid Bousselham and Hideaki Uchiyama and Diego Thomas and Atsushi Shimada and Rin-Ichiro Taniguchi and Vicente Cortés and Tomás Lungenstrass and Imran Ashraf and Chanseok Lee and Muhammad Usman Ali and Yeongjun Im and Gunzung Kim and Jeongsook Eom and Soojung Hur and Yongwan Park and Miroslav Opiela and Adriano Moreira and Maria João Nicolau and Cristiano Pendão and Ivo Silva and Filipe Meneses and António Costa and Jens Trogh and David Plets and Ying-Ren Chien and Tzu-Yu Chang and Shih-Hau Fang and Yu Tsao}, doi = {10.1109/ACCESS.2020.3037221}, issn = {2169-3536}, year = {2020}, date = {2020-09-01}, journal = {IEEE Access}, volume = {8}, pages = {206674-20671}, abstract = {IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m 2 outdoors and and 6000 m 2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks. }, keywords = {Indoor positioning}, pubstate = {published}, tppubtype = {article} } IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m 2 outdoors and and 6000 m 2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks. |
Stelmaszczuk-Górska, Martyna; Aguilar-Moreno, Estefanía; Casteleyn, Sven; Vandenbroucke, Danny; Miguel-Lago, Mónica; Dubois, Clemence; Lemmens, Rob; Vancauwenberghe, Glenn; Olijslagers, Marc; Lang, Stefan; Belgiu, Florian Albrecht Mariana; Krieger, Veronika; Soja, Therese Jagdhuberand Anka Fluhrerand M J; Mouratidis, Antonios; Persson, H J; Colombo, R; Masiello, Guido Body of knowledge for the Earth Observation and Geoinformation sector: a basis for innovative skills development Journal Article International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B5-2020 , pp. 15-22, 2020. Links | BibTeX | Tags: Body of Knowledge, education, EO4GEO @article{Stelmaszczuk-Górska2020, title = {Body of knowledge for the Earth Observation and Geoinformation sector: a basis for innovative skills development}, author = {Martyna Stelmaszczuk-Górska and Estefanía Aguilar-Moreno and Sven Casteleyn and Danny Vandenbroucke and Mónica Miguel-Lago and Clemence Dubois and Rob Lemmens and Glenn Vancauwenberghe and Marc Olijslagers and Stefan Lang and Florian Albrecht Mariana Belgiu and Veronika Krieger and Therese Jagdhuberand Anka Fluhrerand M.J. Soja and Antonios Mouratidis and H.J. Persson and R. Colombo and Guido Masiello}, doi = {https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-15-2020}, year = {2020}, date = {2020-08-27}, journal = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLIII-B5-2020}, pages = {15-22}, keywords = {Body of Knowledge, education, EO4GEO}, pubstate = {published}, tppubtype = {article} } |
Khandker, S; Torres-Sospedra, Joaquín; Ristaniemi, T Analysis of Received Signal Strength Quantization in Fingerprinting Localization Journal Article Sensors, 20 (3203), 2020, ISSN: 1424-8220. Abstract | Links | BibTeX | Tags: Indoor positioning, Wi-Fi fingerprint @article{Khandker2020, title = {Analysis of Received Signal Strength Quantization in Fingerprinting Localization}, author = {S. Khandker and Joaquín Torres-Sospedra and T. Ristaniemi}, doi = {https://doi.org/10.3390/s20113203}, issn = {1424-8220}, year = {2020}, date = {2020-07-09}, journal = {Sensors}, volume = {20}, number = {3203}, abstract = {In recent times, Received Signal Strength (RSS)-based Wi-Fi fingerprinting localization has become one of the most promising techniques for indoor localization. The primary aim of RSS is to check the quality of the signal to determine the coverage and the quality of service. Therefore, fine-resolution RSS is needed, which is generally expressed by 1-dBm granularity. However, we found that, for fingerprinting localization, fine-granular RSS is unnecessary. A coarse-granular RSS can yield the same positioning accuracy. In this paper, we propose quantization for only the effective portion of the signal strength for fingerprinting localization. We found that, if a quantized RSS fingerprint can carry the major characteristics of a radio environment, it is sufficient for localization. Five publicly open fingerprinting databases with four different quantization strategies were used to evaluate the study. The proposed method can help to simplify the hardware configuration, enhance security, and save approximately 40–60% storage space and data traffic}, keywords = {Indoor positioning, Wi-Fi fingerprint}, pubstate = {published}, tppubtype = {article} } In recent times, Received Signal Strength (RSS)-based Wi-Fi fingerprinting localization has become one of the most promising techniques for indoor localization. The primary aim of RSS is to check the quality of the signal to determine the coverage and the quality of service. Therefore, fine-resolution RSS is needed, which is generally expressed by 1-dBm granularity. However, we found that, for fingerprinting localization, fine-granular RSS is unnecessary. A coarse-granular RSS can yield the same positioning accuracy. In this paper, we propose quantization for only the effective portion of the signal strength for fingerprinting localization. We found that, if a quantized RSS fingerprint can carry the major characteristics of a radio environment, it is sufficient for localization. Five publicly open fingerprinting databases with four different quantization strategies were used to evaluate the study. The proposed method can help to simplify the hardware configuration, enhance security, and save approximately 40–60% storage space and data traffic |
Trilles-Oliver, Sergio; Tortosa, David; Granell-Canut, Carlos La evolución del proyecto Sucre4Kids mediante el paradigma del Internet de las Cosas Inproceedings Actas de las Jornadas sobre Enseñanza Universitaria de la Informática (JENUI) Valencia, Spain, Jul 2020, pp. 53-60, 2020, ISSN: 2531-0607. Abstract | BibTeX | Tags: education, Internet of things, RyC-Granell, SUCRE, sucre4kids, sucre4stem @inproceedings{Trilles-Oliver2020d, title = {La evolución del proyecto Sucre4Kids mediante el paradigma del Internet de las Cosas}, author = {Sergio Trilles-Oliver and David Tortosa and Carlos Granell-Canut}, issn = {2531-0607}, year = {2020}, date = {2020-07-09}, booktitle = {Actas de las Jornadas sobre Enseñanza Universitaria de la Informática (JENUI) Valencia, Spain, Jul 2020}, volume = {5}, pages = {53-60}, abstract = {Esta comunicación presenta la evolución tecnológica del proyecto Sucre4Kids, que tiene como objetivo el fomento de las vocaciones científicas, la promoción del pensamiento computacional y la programación en estudiantes preuniversitarios. Tras cuatro años de experiencia contrastada en aulas, se ha redefinido todo el ecosistema del proyecto desde la perspectiva del Internet de las Cosas. En el plano tecnológico, Sucre4Kids propone dos herramientas bien diferenciadas: Sucre-Core y SucreCode. La primera adopta un nuevo diseño más compacto, encapsulando un microcontrolador más avanzado, con soporte para conectividad inalámbrica, y con la capacidad de crear redes en malla. SucreCode, la herramienta de programación visual por bloques, tiene una interfaz renovada y permite actualizaciones sin cables en un SucreCore. En el plano pedagógico, las nuevas características tecnológicas abren la puerta a nuevos tipos de dinámicas y proyectos colaborativos entre grupos de estudiantes. Este mayor grado de interactividad y comunicación, que representaba una limitación en la anterior versión de Sucre4Kids, augura un interés creciente de los estudiantes, tal como hemos observado en las primeras intervenciones en aula.}, keywords = {education, Internet of things, RyC-Granell, SUCRE, sucre4kids, sucre4stem}, pubstate = {published}, tppubtype = {inproceedings} } Esta comunicación presenta la evolución tecnológica del proyecto Sucre4Kids, que tiene como objetivo el fomento de las vocaciones científicas, la promoción del pensamiento computacional y la programación en estudiantes preuniversitarios. Tras cuatro años de experiencia contrastada en aulas, se ha redefinido todo el ecosistema del proyecto desde la perspectiva del Internet de las Cosas. En el plano tecnológico, Sucre4Kids propone dos herramientas bien diferenciadas: Sucre-Core y SucreCode. La primera adopta un nuevo diseño más compacto, encapsulando un microcontrolador más avanzado, con soporte para conectividad inalámbrica, y con la capacidad de crear redes en malla. SucreCode, la herramienta de programación visual por bloques, tiene una interfaz renovada y permite actualizaciones sin cables en un SucreCore. En el plano pedagógico, las nuevas características tecnológicas abren la puerta a nuevos tipos de dinámicas y proyectos colaborativos entre grupos de estudiantes. Este mayor grado de interactividad y comunicación, que representaba una limitación en la anterior versión de Sucre4Kids, augura un interés creciente de los estudiantes, tal como hemos observado en las primeras intervenciones en aula. |
Torres-Sospedra, Joaquín; Quezada-Gaibor, Darwin; Mendoza-Silva, Germán Martín; Nurmi, Jari; Koucheryavy, Yevgeni; Huerta-Guijarro, Joaquín New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting Inproceedings 2020 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2020, pp. 1-6, IEEE, 2020, ISBN: 978-1-7281-6455-7. Abstract | Links | BibTeX | Tags: A-wear, Indoor positioning, Wi-Fi fingerprint @inproceedings{Torres-Sospedra2020, title = {New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting}, author = {Joaquín Torres-Sospedra and Darwin Quezada-Gaibor and Germán Martín Mendoza-Silva and Jari Nurmi and Yevgeni Koucheryavy and Joaquín Huerta-Guijarro}, doi = {http://www.doi.org/10.1109/ICL-GNSS49876.2020.9115419 }, isbn = {978-1-7281-6455-7}, year = {2020}, date = {2020-07-02}, booktitle = {2020 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2020}, pages = {1-6}, publisher = {IEEE}, abstract = {Wi-Fi fingerprinting is a popular technique for Indoor Positioning Systems (IPSs) thanks to its low complexity and the ubiquity of WLAN infrastructures. However, this technique may present scalability issues when the reference dataset (radio map) is very large. To reduce the computational costs, k-Means Clustering has been successfully applied in the past. However, it is a general-purpose algorithm for unsupervised classification. This paper introduces three variants that apply heuristics based on radio propagation knowledge in the coarse and fine-grained searches. Due to the heterogeneity either in the IPS side (including radio map generation) and in the network infrastructure, we used an evaluation framework composed of 16 datasets. In terms of general positioning accuracy and computational costs, the best proposed k-means variant provided better general positioning accuracy and a significantly better computational cost –around 40% lower– than the original k-means.}, keywords = {A-wear, Indoor positioning, Wi-Fi fingerprint}, pubstate = {published}, tppubtype = {inproceedings} } Wi-Fi fingerprinting is a popular technique for Indoor Positioning Systems (IPSs) thanks to its low complexity and the ubiquity of WLAN infrastructures. However, this technique may present scalability issues when the reference dataset (radio map) is very large. To reduce the computational costs, k-Means Clustering has been successfully applied in the past. However, it is a general-purpose algorithm for unsupervised classification. This paper introduces three variants that apply heuristics based on radio propagation knowledge in the coarse and fine-grained searches. Due to the heterogeneity either in the IPS side (including radio map generation) and in the network infrastructure, we used an evaluation framework composed of 16 datasets. In terms of general positioning accuracy and computational costs, the best proposed k-means variant provided better general positioning accuracy and a significantly better computational cost –around 40% lower– than the original k-means. |
Holcer, Sylvia; Torres-Sospedra, Joaquín; Gould, Michael; Remolar, Inmaculada Privacy in Indoor Positioning Systems:a systematic review Inproceedings 2020 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2020, pp. 1-6, IEEE 2020, ISBN: 978-1-7281-6455-7. Abstract | Links | BibTeX | Tags: A-wear, geoprivacy @inproceedings{Holcer2020, title = {Privacy in Indoor Positioning Systems:a systematic review}, author = {Sylvia Holcer and Joaquín Torres-Sospedra and Michael Gould and Inmaculada Remolar}, doi = {http://www.doi.org/10.1109/ICL-GNSS49876.2020.9115496 }, isbn = {978-1-7281-6455-7}, year = {2020}, date = {2020-06-25}, booktitle = {2020 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2020}, pages = {1-6}, organization = {IEEE}, abstract = {This article proposes a systematic review of privacy in indoor positioning systems. The selected 41 articles on location privacy preserving mechanisms employ non-inherently private methods such as encryption, k-anonymity, and differential privacy. The 15 identified mechanisms are categorized and summarized by where they are processed: on device, during transmission, or at a server. Trade-offs such as calculation speed, granularity, or complexity in set-up are identified for each mechanism. In 40% of the papers, some trade-offs are minimized by combining several methods into a hybrid solution. The combinations of mechanisms and their levels of offered privacy are suggested based on estimated user mobility cases}, keywords = {A-wear, geoprivacy}, pubstate = {published}, tppubtype = {inproceedings} } This article proposes a systematic review of privacy in indoor positioning systems. The selected 41 articles on location privacy preserving mechanisms employ non-inherently private methods such as encryption, k-anonymity, and differential privacy. The 15 identified mechanisms are categorized and summarized by where they are processed: on device, during transmission, or at a server. Trade-offs such as calculation speed, granularity, or complexity in set-up are identified for each mechanism. In 40% of the papers, some trade-offs are minimized by combining several methods into a hybrid solution. The combinations of mechanisms and their levels of offered privacy are suggested based on estimated user mobility cases |
Karmacharya, Amrit; Mendoza-Silva, German Martín; Torres-Sospedra, Joaquín Sensor Fusion and Well Condition Triangle Approach for BLE-based Indoor Positioning Inproceedings Ometov, A; Nurmi, Jaarmi; Lohan, Elena Simona; Torres-Sospedra, Joaquín; (Eds), Kuusniemi H (Ed.): Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020, CEUR, 2020, ISSN: 1613-0073 . Abstract | Links | BibTeX | Tags: Indoor positioning, Mastergeotech @inproceedings{Karmacharya2020b, title = {Sensor Fusion and Well Condition Triangle Approach for BLE-based Indoor Positioning}, author = {Amrit Karmacharya and German Martín Mendoza-Silva and Joaquín Torres-Sospedra }, editor = {A. Ometov and Jaarmi Nurmi and Elena Simona Lohan and Joaquín Torres-Sospedra and H. Kuusniemi (Eds)}, url = {http://ceur-ws.org/Vol-2626/paper6.pdf }, issn = {1613-0073 }, year = {2020}, date = {2020-06-15}, booktitle = {Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020}, volume = {2626}, publisher = {CEUR}, abstract = {GPS has been a de-facto standard for outdoor positioning. For indoor positioning different systems exist. But there is no general solution to fit all situations. A popular choice among service provider is Bluetooth Low Energy (BLE) based Indoor Positioning System (IPS) . BLE has low cost, low power consumption, and it is compatible with newer smartphones. This paper introduces two ways for accuracy improvement i) a new algorithm for BLE-based IPS based on well-condition triangle and ii) fusion of BLE position estimates with IMU position estimates was implemented. Fusion generally gives better results but a noteworthy result from fusion was that the position estimates during turns were accurate. When used separately, both BLE and IMU estimates showed errors in turns. Fusion with IMU improved the accuracy of BLE based positioning.}, keywords = {Indoor positioning, Mastergeotech}, pubstate = {published}, tppubtype = {inproceedings} } GPS has been a de-facto standard for outdoor positioning. For indoor positioning different systems exist. But there is no general solution to fit all situations. A popular choice among service provider is Bluetooth Low Energy (BLE) based Indoor Positioning System (IPS) . BLE has low cost, low power consumption, and it is compatible with newer smartphones. This paper introduces two ways for accuracy improvement i) a new algorithm for BLE-based IPS based on well-condition triangle and ii) fusion of BLE position estimates with IMU position estimates was implemented. Fusion generally gives better results but a noteworthy result from fusion was that the position estimates during turns were accurate. When used separately, both BLE and IMU estimates showed errors in turns. Fusion with IMU improved the accuracy of BLE based positioning. |
Qafisheh, Mutaz Wajeh Abdlamajud; Furones, Angel Martín; Torres-Sospedra, Joaquín Support Vector Regression Machine Learning Tool to Predict GNSS Clock Corrections in Real-Time PPP Technique Inproceedings Ometov, A; Nurmi, Jaarmi; Lohan, Elena Simona; Joaquín Torres-Sospedra, Kuusniemi (Eds) H (Ed.): Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020, 2020, ISSN: 1613-0073 . Abstract | Links | BibTeX | Tags: Mastergeotech @inproceedings{Qafisheh2020b, title = {Support Vector Regression Machine Learning Tool to Predict GNSS Clock Corrections in Real-Time PPP Technique}, author = {Mutaz Wajeh Abdlamajud Qafisheh and Angel Martín Furones and Joaquín Torres-Sospedra}, editor = {A. Ometov and Jaarmi Nurmi and Elena Simona Lohan and Joaquín Torres-Sospedra, H. Kuusniemi (Eds) }, url = {http://ceur-ws.org/Vol-2626/paper11.pdf }, issn = {1613-0073 }, year = {2020}, date = {2020-06-15}, booktitle = {Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020}, volume = {2626}, abstract = {Real-time Precise Point Positioning (PPP) can provide the Global Navigation Satellites Systems (GNSS) users with the ability to determine their position accurately using only one GNSS receiver. The PPP solution does not rely on a base receiver or local GNSS network. However, for establishing a real-time PPP solution, the GNSS users are required to receive the Real-Time Service (RTS) message over the Network Transported of RTCM via Internet Protocol (NTRIP). The RTS message includes orbital, code biases, and clock corrections. GNSS users receive those corrections produced by the analysis center with some latency, which degraded the quality of coordinates obtained through realtime PPP. In this research, we investigate the Support Vector Machine (SVR) machine learning tool to overcome the latency for clock corrections in the IGS03 product. Three days of continuous GNSS observations at BREST permanent station in France were selected as a case study. BNC software was used to generate clock corrections files. Taking as reference the clock correction values without latency. The SVR solution shows a reduction in the standard deviation and range with about 30% and 20%, respectively, in comparison to the latency solution for all satellites except those satellites in GLONASS M block.}, keywords = {Mastergeotech}, pubstate = {published}, tppubtype = {inproceedings} } Real-time Precise Point Positioning (PPP) can provide the Global Navigation Satellites Systems (GNSS) users with the ability to determine their position accurately using only one GNSS receiver. The PPP solution does not rely on a base receiver or local GNSS network. However, for establishing a real-time PPP solution, the GNSS users are required to receive the Real-Time Service (RTS) message over the Network Transported of RTCM via Internet Protocol (NTRIP). The RTS message includes orbital, code biases, and clock corrections. GNSS users receive those corrections produced by the analysis center with some latency, which degraded the quality of coordinates obtained through realtime PPP. In this research, we investigate the Support Vector Machine (SVR) machine learning tool to overcome the latency for clock corrections in the IGS03 product. Three days of continuous GNSS observations at BREST permanent station in France were selected as a case study. BNC software was used to generate clock corrections files. Taking as reference the clock correction values without latency. The SVR solution shows a reduction in the standard deviation and range with about 30% and 20%, respectively, in comparison to the latency solution for all satellites except those satellites in GLONASS M block. |
Klus, Lucie; Lohan, Elena Simona; Granell-Canut, Carlos; Nurmi, Jari Lossy Compression Methods for Performance-Restricted Wearable Devices Inproceedings Ometov, A; Nurmi, Jari; Lohan, Elena Simona; Torres-Sospedra, Joaquín; (Eds), Kuusniemi H (Ed.): Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020, CEUR, 2020, ISBN: 1613-0073. Abstract | Links | BibTeX | Tags: A-wear, wearables @inproceedings{Klus2019b, title = {Lossy Compression Methods for Performance-Restricted Wearable Devices}, author = {Lucie Klus and Elena Simona Lohan and Carlos Granell-Canut and Jari Nurmi}, editor = {A. Ometov and Jari Nurmi and Elena Simona Lohan and Joaquín Torres-Sospedra and H. Kuusniemi (Eds) }, url = {http://ceur-ws.org/Vol-2626/paper9.pdf}, isbn = {1613-0073}, year = {2020}, date = {2020-06-12}, booktitle = {Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020}, volume = {2626}, publisher = {CEUR}, abstract = {With the increasing popularity, diversity, and utilization of wearable devices, the data transfer and storage efficiency becomes increasingly important. This paper evaluates a set of compression techniques regarding their utilization in crowdsourced wearable data. Transform-based Discrete Cosine Transform (DCT), interpolation-based Lightweight Temporal Compression (LTC) and dimensionality reduction-focused Symbolic Aggregate Approximation (SAX) were chosen as traditional methods. Additionally, an altered SAX (ASAX) is proposed by the authors and implemented to overcome some of the shortcomings of the traditional methods. As one of the most commonly measured entities in wearable devices, heart rate data were chosen to compare the performance and complexity of the selected compression methods. Main results suggest that best compression results are obtained with LTC, which is also the most complex of the studied methods. The best performance-complexity trade-off is achieved with SAX. Our proposed ASAX has the best dynamic properties among the evaluated methods.}, keywords = {A-wear, wearables}, pubstate = {published}, tppubtype = {inproceedings} } With the increasing popularity, diversity, and utilization of wearable devices, the data transfer and storage efficiency becomes increasingly important. This paper evaluates a set of compression techniques regarding their utilization in crowdsourced wearable data. Transform-based Discrete Cosine Transform (DCT), interpolation-based Lightweight Temporal Compression (LTC) and dimensionality reduction-focused Symbolic Aggregate Approximation (SAX) were chosen as traditional methods. Additionally, an altered SAX (ASAX) is proposed by the authors and implemented to overcome some of the shortcomings of the traditional methods. As one of the most commonly measured entities in wearable devices, heart rate data were chosen to compare the performance and complexity of the selected compression methods. Main results suggest that best compression results are obtained with LTC, which is also the most complex of the studied methods. The best performance-complexity trade-off is achieved with SAX. Our proposed ASAX has the best dynamic properties among the evaluated methods. |
Hofer, Barbara; Casteleyn, Sven; Aguilar-Moreno, Estefanía; Missoni-Steinbacher, Eva; Albrecht, Florian; Lemmens, Rob; Lang, Stefan; Albrecht, Jochen; Stelmaszczuk-Górska, Martyna; Vancauwenberghe, Glenn; Monfort-Muriach, Aida Complementing the European Earth Observation and Geographic Information Body of Knowledge with a Business-oriented Perspective Journal Article Transactions on GIS, 24 (3), pp. 587-601, 2020, ISSN: 1467-9671. Abstract | Links | BibTeX | Tags: Body of Knowledge, earth observation, EO4GEO, Geographic Information @article{Hofer2020, title = {Complementing the European Earth Observation and Geographic Information Body of Knowledge with a Business-oriented Perspective}, author = {Barbara Hofer and Sven Casteleyn and Estefanía Aguilar-Moreno and Eva Missoni-Steinbacher and Florian Albrecht and Rob Lemmens and Stefan Lang and Jochen Albrecht and Martyna Stelmaszczuk-Górska and Glenn Vancauwenberghe and Aida Monfort-Muriach}, editor = { }, doi = {http://dx.doi.org/10.1111/tgis.12628}, issn = {1467-9671}, year = {2020}, date = {2020-05-25}, journal = {Transactions on GIS}, volume = {24}, number = {3}, pages = {587-601}, abstract = {A body of knowledge (BoK) is an inventory of knowledge or concepts of a domain that serves as a reference vocabulary for various purposes, such as the development of curricula, the preparation of job descriptions, and the description of occupational profiles. To fulfill its purpose, a BoK needs to be up-to-date and ideally widely accepted by academia as well as the private and public sectors. This article presents the initiative taken in the Earth observation and geographic information (EO*GI) domain to provide a current, comprehensive education- and business-oriented EO*GI BoK called EO4GEO BoK. In particular, an approach to strengthen the business-oriented perspective in the EO4GEO BoK is presented. This approach is based on the analysis of professional tasks and the mapping of these tasks to concepts and skills contained in the BoK. A critical reflection of the proposed approach that is based on the experiences gained during a workshop complements this article.}, keywords = {Body of Knowledge, earth observation, EO4GEO, Geographic Information}, pubstate = {published}, tppubtype = {article} } A body of knowledge (BoK) is an inventory of knowledge or concepts of a domain that serves as a reference vocabulary for various purposes, such as the development of curricula, the preparation of job descriptions, and the description of occupational profiles. To fulfill its purpose, a BoK needs to be up-to-date and ideally widely accepted by academia as well as the private and public sectors. This article presents the initiative taken in the Earth observation and geographic information (EO*GI) domain to provide a current, comprehensive education- and business-oriented EO*GI BoK called EO4GEO BoK. In particular, an approach to strengthen the business-oriented perspective in the EO4GEO BoK is presented. This approach is based on the analysis of professional tasks and the mapping of these tasks to concepts and skills contained in the BoK. A critical reflection of the proposed approach that is based on the experiences gained during a workshop complements this article. |
Trilles-Oliver, Sergio; González-Pérez, Alberto; Huerta-Guijarro, Joaquín An IoT platform based on microservices and serverless paradigms for smart farming purposes Journal Article Sensors, 20 , pp. 2418, 2020. Abstract | Links | BibTeX | Tags: Internet of things, precision agriculture, Sensors @article{Trilles-Oliver2020c, title = {An IoT platform based on microservices and serverless paradigms for smart farming purposes}, author = {Sergio Trilles-Oliver and Alberto González-Pérez and Joaquín Huerta-Guijarro}, doi = {10.3390/s20082418 }, year = {2020}, date = {2020-05-23}, journal = {Sensors}, volume = {20}, pages = {2418}, abstract = {Nowadays, the concept of “Everything is connected to Everything” has spread to reach increasingly diverse scenarios, due to the benefits of constantly being able to know, in real-time, the status of your factory, your city, your health or your smallholding. This wide variety of scenarios creates different challenges such as the heterogeneity of IoT devices, support for large numbers of connected devices, reliable and safe systems, energy efficiency and the possibility of using this system by third-parties in other scenarios. A transversal middleware in all IoT solutions is called an IoT platform. the IoT platform is a piece of software that works like a kind of “glue” to combine platforms and orchestrate capabilities that connect devices, users and applications/services in a “cyber-physical” world. In this way, the IoT platform can help solve the challenges listed above. This paper proposes an IoT agnostic architecture, highlighting the role of the IoT platform, within a broader ecosystem of interconnected tools, aiming at increasing scalability, stability, interoperability and reusability. For that purpose, different paradigms of computing will be used, such as microservices architecture and serverless computing. Additionally, a technological proposal of the architecture, called SEnviro Connect, is presented. This proposal is validated in the IoT scenario of smart farming, where five IoT devices (SEnviro nodes) have been deployed to improve wine production. A comprehensive performance evaluation is carried out to guarantee a scalable and stable platform}, keywords = {Internet of things, precision agriculture, Sensors}, pubstate = {published}, tppubtype = {article} } Nowadays, the concept of “Everything is connected to Everything” has spread to reach increasingly diverse scenarios, due to the benefits of constantly being able to know, in real-time, the status of your factory, your city, your health or your smallholding. This wide variety of scenarios creates different challenges such as the heterogeneity of IoT devices, support for large numbers of connected devices, reliable and safe systems, energy efficiency and the possibility of using this system by third-parties in other scenarios. A transversal middleware in all IoT solutions is called an IoT platform. the IoT platform is a piece of software that works like a kind of “glue” to combine platforms and orchestrate capabilities that connect devices, users and applications/services in a “cyber-physical” world. In this way, the IoT platform can help solve the challenges listed above. This paper proposes an IoT agnostic architecture, highlighting the role of the IoT platform, within a broader ecosystem of interconnected tools, aiming at increasing scalability, stability, interoperability and reusability. For that purpose, different paradigms of computing will be used, such as microservices architecture and serverless computing. Additionally, a technological proposal of the architecture, called SEnviro Connect, is presented. This proposal is validated in the IoT scenario of smart farming, where five IoT devices (SEnviro nodes) have been deployed to improve wine production. A comprehensive performance evaluation is carried out to guarantee a scalable and stable platform |
Zaragozí, Benito; Navarro-Carrión, J; Rodríguez-Sala, J; Trilles-Oliver, Sergio; Ramón-Morte, A Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, pp. 294-301, SciTePress, 2020, ISBN: 978-989-758-425-1. Abstract | Links | BibTeX | Tags: land, land cover classification @inproceedings{Zaragozí2020c, title = {Improving the Usability of the Land Cover and Use Information System of Spain (SIOSE): A Proposal to Distribute New Thematic Layers and Predefined Reclassifications}, author = {Benito Zaragozí and J. Navarro-Carrión and J. Rodríguez-Sala and Sergio Trilles-Oliver and A Ramón-Morte}, doi = {10.5220/0009579502940301}, isbn = {978-989-758-425-1}, year = {2020}, date = {2020-05-15}, booktitle = {Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM}, pages = {294-301}, publisher = {SciTePress}, abstract = {Information on land use and land cover (LULC) is fundamental in the study and planning of human activities. In recent years, accessibility to quality geographical information has significantly increased, and this is also true for the case of LULC datasets. In Spain, the Land Cover and Use Information System of Spain (SIOSE) is concerned with harmonising access to this type of information through an object-oriented model and a series of technical specifications that regional administrations must follow. However, the information from SIOSE is so rich and complex that there is a usability gap that makes this data not exploited to its full potential in some contexts. In this communication, we analyse the context in which this usability gap occurs, its causes and consequences. Among other possible improvements, we suggest that enriching the SIOSE database with new thematic information would make its use more attractive and reduce the usability gap for less expert users. We propose an extension to the SIOSE object-oriented data model that will make it possible to enrich the LULC data with new data that are useful for various types of studies}, keywords = {land, land cover classification}, pubstate = {published}, tppubtype = {inproceedings} } Information on land use and land cover (LULC) is fundamental in the study and planning of human activities. In recent years, accessibility to quality geographical information has significantly increased, and this is also true for the case of LULC datasets. In Spain, the Land Cover and Use Information System of Spain (SIOSE) is concerned with harmonising access to this type of information through an object-oriented model and a series of technical specifications that regional administrations must follow. However, the information from SIOSE is so rich and complex that there is a usability gap that makes this data not exploited to its full potential in some contexts. In this communication, we analyse the context in which this usability gap occurs, its causes and consequences. Among other possible improvements, we suggest that enriching the SIOSE database with new thematic information would make its use more attractive and reduce the usability gap for less expert users. We propose an extension to the SIOSE object-oriented data model that will make it possible to enrich the LULC data with new data that are useful for various types of studies |
Zaragozí, Benito; Gutiérrez, A; Trilles-Oliver, Sergio Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, pp. 308-309, SciTePress, 2020, ISBN: 978-989-758-425-1. Abstract | Links | BibTeX | Tags: urban mobility @inproceedings{Zaragozí2020b, title = {Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts}, author = {Benito Zaragozí and A. Gutiérrez and Sergio Trilles-Oliver}, doi = {10.5220/0009766303020309}, isbn = {978-989-758-425-1}, year = {2020}, date = {2020-05-15}, booktitle = {Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM}, pages = {308-309}, publisher = {SciTePress}, abstract = {Automated fare collection systems for public transport generate a large volume of information on the mobility of people in urban environments. New technologies associated with Big Data can facilitate the analysis of these data. However, the application of these technologies can be expensive and resource-demanding, especially in medium and small cities. This paper presents the case of the metropolitan transport authority of Tarragona, for which an affordable and extensible analysis system has been developed, based on relational databases and custom scripts. Among the technical problems that have had to be overcome, one of the first has been the unambiguous definition of the numerous queries required by mobility experts. For different reasons, mobility researchers request aggregate data queries from smart transport cards logs (e.g. providing a descriptive statement) and expect manageable tables to be analysed in a spreadsheet. To standardise the definition of queries, a domain-specific language as a file naming convention has been proposed with which database managers and mobility experts can communicate efficiently, avoiding confusion, duplication of efforts and other problems detected. The file naming convention has been applied as an early version within the defined use case to verify the viability of this idea}, keywords = {urban mobility}, pubstate = {published}, tppubtype = {inproceedings} } Automated fare collection systems for public transport generate a large volume of information on the mobility of people in urban environments. New technologies associated with Big Data can facilitate the analysis of these data. However, the application of these technologies can be expensive and resource-demanding, especially in medium and small cities. This paper presents the case of the metropolitan transport authority of Tarragona, for which an affordable and extensible analysis system has been developed, based on relational databases and custom scripts. Among the technical problems that have had to be overcome, one of the first has been the unambiguous definition of the numerous queries required by mobility experts. For different reasons, mobility researchers request aggregate data queries from smart transport cards logs (e.g. providing a descriptive statement) and expect manageable tables to be analysed in a spreadsheet. To standardise the definition of queries, a domain-specific language as a file naming convention has been proposed with which database managers and mobility experts can communicate efficiently, avoiding confusion, duplication of efforts and other problems detected. The file naming convention has been applied as an early version within the defined use case to verify the viability of this idea |
Granell-Canut, Carlos; Hofer, Barbara; Nüst, Daniel; Ostermann, Frank O; Sileryte, Rusne Reproducibilidad en AGILE: Experiencias, logros y recomendaciones Journal Article Revista Cartográfica, (100), pp. 155-172, 2020, ISSN: 0080-2085. Abstract | Links | BibTeX | Tags: Reproducible research @article{Granell-Canut2020, title = {Reproducibilidad en AGILE: Experiencias, logros y recomendaciones}, author = {Carlos Granell-Canut and Barbara Hofer and Daniel Nüst and Frank O. Ostermann and Rusne Sileryte}, doi = {https://doi.org/10.35424/rcarto.v0i100.668}, issn = {0080-2085}, year = {2020}, date = {2020-05-04}, journal = {Revista Cartográfica}, number = {100}, pages = {155-172}, abstract = {Este artículo describe las experiencias, actividades realizadas, recursos generados y recomendaciones para la promoción e incentivación de prácticas en investigación reproducible en el campo de la ciencia de la información geográfica. Aunque el artículo se centra en la comunidad y conferencia AGILE (Association of Geographic Information Laboratories in Europe), creemos que los recursos y lecciones aprendidas pueden ser extrapolables a comunidades y asociaciones científicas afines en otras regiones, como puede ser Latinoamérica. En este sentido, hacemos especial hincapié en la descripción de las directrices para la redacción de artículos reproducibles propuestas en el seno de AGILE, así como en una serie de recomendaciones dirigidas principalmente a asociaciones y organizadores de conferencias científicas para la adopción y promoción paulatina de dichas prácticas. Se trata pues de una llamada a la comunidad Latinoamérica de la ciencia de la información geográfica a que consideren los recursos aquí detallados con el fin de incentivar la investigación reproducible en sus comunidades científicas.}, keywords = {Reproducible research}, pubstate = {published}, tppubtype = {article} } Este artículo describe las experiencias, actividades realizadas, recursos generados y recomendaciones para la promoción e incentivación de prácticas en investigación reproducible en el campo de la ciencia de la información geográfica. Aunque el artículo se centra en la comunidad y conferencia AGILE (Association of Geographic Information Laboratories in Europe), creemos que los recursos y lecciones aprendidas pueden ser extrapolables a comunidades y asociaciones científicas afines en otras regiones, como puede ser Latinoamérica. En este sentido, hacemos especial hincapié en la descripción de las directrices para la redacción de artículos reproducibles propuestas en el seno de AGILE, así como en una serie de recomendaciones dirigidas principalmente a asociaciones y organizadores de conferencias científicas para la adopción y promoción paulatina de dichas prácticas. Se trata pues de una llamada a la comunidad Latinoamérica de la ciencia de la información geográfica a que consideren los recursos aquí detallados con el fin de incentivar la investigación reproducible en sus comunidades científicas. |
Zaragozí, Benito M; Trilles-Oliver, Sergio; Navarro-Carrión, José T Leveraging container technologies in a GIScience project: A Perspective from Open Reproducible Research Journal Article ISPRS International Journal of Geo-Information, 9 , pp. 138, 2020. Abstract | Links | BibTeX | Tags: Open science, Reproducible research @article{Zaragozí2020, title = {Leveraging container technologies in a GIScience project: A Perspective from Open Reproducible Research}, author = {Benito M. Zaragozí and Sergio Trilles-Oliver and José T. Navarro-Carrión}, doi = {https://doi.org/10.3390/ijgi9030138 }, year = {2020}, date = {2020-04-16}, journal = {ISPRS International Journal of Geo-Information}, volume = {9}, pages = {138}, abstract = {Scientific reproducibility is essential for the advancement of science. It allows the results of previous studies to be reproduced, validates their conclusions and develops new contributions based on previous research. Nowadays, more and more authors consider that the ultimate product of academic research is the scientific manuscript, together with all the necessary elements (i.e., code and data) so that others can reproduce the results. However, there are numerous difficulties for some studies to be reproduced easily (i.e., biased results, the pressure to publish, and proprietary data). In this context, we explain our experience in an attempt to improve the reproducibility of a GIScience project. According to our project needs, we evaluated a list of practices, standards and tools that may facilitate open and reproducible research in the geospatial domain, contextualising them on Peng’s reproducibility spectrum. Among these resources, we focused on containerisation technologies and performed a shallow review to reflect on the level of adoption of these technologies in combination with OSGeo software. Finally, containerisation technologies proved to enhance the reproducibility and we used UML diagrams to describe representative work-flows deployed in our GIScience project}, keywords = {Open science, Reproducible research}, pubstate = {published}, tppubtype = {article} } Scientific reproducibility is essential for the advancement of science. It allows the results of previous studies to be reproduced, validates their conclusions and develops new contributions based on previous research. Nowadays, more and more authors consider that the ultimate product of academic research is the scientific manuscript, together with all the necessary elements (i.e., code and data) so that others can reproduce the results. However, there are numerous difficulties for some studies to be reproduced easily (i.e., biased results, the pressure to publish, and proprietary data). In this context, we explain our experience in an attempt to improve the reproducibility of a GIScience project. According to our project needs, we evaluated a list of practices, standards and tools that may facilitate open and reproducible research in the geospatial domain, contextualising them on Peng’s reproducibility spectrum. Among these resources, we focused on containerisation technologies and performed a shallow review to reflect on the level of adoption of these technologies in combination with OSGeo software. Finally, containerisation technologies proved to enhance the reproducibility and we used UML diagrams to describe representative work-flows deployed in our GIScience project |
Iskandaryan, Ditsuhi; Ramos-Romero, Francisco; Trilles-Oliver, Sergio Air quality prediction in smart cities using machine learning technologies based on sensor data: A Review Journal Article Applied sciences, 10 (7), pp. 2401, 2020. Abstract | Links | BibTeX | Tags: Air quality sensors, machine learning, Sensors, Smart Cities @article{Iskandaryan2020, title = {Air quality prediction in smart cities using machine learning technologies based on sensor data: A Review}, author = {Ditsuhi Iskandaryan and Francisco Ramos-Romero and Sergio Trilles-Oliver}, doi = {https://doi.org/10.3390/app10072401 }, year = {2020}, date = {2020-04-15}, journal = {Applied sciences}, volume = {10}, number = {7}, pages = {2401}, abstract = {The influence of machine learning technologies is rapidly increasing and penetrating almost in every field, and air pollution prediction is not being excluded from those fields. This paper covers the revision of the studies related to air pollution prediction using machine learning algorithms based on sensor data in the context of smart cities. Using the most popular databases and executing the corresponding filtration, the most relevant papers were selected. After thorough reviewing those papers, the main features were extracted, which served as a base to link and compare them to each other. As a result, we can conclude that: (1) instead of using simple machine learning techniques, currently, the authors apply advanced and sophisticated techniques, (2) China was the leading country in terms of a case study, (3) Particulate matter with diameter equal to 2.5 micrometers was the main prediction target, (4) in 41% of the publications the authors carried out the prediction for the next day, (5) 66% of the studies used data had an hourly rate, (6) 49% of the papers used open data and since 2016 it had a tendency to increase, and (7) for efficient air quality prediction it is important to consider the external factors such as weather conditions, spatial characteristics, and temporal features}, keywords = {Air quality sensors, machine learning, Sensors, Smart Cities}, pubstate = {published}, tppubtype = {article} } The influence of machine learning technologies is rapidly increasing and penetrating almost in every field, and air pollution prediction is not being excluded from those fields. This paper covers the revision of the studies related to air pollution prediction using machine learning algorithms based on sensor data in the context of smart cities. Using the most popular databases and executing the corresponding filtration, the most relevant papers were selected. After thorough reviewing those papers, the main features were extracted, which served as a base to link and compare them to each other. As a result, we can conclude that: (1) instead of using simple machine learning techniques, currently, the authors apply advanced and sophisticated techniques, (2) China was the leading country in terms of a case study, (3) Particulate matter with diameter equal to 2.5 micrometers was the main prediction target, (4) in 41% of the publications the authors carried out the prediction for the next day, (5) 66% of the studies used data had an hourly rate, (6) 49% of the papers used open data and since 2016 it had a tendency to increase, and (7) for efficient air quality prediction it is important to consider the external factors such as weather conditions, spatial characteristics, and temporal features |
Akande, Adelouwa Sustainable Smart Cities assessment framework PhD Thesis Universidade Nova de Lisboa. Information management school, 2020. BibTeX | Tags: GEO-C, Smart Cities @phdthesis{Akande2020, title = {Sustainable Smart Cities assessment framework}, author = {Adelouwa Akande}, editor = {Pedro Cabral and Sven Casteleyn (supervisors)}, year = {2020}, date = {2020-03-13}, address = {Lisbon}, school = {Universidade Nova de Lisboa. Information management school}, keywords = {GEO-C, Smart Cities}, pubstate = {published}, tppubtype = {phdthesis} } |
IF Journal
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Thesis & M. Thesis
2021 |
Estudio de la fiabilidad de un sensor IoT de PM de bajo coste en ambientes interiores y exteriores Inproceedings Congreso Nacional de Medio Ambiente 2020 (CONAMA 2020), pp. 1-20, 2021, ISBN: 978-84-09-31739-4. |
Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning Inproceedings Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), pp. 1-5, IEEE, 2021, ISBN: 978-1-7281-8965-9. |
Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting Inproceedings Proceedings of the 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), pp. 1-5, IEEE, 2021, ISBN: 978-1-7281-8964-2. |
Towards Gender Equality in Education and Career in the Earth Observation and GI sector Inproceedings The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 21-27, Copernicus Publications, 2021. |
Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries Inproceedings Geographical Information Systems Theory, Applications and Management. GISTAM 2020, pp. 102-118, Springer, Cham, 2021, ISBN: 978-3-030-76374-9. |
Geographical Information Systems Theory, Applications and Management. GISTAM 2020, pp. 85-101, Springer, Cham, 2021, ISBN: 978-3-030-76374-9. |
Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach Inproceedings Proceedings of the 2021 International Conference on Localization and GNSS (ICL-GNSS), pp. 1-6, IEEE, 2021, ISBN: 978-1-7281-9645-9. |
Open Data Accessibility Based on Voice Commands Inproceedings Web Engineering. ICWE 2021, Springer, Cham, 2021, ISBN: 978-3-030-74296-6. |
When wearable technology meets computing in future networks: a road ahead Inproceedings Proceedings of the 18th ACM International Conference on Computing Frontiers, pp. 185–190, ACM, 2021, ISBN: 9781450384049. |
An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics in Location-aware Games PhD Thesis Universitat Jaume I. INIT, 2021. |
Process Model Metrics for Quality Assessment of Computer-Interpretable Guidelines in PROforma Journal Article Applied Sciences, 11 (7), pp. 2922, 2021, ISSN: 2076-3417. |
Discovering location based services: A unified approach for heterogeneous indoor localization systems Journal Article Internet of Things, 13 (1001511), 2021, ISSN: 2542-6605. |
Features Exploration from Datasets Vision in Air Quality Prediction Domain Journal Article Atmosphere, 12 (3), pp. 312, 2021, ISSN: 2073-4433. |
Passive Mobile Data for Studying Seasonal Tourism Mobilities: an Application in a Mediterranean Coastal Destination Journal Article ISPRS International Journal of Geo-Information, 10 (2), pp. 98, 2021. |
GIS in Africa Journal Article Transactions in GIS, 25 (2), pp. 672-673, 2021, ISSN: 1467-9671. |
Collaborative Indoor Positioning Systems: A Systematic Review Journal Article Sensors, 21 (3), pp. 1002, 2021. |
Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location Journal Article IEEE Transactions on Instrumentation and Measurement, 70 (1001511), 2021. |
Direct Lightweight Temporal Compression for Wearable Sensor Data Journal Article IEEE Sensors Letters, 5 (2), pp. 7000404, 2021, ISSN: 2475-1472. |
Openness: A Key Factor for Smart Cities Book Chapter Augusto, Juan Carlos (Ed.): Handbook of Smart Cities, pp. 1-32, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-15145-4. |
A scoping review on the use, processing and fusion of geographic data in virtual assistants Journal Article Transactions in GIS, 25 (4), pp. 1784-1808, 2021, ISBN: 1361-1682. |
Path of least resistance: using geo-games and crowdsourced data to map cycling frictions Book Chapter Skarlatidou, Artemis; one left behind., Muki Haklay (eds.) Geographic Citizen Science Design: No (Ed.): Chapter 8, pp. 165-185, UCL press, 2021, ISBN: 978-1-78735-614-6. |
2020 |
Understanding the sharing economy and its implication on sustainability in smart cities Journal Article Journal of Cleaner Production, 277 , pp. 124077, 2020, ISBN: 0959-6526, (IF). |
Deep Learning-Based Cell-Level and Beam-Level Mobility Management System Journal Article Sensors, 20 (24), pp. 7124, 2020, ISSN: 1424-8220. |
A geotagged image dataset with compass directions for studying the drivers of farmland abandonment Journal Article Data in brief, 33 , pp. 106340, 2020. |
Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture Journal Article Sensors, 20 (22), pp. 6597, 2020, ISSN: 1424-8220. |
A comparative study in the standardisation of IoT devices using geospatial web standards Journal Article IEEE Sensors, 21 (4), pp. 5512-5528, 2020. |
The 15th Munin Conference on Scholarly Publishing 2020, organized online by UiT The Arctic University of Norway, November 17–19, 2020, 2020, ISSN: 2387-3086. |
Optimal Placement of Social Digital Twins in Edge IoT Networks Journal Article Sensors, 20 (21), pp. 6181, 2020, ISSN: 1424-8220. |
Women in Copernicus: Global analysis of the survey Technical Report 2020. |
Challenges and Performance Evaluation of Multicast Transmission in 60 GHz mmWave Inproceedings Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2020., pp. 3-17, Springer, Cham, 2020, ISBN: 978-3-030-66241-7. |
Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era Journal Article Data, 5 (4), pp. 87, 2020, ISSN: 2306-5729. |
Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices Inproceedings Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 5-8 October 2020. Online event, pp. 208-213, 2020, ISBN: 978-1-7281-9281-9. |
RSS Fingerprinting dataset size reduction using feature-wise adaptive k-means clustering. Inproceedings Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 5-8 October 2020. Online event,, pp. 195-200, 2020, ISBN: 978-1-7281-9281-9, (best paper ward). |
The IPIN 2019 Indoor Localisation Competition: Description and Results Journal Article IEEE Access, 8 , pp. 206674-20671, 2020, ISSN: 2169-3536. |
Body of knowledge for the Earth Observation and Geoinformation sector: a basis for innovative skills development Journal Article International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B5-2020 , pp. 15-22, 2020. |
Analysis of Received Signal Strength Quantization in Fingerprinting Localization Journal Article Sensors, 20 (3203), 2020, ISSN: 1424-8220. |
La evolución del proyecto Sucre4Kids mediante el paradigma del Internet de las Cosas Inproceedings Actas de las Jornadas sobre Enseñanza Universitaria de la Informática (JENUI) Valencia, Spain, Jul 2020, pp. 53-60, 2020, ISSN: 2531-0607. |
New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting Inproceedings 2020 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2020, pp. 1-6, IEEE, 2020, ISBN: 978-1-7281-6455-7. |
Privacy in Indoor Positioning Systems:a systematic review Inproceedings 2020 International Conference on Localization and GNSS (ICL-GNSS), Tampere, Finland, 2020, pp. 1-6, IEEE 2020, ISBN: 978-1-7281-6455-7. |
Sensor Fusion and Well Condition Triangle Approach for BLE-based Indoor Positioning Inproceedings Ometov, A; Nurmi, Jaarmi; Lohan, Elena Simona; Torres-Sospedra, Joaquín; (Eds), Kuusniemi H (Ed.): Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020, CEUR, 2020, ISSN: 1613-0073 . |
Support Vector Regression Machine Learning Tool to Predict GNSS Clock Corrections in Real-Time PPP Technique Inproceedings Ometov, A; Nurmi, Jaarmi; Lohan, Elena Simona; Joaquín Torres-Sospedra, Kuusniemi (Eds) H (Ed.): Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020, 2020, ISSN: 1613-0073 . |
Lossy Compression Methods for Performance-Restricted Wearable Devices Inproceedings Ometov, A; Nurmi, Jari; Lohan, Elena Simona; Torres-Sospedra, Joaquín; (Eds), Kuusniemi H (Ed.): Proceedings of the International Conference on Localization and GNSS (ICL GNSS 2020) CEUR Workshop Proceedings. Tampere, Finland, June 2-4 2020, CEUR, 2020, ISBN: 1613-0073. |
Complementing the European Earth Observation and Geographic Information Body of Knowledge with a Business-oriented Perspective Journal Article Transactions on GIS, 24 (3), pp. 587-601, 2020, ISSN: 1467-9671. |
An IoT platform based on microservices and serverless paradigms for smart farming purposes Journal Article Sensors, 20 , pp. 2418, 2020. |
Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, pp. 294-301, SciTePress, 2020, ISBN: 978-989-758-425-1. |
Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, pp. 308-309, SciTePress, 2020, ISBN: 978-989-758-425-1. |
Reproducibilidad en AGILE: Experiencias, logros y recomendaciones Journal Article Revista Cartográfica, (100), pp. 155-172, 2020, ISSN: 0080-2085. |
Leveraging container technologies in a GIScience project: A Perspective from Open Reproducible Research Journal Article ISPRS International Journal of Geo-Information, 9 , pp. 138, 2020. |
Air quality prediction in smart cities using machine learning technologies based on sensor data: A Review Journal Article Applied sciences, 10 (7), pp. 2401, 2020. |
Sustainable Smart Cities assessment framework PhD Thesis Universidade Nova de Lisboa. Information management school, 2020. |