Browsing by Author "6ef5233d-42d9-47b7-9702-58895846b989"
Now showing items 1-20 of 72
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A comparative study in the standardisation of IoT devices using geospatial web standards
Marsh-Hunn, Daniel; Trilles, Sergio; González-Pérez, Alberto; Torres-Sospedra, Joaquín; Ramos, Jose Francisco Institute of Electrical and Electronics Engineers (2020-10-15)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 ... -
A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting2020
Torres-Sospedra, Joaquín; Richter, Philipp; Moreira, Adriano; Mendoza-Silva, Germán Martín; Lohan, Elena Simona; Trilles, Sergio; Matey-Sanz, Miguel; Huerta, Joaquin IEEE (2020-08-17)Wi-Fi fingerprinting is a well-known technique used for indoor positioning. It relies on a pattern recognition method that compares the captured operational fingerprint with a set of previously collected reference samples ... -
A comprehensive IoT node proposal using open hardware. A smart farming use case to monitor vineyards.
Trilles, Sergio; González-Pérez, Alberto; Huerta, Joaquin MDPI (2018)The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of ... -
A Decentralised Location-Based Reputation Management System in the IoT using Blockchain
Weerapanpisit, Ponlawat; Trilles, Sergio; Huerta, Joaquin; Painho, Marco Institute of Electrical and Electronics Engineers (2022-01-31)The Internet of Things allows an object to connect to the Internet and observe or interact with a physical phenomenon. The communication technologies allow one IoT device to discover and communicate with another in order ... -
A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data
Trilles, Sergio; Belmonte-Fernández, Óscar; Schade, Sven; Huerta, Joaquin Taylor & Francis (2016-07)Pushed by the Internet of Things (IoT) paradigm modern sensor networks monitor a wide range of phenomena, in areas such as environmental monitoring, health care, industrial processes, and smart cities. These networks provide ... -
A geotagged image dataset with compass directions for studying the drivers of farmland abandonment
Benito, Pedro J; Trilles, Sergio; Carrion, Daniela; Pérez Albert, Yolanda Elsevier (2020-12)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 ... -
A Low-Cost Control Occupancy Solution Using a Time-of-Flight Ranging Sensor Laser
Bartrés Jurado, Enric; Trilles, Sergio; Perez-Navarro, Antoni; Torres-Sospedra, Joaquín CEUR Workshop Proceedings (2022)The pandemic situation has driven to several measures to prevent the spread of COVID-19. One of these measures is social distance and, as a consequence, limitation of capacity of indoor closed spaces. This makes necessary ... -
A realistic evaluation of indoor positioning systems based on Wi-Fi fingerprinting: The 2015 EvAAL–ETRI competition
Torres-Sospedra, Joaquín; Moreira, Adriano; Knauth, Stefan; Berkvens, Rafael; Montoliu Colás, Raul; Belmonte-Fernández, Óscar; Trilles, Sergio; Nicolau, Maria João; Meneses, Filipe; Costa, António; Koukofikis, Athanasios; Weyn, Maarten; Peremans, Herbert IOS press (2017-02)This paper presents results from comparing different Wi-Fi fingerprinting algorithms on the same private dataset. The algorithms where realized by independent teams in the frame of the off-site track of the EvAAL–ETRI ... -
A set of deep learning algorithms for air quality prediction applications
Iskandaryan, Ditsuhi; Ramos, Francisco; Trilles, Sergio Elsevier (2023)This paper presents a set of machine learning algorithms, including grid-based (Bidirectional Convolutional Long Short-Term Memory) and graph-based (Attention Temporal Graph Convolutional Network) algorithms to predict air ... -
Acceso ágil a redes de sensores. Un caso de estudio de monitorización de datos de calidad del aire y metereológicos
Trilles, Sergio; Díaz Sánchez, Laura; Huerta, Joaquin Centro Nacional de Información Geográfica (2013-11)En el presente trabajo se pretende incrementar la interoperabilidad y accesibilidad de estos datos para que los usuarios puedan utilizarlos en diferentes escenarios y con variedad de necesidades dependiendo del lugar y ... -
Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes
Trilles, Sergio; González-Pérez, Alberto; Huerta, Joaquin MDPI (2019)Weather conditions are one of the main threats that can lead to diseases in crops. Unfavourable conditions, such as rain or high humidity, can produce a risk of fungal diseases. Meteorological monitoring is vital to have ... -
Advancing preuniversity students' computational thinking skills through an educational project based on tangible elements and virtual block‐based programming
Trilles, Sergio; Granell, Carlos Wiley (2020-11)University students enroling in Science, Technology, Engineering and Mathematics (STEM)‐related studies such as computer science continue to decline, even though worldwide educational policy reports warn about the need for ... -
Agile access to sensor network
Trilles, Sergio; Belmonte-Fernández, Óscar; Díaz Sánchez, Laura; Huerta, Joaquin AGILE Digital Editions (2014-06)The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. This way, this data can be employed by different devices and with diverse context requirements, ... -
Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review
Iskandaryan, Ditsuhi; Ramos, Jose Francisco; Trilles, Sergio MDPI (2020-04-01)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 ... -
Air Quality Trend of PM10. Statistical Models for Assessing the Air Quality Impact of Environmental Policies
Vicente, Ana Belen; Juan, Pablo; Meseguer Costa, Sergio; Serra, Laura; Trilles, Sergio MDPI (2019)A statistical modelling of PM10 concentration (2006–2015) is applied to understand the behaviour, to know the influence of the variables to exposure risk, to treat the missing data to evaluate air quality, and to estimate ... -
An Indoor Positioning System Based on Wearables for Ambient-Assisted Living
Belmonte-Fernández, Óscar; Puertas-Cabedo, Adrian; Torres-Sospedra, Joaquín; Montoliu Colás, Raul; Trilles, Sergio MDPI (2016)The urban population is growing at such a rate that by 2050 it is estimated that 84% of the world’s population will live in cities, with flats being the most common living place. Moreover, WiFi technology is present in ... -
An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes
Trilles, Sergio; González-Pérez, Alberto; Huerta, Joaquin MDPI (2020)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, ... -
An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment
Hammad, Sahibzada Saadoon; Iskandaryan, Ditsuhi; Trilles, Sergio Elsevier (2023-07-08)Artificial Intelligence of Things (AIoT) is an emerging area of interest, and this can be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) devices. IoT data are prone to anomalies due ... -
Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries
Zaragozí, Benito; Gutierrez, Aaron; Trilles, Sergio Springer (2021)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 ... -
Anomaly detection based on Artificial Intelligence of Things: A Systematic Literature Mapping
Trilles, Sergio; Hammad, Sahibzada Saadoon; Iskandaryan, Ditsuhi Elsevier (2024-04-01)Advanced Machine Learning (ML) algorithms can be applied using Edge Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things (AIoT). EC has emerged as a solution for processing and analysing ...