Sergi Trilles Oliver

Sergi Trilles Oliver
Universitat Jaume I | UJI · Institute of New Imaging Technologies

PhD

About

92
Publications
34,923
Reads
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1,140
Citations
Introduction
Sergio Trilles has a PhD in Integration of Geospatial Information from the Jaume I University in 2015 and is currently a post-doctoral fellow at University Jaime I, holding a Juan de la Cierva-Incorporación fellowship. His research lines are centre on geospatial fields such as the Internet of Things (sensors), interoperability, geoprocessing or web mapping. He is author of more than fifty journal and conference peer-reviewed publications. Currently, he accumulates a total of 26 months of res
Additional affiliations
September 2015 - present
Universitat Jaume I
Position
  • PostDoc Position
December 2010 - present
Universitat Jaume I
Position
  • Research Assistant

Publications

Publications (92)
Article
Traditionally, machine learning technologies with the methods and capabilities available, combined with a geospatial dimension, can perform predictive analyzes of air quality with greater accuracy. However, air pollution is influenced by many external factors, one of which has recently been caused by the restrictions applied to curb the relentless...
Conference Paper
Nitrogen dioxide is one of the most hazardous pollutants identified by the World Health Organisation. Predicting and reducing pollutants is becoming a very urgent task and many methods have been used to predict their concentration, such as physical or machine learning models. In addition to choosing the right model, it is also critical to choose th...
Article
Full-text available
Nitrogen dioxide is one of the pollutants with the most significant health effects. Advanced information on its concentration in the air can help to monitor and control further consequences more effectively, while also making it easier to apply preventive and mitigating measures. Machine learning technologies with available methods and capabilities...
Article
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 (radio map) using a similarity function. The matching algorithms suffer from a scalability problem in large deployments with a h...
Chapter
The fog/edge computing paradigm has been proposed to tackle the challenges inherent to the Internet of Things realm. Timely response, bandwidth efficiency, context awareness, data privacy and safety, and mobility support are some of the requirements that are only partially covered by cloud computing. A collaboration of both paradigms when developin...
Chapter
Poor air quality can cause many diseases, including heart disease, stroke, chronic obstructive pulmonary disease, and lung cancer, among others. With increasing urbanization, the problems associated with air pollution become more serious. Therefore preventing the consequences ofy air pollution is an urgent problem. It is essential to study the prog...
Conference Paper
Full-text available
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 the deployment of systems that help to control occupancy of spaces. This work proposes a low-cost system to control access to an...
Conference Paper
Full-text available
Indoor Positioning Systems are attracting many researchers, being Bluetooth Low Energy gaining some attention recently. The recent need to track people, ensuring low density of people in some areas, made the research community to provide unintrusive tracking. In contrast to traditional direct ngerprinting, where the user utilizes their mobile to es...
Article
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In order to reduce the advance of the pandemic produced by COVID-19, many actions and restrictions have been applied and the field of education has been no exception. In Spain, during the academic year 2020-2021, face-to-face teaching generally continued in both primary and secondary schools. Throughout the year, different measures have been taken...
Article
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The data generated in public transport systems have proven to be of great importance in improving knowledge of public transport systems, being very valuable in promoting the sustainability of public transport through rational management. However, the analysis of this data involves numerous tasks, so that when the value of analysing the data is fina...
Chapter
This paper presents a comparative analysis of predictive models applied to air quality estimation. Currently, among other global issues, there is a high concern about air pollution, for this reason, there are several air quality indicators, with carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3) being the main ones. W...
Article
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Emerging communication network applications require a location accuracy of less than 1m in more than 95% of the service area. For this purpose, 5G New Radio (NR) technology is designed to facilitate high-accuracy continuous localization. In 5G systems, the existence of high-density small cells and the possibility of the device-to-device (D2D) commu...
Chapter
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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 ef...
Chapter
Full-text available
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...
Article
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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 c...
Article
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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 t...
Article
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Inadequate weather conditions are one of the main threats to the correct development of sensitive crops, where a bad situation can lead to greater stress on plants and their weakness against various diseases. This statement is especially decisive in the cultivation of the vineyard. Meteorological monitoring of vineyard parcels is vital to detect an...
Article
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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 the...
Data
Datasets and method implemented for the paper: Torres-Sospedra, J.; Richter, P.; Moreira, A.; Mendoza-Silva, G.; Lohan, E.; Trilles, S.; Matey-Sanz, M. and Huerta, J. "A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting" IEEE Transactions on Mobile Computing, 2020 https://doi.org/10.1109/TMC.2020...
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...
Article
Full-text available
The growing popularity of soccer has led to the prediction of match results becoming of interest to the research community. The aim of this research is to detect the effects of weather on the result of matches by implementing Random Forest, Support Vector Machine, K-Nearest Neighbors Algorithm, and Extremely Randomized Trees Classifier. The analysi...
Article
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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 o...
Article
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 this type of professionals in the immediate future. Promoting computer science studies among preuniversity students seems the m...
Article
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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...
Article
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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. Usi...
Article
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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...
Article
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Scientific research results are traditionally published as articles in peer-reviewed conference proceedings or journals. These articles often use technical jargon, which precludes the general public from consuming the results achieved. New ways to communicate scientific results are thus necessary to transfer scientific insights to non-experts, and...
Conference Paper
Full-text available
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 harmon...
Conference Paper
Full-text available
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 cit...
Chapter
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This chapter presents the results obtained during the three years of the SUCRE4Kids project, whose main objectives are the promotion of scientific vocations, the promotion of computational thinking and programming in high school students and Vocational Education and Training students. SUCRE4Kids combines the use of smart devices and electronic comp...
Article
Full-text available
A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of low-cost sensors, improving the spatial and temporal resolution of air quality data while increasing the effectiveness of risk as...
Preprint
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Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key...
Chapter
Full-text available
Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking...
Article
Full-text available
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 data for those sites where they are not available. The study area, Castellón region (Spain), is a strategic area in the framewor...
Conference Paper
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En la actualidad, millones de dispositivos de Internet of Things (IoT) están presentes en nuestra vida diaria. Dichos dispositivos, con permanente comunicación a Internet, necesitan de normas o estándares para poder establecer conexión, tanto a nivel de conectividad como de transferencia de datos. Debido a la existencia de una gran cantidad de prot...
Conference Paper
En la actualidad, millones de dispositivos de Internet of Things (IoT) están presentes en nuestra vida diaria. Dichos dispositivos, con permanente comunicación a Internet, necesitan de normas o estándares para poder establecer conexión, tanto a nivel de conectividad como de transferencia de datos. Debido a la existencia de una gran cantidad de prot...
Conference Paper
Massive amounts of research have been doing on predicting soccer matches using machine learning algorithms. Unfortunately, there are no prior researches used weather condition as features. In this work, three different classification algorithms were investigated for predicting the outcomes of soccer matches by using temperature difference and sever...
Article
Full-text available
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 some indication of a possible infection. The literature contains a wide variety of models for warning for this type of disease.Th...
Chapter
Full-text available
The open data movement has been gaining momentum in the recent years, with increasingly many public institutions making their data freely accessible. Despite much data being already open (and more to come), finding information about the actual usage of these open datasets is still a challenge. This chapter introduces two tools of the Open City Tool...
Chapter
Wi-Fi fingerprinting, a well-established indoor positioning technique, relies on a simple rule: the position attached to a fingerprint can be estimated from known positions of similar fingerprints. One crucial step of fingerprinting is to generate the radio map (reference dataset of fingerprints with well-known positions) required for estimating th...
Article
Full-text available
In recent years, some official reports, to produce best products regarding quality, quantity and economic conditions, recommend that the farming sector should benefit with new tools and techniques coming from Information and Communications Technology (ICT) realm. In this way, during last decade the deployment of sensing devices has increased consid...
Article
Full-text available
The idea of virtuality is not new, as research on visualization and simulation dates back to the early use of ink and paper sketches for alternative design comparisons. As technology has advanced so the way of visualizing simulations as well, but the progress is slow due to difficulties in creating workable simulations models and effectively provid...
Article
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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 knowledge (open access), programs (open-source software), and components (open hardware). This situation has produced different effe...
Conference Paper
Full-text available
During the last decade, a massive deployment of sensing devices using the Internet protocol to transfer data, called the Internet of Things, has penetrated considerably in all areas; the field of agriculture is not an exception. This fact has led to a new concept called "smart agriculture", and it contemplates activities such as field monitoring, w...
Article
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Nowadays, citizens have a huge concern about the quality of life in their cities, especially regarding the level of pollution. Air quality level is of great importance, not only to plan our activities but also to take precautionary measures for our health. All levels of governments are concerned about it and have built their indexes to measure the...
Article
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The GEO-C doctoral programme, entitled “Geoinformatics: Enabling Open Cities”, is funded by the EU Marie Skłodowska-Curie actions (International Training Networks (ITN), European Joint Doctorates) until December 2018, and is managed by three European universities in Germany, Portugal and Spain. 15 doctoral grantholders (Early Stage Researchers) wer...
Article
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Open data has a profound effect on the working environment within which information is created and shared at all levels. At the local government level, open data initiatives have resulted in higher transparency in policy, a greater engagement between decision‐makers and citizens, and have changed the culture about how data analysis and evidence are...
Article
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Resumen SUCRE4Kids es un proyecto que intenta fomentar la curiosidad y la vocación científica, el pensamiento computacional y la programación en el alumnado de educación secundaria, ciclos formativos y bachillerato. Enmarcado dentro de las competencias STEM, SUCRE4Kids combina el uso de dispositivos inteligentes y componentes electrónicos con la pr...
Article
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Open data initiatives are playing an important role in current city governments. Despite more data being made open, few studies have looked into barriers to open geographic data reuse from a data consumer’s perspective. This article suggests a taxonomy of these barriers for Colombia and Spain, based on a literature review, an online questionnaire,...
Article
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This paper presents an in-home monitoring system based on WiFi fingerprints for Ambient Assisted Living. WiFi fingerprints are used to continuously locate a patient at the different rooms in her/his home. The experiments performed provide a correctly location rate of 96% in the best case of all studied scenarios. The behavior obtained by location m...