Listar INIT_Congressos i Informes por fecha de publicación
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Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification
IEEE (2022)Machine learning models have become an essential tool in current indoor positioning solutions, given their high capabilities to extract meaningful information from the environment. Convolutional neural networks (CNNs) ... -
Towards Accelerated Localization Performance Across Indoor Positioning Datasets
IEEE (2022)The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning models can achieve comparable positioning performance, their ... -
A Low-Cost Control Occupancy Solution Using a Time-of-Flight Ranging Sensor Laser
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 ... -
Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets
IEEE (2022)Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need to be pre-processed prior to being ... -
Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm
IEEE (2021-11-29)Nowadays, several indoor positioning solutions sup-port Wi-Fi and use this technology to estimate the user position. It is characterized by its low cost, availability in indoor and outdoor environments, and a wide variety ... -
Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets
IEEE (2021-11-29)The evaluation of Indoor Positioning Systems (IPSs) mostly relies on local deployments in the researchers’ or partners’ facilities. The complexity of preparing comprehensive experiments, collecting data, and considering ... -
Transfer Learning for Convolutional Indoor Positioning Systems
IEEE (2021-11-29)Fingerprinting is a widely used technique in indoor positioning, mainly due to its simplicity. Usually, this technique is used with the deterministic k - Nearest Neighbors (k-NN) algorithm. Utilizing a neural network model ... -
Unsupervised detection of transitions at home by using BLE technology
IEEE (2021-11)This paper presents a set of unsupervised methods based on Bluetooth Low Energy (BLE) technology to obtain the position and transitions that users perform between the zones where they usually stay longer in their own homes. ... -
Optimal Receivers Location for Passive Indoor Positioning based on BLE
CEUR Workshop Proceedings (2021-11)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 ... -
Coupling Helmholtz resonators for sound manipulation
IEEE (2021-09-20)In this work, we discuss the interaction between Helmholtz resonators, using the finite element method. We show that the coupling between two spheres gives rise to two resonant modes at low frequencies. One is symmetric ... -
Reproducible Research and GIScience: An Evaluation Using GIScience Conference Papers
Schloss Dagstuhl Leibniz-Zentrum für Informatik GmbH (2021-09-14)GIScience conference authors and researchers face the same computational reproducibility challenges as authors and researchers from other disciplines who use computers to analyse data. Here, to assess the reproducibility ... -
Modeling excess weight in Spain by using deterministic and random differential equations
Universitat Politècnica de València (2021-07-14)In this work, the aim is to model the data from the Spanish National Health Survey (ENSE) 2017, which gathers the percentage of overweight and obese adults in Spain from 1987 to 2017. A compartmental system of differential ... -
Anonymous Attribute-based Credentials in Collaborative Indoor Positioning Systems
SciTePress (2021-07-06)Collaborative Indoor Positioning Systems (CIPSs) have recently received considerable attention, mainly because they address some existing limitations of traditional Indoor Positioning Systems (IPSs). In CIPSs, Bluetooth ... -
Single-pixel spatial frequency domain imaging with integrating detection
Optica Publishing Group (2021-06-20)We present a spatial frequency domain imaging (SFDI) system based on single-pixel imaging (SPI) techniques with a single digital micromirror device (DMD) modulating simultaneously the sinusoidal pattern and the spatial ... -
Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning
Institute of Electrical and Electronics Engineers (2021-06-15)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, ... -
Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach
Institute of Electrical and Electronics Engineers (2021-06-15)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 ... -
Characterising Players of a Cube Puzzle Game with a Two-level Bag of Words
Association for Computing Machinery (ACM) (2021-06)This work explores an unsupervised approach for modelling players of a 2D cube puzzle game with the ultimate goal of customising the game for particular players based solely on their interaction data. To that end, user ... -
Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting
IEEE (2021-04-25)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 ... -
Towards Gender Equality in Education and Career in the Earth Observation and GI Sector
Copernicus GmbH (2021)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 ... -
Generalized Scalable Neighborhood Component Analysis for Single and Multi-Label Remote Sensing Image Characterization
IEEE (2021)Deep metric learning has recently become a prominent technology for the semantic understanding ofremote sensing (RS) scenes due to its great potential for characterizing visual semantics. However, state-of-the-art deep ...