Listar Institute of New Imaging Technologies (INIT) por título
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Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks
Springer (2022)Point processes on linear networks are increasingly being considered to analyse events occurring on particular network-based structures. In this paper, we extend Local Indicators of Spatio-Temporal Association (LISTA) ... -
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 ... -
Locations Selection for Periodic Radio Map Update in WiFi Fingerprinting
Springer (2018)The construction and update of a radio map are usually referred as the main drawbacks of WiFi fingerprinting, a very popular method in indoor localization research. For radio map update, some studies suggest taking new ... -
Long-Term Analyses of the Rate of Perceived Exertion as an Indicator of Intensity in Women’s Basketball during a Relegation Play-off
MDPI (2022-11)Knowledge of internal load is essential to understand the effect of training and competition on athletes. The aim of this study was to analyse the validity of the rate of perceived exertion (RPE) scale as an indicator of ... -
Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor Positioning
MDPI (2018-01-16)WiFi fingerprinting, one of the most popular methods employed in indoor positioning, currently faces two major problems: lack of robustness to short and long time signal changes and difficult reproducibility of new methods ... -
Looking for “in-between” Places
Media Theory (2018)This article develops the concept of “in-between” places in relation to the study of language, perceptions and memorieswithin the broader mediation of cartography. We held an empirical qualitative studyin the city of ... -
Loss compensation in time-dependent elastic metamaterials
American Physical Society (2018)Materials with properties that are modulated in time are known to display wave phenomena showing energy increasing with time, with the rate mediated by the modulation. Until now there has been no accounting for ... -
Lossy Compression Methods for Performance-Restricted Wearable Devices
CEUR Workshop Proceedings (2020)With the increasing popularity, diversity, and utilization of wearable devices, the data transfer-andstorage efficiency becomes increasingly important. This paper evaluates a set of compression techniques regarding their ... -
Low-cost single-pixel 3D imaging by using an LED array
Optical Society of America (2018)We propose a method to perform color imaging with a single photodiode by using light structured illumination generated with a low-cost color LED array. The LED array is used to generate a sequence of color Hadamard ... -
Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification
IEEE (2018-11)Convolutional neural networks have emerged as an excellent tool for remotely sensed hyperspectral image (HSI) classification. Nonetheless, the high computational complexity and energy requirements of these models typically ... -
Lp-calculus Approach to the Random Autonomous Linear Differential Equation with Discrete Delay
Springer Nature Switzerland AG (2019-06-19)In this paper, we provide a full probabilistic study of the random autonomous linear differential equation with discrete delay τ > 0: x (t) = ax(t) + bx(t − τ ), t ≥ 0, with initial condition x(t) = g(t), −τ ≤ t ≤ 0. ... -
Machine learning assisted intelligent design of meta structures: a review
OAE Publishing (2023-10)In recent years, the rapid development of machine learning (ML) based on data-driven or environment interaction has injected new vitality into the field of meta-structure design. As a supplement to the traditional ... -
Magnetic Field as a Characterization of Wide and Narrow Spaces in a Real Challenging Scenario Using Dynamic Time Warping
Institute of Electrical and Electronics Engineers (2018-11-15)This paper presents a study of indoor positioning in public zones of the Parc Taulí Hospital in Sabadell. It is a challenging scenario because: (1) it combines wide spaces with middle sized and narrow spaces; (2) it is a ... -
Magnetic field based Indoor positioning using the Bag of Words paradigm
Institute of Electrical and Electronics Engineers (2016-11-17)In this paper, A Bag of Words based method is presented to test a magnetic field based indoor positioning method. The Indoor positioning problem is solved as a pattern recognition problem, where each reference point is a ... -
Majorana-like Zero Modes in Kekulé Distorted Sonic Lattices
American Physical Society (2019)Topological phases have recently been realized in bosonic systems. The associated boundary modes between regions of distinct topology have been used to demonstrate robust waveguiding, protected from defects by the topology ... -
Managing mechanisms for collaborative new-product development in the ceramic tile design chain
Graz University of Technology, Institut für Informationssysteme und Computer Medien (2011)This paper focuses on improving the management of New-Product Development (NPD) processes within the particular context of a cluster of enterprises that cooperate through a network of intra- and inter-firm relations. ... -
Managing user-generated information in geospatial cyberinfrastructures
Elsevier (2011)Information systems built using standards-based distributed services have become the default computing paradigm adopted by the geospatial community for building information infrastructures also known as Spatial Data ... -
Mapping Frictions Inhibiting Bicycle Commuting
MDPI (2018-10)Urban cycling is a sustainable transport mode that many cities are promoting. However, few cities are taking advantage of geospatial technologies to represent and analyse cycling mobility based on the behavioural patterns ... -
Mapping microarray gene expression data into dissimilarity spaces for tumor classification
Elsevier (2015-02)Microarray gene expression data sets usually contain a large number of genes, but a small number of samples. In this article, we present a two-stage classification model by combining feature selection with the ... -
Mapping the intensity function of a non-stationary point process in unobserved areas
Springer (2022)Seismic networks provide data that are used as basis both for public safety decisions and for scientific research. Their configuration affects the data completeness, which in turn, critically affects several seismological ...