Search results for " image."
showing 10 items of 3908 documents
Cross validation of hard-copy and web-based formats of the Sport Imagery Ability Measure
2018
The purpose of this multi-sample study was to examine the psychometric characteristics, factor structure, and measurement invariance of the hard-copy and web-based versions of a measure of sport imagery ability, termed Sport Imagery Ability Measure (SIAM). In the first sample, Spanish athletes (N = 274, 161 men, 113 women, Mage = 21.91, SD = 6.67) completed a hard-copy version of the SIAM. A newly developed web-based version of the SIAM was cross validated in an independent group (N = 266, 147 men, 119 women, Mage = 25.93, SD = 9.84). A small group of participants (n = 16) completed both versions. Exploratory structural equation modelling and confirmatory factor analysis of the data from th…
AR/VR Contextualization of the Statue of Zeus from Solunto
2022
The aim of the research is to test how VR and AR technologies can contribute to a virtuous reconnection between the museums, where archaeological works of art are exhibited, and the sites where these works come from. The connection between the museum and the site will be operated with panoramic images generated with SfM photogrammetric tools; these images will set up a twofold reconnection: i) between the work of art and the building where it was hosted; ii) between the building and the site, with the landscape around. The connection between the site and the museum will be operated with Augmented Reality, through the visualization on site of the works of Art exhibited in the archaeological …
Brand social representations: strategic perspectives for a fitness club
2009
International audience; The aim of this study was to identify an accurate tool to enable fitness club managers to discover those opinions or stereotypes which represent obstacles to joining their organisations. Starting with brand image, the analysis then considered social representations as relevant constructs for apprehending these opinions or prejudices. The use of a word association task and the model of basic cognitive schemes (Rouquette, 1990; 1994) provided access to the salient elements of the social representations of a particular sport brand and the way they are structured. The procedure combining these two stages represented a diagnostic tool for identifying the attractive and un…
il volto della morte: le maschere funerarie della sepoltura dei preti morti di Gangi
2014
riassunto — Le mummie moderne e il signifcato recondito della doppia sepoltura nelle culture mediterranee moderne sono da tempo ampiamente dibattuti. In questo lavoro si discute di una particolare “collezione” di corpi di ecclesiastici, mummifcati ed esposti in un comune montano madonita della Sicilia, Gangi. I corpi, principalmente risalenti al XIX secolo, mummifcati per colatura come nella tradizione del tempo e vestiti degli abiti talari, sono esposti nel piano sottostante della Chiesa Madre, in quella che nella tradizione è detta la “fossa dei parrini” (fossa dei preti). Le mummie, a differenza di altri siti siciliani e mediterranei, sono altresì corredate di sonetto commemorativo e di …
Automatic surrogate modelling technique selection based on features of optimization problems
2019
A typical scenario when solving industrial single or multiobjective optimization problems is that no explicit formulation of the problem is available. Instead, a dataset containing vectors of decision variables together with their objective function value(s) is given and a surrogate model (or metamodel) is build from the data and used for optimization and decision-making. This data-driven optimization process strongly depends on the ability of the surrogate model to predict the objective value of decision variables not present in the original dataset. Therefore, the choice of surrogate modelling technique is crucial. While many surrogate modelling techniques have been discussed in the liter…
Synchrotron x-ray transmission measurements and modeling of filters investigated for Athena
2020
International audience; Advanced Telescope for High-Energy Astrophysics is a large-class astrophysics space mission selected by the European Space Agency to study the theme "Hot and Energetic Universe." The mission essentially consists of a large effective area x-ray telescope and two detectors: the X-ray Integral Field Unit (X-IFU) and the Wide Field Imager (WFI). Both instruments require filters to shield from out-of-band radiation while providing high transparency to x-rays. The mission is presently in phase B; thus, to consolidate the preliminary design, investigated filter materials need to be properly characterized by experimental test campaigns. We report results from high-resolution…
Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system
2017
We tackle three different challenges in solving a real-world industrial problem: formulating the optimization problem, connecting different simulation tools and dealing with computationally expensive objective functions. The problem to be optimized is an air intake ventilation system of a tractor and consists of three computationally expensive objective functions. We describe the modeling of the system and its numerical evaluation with a commercial software. To obtain solutions in few function evaluations, a recently proposed surrogate-assisted evolutionary algorithm K-RVEA is applied. The diameters of four different outlets of the ventilation system are considered as decision variables. Fr…
Anomaly detection approach to keystroke dynamics based user authentication
2017
Keystroke dynamics is one of the authentication mechanisms which uses natural typing pattern of a user for identification. In this work, we introduced Dependence Clustering based approach to user authentication using keystroke dynamics. In addition, we applied a k-NN-based approach that demonstrated strong results. Most of the existing approaches use only genuine users data for training and validation. We designed a cross validation procedure with artificially generated impostor samples that improves the learning process yet allows fair comparison to previous works. We evaluated the methods using the CMU keystroke dynamics benchmark dataset. Both proposed approaches outperformed the previou…
Biomass estimator for NIR image with a few additional spectral band images taken from light UAS
2012
A novel way to produce biomass estimation will offer possibilities for precision farming. Fertilizer prediction maps can be made based on accurate biomass estimation generated by a novel biomass estimator. By using this knowledge, a variable rate amount of fertilizers can be applied during the growing season. The innovation consists of light UAS, a high spatial resolution camera, and VTT's novel spectral camera. A few properly selected spectral wavelengths with NIR images and point clouds extracted by automatic image matching have been used in the estimation. The spectral wavelengths were chosen from green, red, and NIR channels.
DOBRO : a prediction error correcting robot under drifts
2016
We propose DOBRO, a light online learning module, which is equipped with a smart correction policy helping making decision to correct or not the given prediction depending on how likely the correction will lead to a better prediction performance. DOBRO is a standalone module requiring nothing more than a time series of prediction errors and it is flexible to be integrated into any black-box model to improve its performance under drifts. We performed evaluation in a real-world application with bus arrival time prediction problem. The obtained results show that DOBRO improved prediction performance significantly meanwhile it did not hurt the accuracy when drift does not happen.