Search results for "STIMA"
showing 10 items of 1809 documents
Wind component estimation for UAS flying in turbulent air
2019
One of the most important problem of autonomous flight for UAS is the wind identification, especially for small scale vehicles. This research focusses on an identification methodology based on the Extended Kalman Filter (EKF). In particular authors focus their attention on.the filter tuning problem. The proposed procedure requires low computational power, so it is very useful for UAS. Besides it allows a robust wind component identification even when, as it is usually, the measurement data set is affected by noticeable noises. (C) 2019 Elsevier Masson SAS. All rights reserved.
Algebraic parameter estimation of a multi-sinusoidal waveform signal from noisy data
2013
International audience; In this paper, we apply an algebraic method to estimate the amplitudes, phases and frequencies of a biased and noisy sum of complex exponential sinusoidal signals. Let us stress that the obtained estimates are integrals of the noisy measured signal: these integrals act as time-varying filters. Compared to usual approaches, our algebraic method provides a more robust estimation of these parameters within a fraction of the signal's period. We provide some computer simulations to demonstrate the efficiency of our method.
Algebraic parameter estimation of a biased sinusoidal waveform signal from noisy data
2012
International audience; The amplitude, frequency and phase of a biased and noisy sum of two complex exponential sinusoidal signals are estimated via new algebraic techniques providing a robust estimation within a fraction of the signal period. The methods that are popular today do not seem able to achieve such performances. The efficiency of our approach is illustrated by several computer simulations.
Visual saliency detection in colour images based on density estimation
2017
International audience; A simple and effective method for visual saliency detection in colour images is presented. The method is based on the common observation that local salient regions exhibit distinct geometric and and texture patterns from neighbouring regions. We model the colour distribution of local image patches with a Gaussian density and measure the saliency of each patch as the statistical distance from that density. Experimental results with public datasets and comparison with other state-of-the-art methods show the effectiveness of our method.
Outward Investments and Productivity: Evidence from European Regions
2016
Castellani D. and Pieri F. Outward investments and productivity: evidence from European regions, Regional Studies. Using a novel data set on international investment projects, this paper builds measures of outward foreign direct investments (FDIs) for 262 regions of the European Union. This allows as estimation to be made of regressions of productivity growth over the 2007–11 period as a function of the number of FDIs. The number of outward FDIs in manufacturing activities is negatively associated with productivity growth in the home region, but investments in sales, distribution and marketing are associated with a boost in local productivity. This is driven especially by investments toward…
Selection of time windows in the horizontal-to-vertical noise spectral ratio by means of cluster analysis
2016
The selection of the elementary analysis windows in continuous noise recordings for optimal estimation of the mean horizontal‐to‐vertical spectral ratio (HVSR) curve is generally performed by visual inspection of HVSR curves considered as functions of time. Starting from full‐length records, HVSR curves are determined in consecutive time windows of appropriate lengths. Time windows with HVSR curves that are anomalous on the basis of a simple visual inspection are generally ignored in the computation of the average HVSR curve. It is often very difficult to optimize the selection of time windows to be used for the calculation of the HVSR curve representative of a site. The use of nonobjective…
Performance Estimation using the Fitness-Fatigue Model with Kalman Filter Feedback
2016
Abstract Tracking and predicting the performance of athletes is of great interest, not only in training science but also, increasingly, for serious hobbyists. The increasing availability and use of smart watches and fitness trackers means that abundant data is becoming available, and the interest to optimally use this data for performance tracking and training optimization is great. One competitive model in this domain is the 3-time-constant fitness-fatigue model by Busso based on the model by Banister and colleagues. In the following, we will show that this model can be written equivalently as a linear, time-variant state-space model. With this understanding, it becomes clear that all meth…
EL PAPEL DE LA AUTOESTIMA EN LA PREVENCIÓN DEL VIH DE JÓVENES ESPAÑOLES
2017
Abstract.THE ROLE OF SELF-ESTEEM IN HIV PREVENTION AMONG SPANISH YOUNG PEOPLE SELF-ESTEEM INFLUENCES ON SEXUAL DEVELOPMENT AND RELATIONSHIPS OF YOUNG PEOPLE.Aims to examine the effects of the self-esteem on HIV prevention, 467 young people from the Valencian Community (Mage = 20.62; SD = 2.14) completed the Rosenberg Self-esteem Scale and the Aids Prevention Questionnaire by Ballester et al. (2007). Results showed statistically significant positive correlation between self-esteem and self-efficacy in condom use (p = .000), perceived competence (p = .041) or number of sexual partners (p = .001). On the other hand, statistically significant negative correlation were found between solidarity t…
Stature and long-term labor market outcomes: Evidence using Mendelian randomization.
2017
We use the Young Finns Study (N = ∼2000) on the measured height linked to register-based long-term labor market outcomes. The data contain six age cohorts (ages 3, 6, 9, 12, 15 and 18, in 1980) with the average age of 31.7, in 2001, and with the female share of 54.7. We find that taller people earn higher earnings according to the ordinary least squares (OLS) estimation. The OLS models show that 10 cm of extra height is associated with 13% higher earnings. We use Mendelian randomization, with the genetic score as an instrumental variable (IV) for height to account for potential confounders that are related to socioeconomic background, early life conditions and parental investments, which ar…
Improving tumour budding evaluation in colon cancer by extending the assessment area in colectomy specimens.
2019
AIMS It is recommended that tumour budding in colon cancer be counted on haematoxylin and eosin-stained sections in a hotspot area of 0.785 mm2 with a ×20 microscope objective. However, tumour buds may be difficult to visualise on haematoxylin and eosin-stained sections, and counting in such a limited area may result in overestimation in cases with focal budding. The aim of this study was to assess the contributions of various factors to improving tumour budding risk stratification: increasing the number of fields counted, using cytokeratin immunostaining, and recording proliferation, the apoptotic index and the emperipoletic index in tumour buds. METHODS AND RESULTS We created an explorato…