Search results for "Statistical Analysis"
showing 10 items of 390 documents
Drosophila-inspired visual orientation model on the Eye-Ris platform: Experiments on a roving robot
2011
Behavioral experiments on fruit flies had shown that they are attracted by near objects and they prefer front-to-back motion. In this paper a visual orientation model is implemented on the Eye-Ris vision system and tested using a roving platform. Robotic experiments are used to collect statistical data regarding the system behaviour: followed trajectories, dwelling time, distribution of gaze direction and others strictly resembling the biological experimental setup on the flies. The statistical analysis has been performed in different scenarios where the robot faces with different object distribution in the arena. The acquired data has been used to validate the proposed model making a compa…
An assessment of the state of grain mixture with the use of the method of statistical reduction
1995
Abstract A new way of assessment of the state of a granular mixture is presented in this paper. It is based on the method of statistical reduction and it enables a more precise assessment to be made of the state of a grain mixture as compared with other methods, especially when the mixture represents a large population. The new method is illustrated by a computational example.
A statistic approach of cables ageing in MV lines on thermal and electrical combined stress
2006
The paper introduces a methodology that through a probabilistic characterisation of load for MV network, and implementing a life model for combined electric and thermal stresses, simulates the process of ageing of the insulating materials evaluating the expected life time of the cable. Such evaluation is necessary to the possibility of assuming less restrictive thermal overloading limits on electrical cables, with the consequential increase on reserve that cables could offer. A numerical example is reported to better explain the methodology
Factors influencing automobile firms eco-innovation orientation
2014
[EN] An eco-innovation is any innovation that reduces environmental damage. Even though eco-innovating is a key trend in industry today, relatively little research has been conducted on its implications for the automobile industry. In this article, the attitude toward the environment while innovating is analyzed using the SEM (Structural Equation Model) technique, applied to a data set of 223 Spanish automotive companies. Results of a statistical analysis with this data set show that companies which focus on processes and products when innovating tend to be more environmentally oriented and tend to highlight the importance of information sources more than those which do not have a focus on …
Efficiency and Productivity of Italian Tourist Destinations: A Quantitative Estimation Based on Data Envelopment Analysis and the Malmquidt Method
2006
This paper aims to provide a statistical analysis of the relative economic performance of Italian tourist areas. It uses two modelling approaches to estimate the competitiveness of these regions, viz. data envelopment analysis (DEA) and the Malmquist method. Our results show that the competitiveness position of several Italian regions has not improved over the years under consideration.
Efficiency and Productivity of Italian Touris Destinations: A Quantitative Estimation Based on Data Envelopment Analysis and the Malmquist Method
2007
This paper aims to provide a statistical analysis of the relative economic performance of Italian tourist areas. It uses two modelling approaches to estimate the competitiveness of these regions, viz. data envelopment analysis (DEA) and the Malmquist method. Our results show that the competitiveness position of several Italian regions has not improved over the years under consideration.
Sheep habit during hand milking, and relations between the incorrect hand milking procedure and mammary health
2023
This study aimed: (1) to evaluate the relation between the incorrect hand milking and mammary health; (2) to test the hypothesis of the ewe habit in the workstation, of their choice, during the milking. Teat moisturization with foam milk collected from the milk tank represents a high-risk factor because potentially contain mastitis-causing bacteria previously released from affected ewes. Moreover, it was found that sheep are routinary animals by habit during hand milking.
Fluorescence fingerprinting of bottled white wines can reveal memories related to sulfur dioxide treatments of the must.
2015
For the first time, Excitation Emission Matrix (EEM) fluorescence spectroscopy was combined with parallel factor statistical analysis (PARAFAC) and applied to a set of 320 dry white wines of the Chardonnay grape variety. A four component PARAFAC model (C1, C2, C3 and C4) best explained the variability of fluorescence signatures of white wines. Subtle changes were observed in EEMs of white wines from two different vintages (2006 and 2007), where different concentrations of sulfur dioxide (0, 4, and 8 g·hL(-1)) were added to the grape must at pressing. PARAFAC results clearly indicated that sulfur dioxide added to the must subsequently influenced white wine chemistry into three distinct sulfu…
A ATIVIDADE FÍSICA REPRESENTADA NOS LIVROS DIDÁTICOS DA EDUCAÇÃO FÍSICA NA EDUCAÇÃO PRIMÀRIA
2019
El objetivo de este estudio es analizar la representación de la actividad física que aparece en los libros de texto de Educación Física y su relación con los diferentes bloques de contenidos del área, en Educación Primaria. La muestra estuvo formada por un total de 3836 imágenes publicadas en 34 libros de texto pertenecientes a seis editoriales españolas, entre 2006 y 2013. La técnica de investigación fue el análisis de contenido mediante la herramienta SAIMEF. Para el análisis estadístico se utilizó el software SPSS 22.0. Los resultados muestran un claro predominio del bloque de contenidos de los “juegos y actividades deportivas”. Este desequilibrio en la representación de los bloques no r…
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data
2021
There are multiple papers published about different AI models for the COVID-19 diagnosis with promising results. Unfortunately according to the reviews many of the papers do not reach the level of sophistication needed for a clinically usable model. In this paper I go through multiple review papers, guidelines, and other relevant material in order to generate more comprehensive requirements for the future papers proposing a AI based diagnosis of the COVID-19 from chest X-ray data (CXR). Main findings are that a clinically usable AI needs to have an extremely good documentation, comprehensive statistical analysis of the possible biases and performance, and an explainability module.