Search results for " MODELLI"

3D survey and modelling of the main portico of the Cathedral of Monreale

2018

3D survey and modelling of Cultural Heritage allow to store a great deal of 3D data that can be managed for different purposes. 3D models can be used for documentation, restoration and knowledge of historic architectures and monuments. In this work, a 3D survey of the main portico of the Cathedral of Monreale (Palermo, Italy) was carried out. The paper presents the data acquisition process and the 3D modelling phase. The work is aimed to reconstruct a 3D model that could be used also to set up an HBIM (Heritage or Historic Building Information Modelling) of the main portico. The result of this study could be considered as a first test to implement an HBIM platform for the whole monumental c…

Quantifying and Processing Biomedical and Behavioral Signals

2019

PASSENGER SATISFACTION WITH HYBRID ELECTRIC BUS SERVICE IN NORWAY : A PLS Structural Equation Modelling Approach

2019

Master's thesis Business Administration BE501 - University of Agder 2019 The use of hybrid electric buses (HEBs) in public transit is one of the global attention received topics in this 21st century because of its environment friendly nature. This study focusses on effect of bus service quality dimensions such as bus driver's quality, bus tangible and empathy to determine customer satisfaction level of bus service in Kristiansand region. Structural equation model is used for an empirical investigation to find out the association of perceived bus service quality dimensions with word of mouth mediated by perceived value and customer satisfaction. A total of 276 valid university student respon…

IMI – Oral biopharmaceutics tools project – Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with…

2020

Oral drug absorption is a complex process depending on many factors, including the physicochemical properties of the drug, formulation characteristics and their interplay with gastrointestinal physiology and biology. Physiological-based pharmacokinetic (PBPK) models integrate all available information on gastro-intestinal system with drug and formulation data to predict oral drug absorption. The latter together with in vitro-in vivo extrapolation and other preclinical data on drug disposition can be used to predict plasma concentration-time profiles in silico. Despite recent successes of PBPK in many areas of drug development, an improvement in their utility for evaluating oral absorption i…

Detection, characterization and sizing of hydrogen induced cracking in pressure vessels using phased array ultrasonic data processing

2016

Abstract Pressure vessels operating in sour service conditions in refinery environments can be subject to the risk of H₂S cracking resulting from the hydrogen entering into the material. This risk, which is related to the specific working conditions and to the quality of the steel used, shall be properly managed in order to maintain the highest safety at a cost-effective level. Nowadays the typical management strategy is based on a risk based inspection (RBI) evaluation to define the inspection plan used in conjunction with a fitness for service (FFS) approach in defining if the vessel, although presenting dangerous defects such as cracks, can still be considered “fit for purpose” for a giv…

MDA: a MATLAB-based program for morphospace-disparity analysis

2003

A MATLAB® program that examines patterns of state-space occupation is described. Four subroutines are available with which to visualize morphospace patterns: (i) in terms of their features such as dispersion, aggregation and location, thereby allowing users to extract complementary quantitative information about how the state-space is structured, and (ii) in terms of changes in those patterns that can be compared with other biotic (e.g., extinction, origination rates) or abiotic (e.g., environmental proxy) information. The program incorporates many of the latest and most widely used statistical parameters for describing multivariate spaces. The parameters are estimated on the basis of boots…

Computer Vision Tools for 3D Modelling in Archaeology

2013

In archaeological Cultural Heritage study 3D modelling has become a very useful process to obtain indispensable data for documentation and visualization. Nowadays the continuous request to achieve photorealistic 3D models has led to testing different techniques and methodologies to speed up both data acquisition and the data processing phase. There are many examples of surveys conducted with the use of range-based and image-based techniques, but, in the last few years, the scientific research has been increasingly moving towards automatic procedures using Computer Vision approach to reduce time during data processing. Computer Vision approach offers a great opportunity for archaeological su…

Towards a new generation of high-resolution meteorological input data for small-scale hydrologic modeling

2011

Summary Current and future challenges of hydrologic sciences are to accurately predict and assess climate-driven impacts on water resources for the relevant scales of planning. However, process-based small-scale hydrologic modeling is data demanding and large uncertainties exist in data-sparse areas. The aim of our study was to test the applicability of the COSMO-DE analysis data (COSMO-DE-A) for hydrologic modeling. COSMO-DE-A data are a new meteorological data set with high temporal and spatial resolution that originates from the German Weather Service data assimilation system using the COSMO-DE weather prediction model. We collected field parameters in a small (10 km 2 ) mountainous catc…

Comparing binary logistic regression and stochastic gradient boosting techniques in debris-flows susceptibility modelling: application in North-Easte…

2013

Multivariate Gaussian criteria in SMAA

2006

Abstract We consider stochastic multicriteria decision-making problems with multiple decision makers. In such problems, the uncertainty or inaccuracy of the criteria measurements and the partial or missing preference information can be represented through probability distributions. In many real-life problems the uncertainties of criteria measurements may be dependent. However, it is often difficult to quantify these dependencies. Also, most of the existing methods are unable to handle such dependency information. In this paper, we develop a method for handling dependent uncertainties in stochastic multicriteria group decision-making problems. We measure the criteria, their uncertainties and…