1,720,967 research outputs found
PRESERVATION OF THE HISTORICAL MEMORY: A GIS APPLICATION FOR STUDYING TIME EVOLUTION IN THE ANCIENT QUARRIES IN CISTERNA DI LATINA.
No full textThis work is part of a larger research concerning the discovery and
study of abandoned historical quarries in Southern Lazio, within a
wider national PRIN project: Natural stone resources in the
Mediterranean area from pre-history up to-day: cultural and
technological identity. Integrated sperimentations for knowledge,
conservation and valorisation
The commercial characterization of ornamental stones through the use of multivariate statistics: the roman travertine case study
No full textThe present work regards the commercial characterisation of the roman travertine, an ornamental stone
of great value and ancient tradition, with the aim to define the existing correlations between the
different commercial types and the physical and mineralogical characteristics of the stone; all this in
order to establish an objective criteria for the definition of slab quality and also to conceive a common
methodology for the technical and scientific characterization of the commercial aspects of ornamental
stones. As a matter of fact there is no technical or esthetical method in this field that can objectively
define the quality of the slabs of a certain stone from a commercial point of view.
The slabs of each travertine variety were analysed from a mineralogical point of view and then
aesthetically characterised through image analysis procedures, showing their homogeneity, brightness,
colour index, band pattern and porosity.
All parameters were then processed through the aid of multivariate statistical techniques, in order to
define which of them are more significant in the stone’s esthetical characterisation. By projecting the
system’s variables on the factorial planes of the statistical analysis (MCA), factor F1 seems to be an
index of the mineral composition and of the number of colours, being also able to discriminate among
the various commercial types of roman travertine; F2 represents the average brightness and bands
homogeneity, discriminating at the same time among the commercial quality of the slabs; F3 is an
index for homogeneity, surface porosity, number of colours and it allows an easy discrimination
among the qualities of the investigated typologies.
Variations in the travertine’s commercial types are strongly related to mineral composition (contents
in Sr and Mg), band pattern, brightness and colouring of the slabs. The Classico travertine is
characterised by low tenors of the above mentioned elements, by average brightness and scarce
colouring; the Bianco and the Alabastrino by intermediate tenors and high brightness; Noce and
Striato by high tenors, low brightness and evident colouring.
Discriminations within quality classes in the same commercial typology are instead related to
variations in unhomogeneity, porosity and colouring of the slabs: specifically, an increase in quality
for the different types is directly related to a decrease in these parameters
An innovative method for human height estimation combining video images and 3D laser scanning
No full textDigitalization has increased the number of video surveillance systems that sometimes capture crime images. Traditional methods of human height estimation use projective geometry. However, sometimes they cannot be used because the video camera surveillance system is not available or has been moved and there are no reference lines on the frame. Scientific studies have developed a new method for human height estimation using 3D laser scanning. This model necessarily requires a series of approximations, which increase the final measurement error. To overcome this problem, in the present study, images of a subject are projected directly on the 3D model, estimating the height of the subject. This article describes the methodological approach adopted through the analysis of a real case study in a controlled environment executed by Carabinieri Forensic Investigation Department (Italy). The aim is to obtain a human anthropometric measure derived from frames extracted from the videos associated with the digital survey of the framed area obtained with 3D laser scanning and point cloud analysis. The result is the height estimation of five subjects filmed by a camera obtained through the combination of 2D images extracted by a DVR/surveillance systems with 3D laser scanning. Results show that most estimated measurements are less than the real measurement of the subject; it also depends on the posture of the subject while walking. Furthermore, results shows the differences between the real height and the estimated height with a statistical approach
Re-engineering and Relocation of manufacturing process through a simulative and multicriteria decision model
No full textIn recent years, the trend of several companies is to re-engineer their production processes to make them more efficient and to delocalize production in countries with more favorable economic conditions. This study proposes a multi-criteria and simulation decision-making approach to assess a new production process in order to rank the best Country for production relocation. The methodological approach has been subdivided into several phases and allows to simulate the criticalities of current production and the new production model through the Flexsim Software©. This methodology is applied to a real-world case study provided by a leading Italian
A Bibliometric Multicriteria Model on Smart Manufacturing from 2011 to 2018
No full textThis study reviews the academic literature on Smart Manufacturing from the industry perspective. The methodological approach combines bibliometric analysis and multi criteria decisionmaking models. Firstly, the paper aims to identify the most relevant topics on Smart Manufacturing. Secondly, it aims to weigh them and to define their interdependences. The initial sample consists of 1.498 articles published between the 2011 and 2018. The semi-qualitative analysis returns an objective numerical result useful to define the predominant area on smart manufacturing applications
A multidisciplinary simulation tool for healthcare emergency management
No full textThe aim of this research is to propose a multidisciplinary and integrated solution for healthcare system analysis. The specific goal of the simulation model is the development of an analytical algorithm to support healthcare rescuers to define how to make optimal choices in the face of risk (or uncertainty). The methodological approach integrates three aspects: 1) triage algorithm, to assess patients' condition 2) multicriteria analysis, to define a ranking of hospitals and 3) emergency simulation. Medical staff, through the mathematical application of the triage algorithm, assesses patients' condition by assigning them a severity code. Then, through a multi-criteria approach a ranking of hospitals is defined. Thus, the decision maker can easily find the most suitable hospital where transfer patient. Finally, the model is simulated through Flexsim Software(c). The research tries to overcome the qualitative evaluation that characterize the traditional healthcare models. The model is implemented in a real case study concerning an emergency scenario in a petrochemical plant
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Development a key competitiveness indicators for disaster management
No full textIndustrial organizations are often encouraged to develop proactive and rigorous disaster management practices. Disaster improvements are often very expensive. Thus, industries try to use more and more innovative and effective tools to reduce the disaster risk. The purpose of this study is to identify and prioritize the key competitiveness indicators to develop a model for the analysis of disaster costs using AHP technique
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