Search results for "Data Science"

FROM SURVEY TO MODEL, AND RETURN. THE CASE OF THE PARMA BAPTISTERY

2019

Abstract. Although this is not always the common practice, the survey should be an essential preliminary stage to any operation of restoration, enhancement and promotion of cultural heritage. Today, various surveying techniques make it possible to collect large amounts of data quickly and to provide a complete three-dimensional representation of extremely complex artefacts. In fact, 3D models allow a much richer description than traditional 2D representations. However, these survey techniques (laser scanner and photogrammetry above all) necessarily imply that the data that must be elaborated during the processing phase increase dramatically. It is therefore essential to identify methods and…

3D DIGITAL MODELS FOR A WIDESPREAD MUSEUM: THE RENON’S “BAUERNHÖFE”

2019

Abstract. The aim of the paper is to study the characteristics of different 3D digital models (point clouds, mesh, CSG, BIM) for the realization of a museum of historical buildings widespread in the territory of South Tyrol through the 3D modeling of several farmhouses between the towns of Collalbo, Longomoso and Siffiano, in the Renon area. Therefore, moving from a defined case study, the paper proposes a workflow for model choice, use, and sharing considering also users profile.The objective is to create a system that allows, the sharing, both on site and remotely, of farmhouses digital models, information, images and documents found during the research. The purpose is to enhance the terr…

CHIMERA: A BIM+GIS SYSTEM FOR CULTURAL HERITAGE

2020

Abstract. In the last years, many researches are conducted on systems for Cultural Heritage, trying to adapt BIM systems to CH needs; furthermore, the interest around the integration of BIM systems and GIS systems spreads. Chimera, presented in this paper, is the final product of about 8 years of research on this broad topic and has been specifically conceived for the realm of CH. It joins the small group of ready-to work information systems that allow the concurrently use of different integrated data, as 3D models, point clouds but also 2D maps or images. It also presents different functionalities that allow to work at a multiscale approach, including switching from a “single object level”…

SOFTWARE FRAMEWORK FOR HYPERSPECTRAL DATA EXPLORATION AND PROCESSING IN MATLAB

2018

Abstract. This paper presents a user introduction and a general overview of the MATLAB software package hsicube developed by the author for simplifying the data manipulation and visualization tasks often encountered in hyperspectral analysis work, and the design principles and software development methods used by the author. The framework implements methods for slicing, masking, visualization and application of existing functions to hyperspectral data cubes without the need to use explicit indexing or reshaping, as well as enabling expressive syntax for combining these operations on the command line for highly efficient data analysis workflows. It also includes utilities for interfacing wit…

Automatic knowledge discovery from sparse and large-scale educational data : case Finland

2017

The Finnish educational system has received a lot of attention during the 21st century. Especially, the outstanding results in the first three cycles of the Programme for International Student Assessment (PISA) have made Finland’s education system internationally famous, and its unique characteristics have been under active research by various, predominantly educational, scholars since then. However, despite the availability of real but often sparse big data sets that would allow more evidence-based decision making, existing research to date has mostly concentrated on using classical qualitative and (univariate) quantitative methods. This thesis discusses, in general terms, knowledge discove…

Epidemiological Information Systems

2008

Editorial for the Special Issue “Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions”

2019

This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.

Cost Of Multimorbidity: The Influence Of Ambulatory Pharmaceutical And Hospital Expenditure.

2015

Nutritional self-care among a group of older home-living people in rural Southern Norway

2015

Bjørg Dale, Ulrika SöderhamnCentre for Caring Research – Southern Norway, Faculty of Health and Sport Sciences, University of Agder, Grimstad, NorwayBackground: Older home-living people are an at-risk group for undernutrition, particularly those who are living alone. Lack of knowledge about healthy dietary habits, altered taste sensation, and declined health status are shown to be some of the factors related to undernutrition. The aims of this study were to explore how a small group of older people in Southern Norway perceived their nutritional self-care.Methods: An exploratory qualitative approach, combined with a simple self-report questionnaire, was used. Fi…

About time

2019

Purpose The purpose of this paper seeks to develop a motivation-based complementary framework for temporally dynamic user preferences to facilitate optimal timing in web personalisation. It also aims to highlight the benefits of considering user motivation when addressing issues in temporal dynamics. Design/methodology/approach Through theory, a complementary framework and propositions for motivation-based temporal dynamics for further testing are created. The framework is validated by feeding back findings, whereas some of the propositions are validated through an experiment. Findings The suggested framework distinguishes two ways (identifying/learning and shifting) of using a motive-base…