Search results for " Soft"
showing 10 items of 1710 documents
Use of Geospatial Analyses for Semantic Reasoning
2010
International audience; This work focuses on the integration of the spatial analyses for semantic reasoning in order to compute new axioms of an existing OWL ontology. To make it concrete, we have defined Spatial Built-ins, an extension of existing Built-ins of the SWRL rule language. It permits to run deductive rules with the help of a translation rule engine. Thus, the Spatial SWRL rules are translated to standard SWRL rules. Once the spatial functions of the Spatial SWRL rules are computed with the help of a spatial database system, the resulting translated rules are computed with a reasoning engine such as Racer, Jess or Pellet.
Vissuti di futuri maestri in tempo pandemico, fra realtà e aspettative
2022
Il presente contributo intende mostrare alcuni risultati di una ri- cerca-intervento rivolta agli insegnanti in formazione. In linea con le più recenti ricerche sulla condizione giovanile, si è inteso inda- gare i vissuti degli studenti in tempo pandemico, per coglierne bi- sogni educativi ed aspettative professionali. La ricerca, di stampo fenomenologico, è stata progettata e condotta a distanza in occa- sione del percorso laboratoriale previsto per il Corso di Studi in Scienze della Formazione Primaria di Palermo e di Agrigento, du- rante l’anno accademico 2021/2022 per la cattedra di Pedagogia Generale e ha visto coinvolti 224 fra studenti e studentesse. L’in- tento è stato quello di las…
Pitfalls in Remote Team Coordination: Lessons Learned from a Case Study
2008
As companies become more and more distributed, multi-site development is becoming a norm. However along with the new opportunities, geographic distribution is proven to increase the complexity of software engineering introducing challenges for remote team communication, coordination and control. In this article we present an illustrative singe-case study with an intra-organizational intra-national context focussing on the effect of geographic distribution on team coordination practices and how this influences remote team performance. Based on our findings we conclude that a) distribution significantly influences the nature of coordination; b) remote team coordination mechanisms can't be cho…
Potencialidades de Google Maps en la investigación social aplicada
2019
In recent years, Google has devoted resources to build a complete map of the world. They constantly scan the territory, collecting a large amount of data that provides updated and complete geographic information. This allows us to have an interoperable map that provides the end user with a search tool, not only of routes but also of shops, equipment and any type of geo-referenced information. In addition, Google Maps provides a series of Application Programming Interface (API), which provides a library of set of subroutines, functions and procedures (in object-oriented programming) that can be used by other software to automate the extraction of information of the Google platform. These fre…
Design of Photovoltaic System for Rural Electrification in Rwanda
2017
Master's thesis Renewable Energy ENE500 - University of Agder 2017 In this century of accelerated development in various domains, some African countries are still facing a challenge of lack of power due to its scarce in some places, where by the main source of power (generation of electricity) is hydro since thermal and fuel are still on a small scale. This problem results in less productivity and economic decline of some countries like Rwanda which is among African countries that are at a very high speed in development, the grid lines from distant places are stack and they are few compared to the need of electricity in all corners of the country, especially in rural areas whereby each hous…
Outdoor Scenes Pixel-wise Semantic Segmentation using Polarimetry and Fully Convolutional Network
2019
International audience; In this paper, we propose a novel method for pixel-wise scene segmentation application using polarimetry. To address the difficulty of detecting highly reflective areas such as water and windows, we use the angle and degree of polarization of these areas, obtained by processing images from a polarimetric camera. A deep learning framework, based on encoder-decoder architecture, is used for the segmentation of regions of interest. Different methods of augmentation have been developed to obtain a sufficient amount of data, while preserving the physical properties of the polarimetric images. Moreover, we introduce a new dataset comprising both RGB and polarimetric images…
Therapeutische Strategien bei malignen Weichteiltumoren
2001
Einleitung: Ziel einer Weichteiltumor-Registerstudie der Chirurgischen Arbeitsgemeinschaft Onkologie (CAO) der Deutschen Gesellschaft fur Chirurgie war die Erfassung der Behandlungsstrategien bei malignen Weichteiltumoren des Erwachsenen. Methodik: In 19 Monaten wurden Daten von 292 Patienten von 99 chirurgischen Kliniken Deutschlands nach einem speziell entwickelten Dokumentationsbogen prospektiv zur pratherapeutischen Biopsie, Vorbehandlung, definitiven chirurgischen Therapie, zu multimodalen Masnahmen und zum pathohistologischen Befund erhoben. Ergebnisse: 39 % der Tumoren wurden in Universitatskliniken, 36 % in Schwerpunktkrankenhausern und 24 % in Krankenhausern der Grundversorgung beh…
Identifying objectives for a learning space management system with value-focused thinking
2017
A classroom with a blackboard and some rows of desks is obsolete in special education. Depending on the needs, some students may need more tactile and inspiring surroundings with various pedagogical accessories while others benefit from a simplified environment without unnecessary stimuli. This understanding is applied to a new Finnish special education school building with open and adaptable learning spaces. We have joined the initiative creation process by developing software support for these new spaces in the form of a learning space management system. Participatory design and value-focused thinking were implemented to elicit the actual values of all the stakeholders involved and transf…
CArDIS : A Swedish Historical Handwritten Character and Word Dataset
2022
This paper introduces a new publicly available image-based Swedish historical handwritten character and word dataset named Character Arkiv Digital Sweden (CArDIS) (https://cardisdataset.github.io/CARDIS/). The samples in CArDIS are collected from 64, 084 Swedish historical documents written by several anonymous priests between 1800 and 1900. The dataset contains 116, 000 Swedish alphabet images in RGB color space with 29 classes, whereas the word dataset contains 30, 000 image samples of ten popular Swedish names as well as 1, 000 region names in Sweden. To examine the performance of different machine learning classifiers on CArDIS dataset, three different experiments are conducted. In the …
Reference density trends in the major disciplines
2018
Abstract The aim of this study was to determine whether different areas of knowledge presented different behaviour with regard to the number of references cited per journal document or if, conversely, they shared the same reference density practices. Bibliometric and bibliographic data were collected from 27,141 journals (indexed between 2001 and 2015 in the SCImago Journal & Country Rank (SJR)) and the growth rates in reference density and number of documents and journals in each category were calculated at different levels of aggregation. Our analysis identified that (a) mean reference density values in some Social Sciences and Arts and Humanities categories were equal to or higher than t…