Search results for "dolo"
showing 10 items of 4274 documents
Ant Colony Models for a Virtual Educational Environment Based on a Multi-Agent System
2008
We have designed a virtual learning environment where students interact through their computers and with the software agents in order to achieve a common educational goal. The Multi-Agent System (MAS) consisting of autonomous, cognitive and social agents communicating by messages is used to provide a group decision support system for the learning environment. Learning objects are distributed in a network and have different weights in function of their relevance to a specific educational goal. The relevance of a learning object can change in time; it is affected by students', agents' and teachers' evaluation. We have used an ant colony behavior model for the agents that play the role of a tu…
Identification of Explanatory Variables in Possession of the Ball in High-Performance Women’s Football
2021
[Abstrac] Women’s football is a phenomenon that is experiencing an unstoppable increase in recent years. The objective of this study was to analyze how ball possessions are performed in highperformance women’s football. For this, the 52 matches played by all the national teams participating in the Women’s World Cup 2015 were analyzed. A total of 3740 ball possessions were examined. Using the “move outcome” variable as a reference criterion, a statistically significant relationship was found between possessions that ended in success and possessions that have failed. Specifically, the successful possessions were those that were made in the offensive zone, with a clear intention to progress to…
Registered nurses' clinical reasoning in home healthcare clinical practice: A think-aloud study with protocol analysis.
2016
Abstract Background The home healthcare context can be unpredictable and complex, and requires registered nurses with a high level of clinical reasoning skills and professional autonomy. Thus, additional knowledge about registered nurses' clinical reasoning performance during patient home care is required. Objectives The aim of this study is to describe the cognitive processes and thinking strategies used by recently graduated registered nurses while caring for patients in home healthcare clinical practice. Design An exploratory qualitative think-aloud design with protocol analysis was used. Settings Home healthcare visits to patients with stroke, diabetes, and chronic obstructive pulmonary…
Towards a Holistic Methodology in Sustainable Retrofitting: Theory, Implementation and Application
2017
Sustainability paradigm foresees a balance of energy production and consumption with no, or minimal, negative impact on environment (within the environmental tolerance limits). It gives an opportunity to a country to employ its potentiality of the social and economic activities. An overview of recent researches about building renovation context demonstrates the lack of an appropriate methodology and decision support framework -by compounding the typical challenges of sustainable retrofitting from theory to implement stages- that takes into account the retrofitting projects throughout more comprehensive insights and perspectives. It calls, therefore, for a deep building renovation approach. …
A sentence based system for measuring syntax complexity using a recurrent deep neural network
2018
In this paper we present a deep neural network model capable of inducing the rules that identify the syntax complexity of an Italian sentence. Our system, beyond the ability of choosing if a sentence needs of simplification, gives a score that represent the confidence of the model during the process of decision making which could be representative of the sentence complexity. Experiments have been carried out on one public corpus created specifically for the problem of text-simplification.
A recurrent deep neural network model to measure sentence complexity for the Italian Language
2019
Text simplification (TS) is a natural language processing task devoted to the modification of a text in such a way that the grammar and structure of the phrases is greatly simplified, preserving the underlying meaning and information contents. In this paper we give a contribution to the TS field presenting a deep neural network model able to detect the complexity of italian sentences. In particular, the system gives a score to an input text that identifies the confidence level during the decision making process and that could be interpreted as a measure of the sentence complexity. Experiments have been carried out on one public corpus of Italian texts created specifically for the task of TS…
Gli effetti dell’incendio sulla morfologia dei suoli nell’area Vaccheria (Collesano – PA)
2013
A wavelet-based demosaicking algorithm for embedded applications
2010
This paper presents an alternative to the spatial reconstruction of the sampled color filter array acquired through a digital image sensor. A demosaicking operation has to be applied to the raw image to recover the full-resolution color image. We present a low-complexity demosaicking algorithm processing in the wavelet domain. Produced images are available at the output of the algorithm either in the spatial representation or directly in the wavelet domain for high-level post processing in the latter domain. Results show that the computational complexity has been lowered by a factor of five compared to state of the art demosaicking algorithms.
Denoising 3D Models with Attributes using Soft Thresholding
2004
International audience; Recent advances in scanning and acquisition technologies allow the construction of complex models from real world scenes. However, the data of those models are generally corrupted by measurement errors. This paper describes an efficient single pass algorithm for denoising irregular meshes of scanned 3D model surfaces. In this algorithm, the frequency content of the model is assessed by a multiresolution analysis that requires only 1-ring neighbourhood without any particular parameterization of the model faces. Denoising is achieved by applying the soft thresholding method to the detail coefficients given by the multiresolution analysis. Our method is suitable for irr…