Search results for "artificial intelligence"
showing 10 items of 6122 documents
The impact of user’s availability on On-line Ego Networks: a Facebook analysis
2016
We have defined and implemented a Facebook application to log a Facebook dataset.We have studied and validated the structural properties of the whole dataset and of the Dunbar ego networks.We have analyzed the interactions of the users.The availability of the users in the Dunbar ego networks have been investigated.Our results reveal the presence of the temporal homophily property in the Dunbar ego networks. Online Social Networks (OSNs) are the most popular applications in todays Internet and they have changed the way people interact with each other. Understanding the structural properties of OSNs and, in particular, how users behave when they connect to OSNs is crucial for designing user-c…
Robotics Studies in Europe
2012
This paper describes the organization and teaching methodologies for mechanics and robotics related subjects in the European Erasmus Mundus master programmes EMARO (European master in Advanced Robotics), and VIBOT (master courses in VIsion & roBOTics). The structure of these masters is overviewed, the experience in designing and managing them is outlined and we point out the common effort for a global reach of these programmes and to build a transnational teaching architecture.
Contributions Regarding the Utilization of Neural Networks in SME's Management
2014
Due to the fact that there isnt a clear definition of the terms neural network" and "neuronal network" [1,2], the current paper aims to establish it by a range of comparative research. With the help of some charts, based on the structure of some SMEs (Small and Medium Enterprises), the parts that define the structure of the neuron will be compared with the general structure of an organization, in order to reproduce the neuron in the structuring level of an organization and give a meaning to the term of "organizational neuron. Sometimes it is necessary to take managerial decisions under uncertainty and / or risk, so any method that gives forecasting information to the manager is welcome [3,4…
"Towards a "fingerprint" of paper network; separating forgeries from genuine by the properties of fibre structure"
2014
A novel method is introduced for distinguishing counterfeit banknotes from genuine samples. The method is based on analyzing differences in the networks of paper fibers. The main tool is a curvelet-based algorithm for measuring the distribution of overall fiber orientation and quantifying its anisotropy. The use of a couple or more appropriate parameters makes it possible to distinguish forgeries from genuine samples as concentrated point clouds in a two- or three-dimensional parameter space. Furthermore, the techniques of making watermarks is investigated by comparing genuine and counterfeit €50 banknotes. In addition, the so-called wire markings are shown to differ significantly from each…
Process Drama Based Information Management for Assessment and Classification in Learning
2013
In this chapter we present a formal description of information management for assessment and classification in learning. The description is supported by a structure related to drama process for learning. Our logic follows the idea of invoking uncertainties using underlying categories, and the language of processes in ‘drama process’ is taken to be BPMN (Business Process Modelling Notation).
Can Artificial Intelligence Interprete Legal Norms? A Problem of Practical Reason
2021
La formalización del razonamiento jurídico y, específicamente, de la interpretación es un viejo sueño de nuestra cultura. Hoy, la Inteligencia Artificial parece lista para cumplir esa tarea. Teóricos computacionales y lógicos están desarrollando herramientas técnicas para estructurar modelos formales de interpretación jurídica útiles para la Inteligencia Artificial. Sin embargo, estos esfuerzos han conseguido sólo formalizaciones abstractas, que no son capaces de resolver cuestiones materiales sobre la respuesta correcta ante un caso nuevo. Los algoritmos no pueden descubrir, ni evaluar, problemas humanos sin la ayuda de programadores; no pueden decidir entre hipótesis interpretativas alter…
Prosodic phenomena in simultaneous interpreting
2005
This paper reports on an empirical study on prosody in English-German simultaneous interpreting. It discusses prosody with particular reference to its tonal, durational and dynamic features, such as intonation, pauses, rhythm and accent, as well as its main functions, i.e. structure and prominence. Following a review of previous studies on the topic, a conceptual approach for the analysis of prosody in terms of structure and prominence is developed and subsequently applied to an authentic corpus of professional simultaneous interpretation consisting of three German versions of a 72-minute English source text. Prosodic patterns in the corpus are analyzed by means of a computer-aided method u…
A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding
2012
This paper proposes a new multi objective genetic algorithm (MOGA) for solving unequal area facility layout problems (UA-FLPs). The genetic algorithm suggested is based upon the slicing structure where the relative locations of the facilities on the floor are represented by a location matrix encoded in two chromosomes. A block layout is constructed by partitioning the floor into a set of rectangular blocks using guillotine cuts satisfying the areas requirements of the departments. The procedure takes into account four objective functions (material handling costs, aspect ratio, closeness and distance requests) by means of a Pareto based evolutionary approach. The main advantage of the propos…
Machine Learning: An Overview and Applications in Pharmacogenetics.
2021
This narrative review aims to provide an overview of the main Machine Learning (ML) techniques and their applications in pharmacogenetics (such as antidepressant, anti-cancer and warfarin drugs) over the past 10 years. ML deals with the study, the design and the development of algorithms that give computers capability to learn without being explicitly programmed. ML is a sub-field of artificial intelligence, and to date, it has demonstrated satisfactory performance on a wide range of tasks in biomedicine. According to the final goal, ML can be defined as Supervised (SML) or as Unsupervised (UML). SML techniques are applied when prediction is the focus of the research. On the other hand, UML…
A Proposal to Model Ancient Silk Weaving Techniques and Extracting Information from Digital Imagery - Ongoing Results of the SILKNOW Project
2019
Three dimensional (3D) virtual representations of the internal structure of textiles are of interest for a variety of purposes related to fashion, industry, education or other areas. The modeling of ancient weaving techniques is relevant to understand and preserve our heritage, both tangible and intangible. However, ancient techniques cannot be reproduced with standard approaches, which usually are aligned with the characteristics of modern, mechanical looms. The aim of this paper is to propose a mathematical modelling of ancient weaving techniques by means of matrices in order to be easily mapped to a virtual 3D representation. The work focuses on ancient silk textiles, ranging from the 15…