284 research outputs found
Passata evoluzione e future tendenze dell’invecchiamento demografico in Italia
The contribution describes the ageing process of Italian Population – analyzed through the geographical areas of Nord-Center and South-Islands – specifying both the past and the future evolution of the phenomenon (from the 1980 to the 2040). In this paper two well-known indicators are used: the average age and the over 65 years old percentage on the overall population. In addition the study consists on obtaining two more indexes able to measure the velocity and the acceleration of the preceding of ageing phenomenon
Parità delle armi e discovery digitale: qualche indicazione da Strasburgo
Il saggio tratta di alcune delle principali difficoltà sorte in materia di discovery digitale ed esamina le soluzioni che emergono dalla giurisprudenza della Corte europea dei diritti dell’uomo.The essay portrays some of the main issues in the disclosure of digital information in criminal proceedings, and examines the solutions that the European Court of Human Rights has elaborated so far
Chain of Custody of Digital Evidence: Comparing Solutions
«La cadena de custodia de la evidencia informática: comparando soluciones». El artÃculo
describe la normativa vigente relativa a la cadena de custodia de la evidencia digital, comparando
las soluciones italianas con las adoptadas en otros paÃses.The essay describes the
current regulation concerning the chain of custody of digital evidence, comparing the
Italian solutions with those adopted in other countries
One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems
Cyber-Physical Systems (CPS) are prevalent in critical infrastructures and a prime target for cyber-attacks. Multivariate time series data generated by sensors and actuators of a CPS can be monitored for detecting cyber-attacks that introduce anomalies in those data. We use Signal Temporal Logic (STL) formulas to tightly describe the normal behavior of a CPS, identifying data instances that do not satisfy the formulas as anomalies. We learn an ensemble of STL formulas based on observed data, without any specific knowledge of the CPS being monitored. We propose an algorithm based on Grammar-Guided Genetic Programming (G3P) that learns the ensemble automatically in a single evolutionary run. We test the effectiveness of our data-driven proposal on two real-world datasets, finding that the proposed one-shot algorithm provides good detection performance
Comparing native versus immigrant occupational choices of Italian labour force : a generalized linear mixed model approach : [absztrakt]
Plant adaptation to extreme environments: The example of Cistus salviifolius of an active geothermal alteration field
Cistus salviifolius is able to colonise one of the most extreme active geothermal alteration
fields in terms of both soil acidity and hot temperatures. The analyses of morphofunctional
and physiological characters, investigated in leaves of plants growing around
fumaroles (G leaves) and in leaves developed by the same plants after transfer into growth
chamber under controlled conditions (C leaves) evidenced the main adaptive traits
developed by this pioneer plant in a stressful environment. These traits involved leaf shape
and thickness, mesophyll compactness, stomatal and trichome densities, chloroplast size.
Changes of functional and physiological traits concerned dry matter content, peroxide and
lipid peroxidation, leaf area, relative water and pigment contents. A higher reducing power
and antioxidant enzymatic activity were typical of G leaves. Though the high levels of
stress parameters, G leaves showed stress-induced specific morphogenic and physiological
responses putatively involved in their surviving in active geothermal habitats
Proyecto: sistemas inteligentes aplicados a la enseñanza de la programacion en Ingenieria
El proyecto objeto de esta presentación, se desarrolla actualmente en la Facultad de Ciencias Exactas, FÃsicas y Naturales de la Universidad Nacional de Córdoba. Ha sido presentado para su acreditación ante la SecretarÃa de Investigación y en Ciencia y TecnologÃa de esta Universidad en la convocatoria bianual 2012-2013 de proyectos I+D. Es el primer antecedente formal en esta lÃnea de investigación aplicada a la enseñanza en IngenierÃa en esta Casa de Estudios.
Su mayor relevancia consiste en el impacto que se espera de él para las carreras de IngenierÃa, especialmente la de Computación, tanto para el rendimiento académico de los estudiantes como para el fortalecimiento de los recursos humanos – investigadores, docentes y estudiantes- en investigación.
El eje central consiste en la utilización de sistemas tutores inteligentes y aplicaciones con robots para la enseñanza de Programación en IngenierÃa.
Es importante destacar que tanto los integrantes de este equipo de investigación como otros docentes e investigadores de la Casa, han realizado acciones de investigación, transferencia y evaluación en la aplicación de TecnologÃas de Información y Comunicación como herramientas soporte para la enseñanza presencial de grado. Estas acciones se han visto favorecidas desde 2006 en el marco del Programa para el Mejoramiento de la Enseñanza en IngenierÃa que contempló la adquisición de un importante volumen de recursos informáticos. Por otra parte, los integrantes de este equipo cuentan además con antecedentes en el sentido especÃfico de esta lÃnea de investigación. Éstas son las fortalezas que alentaron a la propuesta que aquà se presenta.Eje: TecnologÃa informática aplicada en educaciónRed de Universidades con Carreras en Informática (RedUNCI
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