Plataforma de evaluación de algoritmos para la identificación de usuarios

La minería de datos es un campo de las ciencias de la computación referido al proceso que intenta descubrir patrones en grandes volúmenes de datos. La minería de datos busca generar información similar a la que podría producir un experto humano. Además es el proceso de descubrir conocimientos interesantes, como patrones, asociaciones, cambios, anomalías y estructuras significativas a partir de grandes cantidades de datos almacenadas en bases de datos, data warehouses o cualquier otro medio de almacenamiento de información. El aprendizaje automático o aprendizaje de máquinas es una rama de la Inteligencia artificial cuyo objetivo es desarrollar técnicas que permitan a las computadoras aprender. De forma más concreta, se trata de crear programas capaces de generalizar comportamientos a partir de una información no estructurada suministrada en forma de ejemplos. La minería de datos utiliza métodos de aprendizaje automático para descubrir y enumerar patrones presentes en los datos. En los últimos años se han aplicado las técnicas de clasificación y aprendizaje automático en un número elevado de ámbitos como el sanitario, comercial o de seguridad. Un ejemplo muy actual es la detección de comportamientos y transacciones fraudulentas en bancos. Una aplicación de interés es el uso de las técnicas desarrolladas para la detección de comportamientos fraudulentos en la identificación de usuarios existentes en el interior de entornos inteligentes sin necesidad de realizar un proceso de autenticación. Para comprobar que estas técnicas son efectivas durante la fase de análisis de una determinada solución, es necesario crear una plataforma que de soporte al desarrollo, validación y evaluación de algoritmos de aprendizaje y clasificación en los entornos de aplicación bajo estudio. El proyecto planteado está definido para la creación de una plataforma que permita evaluar algoritmos de aprendizaje automático como mecanismos de identificación en espacios inteligentes. Se estudiarán tanto los algoritmos propios de este tipo de técnicas como las plataformas actuales existentes para definir un conjunto de requisitos específicos de la plataforma a desarrollar. Tras el análisis se desarrollará parcialmente la plataforma. Tras el desarrollo se validará con pruebas de concepto y finalmente se verificará en un entorno de investigación a definir. ABSTRACT. The data mining is a field of the sciences of the computation referred to the process that it tries to discover patterns in big volumes of information. The data mining seeks to generate information similar to the one that a human expert might produce. In addition it is the process of discovering interesting knowledge, as patterns, associations, changes, abnormalities and significant structures from big quantities of information stored in databases, data warehouses or any other way of storage of information. The machine learning is a branch of the artificial Intelligence which aim is to develop technologies that they allow the computers to learn. More specifically, it is a question of creating programs capable of generalizing behaviors from not structured information supplied in the form of examples. The data mining uses methods of machine learning to discover and to enumerate present patterns in the information. In the last years there have been applied classification and machine learning techniques in a high number of areas such as healthcare, commercial or security. A very current example is the detection of behaviors and fraudulent transactions in banks. An application of interest is the use of the techniques developed for the detection of fraudulent behaviors in the identification of existing Users inside intelligent environments without need to realize a process of authentication. To verify these techniques are effective during the phase of analysis of a certain solution, it is necessary to create a platform that support the development, validation and evaluation of algorithms of learning and classification in the environments of application under study. The project proposed is defined for the creation of a platform that allows evaluating algorithms of machine learning as mechanisms of identification in intelligent spaces. There will be studied both the own algorithms of this type of technologies and the current existing platforms to define a set of specific requirements of the platform to develop. After the analysis the platform will develop partially. After the development it will be validated by prove of concept and finally verified in an environment of investigation that would be define.

Efeitos da adoção obrigatória das IFRS sobre a qualidade do ambiente informacional: a relevância dos fatores institucionais

O estudo investiga os efeitos da adoção obrigatória das IFRS sobre a qualidade do ambiente informacional e confirma a hipótese de que os incentivos econômicos associados aos fatores institucionais são mais relevantes do que os padrões contábeis para explicar a qualidade do ambiente informacional. Foi utilizada uma amostra de 15 países que não passaram por reformas significativas na estrutura de enforcement legal, proporcionando uma estratégia de identificação econométrica mais robusta. Os países analisados adotaram as IFRS em momentos diferentes a partir de 2006. Foram utilizadas quatro métricas de qualidade dos accruals e três métricas de performance dos analistas para operacionalizar a variável dependente qualidade do ambiente informacional. Além disso, foram utilizadas como variáveis mediadoras diversas características institucionais com potencial de afetar os incentivos à elaboração e divulgação de demonstrações financeiras. Os resultados indicam que a adoção obrigatória das IFRS afetou de forma negativa a qualidade dos accruals e a performance dos analistas. No entanto, esses resultados são contingentes à qualidade da infraestrutura institucional da jurisdição que adotou as IFRS como modelo contábil obrigatório. Os efeitos das IFRS foram significativamente mais positivos (ou menos negativos) para os países com origem legal common law, estrutura de enforcement legal mais forte, mercado de capitais mais desenvolvido, menor diferença entre padrões contábeis locais e padrões internacionais, maior grau de liberdade econômica, menor corrupção percebida e instituições mais sólidas. Foram realizados testes de robustez para verificar a sensibilidade desses resultados. Os resultados permaneceram qualitativamente iguais após serem aplicados diferentes critérios de amostragem, controlados os efeitos da crise financeira de 2008 e levado em conta o possível efeito aprendizado dos responsáveis pela elaboração e análise das demonstrações financeiras no primeiro ano de adoção. O estudo contribui com a literatura da área de contabilidade financeira e com os órgãos reguladores da indústria contábil ao fornecer evidências de que a adoção obrigatória das IFRS, quando não acompanhada por reformas econômicas e institucionais, não causará os benefícios informacionais esperados

Efeitos literários e níveis de pertinência: o papel da literatura na obra Anatomia de um instante, de Javier Cercas

Esta dissertação consiste em um estudo sobre os efeitos de sentido causados pelas obras literárias sob a ótica da semiótica greimasiana. O corpus analisado mais detidamente é a obra Anatomia de um romance, de Javier Cercas; também são analisados para comparação parte das obras 23-F: El golpe del Cesid, de Jesús Palacios, e Os três mosqueteiros, de Alexandre Dumas. Começando por uma reflexão sobre o objeto literário a partir do ponto de vista de uma metalinguagem não-científica, criou-se uma ponte entre a metalinguagem nãocientífica e a metalinguagem científica da semiótica greimasiana, tendo como base os conceitos desenvolvidos nos dois dicionários de semiótica. Os conceitos foram complementados pelo desenvolvimento de uma linha recente da semiótica, os níveis de pertinência. O corpus foi analisado conforme os níveis de pertinência, principalmente os níveis do texto enunciado, objeto, prática e estratégia. O efeito de sentido literário será considerado como dependente de diferentes níveis de pertinência e de forma gradual, podendo uma obra se estabelecer como mais ou menos literária dentro de um continuum.

Aplicación de un modelo geográfico con información climática para el cálculo del balance hídrico de la comarca de la Marina Baja (Alicante)

Este trabajo analiza las nuevas tendencias en la creación y gestión de información geográfica, para la elaboración de modelos inductivos basados exclusivamente en bases de datos geográficas. Estos modelos permiten integrar grandes volúmenes de datos de características heterogéneas, lo que supone una gran complejidad técnica y metodológica. Se propone una metodología que permite conocer detalladamente la distribución de los recursos hídricos naturales en un territorio y derivar numerosas capas de información que puedan ser incorporadas a estos modelos «ávidos de datos» (data-hungry). La zona de estudio escogida para aplicar esta metodología es la comarca de la Marina Baja (Alicante), para la que se presenta un cálculo del balance hídrico espacial mediante el uso de herramientas estadísticas, geoestadísticas y Sistemas de Información Geográfica. Finalmente, todas las capas de información generadas (84) han sido validadas y se ha comprobado que su creación admite un cierto grado de automatización que permitirá incorporarlas en análisis de Minería de Datos más amplios.

Surface velocity fields, digital elevation models and ice front positions derived from multi-mission SAR remote sensing data at Sjögren Inlet glaciers, Antarctic Peninsula

Substantial retreat or disintegration of numerous ice shelves have been observed on the Antarctic Peninsula. The ice shelf in the Prince Gustav Channel retreated gradually since the late 1980's and broke-up in 1995. Tributary glaciers reacted with speed-up, surface lowering and increased ice discharge, consequently contributing to sea level rise. We present a detailed long-term study (1993-2014) on the dynamic response of Sjögren Inlet glaciers to the disintegration of Prince Gustav Ice Shelf. We analyzed various remote sensing datasets to observe the reactions of the glaciers to the loss of the buttressing ice shelf. A strong increase in ice surface velocities was observed with maximum flow speeds reaching 2.82±0.48 m/d in 2007 and 1.50±0.32 m/d in 2004 at Sjögren and Boydell glaciers respectively. Subsequently, the flow velocities decelerated, however in late 2014, we still measured about two times the values of our first measurements in 1996. The tributary glaciers retreated 61.7±3.1 km² behind the former grounding line of the ice shelf. In regions below 1000 m a.s.l., a mean surface lowering of -68±10 m (-3.1 m/a) was observed in the period 1993-2014. The lowering rate decreased to -2.2 m/a in recent years. Based on the surface lowering rates, geodetic mass balances of the glaciers were derived for different time steps. High mass loss rate of -1.21±0.36 Gt/a was found in the earliest period (1993-2001). Due to the dynamic adjustments of the glaciers to the new boundary conditions the ice mass loss reduced to -0.59±0.11 Gt/a in the period 2012-2014, resulting in an average mass loss rate of -0.89±0.16 Gt/a (1993-2014). Including the retreat of the ice front and grounding line, a total mass change of -38.5±7.7 Gt and a contribution to sea level rise of 0.061±0.013 mm were computed. Analysis of the ice flux revealed that available bedrock elevation estimates at Sjögren Inlet are too shallow and are the major uncertainty in ice flux computations. This temporally dense time series analysis of Sjögren Inlet glaciers shows that the adjustments of tributary glaciers to ice shelf disintegration are still going on and provides detailed information of the changes in glacier dynamics.

Ice rafted debris distribution in sediment core CRP-1

Lonestone abundances in CRP-1 were investigated using three methods: core examination at Cape Roberts Camp, analysis of digital core images and follow-up core examination. For all images of split-core, we determined size and depth of every detectable lonestone larger than 3 mm. Lonestone abundance decreases exponentially with clast size. Although no significant depth-dependent variations in lonestone size distribution were detected, a strong 0.5-0.7 m abundance periodicity, of unknown origin, is evident within diamicts. Lonestone volume percentage was estimated from size distribution: most size classes contribute approximately the same volume to the total. Sizes >16 mm have rare enough lonestones that their counts are nonrepresentative when based on short intervals of split core. This problem does not affect total counts significantly, but the volume analysis needs to be confined to <= 6 mm lonestones to avoid instability induced by rare and nonrepresentative larger lonestones. If lonestone abundance can be used as an indicator of glacial proximity, then our CRP-1 lonestone abundance logs confirm the overall character of previously inferred variations in relative distance to the ice margin. Large-scale changes in lonestone abundance also reflect the CRP-1 sequence stratigraphy, with individual sequences generally characterised by basal lonestone-rich diamict overlain by lonestone-poor sands and muds. The relationship between glacial proximity and lonestone abundance within diamicts and within sand-mud intervals is, however, less certain. For example, two or three gradual lonestone increases may indicate regressions during glacial advances, in contrast to the more common CRP-l pattern of dominantly transgressive sequences.

(Table T2) Remanent anomaly and Koenigsberger ratio of ODP holes

Magnetic field strength and magnetic susceptibility were logged with the geological high-resolution magnetic tool (GHMT) at three of the holes drilled during Ocean Drilling Program Leg 178 to the west of the Antarctic Peninsula. Polarity stratigraphies derived from the GHMT logs bear close resemblance to the polarities determined from core paleomagnetism at two of the holes and were used for magnetostratigraphic dating, especially in intervals where no core was recovered. Polarity is determined in the following way. First, the susceptibility log is used to determine the induced magnetization of the sediment. Then the background field, the field of the metal drill pipe, and the field anomaly of the sediment's induced magnetization are removed from the measured total field to leave the downhole anomaly of the sediment's remanent magnetization. The sign (positive or negative) of this anomaly gave a good polarity stratigraphy for Holes 1095B and 1096C, which are located in sediment drifts. A further step, correlation analysis, is based on the fact that in an interval of normal polarity sediment the remanent anomaly will correlate with the induced anomaly, whereas in reversed polarity sediment they will anticorrelate. The magnetite-rich, fine-grained sediments found in the two holes drilled into the sediment drift have a ratio of remanent to induced magnetization (the Koenigsberger ratio) of ~1. In contrast, the coarser-grained diamict sediments on the shelf have a Koenigsberger ratio of ~0.2, and extracting the remanent part of the downhole anomaly is much more difficult. By the comparison of core and log results, we can assess the viability of the GHMT polarities in detail, what proportion of the overprint in the cores is imparted by the coring process, and whether any paleointensity information is extractable from the GHMT logs.

Strategies for aggressive driver enforcement.

Mode of access: Internet.

Networks for Networkers II Conference /

"March, 1991."

Synthesis of texture,

"Contract US AEC AT(11-1)2118."

Innovative approaches to teaching technical communication /

Includes bibliographical references and index.

Handbook for users.

"Supersedes DLAH 4185.8, 17 May 88"--1st prelim. p.

Waging the campaign of truth /

"Reprinted from the Department of State Field reporter of July-August 1952."

EDGAR : a status report /

"June 30, 1987."

Annotations -- on public library development.

Title from caption.