Search results for "identification"

Affordances and Effects of Promoting eParticipation Through Social Media

2015

Part 1: eParticipation and Social Media; International audience; A growing body of literature highlights the adoption of social media for eParticipation, focusing on the identification of processes and structures through which ICT supports the relationship between citizens, governments and public bodies. There is a need to better understand the role of technology in such initiatives. This paper addresses this issue by introducing the concept of affordance. We used a case study approach to investigate an Indonesian eParticipation projects from Bandung, identifying affordance perceptions, enabling and inhibiting factors, actualized affordances and affordances effects. From the use of social m…

Experimental investigations of the hypernucleus $_Λ^4$H

2015

International audience; Negatively charged pions from two-body decays of stopped _Lambda^4H hypernuclei were studied in 2012 at the Mainz Microtron MAMI, Germany. The momenta of the decay-pions were measured with unprecedented precision by using high-resolution magnetic spectrometers. A challenge of the experiment was the tagging of kaons from associated K^+∧ production off a Be target at very forward angles. In the year 2014, this experiment was continued with a better control of the systematic uncertainties, with better suppression of coincident and random background, improved particle identification, and with higher luminosities. Another key point of the progress was the improvemen…

Sag, wie hältst Du's mit Grün-Rot? Die grün-rote Landesregierung im Urteil der Wähler 2011 bis 2015

2016

In unserem Beitrag analysieren wir, wie die Burgerinnen und Burger den Regierungswechsel und die Ubernahme der Regierungsgeschafte durch die neue grun-rote Regierung wahrgenommen, wie sich die Regierungs- und Parteienzufriedenheit (ausgedruckt durch die hypothetische Wahlentscheidung) im Zeitverlauf entwickelt haben und was die Determinanten der Zufriedenheit sind. Unsere Analysen basieren dabei auf insgesamt sechs reprasentativen telefonischen Befragungen im Zeitraum von November 2011 bis Oktober 2015. Wir konnen zeigen, dass im Laufe der Legislaturperiode die vor der Wahl stattgefundenen Ereignisse mehr und mehr an Bedeutung fur die Bewertung der Regierungsleistung verlieren. Die Landesre…

From a bodily-based format of knowledge to symbols. The evolution of human language

2013

Although ontogeny cannot recapitulate phylogeny, a two-level model of the acquisition of language will be here proposed and its implication for the evolution of the faculty of language will be discussed. It is here proposed that the identification of the cognitive requirements of language during ontogeny could help us in the task of identifying the phylogenetic achievements that concurred, at some point, to the acquisition of language during phylogeny. In this model speaking will be considered as a complex ability that arises in two different steps. The first step of competence widely relies on a bodily-based format of knowledge. The second step relies on more abstract meta-representations …

Language Detection and Tracking in Multilingual Documents Using Weak Estimators

2010

Published version of an article from the book: Structural, Syntactic, and Statistical Pattern Recognition . The original publication is available at Spingerlink. http://dx.doi.org/DOI: 10.1007/978-3-642-14980-1_59 This paper deals with the extremely complicated problem of language detection and tracking in real-life electronic (for example, in Word-of-Mouth (WoM)) applications, where various segments of the text are written in different languages. The difficulties in solving the problem are many-fold. First of all, the analyst has no knowledge of when one language stops and when the next starts. Further, the features which one uses for any one language (for example, the n-grams) will not be…

Embedded controlled language to facilitate information extraction from eGov policies

2015

The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Language (CNL) statements from heterogeneous natural language texts with the ability to support multilinguality. The approach is based on the concept of embedded CNLs.

THE USE OF WEAK ESTIMATORS TO ACHIEVE LANGUAGE DETECTION AND TRACKING IN MULTILINGUAL DOCUMENTS

2013

This paper deals with the problems of language detection and tracking in multilingual online short word-of-mouth (WoM) discussions. This problem is particularly unusual and difficult from a pattern recognition perspective because, in these discussions, the participants and content involve the opinions of users from all over the world. The nature of these discussions, consisting of multiple topics in different languages, presents us with a problem of finding training and classification strategies when the class-conditional distributions are nonstationary. The difficulties in solving the problem are many-fold. First of all, the analyst has no knowledge of when one language stops and when the…

Readout system of the ALICE Fast Interaction Trigger

2020

Dyscalculia: Clinical manifestations, evaluation and diagnosis. Current Perspectives of educational intervention

2019

Learning difficulties and learning disorders are very frequent in schools nowadays, and they have been increasing in the field of mathematics. Such difficulties tend to be associated with other disorders such as dyslexia or Attention Deficit Hyperactivity Disorder (ADHD). The present article aims at deepening our understanding, definition and detection of dyscalculia, along with reviewing current educational treatments. Since 1990, concerns about learning difficulties in the classroom have been made explicit in policies such as the Spanish Law on the General Ordering of the Education System (LOGSE). Likewise, the indicators, symptoms, and prevalence of dyscalculia have been gathered since t…

Adaptive algorithms robust to impulsive noise with low computational cost using order statistic

2009

Abstract In this paper a family of adaptive algorithms robust to impulsive noise and with low computational cost are presented. Unlike other approaches, no cost functions or filtering of the gradient are considered in order to update the filter coefficients. Its initial basis is the basic LMS algorithm and its sign-error variant. The proposed algorithms can be considered as some sign-error variants of the LMS algorithm. The algorithms are successfully tested in terms of accuracy and convergence in a standard system identification simulation in which an impulsive noise is present. Simulations show that they improve the performance of LMS variants that are robust to impulsive noise.