Search results for "REPRESENTATION"

Modelling and animation of theatrical Greek masks in an authoring system

2007

The Slovak Nation: From Czechoslovakia to Slovakia

2009

This chapter differs in composition from the two previous ones devoted to the politics of language in Hungary and Czechoslovakia in the short 20th century. With the exception of the brief wartime interlude of independent Slovakia (1939–1945), the Slovak nation found itself residing in Czechoslovakia between 1918 and 1992. This necessitated the representation of much Slovak history, and the vicissitudes of Czech-Slovak relations in the previous chapter, which nominally was devoted to matters Czech. It would soon be demonstrated that the past of the common state of the Czech and Slovaks could not be seamlessly divided into separate Czech and Slovak parts. Likewise, numerous international even…

Representaciones de la infancia en Cuerda de presas: trazos de identidad

2014

Los sucesos de la guerra civil española y de la inmediata posguerra constituyen de un tiempo a esta parte un foco de interés para las artes, especialmente para la literatura. El conjunto de relatos allí enmarcados se convierte en un fenómeno de interés para la crítica especializada que, desde distintas perspectivas vertebradas principalmente en torno a los debates acerca de la memoria, cuestiona y aborda la representación de estos acontecimientos históricos, herida aún abierta en la sociedad española. Una forma discursiva que circula todavía por los márgenes es la historieta, y Cuerda de presas es un libro de historietas que reúne once relatos sobre la guerra civil española. En las siguient…

Energy-related optimal control accounts for gravitational load: comparing shoulder, elbow, and wrist rotations.

2013

International audience; Gaveau J, Berret B, Demougeot L, Fadiga L, Pozzo T, Papaxanthis C. Energy-related optimal control accounts for gravitational load: comparing shoulder, elbow, and wrist rotations. J Neurophysiol 111: 4-16, 2014. First published October 16, 2013; doi: 10.1152/jn.01029.2012.-We permanently deal with gravity force. Experimental evidences revealed that moving against gravity strongly differs from moving along the gravity vector. This directional asymmetry has been attributed to an optimal planning process that optimizes gravity force effects to minimize energy. Yet, only few studies have considered the case of vertical movements in the context of optimal control. What kin…

Dynamic Perception of Plastic Movements: Biomechanics and Digital Artifacts

2017

The article offers some reflections on the body-space relationship through images, graphic translations and visual studies that converge into a contemporary digital illuminated avant-garde of the fourth virtual dimension. Starting from the study of the Soviet coreutics of the 1920s and the biomechanics of multimedia performances, it moves on the cinesthetic suggestions and to the dance theorization integrated with the musical score. Finally, some contemporary forms of digital image production are taken into account by addressing a number of issues regarding the exploration of the object-image and its experiential re-elaboration through the production of new graphic knowledge.

Tourism as a Form of New Psychological Resilience: The Inception of Dark Tourism

2012

Tourism industry is considered as an activity based on higher tolerance to frustration, in other terms as a resilient industry. At some extent, the diverse threats that impinge on tourism in late modernity not only did not alter its logic, but strengthened its presence worldwide. Concepts as dark tourism or thanatourism started to be adopted and applied in tourism-related research. Nonetheless, these studies are not interested in revealing neither the anthropological roots of the issue nor the representation of founding trauma (as sacralisation of the dead). Natural and made-man disasters give lessons to communities that are rechanneled by means of mythical mechanism of resiliency. Tourism,…

Parameter Rating by Diffusion Gradient

2014

Anomaly detection is a central task in high-dimensional data analysis. It can be performed by using dimensionality reduction methods to obtain a low-dimensional representation of the data, which reveals the geometry and the patterns that exist and govern it. Usually, anomaly detection methods classify high-dimensional vectors that represent data points as either normal or abnormal. Revealing the parameters (i.e., features) that cause detected abnormal behaviors is critical in many applications. However, this problem is not addressed by recent anomaly-detection methods and, specifically, by nonparametric methods, which are based on feature-free analysis of the data. In this chapter, we provi…

Event-based encoding from digital magnetic compass and ultrasonic distance sensor for navigation in mobile systems

2016

Event-based encoding reduces the amount of generated data while keeping relevant information in the measured magnitude. While this encoding is mostly associated with spiking neuromorphic systems, it can be used in a broad spectrum of tasks. The extension of event-based data representation to other sensors would provide advantages related to bandwidth reduction, lower computing requirements, increased processing speed and data processing. This work describes two event-based encoding procedures (magnitude-event and rate-event) for two sensors widely used in industry, especially for navigation in mobile systems: digital magnetic compass and ultrasonic distance sensor. Encoded data meet Address…

Geo‐referencing naturalistic driving data using a novel method based on vehicle speed

2013

Naturalistic driving is an experimentation model that allows us to recognise the driving modes observing the driver's behaviour at the wheel of a set of people in natural conditions during long periods of observation. This research methodology aims at increasing the representativeness of the data collected in opposition to data stemming from highly controlled laboratory experiments. However, naturalistic driving research designs produce large volumes of data that are difficult to handle. Thus, it is very important to work with suitable methods for representing and interpreting data, allowing us to observe the variability of the results. The aim of this study is to implement a new methodolog…

Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption

2019

In machine learning applications in the energy sector, it is often necessary to have both highly accurate predictions and information about the probabilities of certain scenarios to occur. We address this challenge by integrating and combining long short-term memory networks (LSTMs) and online density estimation into a real-time data streaming architecture of an energy trader. The online density estimation is done in the MiDEO framework, which estimates joint densities of data streams based on ensembles of chains of Hoeffding trees. One attractive feature of the solution is that queries can be sent to the here-called forecast-based point density estimators (FPDE) to derive information from …