scholarly journals On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization

2006 ◽  
pp. 444-454 ◽  
Author(s):  
Paul Ruhnau ◽  
Annette Stahl ◽  
Christoph Schnörr
Keyword(s):  
Fluid Flows ◽  
On Line ◽  
Spatio Temporal

Spatial Online Analytical Processing (SOLAP)

2011 ◽  
pp. 298-319 ◽  
Author(s):  
Yvan Bedard ◽  
Sonia Rivest ◽  
Marie-Josée Proulx
Keyword(s):  
Information Systems ◽  
Geographical Information Systems ◽  
Temporal Analysis ◽  
Point Of View ◽  
Geographical Information ◽  
Spatial Component ◽  
On Line ◽  
Street Address ◽  
Analytical Processing ◽  
Spatio Temporal

It is recognized that 80% of data have a spatial component (ex. street address, place name, geographic coordinates, map coordinates). Having the possibilities to display data on maps, to compare maps of different phenomena or epochs, and to combine maps with tables and statistical charts allows one to get more insights into spatial datasets. Furthermore, performing fast spatio-temporal analysis, interactively exploring the data by drilling on maps similarly to drilling on tables and charts, and easily synchronizing such operations among these views is nowadays required by more and more users. This can be done by combining Geographical Information Systems (GIS) with On-Line Analytical Processing (OLAP), paving the way to “SOLAP” (Spatial OLAP). The present chapter focuses on the spatial characteristics of SOLAP from a geomatics engineering point of view: concepts, architectures, tools and remaining challenges.

scholarly journals On-line Mode Decomposition of Fluid Flows Using Moving Horizon Estimation

2019 ◽  
Author(s):  
A. Alessandri ◽  
P. Bagnerini ◽  
C. Carmeli ◽  
M. Gaggero ◽  
D. Lengani ◽  
...  
Keyword(s):  
Fluid Flows ◽  
Moving Horizon Estimation ◽  
Mode Decomposition ◽  
On Line

Efficient Dynamic Floor Field Methods for Microscopic Pedestrian Crowd Simulations

2014 ◽  
Vol 16 (1) ◽  
pp. 264-286 ◽  
Author(s):  
Dirk Hartmann ◽  
Peter Hasel
Keyword(s):  
Computational Approach ◽  
The Other ◽  
Field Methods ◽  
Popular Medium ◽  
Crowd Simulations ◽  
On Line ◽  
Floor Field ◽  
Spatio Temporal ◽  
The One ◽  
Pedestrian Crowd

AbstractFloor field methods are one of the most popular medium-scale navigation concepts in microscopic pedestrian simulators. Recently introduced dynamic floor field methods have significantly increased the realism of such simulations, i.e. agreement of spatio-temporal patterns of pedestrian densities in simulations with real world observations. These methods update floor fields continuously taking other pedestrians into account. This implies that computational times are mainly determined by the calculation of floor fields. In this work, we propose a new computational approach for the construction of dynamic floor fields. The approach is based on the one hand on adaptive grid concepts and on the other hand on a directed calculation of floor fields, i.e. the calculation is restricted to the domain of interest. Combining both techniques the computational complexity can be reduced by a factor of 10 as demonstrated by several realistic scenarios. Thus on-line simulations, a requirement of many applications, are possible for moderate realistic scenarios.

scholarly journals Spatio-temporal Brain Dynamics Underlying Saccade Execution, Suppression, and Error-related Feedback

2007 ◽  
Vol 19 (3) ◽  
pp. 420-432 ◽  
Author(s):  
Anthony T. Herdman ◽  
Jennifer D. Ryan
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Saccadic Eye Movements ◽  
Frontal Eye Field ◽  
Neural Responses ◽  
Eye Field ◽  
On Line ◽  
Spatio Temporal ◽  
Neural Underpinnings ◽  
Empirical Demonstration

Human and nonhuman animal research has outlined the neural regions that support saccadic eye movements. The aim of the current work was to outline the sequence by which distinct neural regions come on-line to support goal-directed saccade execution and error-related feedback. To achieve this, we obtained behavioral responses via eye movement recordings and neural responses via magnetoencephalography (MEG), concurrently, while participants performed an antisaccade task. Neural responses were examined with respect to the onset of the saccadic eye movements. Frontal eye field and visual cortex activity distinguished subsequently successful goal-directed saccades from (correct and erroneous) reflexive saccades prior to the deployment of the eye movement. Activity in the same neural regions following the saccadic movement distinguished correct from incorrect saccadic responses. Error-related activity in the frontal eye fields preceded that from visual regions, suggesting a potential feedback network that may drive corrective eye movements. This work provides the first empirical demonstration of simultaneous remote eyetracking and MEG recording. The coupling of behavioral and neuroimaging technologies, used here to characterize dynamic brain networks underlying saccade execution and error-related feedback, demonstrates a novel within-paradigm converging evidence approach by which to outline the neural underpinnings of cognition.

Syntactic parsing preferences and their on-line revisions: a spatio-temporal analysis of event-related brain potentials

2001 ◽  
Vol 11 (2) ◽  
pp. 305-323 ◽  
Author(s):  
Angela D. Friederici ◽  
Axel Mecklinger ◽  
Kevin M. Spencer ◽  
Karsten Steinhauer ◽  
Emanuel Donchin
Keyword(s):  
Temporal Analysis ◽  
Syntactic Parsing ◽  
Brain Potentials ◽  
On Line ◽  
Spatio Temporal
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