scholarly journals Verifying spatial properties of array computations

2017 ◽  
Vol 1 (OOPSLA) ◽  
pp. 1-30 ◽  
Author(s):  
Dominic Orchard ◽  
Mistral Contrastin ◽  
Matthew Danish ◽  
Andrew Rice
Keyword(s):  
Spatial Properties ◽  
Array Computations

Retrieval of Cirrus Radiative and Spatial Properties Using Independent Satellite Data Analysis Techniques

1992 ◽  
Author(s):  
Robert P. D'Entremont ◽  
Donald P. Wylie ◽  
J. W. Snow ◽  
Michael K. Griffin ◽  
James T. Bunting
Keyword(s):  
Data Analysis ◽  
Satellite Data ◽  
Analysis Techniques ◽  
Spatial Properties

scholarly journals Ray Tracing Modeling of Electromagnetic Propagation for On-Chip Wireless Optical Communications

2018 ◽  
Vol 8 (4) ◽  
pp. 39 ◽  
Author(s):  
Franco Fuschini ◽  
Marina Barbiroli ◽  
Marco Zoli ◽  
Gaetano Bellanca ◽  
Giovanna Calò ◽  
...  
Keyword(s):  
Ray Tracing ◽  
Path Loss ◽  
Wireless Channel ◽  
Electromagnetic Propagation ◽  
Networks On Chip ◽  
Spatial Properties ◽  
Radiation Properties ◽  
Wireless Optical Communications ◽  
On Chip ◽  
The Relationship

Multi-core processors are likely to be a point of no return to meet the unending demand for increasing computational power. Nevertheless, the physical interconnection of many cores might currently represent the bottleneck toward kilo-core architectures. Optical wireless networks on-chip are therefore being considered as promising solutions to overcome the technological limits of wired interconnects. In this work, the spatial properties of the on-chip wireless channel are investigated through a ray tracing approach applied to a layered representation of the chip structure, highlighting the relationship between path loss, antenna positions and radiation properties.

scholarly journals Accuracy of a Model-Free Algorithm for Temporal InSAR Tropospheric Correction

2021 ◽  
Vol 13 (3) ◽  
pp. 409
Author(s):  
Howard Zebker
Keyword(s):  
Time Series ◽  
Signal To Noise Ratio ◽  
Artifact Reduction ◽  
Interferometric Synthetic Aperture Radar ◽  
Spatial Properties ◽  
Model Free ◽  
Weather Model ◽  
Phase Variations ◽  
Source Of Error ◽  
Signal Correlation

Atmospheric propagational phase variations are the dominant source of error for InSAR (interferometric synthetic aperture radar) time series analysis, generally exceeding uncertainties from poor signal to noise ratio or signal correlation. The spatial properties of these errors have been well studied, but, to date, their temporal dependence and correction have received much less attention. Here, we present an evaluation of the magnitude of tropospheric artifacts in derived time series after compensation using an algorithm that requires only the InSAR data. The level of artifact reduction equals or exceeds that from many weather model-based methods, while avoiding the need to globally access fine-scale atmosphere parameters at all times. Our method consists of identifying all points in an InSAR stack with consistently high correlation and computing, and then removing, a fit of the phase at each of these points with respect to elevation. A comparison with GPS truth yields a reduction of three, from a rms misfit of 5–6 to ~2 cm over time. This algorithm can be readily incorporated into InSAR processing flows without the need for outside information.

Adaptive distributed monitors of spatial properties for cyber–physical systems

2021 ◽  
Vol 175 ◽  
pp. 110908
Author(s):  
Giorgio Audrito ◽  
Roberto Casadei ◽  
Ferruccio Damiani ◽  
Volker Stolz ◽  
Mirko Viroli
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
Spatial Properties

Determinants of the spatial properties of cone-rod interaction

1985 ◽  
Vol 25 (9) ◽  
pp. 1277-1284 ◽  
Author(s):  
Steven L. Buck
Keyword(s):  
Spatial Properties

scholarly journals The Spatial Properties of Radical Environmental Organizations in the UK: Do or Die!

PLoS ONE ◽  
2016 ◽  
Vol 11 (11) ◽  
pp. e0166609 ◽  
Author(s):  
Zack W. Almquist ◽  
Benjamin E. Bagozzi
Keyword(s):  
Environmental Organizations ◽  
Spatial Properties ◽  
The Uk

scholarly journals Spatial properties of a forest buffalo herd and individual positioning as a response to environmental cues and social behaviour

2010 ◽  
Vol 28 (3) ◽  
pp. 421-428 ◽  
Author(s):  
Mario Melletti ◽  
M. M. Delgado ◽  
Vincenzo Penteriani ◽  
Marzia Mirabile ◽  
Luigi Boitani
Keyword(s):  
Social Behaviour ◽  
Environmental Cues ◽  
Spatial Properties ◽  
Forest Buffalo

scholarly journals Compact groups in theory and practice - I. The spatial properties of compact groups

2008 ◽  
Vol 387 (3) ◽  
pp. 1281-1290 ◽  
Author(s):  
Alan W. McConnachie ◽  
Sara L. Ellison ◽  
David R. Patton
Keyword(s):  
Theory And Practice ◽  
Compact Groups ◽  
Spatial Properties

Influence of the behavioral goal and environmental obstacles on rapid feedback responses

2012 ◽  
Vol 108 (4) ◽  
pp. 999-1009 ◽  
Author(s):  
Joseph Y. Nashed ◽  
Frédéric Crevecoeur ◽  
Stephen H. Scott
Keyword(s):  
Muscle Activity ◽  
Motor System ◽  
Optimal Feedback Control ◽  
Motor Responses ◽  
Spatial Properties ◽  
Long Latency ◽  
Circular Target ◽  
Motor Actions ◽  
Behavioral Goal ◽  
Feedback Responses

The motor system must consider a variety of environmental factors when executing voluntary motor actions, such as the shape of the goal or the possible presence of intervening obstacles. It remains unknown whether rapid feedback responses to mechanical perturbations also consider these factors. Our first experiment quantified how feedback corrections were altered by target shape, which was either a circular dot or a bar. Unperturbed movements to each target were qualitatively similar on average but with greater dispersion of end point positions when reaching to the bar. On random trials, multijoint torque perturbations deviated the hand left or right. When reaching to a circular target, perturbations elicited corrective movements that were directed straight to the location of the target. In contrast, corrective movements when reaching to a bar were redirected to other locations along the bar axis. Our second experiment quantified whether the presence of obstacles could interfere with feedback corrections. We found that hand trajectories after the perturbations were altered to avoid obstacles in the environment. Importantly, changes in muscle activity reflecting the different target shapes (bar vs. dot) or the presence of obstacles were observed in as little as 70 ms. Such changes in motor responses were qualitatively consistent with simulations based on optimal feedback control. Taken together, these results highlight that long-latency motor responses consider spatial properties of the goal and environment.

Sign in / Sign up

Export Citation Format

Share Document