Results 61 to 70 of about 205,721 (308)

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Leveraging the Grid to Provide a Global Platform for Ubiquitous Computing Research [PDF]

, 2003
The requirement for distributed systems support for Ubicomp has led to the development of numerous platforms, each addressing a subset of the overall requirements of ubiquitous systems.
Storz, Oliver, Friday, Adrian, Boddupalli, Prasad, Wu, Maomao   +3 more
core  

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Enabling Grid Computing resources within the KM3NeT computing model

EPJ Web of Conferences, 2016
KM3NeT is a future European deep-sea research infrastructure hosting a new generation neutrino detectors that – located at the bottom of the Mediterranean Sea – will open a new window on the universe and answer fundamental questions both in particle ...
Filippidis Christos
doaj   +1 more source

Risk assessment models for resource failure in grid computing [PDF]

, 2011
Service Level Agreements (SLAs) are introduced in order to overcome the limitations associated with the best-effort approach in Grid computing, and to accordingly make Grid computing more attractive for commercial uses. However, commercial Grid providers
Alsoghayer, Raid Abdullah
core  

Agent-Based Virtual Organisations for the Grid [PDF]

, 2005
The ability to create reliable, scalable virtual organisations (VOs) on demand in a dynamic, open and competitive environment is one of the challenges that underlie Grid computing.
Michael Luck, Fiddian, N. J., Simon Thompson, Preece, Alun, Preece, A., W. T. Luke Teacy, Luck, Michael; id_orcid, Jigar Patel Luke, Nir Oren, Chalmers, S, Peter M. D. Gray, Patrick J. Stockreisser, Patel, Jigar, Jennings, NR, Gray, Peter M. D., Teacy, WTL, Preece, Alun David, Gray, PMD, Stockreisser, PJ, Gray, William Alexander, Nick J Fiddian, Gray, W. Alex, Chalmers, Stuart, W T Luke Teacy, Teacy, W. T. Luke, Stockreisser, Patrick J., Stockreisser, Patrick Jean, Shao, J, Gray, W. A., Nicholas R. Jennings, Jennings, Nicholas R., Chalmers, S., Oren, N, Thompson, Simon, Shao, J., Luck, M., Stockreisser, P. J., Shercliff, G., Stockreisser, P.J., Nick J. Fiddian, Gray, W.A., Fiddian, N.J., Fiddian, Nicholas John, Luck, M, Nicholas R Jennings, Preece, A, Luck, Michael, Jennings, N. R., Teacy, W.T.L., Shercliff, Gareth, Stuart Chalmers, W Alex Gray, Norman, Timothy, Jianhua Shao, Fiddian, Nick J., Patrick J Stockreisser, Patel, J, Shao, Jianhua, Norman, Timothy J., Patel, J., Thompson, S., Gareth Shercliff, Jigar Patel, Norman, TJ, Gray, P.M.D., Fiddian, NJ, Alun Preece, Shercliff, G, W. Alex Gray, Thompson, S, Timothy J. Norman, Gray, WA, Oren, Nir, Oren, N.   +73 more
core   +1 more source

Combined Process‐ and Phase‐Field‐Simulation to Predict the Microstructure of Single‐Crystal Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm, André B. Baldissera, Rainer Völkl, Uwe Glatzel   +3 more
wiley   +1 more source

Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid

IEEE Access, 2019
Mobile computing adds computing, storage, processing and other functions in wireless network ends to provide customized and differentiated services, so that it can be widely applied in the fields of internet of things, video, medical treatment, retail ...
Ying Ma, Chao Huang, Yu Sun, Guang Zhao, Yunjie Lei   +4 more
doaj   +1 more source

ARC-CE: updates and plans [PDF]

Компьютерные исследования и моделирование, 2015
ARC Compute Element is becoming more popular in WLCG and EGI infrastructures, being used not only in the Grid context, but also as an interface to HPC and Cloud resources.
Oxana Smirnova, Balázs Kónya, David Cameron, Jon Kerr Nilsen, Andrej Filipčič   +4 more
doaj   +1 more source

Dynamic Adaptation for Grid Computing [PDF]

, 2005
As Grid architectures provide resources that uctuate, applications that should be run on such environments must be able to take into account the changes that may occur. This document describes how applications can be built from components that may dynamically adapt themselves.
Buisson, Jérémy, André, Françoise, Pazat, Jean-Louis   +2 more
openaire   +3 more sources