Search results for " computing"
showing 10 items of 2075 documents
A distributed dynamic load balancer and its implementation on multi-transputer systems for molecular dynamics simulation
1990
Abstract A new and efficient approach is described to the dynamic load-balancing problem which is central in concurrent computing. A transputer-based implementation is tested on a molecular dynamics simulation of spinodal phase separation.
"Table 14" of "Studies of quantum chromodynamics with the ALEPH detector"
1997
Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.
"Table 21" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."
1997
4-jet rate for the Durham Algorithm.
"Table 31" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."
1996
Differential 4-jet rate for the Durham Algorithm. Corrected to final state particles. YCUT is the jet finding cutt-off parameter.
"Table 22" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."
1997
5-jet rate for the Durham Algorithm.
"Table 13" of "Studies of quantum chromodynamics with the ALEPH detector"
1997
Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.
"Table 15" of "Studies of quantum chromodynamics with the ALEPH detector"
1997
Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.
"Table 16" of "Studies of quantum chromodynamics with the ALEPH detector"
1997
Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.
"Table 4" of "Inclusive production of neutral vector mesons in hadronic Z decays"
1995
Average multiplicity per hadronic event. Extrapolation to the full X range.
A cloud based architecture to support Electronic Health Record.
2014
We introduce a novel framework of electronic healthcare enabled by a Cloud platform able to host both Hospital Information Systems (HIS) and Electronic Medical Record (EMR) systems and implement an innovative model of Electronic Health Record (EHR) that is not only patient-oriented but also supports a better governance of the whole healthcare system. The proposed EHR model adopts the state of the art of the Cloud technologies, being able to join the different clinical data of the patient stored within the HISs and EMRs either placed into a local Data Center or hosted into a Cloud Platform enabling new directions of data analysis.