From Temporal Databases to Ontology Versioning

2010 ◽  
pp. 225-246 ◽  
Author(s):  
Najla Sassi ◽  
Zouhaier Brahmia ◽  
Wassim Jaziri ◽  
Rafik Bouaziz
Keyword(s):  
Real Time ◽  
Data Models ◽  
Temporal Databases ◽  
Timely Manner ◽  
Versioning System ◽  
Real Time Computing ◽  
Existing Data

The problem of versioning is present in several application areas, such as temporal databases, real-time computing and ontologies. This problem is generally defined as managing changes in a timely manner without loss of existing data. However, ontology versioning is more complicated than versioning in database because of the usage and content of ontology which incorporates semantic aspects. Consequently, ontology data models are much richer than those of database schemas. In this chapter, the authors are interested in developing an ontology versioning system to express, apply and implement changes on the ontology.

The real-time computing of the Stirling formula based on hardware acceleration

2013 ◽  
Author(s):  
Jiyang Yu ◽  
Dan Huang ◽  
Siyang Zhao ◽  
Nan Pei ◽  
Huixia Cheng ◽  
...  
Keyword(s):  
Real Time ◽  
Hardware Acceleration ◽  
Stirling Formula ◽  
The Real ◽  
Real Time Computing

MODIFIED METHOD FOR REAL-TIME COMPUTING DENSE OPTICAL FLOW ON FPGA

2019 ◽  
Vol 70 ◽  
pp. 146-157
Author(s):  
A. V. Bratulin ◽  
◽  
M. B. Nikiforov ◽  
A. I. Efimov ◽  
◽  
...  
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
Modified Method ◽  
Dense Optical Flow ◽  
Real Time Computing

Nowcasting global trade in goods and services

2020 ◽  
pp. 1-19
Author(s):  
Fernando Cantú-Bazaldúa
Keyword(s):  
Real Time ◽  
Relevant Information ◽  
Global Trade ◽  
Dynamic Factor ◽  
Timely Manner ◽  
Short Term ◽  
Dynamic Factor Models ◽  
Significant Information ◽  
Goods And Services ◽  
World Economic

World economic aggregates are compiled infrequently and released after considerable lags. There are, however, many potentially relevant series released in a timely manner and at a higher frequency that could provide significant information about the evolution of global aggregates. The challenge is then to extract the relevant information from this multitude of indicators and combine it to track the real-time evolution of the target variables. We develop a methodology based on dynamic factor models adapted for variables with heterogeneous frequencies, ragged ends and missing data. We apply this methodology to nowcast global trade in goods in goods and services. In addition to monitoring these variables in real time, this method can also be used to obtain short-term forecasts based on the most up-to-date values of the underlying indicators.

Joint optimal checkpointing and rejuvenation policy for real-time computing tasks

2019 ◽  
Vol 182 ◽  
pp. 63-72 ◽  
Author(s):  
Gregory Levitin ◽  
Liudong Xing ◽  
Liang Luo
Keyword(s):  
Real Time ◽  
Real Time Computing
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