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CIIA
2009
13 years 10 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
ICAC
2008
IEEE
14 years 3 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
INFOCOM
2008
IEEE
14 years 3 months ago
Real-Time Video Multicast in WiMAX Networks
Abstract—IEEE 802.16e WiMAX is a promising new technology for broadband access networks. Amongst the class of applications that can be supported is real time video services (such...
Supratim Deb, Sharad Jaiswal, Kanthi Nagaraj
NOSSDAV
2011
Springer
12 years 11 months ago
A measurement study of resource utilization in internet mobile streaming
The pervasive usage of mobile devices and wireless networking support have enabled more and more Internet streaming services to all kinds of heterogeneous mobile devices. However,...
Yao Liu, Fei Li, Lei Guo, Songqing Chen
ICRA
2002
IEEE
94views Robotics» more  ICRA 2002»
14 years 1 months ago
Sensor Planning and Control in a Dynamic Environment
This paper presents an approach to the problem of controlling the configuration of a team of mobile agents equipped with cameras so as to optimize the quality of the estimates de...
John R. Spletzer, Camillo J. Taylor