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» High performance computing through parallel processing
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CIIA
2009
15 years 8 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
ICPR
2004
IEEE
16 years 8 months ago
FPGA based Real-Time Visual Servoing
Real-time image processing tasks not only require high computing power but also high data bandwidth. Though current processors excel in computing power, memory throughput is still...
Jörg Langwald, Mathias Nickl, Stefan Jör...
VLSID
2002
IEEE
159views VLSI» more  VLSID 2002»
16 years 7 months ago
Challenges in the Design of a Scalable Data-Acquisition and Processing System-on-Silicon
Increasing complexity of the functionalities and the resultant growth in number of gates integrated in a chip coupled with shrinking geometries and short cycle time requirements br...
Karanth Shankaranarayana, Soujanna Sarkar, R. Venk...
ANCS
2007
ACM
15 years 10 months ago
Towards high-performance flow-level packet processing on multi-core network processors
There is a growing interest in designing high-performance network devices to perform packet processing at flow level. Applications such as stateful access control, deep inspection...
Yaxuan Qi, Bo Xu, Fei He, Baohua Yang, Jianming Yu...
TSP
2010
15 years 1 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian