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CORR
2007
Springer
135views Education» more  CORR 2007»
15 years 7 months ago
Detailed Network Measurements Using Sparse Graph Counters: The Theory
— Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that m...
Yi Lu, Andrea Montanari, Balaji Prabhakar
IJCSA
2007
100views more  IJCSA 2007»
15 years 6 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
TNN
1998
111views more  TNN 1998»
15 years 6 months ago
Modular recurrent neural networks for Mandarin syllable recognition
Abstract—A new modular recurrent neural network (MRNN)based speech-recognition method that can recognize the entire vocabulary of 1280 highly confusable Mandarin syllables is pro...
Sin-Horng Chen, Yuan-Fu Liao
PUC
2008
174views more  PUC 2008»
15 years 6 months ago
A wireless sensor networks MAC protocol for real-time applications
Abstract Wireless sensor networks (WSN) are designed for data gathering and processing, with particular requirements: low hardware complexity, low energy consumption, special traff...
Esteban Egea-López, Javier Vales-Alonso, Al...
TDSC
2010
101views more  TDSC 2010»
15 years 5 months ago
Steward: Scaling Byzantine Fault-Tolerant Replication to Wide Area Networks
—This paper presents the first hierarchical Byzantine fault-tolerant replication architecture suitable to systems that span multiple wide area sites. The architecture confines ...
Yair Amir, Claudiu Danilov, Danny Dolev, Jonathan ...