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FLAIRS
2008
15 years 8 months ago
Recovering from Inconsistency in Distributed Simple Temporal Networks
Simple Temporal Networks (STNs) are frequently used in scheduling applications, as they provide a powerful and general tool for managing temporal constraints. One obstacle to thei...
Anthony Gallagher, Stephen F. Smith
IJCAI
1997
15 years 7 months ago
Evolvable Hardware for Generalized Neural Networks
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani...
ICIP
2000
IEEE
16 years 7 months ago
Combined Dynamic Tracking and Recognition of Curves with Application to Road Detection
We present an algorithm that extracts the largest shape within a specificclass, starting from a set of image edgels. The algorithm inherits the Best-First Segmentation approach [jp...
Frederic Guichard, Jean-Philippe Tarel
NPC
2005
Springer
15 years 11 months ago
A Performance-Based Parallel Loop Self-scheduling on Grid Computing Environments
Efficient loop scheduling on parallel and distributed systems depends mostly on load balancing, especially on heterogeneous PC-based cluster and grid computing environments. In thi...
Wen-Chung Shih, Chao-Tung Yang, Shian-Shyong Tseng
CDC
2008
IEEE
204views Control Systems» more  CDC 2008»
16 years 16 days ago
Dynamic ping optimization for surveillance in multistatic sonar buoy networks with energy constraints
— In this paper we study the problem of dynamic optimization of ping schedule in an active sonar buoy network deployed to provide persistent surveillance of a littoral area throu...
Anshu Saksena, I-Jeng Wang