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FLAIRS
2008
15 years 5 days 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
14 years 11 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
15 years 11 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 3 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»
15 years 4 months 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