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ISCAS
1999
IEEE
100views Hardware» more  ISCAS 1999»
15 years 10 months ago
The state space framework for blind dynamic signal extraction and recovery
The paper describes a framework in the form of an optimization of a performance index subject to the constraints of a dynamic network, represented in the state space. The performa...
Fathi M. A. Salam, Gail Erten
HAPTICS
2005
IEEE
16 years 1 days ago
Dynamic Primitive Caching for Haptic Rendering of Large-Scale Models
In this paper we present a software approach to managing complexity for haptic rendering of large-scale geometric models, consisting of tens to hundreds of thousands of distinct g...
Mashhuda Glencross, Roger J. Hubbold, Ben Lyons
ICC
2007
IEEE
141views Communications» more  ICC 2007»
16 years 22 days ago
AMAC: Traffic-Adaptive Sensor Network MAC Protocol through Variable Duty-Cycle Operations
—Sensor network MAC protocols usually employ periodic sleep and wakeup, achieving low duty-cycle to save energy and to increase the lifetime of battery-powered sensor devices. Ho...
Sang Hoon Lee, Joon Ho Park, Lynn Choi
IPSN
2004
Springer
15 years 11 months ago
Sensing uncertainty reduction using low complexity actuation
The performance of a sensor network may be best judged by the quality of application specific information return. The actual sensing performance of a deployed sensor network depe...
Aman Kansal, Eric Yuen, William J. Kaiser, Gregory...
ICPP
1999
IEEE
15 years 10 months ago
Trace-Level Reuse
Trace-level reuse is based on the observation that some traces (dynamic sequences of instructions) are frequently repeated during the execution of a program, and in many cases, th...
Antonio González, Jordi Tubella, Carlos Mol...