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» Converging on the Optimal Attainment of Requirements
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IPSN
2004
Springer
14 years 1 months ago
Distributed optimization in sensor networks
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Michael Rabbat, Robert D. Nowak
ICC
2009
IEEE
130views Communications» more  ICC 2009»
14 years 2 months ago
A New Reduced Complexity ML Detection Scheme for MIMO Systems
Abstract— For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML) detection requires tremendous complexity as the number of antennas or modulation ...
Jin-Sung Kim, Sung Hyun Moon, Inkyu Lee
ROBOCOMM
2007
IEEE
14 years 2 months ago
Decentralized vehicle routing in a stochastic and dynamic environment with customer impatience
— Consider the following scenario: a spatio-temporal stochastic process generates service requests, localized at points in a bounded region on the plane; these service requests a...
Marco Pavone, Nabhendra Bisnik, Emilio Frazzoli, V...
ALT
1998
Springer
14 years 4 days ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
CSREAESA
2004
13 years 9 months ago
Driving Fully-Adiabatic Logic Circuits Using Custom High-Q MEMS Resonators
To perform digital logic in CMOS in a truly adiabatic (asymptotically thermodynamically reversible) fashion requires that logic transitions be driven by a quasitrapezoidal (flat-t...
Venkiteswaran Anantharam, Maojiao He, Krishna Nata...