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CJ
2008
108views more  CJ 2008»
13 years 4 months ago
Computing with Time: From Neural Networks to Sensor Networks
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
Boleslaw K. Szymanski, Gilbert Chen
NCA
2008
IEEE
13 years 4 months ago
The application of ridge polynomial neural network to multi-step ahead financial time series prediction
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsi...
ICANN
1997
Springer
13 years 9 months ago
Real-Time Analog VLSI Sensors for 2-D Direction of Motion
Optical ow elds are a primary source of information about the visual scene in technical and biological systems. In a step towards a system for real time scene analysis we have deve...
Rainer A. Deutschmann, Charles M. Higgins, Christo...
SENSYS
2004
ACM
13 years 10 months ago
Power - time optimal algorithm for computing FFT over sensor networks
bstract: Power - Time Optimal Algorithm for Computing FFT over Sensor Networks Categories and Subject Descriptors C.2.1 [Network Architecture and Design] Wireless Communication, Di...
Turkmen Canli, Mark Terwilliger, Ajay K. Gupta, As...
EVOW
2009
Springer
13 years 8 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun