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» Functional Test Generation for FSMs by Fault Extraction
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ICT
2004
Springer
194views Communications» more  ICT 2004»
14 years 26 days ago
Competitive Neural Networks for Fault Detection and Diagnosis in 3G Cellular Systems
We propose a new approach to fault detection and diagnosis in third-generation (3G) cellular networks using competitive neural algorithms. For density estimation purposes, a given ...
Guilherme De A. Barreto, João Cesar M. Mota...
VISUALIZATION
2003
IEEE
14 years 22 days ago
Visualizing Industrial CT Volume Data for Nondestructive Testing Applications
This paper describes a set of techniques developed for the visualization of high-resolution volume data generated from industrial computed tomography for nondestructive testing (N...
Runzhen Huang, Kwan-Liu Ma, Patrick S. McCormick, ...
MASCOTS
2003
13 years 8 months ago
SPEK: A Storage Performance Evaluation Kernel Module for Block Level Storage Systems
— This paper introduces a new benchmark tool, SPEK (Storage Performance Evaluation Kernel module), for evaluating the performance of block-level storage systems in the presence o...
Ming Zhang, Qing Yang, Xubin He
ICANN
2007
Springer
14 years 1 months ago
Generalized Softmax Networks for Non-linear Component Extraction
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
Jörg Lücke, Maneesh Sahani
AAAI
2010
13 years 7 months ago
Computing Cost-Optimal Definitely Discriminating Tests
The goal of testing is to discriminate between multiple hypotheses about a system--for example, different fault diagnoses--by applying input patterns and verifying or falsifying t...
Anika Schumann, Jinbo Huang, Martin Sachenbacher