Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering

University of Texas at El Paso

Series

2004

General measurement methodology

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Group-Theoretic Approach As A General Framework For Sensors, Neural Networks, Fuzzy Control, And Genetic Boolean Networks, Hung T. Nguyen, Vladik Kreinovich, Chitta Baral, Valery D. Mazin Apr 2004

Group-Theoretic Approach As A General Framework For Sensors, Neural Networks, Fuzzy Control, And Genetic Boolean Networks, Hung T. Nguyen, Vladik Kreinovich, Chitta Baral, Valery D. Mazin

Departmental Technical Reports (CS)

When describing a system of interacting genes, a useful approximation is provided by a Boolean network model, in which each gene is either switched on or off - i.e., its state is described by a Boolean variable.

Recent papers by I. Shmulevich et al. show that although in principle, arbitrarily complex Boolean functions are possible, in reality, the corresponding Boolean networks can be well described by Boolean functions from one of the so-called Post classes - classes that are closed under composition. These classes were originally described by E. Post.

It is known that the Boolean model is only an …


Towards A General Methodology For Designing Sub-Noise Measurement Procedures, Roberto Osegueda, George R. Keller, Scott A. Starks, R. Araiza, Dm. Bizyaev, Vladik Kreinovich Apr 2004

Towards A General Methodology For Designing Sub-Noise Measurement Procedures, Roberto Osegueda, George R. Keller, Scott A. Starks, R. Araiza, Dm. Bizyaev, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, the measurement result z depends not only on the measured value x, but also on the parameters s describing the experiment's setting and on the values of some auxiliary quantities y; the dependence z=f(x,s,y) of z on x, s, and y is usually known. In the ideal case when we know the exact value of the auxiliary parameter y, we can solve the above equation and find the desired value x. In many real-life situations, we only know y with some uncertainty, and this uncertainty leads to additional uncertainty in x.

If we are trying to …