Luis Eduardo Mujica

Learn More
In previous works, the authors showed advantages and drawbacks of the use of PCA and ICA by separately. In this paper, a comparison of results in the application of these methodologies is presented. Both of them exploit the advantage of using a piezoelectric active system in different phases. An initial baseline model for the undamaged structure is built(More)
INTRODUCTION There are automated systems for digital peripheral blood (PB) cell analysis, but they operate most effectively in nonpathological blood samples. The objective of this work was to design a methodology to improve the automatic classification of abnormal lymphoid cells. METHODS We analyzed 340 digital images of individual lymphoid cells from PB(More)
This paper presents advantages of using techniques like principal component analysis (PCA), partial least square (PLS) and some extensions called multiway PCA (MPCA) and multiway PLS (MPLS) for reducing dimensionality in damage identification problem, in particular, detecting and locating impacts in a part of a commercial aircraft wing flap. It is shown(More)
A hybrid system which combines Self Organizing Maps and Case Based Reasoning is presented and apply to Structural Assessment. Self Organizing Maps are trained as a classification tool in order to organize the old cases in memory with the purpose of speeding up the Case Based Reasoning process. Three real structures have been used: An aluminium beam, a pipe(More)
This paper describes a soft computing approach to solve the damage identification problem using Case-Based Reasoning (CBR) to obtain an initial diagnostic exploiting the outcomes given in known structure models simulations and the data acquired by the sensors in operating conditions once the system has started. It creates an incremental database (since a(More)
  • 1