This paper describes an approach for solving differential Riccati equations (DRE), by means of the backward differentiation formula (BDF) and resolution of the corresponding implicit equation using Newton’s method with a ...

The work described in this paper tackles the problem of data mining and classification of large amounts of data using the K nearest neighbours classifier (KNN) [1]. The large computing demand of this process is solved with ...

The main advantage of Grid computing over other distributed computing paradigms is its capability to coordinate the access to data and resources in a virtual multi-institutional environment. To this end, the information ...

Differential Riccati equations play a fundamental role in control theory, for example, optimal control, filtering and estimation, decoupling and order reduction, etc. In this paper several algorithms for solving differential ...

This paper presents a general energy management system for High Performance Computing (HPC) clusters and cloud infrastructures that powers off cluster nodes when they are not being used, and conversely powers them on when ...

La ejecución de experimentos con BLAST, una de las herramientas bioinformáticas más utilizadas, requiere recursos computacionales que exceden los recursos de la mayoría de centros de investigación. Esta tesis se centra en ...

Microbial contamination during extraction is an important control point in the production of sugar. It is associated with significant losses of sugar, increased production of molasses and, ultimately, a decline in the ...

Biomedical applications are often built on top of knowledge bases that contain medical images and clinical reports. Currently, these bases are being used to improve diagnosis, research and teaching, but in many cases, the ...

Los importantes avances en la investigación, de numerosas áreas de conocimiento, han venido propiciados por una mejora en las estrategias de computación empleadas. A modo de ejemplo, la Computación de Altas Prestaciones ...

The integration of multi-centre medical image data to create knowledge repositories for research and training activities has been an aim targeted since long ago. This paper presents an environment to share, to process ...