Detección del tipo de terreno sobre el que transita un Rover, a través de la aplicación de técnicas de machine learning

Patarroyo Godoy, Laura Melisa | 2024

Microcomputadores en ingeniería estructural

Uribe Escamilla, Jairo | 1995

El impresionante desarrollo de las computadoras personales ha causado un impacto profundo en los procedimientos de análisis y diseños de estructuras. Si bien esto ha facilitado enormemente su cálculo mediante el uso de programas comerciales muy poderosos, se corre el riesgo de que los utilicen ingenieros sin la experiencia suficiente que les permita detectar posibles errores en los resultados. Ello se debe, en su mayoría, al aplicar equivocadamente el modelo matemático utilizado en dichos programas a estructuras que no cumplen los supuestos involucrados. Es por eso que los códigos de diseño de la mayoría de lo países exigen como lo hace en Colombia la norma AIS 100-95, que cuando se utilicen procedimientos de cálculo electrónico sea obligación del ingeniero conocer a fondo los fundamentos bajo los cuales se desarrollaron los programas utilizados y las suposiciones que el programa utiliza internamente, con sus correspondientes limitaciones. Microcomputadoras en ingeniería estructural fue escrito con ese propósito.

On Distributed Collaboration for Biomedical Analyses

Boujdad, Fatima-Zahra | 2019

Cooperation of research groups is nowadays common for the development and execution of biomedical analyses. Multiple partners contribute data in this context, data that is often centralized for processing at some cluster-based or supercomputer-based infrastructure. In contrast, real distributed collaboration that involves processing of data from several partners at different sites is rare. However, such distributed analyses are often very interesting, in particular, for scalability, security and privacy reasons. In this article, we motivate the need for real distributed biomedical analyses in the context of several ongoing projects, including the ICAN project that involves 34 French hospitals and affiliated research groups. We present a set of distributed architectures for such analyses that we have derived from discussions with different medical research groups and a study of related work. These architectures allow for scalability, security/privacy and reproducibility issues to be taken into account. Finally, we illustrate that these architectures can serve as the basis of a development method for biomedical distributed analyses.

On Distributed Collaboration for Biomedical Analyses

Boujdad, Fatima-Zahra | 2019

Cooperation of research groups is nowadays common for the development and execution of biomedical analyses. Multiple partners contribute data in this context, data that is often centralized for processing at some cluster-based or supercomputer-based infrastructure. In contrast, real distributed collaboration that involves processing of data from several partners at different sites is rare. However, such distributed analyses are often very interesting, in particular, for scalability, security and privacy reasons. In this article, we motivate the need for real distributed biomedical analyses in the context of several ongoing projects, including the ICAN project that involves 34 French hospitals and affiliated research groups. We present a set of distributed architectures for such analyses that we have derived from discussions with different medical research groups and a study of related work. These architectures allow for scalability, security/privacy and reproducibility issues to be taken into account. Finally, we illustrate that these architectures can serve as the basis of a development method for biomedical distributed analyses.