Abstract: One of the applications that machine learning can offer to the world of Engineering and Fluid Mechanics in particular is the calibration of models making it possible to approximate the representation of a particular phenomenon. Indeed, the computational cost generated by some fluid mechanics models pushes scientists to use other models close to the original models but less computationally intensive in order to facilitate their handling. Among the different approaches used: machine learning coupled with some optimization methods and algorithms in order to reduce the computation cost induced. This paper proposes a new framework called OPTI-ENS: a new flexible, optimized and improved method, to calibrate a physical model, called the wake oscillator (WO), which simulates the vibratory behaviors of overhead line conductors. An approximation of a heavy and complex model called the strip theory (ST) model. OPTI-ENS is composed of an ensemble machine learning algorithm (ENS) and an optimization algorithm of the WO model so that the WO model can generate the adequate training data as input to the ENS model. ENS model will therefore take as input the data from the WO model and output the data from the ST model. As a benchmark, a series of Machine learning models have been implemented and tested. The OPTI-ENS algorithm was retained with a best Coefficient of determination (R2 Score) of almost 0.7 and a Root mean square error (RMSE) of 7.57e-09. In addition, this model is approximately 170 times faster (in terms of calculation time) than an ENS model without optimization of the generation of training data by the WO model. This type of approach therefore makes it possible to calibrate the WO model so that simulations of the behavior of overhead line conductors are carried out only with the WO model.Abstract: One of the applications that machine learning can offer to the world of Engineering and Fluid Mechanics in particular is the calibration of models making it possible to approximate the representation of a particular phenomenon. Indeed, the computational cost generated by some fluid mechanics models pushes scientists to use other models close to the...Show More
Abstract: The use of Information and Communication Technologies (ICT) is becoming increasingly evident and necessary for updating, streamlining and disseminating professional training processes. Higher education is not exempt from this situation, so its institutions must provide methodological preparation and professional development in this regard. Consequently, there is a need to develop in teachers an improvement that enables the improvement of professional performance by integrating ICT into the professional pedagogical process. The following article addresses in its generality, some of the theoretical references that support the professional performance of the professor of pedagogical careers with a technical profile in the integration of ICTs into the professional pedagogical process, from which it exposes the definition of this process in the pedagogical careers of technical profiles. It is the result of the theoretical systematization carried out on the contents around the use of technologies in the training of education professionals in specialties of this type. In this way, it proposes to the interested researcher, to reflect on the particularities of professional performance, taking into account the integration of ICT, as well as the potential that these offer for its improvement.Abstract: The use of Information and Communication Technologies (ICT) is becoming increasingly evident and necessary for updating, streamlining and disseminating professional training processes. Higher education is not exempt from this situation, so its institutions must provide methodological preparation and professional development in this regard. Conseque...Show More
