In this paper, we reviewed business intelligence in scientific research aspect, its existing tools on the market; its situation in the world and its situation in Algeria. We then analyzed the situation of the business intelligence at SCIMAT company which is our case study. We proposed a moderated monitoring system in management of alerts and monitoring of web pages, management of external events or internal to the production systems (training, conferences...etc.) and its most consistent module; a configurable and customizable survey generator (which we have called STL 1.0) into categories of questions, types of questions, the choice of languages to allow the members of the sample, to better understand the questions and to answer them correctly, come later the statistical calculations which are on several parts; as a positive response rate tables questions, accompanied by charts.We have applied this tool to generate several e-questionnaires or e-surveys that make it possible to make global or regional cartographies on the studied aspects.

In this paper, we reviewed business intelligence in scientific research aspect, its existing tools on the market; its situation in the world and its situation in Algeria. We then analyzed the situation of the business intelligence at SCIMAT company which is our case study. We proposed a moderated monitoring system in management of alerts and monitoring of web pages, management of external events or internal to the production systems (training, conferences...etc.) and its most consistent module; a configurable and customizable survey generator (which we have called STL 1.0) into categories of questions, types of questions, the choice of languages to allow the members of the sample, to better understand the questions and to answer them correctly, come later the statistical calculations which are on several parts; as a positive response rate tables questions, accompanied by charts.We have applied this tool to generate several e-questionnaires or e-surveys that make it possible to make global or regional cartographies on the studied aspects.

The estimation of the junction temperature (Tj) is very important factor for improving the reliability and efficiency of the power electronic converters. A new electro-thermal (ET) model of low voltage power MOSFET is described in this paper. The electro-thermal model allows fast estimation of the junction temperature, based on the transient thermal impedances (Zth) using the (RC) Foster thermal network model and total power losses. The parameters of the (RC) Foster thermal network model are extracted from the data provided by the manufacturer’s datasheet using particle swarm optimization (PSO) method. Moreover, a dc/dc Buck converter is also analyzed by simulation to evaluate the electro-thermal model. The simulation results indicate a good agreement between the proposed model and manufacturer’s data. Finally, the electro-thermal (ET) model simulation using this (RC) Foster thermal network model shows a reasonable accuracy for estimating the junction temperature in a Dc/Dc buck converter.

The estimation of the junction temperature (Tj) is very important factor for improving the reliability and efficiency of the power electronic converters. A new electro-thermal (ET) model of low voltage power MOSFET is described in this paper. The electro-thermal model allows fast estimation of the junction temperature, based on the transient thermal impedances (Zth) using the (RC) Foster thermal network model and total power losses. The parameters of the (RC) Foster thermal network model are extracted from the data provided by the manufacturer’s datasheet using particle swarm optimization (PSO) method. Moreover, a dc/dc Buck converter is also analyzed by simulation to evaluate the electro-thermal model. The simulation results indicate a good agreement between the proposed model and manufacturer’s data. Finally, the electro-thermal (ET) model simulation using this (RC) Foster thermal network model shows a reasonable accuracy for estimating the junction temperature in a Dc/Dc buck converter.

The estimation of the junction temperature (Tj) is very important factor for improving the reliability and efficiency of the power electronic converters. A new electro-thermal (ET) model of low voltage power MOSFET is described in this paper. The electro-thermal model allows fast estimation of the junction temperature, based on the transient thermal impedances (Zth) using the (RC) Foster thermal network model and total power losses. The parameters of the (RC) Foster thermal network model are extracted from the data provided by the manufacturer’s datasheet using particle swarm optimization (PSO) method. Moreover, a dc/dc Buck converter is also analyzed by simulation to evaluate the electro-thermal model. The simulation results indicate a good agreement between the proposed model and manufacturer’s data. Finally, the electro-thermal (ET) model simulation using this (RC) Foster thermal network model shows a reasonable accuracy for estimating the junction temperature in a Dc/Dc buck converter.