Les travaux de thèse portent sur la conception et la réalisation d'un circuit intégré de commande rapprochée générique pour les transistors à grille isolée comme les MOSFETs et les IGBTs dans les structures de conversion d'énergie de l'électronique de puissance. L'objectif principal est de concevoir un système de commande simple à mettre en oeuvre, compact et configurable pouvant servir un panel varié d'applications dites multi-transistors. Le mémoire de thèse se structure en quatre chapitres : état de l'art de la commande rapprochée des transistors à grille isolée, présentation et validation d'une nouvelle topologie de commande rapprochée à base de transformateur d'impulsion, présentation et validation d'une version améliorée pour travailler à large spectre de fréquence et de rapport cyclique, conception et validation du driver intégré générique. Les champs d'application de ce concept du driver sont multiples, celui-ci favorise la simplicité de la conception et de la mise en oeuvre des système de commande pour l'électronique de puissance. / The thesis work focuses on the design and the implementation of a generic integrated gate driver circuit for power transistors such as MOSFETs and IGBTs in power conversion structure. The main objective is to design a control system which is simple to implement, compact and can be configurable to serve several multi-transistors applications. The thesis is structured into four chapters: state of the art of the gate driver for power transistor, presentation and validation of a new gate driver topology based on pulse transformer, presentation and validation of an upgraded version enable to work with wider range of frequency and duty cycle, design and validation of a generic integrated driver. The fields of application of this driver concept are multiples; it promotes the simplicity of the design and implementation of control system for power electronics.

abstract: Driving is the coordinated operation of mind and body for movement of a vehicle, such as a car, or a bus. Driving, being considered an everyday activity for many people, still has an issue of safety. Driver distraction is becoming a critical safety problem. Speed, drunk driving as well as distracted driving are the three leading factors in the fatal car crashes. Distraction, which is defined as an excessive workload and limited attention, is the main paradigm that guides this research area. Driver behavior analysis can be used to address the distraction problem and provide an intelligent adaptive agent to work closely with the driver, fay beyond traditional algorithmic computational models. A variety of machine learning approaches has been proposed to estimate or predict drivers’ fatigue level using car data, driver status or a combination of them. Three important features of intelligence and cognition are perception, attention and sensory memory. In this thesis, I focused on memory and attention as essential parts of highly intelligent systems. Without memory, systems will only show limited intelligence since their response would be exclusively based on spontaneous decision without considering the effect of previous events. I proposed a memory-based sequence to predict the driver behavior and distraction level using neural network. The work started with a large-scale experiment to collect data and make an artificial intelligence-friendly dataset. After that, the data was used to train a deep neural network to estimate the driver behavior. With a focus on memory by using Long Short Term Memory (LSTM) network to increase the level of intelligence in two dimensions: Forgiveness of minor glitches, and accumulation of anomalous behavior., I reduced the model error and computational expense by adding attention mechanism on the top of LSTM models. This system can be generalized to build and train highly intelligent agents in other domains. / Dissertation/Thesis / Doctoral Dissertation Computer Engineering 2020

Traumatic brain injuries (TBIs) are injuries to the brain associated with the transfer of energy from some external source. There are an estimated 1.4 million TBIs each year, and about half are due to transportation crashes (NINDS, 2007). Driver distraction is defined as a process or condition that draws a driver's attention away from driving activities toward a competing activity (Sheridan, 2004) and has been identified as an under-examined issue for TBI populations (Cyr, et al., 2008). The interaction between the cognitive impairments related to TBIs and the competing demands from driver distraction may be especially problematic. The goal of this dissertation is to investigate the effect of driver distraction on individuals with TBI. This dissertation uses several approaches and data sources: crash data, a TBI registry, a survey of TBI drivers, and an on-road driving study of TBI and non-TBI drivers. Results demonstrate that a subset of TBI drivers are more willing to engage in distracting tasks and they are more likely to have received speeding tickets. TBI drivers involved in crashes were less likely to wear seatbelts and were more likely to be involved in multiple crashes compared to all other drivers in crashes. Additionally, a subset of TBI drivers exhibits more risk-taking while driving that may result from the TBI or a predisposition to take risks. A Bayesian approach was used to analyze the effect of distracting tasks on driving performance of TBI drivers in an on-road study. A simulator study of non-TBI drivers was used to develop prior distributions of parameter estimates. The distracting tasks include a CD selecting task, a coin sorting task, and a radio tuning task. All of the tasks contained visual-manual components and the coin sorting task contained an additional cognitive component associated with counting the currency. This suggests that TBI drivers exhibited worse driving performance during a coin sorting task than the non-TBI drivers in terms of the standard deviation of speed and maximum lateral acceleration of the vehicle. This suggests that the cognitive component of the coin sorting task may be causing the decreased performance for the TBI drivers. Across all tasks, TBI drivers spent a larger percent of the task duration looking at the task with a larger number of glances towards the distraction task than the non-TBI drivers. Driver distractions with cognitive components may be especially problematic for TBI drivers. Future work should investigate if this effect is consistent across more complex cognitive driver distraction tasks (e.g., cell phone usage) for this population. Additionally, future work should validate the high proportion of TBI drivers involved in multiple crashes.

Distracted driving is a dangerous activity that continues to claim lives on roadways throughout the United States. A goal of this research was to collect distracted driving behavior data through observation in the field. A methodological approach was devised to keep data collection consistent across the observation periods. Analysis of the data provided information regarding trends in distraction type or driving behavior while engaging in a secondary activity. In combination with the observational portion of this research, another key component to understanding distracted driving was the crash report narrative key word search. By searching through the crash reports, it was determined which key words have high discriminating powers that indicate distraction was a key component to a crash. Additionally, the key word search demonstrated how accurately distraction related crashes are reported via the crash report form. This research contributed to the existing literature regarding distracted driving and also expanded the methods of research that are currently in use.

This thesis deals with the design and subsequent realization of laser diode control devices. The circuit will be able to control the diode with using a laser driver, via a computer network or via the display for control current values, setting of initial values and more. The device will be connected also with a SD card for saving of settings. In the theoretical part there are described individual components that are needed for functionality of the device. The practical part contains a block diagram, in which is described complete feature of the device, then a draft scheme with a description of all integrated circuits and important components. At the end of this work is described the software that controls the entire designed device.

The masters thesis was focused on design and realization power converter which should worked as welding machine. It was necessary choose suitable type converter. Next, it was needs design of pulsed transformer, output filter choke and design of semiconductors which were in power part welding machine. It was also designed control and driver circuits. This parts which were used on construct the converter were made and tested too.

The theoretical part of this thesis deals with the description of sensory processes, human eye and visual perception. The following are traffic participant and get data using the method of eye tracking. The practical part consisted in the evaluation of driving video recordings describing the driver's observation. The frequency and length of the pedestrian observation was evaluated, and the graphical processing was performed depending on whether the pedestrian actually crossed the road or simulated walking on the side of the roadway.

The diploma thesis deals with the analyses of food consumption influence on driver´s perception reaction time. It describes the food and drink consumption while driving, factors influencing driver´s performance, activities disturbing the driver, foreign researches and studies aimed at distracting stimuli. Practical part of the thesis is focused on driving tests of chosen driver of certain age group in current traffic, interpretation and evaluation of reaction times while driving with no distracting stimuli comparing to driving influenced by food consumption. All the data are concluded in the summary where it´s confirmed that reaction times are significantly prolonged when drivers have a snack while driving a vehicle.

The aim of this Master thesis is create an expansion module with TFT touch screen display for educational Mierva platform. Low level driver and graphical user interface library will be developed for this module. GUI library enables user to design an graphical application in easy way.

The aim of this thesis is to design a step-up DC/AC converter, an inverter from 12 V to 120 Vrms, with a sinus output signal. The converter should deliver a continuous performance of 300 W and a double peak power output of 600 W. The supposed usage of this inverter would be as a back-up power source for the circulatory pump of the central heating in the case of power outage. The inverter is consisting of a T-type power section.