Les travaux présentés visent à améliorer les modèles de physique nucléaireutilisés dans l’évaluation des sections efficaces neutroniques de fission. Le résultat deces travaux donne les clefs pour une percée significative dans ce domaine et a permisd’étendre fortement les capacités du code d’évaluation CONRAD. Les sections partiellesétant naturellement corrélées entre-elles pour respecter la valeur de la section totale, cesaméliorations bénéficient à l’ensemble des sections partielles. Un cadre solide pour lamodélisation des processus concurrent à la fission a dû être établi sur le modèle du codede référence TALYS. Après s’être assuré de la fiabilité et de la cohérence du cadre, lesinvestigations spécifiques concernant la fission ont pu être réalisées. Les perspectivesd’applications offertes par les modèles macro-microscopiques FRDM et FRLDM ont étéanalysées. Ces modèles ont été implémentés et validés sur des données expérimentaleset des benchmarks. Afin d’obtenir des temps de calcul compatibles avec les besoins del’évaluation, des méthodes numériques sophistiquées ont été sélectionnées et une partiedes calculs a été portée sur GPU. Ces modèles macro-microscopiques peuvent être utiliséspour construire des surfaces d’énergie potentielle qui sont à leur tour traitées afin d’obtenirdes barrières de fission à une dimension, puis des coefficients de transmission fission. Cesderniers sont alors utilisés dans le cadre de modélisation des sections efficaces moyennesdu domaine statistique sur la base d’un modèle Hauser-Feshbach. Les résultats de cetteapproche seront présentés sur le cas du 239Pu(n,f). / The work presented here aims to improve models used in the fission crosssectionevaluation. The results give insights for a significant breakthrough in this fieldand yielded large extensions of the evaluation code CONRAD. Partial cross sections areinherently strongly correlated together as of the competition of the related reactions mustyield the total cross section. Therefore improving fission cross section benefits to all partialcross sections. A sound framework for the simulation of competitive reactions hadto be settled in order to further investigate on the fission reaction; this was implementedusing the TALYS reference code as guideline. After ensuring consistency and consistencyof the framework, focus was made on fission. Perspective resulting from the useof macroscopic-microscopic models such as the FRDM and FRLDM were analyzed; thesemodels have been implemented and validated on experimental data and benchmarks. Tocomply with evaluation requirements in terms of computation time, several specific numericalmethods have been used and parts of the program were written to run on GPU.These macroscopic-microscopic models yield potential energy surfaces that can be used toextract a one-dimensional fission barrier. This latter can then be used to obtained fissiontransmission coefficients that can be used in a Hauser-Feshbach model. This method hasbeen finally tested for the calculation of the average fission cross section for 239Pu(n,f).

This diploma thesis deals with the design and control of the mobile robot with caterpillar tracks on the basis of information obtained via infrared thermocouple. The work includes firmware implementation for robot chassis control and communication with the sensors used. The functionality of the proposed system is demonstrated on a robotic task when the robot is searching the source of excessive heat within his surroundings. The theoretical part deals with the basic description of the common robotic chassis, contactless temperature measurement, further analysis of the components used and their principles. The practical part is devoted to the firmware implementation and detailed description of selected problems. In the end of the thesis there is a summarization of the achievements and the success of the robot while detection of the suspicious objects with high surface temperature.

This diploma thesis deals with the design and implementation of an electronic module for acoustic detection. The module has the task of detecting a predetermined acoustic signals through them learned classification model. The module is used mainly for security purposes. To identify and classify the proposed model using machine learning techniques. Given the possibility of retraining for a different set of sounds, the module becomes a universal sound detector. With acoustic sound using the digital MEMS microphone, for which it is designed and implemented conversion filter. The resulting system is implemented into firmware microcontroller with real time operating system. The various functions of the system are realized with regard to the possible optimization (less powerful MCU or battery power). The module transmits the detection results of the master station via Ethernet network. In the case of multiple modules connected to the network to create a distributed system, which is designed for precise time synchronization using PTP protocol defined by the IEEE-1588 standard.