No description available.

Our research is an exploratory study on how various parameters in the attack, ranging from that of the worm (replication rate), to those of the network (number of nodes, % fire-walled computers) as well as user behaviour (frequency of checking mail) impact the spread of malware. Through the development of a simulator we have created various experiments and have studied the impact of all possible parameters

Les invasions biologiques se sont intensifiées au cours des dernières décennies en raison d’une accélération des échanges commerciaux. Ces invasions représentent une menace pour les écosystèmes et de nombreuses activités anthropiques, il est donc crucial de comprendre les mécanismes qui les sous-tendent afin de mieux prévoir et limiter leurs impacts. Dans cette thèse, j’aborde la question du potentiel dispersif d’espèces natives et non natives impliquées dans une association phorétique nouvellement formée. En particulier, je me focalise sur le cas de l’association entre un nématode invasif ravageur des pinèdes, le nématode du pin (Bursaphelenchus xylophilus) et son insecte vecteur endémique en Europe (Monochamus galloprovincialis). J’ai tout d’abord étudié les flux de gènes de l’insecte vecteur seul afin d’identifier les barrières à sa dispersion. J’ai ensuite simulé l’expansion spatiale du couple nématode-vecteur à l’aide d’un modèle de dispersion, en intégrant l’effet synergique de cette nouvelle association. Les résultats obtenus au cours de cette thèse montrent qu’il existe un important potentiel de dispersion du nématode invasif en Europe par le biais de cette association phorétique. En revanche, certains paramètres de l’environnement tels que les reliefs et les températures basses qui leur sont associées, ainsi que les fortes densités en pins constituent des barrières à la dispersion du vecteur et donc des obstacles potentiels à l’expansion du nématode invasif. Au-delà des apports relatifs au modèle d’étude, cette thèse a conduit au développement de plusieurs méthodes pouvant être adaptées à d’autres cas d’associations phorétiques nouvelles et, par extension, contribuer à la compréhension de la dispersion des espèces au sein de ces systèmes complexes et peu étudiés. / Biological invasions dramatically increased over the last decades due to the intensification of international trade. These invasions constitute a threat for ecosystems and many anthropic activities, therefore it is crucial to understand underlying processes in order to better predict and manage their impacts. In this PhD thesis, I explore the potential of dispersion of native and non-native species involved in a novel phoretic association. I focus on the case of the association between a pest for pine forests, the pinewood nematode (Bursaphelenchus xylophilus) introduced in Europe, and its endemic insect vector (Monochamus galloprovincialis). I first estimated gene flows of the insect vector alone in order to identify the barriers and corridors to dispersal of this species. Then I have simulated the spatial spread of the nematode-vector couple using a spread model, and accounting for the synergistic effect of this novel association. The results obtained during this PhD showed that the invasive nematode has an important potential to spread through this phoretic association. However, some environmental features such as elevation, areas with low temperatures, and the high pine densities constitute barriers to dispersal of the vector and so, potential obstacles to the spread of the invasive nematode. Beyond these results focused on the model of study, this thesis has led to the development of several methods that may be adapted to other cases of novel phoretic association and, by extension, may contribute to a better understanding of dispersal of species involved in those complex and poorly known systems.

Metrogaining is an urban outdoor navigational sport that uses a street map to which scored control points have been added. The objective is to collect maximum score points within a set time by visiting a subset of the scored control points. There is currently no metrogaining scoring standard, only guidelines on how to allocate scores. Accordingly, scoring approaches were explored to create new score sets by using scoring algorithms based on a simple relationship between the score of, and the number of visits to a control point. A spread model, which was developed to evaluate the score sets, generated a range of routes by solving a range of orienteering problems, which belongs to the class of NP-hard combinatorial optimisation problems. From these generated routes, the control point visit frequencies of each control point were determined. Using the visit frequencies, test statistics were subsequently adapted to test the goodness of scoring for each score set. The ndings indicate that the score-visits relationship is not a simple one, as the number of visits to a control point is not only dependent on its score, but also on the scores of the surrounding control points. As a result, the scoring algorithms explored were unable to cope with the complex scoring process uncovered. / Decision Sciences / M. Sc. (Operations Research)

This thesis presents the development and evaluation of a 2D simulation model designed to predict the spread and behavior of forest fires, with a specific focus on Swedish forest ecosystems. Despite the model's simplicity and inherent limitations due to assumptions such as homogeneity in fuel distribution and the exclusion of topographical influences, the simulations yield remarkably accurate predictions of fire spread and intensity. The model integrates basic meteorological data (wind speed and direction, temperature) and uses a discretized spatial approach to simulate the dynamics of forest fires. Initial results suggest that even with minimal input variables and broad assumptions, the model offers significant predictive capabilities, highlighting potential areas for future refinement. Key aspects such as the interaction between conduction and advection terms, the role of water vaporization in fire dynamics, and the influence of wind on fire propagation are discussed. The findings encourage further development of the model, aiming at incorporating more complex variables such as topography and more forest fuels, potentially enhancing its utility in real-time fire management and decision-making processes.