This paper is an examination of the horror elements found in Peter Watts’ Blindsight. In depicting an encounter with aliens, this science fiction novel explores topics such as the nature of sentience, mankind’s relationship with technology, posthumanism, and the limitations of the human body and mind. Blindsight also envisions entities (aliens, vampires, and artificial intelligences) capable of interacting with material realities inaccessible to human beings. Using Levi R. Bryant’s machine-oriented ontology, this thesis demonstrates how Watts employs these themes and issues to problematize anthropocentrism and the notion of selfhood. These elements—and more—will be discussed and shown to match the criteria associated with ontological horror.

Depuis la fermeture de Phénix en 2010 le CEA ne possède plus de réacteur au sodium. Vus les enjeux énergétiques et le potentiel de la filière, le CEA a lancé un programme de démonstrateur industriel appelé ASTRID (Advanced Sodium Technological Reactor for Industrial Demonstration), réacteur d’une puissance de 600MW électriques (1500 MW thermiques). L’objectif du prototype est double, être une réponse aux contraintes environnementales et démontrer la viabilité industrielle :• De la filière RNR-Na, avec un niveau de sureté au moins équivalent aux réacteurs de 3ème génération, du type de l’EPR. ASTRID intégrera dès la conception le retour d’expérience de Fukushima ;• Du retraitement des déchets (transmutation d’actinide mineur) et de la filière qui lui serait liée.La sûreté de l’installation est prioritaire, aucun radioélément ne doit être rejeté dans l’environnement, et ce dans toutes les situations. Pour atteindre cet objectif, il est impératif d’anticiper l’impact des nombreuses sources d’incertitudes sur le comportement du réacteur et ce dès la phase de conception. C’est dans ce contexte que s’inscrit cette thèse dont l’ambition est le développement de nouvelles méthodes d’optimisation des cœurs des RNR-Na. L’objectif est d’améliorer la robustesse et la fiabilité des réacteurs en réponse à des incertitudes existantes. Une illustration sera proposée à partir des incertitudes associées à certains régimes transitoires dimensionnant. Nous utiliserons le modèle ASTRID comme référence pour évaluer l’intérêt des nouvelles méthodes et outils développés.L’impact des incertitudes multi-Physiques sur le calcul des performances d’un cœur de RNR-Na et l’utilisation de méthodes d’optimisation introduisent de nouvelles problématiques :• Comment optimiser des cœurs « complexes » (i.e associés à des espaces de conception de dimensions élevée avec plus de 20 paramètres variables) en prenant en compte les incertitudes ?• Comment se comportent les incertitudes sur les cœurs optimisés par rapport au cœur de référence ?• En prenant en compte les incertitudes, les réacteurs sont-Ils toujours considérés comme performants ?• Les gains des optimisations obtenus à l’issue d’optimisations complexes sont-Ils supérieurs aux marges d’incertitudes (qui elles-Mêmes dépendent de l’espace paramétrique) ?La thèse contribue au développement et à la mise en place des méthodes nécessaires à la prise en compte des incertitudes dans les outils de simulation de nouvelle génération. Des méthodes statistiques pour garantir la cohérence des schémas de calculs multi-Physiques complexes sont également détaillées.En proposant de premières images de cœur de RNR-Na innovants, cette thèse présente des méthodes et des outils permettant de réduire les incertitudes sur certaines performances des réacteurs tout en les optimisant. Ces gains sont obtenus grâce à l’utilisation d’algorithmes d’optimisation multi-Objectifs. Ces méthodes permettent d’obtenir tous les compromis possibles entre les différents critères d’optimisations comme, par exemple, les compromis entre performance économique et sûreté. / Since Phenix shutting down in 2010, CEA does not have Sodium Fast Reactor (SFR) in operating condition. According to global energetic challenge and fast reactor abilities, CEA launched a program of industrial demonstrator called ASTRID (Advanced Sodium Technological Reactor for Industrial Demonstration), a reactor with electric power capacity equal to 600MW. Objective of the prototype is, in first to be a response to environmental constraints, in second demonstrates the industrial viability of:• SFR reactor. The goal is to have a safety level at least equal to 3rd generation reactors. ASTRID design integrates Fukushima feedback;• Waste reprocessing (with minor actinide transmutation) and it linked industry.Installation safety is the priority. In all cases, no radionuclide should be released into environment. To achieve this objective, it is imperative to predict the impact of uncertainty sources on reactor behaviour. In this context, this thesis aims to develop new optimization methods for SFR cores. The goal is to improve the robustness and reliability of reactors in response to existing uncertainties. We will use ASTRID core as reference to estimate interest of new methods and tools developed.The impact of multi-Physics uncertainties in the calculation of the core performance and the use of optimization methods introduce new problems:• How to optimize “complex” cores (i.e. associated with design spaces of high dimensions with more than 20 variable parameters), taking into account the uncertainties?• What is uncertainties behaviour for optimization core compare to reference core?• Taking into account uncertainties, optimization core are they still competitive? Optimizations improvements are higher than uncertainty margins?The thesis helps to develop and implement methods necessary to take into account uncertainties in the new generation of simulation tools. Statistical methods to ensure consistency of complex multi-Physics simulation results are also detailed.By providing first images of innovative SFR core, this thesis presents methods and tools to reduce the uncertainties on some performance while optimizing them. These gains are achieved through the use of multi-Objective optimization algorithms. These methods provide all possible compromise between the different optimization criteria, such as the balance between economic performance and safety.

This research proposes, implements and analyses a novel framework for multiobjective optimisation through evolutionary computing aimed at, but not restricted to, real-world problems in the engineering design domain. Evolutionary algorithms have been used to tackle a variety of non-linear multiobjective optimisation problems successfully, but their success is governed by key parameters which have been shown to be sensitive to the nature of the particular problem, incorporating concerns such as the number of objectives and variables, and the size and topology of the search space, making it hard to determine the best settings in advance. This work describes a real-encoded multi-objective optimising evolutionary algorithm framework, incorporating a genetic algorithm, that uses self-adaptive mutation and crossover in an attempt to avoid such problems, and which has been benchmarked against both standard optimisation test problems in the literature and a real-world airfoil optimisation case. For this last case, the minimisation of drag and maximisation of lift coefficients of a well documented standard airfoil, the framework is integrated with a freeform deformation tool to manage the changes to the section geometry, and XFoil, a tool which evaluates the airfoil in terms of its aerodynamic efficiency. The performance of the framework on this problem is compared with those of two other heuristic MOO algorithms known to perform well, the Multi-Objective Tabu Search (MOTS) and NSGA-II, showing that this framework achieves better or at least no worse convergence. The framework of this research is then considered as a candidate for smart (electricity) grid optimisation. Power networks can be improved in both technical and economical terms by the inclusion of distributed generation which may include renewable energy sources. The essential problem in national power networks is that of power flow and in particular, optimal power flow calculations of alternating (or possibly, direct) current. The aims of this work are to propose and investigate a method to assist in the determination of the composition of optimal or high-performing power networks in terms of the type, number and location of the distributed generators, and to analyse the multi-dimensional results of the evolutionary computation component in order to reveal relationships between the network design vector elements and to identify possible further methods of improving models in future work. The results indicate that the method used is a feasible one for the achievement of these goals, and also for determining optimal flow capacities of transmission lines connecting the bus bars in the network.

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South Korea’s security discourse on the nuclear threat posed by North Korea has been dichotomised by its position within the political spectrum between the progressives and conservatives. By drawing upon Securitisation Theory (ST), this study challenges the current security discourse in South Korea, which has divided and misled the public as well as securitising actors. This study examines the security discourses of the Roh Moo-hyun (2003–2008) and Lee Myung-bak (2008–2013) administrations, since they represent the archetypes of the progressives and conservatives respectively. The results of the analysis suggest that the current security discourses that have been prevalent in South Korea do not correspond with reality and, subsequently, the discourses were not able to deal with real challenges that the nuclear threat posed. This research also explains the root cause of the distorted security discourses by applying a ‘discursive chasm’ as a preliminary concept, which indicates a discursive structure that fundamentally impedes the performance of securitising actors’ articulation, and that distorts the discursive formation (securitisation processes). The chasms consist of three elusive discourses: first, a discourse on threats that cannot simply be said to be either imminent or not imminent (nuclear weapons as materiality and discourse); second, a discourse on the other that cannot easily be defined (the difficulty of representation of North Korea); and third, a discourse on measures that cannot easily be realised (intangible extraordinary measures).

This research proposes, implements and analyses a novel framework for multiobjective optimisation through evolutionary computing aimed at, but not restricted to, real-world problems in the engineering design domain. Evolutionary algorithms have been used to tackle a variety of non-linear multiobjective optimisation problems successfully, but their success is governed by key parameters which have been shown to be sensitive to the nature of the particular problem, incorporating concerns such as the number of objectives and variables, and the size and topology of the search space, making it hard to determine the best settings in advance. This work describes a real-encoded multi-objective optimising evolutionary algorithm framework, incorporating a genetic algorithm, that uses self-adaptive mutation and crossover in an attempt to avoid such problems, and which has been benchmarked against both standard optimisation test problems in the literature and a real-world airfoil optimisation case. For this last case, the minimisation of drag and maximisation of lift coefficients of a well documented standard airfoil, the framework is integrated with a freeform deformation tool to manage the changes to the section geometry, and XFoil, a tool which evaluates the airfoil in terms of its aerodynamic efficiency. The performance of the framework on this problem is compared with those of two other heuristic MOO algorithms known to perform well, the Multi-Objective Tabu Search (MOTS) and NSGA-II, showing that this framework achieves better or at least no worse convergence. The framework of this research is then considered as a candidate for smart (electricity) grid optimisation. Power networks can be improved in both technical and economical terms by the inclusion of distributed generation which may include renewable energy sources. The essential problem in national power networks is that of power flow and in particular, optimal power flow calculations of alternating (or possibly, direct) current. The aims of this work are to propose and investigate a method to assist in the determination of the composition of optimal or high-performing power networks in terms of the type, number and location of the distributed generators, and to analyse the multi-dimensional results of the evolutionary computation component in order to reveal relationships between the network design vector elements and to identify possible further methods of improving models in future work. The results indicate that the method used is a feasible one for the achievement of these goals, and also for determining optimal flow capacities of transmission lines connecting the bus bars in the network.

South Korea’s security discourse on the nuclear threat posed by North Korea has been dichotomised by its position within the political spectrum between the progressives and conservatives. By drawing upon Securitisation Theory (ST), this study challenges the current security discourse in South Korea, which has divided and misled the public as well as securitising actors. This study examines the security discourses of the Roh Moo-hyun (2003–2008) and Lee Myung-bak (2008–2013) administrations, since they represent the archetypes of the progressives and conservatives respectively. The results of the analysis suggest that the current security discourses that have been prevalent in South Korea do not correspond with reality and, subsequently, the discourses were not able to deal with real challenges that the nuclear threat posed. This research also explains the root cause of the distorted security discourses by applying a ‘discursive chasm’ as a preliminary concept, which indicates a discursive structure that fundamentally impedes the performance of securitising actors’ articulation, and that distorts the discursive formation (securitisation processes). The chasms consist of three elusive discourses: first, a discourse on threats that cannot simply be said to be either imminent or not imminent (nuclear weapons as materiality and discourse); second, a discourse on the other that cannot easily be defined (the difficulty of representation of North Korea); and third, a discourse on measures that cannot easily be realised (intangible extraordinary measures).

The thesis describes Korean Peninsula political development from 1998 to 2008, in the frame of historical context from 1948 when two independent states were oficially founded. Discussed decade was characterized by the policy of engagement or the sunshine policy of the Republic of Korea, respectively. This represented a concept of friendly relationship towards the DPRK, aiming at final unification. Detailed description of the political development year by year and its evaluation is the subject of this thesis.

No description available.

Pour chercher à mieux résoudre les problèmes de sélectivité des capteurs à base d'oxyde d'étain vis-à- vis des oxydes d'azote (NO_x), trois points ont été étudiés : - Approfondir les connaissances des propriétés des oxydes d'azote que les capteurs sont amenés à détecter : pour cela une étude expérimentale et théorique des gaz présents dans nos conditions opératoires (aspect thermodynamique) et de leurs vitesses de transformation (aspect cinétique) est effectuée. - Comprendre les interactions NO_x-SnO₂ à l'origine de la variation de conductance des capteurs : des études de la conversion des NO_x à la surface du dioxyde d'étain à l'aide d'un réacteur différentiel permettent de préciser le mécanisme réactionnel de la réaction 2 NO + O₂ = 2 NO₂. La caractérisation des espèces adsorbées met en évidence l'adsorption de NO₂ en grande quantité sous la forme nitrate ainsi que le rôle clef de ces espèces dans le mécanisme catalytique. Suite à cette étude, une modélisation des variations de conductance d'un capteur à base de SnO₂ sous NO, NO₂ et O₂ est proposée. - Optimiser les propriétés des capteurs de gaz : apres avoir mis en évidence la forte influence sur la sensibilité du capteur de l'association électrodes-SnO₂, une étude sur les effets de la géométrie des électrodes est effectuée. Aucune amélioration majeure de la sensibilité n'est constatée. Afin de résoudre les problèmes de sélectivité des capteurs vis à vis des NO_x l'ajout de MoO₃ avec SnO₂ est envisagée. Cette ajout permet d'améliorer fortement la sensibilité au monoxyde de carbone et au monoxyde d'azote à 450°C. Il ne résout cependant pas les problèmes de sélectivité. De cette étude l'élaboration d'un capteur NO_x total capable de mesurer la somme des teneurs en NO et NO₂ est envisagée.