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Visar resultat 1 - 5 av 40 uppsatser innehållade orden « tout ».

  1. 1. Une évolution stylistique : Une étude comparative et herméneutique de La Tentation desaint Antoine à travers le regard de Maxime du Camp et Louis Bouilhet

    Kandidat-uppsats, Högskolan Dalarna/Institutionen för språk, litteratur och lärande

    Författare :Mehdi Hachichi; [2023]
    Nyckelord :Maxime du Camp; Louis Bouilhet; Gustave Flaubert; fairy play; style; evolution; lyricism; realism; romanticism; Maxime du Camp; Louis Bouilhet; Gustave Flaubert; féerie; lyrisme; style; évolution; réalisme; romantisme;

    Sammanfattning : Ce m�moire consiste en une analyse herm�neutique et comparative des trois versions r�alis�es par Gustave Flaubert concernant son ?uvre La Tentation de saint Antoine. Cette analyse sera faite � travers l'aide et le regard de Maxime du Camp et Louis Bouilhet et leurs critiques de l'�volution stylistique de Gustave Flaubert � travers ces trois versions auxquelles l?auteur a travaill� tout au long de sa carri�rede 1849 � 1874. LÄS MER

  3. 2. Calibration and preparation of the data analysis of the DORN experiment on board the Chang'E 6 lunar mission.

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Íñigo de Loyola Chacartegui Rojo; [2023]
    Nyckelord :Radon; lunar mission; alpha spectrometry; space instrumentation; performance testing and validation;

    Sammanfattning : As part of the first agreement between the French (CNES) and the Chinese (CNSA) space agencies in terms of space exploration, the DORN instrument will fly on board the Chinese Chang'E 6 mission in 2024. It aims to measure the amount of Radon escaping from the lunar soil to better understand what governs the concentration of this noble gas which contributes to the endogenous origin of the lunar exosphere. LÄS MER

  4. 3. Embodying the transformation: An exploration of the role of art-based approaches in achieving a just and sustainable city through citizen participation in Malmö

    Master-uppsats, Lunds universitet/LUCSUS

    Författare :Rabea Sorka Sophie Tzschabran; [2023]
    Nyckelord :sustainability science; creative placemaking; experiential learning; inner transformation; Social Sciences;

    Sammanfattning : The exposure of societies to climate change requires cities to adequately respond to increasing environmental pressures while ensuring the well-being of citizens. Here, sustainable urban planning is an important tool. LÄS MER

  5. 4. Role Based Access Control (RBAC) in the context of Smart Grids : Implementing and Evaluating a Role Based Access Control System for Configuration Loading in a Substation from a Desktop

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gatien Ducornaud; [2023]
    Nyckelord :Role Based Access Control RBAC ; Cybersecurity; Smart Grid; Substation; Desktop Applications; Contrôle d’accès basé sur les rôles RBAC ; Cybersécurité; Réseau électrique intelligent; Sous-Station; Application Desktop; Rollbaserad åtkomstkontroll RBAC ; Cybersäkerhet; Smarta nät; Transformatorstation; datorapplikation;

    Sammanfattning : Access control is a crucial aspect of cybersecurity, and Role Based Access Control (RBAC) is a typical framework for controlling the access to specific resources. However, in the context of Smart Grids, the usual authentication solution of using a trusted identity provider might not be possible to provide authentication of a user, as systems cannot rely on external services. LÄS MER

  7. 5. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Victor Sanchez; [2023]
    Nyckelord :Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

    Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER