Literatura científica selecionada sobre o tema "Mesures d'Internet"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Consulte a lista de atuais artigos, livros, teses, anais de congressos e outras fontes científicas relevantes para o tema "Mesures d'Internet".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Artigos de revistas sobre o assunto "Mesures d'Internet"
Luzak, Joasia. "Much Ado about Cookies: The European Debate on the New Provisions of the ePrivacy Directive regarding Cookies". European Review of Private Law 21, Issue 1 (1 de janeiro de 2013): 221–45. http://dx.doi.org/10.54648/erpl2013007.
Texto completo da fonteVan Poppel, Frans. "Seasonality of work, religion and popular customs: the seasonality of marriage in the nineteenth- and twentieth-century Netherlands". Continuity and Change 10, n.º 2 (agosto de 1995): 215–56. http://dx.doi.org/10.1017/s0268416000002678.
Texto completo da fonteTeses / dissertações sobre o assunto "Mesures d'Internet"
Salutari, Flavia. "Longitudinal, large-scale and unbiased Internet measurements". Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT023.
Texto completo da fonteToday, a world without the Internet is unimaginable. By interconnecting billions of people worldwide and by offering an uncountable number of services, it is now fully embedded in the modern society. Yet, despite technology evolution and development, its pervasiveness and heterogeneity still raise new challenges, such as security concerns, monitoring of the users' Quality of Experience (QoE), care for transparency and fairness. Accordingly, the goal of this thesis is to shed new light on some of the challenges emerged in recent years. In particular, we provide an in-depth analysis of some of the most prominent aspects of modern Internet. A particular emphasis is given on the World Wide Web, which among all, is undoubtedly one of the most popular Internet applications, and a specific regard to its interaction with machine learning. The first part of this work studies the Quality of Experience of users' browsing the Web, with measurements led both in the wild and in controlled environments. Our contributions follow with an original analysis of both the subjective user feedback and the objective QoE metrics, showing how hard it is to build accurate supervised data-driven models capable to predict the user satisfaction, along with an in-depth discussion of the multi-modal nature of the subjective user opinions.In the second part of this work, we analyze and discuss the fairness of state-of-the-art transformer-based language models, which are pre-trained on Web-based corpora and which are typically used to solve a wide variety of Natural Language Processing (NLP) tasks. Here, we question whether the sheer size and heterogeneity of the Web guarantee diversity in the models. The core of our contributions rests in the measure of the bias embedded in the models, that we discuss under different angles. Finally, the last part of this dissertation addresses the classification of objects generated by machines through some of the simplest state-of-the-art supervised machine learning algorithms. Through a minimally intrusive, robust and lightweight framework, we show that the different behaviors of a field of the IP packet, the IP identification (IP-ID), could be easily classified with few features having high discriminative power. We finally apply our technique to an Internet-wide census and provide an updated view of the adoption of the different implementations in the Internet
Gouel, Matthieu. "Internet-Scale Route Tracing Capture and Analysis". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS160.
Texto completo da fonteThe Internet is one of the most remarkable human creations, enabling communication among about two thirds of the global population. This network of networks spans the entire globe and is managed in a highly decentralized way, making it impossible to fully comprehend at IP-level. Nonetheless, for over two decades, researchers have been devising new techniques, developing new tools, and creating new platforms to capture and provide more precise and comprehensive maps of the Internet's topology. These efforts support network operators in the industry and other researchers in improving core features of the Internet such as its connectivity, performance, security, or neutrality. This thesis presents new contributions that improve the scalability of Internet topology measurement. It introduces a state of the art measurement platform that enables the use of high-speed probing techniques for IP route tracing at Internet scale, as well as a reinforcement learning approach to maximize the discovery of the Internet topology. Because the analysis of the route tracing data collected requires additional metadata, the evolution of IP address geolocation over a 10-year period in a widely used proprietary database is examined, and lessons are provided to avoid biases in studies using this database. Finally, a large-scale analysis framework is developed to effectively utilize the large number of collected data and augmented metadata from other sources, such as IP address geolocation, to produce insightful studies at the Internet scale. This work aims to considerably improve the study of the Internet topology by providing tools to collect and analyze large amounts of Internet topology data. This will allow researchers to better understand how the Internet is structured and how it evolves over time, leading to a more comprehensive understanding of this complex system
Kauffmann, Bruno. "Problèmes inverses dans les réseaux". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2011. http://tel.archives-ouvertes.fr/tel-00824860.
Texto completo da fonteAmoussou-Guenou, Yackolley. "Gouvernance des biens communs dans les blockchains". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS043.
Texto completo da fonteBlockchains are one of the most appealing technologies over the last years, both for scientists and for the general public. Blockchains are distributed ledgers that aim to offer transparency, integrity and many more advantages over their centralised counterparts. Blockchains were “revealed” and became popular thanks to the creation and rise of the cryptocurrency Bitcoin. Over the years, blockchain technologies become more and more popular with an exceptional peak in 2017. Blockchains are becoming mainstream technologies, as there is an observatory for blockchains established by the European Commission, blockchain forums in many countries, blockchain start-ups are flourishing, scientific conferences are discussing the topic, and even some scientific conferences are now specifically dedicated to the technology, etc. The blockchain technology promises, thanks to its integrity and transparency properties to be useful and interesting in various domains, and not only for financial systems. However, many questions and doubts float around it. Is it environmentally viable? Is the technology even ensuring its promises? Can they be used in real-life settings, etc. In this thesis, using the lens of distributed systems, we study and define the properties of committee-based blockchains and their fairness; that definition allows formalising and helping correct one of the most used blockchain of that class. Furthermore, adding lenses from game theory, we propose a methodology to analyse the rational behaviours of participants in a blockchains system. Using that methodology, we show, under different mechanisms of rewards, the necessary conditions needed to ensure the blockchain properties
HYKRDA, RADEK. "Calorimetrie des systemes d'interet environnemental aux basses et hautes temperatures : procedures de mesures et systemes de regulation". Clermont-Ferrand 2, 2000. http://www.theses.fr/2000CLF22208.
Texto completo da fonteABOUELAZIZ, HASSAN. "Utilisation de la technique falp-ms pour la mesure des coefficients de vitesse de recombinaison dissociative d'ions d'interet astrophysique". Rennes 1, 1993. http://www.theses.fr/1993REN10099.
Texto completo da fonteRégalia-Jarlot, Laurence. "Mesures a l'aide d'un spectrometre par transformation de fourier, des intensites et coefficients d'elargissement de molecules d'interet atmospherique. Etude des precisions : application a n#2o, h#2o, o#3". Reims, 1996. http://www.theses.fr/1996REIMS027.
Texto completo da fonteLaconi, Stéphanie. "Addiction à internet : définitions et évaluations". Thesis, Toulouse 2, 2014. http://www.theses.fr/2014TOU20085.
Texto completo da fonteInternet addiction has been the subject of numerous studies worldwide, during the last twenty years. Yet, no consensus on its definition or diagnosis criteria has been admitted, which therefore is triggering numerous debates. The present research aims to study the conceptualization of Internet addiction mainly through its assessment tools, and to fill in the lack of empirical data among French samples.Study 1 - Aim: To assess the measurement tools for Internet addiction and their psychometric properties. Results: Forty-five tools assessing Internet addiction were identified, of which only seventeen had been evaluated more than once in terms of their psychometric properties. Most of the existing scales for Internet addiction require further validation work. Despite criticism, the Internet Addiction Test (IAT) appears to be the scale with the most empirical support. However, numerous promising scales warrant further examination.Study 2 - Aim: To evaluate the psychometric properties of the Online Cognition Scale (OCS). Results: Confirmatory factorial analyses showed that the 4-factor solution did not demonstrate satisfactory fit but the 5-factor model was found to better fit the data. Our results revealed that the scale scores demonstrated excellent internal consistency and satisfying inter-item correlation and test-retest reliability. The OCS was significantly correlated with the IAT, time spent online and depressive symptoms at both time points.Study 3 - Aim: To evaluate the psychometric properties of the Generalized Problematic Internet Use Scale-2 and the relevance of the Generalized Problematic Internet Use (GPIU) model among French users. Results: Path analysis provided support for this conceptual model of problematic Internet use, and a good fit to the data. The psychometric properties of the French version of the GPIUS-2 were satisfying, including reliability, concurrent and convergent validities, suggesting the usefulness of this multidimensional tool.Study 4 - Aim: To explore the relationship between GPIU and Specific Problematic Internet Uses (SPIU) Results: Our analysis revealed significant relationships between GPIU, psychopathological symptoms and most of SPIU, with many differences according to gender and age. SPIUcommunication scores significantly predict GPIU scores among the whole sample, whereas SPIUinformation seeking and gaming, and depressive symptoms were only significant among women, men and young adults, and SPIUconsumption of video/music and time spent online, among women and young adults
Boukhaled, Mohamed Amine. "On Computational Stylistics : mining Literary Texts for the Extraction of Characterizing Stylistic Patterns". Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066517/document.
Texto completo da fonteThe present thesis locates itself in the interdisciplinary field of computational stylistics, namely the application of statistical and computational methods to the study of literary style. Historically, most of the work done in computational stylistics has been focused on lexical aspects especially in the early decades of the discipline. However, in this thesis, our focus is put on the syntactic aspect of style which is quite much harder to capture and to analyze given its abstract nature. As main contribution, we work on an approach to the computational stylistic study of classic French literary texts based on a hermeneutic point of view, in which discovering interesting linguistic patterns is done without any prior knowledge. More concretely, we focus on the development and the extraction of complex yet computationally feasible stylistic features that are linguistically motivated, namely morpho-syntactic patterns. Following the hermeneutic line of thought, we propose a knowledge discovery process for the stylistic characterization with an emphasis on the syntactic dimension of style by extracting relevant patterns from a given text. This knowledge discovery process consists of two main steps, a sequential pattern mining step followed by the application of some interestingness measures. In particular, the extraction of all possible syntactic patterns of a given length is proposed as a particularly useful way to extract interesting features in an exploratory scenario. We propose, carry out an experimental evaluation and report results on three proposed interestingness measures, each of which is based on a different theoretical linguistic and statistical backgrounds
Boukhaled, Mohamed Amine. "On Computational Stylistics : mining Literary Texts for the Extraction of Characterizing Stylistic Patterns". Electronic Thesis or Diss., Paris 6, 2016. http://www.theses.fr/2016PA066517.
Texto completo da fonteThe present thesis locates itself in the interdisciplinary field of computational stylistics, namely the application of statistical and computational methods to the study of literary style. Historically, most of the work done in computational stylistics has been focused on lexical aspects especially in the early decades of the discipline. However, in this thesis, our focus is put on the syntactic aspect of style which is quite much harder to capture and to analyze given its abstract nature. As main contribution, we work on an approach to the computational stylistic study of classic French literary texts based on a hermeneutic point of view, in which discovering interesting linguistic patterns is done without any prior knowledge. More concretely, we focus on the development and the extraction of complex yet computationally feasible stylistic features that are linguistically motivated, namely morpho-syntactic patterns. Following the hermeneutic line of thought, we propose a knowledge discovery process for the stylistic characterization with an emphasis on the syntactic dimension of style by extracting relevant patterns from a given text. This knowledge discovery process consists of two main steps, a sequential pattern mining step followed by the application of some interestingness measures. In particular, the extraction of all possible syntactic patterns of a given length is proposed as a particularly useful way to extract interesting features in an exploratory scenario. We propose, carry out an experimental evaluation and report results on three proposed interestingness measures, each of which is based on a different theoretical linguistic and statistical backgrounds