11,563 research outputs found

    Charlie May Simon materials

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    This collection contains materials relating to Arkansas author Charlie May Simon

    An approach to situation recognition based on learned semantic models

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    A key enabler of pervasive computing is the ability to drive service delivery through the analysis of situations: Semantically meaningful classifications of system state, identified through analysing the readings from sensors attached to the everyday objects that people interact with. Situation recognition is a mature area of research, with techniques primarily falling into two categories. Knowledge-based techniques use inference rules crafted by experts; however often they compensate poorly for sensing peculiarities. Learning-based approaches excel at extracting patterns from noisy training data, however their lack of transparency can make it difficult to diagnose errors. In this thesis we propose a novel hybrid approach to situation recognition that combines both techniques. This offers improvements over each used individually, through not sacrificing the intelligibility of the decision processes that the use of machine learning alone often implies, and through providing better recognition accuracy through robustness to noise typically unattainable when developers use knowledge-based techniques in isolation. We present an ontology model and reasoning framework that supports the uniform modelling of pervasive environments, and infers additional knowledge from that which is specified, in a principled way. We use this as a basis from which to learn situation recognition models that exhibit comparable performance with more complex machine learning techniques, while retaining intelligibility. Finally, we extend the approach to construct ensemble classifiers with either improved recognition accuracy, intelligibility or both. To validate our approach, we apply the techniques to real-world data sets collected in smart-office and smart-home environments. We analyse the situation recognition performance and intelligibility of the decision processes, and compare the results to standard machine learning techniques and results published in the literature

    Simon Nyakot

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    abstract: Simon Nyakot left his village when he was six years old. “Lost Boys Found” is an ongoing, interdisciplinary project that is collecting, recording and archiving the oral histories of the Lost Boys/Girls of Sudan. The collection is a work-in-progress, seeking to record the oral history of as many Lost Boys/Girls as are willing, and will be used in a future book.Age: 27Region: LakeThis picture and bio was donated to the Lost Boys Found project from The Arizona Lost Boys Cente

    Smart Environments: some challenges for the computing community

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    Building computing systems that exhibit intelligence, adaptability and seamless interaction is a challenging task in and of itself. It is a task that synthesises the expertise and concerns of a range of computing disciplines. The goal of such research, in or opinion, should be to move these intelligent, adaptable, heavily interacting systems into everyday life in such a way that they become as commonplace as other artifacts in our environment — until in effect they become essentially invisible to their users. Embedding such systems into the very environments we inhabit, rather than crafting them as tailored environments in their own right, posses a significant research challenge that can only be addressed in an interdisciplinary manner

    Cahiers Saint-Simon

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    https://www.persee.fr/renderCollectionCover/simon.pngThe Société Saint-Simon was founded in 1972 in order to promote studies about the Duke of Saint-Simon (1675-1755), namely about the work, life, and thinking of the Mémoires’s author. Each year it issues a Cahier Saint-Simon. It contains the Acts of the annual Journée d’étude in Versailles, but also Notes and Documents, News of the Society and Book reviews.Fondée en 1972, la Société Saint-Simon a pour but de développer les études concernant l'oeuvre, la personne et la pensée du duc de Saint-Simon (1675-1755), l’auteur des Mémoires. Chaque année, paraît un numéro de Cahiers Saint-Simon contenant les actes de la journée annuelle de Versailles, ainsi que des Mélanges, des Notes et Documents et une Chronique bibliographique détaillée

    Cahiers Saint-Simon

    No full text
    https://www.persee.fr/renderCollectionCover/simon.pngThe Société Saint-Simon was founded in 1972 in order to promote studies about the Duke of Saint-Simon (1675-1755), namely about the work, life, and thinking of the Mémoires’s author. Each year it issues a Cahier Saint-Simon. It contains the Acts of the annual Journée d’étude in Versailles, but also Notes and Documents, News of the Society and Book reviews.Fondée en 1972, la Société Saint-Simon a pour but de développer les études concernant l'oeuvre, la personne et la pensée du duc de Saint-Simon (1675-1755), l’auteur des Mémoires. Chaque année, paraît un numéro de Cahiers Saint-Simon contenant les actes de la journée annuelle de Versailles, ainsi que des Mélanges, des Notes et Documents et une Chronique bibliographique détaillée

    An Integrated System for Managing Intelligent Buildings

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    As small wearable computing devices become more prolific it seems astute to fully capitalise on their potential to assume responsibility for a range of trivial tasks. The mobile phone which many people now own will undoubtedly evolve from the simple two-way communication purpose it fulfils today, into an integrated communications and organisation companion. We are interested in the integration of such smart devices into an intelligent building framework. Sensors and door activators are useful in their own right but to fully integrate them into a building management system requires the input from many diverse disciplines in engineering and computer science. This paper seeks to explore the technical issues of dealing with a system that manages the information flow through such a building. Specifically it examines the services that make up the core of the building's system

    Self-stabilising target counting in wireless sensor networks using Euler integration

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    Target counting is an established challenge for sensor networks: given a set of sensors that can count (but not identify) targets, how many targets are there? The problem is complicated because of the need to disambiguate duplicate observations of the same target by different sensors. A number of approaches have been proposed in the literature, and in this paper we take an existing technique based on Euler integration and develop a fully-distributed, self-stabilising solution. We derive our algorithm within the field calculus from the centralised presentation of the underlying integration technique, and analyse the precision of the counting through simulation of several network configurations
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