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Supplementing Localization Algorithms for Indoor FootstepsWoolard, Americo Giuliano 10 August 2017 (has links)
The data rich nature of instrumented civil structures has brought attention to alternative applications outside of the traditional realm of structural health monitoring. An interest has been raised in using these vibration measurements for other applications such as human occupancy. An example of this is to use the vibrations measured from footsteps to locate occupants within a building. The localization of indoor footsteps can yield several benefits in areas such as security and threat detection, emergency response and evacuation, and building resource management, to name a few. The work described herein seeks to provide supplementary information to better define the problem of indoor footstep localization, and to investigate the use of several localization techniques in a real-world, operational building environment. The complexities of locating footsteps via indoor vibration measurements are discussed from a mechanics perspective using prior literature, and several techniques developed for localization in plate structures are considered for their applicability to indoor localization. A dispersion compensation tool is experimentally investigated for localization in an instrumented building. A machine learning approach is also explored using a nearest neighbor search. Additionally, a novel instrumentation method is designed based on a multi-point coupling approach that provides directional inference from a single point of measurement. This work contributes to solving the indoor footstep localization problem by consolidating the relevant mechanical knowledge and experimentally investigating several potential solutions. / Ph. D. / Equipping buildings with sensors that can measure vibrations is a common way to keep track of the health of a building. This has brought attention to other ways of using the same technology. For example, the vibrations from footsteps may be used to track occupants inside of a building. Tracking occupants has many applications in areas such as security and threat detection, emergency response and evacuation, and building resource management, to name a few. The work described herein seeks to better understand the problem from a mechanical perspective, and to implement techniques designed more appropriately for localization in this type of environment. This work contributes to solving the indoor footstep localization problem by consolidating the relevant information and using experiments to investigate several potential solutions.
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Literární cestovní ruch na území Česka / Literary tourism in CzechiaUlrychová, Tereza January 2019 (has links)
The aim of the thesis was to clarify the role of literary tourism in Czechia and to evaluate its potential and possible uses. After that, a comparison based on foreign literature and sources was made between Czechia and other countries. The places selected in this thesis have a link to the life or work of a prominent Czech writer and seek to develop literary tourism, promote literature, attract visitors, etc. These are places where the writer's birthplace is open to the public and where museums with an exhibition focusing on that writer and the writer's works have been created and where literary festivals or other thematic events are organized etc. These places were approached with the offer of being involved in the making of a game called "Build your world" and a newly created smaller competition "In the footsteps of our writers". Collector magnets have been created for those who have agreed to be involved in these games. These magnets serve as a means to support the development of literary tourism in the Czech Republic and involve local actors in a nationwide event, which will raise awareness both of important writers and of the places associated with them. Very often the places involved are less visited ones. Key words: tourism, literary tourism, potential, Build your world, In the footsteps of...
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Développement et caractérisation d'un système de sol piézoélectrique intelligent : application à la détection des chutes. / Development and characterization of a smart flooring system : application to fall detectionSerra, Renan 30 June 2017 (has links)
Cette thèse s’inscrit dans le domaine de la conception et de la réalisation de systèmes intelligents, associés à une technologie de capteurs sol. Elle vise à concevoir un outil automatisé et intelligent destiné à détecter principalement les chutes de personnes âgées en milieu hospitalier, afin de fournir une information supplémentaire au personnel soignant. Premièrement, les différentes technologies de capteurs appliquées aux revêtements de sol ont été étudiées. Parmi les technologies recensées, les capteurs piézoélectriques planaires en polymères ont été retenus pour l’élaboration du système intelligent. Ensuite, la caractérisation de la solution technique retenue a permis de définir les conditions et limites d’utilisation du capteur. Les aspects de robustesse et de durabilités ont été évalués à l’aide de méthodes développées à ces effets. Enfin, des algorithmes de détection ont été développés en vue de détecter les chutes, les pas et la présence de personnes sur des surfaces délimitées par le système. Des stratégies de classification basées sur la corrélation de Pearson, des algorithmes d’apprentissages ou des algorithmes à seuils ont été utilisés. / This thesis is part of the field of design and elaboration of smart systems combined with a flooring sensor technology. The main objective deal with the design of an automated and smart tool to detect falls of elderly people in hospitals or nursing homes, in order to provide additional information to healthcare workers. First, various sensor technologies applied to floor covering have been studied. Among the technologies identified, piezoelectric planar polymer sensors have been chosen for the development of the smart system. Then, the characterization of the validated technical solution allows to define conditions and limits of use of the sensor. The robustness and durability were evaluated using methods that were specifically developed to address these aspects. Finally, detection algorithms have been developed to detect falls, footsteps and presence of people on our sensors. Classification strategies based on Pearson’s correlation, machine learning algorithms or threshold based algorithm have been used.
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Projektová výuka na 1. stupni ZŠ v kontextu regionálního muzea Jana Amose Komenského v Komni / Projects at Primary School in the Context of the Jan Amos Comenius' Regional Museum in KomňaŠašinková, Miroslava January 2014 (has links)
The thesis Project teaching at 1st grade of primary school in the context of regional museum John Amos Comenius, deals with linking subject matter of John Amos Comenius and project teaching, and utilizes the facilities of John Amos Comenius Memorial in Komňa. In the theoretical part are analysed information about the project method, its implementation in the teaching process, the importance and difficulties. The key part is the practical one, which is devoted to the design and realization of the project The footsteps of John Amos Comenius, which was made by pupils of John Amos Comenius Primary School in Komňa. Final projects were exhibited at the Municipal Office in Komňa. The enclosure contains the worksheets, which are intended for further use in the classroom.
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