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ETDs @PUC-Rio
Estatística
Título: ENVIRONMENT CHANGES DETECTION: A PROACTIVE SYSTEM TO MONITOR MOVING OBJECTS
Autor: FABIO DA COSTA ALBUQUERQUE
Colaborador(es): MARCO ANTONIO CASANOVA - Orientador
Catalogação: 13/FEV/2017 Língua(s): ENGLISH - UNITED STATES
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=29127&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=29127&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.29127
Resumo:
Positioning systems, combined with inexpensive communication technologies, open interesting possibilities to implement real-time applications that monitor moving objects and that support decision making. This dissertation first discusses basic requirements for proactive real-time monitoring applications. Then, it proposes an architecture to deploy applications that monitor moving objects, are pro-active, explore trajectory semantics and are sensitive to environment dynamics. Lastly, this dissertation provides an example of how an application that monitors a fleet of trucks can become proactive, using unstructured text information available on Internet focused on road conditions change. The dissertation describes how to structure and geo-reference the text, using available geocoding services.
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