Abstract
In this paper a new free flight instrument is presented. The instrument named FlyMaster distinguishes from others not only at hardware level, since it is the first one based on a PDA and with an RF interface for wireless sensors, but also at software level once its structure was developed following some guidelines from Ambient Intelligence and ubiquitous and context aware mobile computing. In this sense the software has several features which avoid pilot intervention during flight. Basically, the FlyMaster adequate the displayed information to each flight situation. Furthermore, the FlyMaster has its one way of show information.
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References
Harris, D.: Flight Instruments and Automatic Flight Control Systems. Blackwell Science
Chen, G., Kotz, D.: A Survey of Context-Aware Mobile Computing Research, Dartmouth College (2000)
Satyanarayanan, M.: Fundamental challenges in mobile computing. In: PODC 1996. Proceedings of the fifteenth annual ACM symposium on Principles of distributed computing (1996)
Weiser, M.: The Computer for the 21st Century. Scientific American 265, 94–104 (1991)
Ramos, C.: Ambient Intelligence → Artificial Intelligence. IADIS InternetWeb 2007 Plenary Session (2007)
Reinhart, R.O.: Basic Flight Physiology. McGrawHill, New York (1996)
Flytec GmbH, 4005 XL GPS - Manual (1999)
Brauniger GmbH, IQ Competition GPS - Manual (1999)
Aupetit, H.: Parapente - Tecnica Avanzada, Editorial Perfils (2001)
Brauniger GmbH, Compeo - Manual (2004)
National Marine Electronics Association. NMEA 0183
Fédération Aéronautique Internationale, Technical Specification for IGC-Approved GNSS Flight Recorders (2006)
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© 2007 Springer-Verlag Berlin Heidelberg
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Gomes, N., Ramos, C., Pereira, C., Nunes, F. (2007). Ubiquitous Ambient Intelligence in a Flight Decision Assistance System. In: Neves, J., Santos, M.F., Machado, J.M. (eds) Progress in Artificial Intelligence. EPIA 2007. Lecture Notes in Computer Science(), vol 4874. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77002-2_25
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DOI: https://doi.org/10.1007/978-3-540-77002-2_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77000-8
Online ISBN: 978-3-540-77002-2
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