Abstract
The ability to locate a mobile device by a wireless network is well known possibilities. Except traditional WiFi the BT or GSM network can be used. Utility of position info is in many of current areas. New kind of mobile devices are equipped with high capacity of hardware like RAM, ROM, SD Cards etc. However the memory bus and CPU are not able to process large amount of data which leads to slow response in case of mobile software application with large files. To allow an adequate work with such kind of applications with same comfort as on desktop devices the prebuffering techniques can be used to solve it. Main area of interest is in a use of locating and tracking users of a mobile information system to prebuffer possible large amount data to before usage. All large data files are stored as artifacts along with its position information in building or larger area environment. The accessing of prebuffered data on mobile device can highly improve response time needed to view large multimedia data. This fact can help with design of new full scale applications for mobile devices.
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References
Abowd, G., Dey, A., Brown, P., et al.: Towards a better understanding of context and context-awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, p. 304. Springer, Heidelberg (1999)
Krejcar, O.: User Localization for Intelligent Crisis Management. In: AIAI 2006, 3rd IFIP Conference on Artificial Intelligence Applications and Innovation, pp. 221–227 (2006)
Krejcar, O., Cernohorsky, J.: Database Prebuffering as a Way to Create a Mobile Control and Information System with Better Response Time. In: Bubak, M., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2008, Part I. LNCS, vol. 5101, pp. 489–498. Springer, Heidelberg (2008)
Krejcar, O.: PDPT Framework - Building Information System with Wireless Connected Mobile Devices. In: ICINCO 2006, 3rd International Conference on Informatics in Control, Automation and Robotics, Setubal, Portugal, August 01-05, pp. 162–167 (2006)
Krejcar, O., Cernohorsky, J.: New Possibilities of Intelligent Crisis Management by Large Multimedia Artifacts Prebuffering. In: Ulieru, M., Palensky, P., Doursat, R. (eds.) I.T. Revolutions 2008, Venice, Italy, December 17- 19. LNICST, vol. 11, pp. 44–59. Springer, Heidelberg (2008)
Nielsen, J.: Usability Engineering. Morgan Kaufmann, San Francisco (1994)
Haklay, M., Zafiri, A.: Usability engineering for GIS: learning from a screenshot. The Cartographic Journal 45(2), 87–97 (2008)
Evennou, F., Marx, F.: Advanced integration of WiFi and inertial navigation systems for indoor mobile positioning. Eurasip journal on applied signal processing (2006)
Arikan, E., Jenq, J.: Microsoft SQL Server interface for mobile devices. In: Proceedings of the 4th International Conference on Cybernetics and Information Technologies, Systems and Applications/5th Int Conf on Computing, Communications and Control Technologies, Orlando, FL, USA, July 12-15 (2007)
Jewett, M., Lasker, S., Swigart, S.: SQL server everywhere: Just another database? Developer focused from start to finish. DR DOBBS Journal 31(12) (2006)
Krejcar, O.: Utilization Possibilities of Area Definition in User Space for User-Centric Pervasive-Adaptive Systems. In: Hesselman, C., Giannelli, C. (eds.) Mobilware 2009 Workshops. LNICST, vol. 12, pp. 124–130. Springer, Heidelberg (2009)
Krejcar, O., Janckulik, D., Motalova, L., Kufel, J.: Mobile Monitoring Stations and Web Visualization of Biotelemetric System - Guardian II. In: EuropeComm 2009. LNICST, vol. 16, Springer, Heidelberg (to appear)
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Krejcar, O. (2009). Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_61
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DOI: https://doi.org/10.1007/978-3-642-04441-0_61
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