Abstract
For the āZā generation, life would be inconceivable without smart devices, furthermore they would like to reach every useful information instantly. In the digital society it is getting more and more important to give the most important information for the users through their smart devices. During our research we made groups of users with the help of smart beacons, and beyond indoor positioning we gave them extra information, like electronic notes, closed book exam etc. One of the main goals in our development was to use our smart devices instead of paper to reduce the expenses of the university. For the indoor positioning, with the help of a pointcloud, we produced a 3D map beside the vectorgraphical, which is going to be the basic of further developments, as well as we created a surface on the physical web, where administrative operations can be made by the students and teachers.
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References
Horvath, Z., Horvath, H.: More sensors or better algorithm? Int. J. Comput. Comm. Control (IJCCC) (3). Springer, Heidelberg (2014)
Horvath, Z., Horvath, H.: The measurement preciseness of the GPS built in smartphones and tablets. Int. J. Electron. Comm. Technol. 1(5), 17ā19 (2014)
Horvath, Z., Ildiko, J., Wu, T., Xuan, C.: Sensitivity of Sensors Built in Smartphones. ISBN:978-3-662-47926-1 (2015)
Ding, N., Wagner, D., Chen, X., Pathak, A., Hu, Y.C., Rice, A.: Characterizing and modeling the impact of wireless signal strength on smartphone battery drain. In: Proceedings of the ACM SIGMETRICS/International Conference on Measurement and Modeling of Computer Systems, pp 29ā40 (2013)
Galvan-Tejada, C.E., Garcia-Vazquez, J.P., GarcĆa-Ceja, E., CarrascoJimĆ©nez, J.C., Brenaa, R.F.: Evaluation of four classifiers as cost function for indoor location systems. Procedia Comput. Sci. 32, 453ā460 (2014)
Yang, S.C., Kalnay, E., Hunt, B.: Handling nonlinearity in an ensemble Kalman Filter: experiments with the three-variable lorenz model. Mon. Weather Rev. 140(8), 2628ā2646 (2012)
Valavanis, K.P., Vachtsevanos, G.J.: Handbook of Unmanned Aerial Vehicles. https://doi.org/10.1007/978-90-481-9707-1_144. Springer, Heidelberg (2015)
Gerrit, B., Van Leeuwen, P.J., Evensen, G.: Analysis scheme in the ensemble Kalman filter. Mon. Wea. Rev. 126, 1719ā1724 (1998)
Stella, M., Russo, M., BeguÅ”iÄ, D.: Fingerprinting based localization in heterogeneous wireless networks. Expert Syst. Appl. (2014)
RĆ©bay, V.: Possibility of using smartphones in distributed computing networks. In: Proceedings of the International Conference on Advances in Computer & Electronics TechnologyāACET2014, pp. 114ā118. (ISBN:978-1-63248-024-8), Hong-Kong (2014)
Sa, I., Hrabar, S., Corke, P.: Outdoor flight testing of a pole inspection UAV incorporating high-speed vision. In: Field and Service Robotics (105) of the series Springer Tracts in Advanced Robotics pp. 107ā121. https://doi.org/10.1007/978-3-319-07488-7_8 (2015)
Dandois, J.P., Olano, M., Ellis, E.C.: Optimal altitude: overlap, and weather conditions for computer vision UAV estimates of forest structure. Remote Sens. 7(10), 13895ā13920. https://doi.org/10.3390/rs71013895 (2015)
Liang, Y., Jia, Y.: A nonlinear quaternion-based fault tolerant SINS/GNSS integrated navigation method for autonomous UAVs. Aerosp. Sci. Technol. 5(40), 191ā199 (2015, Jan)
Bulten, W.: Kalman filters explained: removing noise from RSSI signals. In: IEEE International Conference on the Internet-of-Things Design and Implementation. https://www.wouterbulten.nl/blog/tech/kalman-filters-explained-removing-noise-from-rssi-signals/. Last accessed 21 June 2017
Castro, P., Chiu, P., Kremenek, T., Muntz, R.: A probabilistic room location service for wireless networked environments. In: Ubicomp, Ubiquitous Computing, pp. 18ā34. Springer (2001)
Galvan-Tejada, C.E., Garcia-Vazquez, J.P., Brena, R.: Magnetic-field feature reduction for indoor location estimation applying multivariate models. In: Artificial Intelligence (MICAI), 12th Mexican International Conference on IT, pp. 128ā132, IEEE (2013)
Albawendi, S., Appiah, K., Powell, H., Lotf, A.: Overview of behavioural understanding system with filtered vision sensor. In: 2015 International Conference on Interactive Technologies and Games. https://doi.org/10.1109/itag.2015.21 (2015)
Rautaray, S.S., Agrawal, A.: Vision based hand gesture recognition for human computer interaction: a survey. Artif. Intell. Rev. 43(1), 1ā54. Springer, Heidelberg (2015)
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Horvath, Z., Jaisut, D. (2019). Smart Classrooms. In: Al-Masri, A., Curran, K. (eds) Smart Technologies and Innovation for a Sustainable Future. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-01659-3_40
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