ACCURACY IMPROVEMENT OF THE PRESTRESSED CONCRETE STRUCTURES PRECISE GEOMETRY ASSESSMENT BY USE OF BUBBLE MICRO-SAMPLING ALGORITHM

Bencardino F., Condello A.: Experimental study and numerical investigation of behavior of RC beams strengthened with steel reinforced grout. Computers and Concrete, Vol. 14, Iss. 6, pp. 711-725, 2014, DOI: 10.12989/cac.2014.14.6.711

Bobkowska K., Janowski A., Przyborski M.: Image correlation as a toll for tracking facial changes causing by external stimuli. Book Series: International Multidisciplinary Scientific GeoConference SGEM, ISSN 1314-2704, Book 2, Vol. 1, 2015, pp. 1089-1096, 2015, DOI: 10.5593/SGEM2015/B21/S10.139;

Glover J., Bradski G., Rusu R.B.: Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution. Robotics: Science and Systems. The MIT Press, Cambridge-Massachusetts, 2012

Gordon S., Lichti D.: Modeling terrestrial laser scanner data for precise structural deformation measurement. Journal of Surveying Engineering, Vol. 133, Iss. 2, pp. 72-80, 2007, DOI: 10.1061/(ASCE)0733- 9453(2007)133:2(72)

Hejmanowska B., Kaminski W., Przyborski M., Pyka K., Pyrchla J.: Modern remote sensing and the challenges facing education systems in terms of its teaching. EDULEARN15 Proceedings, ISBN 978-84-606-8243 -1, ISSN 2340-1117, 7th International Conference on Education and New Learning Technologies, Barcelona, Spain, pp. 6549-6558, 2015

Janowski A., Nagrodzka-Godycka, K., S zulwic, J., Ziółkowski, P.: Remote sensing and photogrammetry techniques in diagnostics of concrete structures. Computers & Concrete, 2016

Kowalska E., Rutkiewicz E., Szumiło M.: The digital image correlation system in experimental tests of bended beam. 2016 Baltic Geodetic Congress (Geomatics), 2- 3.06.2016, Gdansk, Poland, 2016

Kulis, B., Ashari, A.: Monte Carlo Sampling Methods, CSE 788.04: Topics in Machine Learning, Ochio, 2012.

Metropolis N., Ulam S.: The Monte Carlo method. Journal of the American Statistical Association, Vol. 44, Iss. 247, pp. 335-341, 1949, DOI: 10.2307/2280232

Nagrodzka-Godycka, K., Szulwic, J., Ziółkowski, P., The method of analysis of damage reinforced concrete beams using terrestrial laser scanning, 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing, Vol. 3, pp. 335- 342, Bulgaria, 2014, DOI: 10.5593/SGEM2014/B23/S10.042

Rucka M., Wilde K.: Experimental Study on Ultrasonic Monitoring of Splitting Failure in Reinforced Concrete. Journal of Nondestructive Evaluation, Vol. 32, Iss. 4, pp. 372-383, 2013,DOI: 10.1007/s10921-013-0191-y. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

Bencardino F., Condello A.: Experimental study and numerical investigation of behavior of RC beams strengthened with steel reinforced grout. Computers and Concrete, Vol. 14, Iss. 6, pp. 711-725, 2014, DOI: 10.12989/cac.2014.14.6.711

Bobkowska K., Janowski A., Przyborski M.: Image correlation as a toll for tracking facial changes causing by external stimuli. Book Series: International Multidisciplinary Scientific GeoConference SGEM, ISSN 1314-2704, Book 2, Vol. 1, 2015, pp. 1089-1096, 2015, DOI: 10.5593/SGEM2015/B21/S10.139;

Glover J., Bradski G., Rusu R.B.: Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution. Robotics: Science and Systems. The MIT Press, Cambridge-Massachusetts, 2012

Gordon S., Lichti D.: Modeling terrestrial laser scanner data for precise structural deformation measurement. Journal of Surveying Engineering, Vol. 133, Iss. 2, pp. 72-80, 2007, DOI: 10.1061/(ASCE)0733- 9453(2007)133:2(72)

Hejmanowska B., Kaminski W., Przyborski M., Pyka K., Pyrchla J.: Modern remote sensing and the challenges facing education systems in terms of its teaching. EDULEARN15 Proceedings, ISBN 978-84-606-8243 -1, ISSN 2340-1117, 7th International Conference on Education and New Learning Technologies, Barcelona, Spain, pp. 6549-6558, 2015

Janowski A., Nagrodzka-Godycka, K., S zulwic, J., Ziółkowski, P.: Remote sensing and photogrammetry techniques in diagnostics of concrete structures. Computers & Concrete, 2016

Kowalska E., Rutkiewicz E., Szumiło M.: The digital image correlation system in experimental tests of bended beam. 2016 Baltic Geodetic Congress (Geomatics), 2- 3.06.2016, Gdansk, Poland, 2016

Kulis, B., Ashari, A.: Monte Carlo Sampling Methods, CSE 788.04: Topics in Machine Learning, Ochio, 2012.

Metropolis N., Ulam S.: The Monte Carlo method. Journal of the American Statistical Association, Vol. 44, Iss. 247, pp. 335-341, 1949, DOI: 10.2307/2280232

Nagrodzka-Godycka, K., Szulwic, J., Ziółkowski, P., The method of analysis of damage reinforced concrete beams using terrestrial laser scanning, 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing, Vol. 3, pp. 335- 342, Bulgaria, 2014, DOI: 10.5593/SGEM2014/B23/S10.042

Rucka M., Wilde K.: Experimental Study on Ultrasonic Monitoring of Splitting Failure in Reinforced Concrete. Journal of Nondestructive Evaluation, Vol. 32, Iss. 4, pp. 372-383, 2013,DOI: 10.1007/s10921-013-0191-y. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org