Have a personal or library account? Click to login

Information About Dynamics of the Sea Surface as a Means to Improve Safety of the Unmanned Vessel at Sea

Open Access
|Jan 2017

References

  1. 1. Diks, C., et al. Reversibility as a criterion for discriminating time series. Phys. Lett. A. 1995, p. 201:221, DOI: 10.1016/0375-9601(95)00239-Y.10.1016/0375-9601(95)00239-Y
  2. 2. Kantz, H. and Schreiber, T. Nonlinear time series analysis. Oxford : Cambridge University Press, 1997.
  3. 3. Percival, D. B. and Walden, A. T. Spectral analysis for physical applications. Cambridge : Cambridge University Press, 1993.10.1017/CBO9780511622762
  4. 4. Thailer, J., et al. Nonlinear modeling and forecasting. Using surrogate data to detect nonlinearity in time series. Reading : Santa Fe Institute Studies in the Science of Complexity,. Vol. Proc. Vol. XII, 1992
  5. 5. Schreiber, T. Constrained randomization of time series data. Phys. Rev Lett., Vol. 80, 1998, DOI: 10.1103/ PhysRevLett.80.210510.1103/PhysRevLett.80.2105
  6. 6. Theiler, J. and Prichard, D. Generating surrogate data for time series with several simultaneously measured variables.
  7. 7. Burdziakowski, P. et al. Maritime laser scanning as the source for spatial data. Polish Maritime Research, Vol. 22, Iss. 4, pp. 9-14, 2015, DOI: 10.1515/pomr-2015-006410.1515/pomr-2015-0064
  8. 8. Hejmanowska, B. et al. Modern remote sensing and the challenges facing education systems in terms of its teaching. 7th International Conference on Education and New Learning Technologies, Barcelona, Spain JUL 06-08, 2015, pp. 6549-6558, 2015
  9. 9. Janowski, A. et al. Airborne and mobile laser scanning in measurements of sea cliffs on the southern Baltic. 15th International Multidisciplinary Scientific Geoconference (SGEM) Location: Albena, Bulgaria, JUN 18-24, 2015, SGEM 2015, pp. 17-24, 2015, DOI: 10.5593/SGEM2015/ B12/S2.003
  10. 10. Janowski, A. et al. Proprietary software in technical higher education. EDULEARN14: 6th International Conference On Education and New Learning Technologies, ISBN 978-84-617-0557-3, ISSN 2340-1117, pp. 1941-1949, 2014
  11. 11. Jedrasik J. and Szymelfenig M.: Ecohydrodynamic model of the Baltic Sea. Part 2. Validation of the model, Oceanologia, Vol. 47, Iss. 4, pp. 543-566, 2005
  12. 12. Kazimierski, W. and Stateczny, A. Radar and Automatic Identification System Track Fusion in an Electronic Chart Display and Information System. Journal of Navigation, Vol. 68, Iss. 6, pp. 1141-1154, 2015, DOI: 10.1017/ S0373463315000405P10.1017/S0373463315000405
  13. 13. Kazimierski, W. et al. Verification of multiple model neural tracking filter with ship’s radar. 13th International Radar Symposium (IRS) Location: Warsaw, Poland, MAY 23-25, 2012, Book Series: International Radar Symposium Proceedings, pp. 549-553, 2012, DOI: 10.1109/ IRS.2012.623338410.1109/IRS.2012.6233383
  14. 14. Kedzierski, M. et al. Detection of gross errors in the elements of exterior orientation of low-cost UAV images. Baltic Geodetic Congress (Geomatics), Gdansk, Poland, JUN 2-4, 2016, pp. 95-100, 2016, DOI: 10.1109/BGC. Geomatics.2016.26
  15. 15. Kozaczka, E. et al. Detection of Objects Buried in the Sea Bottom with the Use of Parametric Echosounder. Archives of Acoustics, Vol. 38, Iss. 1, pp. 99-104, 201310.2478/aoa-2013-0012
  16. 16. Kulawiak M., Chybicki A., Moszynski M.: Web-based GIS as a tool for supporting marine research. Marine Geodesy, Vol. 33, Iss. 2-3, pp. 135-153, Art. No. PII 923578807, 2010, DOI: 10.1080/01490419.2010.49228010.1080/01490419.2010.492280
  17. 17. Liao Yu-lei, Su Yu-min, Cao Jian. Trajectory planning and tracking control for under actuated unmanned surface vessels. Journal of Central South University, Vol. 21, Iss. 2, pp. 540-549, 2014, DOI: 10.1007/s11771-014-1972-x10.1007/s11771-014-1972-x
  18. 18. Michoud, C. et al. Landslide detection and monitoring capability of boatbased mobile laser scanning along Dieppe coastal cliffs, Normandy. Landslides, Vol. 12, Iss. 2, pp. 403-418, 2014, DOI: 10.1007/s10346-014-0542-510.1007/s10346-014-0542-5
  19. 19. Przyborski, M. Possible determinism and the real world data. Physica A-Statistical Mechanics and Its Applications, Vol. 309 Iss. 3-4, pp. 297-303, PII S0378-4371(02)00565-4, 200210.1016/S0378-4371(02)00565-4
  20. 20. Roberts, G. N. Trends in marine control systems. Annual Reviews in Control, Vol. 32, Iss. 2, pp. : 263-269, 2008, DOI: 10.1016/j.arcontrol.2008.08.00210.1016/j.arcontrol.2008.08.002
  21. 21. Stateczny, A. and Bodus-Olkowska, I. Hierarchical Hydrographic Data Fusion for Precise Port Electronic Navigational Chart Production. 14th Transport Systems Telematics Conference (TST) Location: Poland Date: OCT 22-25, 2014, Book Series: Communications in Computer and Information Science, Vol. 471, pp. 359-368, 2014, DOI: 10.1007/978-3-662-45317-9_3810.1007/978-3-662-45317-9_38
  22. 22. Stateczny, A. and Bodus-Olkowska, I. Sensor data fusion techniques for environment modelling. 16th International Radar Symposium (IRS) Location: Dresden, Germany, JUN 24-26, 2015, Book Series: International Radar Symposium Proceedings, pp. 1123-1128, 2015, DOI: 10.1109/IRS.2015.722626310.1109/IRS.2015.7226263
DOI: https://doi.org/10.1515/pomr-2016-0065 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 3 - 7
Published on: Jan 20, 2017
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Marek Przyborski, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.