Information about dynamics of the sea surface as a means to improve safety of the unmanned vessel at sea

• Autorzy: Przyborski M.

Identyfikatory

DOI

10.1515/pomr-2016-0065

• Języki publikacji: EN

Abstrakty

EN

One of the fundamental states of the sea surface is its heave. Despite of years of the intense scientific inquiry, no clear understanding of the influence of this aspect on the dynamics of the sea environment has emerged. The separation of two nearby fluid elements which one may observed for example as a free floating of small objects on the sea surface (rescuers on the rough sea or small research vessels) is caused by the interaction of different components. On the other hand one may say that the heave of the sea is also a summary interaction of a few components describing the dynamics of the sea. Therefore it is the most important aspect, which influenced the dispersion phenomenon. This observation has important consequences for many different problems as for example conducting Search and Rescue missions and using unmanned ships. We would like to present results of our experiment focused on finding the answer to question about nature of the heave of the sea and its influence on safety of Unmanned Surface Vessels (USV).

Słowa kluczowe

EN

hypothesis testing; nonlinearity; sea dynamics; USV

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2016
• Tom: nr 4
• Strony: 3--7
• Opis fizyczny: Bibliogr. 22 poz., rys.

Twórcy

autor

Przyborski M.

• Gdańsk University of Technology Department of Geodesy Faculty of Civil and Environmental Engineering 11/12 Narutowicza St. 80 - 233 Gdańsk Poland

Bibliografia

• 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.
• 2. Kantz, H. and Schreiber, T. Nonlinear time series analysis. Oxford : Cambridge University Press, 1997.
• 3. Percival, D. B. and Walden, A. T. Spectral analysis for physical applications. Cambridge : Cambridge University Press, 1993.
• 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. Schreiber, T. Constrained randomization of time series data. Phys. Rev Lett., Vol. 80, 1998, DOI: 10.1103/ PhysRevLett.80.2105
• 6. Theiler, J. and Prichard, D. Generating surrogate data for time series with several simultaneously measured variables. Phys. Rev. Lett., Vol. 73, 1994
• 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-2015-0064
• 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. 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. 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. 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. 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/ S0373463315000405P
• 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.2012.6233384
• 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. 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, 2013
• 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: 10.1080/01490419.2010.492280
• 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-x
• 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/s10346-014-0542-5
• 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, 2002
• 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.2008.08.002
• 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_38
• 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.2015.7226263

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.