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References Baranowska A Gloza I.: Identification of underwater disturbance sources by using coherence functions (in Polish). Materials of 48 th Open Seminar on Acoustics, pp. 245÷250, Wrocław 2001. Gloza I., Malinowski S.: Identification of ships underwater noise sources in the coastal region. Hydroacoustics, Vol. 5/6, 9-16, 2003. Gloza I., Domagalski J., Malinowski S.: Identification of ships hydro-acoustic field sources in the near surrounding (in Polish) , Materials of 49 th Open Seminar on Acoustics, pp. 407-412, Warszawa - Stare Jabłonki 2002

References 1. Beneš. F.. Kubač. L.. Staša. P., Kebo. V. (2013) RPID and Augmented Reality. In: Proceedings of the 14 th International Carpathian Control Conference (ICCC), Rytro. Hotel Perla Południa.Poland. May 26-29. Vienna: IEEE. pp. 186-191. 2. Bolarin. F.C.. Frutos. A.G.. Lisec. A. (2011) Assessing the impact of prices fluctuation on demand distortion within a multi-echelon supply chain. Promet-Traffic-Traffico. 23(2). pp. 131-140. 3. Hunt. V.. Puglia. A.. Puglia. M. (2007) RFID: A Guide to Radio Frequency Identification. New Jersey (USA): John Wiley & Sons

References Abonyi, J. and Babuška, R. (2000). Local and global identification and interpretation of parameters in Takagi-Sugeno fuzzy models, 9th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE, San Antonio, CA, USA , pp. 835-840. Babuška, R. (1998). Fuzzy Modeling for Control , Kluwer Academic Publishers, London. Billings, S.A. and Zhu, Q.M. (1994). Nonlinear model validation using correlation test, International Journal of Control 60 (6): 1107-1120. Boukhris, A., Mourot, G. and Ragot, J. (1999). Non-linear dynamic system identification: A multiple

References Cempel Cz.: Applied vibro-acoustics (in Polish). State Scientific Publishing House (PWN), Warszawa 1989 Baranowska A Gloza I.: Identification of underwater disturbance sources with the use of coherence function (in Polish). Materiałs of 48th Open Seminar on Acoustics, Wrocław 2001. Gloza I., Malinowski S.: Identification of ship's underwater noise sources in the coastal region , Hydroacoustics , Vol. 5/6 , 2003. Gloza I., Domagalski J., Malinowski S.: Identification of sources of ship's hydro-acoustic field in a close surrounding (in Polish

Telekomunikacyjne, Vol. 8-9, 2017. 7. Phantom 3 Professional Homepage, http://www.dji.com/phantom-3-pro/info#specs (access: 10.2018). 8. Sobczak M.: Implementacja i testowanie systemu identyfikacji osób wykorzystującego dane z monitoringu IP [ Implementation and testing of a person identification system, using IP monitoring data, MSc. thesis], WAT, Warszawa 2013. 9. Tadeusiewicz R., Korohoda P.: Komputerowa analiza i przetwarzanie obrazów [ Computer analysis and processing of images ], Wydawnictwo Fundacji Postępu Telekomunikacji, Kraków 1997.

REFERENCES [1] H. H. A. Diaa Eldin M. Nassar, “A Prototype Automated Dental Identification System (ADIS).” 2003. [2] G. Fahmy, D. Nassar, E. Haj-Said, H. Chen, O. Nomir, J. Zhou, R. Howell, H. H. Ammar, M. Abdel-Mottaleb, and A. K. Jain, “Towards an Automated Dental Identification System (ADIS),” in Biometric Authentication , ser. Lecture Notes in Computer Science, D. Zhang and A. K. Jain, Eds. Springer Berlin Heidelberg, Jan. 2004, no. 3072, pp. 789–796. [3] M. Abdel-Mottaleb, O. Nomir, D. Nassar, G. Fahmy, and H. Ammar, “Challenges of Developing an Automated

://www.bbci.de/competition/iv/desc_2a.pdf. Bullmore, E. and Sporns, O. (2009). Complex brain networks: Graph theoretical analysis of structural and functional systems, Nature Reviews Neuroscience 10(3): 186-198. Chavez, M., Valencia, M., Latora, V. and Martinerie, J. (2010). Complex networks: New trends for the analysis of brain connectivity, International Journal of Bifurcation & Chaos 20(6): 1677-1686. Das, K., Zhang, S., Giesbrecht, B. and Eckstein, M.P. (2009). Using rapid visually evoked EEG activity for person identification, 2009 Annual International Conference of the IEEE Engineering in

References [1] H. Chen, F. Ding, and Y. Xiao, “Decomposition-based Least Squares Parameter Estimation Algorithm for Input Nonlinear Systems using the Key Term Separation Technique”, Nonlinear Dynamics vol. 79, no. 3, 2015, pp. 2027-2035. [2] K. Deng and F. Ding, “Newton Iterative Identification Method for an Input Nonlinear Finite Impulse Response System with Moving Average Noise using the Key Variables Separation Technique”, Nonlinear Dynamics vol. 76, no. 2, 2014, pp. 1195-1202. [3] F. Ding, F. Wang, L. Xu, and M. Wu, “Decomposition based Least Squares

, Banfi G, Buttarello M, Ceriotti F, Daves M, Dolci A, et al. Recommendations for detection and management of unsuitable samples in clinical laboratories. Clin Chem Lab Med 2007; 45: 728-36. 6. Plebani M, Astion ML, Barth JH, Chen W, de Oliveira Galoro CA, Escuer MI, et al. Harmonization of quality indicators in laboratory medicine. A preliminary consensus. Clin Chem Lab Med 2014; 52: 951-8. 7. UK National Patient Safety Agency. Safer patient identification. Available at: http

References [1] Vuchkov, V. (2006). Publishing House Sofia Feneia Evidences in the criminal proceedings, pp. 73-76. [2] Tsekov, Ts. Publishing: Science and Art (1971). Tactics of identification in the pre-trial proceedings, pp. 56-58 [3] Bobev, K. (2006). Publishing House "St. Kliment Ohridski" Criminalistics, pp. 222-224. [4] Belenski, R. (2008). Ciela Publishing House Criminalistics. [5] Brus, B. & Horgan J. (2001). Ciela Publishing House Criminalistics.