Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The paper is concerned with the analysis of under-keel clearance of ships based on real data from Szczecin Maritime Office. Using probabilistic method for UKC assessment give it possibility to create the distribution of under-keel clearance in several ship’s passages and in further step to determine the probability of ship’s grounding accident during the port approach. The results of using this type of model could be used in risk assessment of ships entering to the ports, therefore it is possible to used probabilistic model in Maritime Office employees’ everyday decision making practice. Research results present verification of probabilistic model, based on data from Vessel Traffic Service database and probability of touching the bottom during ships’ passages on Swinoujscie – Szczecin waterway. Moreover there are presented examples of these situations when entering to the port for analysed ships is not allowed according to the model.
Słowa kluczowe
Rocznik
Tom
Strony
197--204
Opis fizyczny
Bibliogr. 15 poz., rys., wykr.
Twórcy
autor
- Wroclaw University of Technology, Wroclaw, Poland
Bibliografia
- [1] Avižienis, A., Laprie, J. & Randell, B. (2000). Fundamental Concepts of Dependability. 3rd Information Survivability Workshop (ISW-2000), Boston, Massachusetts, USA.
- [2] Barlow, R. & Proschan, F . (1996). Mathematical Theory of Reliability. Society for Industrial and Applied Mathematics, Philadelphia.
- [3] Birta, L. & Arbez, G. (2007). Modelling and Simulation: Exploring Dynamic System Behaviour, Springer London.
- [4] Fishman, G. (1996). Monte Carlo: Concepts, Algorithms, and Applications. Springer-Verlag, New York.
- [5] Kaplon, K., Mazurkiewicz, J. & Walkowiak, T. (2003). Economic Analysis of Discrete Transport Systems. Risk Decision and Policy, 8, 179-190.
- [6] Lavenberg, S.S. (1989). A perspective on queueing models of computer performance. Performance Evaluation, 10, Issue 1, 53-76.
- [7] Liu, J. (2006). Parallel Real-time Immersive Modelling Environment (PRIME), Scalable Simulation Framework (SSF), User’s manual. Colorado School of Mines Department of Mathematical and Computer Sciences. Available online: http://prime.mines.edu/].
- [8] Michalska, K. & Walkowiak, T. (2009). Simulation approach to performance analysis information systems with load balancer. Information systems architecture and technology: advances in Web-Age Information Systems. 269-278.
- [9] Michalska, K. & Walkowiak, T. (2010). Fault modelling in service-based oriented information systems. Information systems architecture and technology: new developments in Web-Age Information.89-99.
- [10] Nicol, D., Liu, J., Liljenstam, M. & Guanhua, Y. (2003). Simulation of large scale networks using SSF. Proc. of the 2003 Winter Simulation Conference, 1, 650-657.
- [11] Nielsen, J. (1994). Usability Engineering. Morgan Kaufmann, San Francisco.
- [12] Rahmawan, H. & Gondokaryono, Y.S. (2009) The simulation of static load balancing algorithms. International Conference on Electrical Engineering and Informatics, ICEEI '09. 2, 640-645.
- [13] Walkowiak, T. (2009). Information systems performance analysis using task-level simulator. DepCoS - RELCOMEX 2009, IEEE Computer Society Press. 218-225.
- [14] Walkowiak, T. & Michalska, K. (2010). Performance analysis of service-based information system with load balancer - simulation approach. Dependability of networks, 155-168.
- [15] Zyla, M. & Caban, D. (2008). Dependability Analysis of SOA systems. DepCoS - RELCOMEX 2008, IEEE Computer Society Press,
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-65823597-8691-4bf2-9728-8bc0e37253b9