Journal of information and communication convergence engineering

  • 제3권2호
  • /
  • Pages.84-89
  • /
  • 2005
  • /
  • 2234-8255(pISSN)
  • /
  • 2234-8883(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
권호 표지

Development of Simulator with Cluster System for Towing Fisheries

  • Park Myeong-Chul (Dept. of Computer science, Gyeongsang national Univ.) ;
  • Ha Seok-Wun (Dept. of Computer science, Gyeongsang national Univ.)
  • 발행 : 2005.06.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Goal of this study is to implement 3-dimensional underwater appearance graphical display, fishery measured information display, sonar data representation and display, and 3-dimensional underwater appearance animation based on coefficient data of chaos behavior and fishing modeling of fishing gears from PC cluster system. In order to accomplish the goals of this study, it is essential to compose user interfacing and realistic description of image scenes in the towing-net fishery simulator, and techniques to describe sand cloud effects under water using particle systems are necessary. In this study, we implemented graphical representations and animations of the simulator by using OpenGL together with C routines.

키워드

참고문헌

  1. Matuda. K, Sannomiya. N, Computer simulation of fish behaviour in relation to fishing gear. Bull. Japanese Soc. Sci. Fish., 46(6), pp. 689-697, 1980 https://doi.org/10.2331/suisan.46.689
  2. Kim. Y-H, 'Developing a model of fish behaviour to towed fishing gear,' Ph.D Thesis in the University of Aberdeen, pp. 280, 1996
  3. Ferro. R.S.T, 'Computer simulation of trawl gear shape and loading,' Proceedings World Symposium on Fishing Gear and Fishing Vessel Design. Marine Institutes, Canada, pp. 259-262, 1989
  4. Warren. M.S. etc, Avalon: An Alpha/Linux cluster achieves 10 Gflops for $150k. Los Alamos Laboratory, USA,1998
  5. Sterling. T.L, How to build a Beowulf: A guide to the implimentationing application of PC clusters, MIT Press, 1999
  6. Bake L, Parallel Programming, SamGakHyung Press, pp. 419, 1997
  7. Ong. H, and P. A. Farrell, 'Performance Comparison of LAM/MPI, MPICH, and MVICH on a Linux Cluster connectedby a Gigabit EthernetNetwork,' the Proceeding of the 4th Annual Linux Showcase and Conference, Atlanta, Georgia, pp. 353-362, 2000
  8. Saphir. W., A. Woo and M. Yarrow, The NAS Parallel Benchmarks 2.i Results, NASA Technical Report NAS-96-010, NASA Ames Research Center, 1996
  9. Somerton. D.A, Munro. P, Bridle efficiency of a survey trawl for flatfish, Fish. Bull. 99, pp. 641 -652, 2001
  10. Weinberg. K.L. et al, 'The effect of trawl speed on the footrope capture efficiency of survey trawl,' Fisheries Research 58, pp. 303-313, 2002 https://doi.org/10.1016/S0165-7836(01)00395-2
  11. Kim. Y-H. and Wardle. C.S, 'Modelling the visual stimulus of towed fishing gear,' Fisheries Research 34(2), pp. 165-177, 1998 https://doi.org/10.1016/S0165-7836(97)00089-1
  12. Santos. M.N. et al, 'Weight-length relationship for 50 selected fish species of the Algarve coast (southern Portugal),' Fisheries Research 59, pp. 289-295, 2002 https://doi.org/10.1016/S0165-7836(01)00401-5
  13. Wright. R.S. & Sweet. M, OpenGL SuperBible, Waite Group Press, 2000
  14. Hoppe. H, 'Smooth view-dependent level-ofdetail control and its application to terrain rendering,' Proceedings IEEE Visualization '98, pp. 352, 1998
  15. Hocknew. R W. and Eastwood. J.W, Computer Simulation Using Particles, Adam Hilger, NewYork, 1988
  16. Main. J. and Sangster. G.I, 'A study of the fish capture process in a bottom trawl by direct observations from towed underwater vehicle,' Scott. Fish. Res. Rep. 23, pp. 1-23, 1981