Clustering revealed in high-resolution simulations and visualization of multi-resolution features in fluid-particle models

Concurrency and Computation: Practice and Experience

Volumn 15, Issue 2, 2003, Pages 101-116

  Boryczko, Krzysztof ^a   Dzwinel, Witold ^a   Yuen, David A ^b  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Dissipative particle dynamics; Feature extraction; Fluid particle model; Large scale data sets; Parallel clustering; Visualization

Indexed keywords

COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; FLUID DYNAMICS; FORTRAN (PROGRAMMING LANGUAGE); MULTIPROCESSING SYSTEMS; PARALLEL ALGORITHMS; PARTICLES (PARTICULATE MATTER);

AGGLOMERATIVE CLUSTERING TECHNIQUE; DATA CLUSTERING; DISSIPATIVE PARTICLE DYNAMICS; FLUID PARTICLE MODEL; MUTUAL NEAREST NEIGHBOR; PARALLEL CLUSTERING;

COMPUTER SIMULATION;

EID: 0037307443     PISSN: 15320626     EISSN: None     Source Type: Journal    
DOI: 10.1002/cpe.711     Document Type: Article

References (47)

1. Yuen DA, Vincient AP, Bergeron S, Dubuffet F, Ten A, Steinbach V, Starin L. Crossing of scales and non-linearities in geophysical processes. Problems in Geophysics for the New Millennium, Boschi E, Ekstrom G, Morelli A (eds.). Editrice Compositori: Bologna, 2000; 403-462.
2. Yuen DA, Vincent AP, Kido M, Vecsey L. Geophysical applications of multidimensional filtering with wavelets. Pure and Applied Geophysics 2002; 159(10),2285-2309.
3. Beazley DM, Lomdahl PS, Gronbech-Jansen N, Giles R, Tomayo P. Parallel algorithms for short range molecular dynamics. Annual Reviews of Computational Physics III. World Scientific: Singapore, 1996; 119-175.
4. Kadau K, Germann TC, Lomdahl PS, Holian BL, Microscopic view of structural phase transitions induced by shock waves. Science 2002; 296:1681-1684.
5. Bird GA. Molecular Dynamics and the Direct Simulation of Gas flow. Oxford Science Publications: Oxford 1994.
6. Hoogerbrugge PJ, Koelman JMVA. Simulating microscopic hydrodynamic phenomena with dissipative particle dynamics. Europhysics Letters 1992; 19 (3):155-160.
7. Libersky LD, Petschek AG, Carney TC, Hipp JR, Allahdadi FA. High strain Lagrangian hydrodynamics. Journal of Computational Physics 1993; 109(1):67-73.
8. Espanol P. Fluid particle model. Physical Review E 1998; 57 (3):2930-2948.
9. Rothman DH, Zaleski S. Lattice-Gas Cellular Automata: Simple Models of Complex Hydrodynamics. Cambridge University Press: Cambridge 1997.
10. Chopard B, Droz M. Cellular Automata Modelling of Physical Systems. Cambridge University Press: Cambridge, 1998.
11. Dzwinel W, Alda W, Kitowski J, Yuen DA. Using discrete particles as a natural solver in simulating multiple-scale phenomena, Molecular Simulation 2000: 25:6361-6384.
12. Dzwinel W. Virtual particles and search for global minimum. Future Generation Computer Systems 1997; 12:1-19.
13. Wolfram S. A New Kind of Science. Wolfram Media Incorporated, 2002; 1263 pp.
14. Vashita P, Nakano A. Dynamic fracture analysis. Computing in Science and Engineering 1999: 1(5):20-23.
15. Wylie JJ, Koch DL. Particle clustering due to hydrodynamic interactions. Physics Fluids 2000: 12(5):964-970.
16. Meakin P. Fractals, Scaling and Growth Far From Equilibrium. Cambridge University Press: Cambridge, 1998.
17. Dzwinel W, Yuen DA. Mesoscopic dispersion of colloidal agglomerate in a complex fluid modelled by a hybrid fluid-particle model. Journal of Colloid interface Science 2002; 247:463-480.
18. Faber V. Clustering and the continous k-means algorithm Los Alamos Science 1994; 22:138-149.
19. Xiaowei Xu, Jager J, Kriegel H.-P. A fast parallel clustering algorithmm for large spatial databases. Data Mining and Knowledge Discovery 1999; 3(3):263-290.
20. Judd D, McKinley PK. Jain AK. Large-scale parallel data clustering. IEEE transactions on Pattern Analysis 1998;20(8):871-876.
21. Olson CF. Parallel algorithms for hierarchical clustering. Parallel Computing 1995; 21(8):1313-1325.
22. Friedman JH, Baskett F, Shustek LJ. An algorithm for finding nearest neighbors. IEEE Transactions on Computers 1975: C-24:1000-1006.
23. Gowda CK, Krishna G. Agglomerative clustering using the concept of nearest neighborhood. Pattern Recognition 1978: 10:105.
24. Hockney RW, Eastwood JW. Computer Simulation Using Particles. Institute of Physics Publishing; London, 1981.
25. Andenberg MR. Clusters Analysis for Applications. Academic Press: New York 1973.
26. Jain D, Dubes RC. Algorithms for Clustering Data. (Advanced Reference Series). Prentice-Hall: Englewood Cliffs, NJ. 1988.
27. Theodoris S, Koutroumbas K. Pattern Recognition. Academic Press: San Diego, CA. 1998.
28. Ben-Zion Y, Lyakhovksy V. Accelerated seismic release and related aspects of seismicity patterns on earthquake faults. Pure and Applied Geophysics 2002; 159 (10). At press.
29. Lyakhovsky V, Ben-Zion Y, Agnon A. Earthquake cycle, fault zones and seismicity patterns in a rheologically layered lithosphere. Journal of Geophysics Research 2001; 106: 4103-4120.
30. Wylie JJ, Koch DL. Particle clustering due to hydrodynamic interactions. Physics Fluids 2000; 12 (5):964-970.
31. Rundle JB, Klein W, Tiampo K, Gross S. Linear pattern dynamics in nonlinear threshold systems. Physics Reviews E 2000: 61(3):2418-2431.
32. Rundle JB, Gross S, Klein W, Ferguson C, Turcotte DL. The statistical mechanics of earthquakes. Tectonophysics 1997; 277:147-164.
33. Freed AM, Lin J. Delayed triggering of the 1999 Hector Mine earthquake by viscoelastic stress transfer. Nature 2001: 411:180-183.
34. Briceno C, Vivas AK, Calvet N, Hartman L, Pacheco R, Herrera D, Romero L, Berlind P, Sanchez G, Snyder JA, Andrews P. The CIDA-QUEST large-scale survey of Orion OB1: Evidence for rapid disk dissipation in a dispersed stellar population. Science 2001; 291: 93-96.
35. Barnes JE, Hernquist L. Transformation of galaxes. II. Gasdynamics in merging disk galaxies. Astrophysics Journal 1996: 471:115-142.
36. Su MS, Chou Ch. A modified version of the K-means algorithm with a distance based on cluster symmetry. IEEE Transactions on Patter Analysis 2001; 23:674-680.
37. Dzwinel W. How to make Sammon's mapping useful for multi-dimensional data structures analysis? Pattern Recognition 1994; 27(7):949-959.
38. Dzwinel W, Blasiak J. Method of particles in visual clustering of multi-dimensional and large data sets. Future Generation Computers Systems 1999; 15:365-379.
39. TGS-visual concept for the new millennium. http://www.tgs.com.
40. Gast AP, Russel WB. Simple ordering in complex fluids. Physics Today 1998; 51(12):24-30.
41. Dzwinel W, Yuen DA. Matching macroscopic properties of binary fluid to the interactions of dissipative particle dynamics. International Journal of Modern Physics 2000; 11(1):1-25.
42. Dzwinel W, Yuen DA. A two-level, discrete-particle approach for simulating ordered colloidal structures. Journal of Colloid Interface Science 2000; 225(1):179-190.
43. Boryczko K, Dzwinel W, Yuen DA. Parallel implementation of the fluid particle model for simulating complex fluids in the mesoscale. Concurrency and Computation: Practice and Experience 2002; 14:137-161.
44. Young WR, Robert AJ, Stuhne G. Reproductive pair correlations and the clustering of organisms. Nature 2001; 412:328-331.
45. Fox G, Sung-Hoon Ko, Pierce M, Balsoy O, Kim J, Lee S, Kim K, Oh S, Rao X, Varank M, Bulut H, Gunduz G. Qiu X, Pallickara S, Uyar A, Youn Ch. Grid services for earthquake science. Concurrency and Computation: Practice and Experience 2002: 14(6/17):371-393.
46. Fox G. Web services and peer-to-peer technologies for the Grid. ICCS, Amsterdam, 24 April 2002. http://grids.ucs.indiana.edu/ptliupages/publications/presentations/iccsapril02.p pt.
47. Fox G. Collaboration and Web services, 4 April 2002. http://grids.ucs.indiana.edu/ptliupages/publications/presentations/collabwsncsaa pril02.ppt.