J. C. Platt, Sequential minimal optimization-A fast algorithm for training support vector machines, in advances in kernel methods-support vector learning. Cambridge, MA: MIT Press, 1998.
D. Gomez, J. Montero, and G. Biging, "Improvements to remote sensing using fuzzy classification, graphs and accuracy statistics," Pure Appl. Geophys., vol. 165, pp. 1555-1575, 2008.
E. O. Edgar, F. Robert, and G. Federico, Support vector machines: Training and applications: A.I. Memo No. 1602, C.B.C.L Paper No.144, March 1997, 2004.
P. Scott and H. Lutz, "Comparing the results of support vector machines with traditional data mining algorithms, supported by Amica Life Insurance Company."
W. Xiao-Hong, "Coll. of electr and inf eng, Jiangsu Univ, Zhenjiang. A possibilistic C- means clustering algorithm based on kernel methods," presented at the Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, Nov 2005.
No any video found for this article.
Geeta R.B. , Shobha R.B. , Shashikumar G. Totad , Prasad Reddy PVGD (2014). Web Pages Categorization Based on Classification & Outlier Analysis through FSVM. Review of Computer Engineering Research, 1(1): 19-30. DOI:
The performance of Support Vector Machine is higher than traditional algorithms. The training process of SVM is sensitive to the outliers in the training set. Here in this Paper, a new approach called, Web Pages Categorization based on Classification and Outlier Analysis (WPC-COA), is proposed that uses a polynomial Kernel function to map web page tuples to high dimensional feature space.
This study uses a new methodology which helps in mapping web page tuples with various attributes such as frequency, time spent on each page, in-degree, out-degree and level of a web page to high dimensional feature space. The paper’s primary contribution is to categorize web pages based on classification and outlier analysis using Polynomial Kernel function.
Quasi 3d Refined Simulation of Flow and Pollutant Transport in the Yangtze River
M. Choi and H. Takashi, "A numerical simulation of lake currents and characteristics of salinity changes in the freshening process," J. Japan Society of Hydrology and Water Resources, (In Japanese), vol. 13, pp. 439-452, 2000.
M. Lunis, V. Mamchuk, V. Movchan, L. Romanyuk, and E. Shkvar, "Algebraic models of turbulent viscosity and heat transfer in analysis of near-wall turbulent flows," International J. Fluid Mechanics Research. Available: http://dx.doi.org/doi/10.1615/InterJFluidMechRes.v31.i3.60, vol. 31, pp. 60-74, 2004.
J. Vasquez, "Two dimensional finite element River morphology model," Ph. D. Dissertation, University of British Columbia, 2005.
S. Kwan, "A two dimensional hydrodynamic river morphology and gravel transport model," Master (MASc) Degree Thesis, University of British Columbia, 2009.
E. Viparelli, O. Sequeiros, A. Cantelli, P. Wilcock, and G. Parker, "River morphodynamics with creation/consumption of grain size stratigraphy 2: Numerical model," Journal of Hydraulic Research. Available: http://dx.doi.org/doi/doi:10.1080/00221686.2010.526759, vol. 48, pp. 727-741, 2010.
W. Rodi, R. Pavlovic, and S. Srivatsa, Prediction of flow pollutant spreading in rivers. In: Transport models for inland and coastal waters: Proceedings of the symposium on predictive ability. Berkeley: University of California Academic Press, 1980.
R. Chapma and C. Kuo, "A numerical simulation of two-dimensional separated flow in a symmetric open-channel expansion using the depth-Integrated two equation (k-?) turbulence closure model. Rep. 8202," Virginia Polytechnic Inst. and State Univ., Blacksburg, VA1982.
Z. Mei, A. Roberts, and Z. Li, "Modeling the dynamics of turbulent floods," SIAM J. Applied Mathematics. Available: http://dx.doi.org/doi/10.1137/S0036139999358866, vol. 63, pp. 423-458, 2002.
H. Johnson, T. Karambas, I. Avgeris, B. Zanuttigh, D. Gonzalez-Marco, and I. Caceres, "Modelling of waves and currents around submerged breakwaters," Coastal Engineering. Available: http://dx.doi.org/doi/10.1016/j.coastaleng.2005.09.011, vol. 52, pp. 949-969, 2005.
L. Cea, L. Pena, J. Puertas, M. Vazquez-Cendon, and E. Pena, "Application of several depth-averaged turbulence models to simulate flow in vertical slot fishways," J. Hydraulic Engineering. Available: http://dx.doi.org/doi/10.1061/(ASCE)0733-9429(2007)133:2(160), vol. 133, pp. 160-172, 2007.
Z. Hua, L. Xing, and L. Gu, "Application of a modified quick scheme to depth-averaged ?–? turbulence model based on unstructured grids," J. Hydrodynamics Ser. B., pp. 514-523, 2008.
I. Kimura, W. Uijttewaal, T. Hosoda, and M. Ali, "URANS computations of shallow grid turbulence," J. Hydraulic Engineering. Available: http://dx.doi.org/doi/10.1061/(ASCE)0733-9429(2009)135:2(118), vol. 135, pp. 118-131, 2009.
J. Lee, H. Chan, C. Huang, Y. Wang, and W. Huang, "A depth-averaged two-dimensional model for flow around permeable pile groins," International J. the Physical Sciences. Available: http://dx.doi.org/doi/10.5897/IJPS11.078, vol. 6, pp. 1379-1387, 2011.
L. Yu, Quasi 3D modeling flow and contaminant transport in shallow waters. Germany: Lap Lambert Academic Publishing, 2013.
J. Ferziger and M. Peric, Computational methods for fluid dynamics, 3rd ed. Berlin: Springer, 2002.
P. Saffman, A model for inhomogeneous turbulent flow vol. A317. London: In: Proc. Roy. Soc., 1970.
D. Wilcox, Turbulence modeling for CFD. La Canada: DCW Industries, Inc., 1998.
A. Riasi, A. Nourbakhsh, and M. Raisee, "Unsteady turbulent pipe flow due to water hammer using k–? turbulence model," J. of Hydraulic Research. Available: http://dx.doi.org/doi/10.1080/00221681003726247, vol. 47, pp. 429-437, 2009.
M. Kirkgoz, M. Akoz, and A. Oner, "Numerical modeling of flow over a chute spillway," J. Hydraulic Research, vol. 47, pp. 790-797, 2009.
L. Yu and J. Yu, "Numerical research on flow and thermal transport in cooling pool of electrical power station using three depth-averaged turbulence models," Water Science and Engineering. Available: http://dx.doi.org/doi/10.3882/j.issn.1674-2370.2009.03.001, vol. 2, pp. 1-12, 2009.
J. McGuirk and W. Rodi, A depth-averaged mathematical model for side discharges into open channel flow. SFB 80/T/88. Germany: Universität Karlsruhe, 1977.
L. Yu and S. Zhang, "A new depth-averaged two-equation (k-w) turbulent closure model," J. Hydrodynamics Series. B., vol. 1, pp. 47-54, 1989.
J. Ilegbusi and D. Spalding, Application of a new version of the K-W model of turbulence to a boundary layer with mass transfer. CFD/82/15. London: Imperial College, 1982.
L. Yu and A. Righetto, "Depth-averaged turbulence model and applications," Advances in Engineering Software. Available: http://dx.doi.org/doi/10.1016/S0965-9978(00)00100-9, vol. 32, pp. 375-394, 2001.
No any video found for this article.
Li-ren Yu (2014). Quasi 3d Refined Simulation of Flow and Pollutant Transport in the Yangtze River. Review of Computer Engineering Research, 1(1): 1-18. DOI:
This paper reports a quasi 3D simulation in a curved river reach of The Yangtze River near The Huangshigang City, aiming to develop a numerical tool for modeling turbulent flows and pollutant transport in complex natural waters. The depth-averaged two-equation turbulence model, together with and models, were used to close quasi 3D hydrodynamic fundamental governing equations. The discretized equations were solved by advanced multi-grid iterative method under coarse and fine two-levels’ grids. The processes of plume development, caused by the side-discharge from a tributary, also have been investigated numerically. The used three turbulence models are suitable for modeling strong mixing turbulence. The model with higher order of magnitude of transported variable provides a possibility to increase the computational precision. Based on the developed hydrodynamic model, a CFD software, namely Q3drm1.0, was preliminarily developed. This tool focuses on the refined simulations of the steady and unsteady problems of flow and transports with the strong ability to treat different types of discharges.