Browsing by Author "Pallop Huabsomboon"

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    Development of level set in image segmentation with the portable extensible toolkit for scientific computation
    (2016-10-01) Phusanisa Lomthong; Pallop Huabsomboon; Masaaki Tamagawa; Mahidol University; Kyushu Institute of Technology
    Copyright © 2016 American Scientific Publishers All rights reserved. The level set method is one class of the segmentation algorithms in medical imaging and computer science. The Aim of medical image segmentation is to separate a given image into the essential segments expressed various problem including tumor segmentation, shape analysis and diagnosis some diseases. To implement the standard level set method, re-initialization is needed occasionally and it makes quite time consuming during detecting boundary curves. Fast medical image segmentation is essential for medical technologist to diagnose and understand some diseases better. So it is an extensive problem to reduce the computational time for reinitialization process. Message Passing Interface (MPI) approach is represented as a fast computing technique. This paper presents the Portable Extensible Toolkit for Scientific Computation (PETSc) for developing a large scale level set in image segmentation. PETSc is a parallel algorithm based on MPI for solving nonlinear systems. By comparing with traditional algorithm, experimental results show that the parallel algorithm is effective in terms of time reduction with the same segmentation accuracy.
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    Efficient numerical technique for solving integral equations
    (2021-03-01) Itthithep Navarasuchitr; Pallop Huabsomboon; Hideaki Kaneko; Mahidol University; Old Dominion University
    In this paper, we apply an numerical technique to solve a solution of linear Volterra Integro- Differential Equations. The numerical technique originally developed by Huabsomboon et al. [P. Huabsomboon, B. Novaprateep, H. Kaneko, On Taylor-series expansion techniques for the second kind integral equations, J. Comput. Appl. Math. 234 (2010) 1446-1472] bases on Taylor-series expansion. Our results shown that the technique is simple and efficient.
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    Fast computer simulation method of thrombus formation on pipe orifice flow
    (2016-08-01) Nattakarn Numpanviwat; Pallop Huabsomboon; Masaaki Tamagawa; Mahidol University; Kyushu Institute of Technology
    © 2016 ICIC International. This paper presents the performance of the parallel algorithm for simulating thrombus formation on pipe orifice flow by using a PETSc software library package. Since the computational cost for bio-fluid problems is very expensive, an efficient algorithm such as parallel computing is necessary in order to overcome this limitation. The parallel program reduces the computational time by dividing workload to calculate simultaneously for each processor or computer. This will help researchers and physicians for medical diagnosis and development of medical devices. The blood flow used in this analysis is modeled by the incompressible Navier-Stokes equations with a partially patched modified k − ϵ model. Moreover, the platelet adhesion model is used for predicting the formation of thrombus. We perform the numerical experiments on the orifice configuration. The results show that our program can reduce the computation time by increasing the number of processors.
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    On Taylor-series expansion methods for the second kind integral equations
    (2010-07-01) Pallop Huabsomboon; Boriboon Novaprateep; Hideaki Kaneko; Mahidol University; Old Dominion University
    In this paper, we comment on the recent papers by Yuhe Ren et al. (1999) [1] and Maleknejad et al. (2006) [7] concerning the use of the Taylor series to approximate a solution of the Fredholm integral equation of the second kind as well as a solution of a system of Fredholm equations. The technique presented in Yuhe Ren et al. (1999) [1] takes advantage of a rapidly decaying convolution kernel k (| s - t |) as | s - t | increases. However, it does not apply to equations having other types of kernels. We present in this paper a more general Taylor expansion method which can be applied to approximate a solution of the Fredholm equation having a smooth kernel. Also, it is shown that when the new method is applied to the Fredholm equation with a rapidly decaying kernel, it provides more accurate results than the method in Yuhe Ren et al. (1999) [1]. We also discuss an application of the new Taylor-series method to a system of Fredholm integral equations of the second kind. © 2010 Elsevier B.V. All rights reserved.