Pimpunchat, Busayamas

Preferred name

Alternative Name

Pimpunchat, B.

Main Affiliation

School of Science

busayamas.pi@kmitl.ac.th

Now showing 1 - 10 of 32

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More accurate simulation for insurance data based on a modified SVM polynomial method
(2023-06-01)
Nurhidayat, Irfan
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Pimpunchat, Busayamas
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Klomsungcharoen, Wiriyabhorn
This study aims to present the modified SVM polynomial method in order to evaluate insurance data. The research methodology discusses classical and modified SVM polynomial methods by R programming, and uses performance profiles to create the most preferable methods. It offers a new algorithm called an accurate evaluating algorithm as the way to construct the modified SVM polynomial method. The classical SVM polynomial method is also represented as the main idea in finding the modified polynomial SVM method. Model Performance Evaluation (MPE), Receiver Operating Characteristics (ROCs) Curve, Area Under Curve (AUC), partial AUC (pAUC), smoothing, confidence intervals, and thresholds are further named an accurate evaluating algorithm, employed to build the modified SVM polynomial method. The research paper also presents the best performance profiles based on the computing time and the number of iterations of both classical and modified SVM polynomial methods. Performance profiles show numerical comparisons based on both methods involving insurance data also displayed in this paper. It can be concluded that applying an accurate evaluating algorithm on the modified SVM polynomial method will improve the data accuracy up to 86% via computing time and iterations compared to the classical SVM polynomial method, which is only 79%. This accurate evaluating algorithm can be applied to various large-sized data by utilizing R programming with changing any suitable kernels for that data. This vital discovery will offer solutions for faster and more accurate data analysis that can benefit researchers, the private sector, or governments struggling with data.
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Using ANOVA to evaluate the effects of swine slaughterhouse wastewater conditions on algae growth
(2018-01-01)
Sornnery, Achara
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Pimpunchat, Busayamas
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Tuntiwarasakul, Daranporn
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Kitrungloadjanaporn, Pongpatai
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Amornsamankul, Somkid
Wastewater is a major environmental problem. Swine slaughterhouses generate a large volume of wastewater with high an organic load and nutrients. It therefore has the potential to cause environmental problems. The effects of swine slaughterhouse wastewater conditions on algae growth are evaluated. Microalgae, Chlorella vulgaris TIST8580 in water mixtures Tris acetate phosphate medium (control) and in diluted sewage from a slaughter house with the ratio of 25:75 and 50:50 (sewage: water) were experimentally studied. We used One-way ANalysis Of Variance (One-way ANOVA) and Two-ways analysis of variance (Two-way ANOVA) techniques for testing the differences between the 3 cases of the culture conditions used. It was found that from the One-Way ANOVA, the average number of cells of algae in wastewater in the 25% and 50% groups is not significantly different but both of these groups are significantly different from that of the control group. In addition, from the Two-Way ANOVA, we found that unlike the control group, the same kind of data in both 25% and 50% groups had no significant difference. This implies that the characteristic growth of algae in these two group do not significantly change over the culture period. We believe that our finding could benefit the researchers to properly design experiments especially for the case of resource limitation.
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Mathematical modeling of infectious disease transmission in macroalgae
(2017-12-01)
Nokkaew, Artorn
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Modchang, Charin
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Amornsamankul, Somkid
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Lenbury, Yongwimon
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Pimpunchat, Busayamas
Understanding the infectious diseases outbreak of algae can provide significant knowledge for disease control intervention and/or prevention. We consider here a disease caused by highly pathogenic organisms that can result in the death of algae. Even though a great deal of understanding about diseases of algae has been reached, studies concerning effects of the outbreak at the population level are still rare. For this reason, we computationally model an outbreak in the algae reservoir or container systems consisting of several patches or clusters of algae being infected with a contagious infectious disease. We computationally investigate the systems as well as make some predictions via the deterministic SEIR epidemic model. We consider the factors that could affect the spread of the disease including the number of patches, the size of initial infected population, the distance between patches or spatial range, and the basic reproduction number (R<inf>0</inf>). The results provide some information that may be beneficial to algae disease control, intervention or prevention.
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Numerical computing of Soret and linear radiative effects on MHD Casson fluid flow toward a vertical surface through a porous medium: Finite element analysis
(2022-11-20)
Alrehili, Mohammed F.
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Shankar Goud, B.
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Dharmendar Reddy, Y.
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Mishra, S. R.
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Lashin, Maha M.A.
In this work, we investigate the time-dependent MHD free convection of Casson fluid across a vertical semi-infinite plate fitted inside a permeable medium, along with viscous dissipation, radiation absorption, and Soret effect by using several non-dimensional variables. The characteristics of a variety of elements influencing the flow phenomenon are examined using the Casson fluid model. The governing dimensional partial differential equations are transformed into an ordinary differential equation set by introducing the similarity variables. The reduced model is numerically solved via the Galerkin finite element method. The non-dimensional equations with suitable boundary conditions can be mathematically simplified using the efficient Galerkin finite element approach. The restrictions are shown numerically and graphically, and their effects on temperature, velocity, species concentration, and rate coefficients are all shown. This study is to present the influence of radiation absorption along with viscous dissipation on the heat transfer phenomenon. For different flow parameter estimations, graphs are generated for various flow profiles as well as skin friction coefficients. The Nusselt (Nu) and Sherwood (Sh) quantities are also demonstrated via graphs.
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Brownian motion effects and thermophoresis on heat transmission mechanism of hybrid nano liquid flow over a stretched wedge surface
(2025-06-01)
Swami, Sharanayya
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Biradar, Suresh
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Tawade, Jagadish V.
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Govindan, Vediyappan
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Byeon, Haewon
The current study observes the impact of thermophoresis, Brownian motion, and magnetic fields on the flow and heat transfer properties of a hybrid nanofluid containing Al<inf>2</inf>O<inf>3</inf>, CuO, and ethylene glycol over a wedge-shaped surface undergoing horizontal stretching. The study addresses the critical need to enhance energy transfer and thermal management systems, which have significant technical and industrial applications. To model the problem, flow equations were transformed into ordinary differential equations using similarity transformations and solved numerically via the Runge-Kutta-Fehlberg method. The results reveal that the wedge angle and magnetic field strength are crucial factors influencing the flow and thermal behavior. Specifically, increasing the wedge angle enhances the Nusselt number but reduces the thermal and diffusion profiles. The suction and injection of the fluid significantly impact the local heat transfer rates and boundary layer thickness. Additionally, the Buongiorno slip parameter reduces the rate of energy transfer while amplifying thermal distributions. The thermophoresis parameter was found to influence both concentration and thermal boundary layers. A comparative analysis between Newtonian and non-Newtonian fluids showed that hybrid nanofluids improve mass and energy transfer rates in both cases, with enhanced effects observed in non-Newtonian fluids. The study's novelty lies in its comprehensive exploration of magneto-flow dynamics and hybrid nanofluid behavior in the context of wedge geometries and external magnetic fields. The findings extend previous research by offering quantitative insights into how key parameters like wedge angles, thermophoresis, and Brownian motion affect heat and mass transfer processes, providing a robust framework for optimizing hybrid nanofluid applications in engineering and industrial systems. The results align well with existing literature, validating the study's contributions to the field.
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Numerical simulation of unsteady MHD bio-convective flow with Cattaneo-Christov heat flux over a stretching surface
(2025-04-01)
Shalini, Chinnam A.A.E.
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Ganteda, Charankumar
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Reddy, G. V.Ramana
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Maheswari, B. Uma
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Kokila, G.
The study explores the properties of mass and heat transfer in a time-dependent, unsteady magnetohydrodynamic (MHD) flow over a permeable, radiative, and expanded surface, incorporating bio-convection, nanoparticle suspension, and gyrotactic bacteria dynamics. The model considers the effects of emission, speed slip, and bio-thermal convection in the fluid system. The Cattaneo-Christov heat flux model is employed to account for the finite speed of thermal diffusion, and the fourth-order Runge-Kutta method with the shooting technique is utilized for numerical solutions. Additionally, the study investigates the influence of mass suction, heat source, and aligned magnetic field on the boundary layer. The local concentration of mobile microorganisms decreases as the stretching parameter and bio-convection Schmidt both improve. The concentration φ(η) gets stronger, and when Sc values increase, it decreases. The concentration of microorganism h(η) is strengthened by increasing angle β, but it is diminished by increasing Pe,Sb and Sc, respectively.Even if the rate of temperature transmission (Nu) is maximal for positive values of A relative to negative values, the friction drags (C<inf>f</inf>) are more powerful for negative values of A than for positive values of A.
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Modeling and optimization of G-protein coupled receptor signal transduction
(2011-06-01)
Modchang, Charin
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Pimpunchat, Busayamas
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Triampo, Wannapong
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Triampo, Darapond
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Lenbury, Yongwimon
Signal transduction is the process by which a cell converts one kind of signal or stimulus into another. In this process, G-protein coupled receptors (GPCRs) are considered a major class of membrane protein receptors. GPCRs play a critical role in signal transduction, and they are important pharmacological drug targets. Motivated by some specific experimental data, we construct a mathematical model to investigate a signaling system of interest. The model is composed of mass-action ordinary differential equations that describe ligand-receptor and receptor- G-protein interactions. Because the kinetic reaction rates in the signaling processes previously gathered in reliable in vivo and in vitro experiments are limited to a small number of known values, we apply a genetic algorithm (GA) to estimate the parameter values in our model. In order to carry out the parameter estimation, we use the Augmented Lagrangian Genetic Algorithm (ALGA) with help from the mathematical theorem of infinite norm. This method ensures a faster parameter estimation speed in the modeled system. In addition, mathematical analyses are also performed. Some good agreement between analytic, numerical and experimental data was found. The simulation results of the model are extensively discussed and compared with the experimental data. © 2011 Pushpa Publishing House.
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Effects of mass transfer and MHD Casson nanofluid heat transfer on thermophoresis at stagnation point
(2025-05-01)
Seethamahalakshmi, V.
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Venkata Kalyani, U.
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Padma, A.
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Nagalakshmi, P. S.S.
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Ramana Reddy, G. V.
This study seeks to analyse the magnetohydrodynamic (MHD) flow of a nanofluid, focussing on heat and mass transfer in nano liquids over a stretchable surface near a stagnation point, while considering changeable thermal conductivity. The thermal behavior of the suspended nanoparticles is found to be significantly affected by Brownian motion. The influence of the chemical responses well as the continuous inner warmth source or washbasin are in addition taken into account. The governing equations are changed into a system of coupled ordinary differential equations utilising an appropriate similarity transformation. The computational software PYTHON is employed to address the boundary value problem (BVP) utilising the shooting method. The numerical results are supported by the online PYTHON software function bvp4c. The numerical results are derived by varying the values of the physical parameters associated with the flow problem. The results are presented in graphical and tabular formats. As the thermal energy of the liquid increases, the thermophoresis values trend upward, while the Nb values show a downward trajectory. Also, we found that the response rate encourages a reduction in the thermal boundary layer's thickness.
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Numerical study on thermal radiation and chemical reaction impacts on Prandtl nanofluid flow over a bilinear stretching sheet with heat generation and absorption: Response surface methodology
(2025-02-01)
Padmavathi, L.
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Kumar, S. Geethan
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Ganteda, Charankumar
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Varma, S. V.K.
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Gouthami, E.
The study focuses on the three-dimensional flow of a non-Newtonian Prandtl nanofluid with electrical conductivity, flowing over a bilinear expanding surface within a porous medium. These flows in porous medium are applied in water purification processes, petroleum industries and also chemical factories. The exploration examines various heat and mass transport phenomena, including the consequences of thermal radiation, thermophoresis, Brownian motion, substance response and heat source/sink. The governing partial differential equations are reformulated into a system of nonlinear ordinary differential equations through the application of appropriate similarity transformations. These equations are subsequently solved by using numerical methods bvp4c as well as shooting method. Furthermore, the arithmetical values for the friction factor and the temperature and accumulation constants are provided in tables. It is experiential that the Prandtl fluid constraint enhances the axial and transverse velocities, while the temperature sharing shows an inverse relationship. The temperature and concentration distributions have an opposite attitude with the influence of Brownian motion parameter.
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Modeling water quality assessment-based MHD flow with Forchheimer and chemical reaction effects over a stretching melting surface via RSM
(2026-01-01)
Govindan, Vediyappan
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Pimpunchat, Busayamas
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Shaw R, Shaik Mohiddin
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Byeon, Haewon
The study of magnetohydrodynamic (MHD) boundary layer flow over melting surfaces embedded in Darcy–Forchheimer porous media is essential for improving thermal management in industrial processes such as metal casting, polymer extrusion, and geothermal heat extraction. This research numerically investigates the combined effects of chemical reaction, thermal radiation, viscous dissipation, and Forchheimer inertial resistance on the velocity, temperature, and concentration distributions within an electrically conducting fluid flowing over a moving, melting surface. Assuming an incompressible Newtonian fluid and employing similarity transformations, the governing equations are formulated based on the conservation of mass, momentum, energy, and species concentration. The resulting system of nonlinear ordinary differential equations (ODEs) is solved using a shooting method in conjunction with the fourth-order Runge–Kutta scheme. Overall, the proposed numerical model effectively captures the interplay of magnetic, thermal, and chemical effects, offering valuable insights for the design of efficient thermal systems involving melting processes and porous structures.

Pimpunchat, Busayamas

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