Pimpunchat, Busayamas

Preferred name

Alternative Name

Pimpunchat, B.

Main Affiliation

School of Science

busayamas.pi@kmitl.ac.th

Now showing 1 - 10 of 31

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Water quality analysis for the depletion of dissolved oxygen due to exponentially increasing form of pollution sources
(2020-01-01)
Manitcharoen, N.
;
Pimpunchat, B.
;
Sattayatham, P.
Analyzing and improving mathematical models for water quality investigation are imperative for water quality issues around the world. This study is aimed at presenting the 1D unsteady state regarding analytical and numerical solutions of dissolved oxygen (DO) concentration in a river, in which the increase of pollution from a source is considered as an exponential term. Laplace transformation was utilized to obtain analytical solutions, while the finite difference technique was selected for numerical solutions. The results show that the rate of pollutant addition along the river (q) and the arbitrary constants of an exponentially increasing pollution source term (λ) affected inversely, while the initial concentration Xi affected directly, DO in the river. These solutions and simulations can be enabled for testing in various scenarios in terms of the behavior of oxygen depletion in polluted rivers.
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Applying genetic algorithm and fourier series to WQI of Tha Chin river in Thailand
(2012-12-01)
Amornsamankul, Somkid
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Pimpunchat, Busayamas
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Duangchai-Yoosook, Sartja
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Triampo, Wannapong
Water pollution is the main problem that effects on the community in Thailand. The Pollution Control Department in Thailand has indexed the water quality using eight parameters. In this paper, the main propose is to reduce eight parameters of water quality index(WQI) to four parameters which are dissolved oxygen (DO), total solid (TS), biological oxygen demand (BOD), and suspended solid (SS). The factor analysis, correlation analysis and fourier series are used to simulate the data. The data obtained from Tha Chin river during 2002 - 2007 is used in this model. The genetic algorithm is applied to find the weight of each parameter. The result shows that the modified WQI using four parameters provides the same result obtained from the model using eight parameters.
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More accurate simulation for insurance data based on a modified SVM polynomial method
(2023-06-01)
Nurhidayat, Irfan
;
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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Building resilience for sustainability of MSMEs post COVID-19 outbreak: An Indian handicraft industry outlook
(2023-02-01)
Agarwal, Vernika
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Mathiyazhagan, K.
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Malhotra, Snigdha
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Pimpunchat, Busayamas
The handicraft business constitutes concept selling rather than mere product selling, which is highly dependent on demand. Handicrafts' Micro Small and Medium Enterprises (MSMEs) have an expanding market in developed countries. The impact of the pandemic on this industry is severe due to the industry's informal nature and seasonal demand. The survival and resilience of these handicraft MSMEs face many challenges in the post-COVID-19 outbreak. The focus of the present study is to understand and analyze the key challenges for building resilience in handicraft MSMEs by scrutinizing the existing literature and interactions with stakeholders. EFA and the Grey DEMATEL approach are used to analyze the challenges for the adoption of resilience. EFA is used to categorize the challenges into various dimensions. The study has divided the challenges for the inclusion of resilience into survivable, sustainable, and viable categories using EFA to plan for short- and long-term business growth. Grey DEMATEL is being utilized for understanding these contextual relationships for each resilience dimension. Grey systems theory is a methodology that enables the incorporation of improbability and vagueness into the analysis. Findings of the study revealed the influencing challenges for each of the dimensions such as competition from machine-made products, insufficient government support and incentives for export, and inefficient managerial concern and response to internationalization as the prominent challenges. The results of this study illustrate the causal relationships amongst the identified resilience challenges to the various stakeholders. These findings offer practical insights for the government to allocate resources and impose measures to ensure resilience, as well as understanding the cause-effect relationship. Managerial implications and Policy insights for building the resilience of handicraft MSMEs are discussed in detail.
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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
;
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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Analytical and Numerical Solutions of Pollution Concentration with Uniformly and Exponentially Increasing Forms of Sources
(2020-01-01)
Manitcharoen, N.
;
Pimpunchat, B.
The study of pollution movement is an important basis for solving water quality problems, which is of vital importance in almost every country. This research proposes the motion of flowing pollution by using a mathematical model in one-dimensional advection-dispersion equation which includes terms of decay and enlargement process. We are assuming an added pollutant sources along the river in two cases: uniformly and exponentially increasing terms. The unsteady state analytical solutions are obtained by using the Laplace transformation, and the finite difference technique is utilized for numerical solutions. Solutions are compared by relative error values. The result appears acceptable between the analytical and numerical solutions. Varying the value of the rate of pollutant addition along the river (q) and the arbitrary constant of exponential pollution source term (λ) is displayed to explain the behavior of the incremental concentration. It is shown that the concentration increases as q and λ increase, and the exponentially increasing pollution source is a suitable model for the behavior of incremental pollution along the river. The results are presented and discussed graphically. This work can be applied to other physical situations described by advection-dispersion phenomena which are affected by the increase of those source concentrations.
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Suction-Enhanced Nanofluid Flow with Vibration Thermophoresis and Brownian Motion Considerations: A Peristaltic Study
(2026-01-01)
Govindan, Vediyappan
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Lakshmi, R.
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Vijayakumar, P.
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Pimpunchat, Busayamas
;
Althobaiti, Maha M.
Purpose: In recent years, nanofluids have been widely used in energy technologies and have already shown significant promise in the thermal amplification of numerous manufacturing industries. Due to its numerous applications in the operation of mineral oils, water, solar energy, and microelectronics, the study of nanofluid is becoming a significant area of research. For this reason, the present framework looks into how suction and injection affect the properties of the nanofluid flow. This article has addressed the role of the slip effect, another significant physical component in the flow analysis. Methods: The mathematical analysis in this paper was conducted using low Reynolds number and long wavelength approximations. Analytical equations for temperature profile, velocity, pressure rate nanoparticles, and stream function are developed. Pressure gradient, velocity, frictional force, and other physical properties are combined to generate a graphic representation. Results: Brownian motion features and thermophoresis serve as examples of the extraordinary properties of nanofluid. In many operating systems with higher temperature gradients, thermophoresis is relevant to mass transport processes. The influence of thermophoresis and Brownian motion factors on flow characteristics was demonstrated using graphs. The profile of temperature rises with an increase in the thermophoresis parameter. The volume fraction of nanoparticle profiles decreases with an increase in thermophoresis factors. Conclusion: Numerous industrial and biological applications, blood pumps in heart and lung machines, including the movement of hygienic fluids, the transfer of caustic fluids where it is forbidden for the fluid to come into touch with equipment parts, call for this type of study. Medical procedures like oxygenation and hemodialysis can benefit from this research as well.
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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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Analytical analysis of the magnetic field, heat generation and absorption, viscous dissipation on couple stress casson hybrid nano fluid over a nonlinear stretching surface
(2022-12-01)
Hameed, Nabila
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Noeiaghdam, Samad
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Khan, Waris
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Pimpunchat, Busayamas
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Fernandez-Gamiz, Unai
The aim of this research paper is to study two-dimension flow of Casson hybrid nanofluid along with magnetic field, heat generation and absorption, and viscous dissipation on a nonlinear extending surface. The primary goal of this study is to improve the heat transfer relationship, which is in high demand in the manufacturing and engineering industries. The outputs of this study will be used to reduce the energy consumption in industry and other engineering fields,for example, the achievement of energy is not enough, but also to adjust the consumptions of energy and this is possible only to approve the development heat transmission liquids to mechanism the expenditures of energy and to improvement. The described similarity transformation is used to convert the non-dimensionless form of the nonlinear partial differential equation to the dimensionless form of the nonlinear ordinary differential equation. An approximate analytical method is used to solve the derived dimensionless form of nonlinear ordinary differential equations, one for velocity and the other for temperature. Graphs are used to highlight the most relevant results acquired from velocity and temperature. Tables are used to describe the skin friction coefficient and the Nusselt number.
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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.

Pimpunchat, Busayamas

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