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Pornchai Bumroongsri. Development of convolutional neural network for leaked gas detection and classification in chemical processes. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Development of convolutional neural network for leaked gas detection and classification in chemical processes
Name: Satrio Yudanto
Organization :
Mahidol University. Faculty of Engineering
Email :
satrioyudanto@gmail.com
Name: Poomiwat Phadungbut
Organization :
Mahidol University. Faculty of Engineering
Email :
poomiwat.pha@mahidol.edu
Name: Pornchai Bumroongsri
Organization :
Mahidol University. Faculty of Engineering
Email :
pornchai.bum@mahidol.ac.th
keyword:
Gas leakage detection
LCSH:
Chemical processes
-- Safety measures
Abstract:
In recent years, the advancement of machine learning stands out as a significant technological
breakthrough. Numerous of machine learning algorithms have emerged to address complex
real-world challenges across various domains such as bioinformatics, medical data processing,
cybersecurity, and gas classification. Gas detection holds important role in ensuring health and
safety within the chemical industry. Accurate classification of gases is vital for determining
optimal treatment strategies, particularly in scenarios involving minor pipeline leakages.
Machine learning techniques offer a promising approach to gas classification, with
convolutional neural networks (CNNs) being among the most widely adopted algorithms.
CNNs are favored for their ability to autonomously identify salient features without human
intervention and their superior generalization capabilities. In this study, we propose a CNN
architecture specifically tailored for gas classification tasks. The model will be trained and
validated using diverse datasets encompassing five gas types: pure methane, pure ethylene, pure
CO, CO-ethylene mixture, and methane-ethylene mixture. The CNN architecture's performance
will be evaluated based on its accuracy, with the highest achieved accuracy serving as the
benchmark for identifying the most effective model.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-03-17
Issued:
2025-03-17
บทความ/Article
application/pdf
BibliograpyCitation :
In Thai Institute of Chemical Engineering and Applied Chemistry. The 33st Thai Institute of Chemical Engineering and Applied Chemistry International Conference (TIChE 2024) (pp.594-600). Bangkok : Thai Institute of Chemical Engineering And Applied Chemistry
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.023439 วินาที
Satrio Yudanto
| Title | Contributor | Type |
|---|---|---|
| Development of convolutional neural network for leaked gas detection and classification in chemical processes
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Satrio Yudanto;Poomiwat Phadungbut;Pornchai Bumroongsri | บทความ/Article |
Poomiwat Phadungbut
| Title | Contributor | Type |
|---|---|---|
| Artificial neural network approach for modeling natural gas storage capacity in slit-shaped activated carbon
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Atcharapun Phirom;Makkawan Burana-amnuay;Nikom Klomkliang;Poomiwat Phadungbut | บทความ/Article | |
| Hydrodynamic simulations of the photocatalyst suspension in an annulus photoreactor for the photoreduction of CO2
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thirawit Sornsuchat;Poomiwat Phadungbut;Pornchai Bumroongsri;Prowpatchara Chanthara;Napat Lertthanaphol;Sira Srinives | บทความ/Article | |
| A molecular model of HKUST-1 and graphene composite and its textural properties
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Woramate Lerdkamjornwat;Kasidi R. Na Nakorn;Sorayot Chinkanjanarot;Poomiwat Phadungbut | บทความ/Article | |
| Development of convolutional neural network for leaked gas detection and classification in chemical processes
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Satrio Yudanto;Poomiwat Phadungbut;Pornchai Bumroongsri | บทความ/Article | |
| Enhanced CO2 photoreduction in synthetic seawater using black TiO2 nanowires: Synthesis, characterization, and performance
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kongphoom Khumsupa;Poomipat Chotngamkham;Woranart Jonglertjunya;Poomiwat Phadungbut;Sira Srinives | บทความ/Article | |
| Synthesis and characterizations of triethanolamine-copper black titanium photocatalyst for carbon dioxide photoreduction
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Poomipat Chotngamkham;Kongphoom Khumsupa;Somchate Wasantwisut;Poomiwat Phadungbut;Woranart Jonglertjunya;Sira Srinives | บทความ/Article |
Pornchai Bumroongsri
| Title | Contributor | Type |
|---|---|---|
| Hydrodynamic simulations of the photocatalyst suspension in an annulus photoreactor for the photoreduction of CO2
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thirawit Sornsuchat;Poomiwat Phadungbut;Pornchai Bumroongsri;Prowpatchara Chanthara;Napat Lertthanaphol;Sira Srinives | บทความ/Article | |
| Economic model predictive control with applications to autoclave polymerization reactors
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Trittapon Boonchoosri;Rungroj Yadbantung;Pornchai Bumroongsri | บทความ/Article | |
| Bioethanol production from rice straw using simultaneous saccharification and fermentation process
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chitsanupong Uengudornbhakdee;Supatcha Suankhem;Pornchai Bumroongsri | บทความ/Article | |
| Development of convolutional neural network for leaked gas detection and classification in chemical processes
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Satrio Yudanto;Poomiwat Phadungbut;Pornchai Bumroongsri | บทความ/Article | |
| Development of composite scaffolds derived from palm kernel shell ash with curcumin encapsulation for tissue engineering applications
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Manutchai Eiamniyom;Pornchai Bumroongsri | บทความ/Article | |
| Development of computational fluid dynamics modeling of packed bed membrane reactor for dimethyl ether production from carbon dioxide
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kannika Lhongbangplee;Pornchai Bumroongsri | บทความ/Article | |
| Development of neural network architectures for prediction of energy consumption and carbon dioxide emission in natural gas separation process
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Bhiranat Pongsri;Pornchai Bumroongsri | บทความ/Article |