| id |
caadria2021_382 |
| authors |
Heidari, Farahbod, Saleh Tabari, Mohammad Hassan, Mahdavinejad, Mohammadjavad, Werner, Liss C. and Roohabadi, Maryam |
| year |
2021 |
| title |
Bio-Energy Management from Micro-Algae Bio-Computational Based Reactor |
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 401-410 |
| doi |
https://doi.org/10.52842/conf.caadria.2021.1.401
|
| summary |
Microalgae are a sustainable source of unique properties with potential for various applications. Biofuel production has led to the use of them as bioreactors on an architectural scale. Most of these efforts cannot manage the output due to the lack of intelligent control and monitoring over environmental micro-scale growth. This research presents the possibility of control and monitoring over the bio-energy retrieved through micro-organisms in bio-reactors, specifically the growth environments computation. To achieve monitoring, three dimensions of the medium culture captured by cameras, and with the advantage of image processing, the picture frames pixel values measured. In this process, we use the Python OpenCV Library as an image processing reference. Finally, a specifically developed algorithm analyses the calculated 3d-matrix. By changing the environmental parameters, control happens by directly recognizing changes in density and outputs. This researchs computational process has proposed a novel approach for controlling particle-based environments to reach the desired functions of microorganisms, This approach can use in a wide range of cases as a method. |
| keywords |
Bio-Computation; Monitoring; Image Processing; Pattern Recognition; Multi-Functional Bio-Materials |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (4,091,071 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:49 |
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