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Multi-Agent Approach for Monitoring and Control of Biotechnological Processes

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/></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>Multi-Agent Approach for Monitoring and Control of Biotechnological Processes</title> <meta name="description" content="Multi-Agent Approach for Monitoring and Control of Biotechnological Processes"> <meta name="keywords" content="Multi-agent approach, artificial intelligence, biotechnological processes, anaerobic biodegradation."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Multi-Agent Approach for Monitoring and Control of Biotechnological Processes"> <meta name="citation_author" content="Ivanka Valova"> <meta name="citation_publication_date" content="2024/08/13"> <meta name="citation_journal_title" content="International Journal of Electrical and Computer Engineering"> <meta name="citation_volume" content="18"> <meta name="citation_issue" 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href="https://publications.waset.org/search?q=Ivanka%20Valova">Ivanka Valova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This paper is aimed at using a multi-agent approach to monitor and diagnose a biotechnological system in order to validate certain control actions depending on the process development and the operating conditions. A multi-agent system is defined as a network of interacting software modules that collectively solve complex tasks. Remote monitoring and control of biotechnological processes is a necessity when automated and reliable systems operating with no interruption of certain activities are required. The advantage of our approach is in its flexibility, modularity and the possibility of improving by acquiring functionalities through the integration of artificial intelligence.</p> <iframe src="https://publications.waset.org/10013760.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Multi-agent%20approach" title="Multi-agent approach">Multi-agent approach</a>, <a href="https://publications.waset.org/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/search?q=biotechnological%20processes" title=" biotechnological processes"> biotechnological processes</a>, <a href="https://publications.waset.org/search?q=anaerobic%20biodegradation." title=" anaerobic biodegradation."> anaerobic biodegradation.</a> </p> <a href="https://publications.waset.org/10013760/multi-agent-approach-for-monitoring-and-control-of-biotechnological-processes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10013760/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10013760/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10013760/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10013760/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10013760/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10013760/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10013760/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10013760/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10013760/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10013760/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10013760.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">76</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] Gabriel Villarrubia, Juan F. De Paz, Daniel H. De La Iglesia and Javier Bajo, Combining Multi-Agent Systems and Wireless Sensor Networks for Monitoring Crop Irrigation, Sensors 2017, 17. <br>[2] Gast, M. 802.11 Wireless Networks: The Definitive Guide; O’Reilly: Sebastopol, CA, USA, 2005. <br>[3] Muhammad Javed, Shakeel Ahmad, Bashir Ahmad, Manzoor Elahi, Allah Nawaz and Ihsan Ullah. Multi-Agent Systems for Control and Monitoring of Dams. Computer Engineering and Intelligent Systems. ISSN 2222-1719 (Paper) ISSN 2222-2863 (Online) Vol 3, No.9, 2012 <br>[4] A. Rogers, D. D. Corkill and N. R. Jennings, Agent Technologies for Sensor Networks, in IEEE Intelligent Systems, vol. 24, no. 2, pp. 13-17, March-April 2009, doi: 10.1109/MIS.2009.22. <br>[5] Zimoch, E. (2004). Entwicklung und Einsatz eines intelligenten Agentensystems zur Optimierung der Injektion in den Speicherring der Synchrotronstrahlungsquelle DELTA (Doctoral dissertation, Dortmund, Technische Universität, Diss., 2003). <br>[6] A. Rogers, Agent Technologies for Sensor Networks, The Computer Journal, Volume 54, Issue 3, March 2011, Pages 307–308, https://doi.org/10.1093/comjnl/bxq062 <br>[7] Ettore Ferranti, Niki Trigoni, Practical Issues in Deploying Mobile Agents to Explore a Sensor-Instrumented Environment, The Computer Journal, Volume 54, Issue 3, March 2011, Pages 309–320, https://doi.org/10.1093/comjnl/bxq013 <br>[8] P. K. Birman; J. Chen; K. Hopkinson, B. Thomas, J. Thorp, R. V. Renesse and W. Vogels, Overcoming communications challenges in software for monitoring and controlling power systems, Proc. Of IEEE, vol. 93, p. 1028, 2005. <br>[9] Zhidan Liu, Jing Liu, Songping Zhang, Xin-Hui Xing, Zhiguo Su, Microbial fuel cell based biosensor for in situ monitoring of anaerobic digestion process, Bioresource Technology, Volume 102, Issue 22, 2011 <br>[10] Bond, D.R., Holmes, D.E., Tender, L.M., Lovley, D.R., 2002. Electrode-reducing microorganisms that harvest energy from marine sediments. Science 295, 483– 485. <br>[11] Liu, H., Ramnarayanan, R., Logan, B.E., 2004c. Production of electricity during wastewater treatment using a single chamber microbial fuel cell. Environ. Sci.Technol. 38, 2281–2285. <br>[12] Rabaey, K., Verstraete, W., 2005. Microbial fuel cells: novel technology for energyproduction. Trends Biotechnol. 23, 291–298. <br>[13] Virdis, B., Rabaey, K., Rozendal, R.A., Yuan, Z., Keller, J., 2010. Simultaneous nitrification, denitrification and carbon removal in microbial fuel cells. Water Res. 44, 2970–2980. <br>[14] Karube et al., 1977 Microbial electrode BOD sensors Biotechnol. Bioeng., 19 (1977), pp. 1535-1547 <br>[15] Lubenova V, Simeonov I, Queinnec I (2002) Two-step parameter and state estimation of the anaerobic digestion. Proc. 15th IFAC Word Congress, Barcelona, July 21-26. 2002 <br>[16] Valova I., J. Zaprianov. Multi-agent System for Control, Diagnostic and Monitoring. 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