A pool of experts to evaluate the evolution of biological processes in SBR plants

Davide Sottara, Gabriele Colombini, Luca Luccarini, Paola Mello

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In order to minimize the costs and maximize its efficiency, a Sequencing Batch Reactor requires continuous monitoring. The sensors it can be reasonably equipped with provide only indirect information on the state of the chemical reactions taking place in the tank, so the data must be analysed and interpreted. At present, no optimum, completely reliable procedure exists: instead, there exist several criteria which can be applied under different conditions. This paper shows that estimating the confidence in the quality of the response of a criterion can increase the robustness of a criterion. Then, interpreting the responses in terms of possibility distributions, the different answers can be merged, thus obtaining a more reliable overall estimate.

Original languageEnglish (US)
Title of host publicationHybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings
Pages368-375
Number of pages8
DOIs
StatePublished - Nov 9 2009
Externally publishedYes
Event4th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2009 - Salamanca, Spain
Duration: Jun 10 2009Jun 12 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5572 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2009
CountrySpain
CitySalamanca
Period6/10/096/12/09

Fingerprint

Batch reactors
Chemical reactions
Monitoring
Evaluate
Sensors
Costs
Possibility Distribution
Chemical Reaction
Reactor
Sequencing
Batch
Confidence
Maximise
Robustness
Minimise
Sensor
Estimate

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Sottara, D., Colombini, G., Luccarini, L., & Mello, P. (2009). A pool of experts to evaluate the evolution of biological processes in SBR plants. In Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings (pp. 368-375). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5572 LNAI). https://doi.org/10.1007/978-3-642-02319-4_44

A pool of experts to evaluate the evolution of biological processes in SBR plants. / Sottara, Davide; Colombini, Gabriele; Luccarini, Luca; Mello, Paola.

Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings. 2009. p. 368-375 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5572 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sottara, D, Colombini, G, Luccarini, L & Mello, P 2009, A pool of experts to evaluate the evolution of biological processes in SBR plants. in Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5572 LNAI, pp. 368-375, 4th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2009, Salamanca, Spain, 6/10/09. https://doi.org/10.1007/978-3-642-02319-4_44
Sottara D, Colombini G, Luccarini L, Mello P. A pool of experts to evaluate the evolution of biological processes in SBR plants. In Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings. 2009. p. 368-375. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02319-4_44
Sottara, Davide ; Colombini, Gabriele ; Luccarini, Luca ; Mello, Paola. / A pool of experts to evaluate the evolution of biological processes in SBR plants. Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings. 2009. pp. 368-375 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{71290f3e897a4832bc915c5da4179f86,
title = "A pool of experts to evaluate the evolution of biological processes in SBR plants",
abstract = "In order to minimize the costs and maximize its efficiency, a Sequencing Batch Reactor requires continuous monitoring. The sensors it can be reasonably equipped with provide only indirect information on the state of the chemical reactions taking place in the tank, so the data must be analysed and interpreted. At present, no optimum, completely reliable procedure exists: instead, there exist several criteria which can be applied under different conditions. This paper shows that estimating the confidence in the quality of the response of a criterion can increase the robustness of a criterion. Then, interpreting the responses in terms of possibility distributions, the different answers can be merged, thus obtaining a more reliable overall estimate.",
author = "Davide Sottara and Gabriele Colombini and Luca Luccarini and Paola Mello",
year = "2009",
month = "11",
day = "9",
doi = "10.1007/978-3-642-02319-4_44",
language = "English (US)",
isbn = "3642023185",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "368--375",
booktitle = "Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings",

}

TY - GEN

T1 - A pool of experts to evaluate the evolution of biological processes in SBR plants

AU - Sottara, Davide

AU - Colombini, Gabriele

AU - Luccarini, Luca

AU - Mello, Paola

PY - 2009/11/9

Y1 - 2009/11/9

N2 - In order to minimize the costs and maximize its efficiency, a Sequencing Batch Reactor requires continuous monitoring. The sensors it can be reasonably equipped with provide only indirect information on the state of the chemical reactions taking place in the tank, so the data must be analysed and interpreted. At present, no optimum, completely reliable procedure exists: instead, there exist several criteria which can be applied under different conditions. This paper shows that estimating the confidence in the quality of the response of a criterion can increase the robustness of a criterion. Then, interpreting the responses in terms of possibility distributions, the different answers can be merged, thus obtaining a more reliable overall estimate.

AB - In order to minimize the costs and maximize its efficiency, a Sequencing Batch Reactor requires continuous monitoring. The sensors it can be reasonably equipped with provide only indirect information on the state of the chemical reactions taking place in the tank, so the data must be analysed and interpreted. At present, no optimum, completely reliable procedure exists: instead, there exist several criteria which can be applied under different conditions. This paper shows that estimating the confidence in the quality of the response of a criterion can increase the robustness of a criterion. Then, interpreting the responses in terms of possibility distributions, the different answers can be merged, thus obtaining a more reliable overall estimate.

UR - http://www.scopus.com/inward/record.url?scp=70350675092&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350675092&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-02319-4_44

DO - 10.1007/978-3-642-02319-4_44

M3 - Conference contribution

SN - 3642023185

SN - 9783642023187

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 368

EP - 375

BT - Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings

ER -