Modelling The Effect Size of Microbial Fuel Cells Using Bernstein Polynomial Approach via Iterative Method
Microbial fuel cells are one of the most important issues in today's science. The studies in the literature on the subject are very limited. Nowadays, research on renewable energy sources brings scientists to the point of obtaining renewable energy sources from microbial fuel cells. In this stu...
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Sakarya University
2021-02-01
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| Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/846212 |
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| author | Mehmet Gürcan Yunus Güral Nurhan Halisdemir |
| author_facet | Mehmet Gürcan Yunus Güral Nurhan Halisdemir |
| author_sort | Mehmet Gürcan |
| collection | DOAJ |
| description | Microbial fuel cells are one of the most important issues in today's science. The studies in the literature on the subject are very limited. Nowadays, research on renewable energy sources brings scientists to the point of obtaining renewable energy sources from microbial fuel cells. In this study, we designed a battery using a microbial fuel cell. The four independent variables taken into account in the experiment are open-circuit voltage, short circuit current, measured voltage when loaded, the current measured when loaded, and dependent variable effect size. The numerical values of the effect size were obtained by using independent variables. Then, the obtained values from the effect size were modeled using Bernstein polynomial. Using the iterative calculations belonging to the Bernstein polynomial in calculations, the error of the model has been reduced to a minimum and thus the estimation model used has been made statistically significant for the effect size. |
| format | Article |
| id | doaj-art-1b03b2f02c3d4e6f99d9a72458a2c3b8 |
| institution | OA Journals |
| issn | 2147-835X |
| language | English |
| publishDate | 2021-02-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| spelling | doaj-art-1b03b2f02c3d4e6f99d9a72458a2c3b82025-08-20T02:31:40ZengSakarya UniversitySakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi2147-835X2021-02-01251222910.16984/saufenbilder.64159128Modelling The Effect Size of Microbial Fuel Cells Using Bernstein Polynomial Approach via Iterative MethodMehmet Gürcan0https://orcid.org/0000-0002-3641-8113Yunus Güral1https://orcid.org/0000-0002-0572-453XNurhan Halisdemir2https://orcid.org/0000-0003-2151-7917FIRAT ÜNİVERSİTESİFIRAT ÜNİVERSİTESİFIRAT ÜNİVERSİTESİMicrobial fuel cells are one of the most important issues in today's science. The studies in the literature on the subject are very limited. Nowadays, research on renewable energy sources brings scientists to the point of obtaining renewable energy sources from microbial fuel cells. In this study, we designed a battery using a microbial fuel cell. The four independent variables taken into account in the experiment are open-circuit voltage, short circuit current, measured voltage when loaded, the current measured when loaded, and dependent variable effect size. The numerical values of the effect size were obtained by using independent variables. Then, the obtained values from the effect size were modeled using Bernstein polynomial. Using the iterative calculations belonging to the Bernstein polynomial in calculations, the error of the model has been reduced to a minimum and thus the estimation model used has been made statistically significant for the effect size.https://dergipark.org.tr/tr/download/article-file/846212microbial fuel cellbiosensororganic materialsrenewable energybernstein polynom |
| spellingShingle | Mehmet Gürcan Yunus Güral Nurhan Halisdemir Modelling The Effect Size of Microbial Fuel Cells Using Bernstein Polynomial Approach via Iterative Method Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi microbial fuel cell biosensor organic materials renewable energy bernstein polynom |
| title | Modelling The Effect Size of Microbial Fuel Cells Using Bernstein Polynomial Approach via Iterative Method |
| title_full | Modelling The Effect Size of Microbial Fuel Cells Using Bernstein Polynomial Approach via Iterative Method |
| title_fullStr | Modelling The Effect Size of Microbial Fuel Cells Using Bernstein Polynomial Approach via Iterative Method |
| title_full_unstemmed | Modelling The Effect Size of Microbial Fuel Cells Using Bernstein Polynomial Approach via Iterative Method |
| title_short | Modelling The Effect Size of Microbial Fuel Cells Using Bernstein Polynomial Approach via Iterative Method |
| title_sort | modelling the effect size of microbial fuel cells using bernstein polynomial approach via iterative method |
| topic | microbial fuel cell biosensor organic materials renewable energy bernstein polynom |
| url | https://dergipark.org.tr/tr/download/article-file/846212 |
| work_keys_str_mv | AT mehmetgurcan modellingtheeffectsizeofmicrobialfuelcellsusingbernsteinpolynomialapproachviaiterativemethod AT yunusgural modellingtheeffectsizeofmicrobialfuelcellsusingbernsteinpolynomialapproachviaiterativemethod AT nurhanhalisdemir modellingtheeffectsizeofmicrobialfuelcellsusingbernsteinpolynomialapproachviaiterativemethod |