| 3/2016 - 6 |
ABC Algorithm based Fuzzy Modeling of Optical Glucose DetectionSARACOGLU, O. G.   , BAGIS, A. , KONAR, M. , TABARU, T. E. |
View the paper record and citations in  |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,221 KB) | Citation | Downloads: 1,061 | Views: 4,190 |
Author keywords
fuzzy systems, heuristic algorithms, evolutionary computation, optical sensors, computational modeling
References keywords
fuzzy(21), glucose(13), systems(12), biosensors(9), algorithm(9), measurement(8), modeling(7), control(7), vivo(6), system(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-08-31
Volume 16, Issue 3, Year 2016, On page(s): 37 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.03006
Web of Science Accession Number: 000384750000006
SCOPUS ID: 84991111440
Abstract
This paper presents a modeling approach based on the use of fuzzy reasoning mechanism to define a measured data set obtained from an optical sensing circuit. For this purpose, we implemented a simple but effective an in vitro optical sensor to measure glucose content of an aqueous solution. Measured data contain analog voltages representing the absorbance values of three wavelengths measured from an RGB LED in different glucose concentrations. To achieve a desired model performance, the parameters of the fuzzy models are optimized by using the artificial bee colony (ABC) algorithm. The modeling results presented in this paper indicate that the fuzzy model optimized by the algorithm provide a successful modeling performance having the minimum mean squared error (MSE) of 0.0013 which are in clearly good agreement with the measurements. |
| References | | | Cited By «-- Click to see who has cited this paper |
| [1] G. A. Bray, "Energy and fructose from beverages sweetened with sugar or high-fructose corn syrup pose a health risk for some people", Advances in Nutrition: An International Review Journal, 4(2), pp.220-225, 2013. [CrossRef] [Web of Science Times Cited 121] [SCOPUS Times Cited 155] [2] L. D. Mello, L. T. Kubota, "Review of the use of biosensors as analytical tools in the food and drink industries", Food Chemistry, 77(2), pp.237-256, 2002. [CrossRef] [Web of Science Times Cited 382] [SCOPUS Times Cited 436] [3] S. F. Clarke, J. R. Foster, "A history of blood glucose meters and their role in self-monitoring of diabetes mellitus", British Journal of Biomedical Science, 69(2), pp.83-93, 2012. [PubMed] [4] A. Arnoldi (Ed.). "Functional Foods, Cardiovascular Disease and Diabetes", pp.19-55, Elsevier, 2004. [5] D. A. Stuart, J. M. Yuen, N. Shah, O. Lyandres, C. R. Yonzon, M. R. Glucksberg, J. T. Walsh, R. P. Van Duyne, "In Vivo Glucose Measurement by Surface-Enhanced Raman Spectroscopy", Analytical Chemistry, 78(20), pp.7211-7215, 2006. [CrossRef] [Web of Science Times Cited 290] [SCOPUS Times Cited 325] [6] D. Chen, C. Wang, W. Chen, Y. Chen, J.X. Zhang, "PVDF-Nafion Nanomembranes Coated Microneedles for in Vivo Transcutaneous Implantable Glucose Sensing", Biosensors and Bioelectronics, 74, pp. 1047-1052, 2015. [CrossRef] [Web of Science Times Cited 76] [SCOPUS Times Cited 79] [7] L. B. Mohammadi, T. Klotzbuecher, S. Sigloch, K. Welzel, M. Goeddel, T.R. Pieber, L. Schaupp, L., "Clinical Performance of A Low Cost Near Infrared Sensor for Continuous Glucose Monitoring Applied with Subcutaneous Microdialysis", Biomedical Microdevices, 17(4), pp.1-10, 2015. [CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 9] [8] D. Li, Y. Sun, S. Yu, C. Sun, H. Yu, K. Xu, "A Single-Loop Fiber Attenuated Total Reflection Sensor Enhanced by Silver Nanoparticles for Continuous Glucose Monitoring". Sensors and Actuators B: Chemical, 220, pp.1033-1042, 2015. [CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 18] [9] P. U. Abel, T. von Woedtke, "Biosensors for In Vivo Glucose Measurement: Can We Cross The Experimental Stage", Biosensors and Bioelectronics, 17(11), pp. 1059-1070, 2002. [CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 81] [10] G. S. Wilson, R. Gifford, "Biosensors for Real-Time In Vivo Measurements", Biosensors and Bioelectronics, 20(12), pp. 2388-2403, 2005. [CrossRef] [Web of Science Times Cited 505] [SCOPUS Times Cited 587] [11] H. E. Koschwanez, W.M. Reichert, "In Vitro, In Vivo and Post Explantation Testing of Glucose-Detecting Biosensors: Current Methods and Recommendations", Biomaterials, 28(25), pp.3687-3703, 2007. [CrossRef] [Web of Science Times Cited 114] [SCOPUS Times Cited 140] [12] S. Yu, D. Li, H. Chong, C. Sun, H. Yu, K. Xu, "In Vitro Glucose Measurement Using Tunable Mid-Infrared Laser Spectroscopy Combined with Fiber-Optic Sensor", Biomedical Optics Express, 5(1), pp.275-286, 2014. [CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 36] [13] J. C. Pickup, F. Hussain, N. D. Evans, N. Sachedina, "In Vivo Glucose Monitoring: The Clinical Reality and The Promise", Biosensors and Bioelectronics, 20(10), pp. 1897-1902, 2005. [CrossRef] [Web of Science Times Cited 158] [SCOPUS Times Cited 195] [14] D. Li, J. Wu, P. Wu, Y. Lin, Y. Sun, R. Zhu, J. Yang, K. Xu, "Affinity based Glucose Measurement using Fiber Optic Surface Plasmon Resonance Sensor with Surface Modification by Borate Polymer", Sensors and Actuators B: Chemical, 213, pp. 295-304, 2015. [CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 43] [15] S. Singh, B.D. Gupta, "Fabrication and Characterization of A Surface Plasmon Resonance based Fiber Optic Sensor using Gel Entrapment Technique for The Detection of Low Glucose Concentration", Sensors and Actuators B: Chemical, 177, pp.589-595, 2013. [CrossRef] [Web of Science Times Cited 81] [SCOPUS Times Cited 88] [16] B. Nacht, C. Larndorfer, S. Sax, S.M. Borisov, M. Hajnsek, F. Sinner, E.J.W. List-Kratochvil, I. Klimant, "Integrated Catheter System for Continuous Glucose Measurement and Simultaneous Insulin Infusion", Biosensors and Bioelectronics, 64, pp.102-110, 2015. [CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 33] [17] P. Squara, M. Imhoff, M. Cecconi, "Review Article: Metrology in Medicine: From Measurements to Decision, with Specific Reference to Anesthesia and Intensive Care", Anesthesia and Analgesia, 120(1), pp.66-75, 2015. [CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 25] [18] T. J. Ross, "Fuzzy Logic with Engineering Applications", pp.476-536, McGrawHill, 1995. [19] H. T. Nguyen, M. Sugeno, "Fuzzy Systems: Modeling and Control", pp.63-90, Kluwer Academic Publishers, 1998. [20] A. Bagis, "Fuzzy Rule Base Design using Tabu Search Algorithm for Nonlinear System Modeling", ISA Transactions, 47(1), pp.32-44, 2008. [CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 52] [21] A. Bagis, M. Konar, "Comparison of Sugeno and Mamdani Fuzzy Models Optimized by Artificial Bee Colony Algorithm for Nonlinear System Modelling", Transactions of the Institute of Measurement and Control,38(5), pp.579-592, 2016. [CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 27] [22] M. Konar, A. Bagis, "Performance Comparison of Particle Optimization, Differential Evolution and Artificial Bee Colony Algorithms for Fuzzy Modelling of Nonlinear Systems (Accepted for publication)", Elektronika IR Elektrotechnika, 2016, to be published. [23] H. Du, N. Zhang, "Application of Evolving Takagi-Sugeno Fuzzy Model to Nonlinear System Identification", Applied Soft Computing, vol.8, pp.676-686, 2008. [CrossRef] [Web of Science Times Cited 96] [SCOPUS Times Cited 118] [24] A. Evsukoff, A. C. S. Branco, S. Galichet, "Structure Identification and Parameter Optimization for Non-Linear Fuzzy Modeling", Fuzzy Sets and Systems, vol.132, pp.173-188, 2002. [CrossRef] [Web of Science Times Cited 55] [SCOPUS Times Cited 64] [25] W. A. Farag, V. H. Quintana, G. L. Torres, "A Genetic based Neuro-Fuzzy Approach for Modeling and Control of Dynamical Systems", IEEE Trans. Neural Netw., 9(5), pp.756-767, 1998. [CrossRef] [Web of Science Times Cited 166] [SCOPUS Times Cited 201] [26] K. Guney, N. Sarikaya, "Comparison of Mamdani and Sugeno Fuzzy Inference System Models for Resonant Frequency Calculation of Rectangular Microstrip Antennas", Progress In Electromagnetics Research B, vol.12, pp.81-104, 2009. [CrossRef] [SCOPUS Times Cited 54] [27] S.-J. Kang, C.-H. Woo, H.-S. Hwang, K. B. Woo, "Evolutionary Design of Fuzzy Rule Base for Nonlinear Systems Modeling and Control", IEEE Transactions on Fuzzy Systems, (8)1, pp.37-45, 2000. [CrossRef] [Web of Science Times Cited 84] [SCOPUS Times Cited 103] [28] T. Takagi, M. Sugeno, "Fuzzy Identification of Systems and Its Applications to Modeling and Control", IEEE Transactions on Systems, Man, and Cybernetics, vol.15, pp.116-132, 1985. [CrossRef] [Web of Science Times Cited 13171] [SCOPUS Times Cited 16530] [29] R. M. Tong, "The Evaluation of Fuzzy Models Derived from Experimental Data", Fuzzy Sets and Systems, vol.4, pp.1-12, 1980. [CrossRef] [Web of Science Times Cited 161] [SCOPUS Times Cited 201] [30] L. Wang, R. Langari, "Complex Systems Modeling via Fuzzy Logic", IEEE Trans. Syst. Man Cybern-Part B: Cybern, 26(1), pp.100-106, 1996. [CrossRef] [Web of Science Times Cited 126] [SCOPUS Times Cited 162] [31] J. R. Jang , C. Sun, E. Mizutani, "Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence", pp.333-368, Prentice-Hall, Inc., 1997. [32] F. Kulic, D. Matic, B. Dumnic, V. Vasic, "Optimal Fuzzy Controller Tuned by TV-PSO for Induction Motor Speed Control", Advances in Electrical and Computer Engineering, 11(1), pp.49-54, 2011. [CrossRef] [Full Text] [Web of Science Times Cited 12] [SCOPUS Times Cited 11] [33] R. E. Precup, R.C. David, E.M. Petriu, S. Preitl, M.B. Radac, "Fuzzy Logic based Adaptive Gravitational Search Algorithm for Optimal Tuning of Fuzzy-Controlled Servo Systems", IET Control Theory Appl., 7(1), pp.99-107, 2013. [CrossRef] [Web of Science Times Cited 67] [SCOPUS Times Cited 76] [34] M. J. Gacto, M. Galende, R. Alcala, F. Herrera, "METSK-HDe: A Multiobjective Evolutionary Algorithm to Learn Accurate TSK-Fuzzy Systems in High-Dimensional and Large-Scale Regression Problems, Information Sciences, 276, pp. 63-79, 2014. [CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 59] [35] D. Karaboga, "An idea based on honey bee swarm for numerical optimization", Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005. [36] D. Karaboga, B. Akay, "A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm", Journal of Global Optimization, vol.39, pp.459-471, 2007. [CrossRef] [Web of Science Times Cited 4556] [SCOPUS Times Cited 5640] [37] D. Karaboga, B. Akay, "A Comparative Study of Artificial Bee Colony Algorithm", Applied Mathematics and Computation, vol.214, pp.108-132, 2009. [CrossRef] [Web of Science Times Cited 2127] [SCOPUS Times Cited 2720] [38] D. Karaboga, C. Ozturk, "A Novel Clustering Approach: Artificial Bee Colony (ABC) Algorithm", Applied Soft Computing, 11(1), pp.652-657, 2011. [CrossRef] [Web of Science Times Cited 703] [SCOPUS Times Cited 914] [39] A. Kulanthaisamy, R. Vairamani, N.K. Karunamurthi, C. Koodalsamy, "A Multi-Objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm", Advances in Electrical and Computer Engineering, 14(2), pp.117-128, 2014. [CrossRef] [Full Text] [Web of Science Times Cited 10] [SCOPUS Times Cited 12] [40] T. E. Tabaru, O. G. Saracoglu, E. Aslan, "Optical absorbance measurement of glucose in aqueous solution by using an RGB based simple spectrophotometer", Cankaya University 7th Engineering and Technology Symposium, May 15-16, 2014, pp. 219-223, Ankara, Turkey (in Turkish). Web of Science® Citations for all references: 23,393 TCR SCOPUS® Citations for all references: 29,194 TCR Web of Science® Average Citations per reference: 571 ACR SCOPUS® Average Citations per reference: 712 ACR TCR = Total Citations for References / ACR = Average Citations per Reference We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more Citations for references updated on 2023-05-28 02:27 in 182 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
Copyright ©2001-2023
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
