Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 75 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,485,500 unique visits
989,818 downloads
Since November 1, 2009



Robots online now
bingbot
SemanticScholar


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Application of the Voltage Control Technique and MPPT of Stand-alone PV System with Storage, HIVZIEFENDIC, J., VUIC, L., LALE, S., SARIC, M.
Issue 1/2022

AbstractPlus






LATEST NEWS

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

Read More »


    
 

  3/2016 - 6

ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection

SARACOGLU, O. G. See more information about SARACOGLU, O. G. on SCOPUS See more information about SARACOGLU, O. G. on IEEExplore See more information about SARACOGLU, O. G. on Web of Science, BAGIS, A. See more information about  BAGIS, A. on SCOPUS See more information about  BAGIS, A. on SCOPUS See more information about BAGIS, A. on Web of Science, KONAR, M. See more information about  KONAR, M. on SCOPUS See more information about  KONAR, M. on SCOPUS See more information about KONAR, M. on Web of Science, TABARU, T. E. See more information about TABARU, T. E. on SCOPUS See more information about TABARU, T. E. on SCOPUS See more information about TABARU, T. E. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,221 KB) | Citation | Downloads: 1,141 | Views: 4,730

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
Quick view
Full text preview
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 128]


[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 394]


[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 294]


[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 81]


[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 7]


[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 17]


[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]


[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 513]


[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 116]


[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 32]


[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 159]


[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 44]


[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 86]


[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 32]


[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 26]


[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 47]


[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 25]


[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 100]


[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]


[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 168]


[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]


[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]


[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 13576]


[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]


[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 127]


[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]


[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]


[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 61]


[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 4884]


[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 2249]


[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 724]


[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 11]


[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).



References Weight

Web of Science® Citations for all references: 24,341 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 594 ACR
SCOPUS® Average Citations per reference: 0

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 2024-03-17 16:22 in 187 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 ©2001-2024
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.




Website loading speed and performance optimization powered by: 


DNS Made Easy