Autors: Marinov, M. B., Nikolov, N. L., Dimitrov S. V., Todorov, T. S., Stoyanova, Y. P., Nikolov, G. T. Title: Linear Interval Approximation for Smart Sensors and IoT Devices Keywords: Approximation; IoT; Linearization techniques; Piecewise appr Abstract: In this work, we introduce and use an innovative approach for adaptive piecewise linear interval approximation of sensor characteristics, which are differentiable functions. The aim is to obtain a discreet type of inverse sensor characteristic, with a predefined maximum approximation error, with minimization of the number of points defining the characteristic, which in turn is related to the possibilities for using microcontrollers with limited energy and memory resources. In this context, the results from the study indicate that to overcome the problems arising from the resource constraints of smart devices, appropriate “lightweight” algorithms are needed that allow efficient connectivity and intelligent management of the measurement processes. References Issue
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Цитирания (Citation/s):
1. Mohana, S.D., Shiva Prakash, S.P., Krinkin, K. Service Oriented R-ANN Knowledge Model for Social Internet of Things. Big Data and Cognitive Computing, Open Access, Volume 6, Issue 1, March 2022, Article number 32. Source type: Journal, ISSN 25042289, DOI 10.3390/bdcc6010032 - 2022 - в издания, индексирани в Scopus или Web of Science
2. Durana, P., Valaskova, K. The Nexus between Smart Sensors and the Bankruptcy Protection of SMEs. Sensors, Open Access, Volume 22, Issue 22, November 2022, Article number 8671, ISSN 14248220, DOI 10.3390/s22228671. - 2022 - в издания, индексирани в Scopus или Web of Science
3. Barzegar, M., Tadich, P., Sainsbury, B.-A., Blanks, S., Timms, W. Calibration approach to quantify nonlinearity of MEMS pore pressure sensors using optimal interpolation. Measurement Science and Technology, Volume 34, Issue 2, February, Article number 025111, ISSN 09570233, DOI 10.1088/1361-6501/aca0b3. - 2023 - в издания, индексирани в Scopus или Web of Science
4. Rucki, M. Recent Development of Air Gauging in Industry 4.0 Context. Sensors, Open Access, Volume 23, Issue 4, February 2023, Article number 2122, ISSN 14248220, DOI 10.3390/s23042122. - 2023 - в издания, индексирани в Scopus или Web of Science
5. Nedyalkov, I. Benefits of Using Network Modeling Platforms When Studying IP Networks and Traffic Characterization. Computers, Open Access, Volume 12, Issue 2, February 2023, Article number 41. ISSN 2073431X, DOI 10.3390/computers12020041. - 2023 - в издания, индексирани в Scopus или Web of Science
6. Nedyalkov, I., & Georgiev, G. (2023). Advantages of using IP network modeling platforms in the study of power electronic devices doi:10.1007/978-981-19-7753-4_54 - 2023 - в издания, индексирани в Scopus или Web of Science
7. Nedyalkov, I. (2023). Application of GNS3 to study the security of data exchange between power electronic devices and control center. Computers, 12(5) doi:10.3390/computers12050101 - 2023 - в издания, индексирани в Scopus или Web of Science
8. Alshahrani, H., Khan, A., Rizwan, M., Reshan, M. S. A., Sulaiman, A., & Shaikh, A. (2023). Intrusion detection framework for industrial internet of things using software defined network. Sustainability (Switzerland), 15(11) doi:10.3390/su15119001 - 2023 - в издания, индексирани в Scopus или Web of Science
9. Barzegar, M., Blanks, S., Gharehdash, S., Timms, W. Development of IOT-based low-cost MEMS pressure sensor for groundwater level monitoring. Measurement Science and Technology, Open Access, Volume 34, Issue 11, November 2023, Article number 115103, ISSN 09570233, DOI 10.1088/1361-6501/ace78f - 2023 - в издания, индексирани в Scopus или Web of Science
10. Zhang, W.-H., Dai, L., Chen, W., Sun, A., Zhu, W.-L., Ju, B.-F. Novel Information-Driven Smoothing Spline Linearization Method for High-Precision Displacement Sensors Based on Information Criterions. Sensors, Volume 23, Issue 22, November 2023, Article number 9268, ISSN 14248220, DOI 10.3390/s23229268 - 2023 - в издания, индексирани в Scopus или Web of Science
11. Tomcala, A., Bencel, R. Increasing cyclists safety using intelligent Bicycle Light Based On Artificial Intelligence. ICETA 2023 - 21st Year of International Conference on Emerging eLearning Technologies and Applications, Proceedings, pp. 525-530. ISBN 979-835037069-0, DOI 10.1109/ICETA61311.2023.10343951 - 2023 - в издания, индексирани в Scopus или Web of Science
12. Nedyalkov, I. Study the Level of Network Security and Penetration Tests on Power Electronic Device. Computers, Open Access, Volume 13, Issue 3, March 2024, Article number 81, ISSN 2073431X, DOI 10.3390/computers13030081 - 2024 - в издания, индексирани в Scopus или Web of Science
13. Nedyalkov, I., Georgiev, G. Application of IP Network Modeling Platforms for Cyber-Attack Research. Lecture Notes in Networks and Systems, Volume 868, Pages 229 – 245, 2024, ISSN 23673370, ISBN 978-981999036-8, DOI 10.1007/978-981-99-9037-5_18 - 2024 - в издания, индексирани в Scopus или Web of Science
14. Song, J., Lee, B. Optimal Piecewise Polynomial Approximation for Minimum Computing Cost by Using Constrained Least Squares. Sensors, Open Access, Volume 24, Issue 12, June 2024, Article number 3991, ISSN 14248220, DOI 10.3390/s24123991 - 2024 - в издания, индексирани в Scopus или Web of Science
Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science