Keywords and phrases: sensors, monitoring, robotic technology, statistics analysis, neutrosophic method, flexibility, robotic data.
Received: September 28, 2023; Accepted: November 29, 2023; Published: January 21, 2023
How to cite this article: Usama Afzal, Muhammad Aslam, Muhammad Ahmed Shehzad and Florentin Smarandache, Analyzing imprecise data from wireless temperature sensor, Advances and Applications in Statistics 91(1) (2024), 111-123. http://dx.doi.org/10.17654/0972361724009
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References: [1] U. Afzal, F. Afzal, K. Maryam and M. Aslam, Fabrication of flexible temperature sensors to explore indeterministic data analysis for robots as an application of Internet of Things, RSC Advances 12 (2022), 17138-17145. doi: 10.1039/D2RA03015B. [2] U. Afzal, J. Afzal and M. Aslam, Analyzing the imprecise capacitance and resistance data of humidity sensors, Sensors and Actuators B: Chemical 367 (2022), 132092. [3] U. Afzal, N. Ahmad, Q. Zafar and M. Aslam, Fabrication of a surface type humidity sensor based on methyl green thin film, with the analysis of capacitance and resistance through neutrosophic statistics, RSC Advances 11(61) (2021), 38674-38682. [4] U. Afzal, H. Alrweili, N. Ahmad and M. Aslam, Neutrosophic statistical analysis of resistance depending on the temperature variance of conducting material, Scientific Reports 11(1) (2021), 1-6. [5] U. Afzal, M. Aslam, F. Afzal, K. Maryam, N. Ahmad, Q. Zafar and Z. Farooq, Fabrication of a graphene-based sensor to detect the humidity and the temperature of a metal body with imprecise data analysis, RSC Advances 12(33) (2022), 21297-21308. [6] Usama Afzal, Muhammad Aslam and Ali Hussein AL-Marshadi, Analyzing imprecise graphene foam resistance data, Materials Research Express 9(4) (2022), 045007. [7] A. AlAita and M. Aslam, Analysis of covariance under neutrosophic statistics, J. Stat. Comput. Simul. 93 (2023), 397-415. [8] M. Aslam, Enhanced statistical tests under indeterminacy with application to earth speed data, Earth Science Informatics 14 (2021a), 1261-1267. [9] M. Aslam, A study on skewness and kurtosis estimators of wind speed distribution under indeterminacy, Theoretical and Applied Climatology 143(3) (2021b), 1227-1234. [10] M. Aslam and M. Albassam, Forecasting of wind speed using an interval-based least square method, Frontiers in Energy Research 10 (2022), 469. [11] J. Chen, J. Ye and S. Du, Scale effect and anisotropy analyzed for neutrosophic numbers of rock joint roughness coefficient based on neutrosophic statistics, Symmetry 9(10) (2017), 208. [12] J. Chen, J. Ye, S. Du and R. Yong, Expressions of rock joint roughness coefficient using neutrosophic interval statistical numbers, Symmetry 9(7) (2017), 123. [13] M. M. de Graaf, S. Ben Allouch and J. A. Van Dijk, Why would I use this in my home? A model of domestic social robot acceptance, Human-Computer Interaction 34(2) (2019), 115-173. [14] R. Etemad-Sajadi, A. Soussan and T. Schöpfer, How ethical issues raised by human-robot interaction can impact the intention to use the robot? International Journal of Social Robotics 14 (2022), 1103-1115. [15] Z. Gong, S. Jiang, Q. Meng, Y. Ye, P. Li, F. Xie and X. Liu, SHUYU robot: an automatic rapid temperature screening system, Chinese Journal of Mechanical Engineering 33(1) (2020), 1-4. [16] G. Gu and G. Peng, The survey of GSM wireless communication system, Paper Presented at the 2010 International Conference on Computer and Information Application, 2010. [17] A. H. Hadi Hosseinabadi and S. E. Salcudean, Force sensing in robot-assisted keyhole endoscopy: a systematic survey, The International Journal of Robotics Research 41(2) (2022), 136-162. [18] M. D. Husain, S. Naqvi, O. Atalay, S. T. A. Hamdani and R. Kennon, Measuring human body temperature through temperature sensing fabric, AATCC Journal of Research 3(4) (2016), 1-12. [19] D.-K. Ko, K.-W. Lee, D. H. Lee and S.-C. Lim, Vision-based interaction force estimation for robot grip motion without tactile/force sensor, Expert Systems with Applications 211 (2022), 118441. [20] Z. Liu, C. Li, X. Zhang, B. Zhou, S. Wen, Y. Zhou and F. Zhou, Biodegradable polyurethane fiber-based strain sensor with a broad sensing range and high sensitivity for human motion monitoring, ACS Sustainable Chemistry and Engineering 10(27) (2022), 8788-8798. [21] F. Smarandache, A unifying field in logics: neutrosophic logic, Neutrosophy, Neutrosophic Set, Neutrosophic Probability and Statistics, Infinite Study, 2005. [22] F. Smarandache, Introduction to neutrosophic statistics, Infinite Study, Romania-Educational Publisher, Columbus, OH, USA, 2014. [23] Usama Afzal, M. Aslam, Kanza Maryam, Ali Hussein AL-Marshadi and Fatima Afzal, Fabrication and characterization of a highly sensitive and flexible tactile sensor based on Indium Zinc Oxide (IZO) with imprecise data analysis, ASC Omega 7 (2022), 32569-32576. doi: https://doi.org/10.1021/acsomega.2c04156. [24] J. Ye, Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses, Artificial Intelligence in Medicine 63(3) (2015), 171-179. [25] M. Zukowski, K. Matus, E. Pawluczuk, M. Kondratiuk and L. Ambroziak, Patients temperature measurement system for medical robotic assistant, Paper Presented at the AIP Conference Proceedings, 2018.
|