International Journal of Computer Science & Network Security

국제컴퓨터통신보호논문지학회 (International Journal of Computer Science & Network Security)
권호 표지
DOI QR코드

DOI QR Code

Applying Artificial Intelligence Based on Fuzzy Logic for Improved Cognitive Wireless Data Transmission: Models and Techniques

  • 투고 : 2023.12.05
  • 발행 : 2023.12.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant.

키워드

참고문헌

  1. Ahmad AlRababah, "Implementation of Software Systems Packages in Visual Internal Structures" , Journal of Theoretical and Applied Information Technology, Volume 95, Issue 19 (2017), Pages: 5237-5244.
  2. Chintalapati, Shireesha, and M.V. Raghunadh. "Automated attendance management system based on face recognition algorithms." International Conference on Computational Intelligence and Computing Research. IEEE, 2015.
  3. Ahmad AlRababah "Implementations of Hybrid FPGA Microwave Format Extension as a Control Device", IJCSNS International Journal of Computer Science and Network Security, VOL.18 No.11, November 2018.
  4. Jha, Abhishek. "Classroom attendance system using facial recognition system." The International Journal of Mathematics, Science, Technology and Management, 2014.
  5. Ahmad AlRababah "Watermarking implementation on digital images and electronic signatures", International Journal of Advanced and Applied Sciences, Volume 4, Issue 10 (October 2017), Pages: 160-164. https://doi.org/10.21833/ijaas.2017.010.022
  6. Riya, G. Lakshmi, et al. "Implementation of attendance management system using SMART-FR." International Journal of Advance Research Computer and Communication Engineering, 2015.
  7. Ahmad AlRababah. "A New Model of Information Systems Efficiency based on Key Performance Indicator (KPI)" (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 3, 2017.
  8. Akash G, Rupali B and Shobhana S. "SDLC (Software Development Life Cycle)". Published 2014. https://www.slideshare.net/akash250690/sdlcmodels-38873234.
  9. A. A. AlRababah, "Neural networks precision in technical vision sys-tems," IJCSNS, vol. 20, no. 3, p. 29, 2020.
  10. K. Simonyan and A. Zisserman, "Very deep convolutional networks for large-scale image recognition," arXiv preprint arXiv:1409.1556, 2014.
  11. M. Yousef, K. F. Hussain, and U. S. Mohammed, "Accurate, data-efficient, unconstrained text recognition with convolutional neural net-works," Pattern Recognition, vol. 108, p. 107482, 2020.
  12. Israa Al-Barazanchi, Aparna Murthy, Ahmad Abdul Qadir Al Rababah, Ghadeer Khader, Haider Rasheed Abdulshaheed, Hafiz Tayyab Rauf, Elika Daghighi, Yitong Niu. "Blockchain Technology - Based Solutions for IOT Security" IJCSM : Iraqi Journal for Computer Science and Mathematics, vol. 3, no. 1, Jan. 2022
  13. L. Biewald, "Experiment tracking with weights and biases," 2020, software available from wandb.com. [Online]. Available: https://www.wandb.com
  14. Ahmad AlRababah "Assurance Quality and Efficiency in Corporate Information Systems", IJCSNS International Journal of Computer Science and Network Security, VOL.19 No.4, April 2019.
  15. T. Jayalakshmi and A. Santhakumaran, "Statistical normalization and back propagation for classification," International Journal of Computer Theory and Engineering, vol. 3, no. 1, pp. 1793- 8201, 2011.
  16. Ahmad AlRababah "Problems Solving of Cell Subscribers based on Expert Systems Neural Networks" International Journal of Advanced Computer Science and Applications (IJACSA), 10(12), 2019.
  17. K. He, X. Zhang, S. Ren, and J. Sun, "Deep residual learning for image recognition," in Proceedings of the IEEE conference on computer vision and pattern recognition, 2016, pp. 770-778.
  18. 14. S. Hochreiter and J. Schmidhuber, "Long shortterm memory," Neural computation, vol. 9, no. 8, pp. 1735-1780, 1997. https://doi.org/10.1162/neco.1997.9.8.1735
  19. Ahmad AlRababah , "DIGITAL IMAGE ENCRYPTION IMPLEMENTATIONS BASED ON AES ALGORITHM", VAWKUM Transactions on Computer Sciences, Volume 13, Number 1, May-June , 2017, Pages: 1-9. https://doi.org/10.21015/vtcs.v13i1.453
  20. Pedrycz, Witold. Granular computing: analysis and design of intelligent systems. CRC press. Published 2018.
  21. Reema Mrayyan, Ahmad AlRababah, "Debugging of Parallel Programs using Distributed Cooperating Components". IJCSNS International Journal of Computer Science and Network Security, VOL.21 No.12, December 2021.
  22. Antoniou, Andreas. Digital filters: analysis, design, and signal processing applications. McGraw-Hill Education. Published 2018
  23. Ahmad AlRababah, "Neural Networks Precision in Technical Vision Systems" IJCSNS International Journal of Computer Science and Network Security, VOL.20 No.3, March 2020.
  24. Atakishiyev, Shahin, et al. "A multi-component framework for the analysis and design of explainable artificial intelligence." Published 2020.
  25. 21. Vishal, "Python SQLite tutorial using sqlite3" Updated in 2021.
  26. Ahmad AlRababah, Ahmad Alzahrani. "Software Maintenance Model through the Development Distinct Stages", IJCSNS International Journal of Computer Science and Network Security, VOL.19 No.2, February 2019.
  27. Thomas Hamilton, "What is Software Testing? Definition, Basics & Types in Software Engineering". Published 2021.
  28. Lalbihari Barik, Ahmad AbdulQadir AlRababah, Yasser Difulah Al-Otaibi. "Enhancing Educational Data Mining based ICT Competency among eLearning Tutors using Statistical Classifier" International Journal of Advanced Computer Science and Applications (IJACSA), Volume 11 Issue 3 March 2020.
  29. Ahmad AlRababah, Bandar Ali Alghamdi. "Information Protection Method in Distributed Computer Networks Based on Routing Algorithms" IJCSNS International Journal of Computer Science and Network Security, VOL.19 No.2, February 2019.
  30. Ahmad AlRababah. "Data Flows Management and Control in Computer Networks", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 9, No. 11, 2018.
  31. Ahmad AlRababah. "On the associative memory utilization in English- Arabic natural language processing", International Journal of Advanced and Applied Sciences, Volume 4, Issue 8 (August 2017), Pages: 14-18. Top of Form  https://doi.org/10.21833/ijaas.2017.08.003