International Journal of Computer Science & Network Security

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

DOI QR Code

Using Hierarchical Performance Modeling to Determine Bottleneck in Pattern Recognition in a Radar System

  • Alsheikhy, Ahmed (Electrical Engineering Department, College of Engineering, Northern Border University) ;
  • Almutiry, Muhannad (Electrical Engineering Department, College of Engineering, Northern Border University)
  • Received : 2022.03.05
  • Published : 2022.03.30
Download PDF
⟨ Previous Next ⟩

Abstract

The radar tomographic imaging is based on the Radar Cross-Section "RCS" of the materials of a shape under examination and investigation. The RCS varies as the conductivity and permittivity of a target, where the target has a different material profile than other background objects in a scene. In this research paper, we use Hierarchical Performance Modeling "HPM" and a framework developed earlier to determine/spot bottleneck(s) for pattern recognition of materials using a combination of the Single Layer Perceptron (SLP) technique and tomographic images in radar systems. HPM provides mathematical equations which create Objective Functions "OFs" to find an average performance metric such as throughput or response time. Herein, response time is used as the performance metric and during the estimation of it, bottlenecks are found with the help of OFs. The obtained results indicate that processing images consumes around 90% of the execution time.

Keywords

Acknowledgement

The authors gratefully acknowledge the approval and the support of this research study by the grant no. 1115-ENG-2017-1-8-F from the Deanship of Scientific Research at Northern Border University, Arar, K.S.A.

References

  1. M. Almutiry and A. Alsheikhy, "A Novel Method for Pattern Recognition based on Radar Tomographic Images", IJCSNS International Journal of Computer Science and Network Security, Vol. 21, No. 10, pp. 1-12, Oct. 2021.
  2. A. Alsheikhy, "Estimating End-to-End Delay on a Networking Environment using a Developed Framework", International journal on Information Technologies and Security (IJITS), "Officially Accepted".
  3. A. Jastrzebska, "Time series Classification Through Visual Pattern Recognition", Journal of King Saud University-Computer and Information Sciences, pp. 1-9, Dec. 2019.
  4. B. George, A. B. Obot and K. M. Udofia, "Modeling and Performance Evaluation of Ground based Monostatic Radar Surveillance System", Communications on Applied Electronics (CAE), Vol. 7, No. 28, pp. 17-21, May 2019, New York, USA. https://doi.org/10.5120/cae2019652822
  5. E. D. Pedro, T. M. F. Alves and A. V. T. Cartaxo, "Performance Evaluation of Wavelength Division Multiplexing Photonic Analogue-to-Digital Converters for High-Resolution Radar Systems", Optics and Photonics Journal, Vol. 9, pp. 219-243, 2019. https://doi.org/10.4236/opj.2019.912018
  6. A. Alsheikhy and M. Almutiry, "Performance Evaluation in a Radar System", IJCSNS International Journal of Computer Science and Network Security, Vol. 18, NO. 11, pp. 116-126, Nov. 2018.
  7. D. Nagarajan and G. Kavitha, "Pattern Recognition Using Neural Network Time Series", International Journal of Engineering and Tecknology, Vol. 7, No. 4, pp. 3357-3359, 2018.
  8. W. He, F. Ma and X. Liu, "A Recognition Approach of Radar Blips Based on Improved Fuzzy C Means", EURASIA Journal of Mathematics Science and Technology Education, Vol. 13, No. 8, pp. 6006-6017, 2017.
  9. P. A. Waghmare and J. V. Megha, "Efficient Pattern Recognition in Time Series Data," International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, pp. 436-441, 2018.
  10. M. Almutiry, L. Lo Monte, and M. C. Wicks, "Extraction of Weak Scatterer Features Based on Multipath Exploitation in Radar Imagery," International Journal of Antennas and Propagation, Vol. 2017. Article ID 5847872, pp. 1-13, 2017.
  11. Y. Li, X. Li, H. Wang, B. Deng and Y. Qin, "Performance Evaluation of Target Detection with a Near-Space Vehicle-Borne Radar in Blackout Condition, Journal of Sensors, Vol. 16, No. 64, pp. 1-13, 2016. https://doi.org/10.1109/JSEN.2015.2493739
  12. A. Kumar and A. Mudaliar, "Performance Evaluation of Radar Systems", International Journal of Innovative Research in Computer and Communication Engineering, Vol. 3, Issue, 7, pp. 6371- 6377, July 2015. https://doi.org/10.15680/ijircce.2015.0307003
  13. A. Alsheikhy, S. Han and R. Ammar, "Hierarchical Performance Modeling of Embedded Systems", Computers and Communication (ISCC), 2015 20th IEEE Symposium on Computers and Communications, pp. 936-942, July 2015.
  14. A. Alsheikhy, S. Han and R. Ammar, "Delay and Power Consumption Estimation in Embedded Systems Using Hierarchical Performance Modeling", 15th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 34-39, December 2015, Abu Dhabi, UAE.
  15. A. Alsheikhy, R. Ammar, R. Elfouly and M. Alharthi, "Power Consumption and Energy Estimation in Smartphones", International Journal of Advanved Engineering, Management and Science (IJAEMS), Vol. 2, Issue 10, pp. 1758-1765, Oct. 2016.
  16. L. Chin, .S. Wei and G. Yu, "Performance Evaluation of Embedded System Based on Behavior Expressions", 2nd International Conference on Mechanical and Electronics Engineering (ICMEE), Vol. 1, pp. 253-256, 2010.
  17. D. Smarkusky, R. Ammar, I. Antonios and H. Sholl, "Hierarchical Performance Modeling for Distributed System Architectures," Computer and Communications, 2000. Proceedings. ISCC 2000. Fifth IEEE Symposium, pp. 659-664, July 2000.
  18. R. Ammar, "Performance Evaluation Analysis", Lecture Notes, University of Connecticut, 1991.