Development of Novel Optimization Technique for Surface Duct Estimation on Thin Films
| Authors | Ganesh Punjaba Dawange1 , Sandip R. Thorat2, Tarun Dhar Diwan3 , P. William4 , Bhagyashree Ashok Tingare5, Yogeesh N6, Abhishek Badholia7 |
| Affiliations |
1Engineering Science and Humanities, Sanjivani College of Engineering, Kopargaon, India 2Department of Mechanical Engineering, Sanjivani College of Engineering, Kopargaon, MH, India 3Controller of Examination (COE), Atal Bihari Vajpayee University, Bilaspur, India 4Department of Information Technology, Sanjivani College of Engineering, Kopargaon, MH, India 5Department of Artificial Intelligence and Data Science, D Y Patil College of Engineering, Akurdi, Pune, India 6Department of Mathematics, Government First Grade College, Tumkur, Karnataka, India 7Department of Data Science, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, India |
| Е-mail | william160891@gmail.com |
| Issue | Volume 17, Year 2025, Number 5 |
| Dates | Received 16 August 2025; revised manuscript received 18 October 2025; published online 30 October 2025 |
| Citation | Ganesh Punjaba Dawange, Sandip R. Thorat, Tarun Dhar Diwan, et al., J. Nano- Electron. Phys. 17 No 5, 05038 (2025) |
| DOI | https://doi.org/10.21272/jnep.17(5).05038 |
| PACS Number(s) | 07.05.Mh, 84.40.Xb |
| Keywords | Surface duct, Electromagnetic propagation, Monterey-Miami Parabolic Equation (MMPE), Artificial Fish Swarm Driven Dynamic Seagull Optimization (AFS-DSO), Radar systems. |
| Annotation |
Surface duct is a well-observed occurrence in the atmospheric airspace whereby a thin layer of airspace is formed closer to the surface, hence advancing the propagation range of electromagnetic signals. This ducting effect can improve radar and radio signal transmission, which affects communication and surveillance applications. The environmental factors at the site could affect the formation of the duct and the reliance on a specific set of modelling assumptions made with the Monterey-Miami Parabolic Equation (MMPE) approach of the ducting system. To estimate the surface ducts more effectively, the Artificial Fish Swarm Driven Dynamic Seagull Optimization (AFS-DSO) technique is employed in this study. Using several iterations, the study investigates propagation loss, objective function, convergence rate, and clutter power modelling as electromagnetic wave propagation attributes. The efficiency of the proposed AFS-DSO is found to be higher than the conventional technique of Dynamic Seagull Optimization (DSO). The results show the effectiveness of the improvement compared to the baseline using hybrid optimization algorithms, which can improve estimates of surface ducts for radar and thin film applications. |
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List of References |
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