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Browsing by Author "Srividhya, S."

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    Advanced Python-Based Simulation Framework for Maritime Collision Prevention: Integrating Computational Physics and Interactive Game Design
    (Journal of Maritime Research, 2025-03-25) Manivannan, M.; Gokulanathan, A.; Sridevi Devasena, G. ; Srividhya, S.
    In this research work we presents a full Python-based simulation framework for the prevention of maritime Collision Prevention through the incorporation of advanced computational techniques. Along with interactive game design principles. The current study explores that the novel approaches to deal with its significant challenges in the maritime domain through a complex 2D ship Collision Prevention simulation. It uses the cutting-edge technologies. Such as Pygame, advanced mathematical modeling, and object-oriented programming. In order to establish a novel methodology in the analysis and mitigation of collision risks in maritime environments. Complex physical interactions are introduced in this simulation framework using algorithms for the purpose of real-time collision detection and dynamic visualization to simulate ship movement. The Ship class has a robust implementation and the advanced mechanisms of the collision responses. A realistic maritime interaction dynamics model in particular the event-driven architecture of a game and completes the package. The study throws light on the possibility of enhancing maritime safety through paython based simulation computational methods. Further it focusing on the important balance between technological innovation and human expertise. It will open new avenues for future research in maritime safety as well in root optimization . Especially artificial intelligence , interactive computational modeling by providing a flexible and extensible platform for collision avoidance analysis.
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    An enhanced performance optimization of ATM networks for cross-border money transfers /
    (IEEE, 2024-06-24) Srividhya, S.
    This paper provides an improved approach to optimize the performance of ATM networks for move-border money transfers. The proposed technique involves an adaptive disbursed load-balancing strategy that minimizes each aid usage and verbal exchange delays. The proposed gadget makes use of aqueous-optimized neural networks in an ATM community to dynamically perform load balancing and routing responsibilities. Further, the proposed device gives a revolutionary approach to lessen transmission loss and latency by constructing a dedicated topology to mobilize the resources. To assess the effectiveness of the proposed approach, two experimental setups are used: a -level and four-stage simulated ATM community the usage of provider stage settlement (SLA) enabled routers and a real-global ATM network within the UAE. The consequences display that the proposed method outperforms the traditional tactics in terms of aid usage, communication delays, and transmission loss. The proposed method additionally gives higher scalability and fault-tolerance characteristics.
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    Growth and Characterization of Second and Third Order Acentric Studies of l-Phenylalanine l-Phenylalaninium Malonate Single Crystal /
    (MDPI, 2022-06-20) Srividhya, S.
    A single crystal of l-phenylalanine l-phenylalanininum malonate (LPPMA) was synthesized by slow evaporation and was subjected to nonlinear optical examination and physio-chemical characterization. Studies on single X-ray diffraction confirm the arrangement of monoclinic space group P21 which is a vital criterion for the NLO phenomenon. The assessment of functional groups and diverse vibration modes responsible for the characteristics of the material was performed with an FTIR analysis. The UV-visible spectral examination found the wavelength of UV-cutoff at 233 nm and various optical parameters were evaluated. The mechanical strength and different criteria associated with it were assessed. The electric field response of the material was examined in terms of the dielectric constant, dielectric loss, ac conductivity and activation energy. The spectra of emission were detailed. The efficacy of second harmonic generation was studied. The parameters of nonlinearity were investigated to analyse the third-order acentric optical response in the LPPMA by Z-scan procedure.
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    Techniques for minimizing bandwidth bottlenecks in wireless networks for electromagnetic compatibility /
    (IEEE, 2024-06-24) Srividhya, S.
    Wi-Fi networks can face electromagnetic compatibility (EMC) issues due to bandwidth bottlenecks., various strategies were evolved to limit the bandwidth constraints while growing the throughput of Wi-Fi networks. These strategies vary from channel get admission to protocols, dynamic channel challenge schemes, and superior medium get entry to manage (MAC) protocols to radio resource management schemes (RRM) and active interference cancellation (AIC). Properly implementing those strategies can result in stepped-forward conversation overall performance and more advantageous network throughput. This paper presents a top-level view of the different strategies to reduce bandwidth bottlenecks in Wi-Fi networks, focusing on EMC. An analysis of the most enormous advocated techniques proposed for mitigating the clash between the electromagnetic environment and technological constraints is provided. In the long run, it’s proposed that after being carried out synergistically, strategies such as channel get right of entry to protocols, dynamic channel allocation schemes, RRM, and AIC protocols can enhance the throughput of Wi-Fi networks while keeping electromagnetic compatibility.

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