In this paper, we present a novel approach for managing the file system in Linux using a voice assistant. Our system allows users to perform file system operations such as creating directories, renaming files, and deleting files by issuing voice commands. We develop a voice assistant using Python libraries and integrate it with the file system in Linux. The voice assistant is capable of understanding natural language and executing commands based on the user's voice inputs. We conduct experiments to evaluate the performance of the system and demonstrate that our approach is effective and efficient in managing the file system using voice commands. Our system can enhance the accessibility and usability of the file system in Linux for individuals with disabilities or those who prefer a hands-free approach to file management.

Existing methods for simulating missile dynamics and training often rely on three degrees of freedom (3DOF) motions, limiting their ability to represent the complex maneuvers and targeting strategies of modern missiles. This paper proposes integrating virtual reality (VR) technology with six degrees of freedom (6DOF) dynamics to enhance the accuracy and efficiency of missile simulation and training. By incorporating 6DOF dynamics, simulations can capture the full range of missile motion, providing a comprehensive understanding of their capabilities and limitations. Through VR, users can immerse themselves in realistic missile scenarios, interact with dynamic behaviors in real-time, and refine their targeting and interception skills. The integration of VR with 6DOF dynamics also facilitates realtime feedback and evaluation, enhancing training efficiency and proficiency in missile operations. This approach aims to revolutionize missile training by bridging the gap between traditional simulation methods and real-world dynamics.

Ship seaworthiness is a critical factor in maritime engineering, ensuring vessels can navigate safely and efficiently across diverse environmental conditions. This project employs advanced Computational Fluid Dynamics (CFD) calculations, coupled with GPU acceleration, to comprehensively assess ship seaworthiness. Through meticulous CFD simulations, the complex fluid-structure interactions between ships and water bodies are modeled, enabling precise predictions of hydrodynamic forces, fluid flow patterns, and stability parameters crucial for ship performance evaluation. The primary objective is to deepen understanding of ship behavior under various environmental scenarios, including different sea states, vessel speeds, and hull designs. By conducting detailed CFD simulations accelerated by GPUs, potential areas for enhancing ship designs, propulsion systems, and operational strategies can be identified, significantly improving seaworthiness and operational efficiency. Additionally, this approach aims to establish a robust framework for continuous improvement in maritime engineering practices, contributing to safer and more efficient maritime operations globally. The integration of advanced turbulence models and machine learning techniques further enhances the predictive capabilities of our simulations, offering new insights into optimal ship design and performance under challenging conditions.