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Gautami Rastogi, Kislay Srivastava, Radhey Shyam,
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- Student, Student, Professor Department of Information Technology, Shri Ramswaroop Memorial College of Engineering & Management, Lucknow, Department of Information Technology, Shri Ramswaroop Memorial College of Engineering & Management, Lucknow, Department of Information Technology, Shri Ramswaroop Memorial College of Engineering & Management, Lucknow Lucknow, Uttar Pradesh, Uttar Pradesh India, India, India
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Abstract
nThe mission for naval vessels encompasses defining combat tasks, deployment statuses, and timing requirements to optimize combat patrol effectiveness and daily ship management. This involves inheriting, developing, and optimizing ship deployment strategies while establishing new deployment categories with distinct names, connotations, personnel, and equipment needs to ensure organic integration and synergy. Emphasis is placed on maintaining continuity, stability, and forward-thinking to meet the demands of warship combat operations, facilitate management and training during peacetime, and support operations and command. Additionally, the paper focuses on enhancing ship deployment monitoring using emerging technologies, incorporating elements such as automatic recognition, data recording, database integration, graphical user interface implementation, and developing a ship deployment model based on multiple linear regression. This paper addresses the monitoring of ship deployment through the development of interface using emerging technologies that includes the following important components: (i) automatic recognition,(ii) Data of ships and water vessels and their operations recoded, (iii) integration of database with the program, (iv) graphical user interface, and lastly deployment model of ships based on multiple linear regression. Automatic speech recognition is a technique that enables humans to communicate with computers in a fashion that mirrors natural conversation Over time, the machine can learn to understand speech from experience. This project report demonstrates an interface for deploying ships using artificial intelligence (AI). This interface processes voice commands using a speech-to-text method. The AI uses multiple regression as the machine learning model to identify acceptable ships based on customer needs from a database of all available sea boats. AI has endless applications in naval operations. Artificial intelligence is more effective in naval operations than in other military domains due to the ocean’s unpredictable and hostile environment. Intelligent systems are being shown to improve the efficiency of manned naval operations; however they cannot replace human commanders or regular boats.
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Keywords: Patrolling, Deployment, Speech recognition, artificial intelligence, machine learning
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Artificial Intelligence Research & Advances(joaira)]
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References
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Journal of Artificial Intelligence Research & Advances
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 02 | |
| Received | April 7, 2024 | |
| Accepted | July 8, 2024 | |
| Published | July 22, 2024 |
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