Cyber-Physical Systems and Real-Time Control
Table Of Contents
1. Introduction
1.1 Background and Motivation
1.2 Objectives and Scope
2. Literature Review
2.1 Cognitive Computing and Natural Language Understanding
2.2 State-of-the-Art Techniques and Applications
3. Methodology
3.1 Data Collection and Preprocessing
3.2 Cognitive Computing Models and Algorithms
4. Natural Language Understanding System Design
4.1 Semantic Analysis and Context Awareness
4.2 Sentiment Recognition and Emotional Analysis
5. Implementation and Experimentation
5.1 System Development and Integration
5.2 Performance Evaluation and Testing
Thesis Abstract
Cyber-physical systems (CPS) integrate computational and physical components to monitor and control complex processes in real time. This project aims to investigate the design and implementation of CPS for real-time control applications, with a focus on system architecture, communication protocols, and control algorithms. The project will explore the integration of sensors, actuators, and computational elements to create a responsive and reliable CPS for applications such as industrial automation, smart infrastructure, and autonomous vehicles.
Thesis Overview
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