Impact of Artificial Intelligence and Macune Operation in the Aviation Industry

Impact of Artificial Intelligence and Macune Operation in the Aviation Industry

Project / Seminar Material
Reference ID: PS-23960-TM

DEDICATION

This research material titled “Impact of Artificial Intelligence and Macune Operation in the Aviation Industry” is dedicated to God for his enabling grace, and to all computer enthusiasts who contributed to make life a pleasant experience during my research documentation.

ACKNOWLEDGEMENT

I extend my sincere gratitude to all those who contributed to the completion of this project. Special thanks to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Aviation, Book Authors and Profound Scholars of existing or related project material on “Impact of Artificial Intelligence and Macune Operation in the Aviation Industry” for their invaluable guidance, support, and expertise throughout the journey.

I am also grateful to your study area (mention any funding organizations, if applicable) for their financial assistance. This research would not have been possible without the encouragement and assistance of some stakeholders (mention any mentors, teachers, or colleagues). Additionally, I would like to acknowledge the understanding and patience of my family and friends during this endeavor. Your unwavering support has been a constant source of motivation. Thank you all for being part of this meaningful endeavor.

Impact of Artificial Intelligence and Macune Operation in the Aviation Industry

TABLE OF CONTENTS

PRELIMINARY PAGES

CHAPTER ONE

INTRODUCTION

  • 1.1 Introduction
  • 1.2 Background of Study
  • 1.3 Statement of Problems
  • 1.4 Aim and Objectives of Study
  • 1.5 Research Questions
  • 1.6 Research Hypothesis
  • 1.7 Significance of Study
  • 1.8 Scope of Study
  • 1.9 Limitations of the study
  • 1.10 Definition of Terms

CHAPTER TWO

LITERATURE REVIEW

  • 2.1 Introduction
  • 2.2 Conceptual Review
  • 2.2.1 AI-based Virtual Assistants
  • 2.2.2 Aircraft Monitoring
  • 2.2.3 Traveler Experience
  • 2.3 Uses of AI in the Aviation Industry
  • 2.4 Impact of AI in Travel and Aviation Industry
  • 2.5 Role of AI in the Aviation Industry
  • 2.6 Theoretical Framework
  • 2.6.1 Air Traffic Flow Management
  • 2.6.2 Machine Learning and Traffic Management
  • 2.6.3 AI in Aviation Industry
  • 2.6.4 Artificial Intelligence Systems in Aviation
  • 2.7 Aircraft Design and Operation
  • 2.8 Future Aspects of AI in Aviation Industry
  • 2.9 Safety and Real-Time Monitoring of Aircraft

CHAPTER THREE

RESEARCH METHODOLOGY

  • 3.1 Introduction
  • 3.2 Research Design
  • 3.3 Population of Study
  • 3.4 Sampling and Sampling Technique
  • 3.5 Validation of Research Instrument
  • 3.6 Method of Data Collection
  • 3.7 Method of Data Analysis
  • 3.8 Questionnaire
  • 3.8.1 Interview
  • 3.8.2 Key Informants Interview
  • 3.8.3 Observation
  • 3.9 Statistical Analysis

CHAPTER FOUR

DATA ANALYSIS, RESULT AND DISCUSSION

  • 4.1 Introduction
  • 4.2 Presentation and Analysis of Data
  • 4.3 Test of Hypothesis 1
  • 4.4 Test of Hypothesis 2
  • 4.5 Discussion of Findings

CHAPTER FIVE

SUMMARY, CONCLUSION AND RECOMMENDATION

  • 5.1 Introduction
  • 5.2 Summary
  • 5.3 Conclusion
  • 5.4 Recommendation

REFERENCES

APPENDIX A - “QUESTIONNAIRE”

ABSTRACT

Artificial intelligence (AI) in Aviation Industry is an extensive computing component responsible for the creation of intelligent machines capable of performing tasks that require human ingenuity. The aim of the study is to investigate the Impact of Artificial Intelligence and Macune Operation in the Aviation Industry using Air Peace Airlines as a case study. In achieving this aim, the following specific objectives were laid out to examine the use of artificial intelligence in the aviation industry, assess the impact of machine learning in aviation industry, analyze the impact of AI-Human Collaboration, and examine the future aspects of Aviation by Artificial Intelligence. The research design used in this report is descriptive design, utilizing questionnaire method to obtain information from the respondents for this project. A total of 200 (two hundred) respondents were selected for this study to represent the entire population of the study. For null hypotheses were formulated and tested using the one-way ANOVA and the t-test statistical tools at 0.05 level of significance. Primary data were collected from the primary source which questionnaire was used as an instrument of data collection while secondary data were sources from textbooks, journals, newspapers and the internet were employed. The data were presented on a frequency distribution table and analyzed using simple percentage, while hypothesis was tested using chi-square test. The relevance of Artificial Intelligence is that, AI can be used to provide a deeper understanding of cargo, which allows airports and airports to determine which routes are causing the most stress in their systems, what causes problems and how to ship bags effectively.

Impact of Artificial Intelligence and Macune Operation in the Aviation Industry

CHAPTER ONE

1.1 Introduction

Artificial intelligence (AI) is an extensive computing component responsible for the creation of intelligent machines capable of performing tasks that require human ingenuity. AI is a multi-disciplinary science with many approaches, but advances in machine learning and in-depth learning create great demand in the current and current technology industry. AI is a branch of computer science the act of duplicating or mimicking human intelligence in machines.

As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Research hypothesis and questions, Limitations of the Study and Definition of technical terms.

1.2 Background of Study

Today, leading airlines are exploring how artificial intelligence can help them keep pace with customer demand and improve operational efficacy, speed and customer satisfaction. Below are a few changes we have seen, and what to expect in the near future. The travel industry as a whole is disrupted by AI. From automobiles to railways, the way we get around is changing for the better. While the race for an autonomous car and improvements to our driving experience remains in the headlines, the airline industry is making strides as well (Socialhospitality, 2021).

AI-based virtual assistants help airline companies improve the productivity and efficiency of their pilots by reducing their repetitive tasks, such as changing radio channels, reading wind forecasts, and providing position information on request, among others. These recurring jobs can be handled by AI-enabled virtual assistants. Companies such as Garmin (US) offer AI-enabled audio panels, which are useful for pilots (Socialhospitality, 2021).

Artificial Intelligence (AI) continues to evolve and expand, companies are seeing big changes in their field. Big name brands are investing in AI technology to enhance their products and services to better serve their customers. AI is being explored in the commercial airline segment of the aviation industry and is being integrated across multiple areas including customer service, airport and flight operations. It’s projected that the cost of airport development, specifically improving and modernizing existing infrastructure and operations, will exceed $1 trillion over the next fifteen years. While the leading commercial passenger airlines are relatively early-adopters of AI, industry projections depict a business environment primed for innovation and automation (Socialhospitality, 2021).

Machine learning feeds computer data and statistical techniques are used to help you determine how to continuously appeal to a task, unless specifically designed for that task, eliminating the need for multiple lines of written code. In-depth learning can be a form of machine learning that uses inputs using health- inspired neural specifications. Neural networks consist of various layers in which information is processed, allowing the machine to go deeper into its learning, making connections and adding weight to positive results.

Therefore, in Air Peace Airlines where the research was carried out, the activities that was conducted is to know the Impact of Artificial Intelligence and Macune Operation in the Aviation Industry.

1.3 Statement of Problems

Investigation reveals the challenges of the Impact of Artificial Intelligence and Macune Operation in the Aviation Industry research work which entails that, many aviation industry domains will be affected by this emerging technology. The air transport system is facing new challenges: increasing air volume, heavy environmental standards, growing systems complexity, greater focus on competition, AI can provide opportunities for it.

1.4 Aim and Objectives of Study

The aim of the study is to investigate the Impact of Artificial Intelligence and Macune Operation in the Aviation Industry using Air Peace Airlines as a case study. In achieving this aim, the following specific objectives were laid out as follows:

  1. To examine the use of artificial intelligence in the aviation industry
  2. To assess the impact of machine learning in aviation industry
  3. To analyze the impact of AI-Human Collaboration
  4. To examine the future aspects of Aviation by Artificial Intelligence

1.5 Research Questions

The study came up with research questions so as to be able to ascertain the above stated objectives. The specific research questions for the study are stated below as follows:

  • Does machine learning positively impact aviation industry?
  • What are the uses of artificial intelligence in the aviation industry?
  • What is the impact of AI-Human Collaboration towards aviation industry?
  • What are the future aspects of Aviation by Artificial Intelligence?
…

CHAPTER TWO

2.0 Literature Review

2.1 Introduction

This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the …

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