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Unmanned and autonomous ships : an overview of mass / R. Glenn Wright.

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"Unmanned ships and autonomous ships are quickly becoming a reality making shipping safer and more efficient. However, traditional tasks and functions are becoming blurred as new technology changes how the unique needs of different sectors are met. In addition to large vessels dedicated to the...

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Wright, R. Glenn (Author)
Format: Electronic eBook
Language:English
Published: Abingdon, Oxon ; New York, NY : Routledge, 2020.
Subjects:
Automatic pilot (Ships)
Ships > Automation.
Ships > Automation
Table of Contents:
  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Dedication
  • Table of Contents
  • Preface
  • Acronyms and Abbreviations
  • Chapter 1 Introduction
  • 1.1 A Historical Perspective on Advances in Shipping
  • 1.1.1 Construction
  • 1.1.2 Function
  • 1.1.3 Propulsion
  • 1.1.4 Navigation
  • 1.1.5 Communications
  • 1.1.6 Electronic Navigation and Communications
  • 1.1.7 Command and Control
  • 1.2 Current Initiatives in Unmanned and Autonomous Shipping
  • 1.2.1 Industry and Academia
  • 1.2.2 Regulatory Authorities
  • 1.2.3 Classification Societies
  • 1.2.4 Non-Governmental Organizations
  • 1.3 A Mariner's Perspective
  • 1.3.1 Human Senses Exceed Remote Operator and Full Autonomy Capabilities
  • 1.3.2 Implicit Devaluation of the Maritime Professions
  • 1.3.3 Maritime Jobs
  • 1.3.4 Other Issues
  • References
  • Chapter 2 Making the Case for Unmanned and Autonomous Ships
  • 2.1 Economic Perspectives
  • 2.1.1 Economical Transport
  • 2.1.1.1 Fixed Costs
  • 2.1.1.2 Operating Costs
  • 2.1.2 New Business Opportunities
  • 2.1.3 Data Monetization
  • 2.2 Safety
  • 2.2.1 Safety of Navigation
  • 2.2.2 Job Safety
  • 2.2.2.1 Hazard and Failure Prognostics and Detection
  • 2.2.2.2 Automation of Hazardous Tasks
  • 2.3 Environment
  • References
  • Chapter 3 Autonomy, Automation and Reasoning
  • 3.1 Metrics of Autonomy
  • 3.1.1 Lloyds Register
  • 3.1.2 Norwegian University of Science and Technology (NTNU)
  • 3.1.3 Norwegian Forum for Autonomous Ships (NFAS)
  • 3.1.4 Maritime UK
  • 3.1.5 Society of Automotive Engineers (SAE)
  • 3.1.6 IMO Definition of Autonomy
  • 3.1.7 Comparisons between Different Approaches to Autonomy
  • 3.2 Process Automation
  • 3.2.1 Propulsion Control
  • 3.2.2 Power Generation, Distribution and Control
  • 3.2.3 Auxiliary Systems
  • 3.2.4 Navigation
  • 3.2.5 Communications
  • 3.2.6 Alarm Monitoring and Damage Control
  • 3.2.7 Integration of Process Automation
  • 3.3 MASS Reasoning
  • 3.3.1 Some Thoughts on Reasoning
  • 3.3.2 Artificial Intelligence
  • 3.3.2.1 Neural Network Architecture
  • 3.3.2.2 Software Simulation
  • 3.3.2.3 Network Training
  • 3.3.2.4 Hardware Implementation
  • References
  • Chapter 4 MASS Design and Engineering
  • 4.1 Applications and Operational Settings
  • 4.1.1 Hull and Deck Design
  • 4.1.2 Propulsion and Power Generation
  • 4.1.2.1 Engines
  • 4.1.2.2 Fuel and Power Sources
  • 4.1.3 Sensors
  • 4.1.3.1 Environment Visualization
  • 4.1.3.2 Situational Awareness and Comprehension
  • 4.1.3.3 Sensor Suite Composition and Placement
  • 4.1.4 Maintenance
  • 4.1.4.1 Introduction of Highly Reliable Systems
  • 4.1.4.2 Multiple Redundant Systems
  • 4.1.4.3 Predictive Maintenance
  • 4.1.4.4 Robotic Maintenance
  • 4.2 Implementations of MASS
  • 4.2.1 Container and Bulk Shipping
  • 4.2.1.1 Yara Birkeland
  • 4.2.1.2 Project SeaShuttle
  • 4.2.1.3 Great Intelligence
  • 4.2.2 Ferries
  • 4.2.2.1 Folgefonn
  • 4.2.2.2 Falco
  • 4.2.2.3 Suomenlinna II

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