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The Construction Technology Handbook
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2021.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright
- Contents
- Foreword
- Preface
- Acknowledgments
- Chapter 1 Introduction
- What Technology Is
- Understanding a Technology's Basis
- Technology Domains
- Domains Versus Products
- What's Different about Digital Technology
- Your Community
- Technology Supply
- Use of technology is a technology
- The Rest of this Book
- Chapter 2 Software
- First Principles: What Is Software
- Software Is a Machine
- How We Make Software
- Agile Development
- Software Anatomy
- Users
- User Interfaces (UI)
- User Experience (UX)
- Piloting Software
- Applications
- SaaS Revolution
- Downloaded Applications
- Security
- Operating Systems
- Computer Operating Systems
- Mobile Operating Systems
- Open Source
- The Stack
- Transistors and logic
- The Software Developer's Stack
- Chapter 3 Software Networks
- Types of Networks
- The Internet
- Wi-Fi
- Bluetooth
- Cellular
- Satellite Networks
- Application Programming Interfaces (APIs)
- Networks of Technology
- Data
- Why Data?
- How Data Gets Used
- Gut-checking Data
- Analysis: Data + Judgment
- Data Standards
- Software as a System
- Chapter 4 Construction Software
- Beginnings
- The Problems with Field Software
- Overview of Field Software
- Construction Management (CM) Software
- Good Information
- Good Analysis
- Good Presentation
- Field Software Beyond CM
- Does it Work for All of Your Users?
- Does it Work with Your CM Software?
- Do You Have the Team to Manage It?
- Specialty Trades Versus General Contractors' Use of Field Software
- BIM
- Chapter 5 Industrialized Construction
- Types of Industrialized Construction
- DFMA
- Design for Manufacturing
- Design for Assembly
- Other Considerations of DFMA
- IC Tools and Processes
- IC Software
- Chapter 6 Machine Learning and Artificial Intelligence
- What Is Machine Learning and Artificial Intelligence?
- Why AI?
- AI's Weak Spots
- Edge Cases
- Biases
- How Machine Learning Works
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Deep Learning
- Deep Learning Defined
- Imagenet and the Birth of Modern AI
- Big Data
- Computing Power
- Algorithms
- Training AI
- Chapter 7 Applying Artificial Intelligence
- Level of Accuracy
- Capturing the Edges
- Lessons About AI Accuracy
- Augmenting Human Work
- A Practical Guide to Narrowness
- Data Integrity: The Flip Side of Narrow
- Data Collection
- Transfer Learning: Easy AI
- Applications of AI
- Building Your Own AI
- Building Around an API
- Buying Your AI
- Dealing with Startups
- AI Accuracy
- AI in Your Future
- Chapter 8 Future Tools
- Virtual Reality (VR)
- Why VR
- Augmented Reality (AR)
- Phase 1: Marker-based AR
- Phase 2: Computer vision/SLAM
- Phase 3: Headsets
- Phase 4: LiDAR
- Phase 5: AR Cloud
- Phase 6: AR Glasses
- 3D Scanning
- Enterprise-led Technologies
- Knitting Together a New Picture
- IoT and BIM