The Construction Technology Handbook.

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 -- Digital Twins -- Technology Going Forward -- Chapter 9 Innovation and Technology Adoption -- Product Innovation -- Vendor Innovation -- User-led Innovation -- Internal Innovation -- Innovation as Culture Change -- Process Innovation -- Innovation Versus Creativity -- Innovation as Corporate Practice -- Innovation Teams -- Chapter 10 The Digital Construction Mindset -- Adopting the Digital Construction Mindset -- Intuitive, Human Skills Arena -- Digital Skills -- Bibliography -- Books -- Websites -- Courses -- About the Author -- Index -- EULA.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.