Advanced Computing Strategies for Engineering, Part I

Advanced Computing Strategies for Engineering, Part I Front Cover
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2018-05-19
620 pages

Book Description

Advanced Computing Strategies for : 25th EG-ICE International Workshop 2018, Lausanne, Switzerland, June 10-13, 2018, Proceedings, Part I (Lecture Notes in )

This double volume set ( LNAI 10863-10864)  constitutes the refereed proceedings of the 25th International Workshop, EG-ICE 2018, held in Lausanne, Switzerland, in June 2018.

The 58 papers presented in this volume were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on Advanced Computing in Engineering, Computer Supported , Life-Cycle Design Support, Monitoring and Control Algorithms in Engineering, and BIM and Engineering Ontologies.

Table of Contents

Chapter 1. Automatic Object Detection from Digital Images by Deep Learning with Transfer Learning
Chapter 2. Data Driven Analytics (Machine Learning) for System Characterization, Diagnostics and Control Optimization
Chapter 3. 3D Imaging in Construction and Infrastructure Management: Technological Assessment and Future Resear ...
Chapter 4. IoT - An Opportunity for Autonomous BIM Reconstruction?
Chapter 5. Space Classification from Point Clouds of Indoor Environments Based on Reconstructed Topology
Chapter 6. State-of-Practice on As-Is Modelling of Industrial Facilities
Chapter 7. Pavement Defects Detection and Classification Using Smartphone-Based Vibration and Video Signals
Chapter 8. Optimization Formulations for the Design of Low Embodied Energy Structures Made from Reused Elements
Chapter 9. Collaborative Immersive Planning and Training Scenarios in VR
Chapter 10. 3DFacilities: Annotated 3D Reconstructions of Building Facilities
Chapter 11. Meta Models for Real-Time Design Assessment Within an Integrated Information and Numerical Modelling
Chapter 12. A Visual Interactive Environment for Engineering Knowledge Modelling
Chapter 13. Lessons Learned with Laser Scanning Point Cloud Management in Hadoop HBase
Chapter 14. SLAM-Driven Intelligent Autonomous Mobile Robot Navigation for Construction Applications
Chapter 15. Making Each Workhour Count: Improving the Prediction of Construction Durations and Resource Allocations
Chapter 16. Fiatech: History and Perspectives on Future Research
Chapter 17. Advanced Construction Information Modeling: Technology Integration and Education
Chapter 18. Derivation of Minimum Required Model for Augmented Reality Based Stepwise Construction Assembly Control
Chapter 19. Quantitative Analysis of Close Call Events
Chapter 20. Towards a Data-Driven Approach to Injury Prevention in Construction
Chapter 21. Visual Data and for Proactive Project Controls on Construction Sites
Chapter 22. Quantification of Energy Consumption and Carbon Dioxide Emissions During Excavator Operations
Chapter 23. Intelligent Computing for Building Performance Analysis
Chapter 24. Quality Function Deployment Based Conceptual Framework for Designing Resilient Urban Infrastructure ...
Chapter 25. Quantifying Performance Degradation of HVAC for Proactive Maintenance Using a Data-Driven Approach
Chapter 26. Vulnerability Distribution Model of Critical Infrastructures Based on Topological System Simulation
Chapter 27. Component-Based Machine Learning for Energy Performance Prediction by MultiLOD Models in the Early Phases of Building Design
Chapter 28. Detect Relationship Between Urban Housing Development and Urban Heat Island Dynamic in Hyper-density ...
Chapter 29. PPP Cost-Sharing of Multi-purpose Utility Tunnels
Chapter 30. Data-Driven, Multi-metric, and Time-Varying (DMT) Building Energy Benchmarking Using Smart Meter Data
Chapter 31. Visual Pattern Recognition as a Means to Optimising Building Performance?

Book Details

  • Title: Advanced Computing Strategies for Engineering, Part I
  • Length: 620 pages
  • Edition: 1st ed. 2018
  • Language: English
  • Publisher:
  • Publication Date: 2018-05-19
  • ISBN-10: 3319916343
  • ISBN-13: 9783319916347
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