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Mobile and Pervasive Computing in Construction.
Title:
Mobile and Pervasive Computing in Construction.
Author:
Anumba, Chimay J.
ISBN:
9781118422274
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (304 pages)
Contents:
MOBILE AND PERVASIVE COMPUTING IN CONSTRUCTION -- Contents -- Contributors -- Preface -- Acknowledgments -- 1 Mobile and Pervasive Computing in Construction: an Introduction -- 1.1 Background -- 1.2 Fundamental Characteristics of Mobile Computing -- 1.2.1 Adaptability -- 1.2.2 Mobility management -- 1.2.3 Information dissemination and management -- 1.2.4 Sensor networks -- 1.2.5 Security -- 1.3 Pervasive Computing -- 1.3.1 Pervasive computing technologies -- 1.4 Summary -- References -- 2 Mobile and Semantic Web-Based Delivery of Context-Aware Information and Services in Construction -- 2.1 Introduction -- 2.2 Limitations of Current Processes and Technologies -- 2.3 Integrated Service Delivery Architecture -- 2.4 Prototype System Implementation -- 2.5 Development of the Project Repository -- 2.6 OntoWise -- 2.7 Deployment Case Studies -- 2.7.1 Construction site environment -- 2.7.2 Construction education setting -- 2.7.3 Train station -- 2.8 Summary and Conclusions -- References -- 3 Communication Technology in Mobile and Pervasive Computing -- 3.1 Introduction -- 3.2 Mobile and Pervasive Devices -- 3.3 Communication Basics -- 3.3.1 Radio standards and available technologies -- 3.3.2 IEEE 802.15.4 (Low Rate WPAN) -- 3.3.3 Zigbee -- 3.3.4 IEEE 802.11 -- 3.4 Communication Protocols -- 3.4.1 Open protocols -- 3.5 Service Protocols -- 3.6 Proprietary Buses and Protocols -- 3.7 Summary -- References -- 4 A Framework for Designing Mobile Virtual Training Systems through Virtual Modeling Technology -- 4.1 Introduction -- 4.2 Taxonomy for Defining Virtual Training Systems -- 4.2.1 Controllable components for equipment or special operation training -- 4.2.2 Extent (level) of training scenario modeling -- 4.2.3 Distinguishing properties of training task scenario -- 4.3 Relating Virtual Technologies to Training Skills -- 4.3.1 Reasoning and planning.

4.3.2 Spatial skills -- 4.3.3 Memory and procedure learning -- 4.3.4 Complex sensorimotor skills -- 4.3.5 Simple sensorimotor skills -- 4.3.6 Hybrid approach -- 4.4 Conclusions and Future Work -- References -- 5 Mobile and Pervasive Construction Visualization Using Outdoor Augmented Reality -- 5.1 Introduction -- 5.1.1 Overview of augmented reality visualization -- 5.1.2 Augmented reality vs. virtual reality -- 5.2 Prior Related Work in Construction Visualization -- 5.3 Main Contributions -- 5.4 Technical Approach to Create AR Animations -- 5.5 ARVISCOPE Animation Authoring Language -- 5.5.1 Scene construction statements -- 5.5.2 Dynamic statements -- 5.5.3 Control statements -- 5.6 Creating an AR Animation Trace File from a DES Model -- 5.7 ARVISCOPE Language Design Issues -- 5.7.1 On-site positional measurement problems -- 5.7.2 Disassembling a virtual construction meta-object -- 5.8 Examples of Pervasive Outdoor AR Visualization -- 5.8.1 Offshore concrete delivery operation -- 5.8.2 Earthmoving operation -- 5.8.3 Structural steel erection operation -- 5.9 Summary and Conclusions -- Acknowledgments -- References -- 6 Ubiquitous User Localization for Pervasive Context-Aware Construction Applications -- 6.1 Introduction -- 6.2 Current State of Knowledge -- 6.3 User Tracking in Construction Environments -- 6.3.1 WLAN-based user position tracking -- 6.3.2 UWB-based user position tracking -- 6.3.3 Indoor GPS-based user position tracking -- 6.4 Validation of Accuracy in 3D Spatial User Tracking -- 6.4.1 WLAN-based indoor experiments -- 6.4.2 UWB-based indoor experiments -- 6.4.3 Indoor GPS-based indoor experiments -- 6.4.4 Indoor tracking systems comparative summary -- 6.5 Integration of GPS and Inertial Navigation -- 6.5.1 Personal dead reckoning (PDR) system -- 6.5.2 Integrated tracking system (ITS) -- 6.5.3 Validation of the integrated tracking system.

6.5.4 Integrated tracking system summary -- 6.6 Summary and Conclusions -- Acknowledgments -- References -- 7 Person-oriented Mobile Information System Enhancing Engineering Communication in Construction Processes -- 7.1 Introduction -- 7.1.1 Engineering communication in construction process(es) -- 7.1.2 Potentials of mobile computing in construction process(es) -- 7.2 Considering People in Processes -- 7.2.1 The E-site experience -- 7.2.2 Impact on organization -- 7.3 Dynamic Communication Environment (DyCE) -- 7.3.1 From E-site to DyCE concept -- 7.3.2 DyCE architecture -- 7.4 On-site Evaluation -- 7.4.1 Collecting data -- 7.4.2 Case study 1: new hotel complex -- 7.4.3 Case study 2: sewage system -- 7.4.4 Evaluation summary -- 7.5 Conclusions -- 7.6 Future Work -- References -- 8 The iHelmet: An AR-enhanced Wearable Display for BIM Information -- 8.1 Introduction -- 8.1.1 Challenges in exploring building information -- 8.1.2 Literature review -- 8.1.3 Objectives -- 8.2 Design and Implementation of the iHelmet -- 8.2.1 System architecture -- 8.2.2 Development environment -- 8.2.3 Implementation method -- 8.3 Module Implementations -- 8.3.1 Information integration module -- 8.3.2 Positioning module -- 8.3.3 Manipulation module -- 8.3.4 Display module -- 8.4 Discussion -- 8.4.1 Advantages of this tool -- 8.4.2 Suggested future studies -- 8.5 Summary -- References -- 9 Mobile and Pervasive Computing: The Future for Design Collaboration -- 9.1 Introduction -- 9.2 Analytical Frameworks for Understanding Collaborative Technologies in Design -- 9.3 Characterizing Early Collaborative Design Technologies -- 9.4 Understanding Mobile and Pervasive Computing in Design Collaboration -- 9.5 Towards the Future -- 9.5.1 Designing in immersive environments -- 9.5.2 From collaborative design to collective design -- 9.6 Conclusion -- References.

10 Computer Vision and Pattern Recognition Technologies for Construction -- 10.1 Structural Element Recognition -- 10.2 Construction Equipment and Personnel Recognition -- 10.3 Damage and Defects Recognition -- 10.3.1 Concrete surface cracks -- 10.3.2 Air pockets -- 10.3.3 Concrete surface discoloration -- 10.3.4 Rebar exposure -- 10.3.5 Steel surface -- 10.3.6 Global building damage -- 10.3.7 Pavement surface -- 10.4 Videogrammetric Surveying -- 10.5 Summary -- References -- 11 Structural Health Monitoring using Wireless Sensor Networks -- 11.1 Introduction -- 11.1.1 Applications of existing wire-based SHM systems -- 11.1.2 Drawbacks of existing SHM systems -- 11.1.3 Wireless sensor networks: a promising but challenging paradigm for SHM -- 11.1.4 Examples of WSN-based SHM systems -- 11.1.5 The challenges for WSN-based SHM -- 11.2 How to Realize Long-Term Monitoring with WSNs using Battery-Powered Wireless Sensor Nodes -- 11.2.1 Sleep and wakeup -- 11.2.2 In-network processing -- 11.2.3 Energy harvesting -- 11.3 How to Implement Simple and Effective SHM Algorithms -- 11.3.1 Node-level SHM algorithms -- 11.3.2 Collaborative SHM algorithms -- 11.4 How to Realize Fast and Reliable Delivery of a Large Amount of Data -- 11.5 How to Deploy Sensor Nodes in WSN-based SHM System -- 11.6 How to Develop Middleware Framework for WSN-based SHM -- 11.7 Conclusion -- Acknowledgments -- References -- 12 Cloud Computing Support for Construction Collaboration -- 12.1 Introduction -- 12.2 What is Cloud Computing? -- 12.2.1 Service delivery models - SaaS, PaaS, and IaaS -- 12.2.2 Deployment models - public clouds or private clouds? -- 12.3 Cloud Computing as a Construction Collaboration Enabling Technology -- 12.4 Potential Benefits of Cloud Computing in the Construction Industry -- 12.4.1 Reduction of initial cost and lifecycle cost of IT system.

12.4.2 Thin client support for system mobility -- 12.4.3 System flexibility and elasticity -- 12.4.4 Facilitation of system maintenance and software updating -- 12.5 Challenges of Cloud Computing Adoption in the Construction Industry -- 12.5.1 Data security and governance -- 12.5.2 Interoperability issues -- 12.5.3 Searching for the right services -- 12.5.4 Service reliability, performance and availability -- 12.5.5 Trust issues -- 12.6 Proposed Collaboration Framework -- 12.7 Summary -- References -- 13 Concluding Notes -- 13.1 Introduction -- 13.2 Summary -- 13.3 Benefits of Mobile and Pervasive Computing to Construction Sector Organizations -- 13.4 Considerations in the Effective Deployment of Mobile and Pervasive Computing in Construction -- 13.5 Future Directions -- References -- Index.
Abstract:
Construction researchers and industry practitioners have begun to explore the possibilities offered by mobile and pervasive computing in architecture, engineering and construction (AEC). It is expected that the construction industry will be keen to apply these technologies as they promise significant benefits in areas such as materials management, project management, distributed collaboration and information management, all leading to improvements in productivity. This book offers a comprehensive reference volume to the use of mobile and pervasive computing in construction. Based on contributions from a mix of leading researchers and experts from academia and industry, it provides up-to-date insights into current research topics in this field as well as the latest technological advancements and practical examples. The chapters introduce the key theoretical concepts in mobile and pervasive computing and highlight the applications and solutions which are available to the construction industry. More specifically, the book focuses on the manner in which these technologies can be applied to improve practices in construction and related industries. This book will be of particular interest to academics, researchers, and graduate students at universities and industrial practitioners seeking to apply mobile and pervasive computing systems to improve construction industry productivity.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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