BIM-enabled Cognitive Computing for Smart Built Environment
Potential, Requirements, and Implementation
- Available for pre-order. Item will ship after June 18, 2021
The book provides knowledge in the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment involving cognitive network capabilities for smart buildings, integrating Augmented Reality/Mixed Reality in cognitive building concepts, cognitive Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using big data and machine learning. It focuses on the potential, requirements and implementation of CIoT paradigm to buildings, Artificial Intelligence techniques, reasoning, and Augmented Reality/Mixed Reality in cognitive building concepts, the concept of cognitive smart cities in its complexity, heterogeneity, and scope, and the challenge of utilizing the big data generated by smart cities from a machine learning perspective. The book comprises BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities using big data and machine learning as complex and dynamic systems. It presents applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the motivating physical and informational settings. It reviews ongoing development of BIM-based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to cognitive systems that will advance different aspects of future cognitive cities. The book also analyses the required material to inform pertinent research communities of the state-of-the-art research and the latest development in the area of cognitive smart cities development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of CIoT based on big data analytics and context–aware computing.
Table of Contents
Overview of Cyber-Physical Systems and Enabling Technologies in Cognitive Computing for Smart Built Environment. Towards a Digital Twin-based Smart Built Environment. BIM-IoT Integrated Architectures as the Backbone of Cognitive Buildings: Current State and Future Directions. Digital Twin Procreation Through Convergence of Building Information Model (BIM) and Internet of Things (IoT). The Integration of Building Information Modeling (BIM) and Immersive Technologies (ImTech) for the Digital Twin Implementation in the AECO/FM industry. Smart Maintenance Services for Buildings with Digital Twins and Augmented Reality. Blockchain: Technologies for Facilitating Cyber-Physical Security in Smart Built Environment. eLUX: The Case Study of the Cognitive Building in the Smart Campus at the University of Brescia. Index.
Ibrahim Yitmen received his PhD in Architecture from Istanbul Technical University, Turkey. He is currently an Associate Professor in Management of Construction Production at Jönköping University, Sweden since February 2018. His research focus is mainly on Innovation in Construction involving socio-technical issues regarding digital transformation in AEC industry, and his recent special interest is on BIM-Enabled Cognitive Computing for Smart Built Environment, Augmented Reality/Mixed Reality for Cognitive Buildings, Blockchain Technology in Construction Supply Chains, Unmanned Aerial Vehicles and BIM Integration for Construction Safety Planning and Monitoring, and Automated BIM-based Construction Project Progress Monitoring. Dr. Yitmen have published more than 70 research papers in refereed international journals and in peer reviewed conference proceedings. He is currently one of the guest editors of the MDPI Journal Applied Sciences for the Special Issue "Cognitive Buildings". Dr. Yitmen serves on the scientific committees of the international conferences held by the International Council for Research and Innovation in Building and Construction (CIB), American Society of Civil Engineers (ASCE), and European Council on Computing in Construction (EC3). He has been is an active Member of American Society for Engineering Management, USA since 2010.