Abstracts – Browse Results
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Abbiasov, T (2021) Essays in Urban Economics, Unpublished PhD Thesis, , Columbia University.
Asgari, S (2016) Modeling construction competitive bidding: An agent-based approach, Unpublished PhD Thesis, , Columbia University.
Chang, H-H (2002) N-dimensional construction management information system (NDCON): System design and performance modeling through the zero -buffered project management philosophy, Unpublished PhD Thesis, , Columbia University.
Chen, S-M (2002) Intelligent scheduling model and multi-dimensional CM information system, Unpublished PhD Thesis, , Columbia University.
Chiara, N (2006) Real option methods for improving economic risk management in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Fitch, G J (2019) System dynamics models for the valuation of real options in infrastructure investments, Unpublished PhD Thesis, , Columbia University.
Gerstenberger, A J (2021) Modeling the likelihood of construction incidents using public data, Unpublished PhD Thesis, , Teachers College, Columbia University.
Gocmen, F C (2014) Infrastructure scaling and pricing, Unpublished PhD Thesis, , Columbia University.
He, Y (2006) Earthquake loss and risk estimation of buildings by Monte Carlo simulation, Unpublished PhD Thesis, , Columbia University.
Hogan, D B (1998) Modeling construction cost performance: A comprehensive approach using statistical, artificial neural network and simulation methods, Unpublished PhD Thesis, , Columbia University.
Kokkaew, N (2010) Risk flexibility analysis in infrastructure project finance, Unpublished PhD Thesis, , Columbia University.
Li, W (1995) Benefit and cost analysis: Three-dimensional computer models with integrated databases in the management of construction, Unpublished PhD Thesis, , Columbia University.
Lu, Z (2018) Feasibility assessment framework for financing public-private partnership infrastructure projects through asset-backed security, Unpublished PhD Thesis, , Columbia University.
Silver, M L (1981) Craft production: Work and alienation in the construction industry, Unpublished PhD Thesis, , Columbia University.
Song, X (2013) The application of insurance as a risk management tool for alternative dispute resolution (ADR) implementation in construction disputes, Unpublished PhD Thesis, , Columbia University.
Sturts, C S (2001) Value-bidding: An integrative approach utilizing conjoint analysis and classical bidding theory, Unpublished PhD Thesis, , Columbia University.
Subsomboon, K (2004) A procurement and material management (PMM) system based on the fully integrated and automated project process (FIAPP), Unpublished PhD Thesis, , Columbia University.
Sun, W (2023) A self-localized smart hardhat system for construction 4.0, Unpublished PhD Thesis, , Columbia University.
- Type: Thesis
- Keywords: artificial intelligence; manufacturing; prefabrication; safety; productivity; digital twin
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2810802382
- Abstract:
Human beings are at the rim of embracing Industry 4.0, which indicates the mass application of Artificial Intelligence (AI), Internet of Things (IoT), 5G, connected industrial robots, and big data may breed the next wave of the industrial revolution, and eventually increase human society’s productivity and happiness. Construction 4.0 is modeled after Industry 4.0, a confluence and convergence of emerging trends and technologies from the manufacturing industry in a dedicated framework designed for the Architecture\Engineering\Construction (AEC) industry. Within this framework vision, industrial prefabrication, cyber-physical systems, and digital technologies will work together toward a safer and more productive future. However, the cold facts were that in the past 20 years, the productivity in AEC industries only grew less than 20%, outpaced by the manufacturing industry (50%); as for the safety aspect, the industry mortality rate in the US kept steady in the last ten years. All facts point to the current approach to improving productivity, and safety may have enormous room to improve. Improving workplace safety and work efficiency is extremely important for the AEC industry's highly dynamic and GNSS-denial environment. However, the lack of precise indoor localization and estimation of the human sight field has impeded this process. It hinders augmented reality (AR) and prevents other emerging technologies (e.g., cyber-physical systems, digital twins). Acknowledging this void, this research customizes a novel wearable device system applying LiDAR as a key sensor and semantic 3D map as preload database to outperform current approaches in precision and range, even without any positioning infrastructures. In addition, preload map data can be generated directly from existing BIM models or future full-functional digital twin systems, reducing the cost of large-scale commercial deployment. Experimental results are presented to demonstrate the comparative efficacy of our system.
Tavakolan, M (2011) Development of construction projects scheduling with evolutionary algorithms, Unpublished PhD Thesis, , Columbia University.
Teferra, K (2012) Developments in the theory and applications of the variability response function concept, Unpublished PhD Thesis, , Columbia University.
Ucbenli, C (2010) A bargaining mechanism with incomplete information and its application in trilateral BOT negotiations, Unpublished PhD Thesis, , Columbia University.
Unsal, H I (2010) Modeling the hold-up problem and absorptive capacity of project networks, Unpublished PhD Thesis, , Columbia University.
Wang, W (2010) Multivariate stochastic copula-based deterioration models in infrastructure economic risk management, Unpublished PhD Thesis, , Columbia University.