Now showing items 1-10 of 74
Re-Presenting Cultural Heritage with VR Panoramic Photography: Lessons Drawn from Media Art History
(International Panorama Council, 2018)
Developing a history of virtual reality (VR) panoramic photography not only in relation to the development of illusion and immersion, but also its content, will allow for a more robust history, so that those who are working ...
Non-Linear Profile Monitoring Using Artificial Neural Network Fault Detection
In today’s world, the development of technology and industrial systems is becoming much more complex with the ever-demanding need for higher quality. Anomaly detection is the characterization of a normal behavior of a ...
An Integrated Building Information Model (iBIM) for Design of Reinforced Concrete Structures
(International Conference on Computing in Civil and Building Engineering (ICCCBE), 2018-06)
The architecture, Engineering and Construction (AEC) industry involve many disciplines during the life cycle of the building from its conception to its demolition. The civil engineering discipline has many domains related ...
Effects of Selected Ionic Liquids on the Vapor-Liquid-Equilibria of Water-2-Propanol System
Separation processes involving vapor and liquid phases represent a typical unit operation in most chemical industries, including distillation and absorption. A large fraction of the capital and operating costs is usually ...
Numerical Analysis for Film Cooling Performance Under Different Jet Design Criteria
Cooling gas turbine blades is a crucial technique to allow higher turbine inlet temperatures. A higher turbine inlet temperature allows boosting gas turbine efficiency, which reduces fuel consumption. One of the main cooling ...
Forecasting model to predict project success based on the contractors’ characteristics
Successful delivery of construction projects requires completing the projects on time and within budget, while ensuring the delivery of a quality product. Most construction projects experience delays, cost overruns and ...
A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data
Recent availability of very large amounts of educational data in digital format often leads to data overload where it is difficult to determine important trends and patterns beyond those provided by traditional statistical ...