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a r t i c l e i n f o Keywords: BIM BIM-server Multidisciplinary collaboration Operational technical requirements Support technical requirements Most complex projects in the Architecture, Engineering, and Construction (AEC) industries involve multidisciplinary collaboration and the exchange of large building data set. Traditionally, the collaboration(More)
This paper studies how learning through opinion leaders and social networks influences demand for non-traditional cookstoves – a technology with important health and environmental consequences in low-income countries. Specifically, we conduct field experiments in rural Bangladesh to assess how (1) learning the stove adoption choices of locally-identified "(More)
Game theoretic models of marketing channels typically rely on simplifying assumptions that, from a behavioral perspective, often appear naïve. However, behavioral researchers have produced such an abundance of behavioral regularities that they are impossible to incorporate into game theoretic models. We believe that a focus on three core findings would(More)
The aim of this work is to analyze the behavior of errors associated with a commercial grade Global Positioning Sensor (GPS receiver) and thereafter, to characterize the error pattern of the sensor based on a mathematical analytic model. The measurement errors associated with a GPS receiver are generally perceived to be random. Thus for manual(More)
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Introduction The Internet is an electronically connected global communication system. In the 1960's, Marshall McLuhan predicted that we would move away from individual nation states and become a global village because of an " electric technology " (McLuhan, 1964 p. 317). He was speaking in reference to television. But Byrnjolfsson & Van Alstyne (2005, p.(More)
In this Letter, the authors present a unified framework for fall event detection and classification using the cumulants extracted from the acceleration (ACC) signals acquired using a single waist-mounted triaxial accelerometer. The main objective of this Letter is to find suitable representative cumulants and classifiers in effectively detecting and(More)
Iterative rule learning is a common strategy for fuzzy rule induction using stochas-tic population-based algorithms (SPBAs) such as Ant Colony Optimisation and genetic algorithms. Several SPBAs are run in succession with the result of each being a rule added to an emerging final ruleset. Between SPBA runs, cases in the training set that are covered by the(More)