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The objective of this research is to investigate air flow distribution inside a light weight test room which is naturally ventilated using artificial neural networks. The test room is situated in a relatively sheltered location and is ventilated through adjustable louvres. Indoor air temperature and velocity are measured at four locations and six different levels. The outside local temperature, relative humidity, wind velocity and direction are also monitored. The collected data are used to...
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This paper considers the estimation of Cobb-Douglas production functions using panel data covering a large sample of companies observed for a small number of time periods. GMM estimatorshave been found to produce large finite-sample biases when using the standard first-differenced estimator. These biases can be dramatically reduced by exploiting reasonable stationarity restrictions on the initial conditions process. Using data for a panel of R&Dperforming US manufacturing companies we find...
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First study of how daylighting in elementary school classrooms is associated with improved test scores. Includes analysis from over 9000 student records in three school districts.
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A prototype software tool integrating knowledge-base and database approaches is developed to solve lighting-retrofit problems for energy conservation and management purposes. Founded on the types of problems and the conceptual differences between conventional programming and knowledge-based expert systems, it is felt that a system which combines both approaches is best for solving lighting-retrofit problems. The architecture of the system is built on the concept of knowledge-based expert...
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