Enhancing knowledge on energy saving and insulation efficiency in buildings, by analysing thermal behaviour of a realistic small scale house

ISBN: 978-1-61804-368-9International audienceWithin the framework of sustainable development, a small scale genuine materials house (1/20 scale) andsurroundings has been designed. The realisation itself has already been described in a previous paper [1]. Due to themodular structure of the design, different types of measurements ate possible, like in a real house for educationpurposes. In this paper, a study of thermal behaviour of the small scale house is presented. Steady state andtransient behaviours with different double wall insulation are compared using temperature sensors and infraredthermal imaging. Results are discussed. As these results are positive, this 1/20 model kit will be used as aneducational tool for practical work in the near future

Implementation of a feed-forward artificial neural network in VHDL on FPGA

Describing an Artificial Neural Network (ANN) using VHDL allows a further implementation of such a system on FPGA. Indeed, the principal point of using FPGA for ANNs is flexibility that gives it an advantage toward other systems like ASICS which are entirely dedicated to one unique architecture and allowance to parallel programming, which is inherent to ANN calculation system and one of their advantages. Usually FPGAs do not have unlimited logical resources integrated in a single package and this limitation forcesrequirement for optimizations for the design in order to have the best efficiency in terms of speed and resource consumption. This paper deals with the VHDL designing problems which can be encountered when trying to describe and implement such ANNs on FPGAs

Implementation of a feed-forward artificial neural network in VHDL on FPGA

Describing an Artificial Neural Network (ANN) using VHDL allows a further implementation of such a system on FPGA. Indeed, the principal point of using FPGA for ANNs is flexibility that gives it an advantage toward other systems like ASICS which are entirely dedicated to one unique architecture and allowance to parallel programming, which is inherent to ANN calculation system and one of their advantages. Usually FPGAs do not have unlimited logical resources integrated in a single package and this limitation forcesrequirement for optimizations for the design in order to have the best efficiency in terms of speed and resource consumption. This paper deals with the VHDL designing problems which can be encountered when trying to describe and implement such ANNs on FPGAs