FPGA-based architecture for the real-time computation of 2-D convolution with large kernel size

Bidimensional convolution is a low-level processing algorithm of interest in many areas, but its high computational cost constrains the size of the kernels, especially in real-time embedded systems. This paper presents a hardware architecture for the FPGA-based implementation of 2-D convolution with medium–large kernels. It is a multiplierless solution based on Distributed Arithmetic implemented using general purpose resources in FPGAs. Our proposal is modular and coefficient independent, so it remains fully flexible and customizable for any application. The architecture design includes a control unit to manage efficiently the operations at the borders of the input array. Results in terms of occupied resources and timing are reported for different configurations. We compare these results with other approaches in the state of the art to validate our approach.     

Mathematical simulation of the pyrolysis of biomass for the manufacture of synthesis gas and coke

In this work, the mathematical treatment of the pyrolysis of biomass to obtain thermal degradation parameters in the form of the independent parallel chemical decomposition reactions of the main components of raw materials (hemicellulose, cellulose, lignin, and extractive substances) was performed. The calorific values of volatile fractions and also a carbon residue were calculated. The region of optimum temperatures for the pyrolysis of organic raw materials (850?C900°C), which corresponds to the maximum heat of combustion of gases per unit weight of the initial product, was found.