Multiprocessor systems on chips (MPSoCs) are envisioned as the future of embedded platforms such as game-engines, smartphones and palmtop computers. One of the main challenge preventing the widespread diffusion of these systems is the efficient mapping of multitask multimedia applications on processing elements. Dynamic solutions based on task migration has been recently explored to perform run...

Physical properties of fruits and vegetables are the subject of many researches because of its importance in designing of agricultural machinery. Banana fruit is one of important fruit. In this study some physical properties of banana fruit (Cavendish variety) were determined. Properties which were measured included weight of whole fruit peel and pulp weight, dimensions, surface area and projec...

physical characteristics of agricultural products are the most needed parameters in the design of grading, handling, processing and packing systems. among physical characteristics; dimensions, mass, volume, projected area as well as surface area are the important factors in sizing systems. for an assessment of morphological and physical characters in walnut, four genotypes of sizable kernels, l...

the increasing diversity in packet-processing applications together with the rapid increase in channel bandwidth has brought about greater complexity in communication protocols. also influenced by these factors is the computational load for packet-processing engines, demanding high performance microprocessor designs as an indispensable solution. this paper reports on extensive simulation experi...

An image processing methodology for the extraction of potato properties is explained. The objective is to determine their quality evaluating physical properties and using Artificial Neural Networks (ANN’s) to find misshapen potatoes. A comparative analysis for three connectionist models (Backpropagation, Perceptron and FuzzyARTMAP), evaluating speed and stability for classifying extracted prope...

Feature extraction is an approach to visualization that extracts important regions or objects of interest algorithmically from large data sets. In our feature extraction process, high-level attributes are calculated for the features, thus resulting in averaged quantitative measures. The usability of these measures depends on their robustness with noise and their dependency on parameters like th...