In this study, colorimetric calibration of scanner has been done via perceptron neural network with three or four layers by back propagation algorithm for colored polyester fabrics. The results obtained for random training samples are not satisfactory but application of selective training samples for L*a*b* or RGB leads to good results, with better results obtained for the L*a*b* method. On the...

Finding suitable jobs for US Navy sailors periodically is an important and everchanging process. An Intelligent Distribution Agent (IDA) and particularly its constraint satisfaction module take up the challenge to automate the process. The constraint satisfaction module's main task is to provide the bulk of the decision making process in assigning sailors to new jobs in order to maximize Navy a...

Abstract Hybrid engines are becoming more and widespread. Electric energy instead is a valid help to reduce the environmental impact. In hybrid engines, number of components higher this results in decrease reliability. With Engine Health Monitoring (EHM) we mean set techniques used monitor health status system based on values assumed by some related parameters. Artificial Intelligence (AI) meth...

Typical computer-based parameter optimization and uncertainty quantification of the additive manufacturing process usually requires significant computational cost for performing high-fidelity heat transfer finite element (FE) models with different settings. This work develops a simple surrogate model using feedforward neural network (FFNN) fast accurate prediction temperature evolutions melting...

At present, polyhydroxyalkanoates (PHAs) have been considered as a promising alternative to conventional plastics due to their diverse variability in structure and rapid biodegradation. To ensure cost competitiveness in the market, thermoseparating aqueous two-phase extraction (ATPE) with the advantages of being mild and environmental-friendly was suggested as the primary isolation and purifica...

A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in the mammogram: hence the need for tools able to recognize such lesions at an early stage. Our collaboration, among italian physicists and radiologists, has built a large distributed database of digitized mammographic images and has developed a Computer Aided Detection (CADe) system for the automatic...

In this paper, we have designed and developed a technique for burning area identification using Intensity Hue Saturation (IHS) transformation and image segmentation. The process of identifying the burnt area in proposed technique consists of four steps such as: IHS transformation, object segmentation, identification of smoke area using Feed-Forward Neural Network (FFNN) and discovering burning ...

As we all know, power quality (PQ) issues are a major concern these days. Field programmable gate array (FPGA) essential in PQ analysis, particularly smart meters for data processing, storage, and transmission. One of the most significant advantages FPGA is its reconfigurability, with vast hardware resources that can be used to implement complex as well time-critical processing units. Because a...