This paper investigates simplifying the classification technique of an optical fibre sensor based system designed for the online quality control of food being cooked in a large-scale industrial oven by monitoring the product as it cooks. The system measures the colour of the food product as it cooks by examining the reflected visible light from the surface as well as in the core of the product....

A novel gray-box neural network model (GBNNM), including multi-layer perception (MLP) neural network (NN) and integrators, is proposed for a model identification and fault estimation (MIFE) scheme. With the GBNNM, both the nonlinearity and dynamics of a class of nonlinear dynamic systems can be approximated. Unlike previous NN-based model identification methods, the GBNNM directly inherits syst...

Abstract Model order reduction (MOR) methods enable the generation of real-time-capable digital twins, with potential to unlock various novel value streams in industry. While traditional projection-based are robust and accurate for linear problems, incorporating machine learning deal nonlinearity becomes a new choice reducing complex problems. These kinds independent numerical solver full model...

Extraction optimization, characterization and antioxidant activity in vitro of polysaccharides from mulberry leaves (MLP) were investigated in the present study. The optimal extraction conditions with an extraction yield of 10.0 ± 0.5% for MLP were determined as follows: extraction temperature 92 °C, extraction time 3.5h and ratio (v/w, mL/g) of extraction solvent (water) to raw material 34. Tw...

Inspired by both the multilayer perceptron (MLP) and wavelet decomposition, Zhang and Benveniste proposed the wavelet MLP (W-MLP), which has been usedfor time series prediction. The wavelet packet MLP (WP-MLP) is an MLP with the wavelet packet as a feature extraction method to obtain time-frequency information. The WPMLP has been successfully applied to biomedical, image and speech classificati...

With the rapid growth of digital technology communications are overwhelmed by network data traffic. The demand for internet is growing every day in today's cyber world, raising concerns about security. Big Data a term that describes vast volume complicated critical evaluating patterns and determining what has occurred network. Therefore, detecting attacks large challenging. Intrusion detection ...

In the modern induction motor (IM) drive system, fault-tolerant control (FTC) solution is becoming more and popular. This approach significantly increases security of system. To choose best strategy, fault detection (FD) classification (FC) methods are required. Current sensors (CS) one measuring devices that can be damaged, which in case system with IM precludes correct operation vector struct...