Lower- and higher-order wave-front aberrations of soft contact lenses were accurately measured with a Shack-Hartmann wave-front sensor. The soft contact lenses were placed in a wet cell filled with lens solution to prevent surface deformation and desiccation during measurements. Aberration measurements of conventional toric and multifocal soft contact lenses and a customized soft contact lens h...

This work proposes a novel approach to Soft Sensor modelling, where the Soft Sensor is built by a set of experts which are artificial neural networks with randomly generated topology. For each of the experts a meta neural network is trained, the gating Artificial Neural Network. The role of the gating network is to learn the performance of the experts in dependency on the input data samples. Th...

This work investigates the industrial production of styrene-butadiene rubber in a continuous reactor train, and proposes a soft sensor for online monitoring of several processes and polymer quality variables in each reactor. The soft sensor includes two independent artificial neural networks (ANN). ThefirstANNestimatesmonomer conversion, solid content, polymer production, average particle diame...

In Waste-Water Treatment Plant (WWTP) automation, “soft” sensors might be used in conjunction with “hard” sensors to improve the reliability of the measurements, or even to replace the latter when they would be too expensive or difficult to maintain. Unfortunately, many soft sensors are created using black-box data mining techniques such as neural networks or Bayesian networks. These algorithms...

There has been an increased use of soft-sensors in process industry in recent years. These soft-sensors are computer programs that are used as a relatively cheap alternative to hardware sensors. Since process variables, which are concerned with final product quality, cannot always be measured by hardware sensors, designing the appropriate soft-sensor can be an interesting solution. Additionally...

Based on the soft sensor techniques, five external factors that affect the cane sugar crystallization process are used as auxiliary variables, i.e., the syrup Brix and temperature, vacuum, steam pressure and feed flow, while the sucrose supersaturation is considered as the key variable. Then a soft sensor method for the sucrose supersaturation is developed based on kernel partial least squares....

Soft-sensing or inferential estimation has long been considered a potent tool to deiil with the conflict between small control interval itntl large sampling interval existing in a wide variety of industrial processes. To extend the soft-sensing from linear system to nonlinear case, we propose it nonlinear soft-sensor on the basis of multi-step predication using recurrent neural network and a no...

This paper presents powerful techniques for the development of a new monitoring method based on multi-scale entropy (MSE) in order to characterize the behaviour of the concentrations of different gases present in the synthesis of Ammonia and soft-sensor based on Principal Component Analysis (PCA). Keywords—Ammonia synthesis, concentrations of different gases, soft sensor, multi-scale entropy, m...

The cross-sectional geometry of an embedded microchannel influences the electromechanical response of a soft microfluidic sensor to applied surface pressure. When a pressure is exerted on the surface of the sensor deforming the soft structure, the cross-sectional area of the embedded channel filled with a conductive fluid decreases, increasing the channel’s electrical resistance. This electrome...