The speed of ultrasonic motor of piezo-electric type is usually measured using mechanical sensors such as pulse encoders. However, these sensors are costly and bulky. In this paper, a numerical speed estimation approach of a piezo-electric motor (PEM) is implemented using multilayer perception neural network (MLP-NN). The proposed model evaluates rotational speed and load torque based on the am...

Information on the applied pressure is critical to the pressure garment treatment. The use of the passive resonance sensors would be significant improvement to existing systems. These sensors have nonlinear response and thus require nonlinear regression methods. In this paper we compare three nonlinear modelling methods: Sugeno type fuzzy inference system, support vector regression and multilay...

This paper reviews various optimization techniques available for training multi-layer perception (MLP) artificial neural networks for compression of images. These optimization techniques can be classified into two categories: Derivative-based and Derivative free optimization. The former is based on the calculation of gradient and includes Gradient Descent, Conjugate gradient, Quasi-Newton, Leve...

This paper describes a prototype scanning system that can automatically identify several important defects on rough hardwood lumber. The scanning system utilizes 3 laser sources and an embedded-processor camera to capture and analyze profile and gray-scale images. The modular approach combines the detection of wane (the curved sides of a board, possibly containing residual bark) with classifica...

In this paper we propose “sound visualization” which provides a learning process for listeners considered as perceptual systems to perceive “character-related” sounds in a virtual 3D acoustic space. “Character-related” sound represents the most appropriate sound event to be perceived (“read”) even by the visually impaired. The test data (characters) used in our experiments were segmented from d...

CoFe/Cu multilayer nanowires were electrodeposited into anodic aluminum oxide templates prepared by a two-step mild anodization method, using the single-bath technique. Nanowires with 30 nm diameter and the definite lengths were obtained. The effect of CoFe layers thickness and annealing on the magnetic behavior of the multilayer nanowires was investigated. The layers thickness was controlled t...

The ability to foresee hazards early plays a critical role in estimating the entire cost of project. Although several studies have established models predict total project at conceptual stage, there remains research vacuum measuring overall risk this stage. Using artificial neural networks, provides strategy for residential projects There are eight important components suggested paradigm. model...

accumulative roll bonding (arb) was used to fabricate the cu-zn multilayer and cu-zn solid solution. a lamellar structure with the hardness of about 130 vhn was formed after eight arb cycles. following to the suitable heat treatment, a solid solution with a uniform microstructure and hardness of about 57 vhn was produced. the dominant wear mechanism in the arb processed multilayer was found to ...

Multilayer networks are a useful way to capture and model multiple, binary relationships among a fixed group of objects. While community detection has proven to be a useful exploratory technique for the analysis of single-layer networks, the development of community detection methods for multilayer networks is still in its infancy. We propose and investigate a procedure, called Multilayer Extra...

The evaporation duct height (EDH) can reflect the main characteristics of near-surface meteorological environment, which is essential for designing a communication system under this propagation mechanism. This study proposes an EDH prediction network with multi-layer perception (MLP). Further, we construct multi-dimensional model (multilayer-MLP-EDH) first time by adding spatial and temporal “e...