A neurocomputational model is presented for gure-ground discrimination by relative motion. In the model, the correlation type of elementary motion detectors (EMDs), an oscillatory neural network for motion perception and a selective attention module are involved. It is shown that through the oscillatory amplitude and frequency encoding and selective synchronization of phase oscillators, a perfe...

In this paper we investigate the possibility of processing the tactile perception by using a novel biomimetic approach for the pattern recognition module. The goal is to enhance the perception in complex virtual environments deriving from haptic displays mimicking human tactile discrimination. To do this we explored a Minimally Invasive Surgery application where the tactile information are stri...

The recent advances in computer technology many recognition task have been automated. OCR, Optical Character Recognition is a scheme of converting the images of typewritten or printed text into a format that is understood by machine. The goal of OCR is to classify the given character data represented by some characteristics, into a predefined finite number of character classes. For the recognit...

In this paper a novel the artificial neural networks are used for both residual generation and residual analysis for fault diagnosis of robust manipulators. A Multilayer Perception (MLP) is employed to reproduce the dynamics of the robotic manipulator. Its outputs are compared with actual position and velocity measurements, generating the so-called residual vector. The residuals, when properly ...

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...

In the field of automatic control system design, adaptive inverse is a powerful control technique. It identifies the system model and controls automatically without having prior knowledge about the dynamics of plant. In this paper neural network based adaptive inverse controller is proposed to control a MIMO system. Multi layer perception and back propagation are combinedly used in this investi...

Dielectric Elastomer Actuators In article number 2213589, Kilwon Cho and co-workers report a flexible skin-mountable vibrotactile-stimulator based on thin lateral dielectric elastomer actuators. The actuator shows significant actuation at low operating voltage because of laterally aligned multilayer structure with short distance soft elastomer/ionic liquid composite. covers broad perception fre...

Real-world data containing instances corresponding to patients with otoneurological diseases were explored with fuzzy IFTHEN rule induction. It was based on transformation of a fuzzy decision tree made with using cumulative information estimations as the locally optimal criterion at its nodes. This method uses linguistic variables that allow us to naturally model various situations appearing in...

Thai part of speech (POS) tagging is a challenged problem in natural language processing. Many techniques including artificial neural network techniques are suggested for POS tagging. Research works in Thai POS tagging so far only focused on assigning word types, but not word features. This paper proposed a technique using multilayer perception for tagging word features in Thai sentences. The f...