Resistive switching offers a promising route to universal electronic memory, potentially replacing current technologies that are approaching their fundamental limits. In many cases switching originates from the reversible formation and dissolution of nanometre-scale conductive filaments, which constrain the motion of electrons, leading to the quantisation of device conductance into multiples of...

Most colour image printing and display devices do not have the capacity to deal with true-colours. To display the image anyway, they need to apply a quantisation method to reduce the number of colours present into the image. The research of this article is directed towards the study of a special kind of quantisation methods known as dithering techniques. Several quantisation techniques already ...

Visual concept detection is one of the most important tasks in image and video indexing. This paper describes our system in the ImageCLEF Visual Concept Detection Task 2010 which ranked first for large-scale visual concept detection tasks in terms of Equal Error Rate (EER) and Area under Curve (AUC) and ranked third in terms of ontology measure. The presented approach involves state-of-the-art ...

The self-organizing map (SOM) is a tool which combines the task of vector quantisation with a topologically ordered representation of the training vectors. The topological order is obtained by an adaptation of the winner and its neighbours towards the input vector and leads to several eeects, which reduce the approximation quality. Topology and approximation seem to be contradictory. This is li...

A discussion is given of the quantisation of a physical system with finite degrees of freedom subject to a Hamiltonian constraint by treating time as a constrained classical variable interacting with an unconstrained quantum state. This leads to a quantisation scheme that yields a Schrödinger-type equation which is in general nonlinear in evolution. Nevertheless it is compatible with the probab...

A discussion is given of the quantisation of a physical system with finite degrees of freedom subject to a Hamiltonian constraint by treating time as a constrained classical variable interacting with an unconstrained quantum state. This leads to a quantisation scheme that yields a Schrödinger-type equation which is in general nonlinear in evolution. Nevertheless it is compatible with the probab...

Abstract This paper aims to develop an effective sensor fusion model for turning processes the detection of tool wear. Fusion sensors’ data combined with novelty algorithm and learning vector quantisation (LVQ) neural networks is used detect wear present diagnostic prognostic information. To reduce number sensors required in monitoring system support fusion, ASPS approach (Automated Sensor Sign...

6 We present in this paper a variation of the self-organising map algorithm where the original 7 time-dependent (learning rate and neighbourhood) learning function is replaced by a time8 invariant one. This allows for on-line and continuous learning on both static and dynamic 9 data distributions. One of the property of the newly proposed algorithm is that it does 10 not fit the magnification l...

6 We present in this paper a variation of the self-organising map algorithm where the original 7 time-dependent (learning rate and neighbourhood) learning function is replaced by a time8 invariant one. This allows for on-line and continuous learning on both static and dynamic 9 data distributions. One of the property of the newly proposed algorithm is that it does 10 not fit the magnification l...

The discrete cosine transform (DCT) has been shown as an optimum encoder for sharp edges in an image (Andrew and Ogunbona, 1997). A conventional lossless coder employing differential pulse code modulation (DPCM) suffers from significant deficiencies in regions of discontinuity, because the simple model cannot capture the edge information. This problem can be partially solved by partitioning the...