This paper proposes a location sensing model based on passive RFID systems. The proposed model is useful for identifying the location of moving nodes relative to existing anchor nodes, i.e. nodes with known coordinates, which has applications in logistics, yard and warehouse management. The study explores algorithms for estimating location coordinates. These algorithms are much simpler to imple...

In this paper we propose a new method for image retrieval with relevance feedback based on eliciting preferences from the decision-maker acquiring visual information from an image database. The proposed extension of the common approach to image retrieval with relevance feedback allows it to be applied to objects with non-homogenous colour and texture. This has been accomplished by the algorithm...

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

content explosion. Users can tag resources to describe and organize them. Tag clouds provide rough impression of relative importance of each tag within overall cloud in order to facilitate browsing among numerous tags and resources. The goal of our paper is to enrich visualization of tag clouds. A font distribution algorithm has been proposed to calculate a novel metric based on frequency and c...

We introduce a mechanism for improving the result of elastic registration for simultaneously acquired low-contrast fluorescent microscopy images. B-spline basis functions are commonly used for modelling nonrigid image deformations. We present a novel approach that improves the result of B-spline based registration process. This approach monitors the behaviour of local similarity measure values ...

Recently, Ott, Grebogi and Yorke (OGY) [6] found an effective method to control chaotic systems to unstable fixed points by using only small control forces; however, OGY's method is based on and limited to a linear theory and requires considerable knowledge of the dynamics of the system to be controlled. In this paper we use two radial basis function networks: one as a model of an unknown plant...

The present work documents the design and implementation of a wavelet-based excitation algorithm for low sample-rate audio files. This algorithm is an analysis/resynthesis method which converts a low sample-rate audio file to a higher sample-rate audio file, while inserting high frequency content in the wavelet domain. This paper presents relevant wavelet theory, along with the theory of the ex...

Abstract In this article, a greedy reduced basis algorithm is proposed for the solution of structural acoustic systems with parameter and implicit frequency dependence. The underlying equations linear time‐harmonic elastodynamics acoustics are discretized using finite element boundary method, respectively. within domain determined by combination vectors. This generated iteratively given respons...

This article presents a Radial Basis Neural Network (RBNN) based islanding detection technique. Islanding detection and prevention is a mandatory requirement for grid-connected distributed generation (DG) systems. Several methods based on passive and active detection scheme have been proposed. While passive schemes have a large non detection zone (NDZ), concern has been raised on active method ...