different methods arising from scientific investigation for removing noise from chaotic signals have been introduced and one of their best is local projection approach. the local projection approach projects the chaotic data in the neighborhood onto the hyper-plane. selection of neighborhood radius has a direct impact on its performance. a noticeable feature associated with chaotic trajectories...

introduction: monte carlo (mc) is the most common method for simulating virtual spect projections. it is useful for optimizing procedures, evaluating correction algorithms and more recently image reconstruction as a forward projector in iterative algorithms; however, the main drawback of mc is its long run time. we introduced a model based method considering the effect of body attenuation and i...

This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time processing and response. The original formulation of MOVICAB-IDS combines different Computational Intelligence techniques within a multiagent system to perform Intrusion Detection in dynamic computer networks. This work extends the ...

We show a new method for face recognition which combines the projection of structures with different characteristics (fringes, bars or grids, dots or speckle) over the face. These projections will then allow the creation of a computer-generated moiré pattern over which different kinds of fractal and complex geometry parameters are then measured. Such parameters will then be used as inputs for a...

The purpose of this paper is to propose a modified hybrid projection algorithm and prove a strong convergence theorem for a family of quasi-φ-nonexpansive mappings. The strong convergence theorem is proven in the more general reflexive, strictly convex, and smooth Banach spaces with the property K . The results of this paper improve and extend the results of S. Matsushita and W. Takahashi 2005 ...

The purpose of this paper is to introduce a new hybrid projection algorithm for finding a common element of the set of solutions of the equilibrium problem and the set of the variational inequality for an inverse-stronglymonotone operator and the set of fixed points of relatively quasinonexpansive mappings in a Banach space. Then we show a strong convergence theorem. Using this result, we obtai...

The purpose of this paper is to introduce and investigate a more generalized hybrid shrinking projection algorithm for finding a common solution for a system of generalized mixed equilibrium problems. A accelerated strong convergence theorem of common solutions is established in the framework of a non-uniformly convex Banach space. These new results improve and extend the previously known ones ...

We discuss the recently proposed Hybrid Backprojection/Lower-Value (HBLV) algorithm and its implementation in the NMR projection-reconstruction software PR-CALC. We argue that the HBLV reconstruction is only suitable for spectra that have no negative peaks. However, in such cases HBLV becomes a straight-forward generalization of the Lower-Value reconstruction algorithm and boils down to a simpl...

A technique for adaptive conjugate smoothing of discontinuous fields is presented in the paper. The described technique is applicable in various engineering problems and is especially effective when hybrid numerical – experimental methodologies are used. Adaptive image smoothing and stretching strategy is illustrated for a discontinuous plain stress field problem when photoelastic fringes repre...