We describe a method for investigating nonlinearity in irregular fluctuations (short-term variability) of time series even if the data exhibit long-term trends (periodicities). Such situations are theoretically incompatible with the assumption of previously proposed methods. The null hypothesis addressed by our algorithm is that irregular fluctuations are generated by a stationary linear system...

We describe a method for identifying correlation structures in irregular fluctuations (short-term variabilities) of multivariate time series, even if they exhibit long-term trends. This method is based on the previously proposed small shuffle surrogate method. The null hypothesis addressed by this method is that there is no short-term correlation structure among data or that the irregular fluct...

Interconnection networks with irregular topologies (or irregular networks) are ideal communication subsystems for workstation clusters owing to their incremental scalability. While many deadlock-free routing schemes have been proposed for regular networks such as mesh, torus, and hypercube, they cannot be applied in irregular networks. This paper presents a cost-effective routing architecture, ...

Two three-dimensional systems are considered, which have solutions with irregular behavior, tending to attractors. The comparison and comparative analysis made

We present a volumetric method that can e ciently create triangular meshes from D geometric data This data can be presented in the form of im ages pro les or unordered points The mesh model can be created at di erent resolutions and can also be closed to make a true volumetric model

This paper describes the use of a previously developed surface model for representing 3D geometric information that is subject to uncertainty. The proposed model is based on a geometric data fusion technique that allows the efficient approximation of arbitrary triangular meshes in space with smooth surfaces. This paper shows how the shape modifiers defined in that model can be used to represent...

330 Abstract-This paper reviews the previously available methods to estimate the curvatures, both discrete and continuous for triangulated surface. Many applications such as surface segmentation, surface smoothing, surface reconstruction, and registration require the accurate estimation of curvature at the vertices of the triangulated surface. For the estimation of the curvature, several differ...

This paper presents a novel approach for detecting ridge-ravine lines on dense triangular meshes. We first retile the original mesh into to a simplified domain mesh. An arbitrary smooth parametric surface is constructed defined on the domain mesh. Ridges and ravines are then accurately and efficiently computed and detected using the smooth parameteric function. Our approach treats shape noise b...