This study explored the effects of gender and aging on the complexity of cardiac pacemaker activity. Electrocardiogram signals were studied in normal women (n = 240) and men (n = 240) ranging in age from 40 to 79 yr. Nonlinear analysis of short-term resting R-R intervals was performed using the correlation dimension (CD), approximate entropy (ApEn), and largest Lyapunov exponent (LLE). Evidence...

Abstract The key for improving the mixing efficiency of pseudoplastic fluids is to enhance chaotic degree in flow field. xanthan gum solution was used study characteristics and performance a stirred tank with impeller perturbed six-bent-bladed turbine. Based on velocity time series collected by experiment particle image velocimetry (PIV), distributions largest Lyapunov exponent (LLE) Kolmogorov...

In this paper an analysis of locally linear embedding (LLE) in the context of clustering is developed. As LLE conserves the local affine coordinates of points shape protrusions as high-curvature regions of the surface are also preserved, while the covariance constraint acts as a force stretching those protrusions and making them wider separated and lower dimensional. A novel scheme for unsuperv...

The purpose of this paper is to propose a hybrid model which combines locally linear embedding (LLE) algorithm and support vector machines (SVM) to predict the failure of firms based on past financial performance data. By making use of the LLE algorithm to perform dimension reduction for feature extraction, is then utilized as a preprocessor to improve business failure prediction capability by ...

Manifold learning approaches such as locally linear embedding algorithm (LLE) and isometric mapping (Isomap) algorithm are aimed to discover the intrinsical low dimensional variables from high-dimensional nonlinear data. While, in order to achieve effective recognition tasks based on manifold learning, many problems remain to be solved. In this paper, we propose unified algorithm based on LLE a...

In the past decade there has been a resurgence of interest in nonlinear dimension reduction. Among new proposals are “Local Linear Embedding” (LLE, Roweis and Saul 2000), “Isomap” (Tenenbaum et al. 2000) and Kernel PCA (KPCA, Schölkopf, Smola and Müller 1998), which all construct global lowdimensional embeddings from local affine or metric information. We introduce a competing method called “Lo...

We measured the pulse waves of 196 mentally ill patients and 113 healthy students. Using heartbeat changes, we calculated the values of their sympathetic nerves, parasympathetic nerves, and autonomic nerve balance. In addition, we calculated the largest Lyapunov exponents (LLE) by non-linear analysis of plethysmograms. Values were analyzed by group. The results revealed a significant relationsh...

This paper presents an application of multivariate state estimation technique (MSET), sequential probability ratio test (SPRT) and kernel regression for low speed slew bearing condition monitoring and prognosis. The method is applied in two steps. Step (1) is the detection of the incipient slew bearing defect. In this step, combined MSET and SPRT is used with circular-domain kurtosis, time-doma...

This paper presents a radar target recognition method using kernel locally linear embedding (KLLE) and a kernel-based nonlinear representative and discriminative (KNRD) classifier. Locally linear embedding (LLE) is one of the representative manifold learning algorithms for dimensionality reduction. In this paper, LLE is extended by using kernel technique, which gives rises to the KLLE algorithm...

It is worth noting that laurel (Laurus nobilis L.) contains several pharmacologically and nutritionally active compounds may differ according to the pretreatment process. The current study designed clarify effect of moist heat on phenolic flavonoid constituents anti-Helicobacter pylori, antioxidant, antidiabetic, anti-Alzheimer’s activities leaf extract (LLE). Unmoist-heated (UMH) moist-heated ...