In this paper, the multi-step differential transform method (MDTM), one of the most effective method, is implemented to compute an approximate solution of the system of nonlinear differential equations governing the problem. It has been attempted to show the reliability and performance of the MDTM in comparison with the numerical method (fourth-order Runge–Kutta) and other analytical methods su...

There has recently been a great demand for the artificial teeth prostheses that are made of materials sintered at 1500 8C, such as zirconia ceramic. It is, however, very difficult for dental technicians to manually fabricate the prostheses with such materials since their degree of strength is very high. For that reason, the prostheses of strong materials have been fabricated by using computer n...

Support Vector Domain Description (SVDD) is an effective method for describing a set of objects. As a basic tool, several application-oriented extensions have been developed, such as support vector clustering (SVC), SVDD-based k-Means (SVDDk-Means) and support vector based algorithm for clustering data streams (SVStream). Despite its significant success, one inherent drawback is that the descri...

Conventional holonomic or nonholonomic constraints are defined as geometric constraints in this paper. If the total energy of a dynamic system can be computed from the initial energy plus the time integral of the energy input rate due to external or internal forces, then the total energy can be artificially treated as a constraint. The violation of the total energy constraint due to numerical e...

Triple-correlation-based representations of images have recently been combined with neural network architectures to derive invariant, with respect to translation, rotation and dilation, robust classification of images. Multiresolution image analysis is used in this paper to reduce the size of these representations in an optimal way, based on autoassociative linear networks. Hierarchical neural ...

Classifier chains are popular and effective method to tackle a multi-label classification problem. The aim of this paper is to study the asymptotic properties of the chain model in which the conditional probabilities are of the logistic form. In particular we find conditions on the number of labels and the distribution of feature vector under which the estimated mode of the joint distribution o...

The Adomian Decomposition Method (ADM) is employed in this paper to investigate the free vibrations of the uniform cracked Euler-Bernoulli beams. The proposed ADM method can be used to analyze the vibration of beams consisting of an arbitrary number of cracks through a recursive way. Based on the ADM and employing some simple mathematical operations, the natural frequencies and the correspondin...

Signature is one of the important method of individual authentication and identification. Signatures. A variety of techniques have been proposed for signature identification in the past. Handwritten signatures are one of the most and effective method of authenticating an individual’s identity. Lot of research is going on for signature recognition. In this paper we have used image processing tec...

In this correspondence, we consider the sampled-data filtering problem by proposing a new performance criterion in terms of the estimation error covariance. An innovation approach to sampled-data filtering is presented. First, the definition of the estimation covariance for a sampled-data system is given, then the sampled-data filtering problem is reduced to the Kalman filter design problem for...

A number of pattern recognition tasks, e.g., face verification, can be boiled down to classification or clustering of unit length directional feature vectors whose distance can be simply computed by their angle. In this paper, we propose the von Mises-Fisher (vMF) mixture model as the theoretical foundation for an effective deep-learning of such directional features and derive a novel vMF Mixtu...