background : kernel smoothing method is a non-parametric or graphical method for statistical estimation. in the present study was used a kernel smoothing method for finding the death hazard rates of patients with acute myocardial infarction. methods : by employing non-parametric regression methods, the curve estimation, may have some complexity.  in this article, four indices of epanechnikov, b...

kinematic synthesis of a trailing six-member mechanism has been carried out to achieve five precision points of an automotive steering mechanism. the inner wheel can be rotated up to forty five degrees with fair accuracy. results show that the divergent end behavior of ackermann steering mechanism has been overcome by the present mechanism. the work is similar to earlier work by the present aut...

Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...

We present a software prototype for fluid flow problems in civil engineering, which combines essential features of Computational Steering approaches with efficient methods for model transfer and high performance computing. The main components of the system are described:-The modeler with a focus on the data management of the product model-The pre-processing and the post-processing toolkit-The s...

The paper deals with image denoising with a new approach towards obtaining high quality denoised image patches using only a single image. A learning technique is proposed to obtain highly correlated image patches through sparse representation, which are then subjected to matrix completion to obtain high quality image patches. this paper show a framework for denoising by learning an appropriate ...

We present a steering algorithm for general nonholonomic systems which are not required to possess special properties such as flatness or exact nilpotentizability. The method makes use of local steering laws, with suitable contraction properties, designed on the basis of a continuous approximation of the system.

We propose a multiple-kernel local-patch descriptor based on efficient match kernels of patch gradients. It combines two parametrizations of gradient position and direction, each parametrization provides robustness to a different type of patch miss-registration: polar parametrization for noise in the patch dominant orientation detection, Cartesian for imprecise location of the feature point. Ev...

Quantum steering in a global state allows an observer to remotely steer subsystem into different ensembles by performing local measurements on the other part. We show that, general, this property cannot be perfectly cloned any joint operation between steered and third system. Perfect cloning is viable if only initial of zero discord. also investigate process qubit Bell using universal machine. ...