The aim of this study is to show that the measures derived from Electrocardiogram (ECG) signals many a time perform better than the same measures obtained from heart rate (HR) signals. A comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ECG signals and HR signals, and thereby discriminate between normal and cong...

In this paper the operation of multiple reservoirs by the utilization of analysis method of the system dynamics is considering and this analysis method is based on the feedback and object oriented events. The goal of this research is presentation of a new method by utilization of system dynamicity technique for simulation of the reservoir. This software is a product of Ventana Company and the e...

Economists believe that the development of the industry sector is for the benefit of other sectors of the economy. In 23 groups of industrial activity in classification ISIC, the production and export of wood industries have received less attention in developing countries. exports of wood products have a major impact on the GDP and provide employment and sustainable development of natural resou...

in this paper, we have proposed a study on controllability and optimal harvestingof a prey predator model and mathematical non linear formation of the equation equilibriumpoint of routh harvest stability analysis. the problem of determining the optimal harvestpolicy is solved by invoking pontryagin0s maximum principle dynamic optimization of theharvest policy is studied by taking the combined h...

spike sorting is a class of techniques used in the analysis of electrophysiological data. studying the dynamics of neural activity via electrical recording relies on the ability to detect and sort neural spikes recorded from a number of neurons by the same electrode. this article reviews methods for detecting and classifying action potentials, a problem commonly referred to as spike sorting.

monte carlo simulation is a standard technique for project risk analysis. however, some assumptions of this technique are not reasonable in real world. when a project falls behind the schedule, managers take actions to improve the performance. nevertheless, most of the simulation models as monte carlo omit these reactions in their analysis, which results in unreasonable wide distributions or ev...

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