in this paper semi-markov models are used to forecast the triple dimensions of next earthquake occurrences. each earthquake can be investigated in three dimensions including temporal, spatial and magnitude. semi-markov models can be used for earthquake forecasting in each arbitrary area and each area can be divided into several zones. in semi-markov models each zone can be considered as a state...

We provide an overview of a novel MATLAB based Hardware-Software design flow that has been applied to the design of a platform based SoC for the HiperLAN/2 and IEEE 802.11a wideband wireless communication standards. Starting from a high-level algorithmic description, the MATLAB environment serves as a “golden model” and universal, cycle-true testbench for the embedded hardware and software impl...

background: routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence. we aimed at using a hidden markov model in order to detect the abnormal states of pulmonary tuberculosis in iran. methods: data for this study were the weekly number of newly diagnosed cases with sputum smear-positive p...

Abstract An explicit cosimulation scheme is developed to study the coupling of smooth and nonsmooth systems using kinematic constraints. Using force-displacement decomposition, constraints are formulated at velocity level, preserve consistency with impulse-momentum equations for frictional contacts in solver, which however potentially leads instability cosimulation. To improve stability without...

A common method to study the dynamic behavior of macroeconomic variables is using linear time series models; however, they are unable to explain nonlinear behavior of the series. Given the dependency between stock market and derivatives, the behavior of the underlying asset price can be modeled using Markov switching process properties and the economic regime significance. In this paper, a two-...

growing amount of information on biological sequences has made application of statistical approaches necessary for modeling and estimation of their functions. in this paper, sensitivity and specificity of the first and second markov chains for prediction of genes was evaluated using the complete double stranded  dna virus. there were two approaches for prediction of each markov model parameter,...

a wind farm is a collection of wind turbines built in an area to provide electricity. wind power is a renewable energy resource and an alternative to non-renewable fossil fuels. in this paper impact of wind farms in power system reliability is investigate and a new procedure for reliability assessment of wind farms in hl1 level is proposed. in proposed procedure, application of fuzzy – markov f...

Nowadays, industries are implementing heterogeneous systems from different domains, backgrounds, and operating systems. Manufacturing becoming more complex, which forces engineers to manage the complexity in several aspects. Technical complexities bring interoperability, risk management, hazards issues that must be taken into consideration, business model design technical implementation. To sol...

Verification is a major bottleneck in today’s design flow. As the functional verification is time consuming, it is constantly being reconsidered. We propose a new verification framework based on the SystemC verification standard that uses MATLAB and Simulink to accelerate testbench development. Our major contributions are first a cosimulation interface between SystemC and MATLAB and Simulink, a...