Results 21 to 30 of about 18,734 (258)

Application and Research of Markov Model in Network Traffic Classification [PDF]

open access: yesJisuanji gongcheng, 2018
With the development of information science and technology,the traditional port number and depth packet detection classification technology can not meet the classification requirements of various applications in the network,and can not be classified ...
ZHAO Ying,HAN Chunhao
doaj   +1 more source

Hidden Semi-Markov Models for Predictive Maintenance [PDF]

open access: yesMathematical Problems in Engineering, 2015
Realistic predictive maintenance approaches are essential for condition monitoring and predictive maintenance of industrial machines. In this work, we propose Hidden Semi-Markov Models (HSMMs) with (i) no constraints on the state duration density function and (ii) being applied to continuous or discrete observation. To deal with such a type of HSMM, we
Francesco Cartella   +3 more
openaire   +3 more sources

Consensus control of semi‐Markov jump topology multiple direct‐drive motion system

open access: yesIET Control Theory & Applications, 2023
Random jump of network communication topology challenges the tracking accuracy of linear switched reluctance motor (LSRM) system. This paper studies the pilot‐following consensus control of the multiple direct‐drive motion system (MDDMS) with semi‐Markov
Li Qiu   +4 more
doaj   +1 more source

Semi-Markov and hidden semi-Markov models of energy systems [PDF]

open access: yesE3S Web of Conferences, 2018
The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy systems. The solution of this problem is possible based on construction of mathematical models concerning different aspects of these systems ...
openaire   +2 more sources

Tornadoes and related damage costs: statistical modelling with a semi-Markov approach

open access: yesGeomatics, Natural Hazards & Risk, 2016
We propose a statistical approach to modelling for predicting and simulating occurrences of tornadoes and accumulated cost distributions over a time interval.
Guglielmo D’Amico   +4 more
doaj   +1 more source

Estimation in a Semi-Markov Transformation Model [PDF]

open access: yesThe International Journal of Biostatistics, 2012
Abstract Semi-Markov and modulated renewal processes provide a large class of multi-state models which can be used for analysis of longitudinal failure time data. In biomedical applications, models of this kind are often used to describe evolution of a disease and assume that patient may move among a finite number of states ...
openaire   +2 more sources

A Markov regenerative process with recurrence time and its application

open access: yesFinancial Innovation, 2021
This study proposes a non-homogeneous continuous-time Markov regenerative process with recurrence times, in particular, forward and backward recurrence processes. We obtain the transient solution of the process in the form of a generalized Markov renewal
Puneet Pasricha, Dharmaraja Selvamuthu
doaj   +1 more source

Hidden semi-Markov models

open access: yesArtificial Intelligence, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

A semi-Markov modulated interest rate model [PDF]

open access: yesStatistics & Probability Letters, 2013
In this paper we propose a semi-Markov modulated model of interest rates. We assume that the switching process is a semi-Markov process with finite state space E and the modulated process is a diffusive process. We derive recursive equations for the higher order moments of the discount factor and we describe a Monte Carlo al- gorithm to execute ...
Guglielmo D'Amico   +2 more
openaire   +3 more sources

Application Isssues of the Semi-Markov Reliability Model

open access: yesPolish Maritime Research, 2015
Predicting the reliability of marine internal combustion engines, for instance, is of particular importance, as it makes it possible to predict their future reliability states based on the information on the past states. Correct reliability prediction is
Rudnicki Jacek
doaj   +1 more source

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