Results 41 to 50 of about 19,489 (159)

Applying Semi-Markov Models for forecasting the Triple Dimensions of Next Earthquake Occurrences: with Case Study in Iran Area

International Journal of Industrial Engineering and Production Research, 2008
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.
R. Sadeghian, G.R. Jalali-Naini, J. Sadjadi, N. Hamidi Fard   +3 more
doaj  

Reward Algorithms for Semi-Markov Processes [PDF]

Methodology and Computing in Applied Probability, 2017
New algorithms for computing power moments of hitting times and accumulated rewards of hitting type for semi-Markov processes. The algorithms are based on special techniques of sequential phase space reduction and recurrence relations connecting moments of rewards.
Manca, Raimondo, Silvestrov, Dmitrii
openaire   +2 more sources

Recursive Approach for Evaluation of Time Intervals between Transactions in Polling Procedure

MATEC Web of Conferences, 2016
An ergodic semi-Markov process with the structure represented by the full graph with loops, which simulates a digital control algorithm that generated transactions onto an object, is investigated.
Larkin Eugene, Ivutin Alexey, Esikov Dmitry   +2 more
doaj   +1 more source

Evaluation of Machinery Readiness Using Semi-Markov Processes

Applied Sciences, 2020
This article uses Markov and semi-Markov models as some of the most popular tools to estimate readiness and reliability. They allow to evaluate of both individual elements as well as entire systems—including production systems—as multi-state ...
Andrzej Świderski, Anna Borucka, Małgorzata Grzelak, Leszek Gil   +3 more
doaj   +1 more source

Critically Important Object Security System Element Model

Безопасность информационных технологий, 2012
A stochastic model of critically important object security system element has been developed. The model includes mathematical description of the security system element properties and external influences.
I. V. Khomyackov
doaj  

Compensating Operator and Weak Convergence of Semi-Markov Process to the Diffusion Process without Balance Condition

Journal of Applied Mathematics, 2015
Weak convergence of semi-Markov processes in the diffusive approximation scheme is studied in the paper. This problem is not new and it is studied in many papers, using convergence of random processes.
Igor V. Malyk
doaj   +1 more source

Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks (SMPISCS)

Cybersecurity, 2019
In Wireless Sensor Network (WSN), energy and packet forwarding tendencies of sensor nodes plays a potential role in ensuring a maximum degree of co-operation under data delivery.
Kanchana Devi V, Ganesan R
doaj   +1 more source

A discrete-time split-state framework for multi-state modeling with application to describing the course of heart disease

BMC Medical Research Methodology
In chronic disease epidemiology, the investigation of disease etiology has largely focused on an endpoint, while the course of chronic disease is understudied, representing a knowledge gap. Multi-state models can be used to describe the course of chronic
Ming Ding, Haiyi Chen, Feng-Chang Lin
doaj   +1 more source

Hidden Semi-Markov Models-Based Visual Perceptual State Recognition for Pilots. [PDF]

Sensors (Basel), 2023
Gao L, Wang C, Wu G.
europepmc   +1 more source

Joint Tracking of Manoeuvring Targets and Classification of Their Manoeuvrability

EURASIP Journal on Advances in Signal Processing, 2004
Semi-Markov models are a generalisation of Markov models that explicitly model the state-dependent sojourn time distribution, the time for which the system remains in a given state.
Maskell Simon
doaj   +1 more source