Chain codes are the most size-efficient representations of rasterised binary shapes and contours. This paper considers a new lossless chain code compression method based on move-to-front transform and an adaptive run-length encoding. The former reduces the information entropy of the chain code, whilst the latter compresses the entropy-reduced chain code by coding the repetitions of chain code s...

103 AIJ Modeling, Identification, Simulation and Control, Vol 48, No. 2, Fall 2016 Please cite this article using: Aminnayeri, M., and Sogandi, F., 2016. “A Risk-Adjusted Self-Starting Bernoulli CUSUM Control Chart with Dynamic Probability Control Limits”. Amirkabir International Journal of Modeling, Identification, Simulation and Control, 48(2), pp. 103–110. DOI: 10.22060/miscj.2016.833 URL: h...

We consider a multiple regression model in which the explanatory variables are specified by time series. To sequentially test for the stability of the regression parameters in time, we introduce a detector which is based on the first excess time of a CUSUM-type statistic over a suitably constructed threshold function. The aim of this paper is to study the delay time associatedwith this detector...

Recently, monitoring the process mean and variance simultaneously by using a single chart has drawn more and more attention. In this paper, we propose a new single chart that integrates the EWMA procedure with the generalized likelihood ratio (GLR) test statistics for jointly monitoring both the process mean and variance. It can be easily designed and constructed, and its average run length can...

There have been some advances in multivariate control charts recent years. This paper presents a new simultaneous scheme for monitoring both the mean and variability of normal process single chart, which is developed by improving modifying another recently proposed scheme. We not only propose but also make it adaptive varying all chart parameters. Our scheme, first time, considers two forms: “c...

Solution concepts help designing co-evolutionary algorithms by interfacing search mechanisms and problems. This work analyses co-evolutionary dynamics by coupling the notion of solution concept with a Markov chain model of coevolution. It is shown that once stationarity has been reached by the Markov chain, and given a particular solution concept of interest, the dynamics can be seen as a Berno...

in this paper at rst, a history of mathematical models is given.next, some basic information about random variables, stochastic processesand markov chains is introduced. as follows, the entropy for a discrete timemarkov process is mentioned. after that, the entropy for sis stochastic modelsis computed, and it is proved that an epidemic will be disappeared after a longtime.

The gating mechanism of a single ion channel is usually modelled by a nite state space continuous time Markov chain. The patch clamp technique enables the experimenter to record the current owing across a single ion channel. In practice, the current is corrupted by noise and low-pass ltering, and is sampled with a typically very short sampling interval. We present a method for performing Bayesi...

We address the sequential change-point detection problem for the Gaussian model where baseline distribution is Gaussian with variance 2 and mean such that 2 = a , where a > 0 is a known constant; the change is in from one known value to another. First, we carry out a comparative performance analysis of four detection procedures: the Cumulative Sum (CUSUM) procedure, the Shiryaev–Roberts (SR) pr...

OBJECTIVE To apply the cumulative summation (CUSUM) technique for an evaluation of the learning process of sonographic fetal weight estimation at term in combination with the z-scores of biometry determinants and to assess the time of appearance and sources of errors. METHODS Learning curve (LC-CUSUM) and double CUSUM charts for systematic error detection based on absolute and signed mean per...