Nonoverlapping batch means (NOLBM) is a a we11-known approach For For estimating the variance of the sample mean. In this paper we consider an overlapping batch means (OLBM) estimator that, based on the same assumptions and batch size as as NOLBM, has has essentially the same mean and only 2/3 the asymptotic variance of NOLBM. Confidence interval procedures for the nlean based on NOLBM and OLBM...

We develop WASSP, a wavelet-based spectral method for steady-state simulation analysis. First WASSP determines a batch size and a warm-up period beyond which the computed batch means form an approximately stationary Gaussian process. Next WASSP computes the discrete wavelet transform of the bias-corrected log-smoothed-periodogram of the batch means, using a soft-thresholding scheme to denoise t...

Al-Quran is the primary text of Muslims’ religion and practise. Millions Muslims around world use al-Quran as their reference guide, so knowledge can be obtained from it by Islamic scholars in general. has been reinterpreted to various languages world, for example, English written several translators. Each translator ideas, comments statements translate verses which he (Tafseer). Therefore, thi...

batch Fermentation by Means of Genetic Programming K.D. BETTENHAUSEN , P. MARENBACH , S. FREYER , H. RETTENMAIER and U. NIEKEN Darmstadt University of Technology , Institute of Control Engineering, Department of Control Systems Theory & Robotics, Landgraf-Georg-Strasse 4, D-64283 Darmstadt, Germany BASF AG, D-67056 Ludwigshafen, Germany Abstract. The article at hand describes an approach for th...

In modelling risk management strategies (i.e., within-lot batch testing, statistical process control), two basic assumptions have been normally made: that the true concentration of microorganisms are log-normally distributed within a batch, and that the variance of the samples is the same for a little or highly contaminated lot. These assumptions were evaluated by characterising the between-bat...

We analyze online [5] and mini-batch [16] k-means variants. Both scale up the widely used k-means algorithm via stochastic approximation, and have become popular for large-scale clustering and unsupervised feature learning. We show, for the first time, that starting with any initial solution, they converge to a “local optimum” at rateO( 1t ) (in terms of the k-means objective) under general con...

In this article, the control of particle size distribution (PSD) is discussed as a means for the inferential control of the rheology of emulsion polymers. A controllability assessment is presented through a consideration of the process mechanisms to illustrate the attainability or otherwise of bimodal PSD. The suitability of a batch-to-batch iterative feedback PSD control is demonstrated, which...

The paper focuses on the development of a classification strategy to identify critic situation in batch process control. Data acquired from a batch execution is reduced by means of multiway principal component analysis in order to be assessed according to the statistical model of the process. Multiple situations have been categorized by a classification algorithm applied to the principal compon...