The use of batch means is a well known technique for estimating the variance of point estimators computed from simulation experiments. The batch means variance estimator is simply the (appropriately scaled) sample variance of the estimator computed on subsets of consecutive observations. For the method to be practical, a good choice of batch length is necessary. We propose a method to estimate ...

A single-server queueing model with infinite buffer and batch arrival of customers is considered. In contrast to the standard batch arrival when a whole batch arrives into the system at one epoch, we assume that the customers of an accepted batch arrive one by one in exponentially distributed times. Service time is exponentially distributed. Flow of batches is the stationary Poisson arrival pro...

Presented in this paper is a graphical technique for freshwater and wastewater minimisation in completely batch operations. Water minimisation is achieved through the exploitation of inter- and intra-process water reuse and recycle opportunities. In the context of this paper, a completely batch operation is one in which water reuse or recycle can only be effected either at the start or the end ...

Absorption: With the original technique (1) the horse serum decomplemented by heating to 56 0 C. and then absorbed against cells and pooled serum of the species to be treated; tion was done first to avoid hemolysis of the added red cedure had two flaws. First, the use of serum (rather than p.,,"~ ... aJ ICtJ,:'lgror absorption precluded the removal of antifibrinogen and bocyte antibodies. Secon...

In this paper, we propose an active learning technique for solving multiclass problems with support vector machine (SVM) classifiers. The technique is based on both uncertainty and diversity criteria. The uncertainty criterion is implemented by analyzing the one-dimensional output space of the SVM classifier. A simple histogram thresholding algorithm is used to find out the low density region i...

−Adaptive iterative learning control based on the measured input-output data is proposed to solve the traditional iterative learning control problem in the batch process. It produces a control law with self-tuning capability by combining a batch-to-batch model estimation procedure with the control design technique. To build the unknown batch operation system, the finite impulse response (FIR) m...

In this work we study the optimization of a polyhydroxyalkanoates (PHA) production process by mixed cultures based on a detailed hybrid metabolic model. The metabolic network under consideration was first decomposed into its fundamental pathways using the elementary flux modes (EFM) technique. Then, a dynamical hybrid semi-parametric model was formulated, which allowed to identify the EFM kinet...

With the recent emphasis on batch processing by the emerging industries like the microelectronics and biotechnology, the interest in batch process control has been renewed. In this paper, we present an overview of the Iterative Learning Control (ILC) technique, which can be used to improve tracking control performance in batch processes. We present the fundamental concepts and review the variou...

This manuscript demonstrates the design, modification and initial investigation of a rotary furnace for the manufacturing of inorganic fullerene WS2 nanoparticles. Different preparation methods starting with various precursors have been investigated, of which the gas-solid reaction starting with WO3 nanoparticles was the most efficient technique. Furthermore, the influence of temperature, react...