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Daniela Andone

Publications and source records attributed to Daniela Andone.

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Tandem Queueing Systems Maximum Throughput Problem

In this paper we consider the problem of maximum throughput for tandem queueing system. We modeled this system as a Quasi-Birth-Death process. In order to do this we named level the number of customers waiting in the first buffer (including the customer in service) and we called phase the state of the remining servers. Using this model we studied the problem of maximum throughput of the system: the maximum arrival rate that a given system could support before becoming saturated, or unstable. We considered different particular cases of such systems, which were obtained by modifying the capacity of the intermediary buffers, the arrival rate and the service rates. The results of the simulations are presented in our paper and can be summed up in the following conclusions: 1. The analytic formula for the maximum throughput of the system tends to become rather complicated when the number of servers increase 2. The maximum throughput of the system converges as the number of servers increases 3. The homogeneous case reveals an interesting characteristic: if we reverse the order of the servers, maximum thruoughput of the system remains unchanged The QBD process used for the case of Poisson arrivals can be extended to model more general arrival processes.

cs.PF

A New Approach of Gray Images Binarization with Threshold Methods

The paper presents some aspects of the (gray level) image binarization methods used in artificial vision systems. It is introduced a new approach of gray level image binarization for artificial vision systems dedicated to industrial automation temporal thresholding. In the first part of the paper are extracted some limitations of using the global optimum thresholding in gray level image binarization. In the second part of this paper are presented some aspects of the dynamic optimum thresholding method for gray level image binarization. Starting from classic methods of global and dynamic optimal thresholding of the gray level images in the next section are introduced the concepts of temporal histogram and temporal thresholding. In the final section are presented some practical aspects of the temporal thresholding method in artificial vision applications form the moving scene in robotic automation class; pointing out the influence of the acquisition frequency on the methods results.

cs.CV