Peter Teunissen

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A Mean Value Analysis (MVA) approximation is presented for computing the average performance measures of closed multiclass queueing networks containing non pre-emptive Head Of Line (HOL) and Pre-empt Resume (PR) priority centers. The approximation has the same storage and computational requirements as MVA thus allowing computationally efficient solutions of(More)
A Multiclass Queueing Network model (MQN) is partitioned into a set of disjoint subnetworks. Population constraints are applied to each subnetwork such that within each subnetwork each population chain is either subject to an individual population constraint, or a group of chains may be subject to a common (shared) population constraint. Such population(More)
A terrestrial laser scanner measures the distance to an object with a precision in the order of millimeters. The quality of each single point in a point cloud affects post-processing applications, such as deformation analysis or 3D modeling. The quality of a scan point is influenced by four major factors: instrument calibration, atmospheric conditions,(More)
Biography Peter Teunissen is professor in Mathematical Geodesy and Positioning. Paul de Jonge and Christiaan Tiberius 1 both graduated at the Faculty of Geodetic Engineering of the Delft University of Technology. They are currently engaged in the development of mathematical models for the GPS data processing in surveying and geodesy. Abstract One of the(More)
Multiclass queuing network models of multiprogramming computer systems are frequently used to predict the performance of computing systems as a function of user workload and hardware configuration. This paper examines three different methods for incorporating operating system overhead in multiclass queuing network models. The goal of the resultant model is(More)
In refinery, petrochemical, and chemical plants, process technicians collect uncontaminated samples to be analyzed in the quality control laboratory all time and all weather. This traditionally manual operation not only exposes the process technicians to hazardous chemicals, but also imposes an economical burden on the management. The recent development in(More)