The effectiveness of model-based multivariable controllers depends on the quality of the model used. In addition to satisfying standard accuracy requirements for model structure and parameter estimates, a model to be used in a controller must also satisfy control-relevant requirements, such as integral controllability. Design of experiments (DOE), which produce data from which control-relevant ...

This investigation evaluated the efficacy of a bacterin in reducing the prevalence of staphylococcal mastitis and somatic cell counts (SCC) in a dairy goat herd. Does were vaccinated or left as controls, and the levels of mastitis and SCC monitored over 18 months. Staphylococcus caprae (42.5%), S. xylosus (15.1%), and S. simulans (10.0%) were the predominant causes of intramammary infections (I...

The publication data analyzed in this paper was downloaded from ISI Web of Knowledge in May 2009. We restrict our analysis to publications termed as “Articles”, which excludes reviews, letters to editor, corrections, etc. Each article summary includes a field for the author identification consisting of a last name and first and middle initial (eg. the author name John M. Doe would be stored as ...

The asbestos remediation for wrap-andcut piping in D&D applications for DoE is conservatively estimated at $300 million complex-wide. The development of an automated system to separate the insulation from the pipe, allowing for waste-volume reduction and wastesegregation is offered as a solution capable of saving DoE between 20% and 40% of the total job cost in years to come. The application to...

Design of Experiment commonly referred to as DOE is one of the extensively used methods for experimental study of many processes in engineering. It is a statistical approach in which a mathematical model is developed through experimental runs. DOE provides us the opportunity to optimize and predict possible output based on the parameters setting. In this study, a review is done on DOE technique...

In this study, the use of DoE for training metamodels in simulation-based optimisation of manufacturing systems is evaluated. The evaluation is done through a case study of a real manufacturing system. A simulation model of the system exist and the aim is to train an Artificial Neural Network as a metamodel of the system with as high accuracy as possible. Two training data sets generated using ...

We start with a big picture illustration of what role HNTES would play if deployed by those providers who offer both IP-routed and circuit services. In the example shown in Figure 1, the "DOE Lab I" network and ESnet are shown as offering both IP-routed and circuit services, while the "DOE Lab II," "Other provider" and "University" networks only offer IProuted services. This reflects current-da...

The effective method of a speckle suppression using one moving 2D diffractive optical elements based on the periodic Barker code sequence is developed. It was proved that method has the same optical parameters as method based on two 1D Barker code DOE stretched and moving in orthogonal directions. It is shown that DOE movement in special direction allows to use full numerical aperture of object...

Problem solving is a key activity for any innovative company. As the dialectical approach has shown its efficiency in problem solving, the starting point of our work is the use of contradiction in problem formulation stage. In this article, we analyse the possibility to use information brought by a Design of Experiments (DoE) to formulate a contradiction. Constraint Satisfaction Problem is empl...