Acceptance Sampling models have been widely applied in companies for the inspection and testing the raw material as well as the final products. A number of lots of the items are produced in a day in the industries so it may be impossible to inspect/test each item in a lot. The acceptance sampling models only provide the guarantee for the producer and consumer that the items in the lots are acco...

The economically important Louisiana Coastal Area (LCA) is susceptible to hurricane activity which is increasingly aggravated by the continuing erosion of wetlands. Various programs are aimed at building sophisticated models of meteorological, coastal, and ecological processes. The emerging paradigm of Dynamic Data Driven Application Systems (DDDAS) can be applied to these models leading to new...

A rule-based Support Vector Machine (SVM) classifier is applied to tornado prediction. Twenty rules based on the National Severe Storms Laboratory’s mesoscale detection algorithm are used along with SVM to develop a hybrid forecast system for the discrimination of tornadic from nontornadic events. The use of the Weather Surveillance Radar 1998 Doppler data, with continuous data streaming in eve...

This paper outlines the initial motivations and implementation scope supporting a dynamic data driven application system for material and structural health monitoring as well as critical event prediction. The dynamic data driven paradigm is exploited to promote application advances, application measurement systems and methods, mathematical and statistical algorithms and finally systems software...

This workshop is centered about the recently emerged paradigm of Dynamic Data Driven Applications Systems (DDDAS). The DDDAS concept has already been established as a revolutionary new approach of a symbiotic relation between application and measurement systems, where applications can accept and respond dynamically to new data injected into the executing application, and reversely, the ability ...

one major branch in mathematical sciences, which recently has been given especial attention, is optimization, including various methods such as linear programming, integer programming, and dynamic programming. due to the unique characteristics of air treatment systems, specifically multistage nature of such systems, dynamic programming has been widely applied. the purpose of this paper is to fi...