Eric Fritzinger

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Modern mathematical models for simulation of various systems are becoming increasingly complex and intricate. Since no one model can simulate every aspect of a system, the need for these models to be broken into their component parts is imperative for accuracy and maintainability. However, no model can operate alone without data from an outside source, and(More)
This paper presents an overview of the Demeter Framework being developed at the University of Nevada, Reno as part of the Nevada Climate Change Portal. The Demeter Framework proposes a new solution to the model coupling problem by taking a component-based approach that allows almost any standard or type of component to be integrated within the system. For(More)
Model interoperability, also known as model coupling, is involved in a significant part of scientific research and offers an interesting and worthwhile area of exploration and development for related supporting software frameworks and environments. This paper presents the challenges of scientific model coupling, with emphasis on climate change research, and(More)
This paper describes the functionality required for a development environment that supports stratified programming (SP), a novel software development method that we have proposed recently [1, 2]. In this paper we discuss the case when program strata are controlled outside the programming language and present the main features of the SPIDER environment for(More)
A critical challenge in robot learning from demonstration is the ability to map the behavior of the trainer onto a robot's existing repertoire of basic/primitive capabilities. In part, this problem is due to the fact that the observed behavior of the teacher may consist of a combination (or superposition) of the robot's individual primitives. The problem(More)
STORM, presented in this paper, is a UML-based software engineering tool designed for the purpose of automating as much of the requirements specification phase as possible. The main idea of the STORM approach is to combine adequate requirements writing with robust use case modelling in order to expedite the process leading up to the actual design of the(More)
The NSF EPSCOR funded Solar Nexus Project is a collaborative effort between scientists, engineers, educators, and technicians to increase the amount of renewable solar energy in Nevada while eliminating its adverse effects on the surrounding environment and wildlife, and minimizing water consumption. The project seeks to research multiple areas, including(More)
Created with support from an NSF EPSCoR Research Infrastructure Improvement (RII) grant completed in 2013, the Nevada Climate Change Portal (NCCP) serves as a cyberinfrastructure hub that provides data and computing resources for scientists studying the effects of climate change in Nevada. In particular, the NCCP has been designed for data acquisition,(More)
—Model coupling has been of interest due to its promise of assisting massive amounts of reuse and thereby speeding up development cycles. A project at the University of Nevada, Reno dubbed the Nevada Climate Change Portal is currently being developed to assist in providing climate data and data services to researchers. One part of this portal is being(More)
— Model interoperability, also known as model coupling, is involved in a significant part of scientific research and offers an interesting and worthwhile area of exploration and development for related supporting software frameworks and environments. This paper presents the challenges of scientific model coupling, with emphasis on climate change research,(More)
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