We have experience in developing distributed simulation architecture solutions to enable systems to be interoperable and scalable while using the latest government and industry technologies.
We implement and apply innovative data-driven systems engineering approaches for complex System of Systems architectures.
We use modern programming languages and novel database systems including solutions for simulation, cloud computing, semantic knowledge management, and distributed computing.
A system that links systems engineering information of each application with executable details allowing a user to deploy, configure, execute, and monitor distributed M&S applications via an easy to use web-based application.
Capturing simulation physics models within a conceptual model and using metaprogramming techniques to automatically generate working software to be integrated within multiple simulations.
A data-centric systems engineering application that captures and links information about simulation software systems. This facilitates interoperability across dozens of simulation systems and allows for automated testing and reporting.
A learning system that captures knowledge within an ontology and generates educational material and assessments by traversing the relationships within the data.
An expert system that serves as a knowledge assistant within a very complex domain. This system learns from the users over time to better assist with future tasks.
An Android application development for multiple use cases. Mobile design patterns for unreliable network environments, responsiveness, and performance on a wide variety of devices.
Effective Applications was founded in 2008 in Orlando, Florida. Our initial focus was on distributed simulation interoperability including architecture, data-driven systems engineering, and interoperability for a large U.S. Army simulation project.
Effective Applications grew in size as well as capabilities. We expanded our portfolio of projects to include a data-driven learning system, mobile application development, and the use of ontologies and a graph database to research and analyze a broad spectrum of data.
We led a team in expanding a data-driven systems engineering application to allow for deployment, configuration, and execution of complex and disparate simulation applications interoperating to provide simulation as a service. This project led to our participation in international groups focused on simulation as a service.
We are currently working on several projects to improve the U.S. Army's simulation capabilities for enterprise-level training. This includes scenario-driven simulation architecture, the ability to create conceptual models, and generating software in multiple programming languages and within multiple training systems. We continue to be active in international standards activities.
CEO
Scott is a Systems Architect, Systems Engineer, and Software Developer. He founded Effective Applications and has over 20 years of experience in distributed computing including modeling & simulation, databases, expert systems, web applications, and mobile application development. His primary focus recently has been on supporting the United States Army in utilizing novel technologies and processes to improve design and implementation of large-scale distributed simulation systems for training, analysis, and experimentation.
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