Award Data

Seed Innovations (Seed) and the University of Colorado in Denver (UCD) apply our experience in natural language processing (NLP), artificial intelligence, big data, data analytics, automatic code generation, framework development, and software architecture to accomplish the research required. Through the research on this project, Seed and UCD design and develop a proof-of-concept system, Intellige ...

Department of Defense (DoD) cybersecurity test and evaluation (T&E) uses various cyber event environments throughout the development of a combat system to support fielding more secure, resilient, and cost-effective systems. Cyber ranges deploy cyber-attacks and achieve high-fidelity feedback on vulnerabilities present in the system without putting operational systems at risk; they support more rig ...

Energy and Security Group (ESG) and our partner Sandia National Laboratories (SNL) will design a modeling and simulation (M&S) framework that integrates human performance modeling with high-fidelity systems modeling to explore the impacts of human operator variability in execution of tactics, techniques, and procedures (TTP). This framework, TTPSim, can be used to develop and run simultaneous, eff ...

Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...

This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on imple ...

AeroSoft, with the USAFA Laser and Optics Research Center proposes to create an extensive and thorough Verification and Validation (V & V) Program for anchoring physics based modeling software for static and flowing DPAL systems. During Phase I, a review of existing experimental programs will made and used for preliminary validation with the GASP software suite. Once deficiencies in the current e ...

OptTek Systems, Inc (OptTek), proposes an affordable, effective UQ capability for both legacy and new BMDS M & S. The OptTek Team includes research institution partner Oak Ridge National Laboratory (ORNL) and subcontractor RTSync Corporation (RTSync). The proposed BMDS M & S UQ capability maximizes insertability into existing and future MDA BMDS M & S-supported Event processes, analysis methods, a ...

In this Phase I STTR project for MDA, Vectraxx of Glen Allen, Virginia will address the critical problem of dealing with pre-intercept debris fields and launch family clusters as seen by IR sensors. This is an essential element to the ascent phase component of the MDA"s Ballistic Missile Defense System. The objective of this R & D effort is to characterize pre-intercept debris field and leverage ...

The modeling and simulation of human performance is often difficult because there is no uniform framework for expressing the content and structure of a human performance model and all but impossible to compare and contrast across different models despite the abundance of quantitative modeling tools. The inability to communicate model structure and content is not just a practical shortcoming; it is ...

A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Co ...