Award Data

The development of adaptive AI technology is vital to the creation of simulation technology with predictive capabilities. The objective of this research project is to deliver an adaptive AI-based simulation technology with predictive capabilities that will enable a family of operational-level tools and simulations that can propose and assess realistic and emergent adversarial behavior, automate th ...

During a Phase I STTR Contract #F49620-03-C-0064 provided by AFOSR, Nukove Scientific Consulting addressed “Adaptive Laser Beam Control Using Return Photon Statistics” with considerable success. The Nukove/NMSU Team demonstrated the feasibility of combining Nukove’s statistical approaches to pointing estimation and target identification with a laboratory testbed at NMSU. This proposed Phase ...

Embedded training (ET) is the envisioned method for flexibly training an adaptive future force. Successful ET is more than the platform on which it is hosted or the realism of training exercises. Training must also be structured. IMI could be an efficient and effective means for delivering structured ET. This requires that an IMI exercise-generation tool be designed to support trainer interactivit ...

The design of Unmanned Aerial Vehicles (UAV’s) is a complex process of creating a reliable system of reasonable cost that can survive in hostile environments. Although UAV’s have unique aspects to them, similar goals can be found in almost any complex, competitive product. One aspect of the design of these systems that tends to be both difficult and poorly supported with available computer ...

Accurate numerical predictions of performance of antennas on aircraft are important in many problems of avionics design and integration. In particular, such predictions are needed for determination of optimal placement of antenna on an aircraft in order to achieve required coverage. The focus of this project is an investigation and development of high-frequency computational methods and codes for ...

We propose to develop advanced antenna pattern prediction software using fast algorithm for integral equation. The software will be developed from first principle integral equation solver accelerated by the multi-level fast multipole algorithm. Material effects will be included using volume integral equation and a newly developed thin dielectric sheet model. The model entails full physics, a ...

The present text proposes development of a software infrastructure for the prediction of antenna patterns on and around aircraft, for frequencies throughout the electromagnetic spectrum - including UHF through L bands as well as arbitrarily high-frequencies---and applicable to aircraft which, like those designed for low observability, contain non perfectly conducting surface materials. Relying on ...

The objective of this proposal is to make a significant advancement in the development of software for the prediction of radiation patterns of antennas mounted on large platforms. The proposed approach will combine fast rigorous and asymptotic solution methods with a suitably constructed direct and iterative solvers. The proposed scheme will significantly reduce the computational cost of the sol ...

The goal of this program is to use Blind Source Separation (BSS) signal processing techniques to create a novel multi-axis controller for prosthetic limbs based on surface EMG electrode array recordings.

Development of an innovative analysis and software modeling capability is proposed for aeroservothermoelastic evaluation of air-breathing hypersonic wave rider vehicles. The interface of the airframe dynamic vibration modes with highly nonlinear hypersonic flows is modeled using a particle-based material point method (MPM) in an integrated dynamic fluid-structure environment. MPM is essentially ...