Award Data

DEVS-NNtakes two complementary approaches to reduce the amount of data that must be collected for artificial intelligence/machine learning (AI/ML): 1. Use existing knowledge (in the form of a Discrete Event System Specification (DEVS) simulation model created by subject matter experts) to reduce the “work” a neural network (NN) has to do. The DEVS simulation model gets close to the correct out ...

In Phase I, the RTSync team investigated the design of a non-real-time simulation platform that created an opportunity to radically change the way simulation utilizing enterprises include high fidelity models of software systems within their simulations. The new approach to developing and testing proposed System of System (SoS) architectures is to employ models of hardware systems that execute the ...

RTSync proposes to develop a Model-based System Engineering (MBSE) framework based on DEVS Modeling and Simulation (DMBSE) that supports predictive analysis to enhance design, development, testing, and evaluation of complex system of systems with mission threads and workflows. RTSync’s simulation based predictive analytics (SimPA) platform will offer predictive capabilities to reduce developmen ...

RTSync Corp. and WarpIV technologies have each performed research to evolve different and complementary aspects of a Model Level Integrated Simulation Architecture. The RTSync team, employed the Discrete Event System Specification (DEVS) formalism and the existing RTSync owned Modeling and Simulation environment (MS4 Me) to base the architecture design on a firm system theoretical and computationa ...

We propose to develop an approach to Discrete Event System Specification (DEVS)-based re-design of the Linux Kernel-based Virtual Machine (KVM) Timestamp Counter Register (TSCR) for accurate “as is” operational software simulation. To achieve equivalent accurate execution of “as is” software on current lower performance hardware requires that new hardware be modeled and executed in a power ...

RTSync proposes Real Time Simulation Based Predictive Analytics (RTSimPA) Phase-based Vaccination Tracking and Efficacy Assessment (PVac) system technology. This technical innovation is a generic digital model of Phase-based Vaccination Tracking and Efficacy Assessment (PVac) Pathways to enable implementation of effective toolsets to track, monitor, and predict the effectiveness of COVID-19 vaccin ...

We propose to develop a simulation architecture framework that enables development teams to integrate algorithmic models into a simulation solely through a collaboration layer/interface and software controls. The proposed architecture will address: ease of model integration, model composability, execution speed, and ease of data collection and retrieval. To achieve these objectives, we propose tha ...

We propose to develop a simulation architecture framework that enables development teams to integrate algorithmic models into a simulation solely through a collaboration layer/interface and software controls. The proposed architecture will address: ease of model integration, model composability, execution speed, and ease of data collection and retrieval. To achieve these objectives, we propose tha ...

Building on the Phase I multi-core developments, the RTSync Team envisions an ontology-based automatic scenario selection/construction technology to create a system-of-systems capability to meet current and future modeling and simulation (M&S) stakeholders needs. Central to the RTSync Team approach is the System Entity Structure (SES), an M&S-specific ontology capable of representing the extensib ...

This proposal examines innovative approaches and technologies that can be used to evaluate legacy models and simulations, determine the feasibility of porting them to multi-core simulation environments, and enable the legacy model capabilities to efficiently execute in such multi-core environments. We will employ Discrete Event System Specification (DEVS) Simulator architectures to support highly ...