Visual Argumentation for Resolving Inefficiencies (VARI) is a crowdsourcing environment that aids organizations in identifying and characterizing inefficiencies to constructively/collaboratively develop solutions to improve organizational performance. Versatile and adaptable, VARI can be hosted on a cloud or in a classic client/server setup, enabling deployment on any DoD network (e.g. NIPR, SIPR, JWICS) or corporate LAN to provide continuous organizational improvement at any echelon/level – to include development of ALL-SOURCE intelligence products. Intuitive, it reduces workload, improves user experience, and improves the decision making process. Sonalysts’ Human-Autonomy Interaction Laboratory (HAIL) develops concepts and technologies to support more effective human-machine interaction. Scalable to organizational needs, Sonalysts’ goal is for VARI to become the crowdsourcing technology of choice for resolving organizational inefficiencies. We seek Navy, IC, and commercial transition sponsors to adopt VARI to their organization.
InnoSys has developed modular, integrated smart addressable driver and controller units and modules that provide no-single point of failure efficient and extremely reliable driver power of Flight Deck Lighting Addressable Smart Control Modules (DLASCMs) for flight deck landing lights for DDG1000 class ships as well as other fixed wing and helicopter carriers’ flight deck lighting that are low-risk, affordable, easy to maintain/replace. InnoSys is a minority women own small business with extensive expertise, experiences and facilities that develops and manufactures smart driver and controller electronics in its Salt Lake City, Utah location. The initial targeted defense application or platform is power system for flight deck lighting. We have developed and demonstrated to NAVAIR. We are looking for additional defense applications and customers including NAVSEA.
Metamagnetics designs and manufactures magnetic signal conditioning and antenna products. We recently developed a compact conformal very high frequency (VHF) / ultra-high frequency (UHF) azimuthal omnidirectional transmit/receive antenna. The antenna bandwidth is 350-700 MHz but can be scaled for other frequency bands. This antenna has a significantly lower profile (4”) than conventional dipole antennas (~16”) and can be mounted directly to a metallic surface while maintaining omnidirectional performance. The result is a significant reduction in visual signature with this antenna. The antenna can be mounted on the surface of platforms such as airplanes, Unmanned aerial vehicles (UAVs), Humvees, and man-packs. Our goal is to integrate this antenna into government and prime contractor communication systems to reduce their visual signature while maintaining performance.
Current flight simulator displays don’t provide accurate depth cues at close proximity; Holochip solves this problem. For wide angle collimated displays and head-worn displays, correct accommodation and vergence cues are provided, eliminating the vergence-accommodation conflict and improving the user’s spatial awareness at close to far range operations (less than 10 ft to over 60 ft). This system can be integrated into chin, cargo hatch and out-the-window visual systems for fixed, rotary wing and vertical/short takeoff and landing aircraft simulators and other virtual reality platforms. The system has been prototyped and is currently being installed in an operational environment where it will be evaluated by pilots. Holochip specializes in providing advanced technology solutions to problems of critical importance within the fields of simulation-and-training and image sensing. Our goal is to integrate and transition this technology into government and prime contractor systems for facilitating simulation, training and operational display technology that improves the warfighter’s spatial awareness and effectiveness.
Improving shipboard landings in high sea state conditions for varying class of autonomous vehicles remains a constant challenge for the US Navy. Our modular solution provides a completely general framework with applicability to rotorcraft and fixed wing UAS operations. The system involves two primary components: 1) a predictive deck motion estimation (DME) algorithm, and 2) a swappable guidance and control algorithm. The framework has been flown and verified on multiple unmanned aircraft systems (UAS). Systems Technology, Inc. has addressed the Navy shipboard approach and landing problem for both fixed- and rotary-wing aircraft over its 60-year history through advanced flight control designs, handling qualities assessments, ship motion projection, and Improved Fresnel Lens Optical Landing System (IFLOLS) stabilization. Our goal is to transition this technology by integrating our DME algorithm with prime contractor platforms existing guidance systems.
Issac utilizes model-based systems engineering to model components and interactions before manufacturing. It also utilizes prototype development of MVDC fault detection and isolation methods in a lab environment. Current effort is to provide a detailed specification and architectural recommendations for Fault Detection, Localization and Isolation (DLI) and Next Generation Electric Ship (NGES). The effort includes: 1. Exploring architectures to discern thresholds for DLI parameters; 2. Exploring technologies through prototype development and testing; 3. Understanding potential impacts and developing requirements for other NGES subsystems; 4. Understanding cross-system integration issues and architectures and specifications to mitigate risks. These activities can help with innovation and provide a competitive advantage for other industries that use DC to power vehicles or microgrids.
ArtusJava is a software tool used to remove dead code and features without need to access source code or the original developers. Use of Java is pervasive due to its mature ecosystem, rich community resources, and quick development cycle. The vast majority of today’s Java applications use only a fraction of their code and libraries causing the exploitable attack surface to be larger than necessary. PJR’s ArtusJava is a software re-engineering system that uses binary and static analysis, slicing algorithms and cutting techniques to safely remove bloat and allow the user to selectively remove unwanted features from the compiled binaries. Results in a smaller, simplified application with less vulnerabilities.
Applied Optimization, Inc. (AO) is developing an Integrated Computational Materials Engineering (ICME) solidification science-based additive manufacturing (AM) framework for multi-scale thermal and microstructure modeling, melt pool thermal-fluid flow analysis, thermodynamic and kinetic models, and a cellular automata (CA) framework. The dynamics of solidification interface velocity will be modeled using interface response function theory to predict the material inhomogeneities caused by the phase selection phenomena and the AM scan strategy. The evolution of the solidification front will be traced within the CA grid to predict the solidification grain growth and orientation and the sub-grain morphology and texture. AO seeks to identify DoD Prime contractor and Programs focused on AM to include powder bed AM process optimization for the mitigation of build defects and microstructure inhomogeneities.
Virtual training of small unit leaders requires many additional personnel to serve in lower level roles. DeepAgent solves this problem by providing high skill level, realistic virtual humans in training simulations. This system has been prototyped and automatically learned behaviors for virtual humans in a simple simulation. DeepAgent can be integrated with a variety of simulations and automatically creates high performance, realistic behaviors for virtual humans at low cost. SoarTech has over twenty years of experience working with the military to develop behaviors for virtual training simulations and autonomous platforms. Our goal is to integrate DeepAgent with government and prime contractor virtual training simulations used for small unit infantry leader training. Additionally, we plan to apply this technology to develop behaviors for autonomous platforms.
FIRST RF is an advanced technologies company specializing in antennas and radio frequency (RF) systems in communications, radar, AESAs and Electronic Warfare. Under contract N68335-18-C-0566; topic number N131-007 High Gain Common Data Link (CDL) Antennas for Networking UAV Node, a multi-beam Ku-Band phased array system will demonstrate multi-node point-to-point network which allows multiple deployed units on land, air, or sea to transfer mission-critical information without relying on potentially vulnerable or oversubscribed space assets. Upon completion of airborne testing, a multi-beam TCDL antenna and radio communication system will have demonstrated a modular, low-cost, light weight, electronically steerable and multi-beam system capable of maintaining air-to-air, air-to-ground, and air-to-ship data links which will provide greater access to ISR and improves overall situational awareness to the fleet.
High fidelity radio frequency (RF) link analysis requires in-situ antenna radiation patterns be utilized; consequently, EMAG, has developed a very fast, state-of-the-art, 3D polarimetric ray tracing solver that’ll interface with commercially available antenna modeling software and provide comprehensive electromagnetic propagation effects as well as a three-dimensional space availability analysis necessary for evaluating RF system performance. It simulates networks of aerial nodes in real-world scenarios imported from geographical information system (GIS) databases, creating computationally efficient system simulators for dynamic modeling of aerial links, whereby yaw, pitch and roll of the aircraft can be varied dynamically during flight missions. This module is integrated in to the commercially available EM.Cube®, an industry-recognized simulation suite for electromagnetic modeling of RF system engineering problems, which is already used by those in the government, industry, and academia.
The Planar Doppler Velocimetry (PDV) system measures airflow velocity, such as in the exhaust plume of a jet engine. MetroLaser is a leading developer of laser-based instrumentation for a wide range of defense and industrial problems. Like particle image velocimetry (PIV), PDV provides spatially resolved measurements, but unlike PIV it does not require adding particles in many practical flows. The MetroLaser PDV system is hardened for outdoor use in full-scale aircraft testing. Since it is a non-contact method, it does not disturb the flow field or suffer from probe survivability issues. Demonstrations on a lab-scale turbojet engine showed good agreement with measurements from a pitot probe. MetroLaser is seeking customers for indoor/outdoor airflow velocity measurement services that include setup, conducting experiments, processing data, reporting, and sales of complete PDV systems.
The goal of this project is to develop and construct a thin, lightweight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes an EO active nano-material phase wavefront control, suitable for unmanned aerial vehicle (UAV) platforms. This nano-material beam-steering technology large aperture system offers an ultra-low Size, Weight, and Power (SWaP) scanner that fits on UAV’s airframe and achieves ultrafast and wide scanning angles with diffraction limited beam quality. Ultimara seeks to partner with UAV prime contractors to integrate and demonstrate its lightweight, low cost, high performance, laser beam steering technology.
Next-generation Augmented Reality(AR) interface, ‘Iron Man’ type Holographic Augmented Semi-Transparent Controls & Displays attached to your body WITHOUT wearing ANY hardware. Big Easy-to-Read, Easy-to-Use Controls & Displays, Weightless, with intuitive Haptic Feedback. Strongly supports Navy-wide efforts to replace metal controls & displays with augmented reality controls & displays that move with you no matter where you are. If one warfighter’s display goes down any other WARC-H (Wearable Augmented Reality Controls with Haptic Feedback), user can take their place.
The U.S. Navy must maintain and expand its anti-submarine warfare (ASW) capabilities. Warfighter readiness is the linchpin of the Navy's ASW strategy, the complexity of the ASW domain necessitates time-consuming training, and practical experiences to transfer skills to the operational environment. An innovative training approach is needed to accelerate mastery and foster transfer of ASW skills. Tier 1 Performance Solutions' Transformation Accelerated through Redesign, Guidance, and Enhanced Training (TARGET) is comprised of two components: (1) a task-centered instructional design strategy for ASW education, and (2) a performance support tool to assist ASW instructors as they apply task-centered instructional design. The tool greatly expands the impact of our solution by allowing instructors to apply the task-centered learning approach to other ASW topics and throughout Navy schoolhouse training.
Freedom Photonics is developing a Built-In-Test (BIT) methodology and hardware for fiber-optic plant on F-35, which provides a cost-effective in-situ network health monitoring and installed network port position identification without degrading the ongoing communications on the same fiber link. Freedom Photonics is a manufacturer of unique and innovative photonic components, modules and subsystems. Our approach leverages our existing tunable swept laser technology, and provides a scalable solution for many network ports, while allowing for both BIT and network intelligence. To date, Freedom Photonics has developed and demonstrated the feasibility and the merit of a novel approach of incorporating O-Band gratings and O-Band interrogators into the existing planned architecture. Besides working with LMCO, we are looking for other customers for this technology and transition partners.
The Modulated Underwater Laser Imaging System (MULIS) provides an improved method for observing mines through turbid water. The device creates images at a further distance and with better resolution, so that the mines may not only be detected but imaged and identified. MULIS is built on SA Photonics’ proven Modulated Imaging Lidar Optical Source (MILOS) laser source, and will be mounted on an autonomous underwater vehicle. The company, which specializes in the development of advanced photonics systems to solve demanding problems for military and commercial customers, envisions its own small-scale production as well as teaming with well-known primes, as it has on past product developments.
Quantum Semiconductor LLC is a fabless semiconductor company developing Complementary metal–oxide–semiconductor (CMOS) Image Sensors (CIS) with new photo-diode technology incorporating new CMOS-compatible optoelectronic materials. Foundry-fabricated photo-diodes exhibit high gain, which will enable single-photon counting, at low voltages compatible with standard CMOS circuitry. These ultra-sensitive pixels for visible and infra-red can be applied to passive imaging, Light Detection and Ranging (LIDAR), or LAser Detection And Ranging (LADAR). The photo-diode for operation in the visible and near-infra-red range, and custom circuitry, are protected by 13 US patents. A proprietary Monte-Carlo semiconductor device simulator has been developed to model the new physics in order to maximize the performance. Quantum Semiconductor is seeking strategic partnerships with prime defense contractors, or semiconductor companies, or investment from venture capital.
The technology consists of a specialized powder feedstock for 3D printing of energetic structures utilizing Hewlett-Packard’s commercial-off-the-shelf line of 3D printers. The initial target application of the developed technology is ongoing research into novel shaped charges, for maximizing payload efficiency. Initial material formulations have been synthesized and tested on test beds simulating a production scale 3D printer. Sustained competitive advantage is provided as the technology being developed allows for low cost, low waste deployment of customized energetic structures with decreased lead times while being based on a decentralized production chain. E&G Associates specializes in the development of custom powder materials and processes with an emphasis on practical engineering techniques.
Radar, electronic support measures (ESM), a.k.a. anti-radiation homing (ARH), and electro-optical (EO)/imaging infrared (IIR)/laser detection and ranging (LIDAR) currently provide different sensor phenomenology that can lead to different salient feature manifestation that depends on operating conditions (e.g., acquisition geometry) and scene content type. Current technology approaches develop automatic target recognition (ATR) systems for a single sensor, each designed to exploit the salient features specific to each sensor type, which leads to suboptimal classification performance for each sensor type and not a higher confidence performance by combining independent sensor data into a single solution. The capability to combine the salient feature information from the different sensors to get improved target classification, and possibly identification, of the ships, is needed. We propose a two-prong machine learning approach that simultaneously uses two complementary techniques, deep learning convolutional neural network (CNN) and compressive manifold learning (CML), to exploit the automatic feature and regularities discovery of deep learning to fuse the multiple sensor data and the sparsity representation of the data in manifold learning to fuse the raw sensor data as represented by their highly compressed lower-dimensional manifolds. This two-prong approach combines with the baseline handcrafted features used to augment the features discovered by the deep learning CNN algorithm, will provide unprecedented robust ship classification and potentially identification performance. For operational utility, we will leverage industry commercial off the shelf (COTS) multi-core graphical processing units (GPUs) processors such as those already developed by NVIDIA and Intel specifically for deep learning implementations.