Monthly Archives: October 2016

AFRL Virtual Trusted Platform Module (vTPM) Award

AFRL-Rome has announced an award for the Virtual Trusted Platform Module.  The awardee is GrammaTech Inc. of Ithaca NY.  The award amount is $749,918.

AFRL Air Vehicle Energy Management RFI

AFRL has released an RFI on Air Vehicle Management, RFI-AFRL-RQKPD-2017-0001.

Air Vehicle Energy Management (AVEM) concepts “comprise technologies enabling control strategies to dynamically allocate energy resources in the electrical, thermal and mechanical domains over the mission and across aircraft subsystems.

Next generation aircraft have challenging electrical and thermal system requirements including: increased demands, decreased footprint availability (i.e. weight, volume and external sinks) and capped life cycle costs. The current dominant design paradigm attempts to isolates subsystems to mitigate unintended interactions and the complexity of system integration. However, this siloed design paradigm has generally reached a point of diminishing returns for expanding system capabilities solely through advances in individual components technologies. Control strategies for AVEM are expected to tap into latent system capability by facilitating more effective use of energy resources within and among subsystems. This would enable the integration of additional (possibly high power) payloads onto the aircraft.

The specific power and thermal subsystems of interest include: actuation, air cycle machines, engines, energy storage devices (e.g., passive, active, electrical, or thermal), electric distribution devices, fuel thermal management systems, generator and inverter converter controllers (ICC), and vapor cycle systems.

Broadly speaking, there is an interest in advancing AVEM technologies aligned with four guiding principles: Capability, Agility, Reliability and Affordability. In the following, the overall goals in developing an AVEM system are broken down along these guiding principles.”

Respondents to the RFI should answer the questions listed.  Responses are limited to 30 double-spaced pages and are due by December 12, 2016.

ONR Award to Frontier Technology

ONR has announced an award to Frontier Technology Inc. of Goleta, CA to “Research the application of the Rapid Resiliency Assessment Program (R2AP) Tool Suite as an innovative approach to evaluate the effect to the processes, structure, and environmental analysis capacities associated with planning to respond to Humanitarian Assistance / Disaster Response (HA/DR) efforts.”  The award amount is $149,989.

DARPA Mobile Force Protection (MFP) Program BAA

DARPA TTO has released the Mobile Force Protection (MFP) Program BAA, DARPA-PS-17-01.  The MFP Program will develop and demonstrate an integrated system prototype capable of defeating a raid of self-guided, small unmanned aircraft systems attacking a high value asset on the move.

“The rapid evolution of the commercial drone sector is fueling explosive growth and innovation in small Unmanned Aircraft Systems (sUAS) technology that is already creating new challenges for warfighters. The size and low cost of sUAS enable new concepts of employment that challenge our point defense systems. This program will consider sUAS to be fixed or rotary wing air vehicles of less than approximately 200 pounds. The Mobile Force Protection (MFP) program is an advanced technology prototype development program that will develop and demonstrate an integrated prototype system capable of defeating a raid of self-guided, small Unmanned Aircraft Systems attacking a high value asset on the move. The program places heavy emphasis on system demonstration events starting with an initial functionality at the end of Phase 1, progressively increasing in system functionality and culminating in full capability demonstration on a moving vehicle or vessel by the end of Phase 3. By focusing on protecting mobile assets in a variety of environments, the program will emphasize low footprint solutions in terms of size, weight, power (SWaP) and manning as well as varied and low collateral damage neutralization techniques and effectors.

The MFP program will “develop and integrate affordable technologies into a prototype system that has the capability to complete an engagement sequence within a compressed timeline while mitigating collateral damage. DARPA seeks a flexible framework to leverage existing systems and matured technologies as well as integrate new technologies. To remain relevant, an MFP system will need to be able to evolve rapidly and flexibly integrate new approaches and technologies. DARPA’s goal is to transition the prototype system to a broad number of potential Government and civilian users. System affordability and adaptability to host platforms (ground and maritime) will be major system design drivers and allow for the deployment of an effective deterrent and defensive capability to protect the full range of potential DoD, Homeland, and private sector assets.”

Up to $9.6M is available for multiple awards for Phase 1.  A classified addendum is available on request.  Abstracts are due November 10, 2016 and full proposals are due January 12, 2017.  A Proposers Day was held October 17, 2016.  The program manager is Mr. Jean-Charles Ledé.

mfp-illustration

Mobile Force Protection System Vision. A mobile force protection system could include distributed and/or elevated sensors and effectors networked to form a fused air surveillance picture, be organically controlled for fast decisive action, and provide multiple low-risk neutralization options.

DARPA SBIR Award to Accelogic

DARPA has announced an award to Accelogic, LLC for a Phase 2 SBIR.  The title of the award is “Enabling Extreme Acceleration of Graph Analytics in Real-world Applications” and the award amount is $505,000.

IARPA DNAtoFace RFI

IARPA has released a RFI titled “DNAtoFace”, IARPA-RFI-17-01.

Advancements in genetic phenotyping suggests the possibility of predicting a human’s facial structure or other attributes from DNA sequences. IARPA is interested in knowing whether single nucleotide polymorphisms (SNP) yield sufficient information for making such prediction or if the whole genome sequence is required.

Responses to this RFI should answer any or all of the following questions:

  1. What is the maturity and level of accuracy of genetic phenotyping outside of gender and genetic ancestry? Is additional information required to phenotype specific characteristics (e.g., height, eye color, skin tone, face structure, etc.)?
  2. Who are the major government, industry, and academic leaders in the field of genetic phenotyping?
  3. Compare and contrast the leading approaches and techniques for genetic phenotyping. Are any commercial capabilities available?
  4. What level of confidence are geneticists, scientists, or researchers able to predict major phenotype information (e.g., height, eye color, skin tone, face structure, etc.) from a whole DNA sequence? Is additional information outside the whole DNA sequence required?
  5. What is the impact of utilizing SNP as opposed to whole genome sequencing for predicting genotype to phenotype? Specifically, can facial structure prediction (phenotyping) be achieved with using just SNP? Will (and how will) this limit the accuracy of the predictions? Does the number of SNP collected (e.g., 500,000, 1,000,000, or 5,000,000) impact ability to predict a phenotype from genotype? Which specific SNP should be captured for a face structure phenotype prediction?
  6. How many subjects are needed to train a model to predict facial structure and appearance from both SNP and whole genome sequences? Is the required sample size different for SNP versus whole genome sequencing? Does ethnicity, age, or gender impact the required number of subjects?
  7. What large-scale SNP or whole genome sequence databases are available in government, academia, and industry? Do they contain corresponding face images? What are the terms of use for such databases?
  8. How will epigenetic factors play into any resulting analysis of attributes? What types of epigenetic tests and methodology should be considered?
  9. What types of statistical analysis have been done utilizing methods such as power analysis to determine how many subjects are needed to analyze non-disease based phenotypes? Please identify any research (peer reviewed or otherwise) that addresses the sampling needs from a theoretical or quantitative perspective.
  10. What other issues do you feel are important to being able to predict non-disease phenotypes from genetic information?

Responses to the RFI are due December 16, 2016.

AFRL Laser Advancements for Next-generation Compact Environments (LANCE) Briefing for Industry Day

The AFRL Directed Energy Directorate, Laser Division has released a notice for a Briefing for Industry (BFI) day, AFRL-RFI-RVKDL-2016-0001, at Kirtland AFB, New Mexico on December 6, 2016. The BFI will provide a summary of the upcoming Laser Advancements for Next-generation Compact Environments (LANCE) BAA.  The BAA will support the “elf-Protect High Energy Laser Demonstrator (SHiELD) Advanced Technology Demonstration (ATD) program. The briefing will provide industry with “an understanding of RD strategies, future directions, and business opportunities with AFRL/RDL.”

The objective of the BFI is to “provide a timely update to the Government-contractor community on the mission and vision of the LANCE project and how it relates to the overall SHiELD ATD. It provides a forum for industry to gain knowledge and insight into the Research & Development (R&D) RDL is pursuing by providing a thorough and comprehensive presentation of LANCE’s technical objectives. In addition, the BFI will offer ample opportunities to communicate directly with the presenters through one-on-one sessions which will be held after the briefing.”

Registration must be completed by November 21, 2016.

Army Utilizing New and Innovative Technologies for Long Range Fires Technology Development and Demonstration BAA

The US Army Aviation & Missile Research, Development & Engineering Center (AMRDEC) has released a BAA titled “Utilizing New and Innovative Technologies for Long Range Fires Technology Development and Demonstration”, BAA W31P4Q-17-R-0028.

Proposals are sought from offerors that are “adept to identify, develop, integrate and flight demonstrate emerging long-range missile system technologies in support of the Army’s Long Range Fires (LRF) combat mission. AMRDEC is inviting Offerors with demonstrated experience in the design, fabrication, integration, flight test, and fielding of tactical missile systems to submit Concept Papers and subsequently, upon express request by AMRDEC, formal Proposals. Concept Papers and proposals are to be focused on the design, fabrication, integration and flight-test demonstration of those component-level and system-level technologies necessary to enhance the range, precision and/or lethality of Army LRF against stationary and/or mobile land and/or sea targets, at ranges beyond 300 km, in all operating environments, while maintaining compatibility with the Army’s existing Multiple Launch Rocket System (MLRS) Family of Munitions (MFOM) Launch Platforms to the greatest extent possible.”

Technologies of interest include:

  1. Inertial Navigation Technology – Highly accurate, low cost inertial sensors enabling precision long range navigation in GPS degraded or denied environments;
  2. Multi-mode Seeker Technology – Active and/or passive seekers enabling target detection, acquisition, tracking, discrimination and aim-point selection in GPS degraded or denied environments;
  3. High-temperature “Seeker Friendly” Dome Materials – High temperature “seeker friendly” dome materials capable of withstanding the thermal environments resulting from extended range, high velocity flight profiles, while simultaneously maximizing RF/IR/etc. seeker performance;
  4. Signature Reduction Technology – Active and/or passive means of reducing the signature of the LRF Munition in the RF, IR and other common military detection bands;
  5. Warhead Technology – Kinetic and Non-Kinetic means of enabling enhanced lethality and reduced packaging envelopes (weight and/or volume);
  6. Digital Datalink Technology – Communication elements enabling secure smart-weapon network integration (aim-point coordination, arrival time synchronization, etc.);
  7. Propulsion Technology – Enhanced performance propulsion systems (solid rocket motor, hybrid, gel, liquid, air-breathing, etc.) enabling extended range LRF missions; and
  8. Attitude Control Technology – Enhanced performance altitude control systems (divert thrusters, canards, fins, jet vanes, etc.) enabling improved weapon system maneuverability, reduced packaging envelopes (weight and/or volume) and/or reduced power consumption.

AMRDEC is interested in demonstrating the resulting technology-driven performance enhancements via sub-scale or full-scale flight test, potentially utilizing Army-provided MFOM test assets.

This is a multi-stage proposal with the first stage being a summary concept paper up to 10 pages long.  The BAA is open for 1 year until October 24, 2017.

AFRL Common Development Environment (CDE) Award

AFRL-Rome announced an award for the Common Development Environment (CDE) to Aer Potentia LLC in Occoquan, VA.  The award amount is $4,195,099.

DARPA Synergistic Discovery and Design (SD2) Proposers Day

DARPA I2O has announced the Synergistic Discovery and Design (SD2) Proposers Day, DARPA-SN-17-06.

The SD2 program “aims to develop data-driven methods to accelerate scientific discovery and robust design in domains that lack complete models. Engineers regularly use high-fidelity simulations to create robust designs in complex domains such as aeronautics, automobiles, and integrated circuits. In contrast, robust design remains elusive in domains such as synthetic biology, neuro-computation, cyber, and polymer chemistry due to the lack of high-fidelity models. SD2 will develop tools to enable robust design despite the lack of complete scientific models.

Examples of complex systems where inventors lack complete scientific models to support their design efforts include biological systems that have millions of protein-metabolite interactions, neuro-processes that require computations across billions of neurons, cyber physical systems with millions of lines of code, and advanced materials influenced by millions of monomerprotein combinations. These systems are part of domains that exhibit millions of unpredictable, interacting components for which robust models do not exist, and internal states are often only partially observable. In such domains, small perturbations in the environment can lead to unexpected design failures, and the number of engineering variables required to characterize stable operational envelopes remains unknown.”

The Proposers Day will be held on Thursday, November 10, 2016, from 8:30 AM to 5:00 PM (ET) at the DARPA Conference Center, located at 675 N. Randolph Street, Arlington, Virginia, 22203. Advance registration is required at https://www.schafertmd.com/darpa/i2o/sd2/pd/ no later than 12:00 PM (ET) on November 7, 2016.  The program manager is Dr. Jennifer Roberts.