You are here

Closed

Reset

NOTE: The Solicitations and topics listed on this site are copies from the various SBIR agency solicitations and are not necessarily the latest and most up-to-date. For this reason, you should visit the respective agency SBIR sites to read the official version of the solicitations and download the appropriate forms and rules.

Displaying 131 - 140 of 18910 results
  1. N162-078: Adaptive Hull Structure

    Release Date: 04-22-2016Open Date: 05-23-2016Due Date: 06-22-2016Close Date: 06-22-2016

    TECHNOLOGY AREA(S): Ground/Sea Vehicles ACQUISITION PROGRAM: PM, Advanced Amphibious Assault OBJECTIVE: The objective is the development of an innovative simple method of deployable/retractable hull modification allowing higher water speed movement of an amphibious vehicle. DESCRIPTION: With the cancelation of the Expeditionary Fighting Vehicle (EFV) program there still exists within the Marine Co ...

    SBIRPhase IDepartment of DefenseNavy
  2. AF141-031: Adaptive, Immersive Training to Counter Deception and Denial Tactics, Techniques and Procedures (TTPs) for C4ISR Networks

    Release Date: 11-20-2013Open Date: 12-20-2013Due Date: 01-22-2014Close Date: 01-22-2014

    OBJECTIVE: Develop a cyber-training environment that represents current actual environments and can be easily adapted by the users to support different training requirements. DESCRIPTION: Cyber warfare is no longer a nascent domain with few players and negligible consequences. In the past two decades, state and non-state actors have repeatedly demonstrated the capability and intent to exer ...

    SBIRPhase IDepartment of DefenseAir Force
  3. OSD11-CR1: Adaptive, individualized training assessment capability (AITAC)

    Release Date: 07-28-2011Open Date: 08-29-2011Due Date: 09-28-2011Close Date: 09-28-2011

    TECHNOLOGY AREAS: Information Systems, Human SystemsOBJECTIVE:  The objective of this topic is to develop and implement a technique for building individualized representations of trainee performance that can be used to assess current performance and to forecast future training needs.

    SBIRPhase IDepartment of DefenseArmy
  4. AF141-025: Adaptive Instruction Authoring Tools

    Release Date: 11-20-2013Open Date: 12-20-2013Due Date: 01-22-2014Close Date: 01-22-2014

    OBJECTIVE: Develop and demonstrate tools that will allow subject matter experts (SMEs), instructional system designers (ISDs) and software engineers to produce simulation-based intelligent tutors and adaptive instruction more efficiently. DESCRIPTION: The impact of intelligent tutoring systems and other forms of adaptive training technologies for promoting learning and subsequent performa ...

    SBIRPhase IDepartment of DefenseAir Force
  5. N24A-T013: Adaptive Instructor Aid for Virtual Reality/Augmented Reality Enabled Classroom Training

    Release Date: 11-29-2023Open Date: 01-03-2024Due Date: 02-21-2024Close Date: 02-21-2024

    OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Advanced Computing and Software OBJECTIVE: Develop a system for real-time monitoring of student performance and performance-driven instructional adaptation within an immersive (that is, virtual or augmented reality enabled) training experience. DESCRIPTION: Virtual Reality (VR) and Augmented Reality (AR) are becoming more common in Navy training as i ...

    STTRPhase IDepartment of DefenseNavy
  6. A14-077: Adaptive Inter-Cylinder Output Balancing System (AICOBS)

    Release Date: 11-20-2013Open Date: 12-20-2013Due Date: 01-22-2014Close Date: 01-22-2014

    OBJECTIVE: Develop an in-vehicle, software system, for an electronically-controlled diesel engine fuel system, to adaptively reduce inter-cylinder variability in output, in real-time, resulting in improved engine output, reliability, and fuel economy. DESCRIPTION: All multi-cylinder internal combustion engines exhibit imbalance in power output between cylinders. This is due to necessary har ...

    SBIRPhase IDepartment of DefenseArmy
  7. AF12-BT14: Adaptive multi-sensor wide area situational awareness system

    Release Date: 07-26-2012Open Date: 08-27-2012Due Date: 09-26-2012Close Date: 09-26-2012

    OBJECTIVE: Develop machine learning technology that can significantly improve warfighter wide area situational awareness based on multiple sensors. DESCRIPTION: Layered sensing enables situational awareness (SA) about an area of interest (AOI) by providing multiple high-resolution views of the area. SA in a wide area of operations is particularly challenging as the sensor resources have to b ...

    STTRDepartment of DefenseAir Force
  8. N211-065: Adaptive Narrowband Trainer

    Release Date: 12-08-2020Open Date: 01-14-2021Due Date: 03-04-2021Close Date: 03-04-2021

    RT&L FOCUS AREA(S): General Warfighting Requirements TECHNOLOGY AREA(S): Human Systems The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Part ...

    SBIRPhase I/Phase IIDepartment of DefenseNavy
  9. 32b: Adaptive Online Machine Learning for Dynamic Beam Diagnostics

    Release Date: 12-14-2020Open Date: 12-14-2020Due Date: 02-22-2021Close Date: 02-22-2021

    b. Adaptive Online Machine Learning for Dynamic Beam Diagnostics Particle accelerators are large complex systems composed of hundreds to thousands of interconnected electro-magnetic components including radio frequency (RF) resonant accelerating structures for beam acceleration and longitudinal focusing and various magnets for beam steering and transverse focusing. Charged particle beams are ...

    SBIR/STTRPhase IDepartment of Energy
  10. C56-39b: Adaptive Online Machine Learning for Dynamic Beam Diagnostics

    Release Date: 12-12-2022Open Date: 12-12-2022Due Date: 02-23-2023Close Date: 02-23-2023

    C56-39b FY 2023 Phase I Release 2 Department of Energy ...

    SBIR/STTRPhase IDepartment of Energy
US Flag An Official Website of the United States Government