The next-generation network is body of key architectural changes in telecommunication core and access networks. The general idea behind the NGN is that one network transports all information and services by encapsulating these into packets, similar to those used on the Internet. NGNs are commonly built around the Internet Protocol, and therefore the term all IP is also sometimes used to describe the transformation of formerly telephone-centric networks toward NGN.The concept of future Internet refers instead to how the Internet itself might evolve. Wikipedia.
NextGen | Date: 2017-02-15
The invention relates to medicine, particularly to the construction of the bone substitutes efficient in large bone defects repair. The inventive method for constructing such medical products includes three-dimensional printing of bioresorbable scaffold and its activation by gene constructions. Produced by proposed methods medicinal products may serve as an efficient alternative to bone autografts.
NextGen | Date: 2016-03-15
A nucleic acid or transgene comprising a modified VEGF 3-untranslated region (3-UTR) polynucleotide sequence and a polynucleotide sequence encoding a Vascular Endothelial Growth Factor (VEGF). When transformed into a host cell, the nucleic acid or transgene exhibits a high stability and provides prolonged and reliable expression of VEGF. A method for extending the lifetime of transgene mRNA encoding VEGF in a mammalian host cell. A method for treating a subject in need of increased or modified expression of VEGF using this nucleic acid or transgene.
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 374.89K | Year: 2016
Increasing system capabilities in terms of weapon systems, ISR payloads, GNC, etc., enabled by smaller and more capable electronics systems have led to a trend for overall size reduction in military aircraft. This has resulted in a reduction in the avail...
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase II | Award Amount: 1000.00K | Year: 2016
The goal of the proposed Phase II research is to perfect the graphene dispersion and mixing techniques and demonstrate that the graphene enhanced double base propellant (GEP) is as insensitive as the base propellant. In Phase I, limited experimental evaluation.
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase II | Award Amount: 995.33K | Year: 2015
Building upon a successful Phase I effort where we demonstrated the viability of multiple transparent conductive material to be used as an antenna as well as the self-healing properties of our polymer encapsulant we will test the transparent antenna patterns before selecting a final material to be used for further testing. The main focus of the proposed effort is to integrate the transparent antenna and self-healing polymer as an interlayer in the existing glass laminate manufacturing process, verify ballistic properties of the laminate, and demonstrate antenna performance post-impact. To aid in this objective we are teaming with GK Materials, who has exclusive rights to the SH polymer used in the Phase I, and American Defense Systems, who designs and sells of transparent armor to defense and commercial users.
Agency: Department of Defense | Branch: Air Force | Program: STTR | Phase: Phase I | Award Amount: 149.91K | Year: 2015
ABSTRACT: Two accelerating trends in military aircraft design and development are apparent: (1) increasing system capabilities in terms of weapon systems, ISR payloads, guidance, navigation and control (GNC), etc., enabled by ever-smaller and evermore capable electronics; and (2) reduction in overall size and available space for auxiliary equipment (and associated wiring, etc.) to measure and assess performance during test and evaluation. In view of this, there is a need to develop (structurally) integrated sensing and data collection/transmission systems which can take advantage of the large area of the aircraft skin and internal structure. Building on NextGens wind tunnel and flight test model development, Sandias work on MEMS sensors, and Newtons experience in additive manufacturing we will develop concepts and techniques to integrate sensing, power, data storage, and communication capabilities in aircraft structures to significantly enhance flight and wind tunnel testing. We will focus on high-density, low form factor, low power sensor arrays for measuring dynamic pressures, strains and temperature. During the Phase I effort we will design, fabricate and test a proof-of-concept structure with integrated sensors, and wireless data transfer capabilities meeting requirements which can be traced to flight test aircraft and wind tunnel model test and evaluation requirements. BENEFIT: The NextGen Team will leverage Sandias work on MEMS pressure transducers, and NextGen patented strain sensors arrays and sensor packages to develop and validate low-cost, high-fidelity, low form factor sensors during the proposed effort. These small sensors can then be arrayed onto an applique in varying densities to provide a flight test vehicle or wind tunnel model with a distributed sensing network during testing. These compact sensing systems are especially useful considering the continued emphasis on miniaturized vehicles and components. These small systems must still be tested and validated before deployment. The teams expertise in additive manufacturing and NextGen expertise in design, manufacture, and testing of high-fidelity flexible wind tunnel models will ensure development of viable concepts and techniques by end of Phase I. The developed concepts will be directly applicable to wind tunnel testing, and will lead to design of a drop-in replacement panel for flight test vehicles, where a standard skin panel is replaced with a similar panel containing a suite of embedded sensors, geared towards the desired test regime.
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 149.97K | Year: 2015
ABSTRACT:Historically, including weather advice within on-going deliberations and planning has relied largely on a time consuming process of disconnected mental fusion of various sources from different systems to gain a shared understanding of the natural battlespace. The application of weather advice on a near real-time basis has been largely ignored except for very specific missions and locations. The proposed IMPACT system promises to provide innovative/revolutionary ways of dynamically generating/assessing weather constraints on military operations and incorporating the results (weather risk management/advice) into active, agile decision-support applications within high tempo, dynamic environments. It offers a novel approach that: addresses high dimensionality, is built for massive scalability, incorporates uncertainty, produces actionable advice, and is interoperable with USAF systems. During Phase I, the project team will conduct research, design, and prototyping of the IMPACT system in order to assess and demonstrate the technical feasibility of the solution.BENEFIT:Our proposed approach will offer Decision Support Applications, a new set of services and components that can be used to efficiently request constraint generation for planned operational activities and receive actionable advice. This capability could support many USAF weather systems such as JET and WDAC as well as similar systems at US Navy and NOAA. Additionally, many different C2ISR systems (e.g., AMC, NASIC, DCGS-AF, DCGS-A) require similar weather impact/effects analysis.
Agency: National Aeronautics and Space Administration | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 121.63K | Year: 2016
The innovation is a fast, lightweight, and miniaturized Robotic Variable Interference Filter Imaging Spectrometer (R-VIFIS) for a 350-2500nm wavelength range. A pair of custom narrow band Linear Variable Interference Filters (LVIFs) is tailored with 350-900nm range (VNIR) and 900-2500nm range (SWIR) wedge coatings for a 35mm format CMOS Focal Plane Array (FPA) and a 384x288 pixel 24um pitch FPA respectively. A pair of monolithic LVIF-FPA devices, each having its VNIR or SWIR LVIF coating precisely aligned and mounted in contact with its FPA sensing surface, are designed and assembled. Miniaturized robotic devices are developed to precisely position the LVIF-FPAs at a fast speed. A prototype R-VIFIS integrates fast frame robotic positioning LVIF-FPAs behind a pair of co-boresighted 35mm film format lenses for fast LVIF HyperSpectral Imaging (HSI), taking 224 contiguous spectral bands into a 350-2500nm range datacube in 300 and a spectral resolution of 1% center wavelength at each band. Tightly integrated with GPS/INS with real time embedded computing, R-VIFIS collects directly georeferenced photographic perspective HSI measurement with a throughput up to 1.65GB/sec, providing simultaneously high spectral, spatial, radiometric, and temporal resolutions. A typical R-VIFIS photographic perspective datacube, consisting of well fused 6480x5400 pixel VNIR bands and 1580 x1300 pixel SWIR bands. R-VIFIS is versatile and easily-deployable. It is operational on a tripod, surface vehicles, aerostats, and fixed/rotating wing aerial platforms for field/aerial 3D imaging spectroscopy. It is also well suited to be gimbaled for wide angular field of view and long distance enhanced remote sensing.
Agency: National Aeronautics and Space Administration | Branch: | Program: STTR | Phase: Phase I | Award Amount: 115.82K | Year: 2016
NextGen Federal Systems proposes an innovative SPace Radiation INTelligence System (SPRINTS) which provides an interactive and web-delivered capability that significantly improves long-range forecasts (2-3 days), all-clear forecasts, and forecast accuracies of solar particle events (SPEs). SPRINTS provides SPE-related data, visualizations, and forecasts that leverage and integrate two complimentary and cutting-edge foundational space weather systems: Magnetogram Forecast (Mag4) and Space Weather Information System (SWIS). The integration of these two capabilities with the addition of an intuitive/interactive user interface and advanced data analysis/forecasting capabilities provides SPRINTS users with the unique ability to effectively explore SPE data and forecasts relevant to their asset(s) and data needs. While leveraging and delivering the forecasts produced by Mag4, the SPRINTS forecast system will use machine-learning and expert-guided statistical analyses to explore new models based, not only on data provided by Mag4 and SWIS, but designed to incorporate other SPE-relevant datasets. SPRINTS also incorporates information about specific space and airborne assets that are entered by individual users and organizations. This information will be integrated with the SPRINTS radiation environment models and engineering models of the predicted impact of SPEs to specific hardware and instruments. SPRINTS serves as a platform to deliver SPE-based operational products covering monitoring, forecasting, and impact analysis of SPEs to help define mission planning, operations, evaluation, and safety.
Agency: Department of Defense | Branch: Defense Advanced Research Projects Agency | Program: SBIR | Phase: Phase II | Award Amount: 1.50M | Year: 2014
Significant resources are required to ensure proper self-localization of submersibles without available reference signals such as GPS or LBL. This is compounded, when the vehicle remains submerged for extended periods of time which is often required for reconnaissance missions. In the case of a miniature autonomous underwater vehicle (AUV), the self-localization challenge extends well beyond INS filtering. Although, position and velocity sensor systems (DVLs) have been successfully designed for large and medium scale submarines, the miniaturization of those sensor components still poses a significant challenge. To close this technological gap, the NextGen team proposes the development of a sonar-based miniature navigation sensor system that aims to challenge the weight, size, cost as well as performance specifications imposed by small and miniature AUVs. The proposed solution will combine advanced sonar technology with software modules capable of deducing the vehicle kinematics, i.e. position and velocity, in real time. The NextGen, Virginia Tech and Lockheed Martin team combines year-long expertise in i) sensor calibration and underwater navigation, ii) system integration, and iii) image processing and state estimation. For performance demonstration, the team plans to integrate the sensor into either VTs 690 AUV or NextGens Unmanned Underwater Riverine Craft (UURC).