{"project":{"acronym":"","projectId":90484,"title":"Stakeholder Web-based Interrogable Federated Toolkit (SWIFT)","primaryTaxonomyNodes":[{"taxonomyNodeId":10949,"taxonomyRootId":8816,"parentNodeId":10946,"level":3,"code":"TX15.1.3","title":"Aeroelasticity","definition":"Aeroelasticity is the coupled interaction of vehicle aerodynamics with vehicle structures and control systems, including static aeroelastic deformation, flutter, buffet, control surface buzz, aeroservoelasticity, and limit cycle oscillations.","exampleTechnologies":"Computational aeroelastic tools coupling Computational Fluid Dynamics (CFD) with structural dynamics methodologies to predict flutter, buffet, limit cycle oscillations and aeroservoelastic interactions; advanced unsteady CFD techniques to predict nonlinear fluctuating pressure fields for launch vehicle and aircraft buffet, control surface buzz and other nonlinear aero structural interactions; advanced ground test techniques and strategies to simulate and predict the performance of coupled aero/structural systems as well as complex unsteady flows and loads; advanced aircraft systems such as truss-braced wing and other concepts based on high aspect ratio wing configurations enabled by advanced static and dynamic aeroelastic prediction methodology; active flutter suppression; aeroelastic tailoring; active static/buffet/gust load alleviation","hasChildren":false,"hasInteriorContent":true}],"startTrl":1,"currentTrl":2,"endTrl":2,"benefits":"Within NASA, the immediate application is as a useful user interface for the SMART-NAS system. Imagine a researcher being able to access SMART-NAS from his desktop and generate a useful result from otherwise complicated and hard-to-use models. Imagine what a game-changer it would be if FAA analysts could run a system-wide study using the NASA-developed ACES model with a few clicks of a button? In the meantime, the PQL statements provide a useful common language in which different analysts from different organizations, using both publicly-available as well as proprietary models, can communicate. A user from the FAA�s Technical Center using their SIMMOD program can generate a PQL statement describing their use of SIMMOD in a way that an analyst at NASA Ames Research Laboratory, who is skilled in ACES but otherwise unaware of SIMMOD, can understand. In other words, the researcher at the Tech Center has, in a few short lines of text, described completely to the researcher at Ames what s/he is doing with SIMMOD. The Ames researcher should be able to replicate that analysis within ACES (assuming that the analysis is based on features that are available in both models, even if implemented entirely differently). In other words, the SWIFT system, with its embedded PQL, allows communication between researchers to occur in a manner heretofore difficult, if not practically impossible
Outside of NASA, we imagine that desktop analysis engines would become commonplace in the future. Database systems will be extended to include whole models to populate tables, and predictive querly languages like PQL will become a standard. In the future, fast-running (or even slow-running) models will be invoked through web-formatted PQL statements much like extant data can be easily accessed from a desktop using web-generated SQL statements. Data mining, which for now relies on existing data to predict future trends, will be extended to include model-based future predictions to create future data for which future trends will be uncovered. Data mining both past and predicted future data will be a burgeoning field that will extend the scope and reach of analysts. Is this vision too far-fetched? That beyond NASA, a system such as PQL will become standard and open the door to new horizons? We believe that this vision, if anything, is too restrictive. The explosion of computing technology in the future, with the advent of qbit-based Quantum Computers, as well as the under-exploitation of computer technology today, will provide a new platform on which future analysts will be able to conduct research in ways currently unimaginable. A system like SWIFT will likely exploit these capabilities.","description":"The chief innovation is the development of a Predictive Query Language that populates databases with future information provided from aviation models, along with integration to social media networking to augment research, with an overarching web-based system for finding and generating aviation-oriented research questions. The innovation is intended to aid stakeholders in their analysis of current trends and future concepts, and to show its utility we propose using the toolkit to investigate the Trajectory-Based Operations concept, in particular how the future state of the NAS as predicted by the federated models will be different with TBO than without it. NASA is interested in enhancing system capacity by using existing aviation assets more efficiently or by expanding capacity through new technology or smart infrastructure planning. One aspect that is key to this idea is the involvement of the stakeholders, in particular the airlines and the traveling public. Stakeholder involvement is key to many FAA programs, and stakeholders are often represented during NASA programs. Increasing stakeholder involvement, and including the traveling public in some of the projects, will help focus NASA research energy towards high-impact areas that are likely to result in earlier concept implementation. In addition, NASA is interested in using existing models more effectively, allowing past investment on models to yield future returns. The proposed PQL is a large step in that direction. The proposed SWIFT program enables answering vital questions about existing projects as well as providing the stakeholder involvement to enhance new projects. The concept is to integrated existing models and insights from social media into a web-based tool that allows stakeholders (including NASA) to ask and answer �what if� questions about various topics easily and conveniently. The insights provided by the answers will help guide stakeholder decision making.","startYear":2016,"startMonth":6,"endYear":2016,"endMonth":12,"statusDescription":"Completed","principalInvestigators":[{"contactId":2362946,"canUserEdit":false,"firstName":"Frederick","lastName":"Wieland","fullName":"Frederick P Wieland","fullNameInverted":"Wieland, Frederick P","middleInitial":"P","primaryEmail":"fwieland@i-a-i.com","publicEmail":true,"nacontact":false},{"contactId":156486,"canUserEdit":false,"firstName":"Frederick","lastName":"Wieland","fullName":"Frederick Wieland","fullNameInverted":"Wieland, Frederick","primaryEmail":"fwieland@i-a-i.com","publicEmail":true,"nacontact":false}],"programDirectors":[{"contactId":206378,"canUserEdit":false,"firstName":"Jason","lastName":"Kessler","fullName":"Jason L Kessler","fullNameInverted":"Kessler, Jason L","middleInitial":"L","primaryEmail":"jason.l.kessler@nasa.gov","publicEmail":true,"nacontact":false}],"programExecutives":[{"contactId":215154,"canUserEdit":false,"firstName":"Jennifer","lastName":"Gustetic","fullName":"Jennifer L Gustetic","fullNameInverted":"Gustetic, Jennifer L","middleInitial":"L","primaryEmail":"jennifer.l.gustetic@nasa.gov","publicEmail":true,"nacontact":false}],"programManagers":[{"contactId":62051,"canUserEdit":false,"firstName":"Carlos","lastName":"Torrez","fullName":"Carlos Torrez","fullNameInverted":"Torrez, Carlos","primaryEmail":"carlos.torrez@nasa.gov","publicEmail":true,"nacontact":false}],"projectManagers":[{"contactId":2366793,"canUserEdit":false,"firstName":"Cedric","lastName":"Walker","fullName":"Cedric T Walker","fullNameInverted":"Walker, Cedric T","middleInitial":"T","primaryEmail":"cedric.t.walker@nasa.gov","publicEmail":true,"nacontact":false},{"contactId":461333,"canUserEdit":false,"firstName":"Theresa","lastName":"Stanley","fullName":"Theresa M Stanley","fullNameInverted":"Stanley, Theresa M","middleInitial":"M","primaryEmail":"theresa.m.stanley@nasa.gov","publicEmail":true,"nacontact":false}],"website":"","libraryItems":[{"file":{"fileExtension":"pdf","fileId":299451,"fileName":"SBIR_2016_1_BC_A3.01-7633","fileSize":186368,"objectId":295989,"objectType":{"lkuCodeId":889,"code":"LIBRARY_ITEMS","description":"Library Items","lkuCodeTypeId":182,"lkuCodeType":{"codeType":"OBJECT_TYPE","description":"Object Type"}},"objectTypeId":889,"fileSizeString":"182.0 KB"},"files":[{"fileExtension":"pdf","fileId":299451,"fileName":"SBIR_2016_1_BC_A3.01-7633","fileSize":186368,"objectId":295989,"objectType":{"lkuCodeId":889,"code":"LIBRARY_ITEMS","description":"Library 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To","relatedProjectId":93781,"relatedProject":{"acronym":"","projectId":93781,"title":"Stakeholder Web-Based Interrogable Federated Toolkit (SWIFT)","startTrl":2,"currentTrl":4,"endTrl":4,"benefits":"NASA applications include the following: As an interface to NASA's SMART-NAS system, SWIFT provides a \"Software as a Service\" (SaaS) model, the first of its kind, to the aviation community. NASA can offer its various tools (ACES, FACET, Sherlock and others) as a service that is accessible through SWIFT and connected through SMART-NAS. As an engine that connects to a database such as the NASA-developed Sherlock system, SWIFT can access that data to configure fast-time and real-time models that can make future projections. These future projections can be stored back into the database (if needed) and become accessible to other NASA analysts. As a stand-alone analysis engine, SWIFT can be used by NASA and non-NASA government employees to refine a study question (through PQL statements) and to execute the resulting analysis using the federated toolkit attached to the SWIFT web-based interface. As a tool to express analyses in standard format, NASA and other government researchers can use PQL statements, in a stand-alone mode, to specify research questions that can be shared with other researchers in a clear, easy-to-understand language that is compilable to actionable requests for aviation simulations. As a language that transcends aviation applications, PQL can be used for any projection of the future state of any system, including planetary systems, cosmological investigations, projections of the spread of disease, and so forth.
The potential non-NASA applications are isomorphic to the NASA applications except with a commercial intent. The SWIFT interface and IAI's government off-the-shelf federated toolkit can be used by aviation consultants, industry analysts, and other firms investigating one-off or multiple problems in aviation analysis. Example questions might be \"If NextGen is configured to use performance-based navigation (PBN) approaches at [name an airport such as Miami International], what will be the effect on noise for the surrounding population?\" Such a question would be formulated as a PQL statement, which would require precise specification of the metrics involved and the configuration of the simulation tools (traffic, weather, PBN routes). The smart phone pilot app can be used to plan a pilot's work day, allowing the pilot to access all available information about the airports of interest.. The PQL statements can be expanded to include non-aviation applications, such as applications in medicine, earthquake prediction, other scientific areas, and sociological projections.","description":"There are three innovations in this proposed SWIFT project, all of which were identified during earlier effort. The first innovation involves the development of a web-accessible model invocation engine (the \"Web-based\" part of SWIFT) which was prototyped earlier, demonstrated to NASA/Ames in December 2016, and will be fully developed in the current proposed projectI. This model invocation engine can be used as a front end to SMART-NAS and can potentially transforms NAS simulations into a Software as a Service (SaaS) model. This transformation will make it practical for NAS analyses to be run anywhere, and its design is compatible with the Data Distribution System (DDS) engine inside of SMART-NAS as well as with the Sherlock database system maintained by NASA. The second innovation, which is coupled with the first, is a standard modeling language, which we call the Predictive Query Language, or PQL (the \"Interrogable\" part of SWIFT). PQL is a powerful language for coordinating model runs across the distributed SMART-NAS environment, or any other model-based infrastructure. The final innovation involves developing applications (\"app\") that run on both Apple IOS and Google Android smart phones that enable commercial pilots to easily access the status of the NAS (the \"Stakeholder\" part of SWIFT). This app can access the current state stored in SMART-NAS or any other NAS data repository.","startYear":2017,"startMonth":4,"endYear":2020,"endMonth":6,"statusDescription":"Completed","website":"","program":{"acronym":"SBIR/STTR","active":true,"description":"
The NASA SBIR and STTR programs fund the research, development, and demonstration of innovative technologies that fulfill NASA needs as described in the annual Solicitations and have significant potential for successful commercialization. If you are a small business concern (SBC) with 500 or fewer employees or a non-profit RI such as a university or a research laboratory with ties to an SBC, then NASA encourages you to learn more about the SBIR and STTR programs as a potential source of seed funding for the development of your innovations.
The SBIR and STTR programs have 3 phases:
The SBIR and STTR Phase I contracts last for 6 months with a maximum funding of $125,000, and Phase II contracts last for 24 months with a maximum funding of $750,000 - $1.5 million.
Opportunity for Continued Technology Development Post-Phase II:
The NASA SBIR/STTR Program currently has in place two initiatives for supporting its small business partners past the basic Phase I and Phase II elements of the program that emphasize opportunities for commercialization. Specifically, the NASA SBIR/STTR Program has the Phase II Enhancement (Phase II-E) and Phase II eXpanded (Phase II-X) contract options.
Please review the links below to obtain more information on the SBIR/STTR programs.
Provides an overview of the SBIR and STTR programs as implemented by NASA
Provides access to the annual SBIR/STTR Solicitations containing detailed information on the program eligibility requirements, proposal instructions and research topics and subtopics
Schedule and links for the SBIR/STTR solicitations and selection announcements
Federal and non-Federal sources of assistance for small business
Search our complete archive of awarded project abstracts to learn about what NASA has funded
Still have questions? Visit the program FAQs
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The SBIR and STTR programs have 3 phases:
The SBIR and STTR Phase I contracts last for 6 months with a maximum funding of $125,000, and Phase II contracts last for 24 months with a maximum funding of $750,000 - $1.5 million.
Opportunity for Continued Technology Development Post-Phase II:
The NASA SBIR/STTR Program currently has in place two initiatives for supporting its small business partners past the basic Phase I and Phase II elements of the program that emphasize opportunities for commercialization. Specifically, the NASA SBIR/STTR Program has the Phase II Enhancement (Phase II-E) and Phase II eXpanded (Phase II-X) contract options.
Please review the links below to obtain more information on the SBIR/STTR programs.
Provides an overview of the SBIR and STTR programs as implemented by NASA
Provides access to the annual SBIR/STTR Solicitations containing detailed information on the program eligibility requirements, proposal instructions and research topics and subtopics
Schedule and links for the SBIR/STTR solicitations and selection announcements
Federal and non-Federal sources of assistance for small business
Search our complete archive of awarded project abstracts to learn about what NASA has funded
Still have questions? Visit the program FAQs
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