Developments in bridge design and analysis in recent years have created the need for improvements to cross-frame analysis and design for steel girder bridges. In the past, the configuration of cross-frame systems was generally based upon standard designs in which member sizes and layouts were dependent upon geometry and minimum member cross-section requirements. The opportunities for improvements to cross-frame analysis and design cover a variety of topics including: (1) improved definition of fatigue loading for cross frames in curved and/or severely skewed steel girder bridges analyzed using refined analysis methods; (2) implementation of stability bracing strength and stiffness requirements in the context of AASHTO Load and Resistance Factor Design (LRFD) bridge design; and (3) additional guidance for adjustment of the effective stiffness of cross-frame members in refined analysis models to reflect the influence of end connections on cross-frame member stiffness. Addressing these topics could result in a dramatic improvement in reliability and economy of cross frames for steel I-girder bridges.
The USAFA is seeking unclassified research white papers and proposals that do not contain proprietary information. If proprietary information is submitted it is the offerors' responsibility to mark the relevant portions of their proposal as specified in USAFA-BAA-2015. CAStLE performs a range of structural integrity research tasks in support of multiple Government, academic and commercial sponsors. Among these pursuits, CAStLE engages in a wide range of corrosion engineering and material science research efforts, with more emphasis on applied research, and that part of development not related to a specific system or hardware procurement.
Current CAStLE research strengths include: high temperature materials development; advanced barrier coatings; static strength, static stability design, corrosion modeling, prevention and control; validation testing, analysis and methods development; computational structural and fracture mechanics; failure analysis, flight data acquisition system development, installation, maintenance and data analysis; structural risk analysis, and support of the USAF Aircraft Structural Integrity Program (ASIP). The interaction between corrosion and cracking damage mechanisms and their effect on the structural integrity has been a long-standing interest of CAStLE. There is Department of Defense (DoD) level interest in material degradation in structures-to include corrosion, cracking and other service-related damage mechanisms. The DoD level material degradation interest is the subject of this CALL, while also serving a dual public purpose.
The Algorithmic Foundations (AF) program supports potentially transformative research and education projects advancing design and analysis of algorithms and characterized by algorithmic thinking accompanied by rigorous analysis. Research on algorithms for problems that are central to computer science and engineering, as well as new techniques for the rigorous analysis of algorithms, are of interest. AF supports theoretical research that bounds the intrinsic difficulty of problems to determine the measures of complexity in formal models of computation, classical or new. The goal is to understand the fundamental limits of resource-bounded computation and to obtain efficient algorithms operating within those limits. The time and space complexity of finding exact and approximate solutions in deterministic and randomized models of computation is a central concern of the program; research on resources other than time and space, such as communication and energy, is also encouraged. In addition to the traditional, sequential computing paradigm, AF supports research on the design and analysis of novel algorithms in parallel and distributed models, in particular, in heterogeneous multi-core and many-core machines; the computational models and algorithms that capture essential aspects of computing over massive data sets; and alternative forms of computation and information processing, including quantum computing and biological models of computation.
Reducing risk through improved drilling success rates is critical to securing financing and ultimately lowering overall costs for developing geothermal power projects. This success hinges on knowledge of the geological, geophysical, and geochemical characteristics that indicate geothermal favorability; along with improved coverage of data that are signatures of the key properties of temperature, permeability, and fluid. To this end, GTO is interested in projects that apply innovative exploration technologies to collect new data and/or apply new analysis methods to extract new value from data. Successful applications will focus on one of the regions identified in GTO?s Data Gap Analysis, and include a significant component of uncertainty analysis that directly demonstrates potential or real impact on success rates. Projects should lead to the development of a Geothermal Play Fairway, which details a specific region constrained through a favorabl e combination of structural and hydrological conditions.
The NRA covers all aspects of basic and applied supporting research and technology in space and Earth sciences, including, but not limited to: theory, modeling, and analysis of SMD science data; aircraft, scientific balloon, sounding rocket, International Space Station, CubeSat and suborbital reusable launch vehicle investigations; development of experiment techniques suitable for future SMD space missions; development of concepts for future SMD space missions; development of advanced technologies relevant to SMD missions; development of techniques for and the laboratory analysis of both extraterrestrial samples returned by spacecraft, as well as terrestrial samples that support or otherwise help verify observations from SMD Earth system science missions; determination of atomic and composition parameters needed to analyze space data, as well as returned samples from the Earth or space; Earth surface observations and field campaigns that support SMD science missions; development of integrated Earth system models; development of systems for applying Earth science research data to societal needs; and development of applied information systems applicable to SMD objectives and data. Awards range from under $100K per year for focused, limited efforts (e.g., data analysis) to more than $1M per year for extensive activities (e.g., development of science experiment hardware).
The Common Fund Program - Accelerating Translation of Glycoscience: Integration and Accessibility - aims to develop accessible and affordable new tools and technologies for studying carbohydrates that will allow biomedical researchers to significantly advance our understanding of the roles of these complex molecules in health and disease. This program will enable investigators who might not otherwise conduct research in the glycosciences, to undertake the study of carbohydrate structure and function.
In support of these aims, this FOA seeks applications for a community-driven project to develop computational and informatics tools for the manipulation, analysis, interpretation, and integration of glycoscience data. The product of this research will be accessible resources for analysis of carbohydrate and glycoconjugate structural, analytical, and interaction data, and integration of that information within the context of comparable gene, protein, and lipid data and databases.
Recent advances in communications, computation, and sensing technologies offer unprecedented opportunities for the design of cyber-physical systems with increased responsiveness, interconnectivity and automation. To meet new challenges and societal needs, the Energy, Power, Control and Networks (EPCN) Program invests in systems and control methods for analysis and design of cyber-physical systems to ensure stability, performance, robustness, and security. Topics of interest include modeling, optimization, learning, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation as well as risk management in the presence of uncertainty, sub-system failures and stochastic disturbances. EPCN also invests in adaptive dynamic programing, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN supports innovative proposals dealing with systems research in such areas as energy, transportation, and nanotechnology. EPCN places emphasis on electric power systems, including generation, transmission, storage, and integration of renewables; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory and economic structures and with consumer behavior. Also of interest are interdependencies of power and energy systems with other critical infrastructures. Topics of interest also include systems analysis and design for energy scavenging and alternate energy technologies such as solar, wind, and hydrokinetic. The program also supports innovative tools and test beds, as well as curriculum development integrating research and education. In addition to single investigator projects, EPCN encourages cross-disciplinary proposals that benefit from active collaboration of researchers with complementary skills.
Recent advances in communications, computation, and sensing technologies offer unprecedented opportunities for the design of cyber-physical systems with increased responsiveness, interconnectivity and automation. To meet new challenges and societal needs, the Energy, Power, Control and Networks (EPCN) Program invests in systems and control methods for analysis and design of cyber-physical systems to ensure stability, performance, robustness, and security. Topics of interest include modeling, optimization, learning, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation as well as risk management in the presence of uncertainty, sub-system failures and stochastic disturbances. EPCN also invests in adaptive dynamic programing, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN supports innovative proposals dealing with systems research in such areas as energy, transportation, and nanotechnology. EPCN places emphasis on electric power systems, including generation, transmission, storage, and integration of renewables; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory and economic structures and with consumer behavior. Also of interest are interdependencies of power and energy systems with other critical infrastructures. Topics of interest also include systems analysis and design for energy scavenging and alternate energy technologies such as solar, wind, and hydrokinetic. The program also supports innovative tools and test beds, as well as curriculum development integrating research and education. In addition to single investigator projects, EPCN encourages cross-disciplinary proposals that benefit from active collaboration of researchers with complementary skills.
The Sensors, Dynamics, and Control (SDC) program supports fundamental research on the analysis, measurement, monitoring and control of complex dynamical and structural systems, including development of new analytical, computational and experimental tools, and novel applications to engineered and natural systems. Program objectives are the discovery of new phenomena and the investigation of innovative methods and applications for dynamics, measurement, and control. Transformative research on complex networks, linear and nonlinear discrete or infinite dimensional systems spanning a multitude of time and length scales and physical domains are of interest, as are highly interdisciplinary projects and projects addressing security, resilience and sustainability. Basic research strongly motivated by industry needs or other real-life applications is welcome.The SDC program supports fundamental research on the theories of dynamical systems to uncover novel paradigms for modeling, control and analysis of dynamic phenomena and systems that undergo spatial and temporal evolution with applications crossing interdisciplinary boundaries, along with fundamental studies on stability, phase transitions, and wave propagation in complex and non-local media. Furthermore, the program supports fundamental research on monitoring, analysis, and decision-making processes for integrity monitoring, sensors reliability and safety of complex engineered systems, especially under conditions of uncertainty. Of interest is the investigation of big data (high-volume and high-speed) issues related to virtually-continuous streams of measurements from heterogeneous sensors for continuous systems monitoring. The SDC program also includes fundamental research on control theory and its applications. Topics of current interest include unconventional applications of control; the combined roles of feedback, feedforward and uncertainty; integrated feedback, communication and signal processing; and control conc
The CREATE program seeks proposals to develop, and experimentally test, systems that use crowdsourcing and structured analytic techniques (STs) to improve analytic reasoning. These systems will help people better understand the evidence and assumptions that support-or conflict with-conclusions. Secondarily, they will also help users better communicate their reasoning and conclusions. STs hold promise for increasing the logical rigor and transparency of analysis. They can help reveal underlying logic and identify unstated assumptions. Yet they are not widely used in the Intelligence Community or elsewhere-possibly because current versions are cumbersome or require too much time. Crowdsourcing has the potential to solve these problems by dividing the labor, allowing dispersed groups of analysts to contribute information and ideas where they have comparative advantages. Crowdsourcing can help analysts identify and understand alternative hypotheses, arguments, and points of view. Crowdsourcing of structured techniques may facilitate rational deliberation by integrating different perspectives, so that analysis can effectively benefit from "crowd wisdom."
The CREATE program seeks proposals to develop, and experimentally test, systems that use crowdsourcing and structured analytic techniques (STs) to improve analytic reasoning. These systems will help people better understand the evidence and assumptions that support-or conflict with-conclusions. Secondarily, they will also help users better communicate their reasoning and conclusions. STs hold promise for increasing the logical rigor and transparency of analysis. They can help reveal underlying logic and identify unstated assumptions. Yet they are not widely used in the Intelligence Community or elsewhere-possibly because current versions are cumbersome or require too much time. Crowdsourcing has the potential to solve these problems by dividing the labor, allowing dispersed groups of analysts to contribute information and ideas where they have comparative advantages. Crowdsourcing can help analysts identify and understand alternative hypotheses, arguments, and points of view. Crowdsourcing of structured techniques may facilitate rational deliberation by integrating different perspectives, so that analysis can effectively benefit from "crowd wisdom."
This ROSES NRA (NNH17ZDA001N) solicits basic and applied research in support of NASA's Science Mission Directorate (SMD). The NRA covers all aspects of basic and applied supporting research and technology in space and Earth sciences, including, but not limited to: theory, modeling, and analysis of SMD science data; aircraft, scientific balloon, sounding rocket, International Space Station, CubeSat and suborbital reusable launch vehicle investigations; development of experiment techniques suitable for future SMD space missions; development of concepts for future SMD space missions; development of advanced technologies relevant to SMD missions; development of techniques for and the laboratory analysis of both extraterrestrial samples returned by spacecraft, as well as terrestrial samples that support or otherwise help verify observations from SMD Earth system science missions; determination of atomic and composition parameters needed to analyze space data, as well as returned samples from the Earth or space; Earth surface observations and field campaigns that support SMD science missions; development of integrated Earth system models; development of systems for applying Earth science research data to societal needs; and development of applied information systems applicable to SMD objectives and data. Awards range from under $100K per year for focused, limited efforts (e.g., data analysis) to more than $1M per year for extensive activities (e.g., development of science experiment hardware). The funds available for awards in each program element offered in ROSES-2017 range from less than one to several million dollars, which allows for selection from a few to as many as several dozen proposals, depending upon the program objectives and the submission of proposals of merit.
This ROSES NRA (NNH17ZDA001N) solicits basic and applied research in support of NASA's Science Mission Directorate (SMD). The NRA covers all aspects of basic and applied supporting research and technology in space and Earth sciences, including, but not limited to: theory, modeling, and analysis of SMD science data; aircraft, scientific balloon, sounding rocket, International Space Station, CubeSat and suborbital reusable launch vehicle investigations; development of experiment techniques suitable for future SMD space missions; development of concepts for future SMD space missions; development of advanced technologies relevant to SMD missions; development of techniques for and the laboratory analysis of both extraterrestrial samples returned by spacecraft, as well as terrestrial samples that support or otherwise help verify observations from SMD Earth system science missions; determination of atomic and composition parameters needed to analyze space data, as well as returned samples from the Earth or space; Earth surface observations and field campaigns that support SMD science missions; development of integrated Earth system models; development of systems for applying Earth science research data to societal needs; and development of applied information systems applicable to SMD objectives and data. Awards range from under $100K per year for focused, limited efforts (e.g., data analysis) to more than $1M per year for extensive activities (e.g., development of science experiment hardware)
The NRA covers all aspects of basic and applied supporting research and technology in space and Earth sciences, including, but not limited to: theory, modeling, and analysis of SMD science data; aircraft, scientific balloon, sounding rocket, International Space Station, CubeSat and suborbital reusable launch vehicle investigations; development of experiment techniques suitable for future SMD space missions; development of concepts for future SMD space missions; development of advanced technologies relevant to SMD missions; development of techniques for and the laboratory analysis of both extraterrestrial samples returned by spacecraft, as well as terrestrial samples that support or otherwise help verify observations from SMD Earth system science missions; determination of atomic and composition parameters needed to analyze space data, as well as returned samples from the Earth or space; Earth surface observations and field campaigns that support SMD science missions; development of integrated Earth system models; development of systems for applying Earth science research data to societal needs; and development of applied information systems applicable to SMD objectives and data. Awards range from under $100K per year for focused, limited efforts (e.g., data analysis) to more than $1M per year for extensive activities (e.g., development of science experiment hardware). The funds available for awards in each program element offered in ROSES-2017 range from less than one to several million dollars, which allows for selection from a few to as many as several dozen proposals, depending upon the program objectives and the submission of proposals of merit. Awards will be made as grants, cooperative agreements, contracts, and inter- or intraagency transfers, depending on the nature of the proposed work and/or program requirements.
CR1: Sensor Fusion
· CR2: Machine Learning Systems for Wireless Cyber Environments
· DD1: Research on emerging software development including
· DD2: Reserved
· DD3: Research and Development of laser propagation, energy density, manufacturing, control, beam forming, and related topics to lasers as weapons in a marine environment
· DD4: Research on analysis of mission engineering for emerging weapon systems, systems engineering techniques and algorithms, platform level analysis capabilities, integrated platform analysis capabilities, missions thread visualizations capabilities, and related research topics
· DD5: Modeling and simulation research and development including: innovative Model-Based Systems Engineering (MBSE) methods and tools, methods for aggregating data across higher and lower-level simulations, and tools for approaches for linking simulation results with mission effectiveness
· DD6: Research on Radar unitization in a marine environment to include component development, power density, advanced signal processing, track processing, and related topics for surface radar applications
· DD7: Railgun developmental research including: materials for rail ablation reduction, energy storage, weight reduction, energy recovery, component development, high energy systems components, advanced cooling techniques and related research for railgun systems.
The Information Directorate, Activity Based Analysis Branch of the Air Force Research Laboratory (AFRL), Rome Research Site, is soliciting white papers through this Multi-INT Enhanced Exploitation and Analysis Tools (E2AT) announcement. E2AT is focused on the improvement of operator-exploited sensor analytical performance for Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) systems like the Distributed Common Ground System (DCGS) that operate within a Multiple-Intelligence (Multi-INT) environment. The advances made under E2AT will assist in operating under Anti-Access / Area Denial (A2/AD) conditions where limitations can degrade C4ISR capabilities. Multi-INT solutions are to be accomplished through the development of innovative technologies that will assist warfighting teams in target tracking and identification, dynamic information annotation, and achieving a high-level information fusion all-source situation awareness. E2AT development is comprised of two complimentary technical areas (TAs): (TA1) Full-Motion Video Exploitation (FMVE) which is an exploitation enhancement that has a focus on video and text source integration and (TA2) Multi-INT Data Association (MIDA) that has its emphasis on overcoming anticipated Anti-Access / Area Denial (A2/AD) conditions.
Over the years, NASA has invested heavily in the development and execution of an extensive array of space astrophysics missions. The magnitude and scope of the archival data from those missions enables science that transcends traditional wavelength regimes and allows researchers to answer questions that would be difficult, if not impossible, to address through an individual observing program. To capitalize on this invaluable asset and enhance the scientific return on NASA mission investments, the Astrophysics Data Analysis Program (ADAP) provides support for investigations whose focus is on the analysis of archival data from NASA space astrophysics missions.
The purpose of this Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is to encourage applications that will develop and validate tools and resources to facilitate the detailed analysis of brain microconnectivity. Novel and augmented techniques are sought that will ultimately be broadly accessible to the neuroscience community for the interrogation of microconnectivity in healthy and diseased brains of model organisms and humans. Development of technologies that will significantly drive down the cost of connectomics would enable routine mapping of the microconnectivity on the same individuals that have been analyzed physiologically, or to compare normal and pathological tissues in substantial numbers of multiple individuals to assess variability. Advancements in both electron microscopy (EM) and super resolution light microscopic approaches are sought. Applications that propose to develop approaches that break through existing technical barriers to substantially improve current capabilities are highly encouraged. Proof-of-principle demonstrations and/or reference datasets enabling future development are welcome, as are improved approaches for automated segmentation and analysis strategies of neuronal structures in EM images.
The NRA covers all aspects of basic and applied supporting research and technology in space and Earth sciences, including, but not limited to: theory, modeling, and analysis of SMD science data; aircraft, scientific balloon, sounding rocket, International Space Station, CubeSat and suborbital reusable launch vehicle investigations; development of experiment techniques suitable for future SMD space missions; development of concepts for future SMD space missions; development of advanced technologies relevant to SMD missions; development of techniques for and the laboratory analysis of both extraterrestrial samples returned by spacecraft, as well as terrestrial samples that support or otherwise help verify observations from SMD Earth system science missions; determination of atomic and composition parameters needed to analyze space data, as well as returned samples from the Earth or space; Earth surface observations and field campaigns that support SMD science missions; development of integrated Earth system models; development of systems for applying Earth science research data to societal needs; and development of applied information systems applicable to SMD objectives and data.
This NOFO will support achievement of national targets for 2018 antiretroviral therapy (ART) scale-up towards the UNAIDS Fast Track Targets in Ukraine. The recipient will implement innovative and effective recruitment and case management models for persons who inject drugs (PWID) and men who have sex with men (MSM) at the community level. These innovative changes will increase uptake of HIV community based testing and increase ART initiation for these populations. The recipient will pilot risk network-based testing using point-of-care recency assays to link recently infected PWID to care. The project will focus on the six regions with the highest HIV burden (Dnipropetrovsk, Mykolayiv, Odesa, government controlled areas (GCA) of Donetsk, Kyiv City, and Kherson) and continue to work in six additional medium burden oblasts (Cherkasy, Poltava, Chernihiv, Zaporizhzhya, Kirovohrad, and Kyiv). The recipient will also increase the capacity of the Government of Ukraine’s Center for Public Health (CPH) and regional monitoring and evaluation (M&E) centers specialists to conduct data analysis using statistical software and build institutional capacity to conduct economic evaluations of HIV interventions. Illustrative strategic information (SI) activities include development of trainings to support the Ministry of Health (MOH) and the newly established CPH in using statistical software, routine analysis of surveillance data, study design, and research protocol development.
The Civil Infrastructure Systems (CIS) program supports research leading to the engineering of infrastructure systems for resilience and sustainability without excluding other key performance issues. Areas of interest include intra- and inter-physical, information and behavioral dependencies of infrastructure systems, infrastructure management, construction engineering, and transportation systems. Special emphasis is on the design, construction, operation, and improvement of infrastructure networks with a focus on systems engineering and design, performance management, risk analysis, life-cycle analysis, modeling and simulation, behavioral and social considerations not excluding other methodological areas or the integration of methods.
This program does not encourage research proposals primarily focused on structural engineering, materials or sensors that support infrastructure system design, extreme event modeling, hydrological engineering, and climate modeling, since they do not fall within the scope of the CIS program.
This ROSES NRA (NNH16ZDA001N) solicits basic and applied research in support of NASA's Science Mission Directorate (SMD). This NRA covers all aspects of basic and applied supporting research and technology in space and Earth sciences, including, but not limited to: theory, modeling, and analysis of SMD science data; aircraft, scientific balloon, sounding rocket, International Space Station, CubeSat and suborbital reusable launch vehicle investigations; development of experiment techniques suitable for future SMD space missions; development of concepts for future SMD space missions; development of advanced technologies relevant to SMD missions; development of techniques for and the laboratory analysis of both extraterrestrial samples returned by spacecraft, as well as terrestrial samples that support or otherwise help verify observations from SMD Earth system science missions; determination of atomic and composition parameters needed to analyze space data, as well as returned samples from the Earth or space; Earth surface observations and field campaigns that support SMD science missions; development of integrated Earth system models; development of systems for applying Earth science research data to societal needs; and development of applied information systems applicable to SMD objectives and data
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