Government Contract Award Search - Machine Learning | Federal Compass

Government Contract Award Search - Machine Learning

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80NSSC20K0209 - A CORE FUNCTION OF THE AIST ANALYTIC CENTER FRAMEWORK IS TO FACILITATE RESEARCH AND ANALYSIS THAT USES THE FULL SPECTRUM OF DATA PRODUCTS AVAILABLE IN ARCHIVES HOSTING RELEVANT, PUBLICLY AVAILABLE DATA. KEY TO THIS IS MAKING DATA FAIR (FINDABLE, ACCESSIBLE, INTEROPERABLE, AND REUSABLE), NOT JUST FOR HUMANS, BUT FOR AUTOMATED SYSTEMS. EFFECTIVE DATA DISCOVERY SERVICES AND FULLY AUTOMATED, MACHINE-DRIVEN TRANSACTIONS REQUIRE METADATA THAT CAN BE UNDERSTOOD BY BOTH HUMANS AND MACHINES. BUT SUCH METADATA ARE UNCOMMON. MORE COMMONLY, METADATA RECORDS ARE INADEQUATELY CONTEXTUALIZED, INCOMPLETE, OR SIMPLY DO NOT EXIST. WHEN THEY DO EXIST, THEY OFTEN LACK THE SEMANTIC UNDERPINNINGS TO MAKE THEM MEANINGFUL. THE GOAL OF THE AUTOMATED METADATA PIPELINE (AMP) PROJECT IS TO (1) DEVELOP A FULLY-AUTOMATED METADATA PIPELINE THAT INTEGRATES MACHINE LEARNING AND ONTOLOGIES TO GENERATE SYNTACTICALLY AND SEMANTICALLY CONSISTENT METADATA RECORDS THAT ADVANCE FAIR OBJECTIVES AND SUPPORT EARTH SCIENCE RESEARCH FOR A DIVERSE GROUP OF STAKEHOLDERS RANGING FROM SCIENTISTS TO POLICY MAKERS, AND (2) DEMONSTRATE THE APPLICATION OF AMP-ENHANCED DATA TO AUTOMATE AND SUBSTANTIALLY IMPROVE THE USE AND REUSE OF NASA-HOSTED DATA IN ENVIRONMENTAL/EARTH SYSTEMS MODELS IN THE ARTIFICIAL INTELLIGENCE FOR ECOSYSTEM SERVICES (ARIES VILLA ET AL. 2014) PLATFORM, A DISTRIBUTED NETWORK OF ECOSYSTEM SERVICES AND EARTH SCIENCE MODELS AND DATA THAT RELIES ON SEMANTICS TO ASSEMBLE NETWORK-AVAILABLE DATA AND MODEL COMPONENTS INTO ECOSYSTEM SERVICES MODELS, BUILT ON DEMAND AND OPTIMIZED FOR THE CONTEXT OF APPLICATION. ARIES IS A CONTEXT-AWARE MODELING SYSTEM THAT, GIVEN ADEQUATE, SEMANTICALLY-GROUNDED METADATA, IS CAPABLE OF FINDING AND ASSESSING THE SUITABILITY OF CANDIDATE DATA SETS FOR USE WITH A PARTICULAR MODEL, AND AUTOMATICALLY ESTABLISHING LINKAGES BETWEEN DATA SOURCES AND MODEL COMPONENTS, PERFORMING A VARIETY OF MEDIATION AND PRE-PROCESSING TASKS TO INTEGRATE HETEROGENEOUS DATA SETS. THE AMP PROJECT AIMS TO USE MACHINE LEARNING TECHNIQUES TO AUTO-GENERATE SEMANTICALLY CONSISTENT, VARIABLE-LEVEL METADATA RECORDS FOR NASA DATA PRODUCTS AND, IN COLLABORATION WITH THE ARIES DEVELOPER AND USER COMMUNITIES, DEMONSTRATE THEIR VALUE IN SUPPORTING SCIENTIFIC RESEARCH. IN SO DOING, WE HOPE TO ACHIEVE SEVERAL OBJECTIVES: ADDRESS USABILITY AND SCALABILITY ISSUES FOR DATA PROVIDERS AND METADATA CURATORS IN CONNECTION WITH TOOLS FOR GENERATING ROBUST VARIABLE-LEVEL METADATA RECORDS IMPROVE THE SEMANTIC INTEROPERABILITY OF TARGET NASA DATA PRODUCTS BY LINKING CONCEPTS IN AMP-GENERATED METADATA RECORDS TO TERMS FROM WELL-ESTABLISHED, EXTERNAL VOCABULARIES SUCH AS THE ENVIRONMENT ONTOLOGY (ENVO), THEREBY TAKING ADVANTAGE OF EXISTING TERM MAPPINGS BETWEEN ENVO AND ONTOLOGIES DEVELOPED BY OTHER COMMUNITIES OF PRACTICE, INCLUDING NASA S SEMANTIC WEB FOR EARTH AND ENVIRONMENT TECHNOLOGY (SWEET) ONTOLOGY DEMONSTRATE THE BENEFITS OF SEMANTICALLY INTEROPERABLE, FAIR DATA ACROSS COMMUNITIES OF PRACTICE. AMP WILL PROVIDE A PLATFORM FOR AUTO-GENERATING ROBUST, FAIR-PROMOTING, SEMANTICALLY CONSISTENT METADATA RECORDS USING NEURAL NETS TO ASSIGN VARIABLES TO ONTOLOGICAL CLASSES IN THE AMP ONTOLOGY. OUR APPROACH RECOGNIZES THAT THERE IS A WEALTH OF INFORMATION CONTAINED WITHIN THE DATA ITSELF, WHICH CAN BE EXPLOITED TO GENERATE ACCURATE AND CONSISTENT METADATA. WE WILL WORK WITH THE GODDARD SPACE FLIGHT CENTER S (GSFC) EARTH SCIENCE (GES) DATA AND INFORMATION SERVICES CENTER (DISC), WHICH WILL PROVIDE ACCESS TO DATA VIA ITS OPENDAP SERVERS FOR TRAINING AND TESTING THE AMP PIPELINE, AND FOR USE BY THE ARIES PLATFORM. AMP ADVANCES THE ANALYTIC CENTER FRAMEWORK OBJECTIVES OF ALLOWING SEAMLESS INTEGRATION OF NEW AND USER-SUPPLIED COMPONENTS AND DATA INCREASING RESEARCH CAPABILITIES AND SPEED HANDLING LARGE VOLUMES OF DATA EFFICIENTLY AND PROVIDING NOVEL DATA DISCOVERY TOOLS.
Grant for Research
Contractor
LINGUA LOGICA LLC
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
12/10/2019
Obligated Amount
$100k
80NSSC20K0302 - SOLAR ENERGETIC PARTICLES (SEPS) ARE AMONG THE MOST HAZARDOUS TRANSIENT PHENOMENA OF THE SOLAR ACTIVITY. THE PRIMARY OBJECTIVE OF THE PROPOSAL IS TO ENHANCE PREDICTIONS OF SEPS BY IMPLEMENTING AUTOMATIC DATA CHARACTERIZATION AND MACHINE-LEARNING TOOLS. THE PROPOSAL PURSUITS TWO MAIN GOALS: 1) DEVELOPMENT OF THE ONLINE-ACCESSIBLE AUTOMATICALLY-UPDATED DATABASE THAT INTEGRATES THE SOLAR AND HELIOSPHERIC DATA, METADATA, AND DESCRIPTORS RELATED TO SOLAR PROTON EVENTS (SPE) 2) DEVELOPMENT OF ROBUST ALL-CLEAR FORECASTS OF SPES WITH LOW FALSE-ALARM RATES, TARGETED AT DIFFERENT TEMPORAL SCALES, DIFFERENT ENERGY AND PARTICLE FLUX THRESHOLDS OF SPES, AND ADAPTED TO OPERATIONAL AVAILABILITY OF DATA SOURCES AND GAPS IN THE DATA. WE PROPOSE TO DEVELOP DATABASES AND TOOLS FOR QUANTITATIVE CHARACTERIZATION OF AR MAGNETOGRAMS AND IMAGES, ESTIMATION OF FLARE ERUPTION PROBABILITIES AND CHARACTERIZATION OF SEP EVENTS BASED ON MACHINE-LEARNING IMAGE ANALYSIS AND PREDICTION TECHNIQUES. THE PROPOSED DATABASE WILL INTEGRATE MULTI-SPACECRAFT DATA AND MODERN DATABASE TECHNOLOGIES WITH API-BASED ONLINE ACCESS TO DATABASE ENTRIES AND INTEGRATION PRODUCTS. IT WILL BE MADE PUBLICLY AVAILABLE AND SERVE A FOUNDATION FOR DEVELOPMENT OF MACHINE-LEARNING SPE FORECASTS. THE DATABASE WILL AUTOMATICALLY UTILIZE AND PROCESS INCOMING OBSERVATIONAL DATA, DERIVE ADDITIONAL EVENTS DESCRIPTORS, AND WILL AUTOMATICALLY UPDATE. THE TEAM WILL DEVELOP HIGH-FIDELITY ALL-CLEAR FORECASTS BY EMPLOYING ADVANCED MACHINE-LEARNING TECHNIQUES AND A CUSTOMIZED SKILL SCORE WHICH TO OPTIMIZE TOLERANCE FOR MISSED SPE EVENTS WITH RESPECT TO THE FALSE ALARM RATE. IN ADDITION, THE ADVANCED MACHINE LEARNING TECHNIQUES (SUCH AS MULTI-LAYER PERCEPTRONS AND RECURRENT NEURAL NETWORKS) WILL BE EMPLOYED FOR SOLVING CLASSIFICATION TASKS AND PREDICTION OF ACTIVE REGION EVOLUTION. THE PROPOSED RESEARCH IS DIRECTLY RELATED TO THE ESI APPENDIX TOPIC 4 GOALS. IN PARTICULAR, THE DEVELOPED DATABASE WILL PROVIDE AVAILABILITY AND READINESS OF THE PREPARED AND INTEGRATED DATA FOR THE HELIOPHYSICS COMMUNITY, AS WELL AS INCLUDE AUTOMATIC DETECTION, MEASUREMENT, AND CHARACTERIZATION OF SPE-RELATED PRECURSOR FEATURES. CORRESPONDINGLY, IT WILL OPEN NEW PERSPECTIVES FOR THE DATA DISCOVERY, AS WELL AS INITIATE A DATA PREPARATION PHASE FOR FORECASTING ATTEMPTS. THE DEVELOPED ROBUST ALL-CLEAR FORECASTS WILL ENABLE POSSIBILITIES FOR SAFE SPACE EXPLORATION AND ADVANCED SPACE MISSION PLANNING, WHICH IS ESPECIALLY IMPORTANT WITH RESPECT TO THE NASA PLAN MOON-BY-2024 . IN LONGER TERM PROSPECTIVE, WE EXPECT THAT DEVELOPED ATTEMPTS WILL SIGNIFICANTLY CONTRIBUTE TO THE REPLACEMENT OF CURRENT SEP OPERATIONAL FORECASTING TECHNIQUES BY MACHINE LEARNING-BASED APPROACHES.
Grant for Research
Contractor
NEW JERSEY INST TECHnology (NEW JERSEY INSTITUTE OF TECHNOLOGY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
12/06/2019
Obligated Amount
$95.2k
80NSSC19K0943 - ONE OF THE ONLY DIRECT ANTHROPOGENIC IMPACTS IN THE UPPER TROPOSPHERE ARE THE ICE CLOUDS WHICH CAN FORM IN THE AIRCRAFT ENGINE EXHAUST UNDER CERTAIN ATMOSPHERIC CONDITIONS. THESE CONTRAIL CIRRUS PERSIST FOR UP TO 24 HOURS, SPREADING FROM LINE-SHAPED TRAILS INTO CIRRUS CLOUDS WHICH CAN BE KILOMETERS WIDE. ALTHOUGH EACH INSTANCE TYPICALLY LASTS FOR LESS THAN A DAY, CONTRAIL CIRRUS HAVE BEEN ESTIMATED TO CAUSE CLIMATE IMPACTS EQUIVALENT TO THOSE ASSOCIATED WITH ALL CO2 EMITTED FROM AIRCRAFT IN THE PAST 80 YEARS. HOWEVER, DUE TO SIGNIFICANT UNCERTAINTIES IN OVERALL COVERAGE AND OPTICAL PROPERTIES OF CONTRAIL CIRRUS, THERE REMAINS AN ORDER-OF-MAGNITUDE UNCERTAINTY IN THEIR OVERALL IMPACT. MEANWHILE, EFFECTS ON ATMOSPHERIC COMPOSITION AND AIR QUALITY HAVE YET TO BE INVESTIGATED. THIS PROJECT AIMS TO ADDRESS THESE ISSUES BY (I) VALIDATING AND REFINING THE CONTRAIL EVOLUTION AND RADIATION MODEL (CERM) THROUGH AN OBSERVATIONAL APPROACH AND (II) APPLYING CERM AND ATMOSPHERIC CHEMICAL MODELING TO ASSESS PAST, CURRENT, AND FUTURE CONTRAIL COVERAGE AND ITS ATMOSPHERIC IMPACTS ON CLIMATE AND SURFACE AIR QUALITY. FOR THIS PURPOSE, WE WILL FIRST LEVERAGE A NOVEL MACHINE LEARNING-BASED APPROACH TO QUANTIFY CONTRAIL CIRRUS COVERAGE OVER THE CONTINENTAL UNITED STATES, BASED ON A FULL YEAR OF DATA FROM THE GOES-16 GEOSTATIONARY SATELLITE. BY TRAINING A CONVOLUTIONAL NEURAL NETWORK ON PREVIOUSLY-CLASSIFIED IMAGERY, WE WILL PRODUCE AN OPEN-SOURCE, GENERALIZABLE MODEL OF CONTRAIL CIRRUS IDENTIFICATION. THIS MODEL WILL BE USED FOR A FIRST MACHINE-LEARNING BASED OBSERVATIONAL STUDY TO IDENTIFY CONTRAIL CIRRUS COVERAGE AND ITS SPATIAL, DIURNAL, AND SEASONAL TRENDS AT HIGH RESOLUTION (~2KM). THIS DATA WILL THEN BE USED TO CALIBRATE CERM, WHICH ESTIMATES CONTRAIL CIRRUS COVERAGE AND PROPERTIES AT THE REGIONAL TO GLOBAL LEVEL. ONCE CALIBRATED AND VALIDATED, CERM WILL BE APPLIED TO QUANTIFY GLOBAL CONTRAIL CIRRUS COVERAGE AT A SPATIAL RESOLUTION OF ~50 KM FOR EACH HOUR IN THE CALIBRATION YEAR. THIS COVERAGE ESTIMATE WILL BE MADE PUBLICLY AVAILABLE, ALONG WITH AN ESTIMATE OF THE TOTAL GLOBAL AND REGIONAL RADIATIVE FORCING RESULTING FROM CONTRAIL CIRRUS. FOLLOWING THIS INITIAL ESTIMATE OF CURRENT-DAY COVERAGE, A MULTI-DECADE SIMULATION WILL BE EMPLOYED TO DERIVE THE FIRST CONTRAIL CIRRUS INVENTORY FOR THE YEARS 1980 TO 2050. PAST METEOROLOGICAL AND CLIMATOLOGICAL CONDITIONS WILL BE TAKEN FROM THE EXISTING MERRA-2 METEOROLOGICAL DATA SET AND FUTURE CONDITIONS WILL BE ESTIMATED WITH THE COMMUNITY EARTH SYSTEM MODEL UNDER DIFFERENT ECONOMIC SCENARIOS. USING HISTORICAL AVIATION SCHEDULE DATA AND PROJECTED FUTURE AVIATION ACTIVITY, COVERAGE AND PROPERTIES (E.G. LIFETIME, OPTICAL DEPTH) OF CONTRAIL CIRRUS WILL BE SIMULATED FOR THE ENTIRE PERIOD. THE DATA WILL BE ANALYZED WITH REGARD TO DEPENDENCE ON TRAFFIC, REGIONAL VARIATIONS IN FORMATION LIKELIHOOD, AND THE EFFECT OF CLIMATE CHANGE ON CONTRAIL CIRRUS. FINALLY, WE WILL QUANTIFY THE IMPACTS OF CONTRAIL CIRRUS ON CLIMATE, ATMOSPHERIC COMPOSITION, AND AIR QUALITY OVER THE SAME 70 YEAR PERIOD. THIS WILL BE ENABLED BY DIRECT SIMULATION OF ATMOSPHERIC COMPOSITION IN THE GEOS-CHEM HIGH PERFORMANCE CHEMISTRYTRANSPORT MODEL, USING THE CONTRAIL INVENTORIES PRODUCED IN PREVIOUS STEPS. WE EXPECT THIS PROJECT TO HAVE SIGNIFICANT IMPACTS FOR SCIENTISTS, DECISION MAKERS AND THE PUBLIC. IN PARTICULAR, IT WILL (I) FOR THE FIRST TIME, CALIBRATE AND VALIDATE CONTRAIL MODELS THROUGH OBSERVATIONAL DATA (II) PRODUCE THE FIRST SET OF COMPREHENSIVE CONTRAIL INVENTORIES FOR USE IN ATMOSPHERIC MODELS (III) REDUCE THE LEVEL OF UNCERTAINTY IN CONTRAIL COVERAGE FOR PAST, PRESENT, AND FUTURE CONDITIONS (IV) ADVANCE ALGORITHMIC KNOWLEDGE REQUIRED FOR NEAR REAL-TIME CONTRAIL IDENTIFICATION AND (V) PRODUCE THE FIRST ESTIMATES OF IMPACTS ON ATMOSPHERIC COMPOSITION, AIR QUALITY, AND HUMAN HEALTH RESULTING FROM CONTRAIL CIRRUS.
Grant for Research
Contractor
Massachusetts Institute of Technology (MASSACHUSETTS INSTITUTE OF TECHNOLOGY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
11/01/2019
Obligated Amount
$92.3k
80NSSC20K0155 - GEOSPATIAL INFORMATION TOOLS THAT USE MACHINE-LEARNING TO ENABLE SUSTAINABLE GROUNDWATER MANAGEMENT IN WEST AFRICA
Grant for Research
Contractor
BRIGHAM YOUNG UNIV (BRIGHAM YOUNG UNIVERSITY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
10/30/2019
Obligated Amount
$214.7k
80NSSC19K0749 - THE BAT AGN SPECTROSCOPIC SURVEY (BASS) PROVIDED THE FIRST LARGE AND COMPLETE CENSUS OF THE KEY PHYSICAL PARAMETERS OF THE SUPERMASSIVE BLACK HOLES THAT ARE POWERING THE LOCAL ACTIVE GALACTIC NUCLEI (AGN) POPULATION INCLUDING THE BLACK HOLE MASS, OBSCURATION, BOLOMETRIC LUMINOSITY, AND ACCRETION RATE. WE REQUEST FUNDING FOR THE BASS PI TO COMPLETE THE 105-MONTH DATA RELEASE, WHICH WILL INCLUDE AN UPDATED SOURCE CATALOG AND X-RAY ANALYSIS BASED ON ARCHIVAL DATA. MOST OF THE NEWLY AVAILABLE DATA COME FROM LEGACY SURVEYS WITH SWIFT-XRT, NUSTAR, AND XMM BAND C PROGRAMS THAT HAD NO ASSOCIATED ANALYSIS FUNDS. THE DATA RELEASE WILL FOCUS ON PROVIDING A COMPLETE CENSUS OF ALL AGN IN THE 105-MONTH SWIFT-BAT SURVEY, AND PARTICULARLY THE NEWLY IDENTIFIED SOURCES, NOT INCLUDED IN DR1. THE 105-MONTH RELEASE WILL ALSO PROVIDE UPDATED COUNTERPARTS BASED ON THE X-RAY, WISE, AND GAIA CROSS-MATCHING, AS WELL AS AGN SUBCLASSES, REDSHIFTS, BLACK HOLE MASSES, AND EDDINGTON RATIOS THAT ARE CRITICAL FOR LEGACY STUDIES. FINALLY, WE REQUEST FUNDING TO RELEASE A CATALOG OF UV PHOTOMETRY FROM SWIFT-UVOT AND XMM-OM AND AN ASSOCIATED PSF EXTRACTION MACHINE LEARNING TOOL FOR UV IMAGES. THIS DATA WILL ENABLE US TO PROPERLY MEASURE THE BOLOMETRIC LUMINOSITY FROM THE SIMULTANEOUS X-RAY AND UV DATA AS WELL AS TAKE ADVANTAGE OF THE IMPROVED SPATIAL RESOLUTION TO MEASURE THE CENTRAL STAR FORMATION OF SWIFT-BAT AGN HOST GALAXIES. WE WILL RELEASE ALL OF THE DATA TO THE COMMUNITY ENABLING DOZENS OF ADDITIONAL STUDIES BEYOND OUR SUCCESS IN THE DR1. THIS WORK WILL INCREASE OUR UNDERSTANDING OF COMPTON-THICK AGN, THE COSMIC X-RAY BACKGROUND, NUCLEAR STAR FORMATION IN AGN, AND BLACK HOLE GROWTH ACROSS COSMIC TIME THUS SATISFYING NASA STRATEGIC PLAN TO UNDERSTAND THE NATURE OF BLACK HOLES.
Grant for Research
Contractor
EUREKA SCIENTIFIC INC
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
10/29/2019
Obligated Amount
$70.1k
75F40119C10106 - BROAD AGENCY ANNOUNCEMENT (BAA) CONTRACT -- DEVELOPING TOOLS BASED ON TEXT ANALYSIS AND MACHINE LEARNING TO ENHANCE PSG REVIEW EFFICIENCY
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
DREXEL UNIV (DREXEL UNIVERSITY)
Contracting Agency/Office
Health and Human Services»Food and Drug Administration»FDA Office of Operations»Office of Finance, Budget and Acquisitions
Effective date
09/23/2019
Obligated Amount
$176.5k
75N95019C00069 - THE PRIMARY OBJECTIVE OF THE PROPOSED PHASE I WORK IS TO FURTHER DEVELOP A PROOF-OF-CONCEPT (POC) MACHINE LEARNING APPROACH TO DETECT ILLEGAL OPIOID SELLERS AND DEVELOP IT INTO AN MVP THAT CAN COLLECT INFORMATION ON, AS WELL AS IDENTIFY, CATEGORI
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
S-3 RESEARCH LLC
Contracting Agency/Office
Health and Human Services»National Institutes of Health»National Institute on Drug Abuse
Effective date
09/20/2019
Obligated Amount
$224.9k
69319519PO00046 - DATA ANALYSIS FOR NTD USING A MACHINE LEARNING DATA DRIVEN APPROACH.
Purchase Order - 541511 Custom Computer Programming Services
Contractor
EPIGEN TECHNOLOGY CORP.
Contracting Agency/Office
Transportation»Federal Transit Administration
Effective date
09/20/2019
Obligated Amount
$135.4k
W56KGU19C0063 - FY19 SBIR PHASE I - FFP CONTRACT MACHINE LEARNING FOR RADIO FREQUENCY (RF) SIGNATURES DETECTION AND CLASSIFICATION SYSTEM.
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
VADUM (VADUM, INC.)
Contracting Agency/Office
Effective date
09/06/2019
Obligated Amount
$108k
75D30119P06649 - MACHINE LEARNING ALGORITHM
Purchase Order - 611310 Colleges, Universities, and Professional Schools
Contractor
GTRC (GEORGIA TECH RESEARCH CORPORATION)
Contracting Agency/Office
Health and Human Services»Centers for Disease Control and Prevention
Effective date
09/03/2019
Obligated Amount
$142.4k
80NSSC19K1052 - TO SAFELY EXECUTE THE HUMAN-EXPLORATION MISSIONS CURRENTLY BEING PROPOSED BY NASA, THE DESIGN OF DEEP-SPACE HABITATS REQUIRES A FUNDAMENTALLY DISRUPTIVE APPROACH ONE THAT RELIES NOT ONLY ON TRADITIONAL SUBSYSTEM RELIABILITY ENGINEERING AND PROBABILISTIC RISK ANALYSIS, BUT ON EMERGENT TECHNOLOGIES IN AUTONOMOUS SYSTEMS, FAILURE-TOLERANT DESIGN, HUMAN/AUTOMATION TEAMING, DENSE SENSOR POPULATIONS, DATA SCIENCE, MACHINE LEARNING, ROBOTIC MAINTENANCE, AND ON-BOARD MANUFACTURING. ACCORDINGLY, THE HOME STRI FOR DEEP SPACE HABITAT DESIGN WILL SYNTHESIZE THE IDEAS AND BACKGROUNDS OF A UNIQUELY EXPERIENCED, DIVERSE, AND OPERATIONALLY PRAGMATIC RESEARCH TEAM WITH INITIALLY-LOW TRL INNOVATIVE TECHNOLOGIES TO PROVIDE A 5-YEAR FLOW OF RESEARCH DELIVERABLES THAT COMPRISE A NEW PARADIGM FOR RESILIENT, AUTONOMOUS, AND SELF-MAINTAINED DEEP-SPACE HABITATS FOR HUMAN EXPLORERS. THE SCOPE OF THE HOME STRI S RESEARCH WILL BE DRIVEN BY THE TWO PRIMARY OPERATIONAL REQUIREMENTS OF DEEP-SPACE HABITATS: 1) KEEP HUMANS ALIVE WHILE THEY ARE RESIDENT 2) KEEP THE VEHICLE ALIVE WHILE THEY ARE NOT. THE PRIMARY DELIVERABLE OF THE HOME STRI RESEARCH IS A CLASS OF NOVEL DESIGN METHODOLOGIES, BEST PRACTICES, AND ANALOG-VALIDATED DESIGN TOOLS. OUR APPROACH WILL DRAW FROM FUNCTION-BASED ANALYSIS OF THE SPACECRAFT AND TASK ALLOCATION OPTIONS, FROM WHICH A COMBINATION OF CURRENT VALIDATED TECHNOLOGIES EXTENDED SIGNIFICANTLY BY MODERN DEVELOPMENTS IN AUTONOMY, SYSTEM RESILIENCE, SELF-MAINTENANCE, ROBOTICS, AND AI WILL BE IDENTIFIED, EVALUATED AND DEMONSTRATED. THIS FUNCTIONAL-NEEDS BASED APPROACH TO SMARTHAB DESIGN RESULTS IN THE FOLLOWING BROAD CATEGORIES OF RESEARCH: A. AUTONOMOUS FUNCTIONALITY B. VEHICLE SYSTEMS ENGINEERING, FUNCTIONAL REQUIREMENTS, OPERATIONS CONCEPT C. HUMAN HABITABILITY D. ROBUST/RELIABLE VEHICLE OPERABILITY. OUR GUIDING PHILOSOPHY IS INTELLIGENT APPLICATION OF SMART-SYSTEMS TECHNOLOGY. ACCORDINGLY, IN EACH OF THE ABOVE RESEARCH TOPICS, THE HOME STRI WILL INCORPORATE STATE-OF-THE-ART TECHNOLOGIES (FROM THE FIELDS OF SPACEFLIGHT, AVIATION, MANUFACTURING, BUILDING SCIENCE, ROBOTICS, MEDICINE) AND THEN WILL PUSH BEYOND CURRENT PRACTICE TO FORMULATE MISSION-RELEVANT NEW RESEARCH WITH A CONVERGENT FOCUS ON AN INTELLIGENTLY-AUTONOMOUS, FUNCTIONALLY-DRIVEN, REALISTICALLY-ACHIEVABLE HABITAT DESIGN.
Grant for Research
Contractor
University of California (UNIVERSITY OF CALIFORNIA, DAVIS)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
08/30/2019
Obligated Amount
$3M
FA875019C0516 - ROBUST, ADAPTIVE MACHINE LEARNING (RAM)
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
NUMERICA CORPORATION
Contracting Agency/Office
Air Force»Air Force Materiel Command»Air Force Research Laboratory»Sensors Directorate
Effective date
08/30/2019
Obligated Amount
$749.9k
80NSSC19K1028 - BACKGROUND: WIDESPREAD SYNTHESIS OF COMPLEX ORGANICS, INCLUDING NUCLEOBASES, AMINO ACIDS, AND SUGARS, OCCURRED EARLY IN THE HISTORY OF THE SOLAR SYSTEM, IN THE SOLAR NEBULA. THESE ORGANICS WERE DELIVERED BY COMETS AND METEORITES TO MULTIPLE POTENTIALLY HABITABLE ZONES (E.G., EARTH, MARS, ENCELADUS, EUROPA, TITAN), WHICH MAY BE TARGETED BY FUTURE MISSIONS IN THE SEARCH FOR EXTANT LIFE BEYOND EARTH,.E.G., OCEAN WORLDS. EVEN IN THE ABSENCE OF COMMON ANCESTRY (PANSPERMIA), COMMON BUILDING BLOCKS AND SIMILAR PHYSICOCHEMICAL ENVIRONMENTS COULD HAVE RESULTED IN INDEPENDENT ORIGINS OF LIFE BASED ON SIMILAR BIOCHEMISTRY. WE TARGET NOT ONLY SINGLE AMINO ACIDS (AND ABUNDANCE DISTRIBUTION) BUT ALSO INFORMATION-RICH BIOGENIC ORGANIC MOLECULES: CHARGED LINEAR INFORMATIONAL POLYMERS (IPS),.ENABLED BY RECENT ADVANCES IN SOLID-STATE SINGLE-MOLECULE NANOGAP SENSORS (VIA QUANTUM ELECTRON TUNNELING, QET). SCIENCE GOALS: OUR MISSION IS TO DEVELOP AN INSTRUMENT, THE ELECTRONIC LIFE-DETECTION INSTRUMENT FOR ENCELADUS/EUROPA (ELIE), CAPABLE OF DETECTING PREBIOTIC, ANCIENT, OR EXTANT LIFE, AND DISTINGUISHING FORWARD CONTAMINATION, THROUGH DETECTION OF TWO UNIVERSAL BIOMARKERS: THE AMINO ACID ABUNDANCE DISTRIBUTION AND IPS. OUR INSTRUMENT WILL BE QUITE VERSATILE AND SUITABLE FOR A MULTITUDE OF.MISSIONS, INCLUDING LANDER, ROVER, SUBSEA EXPLORER, AND PLUME-FLY-THROUGH MISSIONS TO MARS, ENCELADUS, EUROPA, AND OTHER OCEAN WORLDS. FURTHERMORE, BY QUANTIFYING FORWARD CONTAMINATION, OUR INSTRUMENT WILL BE ABLE TO IDENTIFY FALSE POSITIVES AND SUPPORT PLANETARY PROTECTION. OBJECTIVES: WE WILL VALIDATE SINGLE MOLECULE NANOGAP DETECTION AND DEVELOP A BREADBOARD SYSTEM TO ADVANCE ELIE FROM TECHNOLOGY.READINESS LEVEL (TRL) 2 TO TRL 4 AND A PLAN TO ACHIEVE TRL 6 BY THE PRELIMINARY DESIGN REVIEW OF AN OCEAN WORLD MISSION SUCH AS EUROPA LANDER OR A NEW FRONTIERS ENCELADUS MISSION. METHODOLOGY: AN EXISTING NANOGAP SYSTEM, ALREADY VALIDATED ON SINGLE AMINO ACIDS, RNA, AND DNA, WILL BE USED TO TEST FIRST PURE SOLUTIONS, THEN MIXTURES OF INCREASING FIDELITY, SUCH AS A PROTOCELL AND B. SUBTILIS SPORES IN OCEAN WORLD ANALOG SOLUTIONS, PRIOR TO VALIDATION ON ENVIRONMENTAL ANALOG SAMPLES. COMPARISONS OF YIELD AND SENSITIVITY WILL BE MADE TO EXISTING LIFE DETECTION INSTRUMENTS AS WELL AS TO SINGLE MOLECULE SEQUENCING (MINION) AND A SOLID STATE NANOPORE, ENABLED BY COMMON LOW NOISE AMPLIFIER HARDWARE OF A.PROPOSED TRL 4 SYSTEM. THIS SYSTEM WILL ALSO INTEGRATE A PRE-CONCENTRATION STEP TO TARGET 10 PPT SENSITIVITY FOR AMINO ACIDS. NANOGAPS HAVE SUB-NANOMETER ADJUSTABLE GAP SPACING TO ACCOMMODATE DIFFERENT SIZES OF MOLECULES. MACHINE LEARNING METHODS WILL BE APPLIED TO CLASSIFY BIOMOLECULES. THE LACK OF BIOLOGICAL REAGENTS SUPPORTS PLANETARY PROTECTION GOALS BY PERMITTING BIOBURDEN REDUCTION. RELEVANCE: OUR EFFORT SPECIFICALLY RESPONDS TO MULTIPLE ASPECTS OF THE PICASSO SOLICITATION INCLUDING "CHARACTERIZE POTENTIAL BIOPOLYMERS," "DETECT CHEMICAL PROCESSES INDICATIVE OF POTENTIAL LIFE," AND "DETECT ULTRALOW CONCENTRATIONS OF MICROORGANISMS." WE PROPOSE A SENSITIVE AND INFORMATION RICH APPROACH TO DETECTION OF LIFE BEYOND EARTH, SUITABLE FOR FUTURE DEPLOYMENT ON MULTIPLE MISSIONS.
Grant for Research
Contractor
Massachusetts Institute of Technology (MASSACHUSETTS INSTITUTE OF TECHNOLOGY)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
08/29/2019
Obligated Amount
$284.5k
HR001119C0067 - ENIGMA - THE PURPOSE OF THIS ENIGMA PROJECT IS TO PERFORM PROOF OF CONCEPT FOR ADVERSARIAL CODED APERTURE DESIGN FOR TWO TARGET, ADVERSARIAL MACHINE LEARNING TASKS.
Definitive Contract - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
Systems & Technology Research (SYSTEMS & TECHNOLOGY RESEARCH LLC)
Contracting Agency/Office
Defense»Defense Advanced Research Projects Agency
Effective date
08/29/2019
Obligated Amount
$0k
80NSSC19K1229 - THE MARTIAN ATMOSPHERIC LOSS THROUGH THE INTERACTIONS WITH SOLAR EUV, SOLAR WIND, AND INTERPLANETARY MAGNETIC FIELD (IMF) IS CRITICAL FOR UNDERSTANDING THE LONG-TERM EVOLUTION OF THE MARS ATMOSPHERE AND HABITABILITY. ALTHOUGH THERE HAVE BEEN MANY STUDIES OF THE MARTIAN ION LOSS BASED ON THE DATA FROM MARS ATMOSPHERE AND VOLATILE EVOLUTION (MAVEN) AND MARS EXPRESS (MEX) SPACECRAFT, MANY QUESTIONS REMAIN UNANSWERED. WITH IMF MEASUREMENTS FROM THE MAGNETOMETER ON BOARD, MAVEN ION DATA HAVEN BEEN ORGANIZED IN THE MARS SOLAR ELECTRIC FIELD (MSE) COORDINATE SYSTEM, IN WHICH TWO MAJOR ION ESCAPE CHANNELS, A TAIL IN THE ANTI-SUNWARD DIRECTION AND AN ENERGETIC PLUME IN THE UPSTREAM ELECTRIC FIELD DIRECTION, HAVE BEEN IDENTIFIED. IT IS ALSO SHOWN BY MAVEN DATA ANALYSIS THAT THE ION LOSS RATES THROUGH THE TWO CHANNELS ARE AFFECTED BY SOLAR EUV IN A DIFFERENT WAY. HOWEVER, MAVEN DATA COVERS A RELATIVELY SHORT TIME PERIOD, AND CAN ONLY TELL THE SEASONAL VARIATIONS OF ION ESCAPE. ALTHOUGH MEX DATA COVERS MORE THAN A FULL SOLAR CYCLE, DUE TO THE LACK OF A MAGNETOMETER, MEX ION MEASUREMENTS HAVE BEEN MOSTLY ORGANIZED IN THE MARS SOLAR ORBITAL (MSO) COORDINATE SYSTEM WITH A FOCUS ON THE TAILWARD ESCAPE. THE SOLAR CYCLE VARIATIONS OF ION LOSS THROUGH DIFFERENT ESCAPING CHANNELS ARE NOT WELL UNDERSTOOD YET. ON THE OTHER HAND, WITH MULTIPLE UPSTREAM PARAMETERS, IT IS DIFFICULT TO MANUALLY BUILD AN EMPIRICAL MODEL FROM DATA TO QUANTIFY THE EFFECTS FROM ALL DRIVERS WITHOUT BIAS. THEREFORE, WE PROPOSE TO ORGANIZE MEX ION DATA IN MSE BASED ON PICKUP ION MEASUREMENTS AND USE MACHINE LEARNING METHODS TO ANALYZE MAVEN AND MEX DATA TO ANSWER THE FOLLOWING SCIENCE QUESTIONS: 1. WHAT ARE THE VARIATIONS OF THE ION SPATIAL DISTRIBUTIONS IN MSE WITH UPSTREAM DRIVERS? 2. WHAT ARE THE SOLAR CYCLE VARIATIONS OF ION ESCAPE RATES THROUGH DIFFERENT ESCAPING CHANNELS? 3. WHAT IS THE QUANTITATIVE THE DEPENDENCE OF TOTAL ION ESCAPE RATES ON MULTIPLE UPSTREAM DRIVERS? UPSTREAM ELECTRIC FIELD DIRECTIONS ARE NEEDED TO ORGANIZE MEX DATA IN MSE. MAVEN DATA SHOWS THAT THE PICKUP ION VELOCITY DIRECTIONS IN THE SHEATH AND UPSTREAM REGION ARE WELL ALIGNED WITH THE UPSTREAM ELECTRIC FIELD DIRECTIONS IN MSO-YZ PLANE. THUS THE MEX PICKUP ION MEASUREMENTS CAN BE USED TO DERIVE UPSTREAM ELECTRIC FIELD DIRECTIONS. IN THIS WAY, A LARGE AMOUNT OF MEX DATA PRIOR TO MAVEN'S ARRIVAL CAN BE ORGANIZED IN MSE. THE NEXT STEP IS TO TRAIN MACHINE LEARNING MODELS WITH MAVEN AND MEX DATA. WE WILL USE THE UPSTREAM DATA AND PLANETARY ION MEASUREMENT POSITIONS IN MSE AS INPUT, AND USE THE MEASURED PLANETARY ION MOMENTS AS TARGET. THE MODELS WILL BE TRAINED WITH MAVEN AND MEX DATA SEPARATELY. DIFFERENT FORMATS OF INPUT AND TARGET DATA AND DIFFERENT MODEL ARCHITECTURES WILL BE TESTED TO ACHIEVE THE BEST RESULTS. WHEN THE MODELS ARE SUCCESSFULLY TRAINED, WE WILL BE ABLE TO GET ION SPATIAL DISTRIBUTIONS IN MSE WITH ANY GIVEN UPSTREAM CONDITIONS, AND ESTIMATE THE ESCAPE RATES THROUGH THE PLUME AND TAIL. WITH DIFFERENT UPSTREAM INPUTS, WE WILL STUDY THE VARIATIONS WITH UPSTREAM DRIVERS. THE RESULTS FROM MAVEN AND MEX DATA WILL BE COMPARED WITH EACH OTHER. THE PROPOSED WORK USES NEW TECHNIQUES TO ANALYZE PUBLICLY AVAILABLE MAVEN AND MEX DATA FROM NASA PDS AND THE ESA PSA. IT CAN GREATLY IMPROVE THE ESTIMATION OF MARTIAN ION ESCAPE RATES FROM MEX AND MAVEN DATA, AND BETTER QUANTIFY EACH SINGLE-DRIVER EFFECT ON THE ION ESCAPE RATES AS WELL AS THE CO-EFFECTS FROM MULTIPLE UPSTREAM DRIVERS. THIS WORK WILL ENHANCE THE SCIENTIFIC RETURN FROM BOTH MISSIONS, AND FITS THE SCOPE OF MDAP WELL. THE RESULTS FROM THIS WORK CAN BE USED TO STUDY LONG-TERM MARTIAN ATMOSPHERIC LOSS AND PROVIDE PREDICTIONS OF MARTIAN PLASMA ENVIRONMENT FOR DATA CALIBRATIONS AND OPERATIONS OF CURRENT AND FUTURE MARS MISSIONS.
Grant for Research
Contractor
University of Colorado (REGENTS OF THE UNIVERSITY OF COLORADO, THE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
08/27/2019
Obligated Amount
$125.4k
80NSSC19K1225 - MOTIVATION AND OBJECTIVES. RECURRING SLOPE LINEAE (RSL) ARE NARROW FINGER-LIKE FEATURES THAT ARE DARKER THAN THEIR SURROUNDINGS AND HAVE BEEN OBSERVED TO INCREMENTALLY LENGTHEN, FADE, AND RECUR IN MULTIPLE MARS YEARS. RSL CANDIDATES HAVE BEEN IDENTIFIED AT HUNDREDS OF SITES GLOBALLY. OF THESE SITES, 44 EXHIBIT CONFIRMED ACTIVITY (MULTIPLE IMAGES HAVE SHOWN INCREMENTAL LENGTHENING, FADING, AND RECURRENCE) AND HAVE BEEN QUALITATIVELY RATED AS EXCELLENT (INDICATING LARGE, EASILY MEASURED RSL; LESS THAN 15% OF RSL SITES OBTAIN THIS RANKING). TO DATE, THE FORMATION AND RESETTING MECHANISMS OF RSL ARE POORLY UNDERSTOOD. WET-BASED HYPOTHESES BEST MATCH OBSERVATIONS THAT CORRELATE INCREMENTAL LENGTHENING WITH HIGHER SURFACE TEMPERATURES, BUT RECENT TOPOGRAPHIC MEASUREMENTS SUGGEST A DRY GRANULAR FLOW PROCESSES. .THIS PROPOSAL FOCUSES ON USING HIGH-RESOLUTION MAPPING OF THE BEST-MONITORED RSL SITES COMBINED WITH HIGH-RESOLUTION (30 CM/PX) DIGITAL TERRAIN MAPS (DTM). THUS, THE OBJECTIVE OF THE PROPOSED WORK IS TO MIX GLOBAL-SCALE OBSERVATION OF RSL GEOGRAPHY AND LENGTHENING SEASONALITY WITH HIGH-RESOLUTION MAPPING OF 10 OF THE BEST RSL SITES TO ULTIMATELY BETTER DETERMINE IF RSL ARE FORMED VIA A WET OR DRY PROCESS. .METHODOLOGY .TO ACCOMPLISH OUR OBJECTIVE, WE WILL FIRST UPDATE THE GLOBAL INVENTORY OF RSL OBSERVATIONS BY EXAMINING RECENT HIGH RESOLUTION IMAGING SCIENCE EXPERIMENT (HIRISE) IMAGES SPANNING KNOWN SITES (116 IMAGES) AND POSSIBLE NEW SITES (563 IMAGES). NEXT, WE WILL USE A CUSTOM APPROACH TO GENERATE ~233 ORTHORECTIFIED IMAGES AND ~10 HIGH-RESOLUTION DTMS (~30 CM/PIXEL) FOR EXCELLENT AND CONFIRMED RSL SITES. UTILIZING UP TO NINE STEREO PAIRS AT EACH SITE OUR NOVEL METHOD CAN QUANTIFY THE ERROR IN THE DTM. WITH THESE HIGH-RESOLUTION DTMS, WE WILL USE OUR PREVIOUSLY DEVELOPED MAPPING AND AUTOMATED ANALYSIS OF RSL (MAARSL) COMBINED WITH A NEW MACHINE LEARNING ALGORITHM TRAINED ON OUR PREVIOUSLY ANNOTATED RSL DETECTIONS TO AUTOMATICALLY IDENTIFY AND CHARACTERIZE RSL. WE WILL EMPLOY A POST-PROCESSING MANUAL REFINEMENT STEP TO ENSURE HIGH QUALITY OF THE RSL DETECTIONS. GEOSTATISTICAL PROPERTIES SUCH AS AREA, RELATIVE ALBEDO, AND SLOPES OF RSL WILL THEN BE COMPUTED GEOSTATISTICS FOR THE RESULTING RSL DATABASE. THESE RSL ATTRIBUTES AND THEIR SEASONALITY WILL BE COMPARED TO WET AND DRY RSL FORMATION MECHANISMS. LASTLY, THE DTMS, SLOPES MAPS, ORTHOIMAGES, AND POLYGONS OF THE MAPPED RSL WILL BE UPLOADED TO THE PDS. .RELEVANCE .OUR PROPOSAL IS DIRECTLY RELEVANT TO THE MDAP PROGRAM AS IT PRIMARILY ANALYZES IMAGES FROM HIRISE ONBOARD MRO (MARS RECONNAISSANCE ORBITER) TO ENHANCE THE SCIENTIFIC RETURN OF THIS MISSION BY STUDYING HOW RSL ARE FORMED. .
Grant for Research
Contractor
Southwest Research Institute (SOUTHWEST RESEARCH INSTITUTE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
08/23/2019
Obligated Amount
$55.3k
80NSSC19K1227 - HYPOTHESES FOR THE GEOLOGIC EVOLUTION, AND THEIR IMPORTANCE IN SEEKING SIGNS OF LIFE FOR THE 4 REMAINING LANDING SITES FOR MARS 2020 ARE TIGHTLY COUPLED TO THEIR MINERALOGY. FOR EXAMPLE AT THE NE SYRTIS AND JEZERO LANDING SITES A REGIONAL OLIVINE-BEARING UNIT IS VARIABLY ALTERED TO CONTAIN MG-CARBONATE (MAGNESITE). THE ALTERATION PATHWAY OF OLIVINE TO MAGNESITE CAN TAKE SEVERAL FORMS WITH DIFFERENT INTERMEDIATE AND FINAL PRODUCT ASSEMBLAGES DEPENDING ON THE DIFFERENT ENVIRONMENTAL CONDITIONS OF FORMATION. TO DATE THE ONLY PHASES POSITIVELY IDENTIFIED ARE OLIVINE AND MAGNESITE WHILE THE PRESENCE OF HYDRATED SILICA, TALC AND SERPENTINE HAS BEEN PROPOSED BUT THE PHASES HAVE NOT BEEN POSITIVELY VERIFIED IN ABUNDANCES NECESSARY TO SUPPORT THE PROPOSED FORMATION HYPOTHESES. THE PROTOLITH ORIGIN CHARACTER IS ALSO IMPORTANT AND IS COUPLED TO ITS ORIGIN. THIS CRYSTALLINE IGNEOUS OLIVINE-BEARING UNIT IS HYPOTHESIZED TO BE FROM IMPACT MELT, VOLCANIC FLOWS, AIRFALL TEPHRA, OR SILICATE RAIN FOLLOWING THE ISIDIS BASIN-FORMING IMPACT. RESOLUTION AMONG THESE HYPOTHESES IN ADVANCE OF THE MARS 2020 CACHING MISSION WOULD HAVE A VALUABLE IMPACT ON SCIENCE RETURN IF THE SAMPLES ARE RETURNED TO EARTH. EACH OF THE HYPOTHESES IS BACKED UP BY DATA ANALYSIS, BUT THEY DIFFER IN THEIR TREATMENT OF THE HYPERSPECTRAL DATA FOR MINERALOGIC DETERMINATION. HOWEVER CONVOLUTION OF SPECTRAL SIGNATURES IN MIXTURES CAN OBSCURE MINERAL SIGNATURES LIMITING TRADITIONAL PRESENCE ABSENCE APPROACHES. TO MOVE BEYOND THESE LIMITATIONS OTHERS HAVE USED ADVANCED SPECTRAL MIXING AND CONVOLUTION ALGORITHMS TO PROPOSE RICH MINERAL ASSEMBLAGES. WHILE PROMISING THESE RESULTS AWAIT VALIDATION AND CONFIRMATION THROUGH RIGOROUS TESTING. THE PROPOSED EFFORT HERE WILL RIGOROUSLY EXAMINE HYPOTHESES FOR MINERAL ASSEMBLAGES AND GEOLOGIC EVOLUTION WITH ADVANCED DATA ANALYSIS. WE WILL COMPARE AND CONTRAST 4 ADVANCED MINERAL CHARACTERIZATION ALGORITHMS IN THE CONTEXT OF THE SCIENCE OF THE 3 REMAINING MARS 2020 LANDING SITES. THE ALGORITHMS THAT WILL BE COMPARED ARE (1) RADIATIVE TRANSFER UNMIXING FROM OPTICAL CONSTANTS, (2) SPARSE UNMIXING WITH LARGE LIBRARIES OF ENDMEMBERS, (3) TARGET TRANSFORMATION FOR MINERAL PRESENCE/ABSENCE DETERMINATIONS IN CLUTTERED SCENES AND FOR MINERALS WITH SUBTLE FEATURES AND (4) MACHINE LEARNING APPROACHES. THE PROJECT WILL FOCUS ON THE BEST MINERAL EXPOSURES IN THESE FIVE SITES. THE SITES THAT HAVE ROVER COVERAGE (OPPORTUNITY, COLUMBIA HILLS AND CURIOSITY) HAVE A MEASURE OF GROUND TRUTH TO COMPARE WITH. THE MULTIPLE WORKING HYPOTHESES FOR THE GEOLOGIC EVOLUTION WILL BE EVALUATED AGAINST THESE MORE ROBUST ANALYSES OF THE MINERAL. THE PROPOSED WORK IS BROKEN INTO FOUR TASKS. (1) EVALUATION AND COMPARISON OF THE FOUR TECHNIQUES USING TWO SOURCES OF LABORATORY MIXTURE DATA: 1) 8 SUITES OF MIXTURES THAT HAVE EXISTING LABORATORY REFLECTANCE SPECTRA AND 2) LABORATORY HYPERSPECTRAL DATA OF AQUEOUS MINERALS MIXED WITH A NEW MARS SOIL SIMULANT. THE EVALUATION WILL INCLUDE THE ACCURACY OF THE APPROACHES IN DETERMINING THE CORRECT MINERAL ASSEMBLAGES AND WHERE APPROPRIATE ABUNDANCES. (2) ANALYSIS OF HIGH QUALITY CRISM OBSERVATIONS OF THE 4 MARS 2020 LANDING SITES WITH THE FOUR TECHNIQUES. THIS WILL REQUIRE CAREFUL TAILORING OF THE TECHNIQUES TO THE UNIQUE QUALITIES OF CRISM DATA COMPARED TO LABORATORY DATA. (3) CRITICAL EVALUATION OF THE QUALITY OF THE APPROACHES INDEPENDENTLY USING STATISTICAL MEASURES OF GOODNESS OF FIT AND INTER COMPARISON OF THE RESULTS. (4) SYNTHESIS AND RECOMMENDATION FOR FUTURE APPLICATIONS OF THE METHODS. THIS RESEARCH ADDRESSES SEVERAL ELEMENTS OF THE MARS DATA ANALYSIS CALL FROM THE 2018 ROSES. THIS WORK WILL CONTRIBUTE TO THE OPEN SCIENCE QUESTIONS AT THE MARS 2020 LANDING SITES BY ENHANCING UNDERSTANDING OF MINERAL ASSEMBLAGES AND ALSO DIRECTLY ADDRESS THE HIGH PRIORITY AREA CHARACTERIZATION OF POTENTIAL LANDING SITES FOR FUTURE MARS EXPLORATION MISSIONS OUTLINED IN THE SOLICITATION NNH18ZDA001N-MDAP.
Grant for Research
Contractor
BROWN UNIV (BROWN UNIVERSITY IN PROVIDENCE IN THE STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
08/21/2019
Obligated Amount
$208.9k
80NSSC19K1203 - GLOBAL-SCALE ENERGY FLOW THROUGHOUT EARTH S MAGNETOSPHERE IS CATALYZED BY PROCESSES THAT OCCUR IN THE ELECTRON DIFFUSION REGION (EDR) OF MAGNETIC RECONNECTION1. LARGE-SCALE FEATURES OCCURRING IN THE ION DIFFUSION REGION HAVE BEEN STUDIED EXTENSIVELY AT THE MAGNETOPAUSE (MP) AND MAGNETOTAIL, BUT ONLY RARE, FORTUITOUS CIRCUMSTANCES HAVE PERMITTED A GLIMPSE OF THE ELECTRON DYNAMICS THAT BREAK MAGNETIC FIELD LINES AND ENERGIZE PLASMA2 4. THIS PROJECT FACILITATES EDR DISCOVERY BY USING MACHINE LEARNING TO IDENTIFY AND CLASSIFY RECONNECTING CURRENT SHEETS. THE MAGNETOSPHERIC MULTISCALE (MMS) MISSION WAS DESIGNED TO HAVE THE SPATIAL AND TEMPORAL RESOLUTION REQUIRED TO RESOLVE ELECTRON-SCALE PHYSICS ASSOCIATED WITH RECONNECTION5. UNFORTUNATELY, BECAUSE OF TELEMETRY RESTRICTIONS, ONLY A SMALL FRACTION OF THE HIGH TIME-RESOLUTION DATA IS TRANSMITTED TO THE GROUND. TO RESOLVE THIS ISSUE, MMS EMPLOYS AUTOMATED BURST TRIGGERS ONBOARD THE SPACECRAFT AND A SCIENTIST-IN-THE-LOOP (SITL) ON THE GROUND TO SELECT INTERVALS LIKELY TO CONTAIN DIFFUSION REGIONS6,7. ONLY LOW-RESOLUTION SURVEY DATA IS AVAILABLE TO THE SITL, WHICH IS INSUFFICIENT TO RESOLVE ELECTRON DYNAMICS. A STRATEGY FOR THE SITL, THEN, IS TO SELECT ALL MP CROSSINGS6. THIS HAS RESULTED IN>32 POTENTIAL MP EDR ENCOUNTERS8 BUT IS LABOR- AND RESOURCE-INTENSIVE; JUST ~0.7% OF MP CROSSINGS, OR ~0.0001% OF THE MISSION LIFETIME, DURING ITS FIRST TWO YEARS CONTAINED AN EDR. OUR WORK WILL REFOCUS MMS OPERATIONS COSTS TO RESEARCH BY TRANSFERRING KEY SITL PROCESSES INTO AN AUTOMATED GROUND-LOOP. THE WORK PLAN (SECTION 2) AIMS FOR PROGRESSIVE AUTONOMY9 IN MMS SITL OPERATIONS BY USING HIERARCHICAL BAYESIAN MODELS, NEURAL NETWORKS, AND HIDDEN MARKOV MODELS TO 1) IMPROVE AN EXISTING MP DETECTOR, 2) BUILD A BOW SHOCK DETECTOR, AND 3) IDENTIFY AND CLASSIFY RECONNECTING CURRENT SHEETS. TRAINING AND TEST DATASETS ARE EXTRACTED FROM THE MMS MISSION EVENTS ARCHIVE. THE RESULTING MODELS ARE INSTALLED AND RAN AT THE MMS SCIENCE DATA CENTER FROM WHERE THE AUTOMATED SELECTIONS CAN BE ACCESSED BY THE SITL DURING EVENT SELECTION. THIS PROJECT REPRESENTS A KEY ADVANCEMENT MISSION COMPLEXITY BY 1) FACILITATING LARGER DATA RATES AND MORE SPACECRAFT THROUGH CONSOLIDATION OF EVENT SELECTION PROCESSES INTO A NEAR REAL-TIME EXPANDABLE AND ADAPTABLE MACHINE LEARNING FRAMEWORK, AND 2) ACCURATELY IDENTIFYING AND CLASSIFYING EVENTS ASSOCIATED WITH PRIME SCIENCE OBJECTIVES.
Grant for Research
Contractor
UNH AGRICULTURE EXPERIMENT STATION (UNIVERSITY SYSTEM OF NEW HAMPSHIRE)
Contracting Agency/Office
National Aeronautics and Space Administration»Mission Support Directorate»NASA Shared Services Center
Effective date
08/19/2019
Obligated Amount
$100k
FA864919PA471 - ARTIFICIAL INTELL, MACHINE LEARNING, AND DATA ANALYTICS
Purchase Order - 541715 Research and Development in the Physical, Engineering, and Life Sciences
Contractor
NNDATA CORPORATION
Contracting Agency/Office
Air Force
Effective date
08/16/2019
Obligated Amount
$48.7k

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