Award Data

Toyon proposes to research and develop algorithms for generalized salient change detection, and to incorporate these algorithms into software tools implemented on the cloud. Our approach leverages the two most promising methods from Phase I, both based on supervised learning. The first method is the entropy-based feature vector and corresponding neural network, which we will apply at a coarse sear ...

Due to the lack of consistency in existing automated methods for assigning VNIIRS levels to motion imagery, and the overwhelming human resources required to manually assign levels, a new method of automated/semi-automated VNIIRS assessment is needed. In recent years, advancements in deep learning have provided solutions to previously intractable computer vision problems. In many cases, automated d ...

Toyon Research Corporation proposes to develop algorithms that improve the precision and recall of neural networks for low-shot object classification and detection. Our approach is based upon developing a descriptive multi-domain feature representation of the low-shot target as well as the surrounding context. A multi-branch neural network merges the various domains of information to perform accur ...

Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...

SA Photonics’ Optical Navigation and Ranging (ONAR) system is an interrogative system that operate underwater in wavelength range of blue/green (450-540 nm) and enables navigational correction to IMU based dead reckoning navigation. The location based beacons are battery operated and have operational life span of over one year. The system is designed to operate in on demand burst mode so that no ...

SAFETY SYSTEM TEMPERATURE SENSORS IN NUCLEAR POWER PLANTS ARE SUBJECT TO PERFORMANCE DEGRATION BECAISE PF AGING EFFECTS. A PROGRAM OF LABORATORY TESTING AND IN-SITU TESTINGIS NEEDED TO ENSURE THAT AGING DOES NOT LEAD TO REDUCED SAFETY AND AVAILABILITY. MUCH OF THE TECHNOLOGY NEEDED FOR THIS PROGRAM NOW EXISTS AS ISOLATED METHODS AND PROCEDURES. THESE WILL BE USED IN THIS PROJECT TO PERFORM AN AGIN ...

AN ALPHA/BETA RADIATION DETECTOR SUITABLE FOR USE IN THE INSTRUMENT CHANNEL OF A FIBEROPTIC ENDOSCOPE WILL BE WILL BE DEVELOPED TO PROVIDE IN-VIVO IN-SITU BIOASSAY MEASUREMENTS LEADING TO COMPUTER-ASSISTED ESTIMATES OF IN- TERNAL DOSE AND DISTRIBUTION IN THE RESPIRATORY AND GASTRO- INTESTINAL TRACTS. DURING PHASE I OF THE PROGRAM, ALPHA AND BETA PARTICLE SENSITIVE SCINTILLATING PLASTIC FIBERS WILL ...

THE OBJECTIVE OF THE PROPOSED RESEARCH IS TO BUILD A USER-FRIENDLY, PERSONAL COMPUTER BASED WORKSTATION FOR PERFORMING TRAC-BWR ANALYSIS. THE SOFTWARE WILL ALLOW A USER TO READ-IN DATA FROM EXISTING TRAC-BWR INPUT DECKS (ASCII), DRAW NODALIZATION DIAGRAM, MODIFY INPUT, AUTOMATICALLY RENODALIZE THE VESSEL, CHAN AND PIPE COMPONENTS, GENERATE INPUT DECK, SUBMIT JOB, BRING BACK PLOTDATA, DISPLAY RESUL ...

A RESEARCH PROGRAM IS PROPOSED FOR THE DEVELOPMENT OF A VALIDATED METHODOLOGY FOR PREDICTING THE EX-VESSEL BUOYANCY-DRIVEN FLOWS IN THE HOT LEG AND STEAM GENERATOR OF A WESTINGHOUSE PLANT, AND IN THE CANDY CANE HOT LEG OF A B&W PLANT. THE PROPOSED PHASE I WORK PLAN CONSISTS OF (A) REVIEWING AVAILABLE WESTINGHOUSE EXPERIMENTAL DATA AND SIMULATING THE EXPERIMENTAL CONFIGURATION, (B) VALIDATING THE M ...

TECHNIQUES HAVE RECENTLY BEEN DEVELOPED TO ANALYZE THE 'SEISMIC MARGIN' OF A NUCLEAR POWER PLANT USING THE HCLPF CONCEPT (HIGH CONFIDENCE OF A LOW PROBABILITY OF FAILURE). STARTING WITH AN EARTHQUAKE LEVEL SHOSEN FOR MARGIN REVIEW, THE TECHNIQUE DETERMINES WHETHER THE PLANT CAN OR CANNOT 'WITHSTAND THE REVIEW-EARTHQUAKE WITHOUT CORE DAMAGE. HERE 'WITHSTAND' MEANS 'WITHSTAND WITH A HIGH CONFIDENCE ...