SBIR Phase I Final Technical Report: Tools for Auto-calibration of Building Energy Models and Fault Detection Topic: 2b
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42 ENGINEERING↗
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Results of First Outdoor Comparison Between Absolute Cavity Pyrgeometer (ACP) and Infrared Integrating Sphere (IRIS) Radiometer at PMOD (Presentation)
The ACP and IRIS are developed to establish a world reference for calibrating pyrgeometers with traceability to SI units. The two radiometers are unwindowed with negligible spectral dependence, and traceable to SI units through the temperature scale (ITS-90). The first outdoor comparison between the two designs was held from January 28 to February 8, 2013 at the Physikalisch-Metorologisches Observatorium Davos (PMOD). The difference between the irradiance measured by ACP and that of IRIS was within 1 W/m2. A difference of 5 W/m2 was observed between the irradiance measured by ACP&IRIS and that of the interim World Infrared Standard Group (WISG).
14 SOLAR ENERGY↗
Methods for synchronizing a countdown routine of a timer key and electronic device
A timer key relating to monitoring a countdown time of a countdown routine of an electronic device is disclosed. The timer key comprises a processor configured to respond to a countdown time associated with operation of the electronic device, a display operably coupled with the processor, and a housing configured to house at least the processor. The housing has an associated structure configured to engage with the electronic device to share the countdown time between the electronic device and the timer key. The processor is configured to begin a countdown routine based at least in part on the countdown time, wherein the countdown routine is at least substantially synchronized with a countdown routine of the electronic device when the timer key is removed from the electronic device. A system and method for synchronizing countdown routines of a timer key and an electronic device are also disclosed.
47 OTHER INSTRUMENTATION↗
Imaging, object detection, and change detection with a polarized multistatic GPR array
A polarized detection system performs imaging, object detection, and change detection factoring in the orientation of an object relative to the orientation of transceivers. The polarized detection system may operate on one of several modes of operation based on whether the imaging, object detection, or change detection is performed separately for each transceiver orientation. In combined change mode, the polarized detection system performs imaging, object detection, and change detection separately for each transceiver orientation, and then combines changes across polarizations. In combined object mode, the polarized detection system performs imaging and object detection separately for each transceiver orientation, and then combines objects across polarizations and performs change detection on the result. In combined image mode, the polarized detection system performs imaging separately for each transceiver orientation, and then combines images across polarizations and performs object detection followed by change detection on the result.
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Development of an Acoustic Instrument for Bubble Size Distribution Measurement
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43 PARTICLE ACCELERATORS↗
Point pattern match-based change detection in a constellation of previously detected objects
A method and system is provided that applies attribute- and topology-based change detection to objects that were detected on previous scans of a medium. The attributes capture properties or characteristics of the previously detected objects, such as location, time of detection, detection strength, size, elongation, orientation, etc. The locations define a three-dimensional network topology forming a constellation of previously detected objects. The change detection system stores attributes of the previously detected objects in a constellation database. The change detection system detects changes by comparing the attributes and topological consistency of newly detected objects encountered during a new scan of the medium to previously detected objects in the constellation database. The change detection system may receive the attributes of the newly detected objects as the objects are detected by an object detection system in real time.
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Weathervane Optimizer SBIR Phase II Final Report
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17 WIND ENERGY↗
Convergence and Commercial Momentum - Industrial Internet of Things Evolution
Industrial instrumentation and sensors are purpose-built for applications. Rugged and proven for field applications in harsh environments, such as on an oil platform or in a copper mine 5,000-feet below ground, these instruments require reliability and performance. Before the turn of the millennium, industrial technology-and information technology (IT) in particular-drove these systems, and they often exceeded the abilities of consumer products. However, as we stand today, commercial Internet of Things (IoT) technology has advanced rapidly, with industrial control systems lagging in intelligence and features. Experienced owner-operators of industrial facilities recognize the buzz surrounding the Industrial Internet of Things (IIoT) but often shun the notion of consumer-grade devices being installed and integrated into an operational control system. During the International Society of Automation (ISA) Process Control and Safety Forum (PCS) in Houston, Texas, in November 2016, ISA’s Communication Division convened a panel to focus on IIoT. Experienced industrial and control engineers on the panel expressed concerns and reservations with IIoT. Whereas some acknowledged an interest in the topic, others did not recognize it as an inevitable part of the industrial controls landscape. Granted, IIoT is still mostly a vision in the instrumentation and automation landscape; however, its place on stage is coming into view. During the opening session of PCS 2016, ISA President Jim Keaveney rhetorically asked the audience if IoT had peaked and also wondered if “cyber” would be the next area for innovation. This paper will explore the nexus of “domestic” IoT and how product evolution will drive its development toward that of IIoT.
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Classification of multispectral or hyperspectral satellite imagery using clustering of sparse approximations on sparse representations in learned dictionaries obtained using efficient convolutional sparse coding
An approach for land cover classification, seasonal and yearly change detection and monitoring, and identification of changes in man-made features may use a clustering of sparse approximations (CoSA) on sparse representations in learned dictionaries. The learned dictionaries may be derived using efficient convolutional sparse coding to build multispectral or hyperspectral, multiresolution dictionaries that are adapted to regional satellite image data. Sparse image representations of images over the learned dictionaries may be used to perform unsupervised k-means clustering into land cover categories. The clustering process behaves as a classifier in detecting real variability. This approach may combine spectral and spatial textural characteristics to detect geologic, vegetative, hydrologic, and man-made features, as well as changes in these features over time.
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Rate based failure detection
This disclosure describes, in part, a system management component and failure detection component for use in a power grid data network to identify anomalies within the network and systematically adjust the quality of service of data published by publishers and subscribed to by subscribers within the network. In one implementation, subscribers may identify a desired data rate, a minimum acceptable data rate, desired latency, minimum acceptable latency and a priority for each subscription. The failure detection component may identify an anomaly within the network and a source of the anomaly. Based on the identified anomaly, data rates and or data paths may be adjusted in real-time to ensure that the power grid data network does not become overloaded and/or fail.
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Distributed Control Architecture for an Integrated Accelerator & Experimental System
Abstract not provided
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Ultrasound waveform tomography with spatial and edge regularization
Synthetic-aperture ultrasound tomography systems and methods using scanning arrays and algorithms configured to simultaneously acquire ultrasound transmission and reflection data, and process the data for improved ultrasound tomography imaging, wherein the tomography imaging comprises total-variation regularization, or a modified total variation regularization, particularly with edge-guided or spatially variant regularization.
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Quantifying Spatially Varying Blur in X-ray Radiographic Imaging Systems
Two goals of quantitative analysis of radiographic data from dynamic material experiments are to identify edge locations and infer material density. Understanding the systematic effect of blur of the imaging system through calibration imagery is the fist step to quantifying, modeling, and eventually mitigating its effect. If modeling geometry and assumptions can be expressed through operator transformations, this leads to natural modifications of the likelihood and prior in a Bayesian formulation of the inverse problem.
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗
Methods of resolving artifacts in Hadamard-transformed data
A method of validating data produced from a multiplexing process on an analytical instrument is disclosed. In one embodiment, the method includes using a pseudorandom sequence to encode a multiplexed segment of data; applying Hadamard transform to generate a demultiplexed segment of the data; aligning the pseudorandom sequence to the multiplexed data; and calculating a score for at least one positive value in the demultiplexed segment to find a valid demultiplexed value.
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
Adaptive sensing for a gas leak detection
A method, a system and an apparatus for adaptively sensing a gas leak. The method includes: obtaining wind data from a wind sensor, identifying at least one wireless mote in a plurality of wireless motes that is most likely to detect a gas plume from the wind data, activating the identified at least one wireless mote to trigger measuring gas concentration of the gas plume, and identifying the location of the gas leak if the gas concentration is above a predetermined threshold. Also included is a system for adaptively sensing a gas leak having a wind sensor, a plurality of wireless motes and a server in communication therewith. An apparatus for adaptively sensing a gas leak in an industrial site is also provided.
03 NATURAL GAS↗
Identifying underground nuclear explosions
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5,000 Robots Merge to Map the Universe in 3-D
How do you create the largest 3-D map of the universe? It’s as easy as teaching 5,000 robots how to “dance.” DESI, the Dark Energy Spectroscopic Instrument, is an experiment that will target millions of distant galaxies by automatically swiveling fiber-optic positioners (the robots) to point at them and gather their light. Scientists working at Berkeley Lab are assembling this array of robots and their related electronics – together representing into a series of 10 wedge-shaped petals that will be fitted together to form a circular focal plane. The focal plane will be mounted near the top of the Mayall Telescope at Kitt Peak National Observatory near Tucson, Arizona. This 3-minute video features interviews with two Berkeley Lab scientists: Joseph Silber, Focal Plane Lead Engineer, DESI Claire Poppett, Lead Fiber Scientist for DESI Video Credit: Marilyn Chung/Berkeley Lab
3-D MAP↗
A DESI ‘Petal’ in Bloom: Time-Lapse Video
This time-lapse video sequence shows how how components are assembled for a single wedge-shaped petal that is part of the Dark Energy Spectroscopic Instrument’s focal plane. This video condenses the work on this petal – which took several weeks – down to about 5 minutes. In all, the focal plane will be composed of 10 petals, each holding 500 robotic positioners. Each of these positioners carries a fiber-optic cable, and the cables will be individually pointed at preset sequences of distant galaxies to gather their light. The light signatures from these galaxies will form the basis for the largest 3-D map of the universe. Each positioner is outfitted with a 3-meter length of fiber-optic cable that will be precisely fused with a 50-meter cable. The focal plane will sit high atop the Mayall Telescope at Kitt Peak National Observatory near Tucson, Arizona. (Credit: Berkeley Lab)
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