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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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Intrusion Detection & Response using an Unsupervised Artificial Neural Network on a Single Board Computer for Building Control Resilience.
Abstract not provided.
SCAPHY: Detecting Modern ICS Attacks by Correlating Behaviors in SCADA and Physical.
Abstract not provided.
Efficient Detection of Communities in Biological Bipartite Networks
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Evolving Decision Trees to Detect Anomalies in Recurrent ICS Networks.
Abstract not provided.
Remotely detected vehicle mass from engine torque-induced frame twisting
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Image Registration and Change Detection for Artifact Detection in Remote Sensing Imagery
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Phenomenological versus random data augmentation for hyperspectral target detection.
Abstract not provided.
Paired Neural Networks for Hyperspectral Target Detection.
Abstract not provided.
One-shot gas detection with transformer paired neural networks in Mako collected longwave infrared hyperspectral imagery
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DarkSide-20k: A 20 tonne two-phase LAr TPC for direct dark matter detection at LNGS
Abstract. Building on the successful experience in operating the DarkSide-50 detector, the DarkSide Collaboration is going to construct DarkSide-20k, a direct WIMP search detector using a two-phase Liquid Argon Time Projection Chamber (LAr TPC) with an active (fiducial) mass of 23 t (20 t). This paper describes a preliminary design for the experiment, in which the DarkSide-20k LAr TPC is deployed within a shield/veto with a spherical Liquid Scintillator Veto (LSV) inside a cylindrical Water Cherenkov Veto (WCV). This preliminary design provides a baseline for the experiment to achieve its physics goals, while further development work will lead to the final optimization of the detector parameters and an eventual technical design. Operation of DarkSide-50 demonstrated a major reduction in the dominant 39Ar background when using argon extracted from an underground source, before applying pulse shape analysis. Data from DarkSide-50, in combination with MC simulation and analytical modeling, shows that a rejection factor for discrimination between electron and nuclear recoils of > 3 × 109 is achievable. This, along with the use of the veto system and utilizing silicon photomultipliers in the LAr TPC, are the keys to unlocking the path to large LAr TPC detector masses, while maintaining an experiment in which less than < 0.1 events (other than ?-induced nuclear recoils) is expected to occur within the WIMP search region during the planned exposure. DarkSide-20k will have ultra-low backgrounds than can be measured in situ, giving sensitivity to WIMP-nucleon cross sections of 1.2×10 -47 cm2 (1.1×10 -46 cm2) for WIMPs of 1TeV/c2 (10TeV/c2) mass, to be achieved during a 5 yr run producing an exposure of 100 t yr free from any instrumental background.
Retinal-Inspired Algorithms for Detection of Moving Objects.
Abstract not provided.
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations.
Abstract not provided.
Design and Evaluation of GPU-FPX: A Low-Overhead tool forFloating-Point Exception Detection in NVIDIA GPUs
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Aerosol Plume Detection Algorithm Based on Image Segmentation of Scanning Atmospheric Lidar Data
An image-processing algorithm has been developed to identify aerosol plumes in scanning lidar backscatter data. The images in this case consist of lidar data in a polar coordinate system. Each full lidar scan is taken as a fixed image in time, and sequences of such scans are considered functions of time. The data are analyzed in both the original backscatter polar coordinate system and a lagged coordinate system. The lagged coordinate system is a scatterplot of two datasets, such as subregions taken from the same lidar scan (spatial delay), or two sequential scans in time (time delay). The lagged coordinate system processing allows for finding and classifying clusters of data. The classification step is important in determining which clusters are valid aerosol plumes and which are from artifacts such as noise, hard targets, or background fields. These cluster classification techniques have skill since both local and global properties are used. Furthermore, more information is available since both the original data and the lag data are used. Performance statistics are presented for a limited set of data processed by the algorithm, where results from the algorithm were compared to subjective truth data identified by a human.
Hybrid fs/ps Rotational CARS Temperature/Species Detection at kHz Rate.
Abstract not provided.
Counter UAS Detection and Mitigation: Revolutionizing detect, track, identify, and neutralize unmanned aerial systems.
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Radiation Detection and Nuclear Security Summer School - Activity 3A: Pulse Shape Discrimination and Fast Neutron Detection
THE NEUTRON SOURCE: The source of neutrons used will be a 252 Cf source that contains about 1/3 of a microgram. 97% of decays are alpha decays while about 3% are spontaneous fission events emitted with an approximate Maxwellian/Watt spectrum. These neutrons are formed with a spread of kinetic energies ranging up to about 10 MeV (see lecture notes).