Abstract: Methods, computer program products, and computer systems for configuration management are disclosed. Such methods, computer program products, and computer systems include determining whether unstructured data or structured data is available for use as a basis to define an associative template, and in response to a determination that unstructured data is available for use as the basis to define the associative template, determining whether the unstructured data is hierarchically organized. In response to a determination that the unstructured data is hierarchically organized, an associative template can then be defined using the hierarchical organization of the unstructured data, where the unstructured data is hierarchically-organized unstructured data (HOUD).

Abstract: Systems and methods are disclosed for processing spectral imaging (SI) data. A training operation estimates reconstruction matrices based on a spectral mosaic of an SI sensor, generates directionally interpolated maximum a-priori (MAP) estimations of image data based on the estimated reconstruction matrices. The training operation may determine filter coefficients for each of a number of cross-band interpolation filters based at least in part on the MAP estimations, and may determine edge classification factors based at least in part on the determined filter coefficients. The training operation may configure a cross-band interpolation circuit based at least in part on the determined filter coefficients and the determined edge classification factors. The configured cross-band interpolation circuit captures mosaic data using the SI sensor, and recovers full-resolution spectral data from the captured mosaic data.

Abstract: Various embodiments are directed to an optical filter. The optical filter may include a plurality of regions. The plurality of regions may include a first region transmissive of light within a first wavelength range and a second region transmissive of light within a second wavelength range.

Abstract: Systems and methods configured to generate virtual gimbal information for range images produced from 3D depth scans are described. In operation according to embodiments, known and advantageous spatial geometries of features of a scanned volume are exploited to generate virtual gimbal information for a pose. The virtual gimbal information of embodiments may be used to align a range image of the pose with one or more other range images for the scanned volume, such as for combining the range images for use in indoor mapping, gesture recognition, object scanning, etc. Implementations of range image registration using virtual gimbal information provide a realtime one shot direct pose estimator by detecting and estimating the normal vectors for surfaces of features between successive scans which effectively imparts a coordinate system for each scan with an orthogonal set of gimbal axes and defines the relative camera attitude.

Abstract: Systems and methods are disclosed for processing spectral imaging (SI) data. A training operation estimates reconstruction matrices based on a spectral mosaic of an SI sensor, generates directionally interpolated maximum a-priori (MAP) estimations of image data based on the estimated reconstruction matrices. The training operation may determine filter coefficients for each of a number of cross-band interpolation filters based at least in part on the MAP estimations, and may determine edge classification factors based at least in part on the determined filter coefficients. The training operation may configure a cross-band interpolation circuit based at least in part on the determined filter coefficients and the determined edge classification factors. The configured cross-band interpolation circuit captures mosaic data using the SI sensor, and recovers full-resolution spectral data from the captured mosaic data.

Abstract: Various systems, methods, and computer program products are disclosed for performing configuration management functionality on hierarchically-organized unstructured data using associative templates. Such methods, computer program products, and computer systems include identifying a node in the associative template and setting a configuration parameter to a parameter value, based on a template association. The node in the associative template is a node in a hierarchy of an associative template. The identifying indicates a template association between the node in the associative template and a node in a hierarchy of hierarchically-organized unstructured data (HOUD). The parameter value is maintained in the node in the associative template, and the node comprises the configuration parameter.

Abstract: A system may include an unmanned surveyor and a controller for the surveyor. The controller may include a headset. The surveyor includes a vehicle for moving within an environment and a camera for capturing video or images of the environment. The surveyor identifies points within the environment, and positions of those points (e.g., latitude, longitude, elevation). The surveyor may calculate spatial dimensions of virtual lines and/or shapes superimposed within the real-world environment. The controller may control the surveyor. The surveyor may be responsive to a controller headset that detects movement. The controller may display video or images captured by the surveyor, and may provide to a user an immersive first-person perspective of the environment. The user may utilize the controller to superimpose virtual lines and shapes onto the environment. These superimposed lines and shapes may trace real-world objects, enabling the user to remotely evaluate features of the real-world objects.

Abstract: An electronic device for selecting a transform is described. The electronic device includes at least one image sensor, a memory, and a processor coupled to the memory and to the at least one image sensor. The processor is configured to obtain at least two images from the at least one image sensor. The processor is also configured to characterize structural content of each of the at least two images to produce a characterization for each image that is relevant to transform performance. The processor is further configured to select at least one transform from a set of transforms based on the characterization. The processor is additionally configured to apply the at least one transform to at least one of the images to substantially align the at least two images.

Abstract: Systems and methods configured to generate virtual gimbal information for range images produced from 3D depth scans are described. In operation according to embodiments, known and advantageous spatial geometries of features of a scanned volume are exploited to generate virtual gimbal information for a pose. The virtual gimbal information of embodiments may be used to align a range image of the pose with one or more other range images for the scanned volume, such as for combining the range images for use in indoor mapping, gesture recognition, object scanning, etc. Implementations of range image registration using virtual gimbal information provide a realtime one shot direct pose estimator by detecting and estimating the normal vectors for surfaces of features between successive scans which effectively imparts a coordinate system for each scan with an orthogonal set of gimbal axes and defines the relative camera attitude.

Abstract: Systems and method for refining a depth map of a scene based upon a captured image of the scene. A captured depth map of the scene may contain outage areas or other areas of low confidence. The depth map may be aligned with a color image of the scene, and the depth values of the depth map may be adjusted based upon corresponding color values of the color image. An amount of refinement for each depth value of the aligned depth map is based upon the confidence value of the depth value and a smoothing function based upon a corresponding location of the depth value on the color image.

Abstract: We describe a cloud-based system for monitoring food storage/processing. The system comprises: at least one fixed sensor for installation in an environment to be monitored, configured to collect fixed location environment data relating to the monitored environment; at least one handheld sensor for a user to collect mobile location environment data relating to the monitored environment; and a remote monitoring and reporting system located remote to the monitored environment, to collect the fixed location environment data and the mobile location environment data from the fixed sensor and handheld sensor respectively, and to audit the collected data as coming from the fixed sensor and the handheld sensor.

Abstract: Disclosed are processes for the production of composition comprising one or more fructose amino acids, said process comprising the steps of: (a) providing plant material derived from a botanical source selected from plants of the families Solanaceae, Compositae, (Asteraceae), Guttiferae, Umbelliferae, Papaveraceae, Vitidaceae or Acanthaceae; (b) extracting one or more fructose amino acid(s) from said plant material; and optionally (c) detecting the presence and/or measuring the amount of said fructose amino acid(s) in the extract of step (b).

Abstract: A system may include an unmanned surveyor and a controller for the surveyor. The controller may include a headset. The surveyor includes a vehicle for moving within an environment and a camera for capturing video or images of the environment. The surveyor identifies points within the environment, and positions of those points (e.g., latitude, longitude, elevation). The surveyor may calculate spatial dimensions of virtual lines and/or shapes superimposed within the real-world environment. The controller may control the surveyor. The surveyor may be responsive to a controller headset that detects movement. The controller may display video or images captured by the surveyor, and may provide to a user an immersive first-person perspective of the environment. The user may utilize the controller to superimpose virtual lines and shapes onto the environment. These superimposed lines and shapes may trace real-world objects, enabling the user to remotely evaluate features of the real-world objects.

Abstract: Compositions comprising isolated ido-BR1 are described for use in therapy or prophylaxis, including the treatment of inflammatory diseases (for example as anti-inflammatory drugs) and to reduce inflammation. Also described are methods for monitoring the quality of a Cucurbitaceae extract, to processes for producing a Cucurbitaceae extract as well as to Cucurbitaceae extracts obtainable by such processes.

Abstract: An electronic device for selecting a transform is described. The electronic device includes at least one image sensor, a memory, and a processor coupled to the memory and to the at least one image sensor. The processor is configured to obtain at least two images from the at least one image sensor. The processor is also configured to characterize structural content of each of the at least two images to produce a characterization for each image that is relevant to transform performance. The processor is further configured to select at least one transform from a set of transforms based on the characterization. The processor is additionally configured to apply the at least one transform to at least one of the images to substantially align the at least two images.

Abstract: Methods, computer program products, and computer systems for configuration management are disclosed. Such methods, computer program products, and computer systems include identifying an associative template node and setting a configuration parameter to a parameter value, based on a template association. The associative template node is a node in a hierarchy of an associative template. The identifying indicates a template association between the associative template node and a node in a hierarchy of hierarchically-organized unstructured data (HOUD). The parameter value is maintained in the associative template node, and the node comprises the configuration parameter.

Abstract: Compositions comprising isolated ido-BR1 are described for use in therapy or prophylaxis, including the treatment of inflammatory diseases (for example as anti-inflammatory drugs) and to reduce inflammation. Also described are methods for monitoring the quality of a Cucurbitaceae extract, to processes for producing a Cucurbitaceae extract as well as to Cucurbitaceae extracts obtainable by such processes.

Abstract: A video streaming system includes a handheld computing device that asynchronously streams video to a storage subsystem. The handheld computing device receives and buffers video data of contiguous video samples and, after a predefined amount of contiguous video samples has been buffered, assigns an index for that predefined amount of contiguous video samples and asynchronously transmits the index and those contiguous video samples to a storage subsystem of a broadcast server system. The handheld computing device, upon determining that the predefined amount of contiguous video samples has been received by the storage subsystem, transmits a notification message to an application server of the broadcast server system that includes the assigned index and indicates that the corresponding contiguous video samples are stored on the storage subsystem. The notification message causes the application server to fetch those video samples according to the index and process them for broadcasting to client computing devices.

Abstract: Processes for the production of a composition comprising material derived from seeds of plants of the genus Oryza, the process comprise the steps of: (a) providing material derived from seeds of the genus Oryza; and (b) determining the presence or absence and/or measuring the amount of at least one iminosugar in the material of step (a). Also described is the use of material derived from seeds of plants of the genus Oryza, which material comprises at least one iminosugar, as a food or feed supplement for lowering the glycaemic index (GI) value of said food or feed.

Abstract: Described are compositions comprising imino sugar acids for the treatment of energy utilization disease (e.g. metabolic syndrome, including any disease or disorder associated therewith, for example central obesity, elevated levels of triglycerides and diabetes, including type 1 diabetes, type 2 diabetes and insulin resistance), processes for producing said compositions from various plant sources, together with various products, compounds, compositions, medical uses and methods based thereon.