Abstract: Methods relate to recovering cores from downhole environments where downhole environmental parameters are measured during coring operations.

Abstract: Segment valuation techniques usable in a digital medium environment are described. To do so, a segment valuation system first identifies the attributes that are significant in achievement of a desired metric (e.g., conversion) and then values segments based on those significant attributes. Attributes are selected from the trained model based on significance of those attributes towards achieving the desired metric. A valuation of a segment may then be calculated based on the valuations of these attributes. For example, inclusion of the selected attributes within a segment, and the valuations of those selected attributes, is then used by the segment valuation system to generate data describing a value of the segment towards achieving the metric.

Abstract: A method and apparatus for recovering cores from downhole environments where down hole environmental parameters are measured during coring operations to maximize the success of core recovery.

Abstract: Matrix completion and recommendation provision with deep learning is described. A matrix manager system imputes unknown values of incomplete input matrices using deep learning. Unlike conventional techniques, the matrix manager system completes incomplete input matrices using deep learning regardless of whether an input matrix represents numerical, categorical, or a combination of numerical and categorical attributes. To enable a machine-learning model (e.g., an autoencoder) to complete a matrix, the matrix manager system initially encodes the matrix. This involves normalizing known values of numerical attributes and categorically encoding known values of categorical attributes. The matrix manager system performs categorical encoding by replacing information of a given categorical attribute (e.g., an attribute column) with replacement information for each possible value of the attribute (e.g., new columns for each possible value).

Abstract: A method and apparatus for recovering cores from downhole environments where downhole environmental parameters are measured during coring operations to maximize the success of core recovery.

Abstract: A method is disclosed herein which comprises receiving a user request for map information at a server. The method also comprises requesting one or more base map tiles from a remote server based on the user request, the request including zoom level information and tile position information. At the server, the request is normalised based on the zoom information and the tile position information. The method then comprises defining a map view area based on the normalised request, obtaining vessel data relating to a plurality of vessels, determining for each of the plurality of vessels if the vessel lies within the map view area, and creating a new map tile comprising the vessel data for the vessels determined to lie within the map view area. The method then comprises causing display of the user requested base map tiles and overlaying the new map tile at a user device.

Abstract: Segment valuation techniques usable in a digital medium environment are described. To do so, a segment valuation system first identifies the attributes that are significant in achievement of a desired metric (e.g., conversion) and then values segments based on those significant attributes. Attributes are selected from the trained model based on significance of those attributes towards achieving the desired metric. A valuation of a segment may then be calculated based on the valuations of these attributes. For example, inclusion of the selected attributes within a segment, and the valuations of those selected attributes, is then used by the segment valuation system to generate data describing a value of the segment towards achieving the metric.

Abstract: Segment valuation techniques usable in a digital medium environment are described. To do so, a segment valuation system first identifies the attributes that are significant in achievement of a desired metric (e.g., conversion) and then values segments based on those significant attributes. Attributes are selected from the trained model based on significance of those attributes towards achieving the desired metric. A valuation of a segment may then be calculated based on the valuations of these attributes. For example, inclusion of the selected attributes within a segment, and the valuations of those selected attributes, is then used by the segment valuation system to generate data describing a value of the segment towards achieving the metric.

Abstract: A method and apparatus for recovering cores from downhole environments where down hole environmental parameters are measured during coring operations to maximize the success of core recovery.

Abstract: A method is disclosed herein which comprises receiving a user request for map information at a server. The method also comprises requesting one or more base map tiles from a remote server based on the user request, the request including zoom level information and tile position information. At the server, the request is normalised based on the zoom information and the tile position information. The method then comprises defining a map view area based on the normalised request, obtaining vessel data relating to a plurality of vessels, determining for each of the plurality of vessels if the vessel lies within the map view area, and creating a new map tile comprising the vessel data for the vessels determined to lie within the map view area. The method then comprises causing display of the user requested base map tiles and overlaying the new map tile at a user device.

Abstract: A liquid dispenser has a bay surrounded by a shaped frame that is sized to receive a shaped refill inserted at an acute angle of 75 degrees or less in relation to the dispenser's lateral central axis. This unique arrangement is designed to maintain consistent quality of liquids dispensed by preventing the substitution of product refills having different shapes whose contents are of uncertain quality. Refills may be readily manufactured and at low cost. Mechanical and motorized dispensers with optional proximity detection of a user's hand may be used with the inventive dispenser and refill arrangement. Liquid or foam may be dispensed depending on the design of the dispenser pump.

Abstract: Matrix completion and recommendation provision with deep learning is described. A matrix manager system imputes unknown values of incomplete input matrices using deep learning. Unlike conventional techniques, the matrix manager system completes incomplete input matrices using deep learning regardless of whether an input matrix represents numerical, categorical, or a combination of numerical and categorical attributes. To enable a machine-learning model (e.g., an autoencoder) to complete a matrix, the matrix manager system initially encodes the matrix. This involves normalizing known values of numerical attributes and categorically encoding known values of categorical attributes. The matrix manager system performs categorical encoding by replacing information of a given categorical attribute (e.g., an attribute column) with replacement information for each possible value of the attribute (e.g., new columns for each possible value).

Abstract: An apparatus and computerized method are provided for monitoring the positions of a plurality of vessels that may be capable of responding to an event one or more vessels. The apparatus comprises a first receiver device configured to receive vessel identification and vessel position information originating from respective sources located onboard each of the plurality of vessels; a second receiver device configured to receive a plurality of vessel data fields regarding the plurality of vessels from a vessel database; a third receiver device configured to receive a data request, the data request identifying an event; and a processor configured to receive and correlate the vessel position information and the plurality of vessel data fields for each of the plurality of vessels to produce vessel response data.