Abstract: A method for creating an environment model includes receiving measurement data from a satellite navigation system, classifying the measurement data with respect to a line of sight, and generating wall objects.

Abstract: A computer-implemented method for determining field boundaries and crop forecasts in each field is provided. The method includes deriving vegetation indices for each geo-spatial pixel of each image of multi-spectral imagery at a plurality of points in time, constructing minimum bounding boxes for each image according to the vegetation indices, and generating, based on a neural network analysis of each image and the minimum bounding boxes, a geo-spatial plot of crops including a predicted plot of future crop usage for an area including each field in the multi-spectral imagery.

Abstract: The present invention relates to a method of making a composite material, the method comprising: (1) forming a Pickering emulsion comprising a continuous liquid phase, a discontinuous liquid phase, and a 2D material: wherein the discontinuous liquid phase comprises a polysiloxane and a curing agent; (2) leaving the Pickering emulsion formed in step (1) in a sealed system for sufficient time to at least partially cure the polysiloxane: and (3) allowing any remaining liquid to evaporate.

Abstract: A database system includes a processing sub-system having an electronic hardware controller that receives first formatted data, and an electronic file formatting sub-system having an electronic hardware controller that assigns coordinate values corresponding to a second data format to the first formatted data. The file formatting sub-system generates a dual-format data file that fuses together the first formatted data with the coordinate values corresponding to a second data format. The database system further includes a storage sub-system having a data storage unit configured to store the dual-format data file.

Abstract: A database system includes a processing sub-system having an electronic hardware controller that receives first formatted data, and an electronic file formatting sub-system having an electronic hardware controller that assigns coordinate values corresponding to a second data format to the first formatted data. The file formatting sub-system generates a dual-format data file that fuses together the first formatted data with the coordinate values corresponding to a second data format. The database system further includes a storage sub-system having a data storage unit configured to store the dual-format data file.

Abstract: A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.

Abstract: Scalable feature classification for 3D point cloud data is provided. In one aspect, a method for rasterizing 3D point cloud data includes: obtaining the 3D point cloud data; generating a digital elevation model (DEM) from the 3D point cloud data; decomposing the DEM into local and global fluctuations to obtain a local DEM; generating geo-referenced shapes by automatically thresholding the local DEM; cropping and normalizing the local DEM using minimum bounding boxes derived from the geo-referenced shapes and manual annotations from subject matter experts to create a cropped DEM; and linking geo-spatially tagged labels from the subject matter experts to the cropped DEM. These data can be then directly fed into a system having an ensemble of artificial neural networks. By way of example, a scalable ecosystem is presented on the basis of the geo-spatial platform IBM PAIRS.

Abstract: A computer-implemented method for determining field boundaries and crop forecasts in each field is provided. The method includes deriving vegetation indices for each geo-spatial pixel of each image of multi-spectral imagery at a plurality of points in time, constructing minimum bounding boxes for each image according to the vegetation indices, and generating, based on a neural network analysis of each image and the minimum bounding boxes, a geo-spatial plot of crops including a predicted plot of future crop usage for an area including each field in the multi-spectral imagery.

Abstract: A workflow to optimize a fracturing fluid for injection into a subterranean formation is provided. The workflow comprises measurement of fundamental properties and characteristics of reservoir rock and fluid, their interaction with fracturing fluid, computer-based models and laboratory performance testing to select preferred fracturing base fluid and additives package for use in fracturing/re-fracturing stimulation of specific shale formations to enhance hydrocarbon recovery.

Abstract: A computer-implemented method for determining farm boundary delineations within a target geographic area, comprising extracting data from pixels of a satellite image of the target geographic area, evaluating the data using a classification algorithm to generate one or more line segments between adjacent pixels, the one or more line segments being representative of a portion of a boundary delineation, connecting the one or more line segments to an adjacent line segment to form a boundary delineation defining at least one parcel of land within the target geographic area, and generating a boundary delineation map including the boundary delineation.

Abstract: Scalable feature classification for 3D point cloud data is provided. In one aspect, a method for rasterizing 3D point cloud data includes: obtaining the 3D point cloud data; generating a digital elevation model (DEM) from the 3D point cloud data; decomposing the DEM into local and global fluctuations to obtain a local DEM; generating geo-referenced shapes by automatically thresholding the local DEM; cropping and normalizing the local DEM using minimum bounding boxes derived from the geo-referenced shapes and manual annotations from subject matter experts to create a cropped DEM; and linking geo-spatially tagged labels from the subject matter experts to the cropped DEM. These data can be then directly fed into a system having an ensemble of artificial neural networks. By way of example, a scalable ecosystem is presented on the basis of the geo-spatial platform IBM PAIRS.

Abstract: An embodiment of a reagent container includes a bottle with a pipe to reduce the effects of reagent sloshing. The bottle has an elongated base and an opposed cover connected by side walls and an end wall. A flat platform surrounded by a raised rim lies in the base opposite an opening in the cover. A ribbed pipe frictionally fits within the bottle opening and may attach to the anchor region leaving vent passages around the pipe. The pipe includes an aperture adjacent to the anchor region and oriented toward the end wall so that sloshed fluid has only a small effect on the level of reagent in the pipe during transfers. A modified blow molding process produces the anchor region by extending a pin a predetermined distance into a mold while the molded material is still plastic.

Abstract: A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.

Abstract: A computer-implemented method for crop type identification using satellite observation and weather data. The method includes extracting current and historical data from pixels of satellite images of a target region, generating temporal sequences of vegetation indices, based on the weather data, converting each timestamp of the temporal sequences into a modified temporal variable correlating with actual crop growth, training a classifier using a set of historical temporal sequences of vegetation indices with respect to the modified temporal variable as training features and corresponding historically known crop types as training labels, identifying a crop type for each pixel location within the satellite images using the trained classifier and the historical temporal sequences of vegetation indices with respect to the modified temporal variable for a current crop season, and estimating a crop acreage value by aggregating identified pixels associated with the crop type.

Abstract: In an example, a device for controlling an electronic switch between a power supply and a load includes a first device pin configured to be in communication with the electronic switch, a sensing circuit configured to be connected to an input voltage and to measure a current to the load, a control circuit configured to be in communication with the sensing circuit and the electronic switch, the control circuit configured to use a current limit signal to control operation of the electronic switch, and a current limit circuit configured to be in communication with the control circuit, the current limit circuit configured to generate the current limit signal representing a current limit and automatically adjust the current limit signal in response to a change in at least one of the input voltage and an output voltage.

Abstract: A computer-implemented method includes receiving one or more training images depicting one or more training geographical regions. One or more environmental characteristic (EC) values are determined for the training images. The EC values include at least one EC value for each of the training images. One or more models are generated for mapping an EC value of an image to a determination of whether an artifact is present in a geographical region depicted by the image, based on the EC values and based on knowledge of which of the training images depict training geographical regions having artifacts present. A new image is received depicting a new geographical region. The models are applied to the new image. A probability that a new artifact is present in the new geographical region depicted in the new image is determined, based on the applying the models to the new image.

Abstract: An embodiment includes dividing a map into a first grid comprising a first plurality of cells with a first resolution and into a second grid comprising a second plurality of cells with a second resolution; determining that, because an initial portion of a key of a first cell of the second grid comprises a key of a first cell of the first grid, the first cell of the first grid comprises the first cell of the second grid; storing the first and the second grid in memories of distributed servers, wherein the first cell of the first grid and the first cell of the second grid are stored in a same one of the distributed servers or are stored in neighboring ones of the distributed servers; and directing respective processors of the distributed servers to perform a parallel search of the first grid and the second grid using the keys.

Abstract: Using various circuits and methods, current can be controlled when a circuit board is plugged into a powered system using two charging paths so that a first current can be supplied between a supply voltage and the load in a first charging path during a first time period and a second current can be supplied between the supply voltage and the load in a second charging path during a second time period.

Abstract: In an example, a circuit for controlling at least two electronic switches in a parallel configuration between a power supply and a load. The circuit includes a control circuit to generate first and second control signals to control first and second electronic switches of the at least two electronic switches, and establish a conduction sequence of the first and second electronic switches using the first and second control signals. The circuit includes a detection circuit configured to detect a current flowing through a control terminal of the first electronic switch during a transition portion, wherein the circuit is configured to adjust the first control signal and establish the second portion of the conduction sequence in response to the detected current.

Abstract: A workflow to optimize a fracturing fluid for injection into a subterranean formation is provided. The workflow comprises measurement of fundamental properties and characteristics of reservoir rock and fluid, their interaction with fracturing fluid, computer-based models and laboratory performance testing to select preferred fracturing base fluid and additives package for use in fracturing/re-fracturing stimulation of specific shale formations to enhance hydrocarbon recovery.