Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: An interactive top-down emissions model, and methods of generating thereof, are disclosed. An example method comprises: receiving reference emissions reports respectively associated with an organization, a basin, or a facility. Each reference emissions report indicates reference emissions data associated with the organization, the basin, or the facility over a predefined time period. Facility information indicating ownership history and/or placement history of facilities are also received.

Abstract: This invention relates to heterogeneous catalysts useful for selective hydrogenation of unsaturated hydrocarbons, comprising palladium and optionally a promoter, supported on a substrate, having an uncoated BET surface area of ?9 m2/g, the surface being coated with an ionic liquid. Also described are methods of making the catalysts and methods of selective hydrogenation of acetylene and/or dienes in front-end mixed olefin feed streams.

Abstract: This invention relates to heterogeneous catalysts useful for selective hydrogenation of unsaturated hydrocarbons, comprising palladium and optionally a promoter, supported on a substrate, having an uncoated BET surface area of ?9 m2/g, the surface being coated with an ionic liquid. Also described are methods of making the catalysts and methods of selective hydrogenation of acetylene and/or dienes in front-end mixed olefin feed streams.

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: Some embodiments include an integrated assembly having an access device between a storage element and a conductive structure. The access device has channel material which includes semiconductor material. The channel material has a first end and an opposing second end, and has a side extending from the first end to the second end. The first end is adjacent the conductive structure, and the second end is adjacent the storage element. Conductive gate material is adjacent the side of the channel material. A first domed metal-containing cap is over the conductive structure and under the channel material and/or a second domed metal-containing cap is over the channel material and under the storage element. Some embodiments include methods of forming integrated assemblies.

Abstract: Some embodiments include an integrated assembly having an access device between a storage element and a conductive structure. The access device has channel material which includes semiconductor material. The channel material has a first end and an opposing second end, and has a side extending from the first end to the second end. The first end is adjacent the conductive structure, and the second end is adjacent the storage element. Conductive gate material is adjacent the side of the channel material. A first domed metal-containing cap is over the conductive structure and under the channel material and/or a second domed metal-containing cap is over the channel material and under the storage element. Some embodiments include methods of forming integrated assemblies.

Abstract: A helmet may be worn on a head of a wearer having a shape and a contour. The helmet may have a plurality of layers coupled together including an energy management layer and an outer shell layer disposed over the energy management layer. The plurality of layers are integrally formed with one another, and the energy management layer is configured to absorb and dissipate energy received by the helmet during an impact by an external force. The outer shell layer is configured to disperse and dissipate impact energy from the external force. Each of the plurality of layers has a density and a geometry, and the density or geometry of at least one layer differs from the density or geometry of at least another layer.

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: This specification describes systems and methods for generating a mapping of a physical space from point cloud data for the physical space. The methods can include receiving the point cloud data for the physical space, filtering the point cloud data to, at least, remove sparse points from the point cloud data, aligning the point cloud data along x, y, and z dimensions that correspond to an orientation of the physical space, and classifying the points in the point cloud data as corresponding to one or more types of physical surfaces. The methods can also include identifying specific physical structures in the physical space based, at least in part, on classifications for the points in the point cloud data, and generating the mapping of the physical space to identify the specific physical structures and corresponding contours for the specific physical structures within the orientation of the physical space.

Abstract: A chin strap assembly comprises a chin cup and a chin strap for mounting the chin cup to a helmet. The chin cup has a first side for contacting a user's chin and a second side opposite the first side, the second side including a first engaging structure. The chin strap has a second engaging structure for coupling the chin strap to the chin cup via the first engaging structure. The first engaging structure is offset on the chin cup and the second engaging structure is offset on the chin strap to provide various positioning options of the chin cup relative to the helmet.

Abstract: Some embodiments include an integrated transistor having an active region comprising semiconductor material. A conductive gating structure is adjacent to the active region. The conductive gating structure includes an inner region proximate the active region and includes an outer region distal from the active region. The inner region includes a first material containing titanium and nitrogen, and the outer region includes a metal-containing second material. The second material has a higher conductivity than the first material. Some embodiments include integrated assemblies. Some embodiments include methods of forming integrated assemblies.

Abstract: This specification describes systems and methods for refining point cloud data. Methods can include receiving point cloud data for a physical space, iteratively selecting points along an x, y, and z dimension, clustering the selected points into 2D histograms, determining a slope value for each 2D histogram, and removing, based on the slope value exceeding a predetermined value, points from the point cloud data. Methods can also include iteratively voxelizing each 2D histogram into predetermined mesh sizes, summating points in each voxelized 2D histogram, removing, based on determining the summation is below a predetermined sum value, points from the point cloud data, keeping, based on determining that a number of points in each voxelized 2D histogram exceeds a threshold value, a center point, selecting, for each histogram, a point, identifying, nearest neighbors in the point cloud data, removing the identified nearest neighbors from the data, and returning remaining points.

Abstract: This specification describes systems and methods for generating a mapping of a physical space from point cloud data for the physical space. The methods can include receiving the point cloud data for the physical space, filtering the point cloud data to, at least, remove sparse points from the point cloud data, aligning the point cloud data along x, y, and z dimensions that correspond to an orientation of the physical space, and classifying the points in the point cloud data as corresponding to one or more types of physical surfaces. The methods can also include identifying specific physical structures in the physical space based, at least in part, on classifications for the points in the point cloud data, and generating the mapping of the physical space to identify the specific physical structures and corresponding contours for the specific physical structures within the orientation of the physical space.

Abstract: Some embodiments include an integrated transistor having an active region comprising semiconductor material. The active region includes a first source/drain region, a second source/drain region and a channel region between the first and second source/drain regions. A conductive gating structure is operatively proximate the channel region and comprises molybdenum. The integrated transistor may be incorporated into integrated memory, such as, for example, DRAM, FeFET memory, etc. Some embodiments include methods of forming integrated assemblies and devices, such as, for example, integrated transistors, integrated memory, etc.

Abstract: A helmet includes a helmet body and a clip coupled to the helmet body, for retaining a helmet accessory such as a face cage. The clip comprises a first clip section partly defining an aperture into which a part of the helmet accessory can be received and a second clip section located opposite the first clip section. The second clip section has a first end and a second end, the first end partly defining the aperture into which the part of the helmet accessory can be received, and the second end being coupled to the helmet body. The second clip section further includes a ramped surface that can be depressed to provide access to or from the aperture by the part of the helmet accessory. Also disclosed is a clip for retaining a helmet accessory.

Abstract: Refrigeration units for cooling the interior of a trailer or vehicle, related software, systems and methods for deploying and managing such units. The refrigeration unit comprises a refrigeration system configured to mount to the trailer or vehicle. The refrigeration unit further comprises a battery rack configured to receive at least one of a plurality of rechargeable batteries so as to allow it to be swapped into and out of the rack to provide adaptive battery capacity. A power management system is configured to receive DC power from the plural batteries and deliver power to a compressor of the refrigeration system. A controller is configured to control the refrigeration system to cool the interior to a predetermined temperature.

Abstract: Virtual bumpers for autonomous vehicles improve effectiveness and safety as such vehicles are operated. One or more sensor systems having a Lidar sensor and a camera sensor determine proximity of objects around the vehicle and facilitate identification of the environment around the vehicle. The sensor systems are placed at various locations around the vehicle. The vehicle identifies an object and one or more properties of the identified object using the sensor systems. Based on the identified object and the properties of the object, a virtual bumper may be created for that object. For example, if the object is identified as another vehicle moving with a certain velocity, the vehicle may determine a minimum space to avoid the other vehicle, either by changing direction or reducing the velocity of the vehicle, with the minimum space constituting a virtual bumper.

Abstract: A method used in forming a memory array comprises forming digitlines above and electrically couple to memory cells there-below. The digitlines are laterally-spaced relative one another in a vertical cross-section. An upwardly-open void-space is laterally-between immediately-adjacent of the digitlines in the vertical cross-section. Conductive material of the digitlines is covered with masking material that is in and less-than-fills the upwardly-open void-spaces. The masking material is removed from being directly above tops of the digitlines to expose the conductive digitline material and to leave the masking material over sidewalls of the conductive digitline material in the upwardly-open void-spaces. Insulative material is selectively grown from the exposed conductive digitline material relative to the masking material across the upwardly-open void-spaces to form covered void-spaces there-from between the immediately-adjacent digitlines in the vertical cross-section.