Abstract: Systems and methods are disclosed for processing sparse tensors using a trained neural network model. An input sparse tensor may represent a sparse input point cloud. The input sparse tensor is processed using an encoder stage having a series of one or more encoder blocks, wherein each encoder block includes a sparse convolution layer, a sparse intra-channel attention module, a sparse inter-channel attention module, and a sparse residual tower module. Output from the encoder stage is processed using a decoder stage having a series of one or more decoder blocks, wherein each decoder block includes a sparse transpose convolution layer, a sparse inter-channel attention module, and a sparse residual tower module. The output of the decoder stage is an output sparse tensor representing a sparse labeled output point cloud.

Abstract: A luminescent material includes a particle of an irregular shape. The particle of an irregular shape includes a core of an irregular shape and quantum dots. The quantum dots distribute on the core.

Abstract: An elastic reset device arranged in the middle of a grate plate is disclosed, which includes reset blocks, springs, sleeves and a guide plate. The reset blocks comprise a left reset block and a right reset block, the upper ends of the left and right reset blocks are partially overlapped, a folding angle ? is provided at the overlapping portion and is not less than 45 degrees, and a ceramic fiber blanket is filled at the folding angle.

Abstract: The present application relates to a method for acquiring maximum principal strain or a maximum principal stress status of a vessel wall.

Abstract: Devices, systems, methods, and media are described for point cloud data augmentation using model injection, for the purpose of training machine learning models to perform point cloud segmentation and object detection. A library of surface models is generated from point cloud object instances in LIDAR-generated point cloud frames. The surface models can be used to inject new object instances into target point cloud frames at an arbitrary location within the target frame to generate new, augmented point cloud data. The augmented point cloud data may then be used as training data to improve the accuracy of a machine learned model trained using a machine learning algorithm to perform a segmentation and/or object detection task.

Abstract: Introduced here is a decentralized computing system that is designed to efficiently connect various stakeholders involved in the healthcare system. An application that runs on the decentralized computing system may be responsible for performing activities in a secure manner to accelerate the accumulation and sharing of information among the various stakeholders. These activities may be governed by iterative protocols (e.g., blockchain protocols) that are implemented by the application using the decentralized system.

Abstract: A system and method for generating a topological road map are disclosed, the method may include: receiving a plurality of Global Positioning System (GPS) positions representing a travelled path of a vehicle, each GPS position being associated with a respective timestamp; receiving a plurality of three-dimensional (3D) point clouds, each of the plurality of 3D point clouds being a corresponding 3D point cloud of a respective GPS position from the plurality of GPS positions; generating plurality of road parts based on the plurality of GPS positions; generating a map for each of the plurality of road parts based on at least one 3D point cloud from the plurality of 3D point clouds; and generating the topological road map based on the map for each of the plurality of road parts.

Abstract: Devices, systems, methods, and media are described for adaptive scene augmentation of a point cloud frame for inclusion in a labeled point cloud dataset used for training a machine learned model for a prediction task for point cloud frames, such as object detection or segmentation. A formal method is described for generating new point cloud frames based on pre-existing annotated large-scale labeled point cloud frames included in a point cloud dataset to generate new, augmented point cloud frames. A policy is generated for large-scale data augmentation using detailed quantitative metrics such as confusion matrices. The policy is a detailed and stepwise set of rules, procedures, and/or conditions that may be used to generate augmented data specifically targeted to mitigate the existing inaccuracies in the trained model. The augmented point cloud frames may then be used to further train the model to improve the prediction accuracy of the model.

Abstract: A method for preparing an ordered cross-stacked metal oxide nanowire array is provided. The method includes the following steps: conducting synthesis by using an amphiphilic diblock copolymer as a structure directing agent, tetrahydrofuran (THF) as a solvent and polyoxometalates (POMs) as an inorganic precursor, where the diblock copolymer can interact with POMs via an electrostatic force to form a core-shell cylindrical micelle in the solvent, which self-assembles to form an ordered multilayer-crossed organic-inorganic composite nanostructure during an evaporation process; the template is removed by calcination in air, thereby obtaining ordered and crossed metal oxide nanowires with various elements doping. The nanowire array material has a high specific surface area, a high crystallinity, and realizes uniform doping of heteroatoms.

Abstract: A method and system for localization of an autonomous vehicle in real-time disclosed. A particle filter process is used to generate an estimate of a pose of the autonomous vehicle based on a three-dimensional point cloud, a two-dimensional (2D) feature map and odometry data. A location of the autonomous vehicle in the environment is generated comprising a final pose of the vehicle determined based on the estimate of the pose of the autonomous vehicle and the odometry data, an elevation of the autonomous vehicle generated based on the final pose of the autonomous vehicle and the 2D feature map, and an orientation of the autonomous vehicle generated based on the odometry data.

Abstract: A boiler for co-firing municipal solid waste and short timber for cultivating fungus includes a boiler chamber and fire grate, where the boiler chamber comprises a furnace, a reburning chamber and a third flue, a front arch and a rear arch are arranged on a lower portion of the furnace and located above the fire grate, and a short timber for cultivating fungus feeding device is arranged on a lower portion of a front wall of the furnace. The short timber for cultivating fungus feeding device includes a star-shaped feeding machine and a hopper, a skin expansion joint is arranged between the star-shaped feeding machine and the hopper, and an air pipe is arranged on the hopper. A layer of a plurality of boiler internal desulfurization desulfurization nozzles and two layers of a plurality of Polymer Non-Catalytic Reduction denitration nozzles are arranged in a height direction of the furnace.

Abstract: A system and method for processing a 3D point cloud to generate a segmented point cloud in real time are disclosed, the method includes: receiving a sparse 3D point cloud captured by a detection and ranging sensor mounted to a vehicle, the 3D point cloud comprising a plurality of data points, each data point in the 3D point cloud having a set of coordinates in a coordinate system of the detection and ranging sensor; generating, from the 3D point cloud, a range map comprising a plurality of elements, each of the plurality of data points of the 3D point cloud occupying a respective element of the plurality of elements; labelling the data point in each respective element of the range map as one of a pole-like data point or a vertical-plane-like data point; and generating the segmented point cloud including one or more of the labeled data points.

Abstract: A system and method for localization of an autonomous vehicle based on 3D point cloud are disclosed. The system includes a processor and a memory coupled to the processor, the memory tangibly storing thereon executable instructions that, when executed by the processor, cause the processor to: receive an initial position of a vehicle; receive a data file representative of a three-dimensional (3D) point cloud from a LIDAR scanning subsystem of the vehicle; divide the 3D point cloud into a plurality of tiles and compute a plurality of key points for each tile; generate an estimated low frequency 2D position and yaw angle for the vehicle based on a particle filter process and a dynamically downloaded 2D reference map; and generate a position and orientation of the vehicle.

Abstract: A luminescent material, a light emitting device, and a display device are disclosed. The luminescent material includes particles and a phosphor. The particles include quantum dots and have an average diameter of 0.06 ?m to 30 ?m.

Abstract: Introduced here are electronic stethoscope systems designed to simultaneously monitor sounds originating from within a body under examination and the ambient environment. An electronic stethoscope system can include one or more input units that are connected to a hub unit. Each input unit may have at least one auscultation microphone and at least one ambient microphone. To improve the quality of sound recorded by an input unit, a processor can apply a noise cancellation algorithm that considers as input the audio data produced by the auscultation microphone(s) and the audio data produced by the ambient microphone(s). The audio data may be digitized directly in the input unit, and then transmitted to the hub unit for synchronization. For example, by examining the audio data produced by the ambient microphone(s), the processor may discover which digital artifacts, if any, should be filtered from the audio data produced by the auscultation microphone(s).

Abstract: A grating- and fiber-coupled multi-beam coherent receiving system in a mid- and far-infrared band includes a mid- and far-infrared local oscillator signal source, a phase grating, a multi-beam fiber coupling system, a 2×2 pixel mid- and far-infrared superconducting HEB mixer, a multi-channel DC bias source, a multi-channel cryogenic low-noise amplifier, and a room-temperature intermediate-frequency and high-resolution spectrum processing unit. In a 2×2 multi-beam superconducting receiving system, an echelle grating and a cryogenic optical fiber are used to distribute and couple the local oscillator signal, and the mid- and far-infrared band high-sensitivity superconducting HEB mixer is used to realize efficient local oscillator signal distribution and coupling, and ultimately achieve high-sensitivity and high-resolution multi-beam spectrum reception in the mid- and far-infrared band.

Abstract: A grating- and fiber-coupled multi-beam coherent receiving system in a mid- and far-infrared band includes a mid- and far-infrared local oscillator signal source, a phase grating, a multi-beam fiber coupling system, a 2×2 pixel mid- and far-infrared superconducting HEB mixer, a multi-channel DC bias source, a multi-channel cryogenic low-noise amplifier, and a room-temperature intermediate-frequency and high-resolution spectrum processing unit. In a 2×2 multi-beam superconducting receiving system, an echelle grating and a cryogenic optical fiber are used to distribute and couple the local oscillator signal, and the mid- and far-infrared band high-sensitivity superconducting HEB mixer is used to realize efficient local oscillator signal distribution and coupling, and ultimately achieve high-sensitivity and high-resolution multi-beam spectrum reception in the mid- and far-infrared band.

Abstract: Introduced here are electronic stethoscope systems designed to simultaneously monitor sounds originating from within a body under examination and the ambient environment. An electronic stethoscope system can include one or more input units that are connected to a hub unit. Each input unit may have at least one auscultation microphone and at least one ambient microphone. To improve the quality of sound recorded by an input unit, a processor can apply a noise cancellation algorithm that considers as input the audio data produced by the auscultation microphone(s) and the audio data produced by the ambient microphone(s). The audio data may be digitized directly in the input unit, and then transmitted to the hub unit for synchronization. For example, by examining the audio data produced by the ambient microphone(s), the processor may discover which digital artifacts, if any, should be filtered from the audio data produced by the auscultation microphone(s).

Abstract: A method for operating a server system. The method includes: receiving, by the server system, a request for a plurality of assets in a first format to fill an ad unit, in an application executing on a mobile device, with a native advertisement; receiving, by the server system and from an ad source over a network, ad content in a second format; converting, by a converter of the server system, the ad content in the second format to the plurality of assets in the first format; and sending, by the server system, the plurality of assets to the application, where the application fills the ad unit with the native advertisement including at least one of the plurality of assets.

Abstract: A system and method to determine a location of a device in a wireless local area network (LAN) based on positioning assistance data acquired from a server is disclosed. The host-offload wireless LAN device may determine a location based on the location computations done inside the wireless LAN module. The device includes a storage medium configured to provide a database of positioning assistance data, a wireless LAN module configured to receive beacon signals broadcast from one or more access points, and a processor configured to store the access point identification information and the signal strength detected by the wireless LAN module in a first memory section, access the previously-stored positioning assistance data from the storage medium, assemble positioning assistance data based on a comparison, store the assembled positioning assistance data in a second memory section, and determine a location of wireless LAN device using assembled positioning assistance data.