Abstract: An intumescent fire-retardant and anti-corrosive coating modified by polyaniline-silicon carbide and a preparation method thereof are provided, the coating includes a compound A and a compound B. The compound A includes a waterborne epoxy resin emulsion, polyaniline-silicon carbide composite material, fire-retardant filler, titanium dioxide, aluminum hydroxide, talc powder, a wetting dispersant, a defoaming agent, a flow agent and water, the compound B includes an epoxy hardener. The polyaniline-silicon carbide composite material is prepared from silicon carbide, phenylamine, protonic acid and an oxidizing agent through an ice bath. The polyaniline-silicon carbide composite material can enhance dispersion in the emulsion through the organic-inorganic composite, and silicon carbide has high thermal stability and good density, while polyaniline serves as a material with unique fire-retardant properties.

Abstract: A semiconductive composite material comprising a non-polar organic polymer, a polar organic copolymer, and an electrical conducting effective amount of an ultra-low-wettability carbon black. Also a method of making the composite material; a crosslinked polyethylene product made by curing the composite material; manufactured articles comprising a shaped form of the inventive composite material or product; and methods of using the inventive composite material, product, or articles.

Abstract: A computer-implemented method for generating an artificial data set is provided. Aspects include obtaining an input data set, calculating an association between the plurality of categorical variables of the input data set, and creating, based on the association, a plurality of clusters of categorical variables. Aspects also include identifying a key variable for each of the plurality of clusters of categorical variables, creating a key cluster for each of the plurality of clusters, and creating a cluster contingency table for each of the clusters. Aspects further include generating, based on the cluster contingency table for each of the plurality of clusters and for the key cluster, a data set for each of the plurality of clusters and the key cluster and generating the artificial data set based on a combination of the data set for each of the plurality of clusters and the key cluster.

Abstract: A three-dimensional structured light camera device includes a LUT memory configured to store a reference speckle image of a 3D target object and a processor. The processor is configured to perform object detection on a target speckle image, perform sub-pixel-level (SPL) processing that includes a plurality of interpolations of the reference speckle image and the target speckle image, perform an adaptive binarization process wherein the adaptive binarization process searches the LUT memory for SPL speckle features of the stored reference speckle image that match SPL speckle features of the SPL target speckle image, find SPL speckle features of the target speckle image that match searched SPL speckle features of the stored reference speckle image, and perform a depth value calculation of the 3D target object in response to the plurality of interpolations and the found SPL speckle features of the target SPL speckle image.

Abstract: A three-dimensional structured light camera device includes a LUT memory and a processor configured to perform object detection and identify a 3D object area of interest of a target speckle image and perform a local adaptive binarization process that searches the LUT memory for speckle features of a stored reference speckle image and matches speckle features of the target speckle image with the searched speckle features of the reference speckle image. In some examples, the processor may perform a morphological operation on matched speckle features of the target speckle image that generates a noise-reduced target speckle image; and perform binary encoding compression. A depth value calculation of the 3D target object is performed in response to the binary encoding compression performed on the noise-reduced target speckle image. In this manner, speckle matching can be accelerated with a lower number of calculations.

Abstract: Targeted recommendations may be provided to specific user segments. The users may be segmented on or more user parameters that facilitate targeted provision of recommendations to the individual segments of users. A recommendation may prompt a user to take a recommended action in the game.

Abstract: Systems, computer program products and/or computer-implemented methods described herein relate to a process to optimize performance of an operating neural network. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components, which can comprise an identification component that, employing an operating, multi-layered virtual computation module of looped neurons, identifies a first neuron of a first cluster of a first layer of the looped neurons as being an outlier neuron, an adjustment component that reassigns the outlier neuron from the first cluster to a second cluster of the first layer, and a scheduling component that, based on a dependency among layers of the multi-layered virtual computation module, including the first layer, adjusts a cross-layer functionality of the looped neurons for a workload currently being performed by the multi-layered virtual computation module.

Abstract: An electrically driven sliding window for vehicle and a vehicle include a window aperture, guide rails, bases, slide blocks, a movable glass unit and an electric drive mechanism, the guide rails are provided on two opposite sides of the window aperture respectively, the slide block includes a base mating portion and a guide rail mating portion, the slide block is slidably mounted on a base via the base mating portion and is mounted on a guide rail via the guide rail mating portion, the movable glass unit is fixed on the bases, and the slide blocks are slidable along the guide rails and are slidable relative to the bases by means of the electric drive mechanism, to drive the bases to perform a sliding movement parallel to a direction of the guide rails and a movement for alignment perpendicular to the direction of the guide rails.

Abstract: Aspects of the disclosure provide for a method of controlling an autonomous vehicle in an autonomous driving mode. For instance, a predicted future trajectory for an object detected in a driving environment of the autonomous vehicle may be received. A routing intent for a planned trajectory for the autonomous vehicle may be received. The predicted future trajectory and the routing intent intersect with one another may be determined. When the predicted future trajectory and the routing intent are determined to intersect with one another, a time gap may be applied to a predicted future state of the object defined in the predicted future trajectory. A planned trajectory may be determined for the autonomous vehicle based on the applied time gap. The autonomous vehicle may be controlled in the autonomous driving mode based on the planned trajectory.

Abstract: Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtain factor(s) relevant to a given resource. The program code determines relationships between the factor(s). Based on parameters comprising the relationships, the program code identifies, from a search space, configuration(s) for resource(s) and configuration(s) for workload(s) in the computing environment. The program code executes, based on a pre-defined policy, a test: a workload configured according to a configuration in a system under test instance configured according to a configuration. The program code obtains performance measurements for the test in the system under test instance. The program code utilizes the performance measurements to update a known data set.

Abstract: In several aspects for generation of high quality synthetic observability data for computing systems, traces and logs from a system are collected as a seed dataset. Multiple conditional variational autoencoder (VAE) models are trained using the seed dataset for learning association between the traces and the logs. Synthetic traces and logs are generated using the multiple CVAE models while retaining the association between the traces and the logs for the synthetic traces and logs.

Abstract: Embodiments described herein provide a diffusion-based framework that is trained on a dataset with limited text labels, to generate a distribution of data samples in the dataset given a specific text description label. Specifically, firstly, unlabeled data is used to train the diffusion model to generate a data distribution of data samples given a specific text description label. Then text-labeled data samples are used to finetune the diffusion model to generate data distribution given a specific text description label, thus enhancing controllability of training.

Abstract: In an approach, a processor selects a top N features for a machine learning (ML) model; discretizes values of each continuous feature of the top N features; generates a set of combination values that each represent a unique combination of feature values in for a data record; predicts, using the ML model, a target value for each record generating predicted target values; groups the predicted target values based on the combination value for each respective record; fits a distribution for each grouping of the predicted target values associated with a respective combination value generating a set of distributions; clusters and refits the set of distributions using a clustering algorithm resulting in a set of clusters and a refitted distribution for each cluster of the set of clusters; and outputs a visualization of the refitted distribution for each cluster as a distribution curve on a graph along with the associated records.

Abstract: Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.

Abstract: Targeted recommendations may be provided to specific user segments. The users may be segmented on or more user parameters that facilitate targeted provision of recommendations to the individual segments of users. A recommendation may prompt a user to take a recommended action in the game.

Abstract: A rotary power tool comprises a drive mechanism including an electric motor and a transmission, a housing enclosing at least a portion of the drive mechanism, a spindle rotatable in response to receiving torque from the drive mechanism, a first ratchet coupled for co-rotation with the spindle, a second ratchet rotationally fixed to the housing, a sleeve bushing supported by the housing, and a bearing rotatably supporting the spindle. The spindle has an outer race. And, the outer race of the bearing moves along the sleeve bushing during reciprocation of the spindle when the first ratchet and second ratchet are engaged.

Abstract: An information handling system stores a list of commands associated with test cases. The system receives the list of commands associated with the test cases, and provides the list of commands to an input layer of a state attributes probability machine learning model. An output layer of the of the state attributes probability machine learning model outputs a state attributes probability. The state attributes probability identifies an overlap of state attributes of test steps in the test cases. Based on the state attributes probability, the system determines whether the test steps of the test cases are in conflict. In response to the test steps not being in conflict, the system merges the test cases. In response to the test steps being in conflict, the system stops a merging of the test cases.

Abstract: An image encoding method according to the present disclosure may include generating an atlas based on a plurality of viewpoint images; encoding the atlas; and encoding metadata for the atlas. In this case, the metadata may include first information showing whether a viewpoint image is a background image.

Abstract: Disclosed herein are sortilin binding agents, including conjugate agents comprising a sortilin binding moiety, directly or indirectly conjugated with a payload moiety, compositions comprising the same as well as methods of making and using the same.