Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media to capture images. A method of processing image data includes determining a first region of interest (ROI) in an image. The first ROI is associated with a first object. The method can include determining one or more image characteristics of the first ROI. The method can further include determining whether to perform an upsampling process on image data in the first ROI based on the one or more image characteristics of the first ROI.

Abstract: In a management method and system for a shared radio unit and a computer-readable storage medium, N user groups are created for N operators, where N is a positive integer greater than 1; resources of the shared radio unit are divided into public resources and N private resources; the N user groups and the N private resources are bound correspondingly, and the N user groups are set to only have access to corresponding private resources bound in the N private resources; resource permissions of the shared radio unit are initialized, and account passwords configured for the N user groups are sent to the corresponding N operators respectively; and the N operators configures parameters to a data model language database according to the account passwords.

Abstract: Virtual machine management is provided. A virtual machine is started automatically based on a custom resource definition of the virtual machine in response to the receiving the custom resource definition of the virtual machine. A container is generated to run an application workload in the virtual machine based on a container configuration file in response to the virtual machine starting. The application workload is deployed on the container automatically based on a container image corresponding to the container. The application workload is run on the container automatically in accordance with a definition of the application workload.

Abstract: The disclosure relates to an enzymatic preparation method of inclusion complexes of tributyrin, and belongs to the technical field of oil microencapsulation. The disclosure combines enzymatic synthesis of cyclodextrin and inclusion of tributyrin with cyclodextrin, including enzymatic preparation of cyclodextrin with a CGT enzyme. Tributyrin is added in the preparation process; after reaction, Tween is added, and homogenization and spray drying are carried out. The effect of the finally obtained tributyrin powder is much better than that of single inclusion of tributyrin with cyclodextrin. The disclosure is simple in process, low in cost and convenient in operation; reaction processes are free of toxicity and pollution; there are no toxic reagent residues; the inclusion effect is obvious, and better utilization of a nutritional additive tributyrin in actual production is facilitated.

Abstract: Disclosed is a high-precision dynamic real-time 360-degree omnidirectional point cloud acquisition method based on fringe projection. The method comprises: firstly, by means of the fringe projection technology based on a stereoscopic phase unwrapping method, and with the assistance of an adaptive dynamic depth constraint mechanism, acquiring high-precision three-dimensional (3D) data of an object in real time without any additional auxiliary fringe pattern; and then, after a two-dimensional (2D) matching points optimized by the means of corresponding 3D information is rapidly acquired, by means of a two-thread parallel mechanism, carrying out coarse registration based on Simultaneous Localization and Mapping (SLAM) technology and fine registration based on Iterative Closest Point (ICP) technology.

Abstract: An image object classification method and system are disclosed. The method is executed by a processor coupled to a memory. The method includes: providing an image file including at least one image object, performing a process of extracting multiple binary-classified characteristics on the image object to obtain a plurality of first results independent of each other in categories, combining the plurality of first results in a manner of dimensionality reduction based on concatenation, performing a process of characteristics abstraction on the combined first results to obtain a second result, and performing a process of characteristics integration on the plurality of first results and the second result in a manner of dot product of matrices to obtain a classification result.

Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: Methods and systems for using a time-series of spectra to identify endpoint of a multi-step semiconductor fabrication processes such as multi-step deposition and multi-step etch processes. One method includes accessing a virtual carpet (e.g., a machine learning model) that is formed from a time-series of spectra for the multi-step processes collected during a training operation. During production, in-situ time-series of spectra are compared to the virtual carpet as part of end pointing of multi-step fabrication processes.

Abstract: Aspects are provided for dynamic resource sharing between V2V and I2V communications. A wireless device selects resources from a shared resource pool in frequency and time. The shared resource pool is shared for I2V communication and communication over a PC5 interface originating from a User Equipment (UE). The wireless device identifies a first priority level for communication from a set of priority levels for I2V communication and UE originated communication. The set of priority levels may comprise at least one priority level unique to the I2V communication.

Abstract: The present disclosure provides a display assembly and a display device, the display assembly includes: a flexible display panel including a first display area, a second display area and a bending area formed between the first display area and the second display area, a metal resilient member fixedly attached to one side of the flexible display panel, a metal support located on a side, away from the flexible display panel, of the metal resilient member, a first conductive adhesive structure located at the edge of the bending area and connecting the first support part and the metal resilient member, and a second conductive adhesive structure located at the edge of the bending area and connecting the second support part with the metal resilient member, wherein the metal support is fixedly attached to the metal resilient member by an adhesive layer.

Abstract: At least one processor identifies dependency relationships among libraries in a repository of libraries. Using the dependency relationships among libraries, at least one machine learning model can be created that predicts with a confidence value a dependency between a given library and a target library. An L layer tree-like graph can be created, using the dependency relationships among libraries and an application package. L can be configurable. Versions of the libraries to use can be determined by running the at least one machine learning model for each pair of nodes having a dependency relationship in the L layer tree-like graph, the at least one machine learning model identifying the dependency relationship with a confidence value, where pairs of nodes having largest confidence values are selected as the versions of the libraries to use in the application package.

Abstract: Embodiments are directed to deploying a workload on the best/highest performance node. Nodes configured to accommodate a request for a workload are selected. Information is collected on each of the selected nodes and the workload. Predicted response times expected for the workload running on each of the selected nodes are determined. The workload is deployed on a node of the selected nodes, the node having a corresponding predicted response time for the workload, the workload being deployed on the node based at least in part on the corresponding predicted response time.

Abstract: A metrology system may include an optical metrology tool configured to produce an optical metrology output for one or more features on a processed substrate, and a metrology machine learning model that has been trained using a training set of (i) profiles, critical dimensions, and/or contours for a plurality of features, and (ii) optical metrology outputs for the plurality of features. The metrology machine learning model may be configured to: receive the optical metrology output from the optical metrology tool; and output the profile, critical dimension, and/or contour of the one or more features on the processed substrate.

Abstract: An outdoor customer premises equipment (CPE) is disclosed. The out door CPE may include: a main body which includes a printed circuit board (PCB), a heat sink, a heater assembly, a SIM card holder, a radio frequency (RF) cable and a fifth generation (5G) communication module; and an antenna module which is detachably connected to the main body and includes a cable interface connected to the RF cable, where the antenna module is a high-gain antenna module or a low-gain antenna module.

Abstract: Provided are a method and apparatus for evaluating image relative definition, a device and a medium, relating to technologies such as computer vision, deep learning and intelligent medical. A specific implementation solution is: extracting a multi-scale feature of each image in an image set, where the multi-scale feature is used for representing definition features of objects having different sizes in an image; and scoring relative definition of each image in the image set according to the multi-scale feature by using a relative definition scoring model pre-trained, where the purpose for training the relative definition scoring model is to learn a feature related to image definition in the multi-scale feature.

Abstract: User data security is provided. Encrypted user data are identified in a virtual machine. A private key of a public/private cryptographic key pair corresponding to a user is retrieved. The encrypted user data is decrypted within the virtual machine utilizing the private key corresponding to the user to form decrypted user data. The encrypted user data are replaced in the virtual machine with the decrypted user data. The decrypted user data is processed in the virtual machine to perform a service in a cloud environment.

Abstract: A modular connector with components that can be economically assembled to provide high signal integrity in a harsh environment. The connector includes an insulative housing bounding a mating interface, a conductive housing engaging a rear of the insulative housing and having tubes extending through the rear of the insulative housing to the mating interface, and lead assemblies disposed in respective tubes. The conductive housing has a channel extending from its top to its front. The insulative housing has a top extension extending beyond its rear, and a locking feature extending from its rear into the channel through the front of the conductive housing. A member is disposed in the channel and has opposite ends disposed in the top extension and locking feature of the insulative housing, respectively. Such a configuration prevents relative movement of components within the connector in a harsh environment and therefore provide more consistent signal paths.

Abstract: Compositions for killing insects (the term “insects” as used herein includes non-insects such as ticks, mites, spiders, centipedes, scorpions, chiggers, and solifugids), said composition containing at least one compound of formula 1 wherein R1 is CH3, C2H5, C3H7; saturated or unsaturated, straight or branched, or halogen substituted alkyl; and wherein R2 are independently H, halogen, nitrogen, oxygen, sulfur, saturated or unsaturated, straight or branched alkyl, alkenyl, alkyl halide, aldehyde, ketone, ether, ester, amine, or amide; optionally methyl benzoate, optionally a surfactant, and optionally a carrier. Also disclosed are methods for killing insects, involving treating an object or area with an insect killing effective amount of the compositions, optionally methyl benzoate, optionally a surfactant, and optionally a carrier.

Abstract: Compositions for killing insects (the term “insects” as used herein includes non-insects such as ticks, mites, spiders, centipedes, scorpions, chiggers, and solifugids), said composition containing at least one compound of formula 1 wherein R1 is CH3, C2H5, C3H7; saturated or unsaturated, straight or branched, or halogen substituted alkyl; and wherein R2 are independently H, halogen, nitrogen, oxygen, sulfur, saturated or unsaturated, straight or branched alkyl, alkenyl, alkyl halide, aldehyde, ketone, ether, ester, amine, or amide; optionally methyl benzoate, optionally a surfactant, and optionally a carrier. Also disclosed are methods for killing insects, involving treating an object or area with an insect killing effective amount of the compositions, optionally methyl benzoate, optionally a surfactant, and optionally a carrier.