Abstract: The present disclosure relates to the field of image definition recognition, and discloses a logging image definition recognition method and device, medium and electronic equipment. The method comprises: establishing a logging image sample library comprising a plurality of logging images; acquiring actual definition information corresponding to the respective logging images; acquiring a plurality of definitions corresponding to the respective logging images; determining target weights corresponding to the respective target image definition determination algorithms according to the plurality of definitions and the actual definition information corresponding to the respective logging images; and determining a definition of a target logging image by the respective target image definition determination algorithms and the target weights corresponding to the respective target image definition determination algorithms.

Abstract: A method, including: identifying static application features of an application; identifying resource access features of the application; labeling a translation lookaside buffer (TLB) miss threshold of a runtime feature of the application; determining utilization of larger pages during the runtime based on the TLB miss threshold; and setting the TLB miss threshold based on the determined utilization of the larger pages.

Abstract: The present disclosure provides systems and methods for image filtering. The method may include obtaining an initial image block from a reconstructed image; determining at least one candidate image block by performing a filtering operation on the initial image block using at least one trained machine learning model; and determining a target image block based on the at least one candidate image block.

Abstract: A building photovoltaic data interpolation method based on WGAN and whale optimization algorithm is provided, which includes: obtaining historical building roof photovoltaic output data, perform preprocessing on the historical building roof photovoltaic output data, and uses CNN to build a GAN; describing missing value position of preprocessed data by using a binary mask matrix, and setting Wasserstein distance to define a loss function of a GAN generator and a discriminator; taking the loss function as a fitness function, optimizing an input to the GAN generator through a whale optimization algorithm and obtaining optimized candidate samples; fusing the optimized candidate samples and a photovoltaic data processed by the binary mask matrix to obtain completed reconstructed samples, so as to improve the complementary accuracy, optimize the random noise, remove the unfavorable influencing components, and provide services for building rooftop PV data interpolation more accurately.

Abstract: The present disclosure may relate to systems and methods for inter frame prediction of a video. A method may include setting, based on a block to be predicted of an image frame, a search template. The method may also include searching for, based on a search strategy, an optimal search block of the search template in a reference frame of the image frame. The method may further include determining, based on the optimal search block, prediction information of the block to be predicted.

Abstract: Methods, systems, and computer program products for de-duplicating data in executable files in a container image are disclosed. The method may include receiving a request to read a file in a first layer in a container image including a plurality of layers, wherein the file is a delta file which is from an updated executable file based on a base executable file, the base executable file is in a lower layer than the first layer in the container image, and the delta file includes block mappings between the updated executable file and the base executable file and different data between the two files, and blocks included in the two files are based on respective file structure. The method may also include restoring the updated executable file based on the delta file and the base executable file. The method may further include returning data in the updated executable file.

Abstract: A method for preparing an electrode material includes: a) producing a microspherical precursor by way of co-precipitation; b) forming an intermediate product by calcining the precursor with a stoichiometric amount of sodium carbonate, lithium carbonate and a structural stabilizer; and c) performing an ion exchange process to the intermediate product under molten LiNO3/LiCl to form a lumpy residue. An electrode for lithium-ion battery includes an electrode material having a general formula of Li[Li1/3(TMxAly)]O2, and lithium-ion battery comprising an electrode such as a cathode having the above electrode material are also addressed.

Abstract: Methods and systems for metering computing resources in cloud computing environments are disclosed. A method includes: executing, by a computing device, computing tasks on computing resources; determining, by the computing device, an amount of time and an amount of power used in the executing the computing tasks on the computing resources; determining, by the computing device, a number of standard units consumed by the computing tasks based on the determined amount of time and the determined amount of power; and metering, by the computing device, the computing resources based on the determined number of standard units consumed by the computing tasks.

Abstract: An embodiment includes generating a caller list of callers that issue requests for calling a designated program at runtime. The embodiment also includes generating an authorized caller list of authorized callers allowed to call the designated program, wherein the authorized callers are selected from among callers on the caller list. The embodiment also includes generating an authorization key for each of the authorized callers that the designated program will require as a condition for completing call requests.

Abstract: A magnetoresistive random access memory (MRAM) device includes a first array region and a second array region on a substrate, a first magnetic tunneling junction (MTJ) on the first array region, a first top electrode on the first MTJ, a second MTJ on the second array region, and a second top electrode on the second MTJ. Preferably, the first top electrode and the second top electrode include different nitrogen to titanium (N/Ti) ratios.

Abstract: A processor may automatically generate one or more transcripts based on a media context. The processor may append at least one of the one or more transcripts to the media. The processor may modify the at least one of the one or more transcripts based on an adjustment to a weight factor.

Abstract: The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.

Abstract: A video switching method includes the following operations: decoding second video data during a period when a panel is driven to display image content corresponding to first video data to generate frame parameter data and image data; and processing the image data according to the frame parameter data in response to a control command to drive the panel to display image content corresponding to the second video data.

Abstract: Mechanisms are provided for scheduling a workload in a cloud computing system. A cloud affinity factor (CAF) computer model is trained, via a machine learning process based on a training dataset comprising static characteristics of a workload binary for a workload, and dynamic characteristics corresponding to historical performance data for the workload, such that the trained CAF computer model predicts a performance classification for a given workload binary. The trained CAF computer model processes a new workload to generate a performance classification for the new workload. Cloud affinity factor(s) are generated based on the performance classification for the new workload. Node affinity and dispatch rule(s) are applied to the cloud affinity factor(s) to select one or more nodes of the cloud computing system to which to dispatch the workload. The workload is then scheduled on the selected one or more nodes.

Abstract: A semiconductor structure includes a semiconductor on insulator (SOI) substrate, a first electrically conductive structure, and a second electrically conductive structure. The SOI substrate includes a base substrate, a buried insulation layer disposed on the base substrate, a semiconductor layer disposed on the buried insulation layer, and a trap rich layer disposed between the buried insulation layer and the base substrate. At least a part of the first electrically conductive structure and at least a part of the second electrically conductive structure are disposed in the trap rich layer. A part of the trap rich layer is disposed between the first electrically conductive structure and the second electrically conductive structure. The first electrically conductive structure, the second electrically conductive structure, and the trap rich layer disposed between the first electrically conductive structure and the second electrically conductive structure are at least a portion of an anti-fuse structure.

Abstract: In an approach, a processor obtains a configuration file of a distributed file system federation, the configuration file comprising a list of a plurality of subclusters within the distributed file system federation and migration trigger factors for the plurality of subclusters. A processor determines a list of one or more source subclusters and a list of to-be-migrated directories in the one or more source subclusters based on a scanning result of the plurality of subclusters and the migration trigger factors in the configuration file. A processor generates a migration plan to migrate the to-be-migrated directories from the one or more source subclusters to one or more target subclusters in the distributed file system federation.

Abstract: Managing an image storage space is provided. A number of processor units identifies a benchmark image in a similar images group. A number of other images not identified in the similar images group as the benchmark image is a set of similar images. The number of processor units creates an image mapping tree. The image mapping tree has a root block for the benchmark image and blocks arranged in a set of layers below the root block based on the set of similar images; the blocks represent portions of the benchmark image; and a plurality of lower blocks in the blocks in a lower layer correspond to subdivisions in an upper block in the blocks in an upper layer. The number of processor units stores a set of selected blocks in the set of similar images that have differences from a set of corresponding blocks in image mapping tree for the benchmark image.

Abstract: A method and system for controlling elevator dispatch is provided. User data, including user behavior, is collected from a number of users over a specified time period. Elevator use data for a number of elevators in a building is also collected over the specified time period. Applying the user data and elevator use data, an elevator dispatch model is constructed that predicts future elevator use according to predicted user needs. An elevator control system dispatches the elevators according to the dispatch model. The elevator dispatch model is refined according to feedback data collected from users over a subsequent time period.

Abstract: A video is received. One or more subtitles are determined for the video. Whether a word found in a background of the video is similar to a word found in the one or more subtitles is determined. Responsive to determining the word found in the background of the video is similar to the word found in the one or more subtitles, one or more updated subtitles are generated. The one or more updated subtitles include the word found in the background of the video and remove the word found in the one or more subtitles that is similar. A metric for the one or more updated subtitles is calculated. Whether the metric is larger than a threshold is determined. Responsive to determining the metric is larger than the threshold, the video is updated to include the one or more updated subtitles.

Abstract: Managing an image storage space is provided. A number of processor units identifies a benchmark image in a similar images group. A number of other images not identified in the similar images group as the benchmark image is a set of similar images. The number of processor units creates an image mapping tree. The image mapping tree has a root block for the benchmark image and blocks arranged in a set of layers below the root block based on the set of similar images; the blocks represent portions of the benchmark image; and a plurality of lower blocks in the blocks in a lower layer correspond to subdivisions in an upper block in the blocks in an upper layer. The number of processor units stores a set of selected blocks in the set of similar images that have differences from a set of corresponding blocks in image mapping tree for the benchmark image.