Abstract: Certain aspects of the present disclosure provide techniques for allocating channel state information (CSI) processing unit (CPU) for user equipment (UE) initiated CSI. For example, the UE may receive an indication from a network entity (e.g., a base station or gNB) configuring the UE with a number of one or more CPUs allowed to be occupied for UE-initiated CSI feedback. The UE uses the at least one of the CPUs to calculate UE-initiated CSI feedback. The UE transmits at least one report including the UE-initiated CSI feedback if one or more conditions are met, such as when a mismatch between a CSI metric for a scheduled physical downlink shared channel (PDSCH) and a CSI metric calculated as part of the UE-initiated CSI feedback is equal to or exceeding a threshold value.

Abstract: A method of wireless communications by a user equipment (UE) includes communicating with a network based on a machine learning model for wireless communication. The method also includes monitoring a status of the machine learning model for wireless communication. The method further includes reporting the status of the machine learning model for wireless communication using a predetermined resource according to a predetermined format. The method also includes falling back to communicating with a fallback procedure, instead of the machine learning model for wireless communication, to maintain wireless communication with the network in response to the status of the machine learning model indicating a model failure.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an aerial user equipment (UE) may measure a first offset associated with a downlink frame based at least in part on a time when a downlink signal is received from a terrestrial base station. The aerial UE may determine a second offset corresponding to a starting time for the downlink frame at the terrestrial base station. The aerial UE may transmit an uplink message in an uplink frame using a timing advance that is based at least in part on a value of the first offset and a value of the second offset relative to a starting time associated with a global navigation satellite system frame duration. Numerous other aspects are described.

Abstract: A user equipment (UE) may report capabilities pertaining to UE feedback processing, such as a number of simultaneous feedback reports that can be processed and reported by the UE for various types of feedback. For example, UE feedback processing capability may depend on channel state information (CSI) processing units (CPUs) available to the UE for feedback processing operations (e. g., for performing channel measurements, processing feedback, generating a feedback report, etc.). A UE may report feedback processing capability separately for periodic feedback reporting and for aperiodic feedback reporting, for different types of feedback reporting (e. g., for CSI reporting, for beam management reporting, etc.), etc. As such, a UE may more efficiently report capabilities pertaining to UE feedback processing, and a base station may more efficiently configure UE feedback reporting according to UE feedback processing capability.

Abstract: Methods, systems, and devices for wireless communications are described. In some systems, devices use machine learning (ML) models to support wireless communications. For example, a user equipment (UE) may download ML model information from a network to determine an ML model. The network may additionally configure a status reporting procedure, a fallback procedure, or both for the ML model. In some examples, based on a configuration, the UE may transmit a status report to a base station according to a reporting periodicity, a UE-based trigger, a network-based trigger, or some combination thereof. Additionally or alternatively, the UE may determine to fallback from operating using the ML model to operating in a second mode based on a fallback trigger. In some examples, to restore operating using a downloaded ML model, the UE may download an updated ML model or receive iterative updates to a previously downloaded ML model.

Abstract: Certain aspects of the present disclosure provide techniques for channel state information (CSI) for multiple transmission reception point (multi-TRP) transmission such as non-coherent joint transmission (NCJT), including determining subband sizes for CSI and rules for Part II CSI omission. A method that can be performed by a user equipment (UE) includes receiving a CSI report configuration. The CSI report configuration associated with one or more CSI reference signal (RS) resources, each CSI resource including a set of ports or port groups. The UE selects one or more CSI-RS resources for which to report CSI and determines a subband size for sending a CSI report based, at least in part, on payload of the CSI report. In an example method, the UE can determine whether the UE has sufficient resources for the CSI report and omit at least a portion of the CSI based on the determination.

Abstract: A configuration for reporting OOD samples for neural network optimization. The apparatus receives, from a base station, a configuration to report an OOD dataset for a machine learning model. The apparatus detects an occurrence of one or more OOD events. The apparatus reports the OOD dataset comprising the one or more OOD events based on the configuration to report OOD dataset. The apparatus receives, from the base station, an update to the machine learning model. The OOD dataset may comprise raw data related to the one or more OOD events, or may comprise extracted latent data corresponding to features of raw data related to the one or more OOD events.

Abstract: A method for determining a correction relating to a performance metric of a semiconductor manufacturing process, the method including: obtaining a set of pre-process metrology data; processing the set of pre-process metrology data by decomposing the pre-process metrology data into one or more components which: a) correlate to the performance metric; or b) are at least partially correctable by a control process which is part of the semiconductor manufacturing process; and applying a trained model to the processed set of pre-process metrology data to determine the correction for the semiconductor manufacturing process.

Abstract: Methods and apparatus of restriction on linked ePDCCH candidates for ePDCCH soft combining are disclosed. The method includes: receiving, by a receiver, a plurality of Control Resource Set (CORESET) configurations, a plurality of search space set configurations, and a Physical Downlink Control Channel (PDCCH) transmitted with a plurality of repetitions; wherein the plurality of repetitions of the PDCCH are transmitted from a plurality of transmitting-receiving identities, and one CORESET is associated with one search space set; and determining, by a processor, linked monitoring occasions and/or linked candidates for blind detection of the PDCCH with soft combining.

Abstract: The present application provides an audio and video playing system, a playing method and a playing device. The system comprises: a display device; a directional sound output module configured to output a directional sound signal; a tracking element configured to monitor a target visual area and to monitor the target display area on the display screen; and a processor, connected with the directional sound output module and the tracking element respectively, and configured to acquire a first audio and video data to be output in the target display area, display image information of the first audio and video data in the target display area, and output sound information of the first audio and video data to the directional sound output module such that the directional sound output module output a directional sound signal towards the target visual area.

Abstract: Methods and apparatuses for MAC CE based common beam indication are disclosed. In one embodiment, a method comprises receiving a higher layer parameter to enable MAC CE based common beam indication; receiving a common beam indication MAC CE; and determining a common beam according to the common beam indication MAC CE.

Abstract: Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for beam determination, multi-user transmission, and channel state variance information (CSVI) reporting in a holographic multiple input multiple output (MIMO) system.

Abstract: Provided is a method for compensating a displayed picture in a display screen. The display screen includes a plurality of regions, each of the plurality of regions including a plurality of pixels; the method includes: determining transformation matrices corresponding to pixels in the plurality of regions based on texture complexities of pictures to be displayed in the plurality of regions; acquiring compensated grayscales by compensating grayscales of pixel points in the pictures to be displayed in the plurality of regions based on the transformation matrices corresponding to the pixels in the plurality of regions.

Abstract: Embodiments of the present disclosure relate to automated validation of medical data. Some embodiments of the present disclosure provide a method for medical data validation. The method comprises obtaining target medical data generated in a medical test and obtaining a machine learning model for validating medical data. The machine learning model represents an association between the medical data and validation results, the validation results indicating information about predetermined actions to be performed on the medical data. The method further comprises determining a target validation result for the target medical data by applying the target medical data to the machine learning model, the target validation result indicating information about a target action selected from the predetermined actions to be performed on the target medical data. Through the solution, it is possible to achieve automated medical data validation with high accuracy and efficiency as well as reduced manual efforts.

Abstract: Apparatuses, methods, and systems are disclosed for downlink control information having a transmission configuration indicator bitmap. One method (400) includes transmitting (402) downlink control information with a transmission configuration indicator, spatial information, or a combination thereof and a transmission configuration indicator bitmap field. Each bit in the transmission configuration indicator bitmap field indicates whether the transmission configuration indicator, the spatial information, or the combination thereof applies to a channel or resource group.

Abstract: The present disclosure provides a method for interconnecting a data lake and a relational database, including the following steps: S1: adding a data source class of a relational database to a data lake; S2: matching and using, by the data lake, a data source class of the relational database; and S3: determining and loading a corresponding driver according to the data source class, so as to connect the corresponding relational database. By cascading a data source registering configuration file, a relational database configuration file and a driver package catalog in a parameter passing method, when the data lake is started, a specific database to be used is designated unnecessarily, but a corresponding database is used directly. The configuration file is also traversed unnecessarily, but the user acquires configuration information as required in the parameter passing method.

Abstract: The present disclosure provides an image compression method, including steps of: acquiring a human-eye fixation point on an original image, and determining a fixation region and a non-fixation region of the original image according to the human-eye fixation point; and compressing the non-fixation region, and generating a compressed image according to the fixation region and the compressed non-fixation region. The present disclosure also provides an image display method, an image compression apparatus, an image display apparatus, and a computer readable medium.

Abstract: A backlight adjusting method of display device, a backlight adjusting device and a display device are provided, where the display device includes a display panel and a backlight element, the display panel is divided into a plurality of display subareas, the backlight element includes a plurality of backlight subareas, the display subareas and the backlight subareas are in a one-to-one correspondence, the method includes: for each of the backlight subareas, calculating an initial backlight value of the backlight subarea according to pixel information of the display subarea corresponding to the backlight subarea; and determining a first correction backlight value of the backlight subarea according to a preset backlight threshold and an initial backlight value of each of the other backlight subareas adjacent to the backlight subarea.

Abstract: Embodiments of the present disclosure relate to method and system for diagnostic analyzing. Some embodiments of the present disclosure provide a diagnostic analyzing system. The diagnostic analyzing system comprises one or more analyzer instruments and a monitoring system, e.g. a quality control monitoring system. The one or more analyzer instruments designed for providing an analytical testing result, which is to be validated by the monitoring system using a validation algorithm. Moreover, the monitoring system may re-train the validation algorithm when a difference level between a live data set and a first training data set is greater than a threshold. Through the solution, it is possible to improve the accuracy of the validation algorithm.

Abstract: The present invention relates to a water-based coating composition, the preparation and use of the composition, a two-component coating system comprising the composition and use thereof, and an article obtained by coating with the composition or the two-component coating system. The water-based coating composition comprises a water-based UV resin; a silane-treated nanosized silicon oxide compound; and a photoinitiator; wherein per kilogram of the solid constituent of the water-based UV resin contains not less than 3 mol of ethylenically unsaturated groups, and wherein the weight ratio of the solid constituent of the nanosized silicon oxide compound to the solid constituent of the water-based UV resin is 11:20 to 73:100. The coating layer formed by the water-based coating composition of the present invention has high hardness and good adhesion, and is particularly suitable for electronic, electrical and communication equipment in the 5G field.