Abstract: Disclosed are systems and methods that automatically classify, filter, and reduce large volumes of feedback data as a function of time using artificial intelligence technology. The aggregated feedback data is reduced by representing the feedback data as sets of descriptors corresponding to one or more time periods that are displayed on a graphical user interface. Feedback data packets are parsed by labeling the feedback data packets with a time period identifier. The feedback data packets are processed utilizing neural network technology to classify the feedback data according to one or more subject identifiers that are each associated with a subject vector. A descriptor analysis is used to process the subject vectors and the feedback data packets to generate descriptor sets comprising one or more descriptors as well as weighting data for each descriptor.

Abstract: A conveying system, comprising: a conveying carrier (3) that is provided with a first connection structure (31); a rolling bed (1) that comprises a rolling bed base (11) and a plurality of rolling components (12), wherein the rolling components (12) are connected to the rolling bed base (11); a driving mechanism comprising a second connection structure (26) and a driving assembly, wherein the driving assembly can drive the second connection structure (26) to reciprocate between a first position and a second position along a conveying direction, the second connection structure (26) at the first position is connected to the first connection structure (31), and the second connection structure (26) at the second position is separated from the first connection structure (31); and a positioning mechanism (4) comprising an X-direction positioning assembly, a Y-direction positioning assembly, and a Z-direction positioning assembly, wherein the Z-direction positioning assembly lifts the conveying carrier (3), so that

Abstract: A method for reviewing sequencing data for identifying microorganisms in a sample is provided. A request to display an analysis of a result set obtained from sequencing nucleic acids from the sample is received. The result set includes sequencing statistics, nucleotide sequences mapped against microorganism reference sequences, and mapping statistics for the mapping of nucleotide sequences to each respective reference sequence. A first customizable diagnostic template is applied to the result set. The customizable diagnostic template specifies a subset of sequencing statistics, a subset of microorganisms, and a subset of mapping statistics. A customizable user interface is displayed comprising a. review' status, a.

Abstract: For each UE (TxUE) in discontinuous reception (DRX) in sidelink (SL) with each second UE(RxUE), and in communication over an air interface (Uu) with a gNB, determining a TxUE Uu active time. Further determining a TxUE Uu offset time accounting for TxUE processing of both a TxUE SL grant from the gNB and data for SL transmission to each RxUE. The TxUE Uu offset time is greater than or equal to a minimum TxUE Uu offset time. Further determining, for each RxUE, one or more RxUE SL active times, each RxUE SL active time: starting no earlier than a start of the TxUE Uu active time plus the TxUE Uu offset time for a TxUE from which the each RxUE is to receive data, and ending no later than the end of the TxUE Uu active time for a TxUE from which the each RxUE is to receive data.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a transmit user equipment (UE) may determine that a channel busy ratio satisfies a channel busy ratio threshold. The transmit UE may reserve, based at least in part on determining that the channel busy ratio satisfies the channel busy ratio threshold, a resource for transmission of a packet with a particular priority to the receive UE, wherein the resource is in a set of resources outside of a sidelink discontinuous reception (DRX) on duration of a receive UE. The transmit UE may transmit the packet using the resource based at least in part on reserving the resource.

Abstract: Wireless communications systems, apparatuses, and methods are provided. A method of wireless communication performed by a first user equipment (UE) may include transmitting, to a network unit, an indication associated with channel occupancy time (COT) sharing on sidelink communication, receiving, from the network unit, a COT indicator, wherein the COT indicator indicates to the first UE to initiate a COT on sidelink communication based on the indication associated with the COT sharing or the COT indicator indicates to the first UE to share the COT on sidelink communication based on the indication associated with the COT sharing on sidelink communication, and transmitting, to a second UE, a communication during the COT on sidelink communication.

Abstract: Methods, systems, and devices for wireless communications are described. A first user equipment (UE) may receive a control signal that indicates one or more parameters for a beam failure reporting procedure. The beam failure reporting procedure may be associated with a multi-path wireless connection for the first UE, which may include a first link between the first UE and a network entity and a second link between the first UE and a second UE. The first UE may monitor, as part of a multi-path beam failure recovery procedure, the first link for one or more signals associated with beam failure detection based on receiving the control signal. The first UE may transmit, via the first link or the second link, one or more messages in accordance with the beam failure reporting procedure based on monitoring. The one or more messages may include information associated with the one or more parameters.

Abstract: A liquid cooling unit includes a first flow divider/combiner, a second flow divider/combiner, a plate heat exchanger, a radiator and a heater. The plate heat exchanger, the radiator and the heater are connected in parallel between a flow dividing end of the flow divider/combiner and a flow combining end of the second flow divider/combiner. The flow dividing end of the first flow divider/combiner outputs a fluid into the plate heat exchanger, the radiator or the heater. The plate heat exchanger and the radiator cool the fluid, and the heater heats the fluid. The flow combining end of the second flow divider/combiner receives the fluid outputted by the plate heat exchanger, the radiator or the heater, and the flow dividing end of the second flow divider/combiner outputs the fluid to a battery for thermal management of the battery. The flow combining end of the first flow divider/combiner receives the fluid.

Abstract: A composition for glass, and aluminosilicate glass, preparation method therefor, and use thereof. In molar percentage, in the composition, the total content of SiO2, B2O3, P2O5, GeO2 and TeO2 is 60˜85 mol %; the total content of Al2O3 and Ga2O3 is 3˜20 mol %; the total content of ZnO and Y2O3 is 0.1˜5 mol %; and the total content of alkaline earth metal oxide is 4˜30 mol %. The glass has a high strain point, a low melting temperature, and a high thermal expansion coefficient, has good toughness, and is suitable for large-scale industrial production.

Abstract: PBCH design may affect timing indication in a wireless network and polar code interleaver design, among other things. Mechanisms may indicate half frame timing though de-modulation reference signal sequence initialization, de-modulation reference signal mapping order, or de-modulation reference signal resource element location.

Abstract: Methods, apparatuses, and computer-readable storage medium for SL communications are provided. An example method may include transmitting, to a second UE, a SL BWP switching request message requesting a switch from a first BWP to a second BWP. The example method may further include receiving, from the second UE, an SL BWP switching decision message confirming the switch from the first BWP to the second BWP. The example method may further include switching from the first BWP to the second BWP upon receiving the SL BWP switching decision message. The example method may further include transmitting, to the second UE, an SL BWP switching confirmation message confirming the switch from the first BWP to the second BWP. The example method may further include reverting back to the first BWP.

Abstract: A dynamic network resource allocation method based on network slicing is provided. A historical resource demand dataset of an accessed network slice is inputted into a first neural network for training. Based on a trained first neural network and the historical resource demand of the accessed network slice, a resource demand prediction information corresponding to the accessed network slice in a first prediction time period is determined. Resources are pre-allocated to the accessed network slice based on the resource demand prediction information, and resources are allocated to the accessed network slice when the first prediction time period arrives. In this way, the service provider can reasonably allocate network resources for network slices without violating the SLA, thus avoiding the waste of network resources.

Abstract: The present application is at least directed to an apparatus on a network including a non-transitory memory including instructions stored thereon for re-establishing a remote radio control (RRC) connection with a base station. The apparatus also includes a processor, operably coupled to the non-transitory memory, capable of executing an instruction of determining a radio link failure has occurred between a first bandwidth part (BWP) of the apparatus tuned to a base station. The processor also executes the instruction of initiating a random access (RA) procedure. The processor also executes the instruction of determining whether a configured contention-based physical random access channel (PRACH) resource overlaps with the first BWP. The process further executes the instruction of transmitting a RA preamble including the configured contention-based PRACH resource to the base station. The processor even further executes the instruction of receiving a RA response from the base station.

Abstract: Certain aspects provide a method for wireless communication by a user equipment (UE). The method generally includes determining one or more sidelink discontinuous reception (DRX) configurations associated with at least a communication on a sidelink, determining a wake up indication configuration associated with the one or more sidelink DRX configurations, monitoring for at least one wake up indication from at least one other UE based on the wake up indication configuration, the at least one wake up indication indicating a sidelink DRX on phase associated with the sidelink DRX configuration, deciding an action for the sidelink DRX on phase based on the at least one wake up indication for the at least one communication on the sidelink, and performing the action in accordance with the decision.

Abstract: A first UE may receive SCI including one or more resource reservations of a second UE based on an indication from a MAC layer to a PHY layer to monitor for the SCI including the one or more resource reservations of the second UE. The indication from the MAC layer to the PHY layer may trigger at least one of a sensing beam, a TCI state, or a spatial relation. The at least one of the sensing beam, the TCI state, or the spatial relation may be associated with monitoring for the SCI including the one or more resource reservations of the second UE. The first UE may transmit a beam to a target UE on one or more resources that are selected based on the one or more resource reservations of the second UE.

Abstract: Mechanisms for multidimensional data modeling and operations and related procedures are described. Resource structures for multidimensional data can be used. This can allow lumped operations such as RESTful operations and procedures on the multidimensional data. A new attribute “SamplingPeriodCovered” can be used to indicate the time interval when the related time series data (or any multi-dimension data streams) are stored. This can reduce the total size of the data stored.

Abstract: Aspects of dynamic and interactive machine learning and feature extraction techniques for performing beam interference management are disclosed. In one aspect, upon entering a coverage area, a UE may transmit a discovery message including one or more machine learning (ML) services for ML service discovery. Based on the ML service discovery, the UE may transmit a session request to establish a data service session between the UE and a network node based on the ML service discovery and other criteria such as extracted features. The network node may receive the ML discovery data and extracted features and aggregate this information with other intelligent network devices to enable the network node to predict a beam blockage during the ML inference data service session. The network node can adapt beam blockage predictions by changing the timing and direction of communications between network entities.

Abstract: Aspects are provided which allow a UE to switch between feature data extraction models in order to provide adaptive feature data of dynamic, potential LOS obstacles for improved beam blockage prediction performance (or other functions) at the network node. Initially, the network node receives first feature data from a UE based on a first data extraction model of the UE. The network node transmits a message instructing the UE to switch from the first data extraction model to a second data extraction model of the UE based on a state of the UE. In response to the message, the UE determines to switch from the first data extraction model to the second data extraction model and transmits, to the network node, second feature data based on the second data extraction model. The network node may then determine a beam blockage prediction in response to the second feature data.

Abstract: An image processing method, an image processing device, an electronic device, and a storage medium are provided. The image processing method includes: obtaining an input image, wherein the input image includes M character rows; performing global correction processing on the input image to obtain an intermediate corrected image; determining the M character row lower boundaries; determining the relative offset of all pixels in the intermediate corrected image according to the M character row lower boundaries, the first image boundary and the second image boundary of the intermediate corrected image; determining the local adjustment offset of all pixels in the intermediate corrected image according to the relative offsets of all pixels in the intermediate corrected image; and performing local adjustment on the intermediate corrected image according to the local adjustment offsets of all pixels in the intermediate corrected image to obtain the target corrected image.