Abstract: The present disclosure provides a sorting scheduling method, apparatus and matrix sorting system in the field of warehousing and logistics technology, wherein the matrix sorting system includes multiple branch lines and multiple ring sorters, each branch line spans multiple ring sorters, each ring sorter is spanned by multiple branch lines, each branch line is provided with multiple sorting stations at each ring sorter, each said branch line is used to convey a stock box to the corresponding sorting station, and the sorted goods to be packaged at said sorting station flow on the corresponding ring sorter. The present disclosure adopts the matrix sorting form, and the order quantity completed by a sorting station can be increased dozens of times compared to the existing sorting station layout, which alleviates the problem of conveyor line blockage and realizes large-scale sorting operations.

Abstract: Provided in the present disclosure is a method for measuring alkalinity of water sample, including following steps: step 1: constructing a mathematical model correlating the alkalinity of a water body with a water body electrical signal variation value; step 2: bringing a water sample into contact with an acidic material to cause a change in a water sample electrical signal value, collecting the water sample electrical signal value before and after the water sample is brought into contact with the acidic material, and constructing a water sample electrical signal variation value; and step 3: deriving the alkalinity of the water sample by substituting the water sample electrical signal variation value into the water body electrical signal variation value in the mathematical model. The above method does not involve using titrant and prior calibration operation, which does not require high-level hardware equipment.

Abstract: Implementations of the disclosure provide a video decoding apparatus and method for transform coefficient sign prediction on a video decoder side. The method may include selecting a set of candidate transform coefficients from dequantized transform coefficients. The method may include applying a template-based hypothesis generation scheme to select a hypothesis from a plurality of candidate hypotheses for the set of candidate transform coefficients. The method may include determining a combination of sign candidates associated with the selected hypothesis to be a set of predicted signs for the set of candidate transform coefficients. The method may include estimating original signs for the set of candidate transform coefficients based on the set of predicted signs and a sequence of sign signaling bits received from a video encoder. The method may include updating the dequantized transform coefficients based on the estimated original signs for the set of candidate transform coefficients.

Abstract: The present disclosure provides an array substrate and a display device. The array substrate includes: a plurality of gate lines extending in a first direction, and a plurality of data lines extending in a second direction and crossing the gate lines to define a plurality of sub-pixels; a plurality of touch signal lines extending in the second direction and arranged in light shielding regions of the sub-pixels; a plurality of touch electrodes insulated from each other; and a plurality of metal pattern units corresponding to the sub-pixels respectively and arranged in the light shielding region of each sub-pixel. The metal pattern unit includes a first metal strip arranged on at least one side of the data line and extending in the second direction.

Abstract: An ASIC chip for performing active battery equalization is provided. The ASIC chip for performing active battery equalization includes: a power conversion module, an equalization switch matrix circuit module comprising a power MOS transistor, a switch control module, a temperature protection module, and a communication interface module. By connecting and controlling the above modules, the equalization switch matrix circuit module performs equalization on a battery in the battery pack. That is, the use of the integrated ASIC chip accelerates and facilitates the BMS solution manufacturers adding the active equalization function, and facilitates the BMS Battery management system effectively improving the service performance and life of lithium batteries.

Abstract: A method for calculating a terminal voltage of a lithium battery based on an electrochemical model, an apparatus, and a medium are provided. The method includes: constructing the electrochemical model of the lithium battery, and dividing the lithium-ion battery into three domains comprising an anode domain, a separator domain, and a cathode domain; numerically simulating the electrochemical model in the three domains respectively using the Chebyshev spectral method, and respectively obtaining distribution data of a liquid-phase potential, overpotential, and open-circuit voltage of the anode and the cathode; obtaining solid-phase potential distribution data of the anode and the cathode, based on discrete data of the liquid-phase potential, overpotential, and open-circuit voltage of the anode and the cathode; and obtaining the terminal voltage of the lithium battery based on the solid-phase potential distribution data of the anode and cathode.

Abstract: The present disclosure provides an effect application previewing method, an apparatus, a device and a storage medium. The method includes: taking, in response to a preview trigger operation for a target effect style, a position of a pointer on a video track as a start point, to generate a virtual video frame for the target effect style; synchronously playing the virtual video frame and at least one video clip corresponding to the virtual video frame on the video track based on a timeline, to preview an effect of the target effect style applied to the at least one video clip.

Abstract: A data processing module for aligning entities between a first knowledge graph (KG1) and a second knowledge graph (KG2) includes an encoder to embed each entity node of KG1 and KG2 to generate a basic entity representation of each knowledge graph. An aggregator generates a relation representation of each knowledge graph using a first graph attention mechanism; generates an entity embedding including the relation representation using a second graph attention mechanism; concatenates the entity embedding including the relation representation with the basic entity representation to generate a relation-aware entity representation of each knowledge graph; and generates an enhanced entity representation of each knowledge graph comprising a single vector for each embedded entity node using a third graph attention mechanism. A comparator compares each node of the enhanced entity representation of KG1 with each node of the enhanced entity representation of KG2 to generate a similarity matrix between KG1 and KG2.

Abstract: Query processing using online transactional processing (OLTP) and/or online analytical processing (OLAP) use a distributed graph. Optimizations are described including compute pushdown OLTP mode, single thread OLTP mode, and automatic transition between OLTP mode and OLAP mode. A query processing engine comprises an OLTP processing engine, an OLAP processing engine, and a storage (e.g., a computer memory or storage). The OLTP processing engine is configured to process OLTP queries, and the OLAP processing engine is configured to process OLAP queries. The query processing engine may comprise a transition determination engine configured to determine when to transition query processing between OLTP query processing mode and OLAP query processing mode.

Abstract: A method, computer system, and a computer program product for enhancing deployed machine learning (ML) models using prompt learning is provided. The present invention may include receiving an input for a prediction task using a first ML model. The present invention may also include adding a feature to the received input using a second ML model, where the added feature is recognized by the first ML model. The present invention may further include predicting, using the first ML model, an output for the received input based on the added feature, wherein the predicted output by the first ML model based on the added feature includes an improved accuracy relative to another predicted output by the first ML model without considering the added feature.

Abstract: A tracking area selection method, a device, and a system are provided. The method includes: a mobility management network element initiates an authentication and authorization procedure for a network slice on which authentication and authorization are to be performed and that is in a network slice requested by a terminal; determines, based on a result of the authentication and authorization procedure, identification information of a network slice that the terminal is allowed to access; obtains, based on first information and the identification information of the network slice that the terminal is allowed to access, identification information of a target network slice and radio resource information corresponding to the target network slice; and sends the identification information of the target network slice and the radio resource information corresponding to the target network slice to an access network device.

Abstract: Methods and apparatuses are described for predicting user attributes using uncertainty estimate modeling. A server trains a plurality of machine learning (ML) models to predict a distribution of values for a plurality of user attributes. The server determines an uncertainty measure of the ML models for each user attribute based upon the predicted distribution of values. The server receives a request for prediction of user attributes from a client device and generates for each user attribute a first predicted distribution using one or more of the trained models. The server classifies, for each user attribute, an accuracy of the first predicted distribution based upon the uncertainty measure and provides the first predicted distribution and the accuracy for each user attribute to the client device for presentation. The server updates the first predicted value for the user attributes based upon input received from the client computing device.

Abstract: A screen module uses a bendable display panel including a first panel layer and a second panel layer. A support layer is located between the first panel layer and the second panel layer. The first panel layer and the second panel layer are connected by a bent region, and a thickness of the support layer close to the bent region is greater than a thickness of a first region of the support layer. A projection of the first region of the support layer on the first panel layer overlaps with a projection of a display driver chip on the first panel layer. After being stacked, the thickness of the screen module may be reduced to meet the user's requirement for a small thickness of an electronic device.

Abstract: Methods and apparatuses for power headroom report are disclosed. In one embodiment, a method comprises determining one or two PH values when power headroom report triggering condition is satisfied for a serving cell configured with two SRS resource sets used both for codebook based UL transmission or both for non-codebook based UL transmission; and transmitting the determined one or two PH values for the serving cell in one PHR MAC CE.

Abstract: The present application relates to method and apparatus for fallback operation for semi-static HARQ-ACK codebook determination. One embodiment of the present disclosure provides an apparatus comprising: a receiver that receives at least one down-link (DL) transmission within a DL association set; a processor that determines whether to use a fallback hybrid automatic repeat request acknowledgement (HARQ-ACK) transmission; and a transmitter that transmits a first HARQ-ACK codebook on a first resource for the DL association set in response to the fallback HARQ-ACK transmission being used or a second HARQ-ACK codebook on a second resource for the DL association set in response to the fallback HARQ-ACK transmission not being used.

Abstract: The present application provides a method, apparatus, electronic device and computer storage medium for assigning goods, and the method includes: obtaining historical order information and forward-looking order information; balancedly assigning each of the goods to a fixed location at each sorting station based on a historical order line quantity of each of the goods in the historical order information; determining a forward-looking order line quantity of the goods in the fixed locations at each of the sorting stations based on the forward-looking order information and the goods information in the fixed locations; and determining the goods to be assigned to motorized locations of each the sorting station based on the forward-looking order line quantity of the goods in the fixed locations at each of the sorting stations. Thus, the problem of uneven workload among operators at different sorting stations is solved, which leads to overall low operational efficiency.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may be configured with a first configuration that the UE is to use for semi-persistent scheduling transmissions when availability of one or more uplink symbols in which the feedback is scheduled for transmission to a base station changes (e.g., due to a slot format change). The UE may be configured to defer transmission of the feedback until a subsequent uplink resource. The UE may receive, from the base station, an indication of a second configuration that the UE is to use for the semi-persistent scheduling transmissions when availability of one or more uplink symbols in which the feedback is scheduled for transmission to a base station changes. The UE may not defer transmission based on the second configuration.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support hardware-based photographic and videographic effects. In a first aspect, a method of image processing includes receiving, by an image signal processor, first image data; and determining an output image frame based on the first image data by applying a photographic effect to a first image frame of the first image data in the image signal processor. Other aspects and features are also claimed and described.

Abstract: An electronic device, a wireless communication method, and a computer readable storage medium are provided. The electronic device comprises a processing circuit configured to: determine whether uplink transmission of an IAB node satisfies a long-term congestion condition; when it is determined that the long-term congestion condition is satisfied, send an offloading request to an IAB donor node; and perform data offloading of an egress link of the uplink transmission of the IAB node according to offloading license information from the IAB donor node. According to at least one aspect of the embodiments of the present disclosure, when the uplink transmission of the IAB node satisfies the long-term congestion condition, the data offloading of the egress link of the uplink transmission of the IAB node can be performed, so as to improve the backhaul capability of the IAB node, thereby solving the long-term congestion problem of the IAB node.

Abstract: Systems, methods, and computer program products may compare machine learning models by identifying data instances with disagreed predictions and learning from the disagreement. Based on a model interpretation technique, differences between the compared machine learning models may be interpreted. Multiple metrics to prioritize meta-features from different perspectives may also be provided.