Abstract: A method and system for advanced detection and optimization of tunnel resistivity based on depth resolution.

Abstract: A memory device includes a non-volatile memory cells, source regions and drain regions arranged in rows and columns. Respective ones of the columns of drain regions include first drain regions and second drain regions that alternate with each other. Respective ones of first lines electrically connect together the source regions in one of the rows of the source regions and are electrically isolated from the source regions in other rows of the source regions. Respective ones of second lines electrically connect together the first drain regions of one of the columns of drain regions and are electrically isolated from the second drain regions of the one column of drain regions. Respective ones of third lines electrically connect together the second drain regions of one of the columns of drain regions and are electrically isolated from the first drain regions of the one column of drain regions.

Abstract: A computing-in-memory system, a packaging method for a computing-in-memory system, and an apparatus are provided. The computing-in-memory system includes: one or more first sub-chips integrated on a first side of a computing-in-memory chip, each of the one or more first sub-chips including one or more arrays of computing-in-memory cells of the computing-in-memory system, where the one or more arrays of computing-in-memory cells are configured to perform computations on received data; a second sub-chip integrated on a second side, opposite to the first side, of the computing-in-memory chip, the second sub-chip including a peripheral analog circuit IP core and a digital circuit IP core of the computing-in-memory chip; and an interface module configured to communicatively couple the second sub-chip to each of the one or more first sub-chips.

Abstract: A computing-in-memory system is provided, which includes: one or more first chips each integrated with one or more arrays of computing-in-memory cells of the computing-in-memory system that are configured to perform computations on received data; a second chip, on a first side of which a peripheral analog circuit IP core and a digital circuit IP core of the computing-in-memory system are integrated; and an interface module configured to communicatively couple the second chip to each first chip. The interface module includes one or more first sub-interface modules on each first chip and aligned with each other, and one or more second sub-interface modules integrated on a second side, opposite to the first side, of the second chip and aligned with the one or more first sub-interface modules. A communication path between the second chip and each first chip is integrated on the second side of the second chip.

Abstract: A computing-in-memory system, a packaging method for a computing-in-memory system, and an apparatus are provided. The computing-in-memory system includes: one or more first chips each integrated with one or more arrays of computing-in-memory cells of a computing-in-memory chip, where the one or more arrays of computing-in-memory cells are configured to perform computations on received data; a second chip integrated with a peripheral analog circuit IP core and a digital circuit IP core of the computing-in-memory system; a third chip between the one or more first chips and the second chip, the third chip including NAND memory; and an interface module configured to communicatively couple the one or more first chips, the second chip, and the third chip, such that the one or more first chips and the second chip have access to data stored in the NAND memory.

Abstract: An artificial neural network device that utilizes one or more non-volatile memory arrays as the synapses. The synapses are configured to receive inputs and to generate therefrom outputs. Neurons are configured to receive the outputs. The synapses include a plurality of memory cells, wherein each of the memory cells includes spaced apart source and drain regions formed in a semiconductor substrate with a channel region extending there between, a floating gate disposed over and insulated from a first portion of the channel region and a non-floating gate disposed over and insulated from a second portion of the channel region. Each of the plurality of memory cells is configured to store a weight value corresponding to a number of electrons on the floating gate. The plurality of memory cells are configured to multiply the inputs by the stored weight values to generate the outputs.

Abstract: A method and a system for monitoring abnormal state of swines based on edge computing are provided, including a data acquisition and processing module, an edge computing gateway, a cloud server and a client, where the data acquisition and processing module includes a microphone array, a digital signal processing module, a power amplification module, a power supply module and a communication module; the microphone array is used to acquire and store audio data collected in the pigsty; after being processed by the data processing module, the audio data is transmitted to the edge computing gateway through the communication module; the edge computing gateway identifies and locates the abnormal sound in the pigsty, and sends the result to the cloud server; the cloud server stores the data, establishes an early warning model of the swine abnormal state, and sends the early warning information to mobile phone or computer client.

Abstract: Disclosed in the present application are a variable aperture, a camera module and an electronic device, which relate to the field of electronic technology. The variable aperture includes a roller, a rotation bracket, a plurality of blades and a base. The base is annular. The base is sleeved outside the rotation bracket. The roller is located between the base and the rotation bracket and is in rollable connection with the base and the rotation bracket. The multiple blades are annularly distributed on one side of the base and are encircled to form an aperture hole, multiple blades are in rotatable connection with the base and in slidable connection with the rotation bracket.

Abstract: Disclosed are a three-dimensional visual perception method, a model training method and a device. The three-dimensional visual perception method includes: obtaining an image captured by a camera mounted on a movable device; determining, based on a camera parameter corresponding to the image, position information respectively corresponding to at least partial pixels in the image within a camera coordinate system; generating a position encoding feature map based on the position information respectively corresponding to the at least partial pixels; generating a fusion feature map based on the image and the position encoding feature map; and generating, based on the fusion feature map, a three-dimensional visual perception result corresponding to the image by using a three-dimensional visual perception model. According to the embodiments of this disclosure, accuracy and reliability of the three-dimensional visual perception result are well ensured.

Abstract: The disclosure provides a method and system for diagnosing vehicle faults using a knowledge graph. A fault snapshot image can be generated when a fault monitoring module of a vehicle terminal detects a vehicle fault. A cloud server can parse from the fault snapshot image a vehicle information and perform a progressive fault diagnosis in a fault knowledge graph at the cloud server using the vehicle information to determine a target repair suggestion node.

Abstract: The disclosure provides a method and system for diagnosing vehicle faults and system using digital twin. The method can comprise: (S1) collecting a vehicle data of a vehicle; (S2) storing the collected vehicle data in association with respective generation time stamp and sensor identification codes; (S3) performing a preliminary diagnosis of whether the vehicle has a fault based on the collected vehicle sensor data; (S4) performing a digital twin diagnosis of the vehicle fault if the preliminary diagnosis result indicates that the vehicle has a fault; and (S5) generating a visual representation of the fault. In comparison to conventional diagnostic techniques, the real-time digital twin model-based method for diagnosing vehicle faults of the disclosure offers enhanced efficiency, precision, and comprehensive fault detection.

Abstract: The disclosure provides a method for constructing a knowledge graph for vehicle fault diagnosis. The method can comprise creating a database of vehicle components; creating a database of abnormal signals; creating a fault knowledge triple from existing unstructured fault diagnostic data and semi-structured fault diagnostic data; and associating the abnormal signal, the vehicle component and the repair suggestion based on the fault knowledge triples to construct the knowledge graph for vehicle fault diagnosis.

Abstract: A method for generating repair recommendations for vehicles, comprises (S1) collecting a real-time operating data of the vehicle in response to a fault diagnosis request and transmitting the real-time operating data to a cloud server; (S2) the cloud server performing a fault diagnosis on the vehicle based on the real-time operating data to generate a comprehensive fault diagnosis result and a comprehensive repair recommendation; and (S3) the cloud server generating a customized repair plan for the vehicle and transmitting the customized repair plan to a requester of the fault diagnosis request, the customized repair plan comprising the comprehensive fault diagnosis result and the comprehensive repair recommendation. The method of the disclosure takes into account the model, batch and historical fault data of the vehicle, thereby enhancing the accuracy of fault diagnosis, reducing repair time and cost, and improving the efficiency of vehicle repair.

Abstract: The disclosure provides a method for diagnosing vehicle faults based on an environment-adaptive Bayesian network. The method can comprise receiving an input of a faulty symptom of a vehicle into a vehicle fault detection system; selecting an optimal weighted association fault tree model from a library comprising a plurality of weighted association fault tree models, based on the faulty symptom; mapping the optimal weighted association fault tree model to an environment-adaptive Bayesian network; calculating a credibility of each leaf node within the environment-adaptive Bayesian network; and generating a fault ranking and a fault status information based on the credibility of each leaf node within the environment-adaptive Bayesian network, and initiating a multimedia fault alert.

Abstract: A circuit for automatically calculating a speed of a rotor includes: an edge generation module configured to receive Hall signals of three phases, and generate an edge response signal for the Hall signal of each phase; a counting module, which is connected to an output end of the edge generation module, configured to count the time difference between two adjacent jumps of the Hall signal of each phase on the basis of an output signal of the edge generation module to obtain a count value of each phase, output the current count value, and generate a trigger signal when the Hall signal of any phase jumps; and a division module, which is connected to an output terminal of the counting module, configured to divide an angle difference between the two adjacent jumps of the Hall signal by the current count value to obtain a rotation speed of an electric motor.

Abstract: The disclosure provides a method for remotely diagnosing faults in a powertrain of an electric vehicle. The method can comprise collecting real-time data from the powertrain of the electric vehicle; transmitting the real-time data to a cloud platform; ranking a feature importance on the real-time data using a random forest model; optimizing hyperparameters of the random forest model using a simulated annealing algorithm; deploying the optimized random forest model on the cloud platform for real-time fault classification and diagnosis; and using the cloud platform to provide real-time fault alerts and diagnostic reports for the powertrain of the electric vehicle.

Abstract: Embodiments of this application provide a display method for an electronic device with a flexible screen and an electronic device. In a process in which a screen is unfolded or folded, a first animation may be generated and displayed. As an unfolding angle of the screen gradually increases, a size of an interface for displaying content gradually increases, relative positions of elements on the interface gradually increase, and sizes of the elements gradually increase. In addition, as the unfolding angle of the screen gradually decreases, the size of the interface for displaying content gradually decreases.

Abstract: A data sequence prediction method includes calculating, based on historical data sequences of N objects, a similarity distance between every two objects of the N objects, to obtain a similarity distance set, where the similarity distance is used to represent a similarity degree of two objects, the historical data sequence includes a plurality of pieces of data arranged according to a preset rule, and N is a positive integer greater than 1, dividing the N objects into K prediction object classes based on the similarity distance set using a clustering algorithm, where K is a positive integer, and K?N, and predicting a future data sequence of an object included in at least one prediction object class of the K prediction object classes.

Abstract: The disclosure relates to a content processing method and apparatus, a device, and a storage medium. The method includes: showing a target content page to display a multimedia content; determining a content consumption intention on the multimedia content based on browsing information corresponding to the target content page; determining target summary information that adapted to the content consumption intention, where the target summary information is generated at least based on the multimedia content; in response to the content consumption intention being a shallow consumption intention, the target summary information is first summary information; and in response to the content consumption intention being a deep consumption intention, the target summary information is second summary information with a larger information content; and displaying the target summary information on the target content page.