Abstract: A job processing method is provided. In this method, after receiving a to-be-processed job, a scheduling node in a high-performance computing system predicts, based on a category of the job, a quantity of resources consumed in real time in a process of executing the job. Because quantities of resources consumed in real time in a process of executing jobs of a same category are close, compared with a specified resource quantity, a predicted resource quantity is closer to a quantity of resources actually consumed by the job.

Abstract: A display substrate and a display device are provided. The display substrate includes a base substrate and a plurality of sub-pixels on the base substrate. Each sub-pixel includes a pixel circuit and pixel circuits are in columns in a first direction and rows in a second direction. The sub-pixels includes a first sub-pixel and a second sub-pixel which are directly adjacent in the second direction. A first capacitor electrode in the first sub-pixel and a first capacitor electrode in the second sub-pixel are in a same layer and are spaced apart from each other. The display substrate helps can reduce cross talk between signal lines so as to improve a display quality.

Abstract: The present invention relates to a method and system for quantitatively evaluating surface roughness of an organic pore of kerogen in shale. The method includes: making a shale sample; applying a circle of silver-painted conductive tape on the edge of the shale sample to obtain a processed sample; conducting image scanning on the processed sample to obtain a scanned image; determining a kerogen area according to the scanned image; determining an organic pore area according to the kerogen area; carrying out gridding treatment on the organic pore area to obtain multiple grid cells; adopting double integral calculation on each of the grid cells to obtain the areas of the multiple grid cells; summing each of the areas to obtain the surface area of the organic pore; and evaluating surface roughness of the organic pore according to the surface area of the pore.

Abstract: A display substrate and a display device are provided. The display substrate includes a base substrate and a plurality of sub-pixels on the base substrate. Each sub-pixel includes a pixel circuit; pixel circuits are in columns in a first direction and rows in a second direction. The sub-pixels include a first sub-pixel, and the display substrate further includes a first data line extended in the first direction and connected with the first sub-pixel. The sub-pixels further include a second sub-pixel directly adjacent to the first sub-pixel in the second direction. A first capacitor electrode in the first sub-pixel and a first capacitor electrode in the second sub-pixel are in a same layer and are spaced apart from each other; and the first capacitor electrode in the first sub-pixel is overlapped with the first data line in a direction perpendicular to the base substrate to provide a first capacitor.

Abstract: A display device is disclosed. The display device includes an array substrate and at least two driving units. The array substrate includes a peripheral region and a display region, the array substrate further includes a peripheral grounding line and a test line, wherein the peripheral grounding line is located in the peripheral region, and the test line is located in the peripheral region. The at least two driving units are located on at least one side of the array substrate, the driving unit includes at least two grounding pins, a grounding pin of at least one of the driving units is connected to the peripheral grounding line, and each of at least one grounding pin of one of two adjacent driving units is electrically connected to a corresponding grounding pin of the other adjacent driving unit.

Abstract: A display substrate and a display device are provided. The display substrate includes a base substrate and a plurality of sub-pixels on the base substrate. Each sub-pixel includes a pixel circuit and pixel circuits are in columns in a first direction and rows in a second direction. The sub-pixels includes a first sub-pixel and a second sub-pixel which are directly adjacent in the second direction. A first capacitor electrode in the first sub-pixel and a first capacitor electrode in the second sub-pixel are in a same layer and are spaced apart from each other.

Abstract: This disclosure relates to wireless radio link recovery methods. In various implementations, the method includes determining a beam failure event for a first cell, and transmitting a beam recovery request message on a shared uplink channel when available. In other implementations, the method includes determining that the shared uplink channel is not available for transmitting the beam recovery request message and transmitting a resource request to request allocation of the shared uplink channel via a second cell.

Abstract: A dielectric grating apparatus comprises a substrate; a grating layer, disposed above the substrate; a first interference layer, disposed above the substrate; and a second interference layer, adjacent to the first interference layer, wherein a refractive index of a material of the second interference layer is greater than a refractive index of a material of the first interference layer.

Abstract: The present disclosure provides a display panel and a display device. The display panel includes an array substrate, a bonding area of the array substrate is provided with a plurality of bonding pads and a driving chip. A first area of the driving chip is at least provided with a plurality of first dummy terminals. A height difference caused by warping of driving terminals can be compensated by the first dummy terminals, thereby avoiding a phenomenon of shallow conduction. An insulation protective layer is provided on a part of the array substrate which is corresponding to the first dummy terminals, thereby preventing metal wirings from extrusion damage.

Abstract: A method for obstacle avoidance in degraded environments of robots based on intrinsic plasticity of an SNN is disclosed. A decision network in a synaptic autonomous learning module takes lidar data, distance from a target point and velocity at a previous moment as state input, and outputs the velocity of left and right wheels of the robot through the autonomous adjustment of the dynamic energy-time threshold, so as to carry out autonomous perception and decision making. The method solves the difficulty of the lack of intrinsic plasticity in the SNN, which leads to the difficulty of adapting to degraded environments due to the homeostasis imbalance of the model, is successfully deployed in mobile robots to maintain a stable trigger rate for autonomous navigation and obstacle avoidance in degraded, disturbed and noisy environments, and has validity and applicability on different degraded scenes.

Abstract: Provided are a display panel, a preparation method thereof, and a display apparatus. The display panel includes a display region and a fan-out wire region. The display region includes multiple data lines. The fan-out wire region includes multiple fan-out wires. A fan-out wire of the multiple fan-out wires is electrically connected to a respective data line of the multiple data lines. The fan-out wires include multiple first fan-out wires and multiple second fan-out wires. A second fan-out wire is located on a side of a first fan-out wire facing away from a substrate. The first fan-out wire includes a first main portion and a first edge portion. The second fan-out wire includes a second main portion and a second edge portion. At least one first main portion does not overlap at least one second main portion.

Abstract: Systems and methods are provided for calculating, using an electronic processor, an average environmental brightness and determining a current pulse width modulation (“PWM”) output level provided to the light source. The method also includes determining, using the electronic processor, a target illumination level and a PWM adjustment rate. The PWM adjustment rate is based at least partially on the calculated average environmental brightness. The method also includes adjusting, using the electronic processor, the current PWM output level at the determined PWM adjustment rate to reach the target illumination level, and transmitting the adjusted PWM output level to the light source. The target illumination level is determined as a function of the current PWM output level and an output mode of the light source.

Abstract: Disclosed are a system, method, and computer program product for user network activity anomaly detection. The method includes generating a multilayer graph from network resource data, and generating an adjacency matrix associated with each layer of the multilayer graph to produce a plurality of adjacency matrices. The method further includes assigning a weight to each adjacency matrix to produce a plurality of weights, and generating a merged single layer graph by merging the plurality of layers based on a weighted sum of the plurality of adjacency matrices using the plurality of weights. The method further includes generating a set of anomaly scores by generating, for each node in the merged single layer graph, an anomaly score. The method further includes determining a set of anomalous users based on the set of anomaly scores, detecting fraudulent network activity based on the set of anomalous users, and executing a fraud mitigation process.

Abstract: A display panel and manufacturing method thereof, and a display device. The display region includes first wire and second wire. The non-display region includes third wire and fourth wire. The first wire includes first-type first wire, first-type first wire including first sub wire and second sub wire spaced apart between third wire and fourth wire. The second wire includes first-type second wire; third wire includes first repair line. The fourth wire includes second repair line, and the first sub wire and second sub wire are electrically connected to second repair line through first repair line and first-type second wire. The first wire includes second-type first wire, and second-type first wire is continuous between third wire and fourth wire; second wire includes second-type second wire, second-type second wire transmitting first common signal.

Abstract: Described are a system, method, and computer program product for user network activity anomaly detection. The method includes receiving network resource data associated with network resource activity of a plurality of users and generating a plurality of layers of a multilayer graph from the network resource data. Each layer of the plurality of layers may include a plurality of nodes, which are associated with users, connected by a plurality of edges, which are representative of node interdependency. The method also includes generating a plurality of adjacency matrices from the plurality of layers and generating a merged single layer graph based on a weighted sum of the plurality of adjacency matrices. The method further includes generating anomaly scores for each node in the merged single layer graph and determining a set of anomalous users based on the anomaly scores.

Abstract: A method for obstacle avoidance in degraded environments of robots based on intrinsic plasticity of an SNN is disclosed. A decision network in a synaptic autonomous learning module takes lidar data, distance from a target point and velocity at a previous moment as state input, and outputs the velocity of left and right wheels of the robot through the autonomous adjustment of the dynamic energy-time threshold, so as to carry out autonomous perception and decision making. The method solves the difficulty of the lack of intrinsic plasticity in the SNN, which leads to the difficulty of adapting to degraded environments due to the homeostasis imbalance of the model, is successfully deployed in mobile robots to maintain a stable trigger rate for autonomous navigation and obstacle avoidance in degraded, disturbed and noisy environments, and has validity and applicability on different degraded scenes.

Abstract: Disclosed is a taxpayer industry classification method based on label-noise learning, which comprises the following steps: extracting text information to be mined from taxpayer industry information for text embedding, and performing feature processing on the embedded information; extracting, non-text information from the taxpayer industry information for encoding; constructing a BERT-CNN deep network structure, a number of neurons and the dimensionality of input and output in each layer and the number of target categories; pre-training the network constructed in the previous step through contrastive learning, nearest neighbor semantic clustering and self-labeling learning in turn; adding, a noise modeling layer on the basis of the constructed deep network, modeling label noise distribution through network self-trust and noisy label information, and performing model training; taking the deep network before the noise modeling layer as a classification model, and classifying taxpayer industries.

Abstract: A message right management method, and a device and storage medium for implementing the method, are provided. The message right management method includes obtaining a message created by a source user, and sending a message notification to a target user in a social platform. The method further includes verifying the target user when receiving a request for logging onto a message page from the target user, and controlling logon of the target user to the message page on the basis of a verification result. The method further includes, when receiving a service request of the target user with respect to the message, determining, based on a message right control policy, whether the target user has a right corresponding to a service requested by the service request, and controlling a response to the service request according to a determining result.

Abstract: Described are a system, method, and computer program product for user network activity anomaly detection. The method includes receiving network resource data associated with network resource activity of a plurality of users and generating a plurality of layers of a multilayer graph from the network resource data. Each layer of the plurality of layers may include a plurality of nodes, which are associated with users, connected by a plurality of edges, which are representative of node interdependency. The method also includes generating a plurality of adjacency matrices from the plurality of layers and generating a merged single layer graph based on a weighted sum of the plurality of adjacency matrices. The method further includes generating anomaly scores for each node in the merged single layer graph and determining a set of anomalous users based on the anomaly scores.

Abstract: This application relates to the technical field of speakers and discloses a speaker assembly. The sound-raising assembly includes a first housing, the first housing forms a cavity. The sound assembly includes a cavity, a diaphragm and an armature member, a perimeter of the diaphragm is connected to an inner wall of the cavity, and a side of the diaphragm is provided with a voice coil, the voice coil for driving the vibration of the diaphragm. The armature member is set relative to the cavity and is located on the side of the diaphragm where the voice coil is set. The present application could improve the sound quality of the speaker.