Abstract: A method for compensating display of a spliced screen, including: obtaining a picture to be displayed; obtaining a theoretical brightness gain of at least one sub-display region in a plurality of sub-display regions; obtaining an actual brightness gain of the central region according to the theoretical brightness gain of at least part of the sub-display regions, and obtaining actual brightness gains of a plurality of first nodes in the non-central region according to the theoretical brightness gain of at least part of the sub-display regions; obtaining an actual brightness gain of at least part of the non-central region by using a bilinear interpolation method according to the actual brightness gains of the plurality of first nodes and an actual brightness gain of at least one second node on the central region; and compensating the picture to be displayed based on an actual brightness gain of the picture to be displayed.

Abstract: A sitting posture detection method includes: identifying an input image to generate a face frame under detection and a human frame under detection of a person under detection; calculating a plurality of face angles of the face frame under detection; calculating a plurality of bone feature point coordinates of the human frame under detection; and generating standard sitting posture data according to the face angles and the bone feature point coordinates, and determining a sitting posture of the person under detection according to the face angles, the bone feature point coordinates and the standard sitting posture data.

Abstract: Provided is a system for detecting an anomaly in a multivariate time series that includes at least one processor programmed or configured to receive a dataset of a plurality of data instances, wherein each data instance comprises a time series of data points, determine a set of target data instances based on the dataset, determine a set of historical data instances based on the dataset, generate, based on the set of target data instances, a true value matrix, a true frequency matrix, and a true correlation matrix, generate a forecast value matrix, a forecast frequency matrix, and a forecast correlation matrix based on the set of target data instances and the set of historical data instances, determine an amount of forecasting error, and determine whether the amount of forecasting error corresponds to an anomalous event associated with the dataset of data instances. Methods and computer program products are also provided.

Abstract: The present disclosure provides a memory device, a semiconductor device, and a method of operating a memory device. A memory device includes a memory cell, a bit line, a word line, a select transistor, a fuse element, and a heater. The bit line is connected to the memory cell. The word line is connected to the memory cell. The select transistor is disposed in the memory cell. A gate of the select transistor is connected to the word line. The fuse element is disposed in the memory cell. The fuse element is connected to the bit line and the select transistor. The heater is configured to heat the fuse element.

Abstract: A processing device to be used in an inspection apparatus for optical inspection of samples is configured to be used with an optical inspection device, to be communicatively coupled to a user interface, to receive input data from the user interface and/or from the optical inspection device, and to provide output data to the user interface, and to be communicatively coupled to at least one other processing device to allow data transfer. The processing device is configured as a master unit, and the at least one other processing device is configured as a slave unit. The processing device is further configured to provide a data storage for storing data received as input and/or to be provided as output, and to allow the at least one other processing device to access the data storage to store data and/or to retrieve data.

Abstract: A mechanism for building decentralized computer applications that execute on a distributed computing system. The present technology works within a web browser, client application, or other software and provides access to decentralized computer applications through the browser. The present technology is non-custodial, wherein a public-private key pair, which represents user identity, is created on a client machine and then directly encrypted by a third-party platform without relying on one centralized computing system.

Abstract: The present application discloses a method and a model for controlling an energy storage system for rail transit, a device, and a storage medium. The method includes: determining an offline charging-discharging action according to a state of an energy storage system based on an offline algorithm; determining an online charging-discharging action according to the state of the energy storage system based on a deep reinforcement learning algorithm; acquiring a fusion ratio of the offline charging-discharging action to the online charging-discharging action according to a communication delay amount and a delay degree; and fusing the offline charging-discharging action and the online charging-discharging action according to the fusion ratio and outputting a fusion result to the energy storage system.

Abstract: A system-on-chip in accordance with an aspect of the present application comprises: a communication interface connected with an external bus; a hardware decoder connected with the communication interface; and a microprocessor core connected with the communication interface and the hardware decoder, wherein the hardware decoder is configured to receive, via the communication interface, a signal frame transmitted on the external bus, to extract a receiver address from the signal frame as received and to send a wake-up command to the microprocessor core upon determining that a receiver of the signal frame is the system-on-chip, wherein the microprocessor core is configured to remain in a sleep mode until the wake-up command is received, and to perform an operation specified by a control command contained in the signal frame in response to the wake-up command.

Abstract: A combined catalytic viscosity reducing system includes a catalyst slug, a heat generating system slug, a gas injection slug, and a water-soluble viscosity reducing system slug. The catalyst slug includes 10%-15% of azacarbene iron, 15%-30% of tert-butyl hydroperoxide, 2%-5% of phosphoric acid, 2%-5% of hydrogen donor, and 0.5%-1% of emulsifier agent, and the others are solvent. The heat generating system slug includes 10%-30% of NaNO2, 8%-25% of NH4Cl, and 3%-10% of acid initiator, and the others are water, totaling 100%. The water-soluble viscosity reducing system slug, according to mass percentage, includes 0.2%-0.5% of surfactant and 2%-10% of alkali, and the others are water. The combined catalytic viscosity reducing system can effectively reduce viscosity without injecting steam, and the viscosity reduction rate can reach 96.5%.

Abstract: This invention relates to the technical field of harmonic elimination for ferromagnetic resonance for a voltage transformer (abbreviated as PT), in particular, to a harmonic elimination method for ferromagnetic resonance for an active resistance-matching voltage transformer based on PID-adjustment, including compiling a resistance matching algorithm; designing and building a harmonic elimination control system based on the PID control strategy; presetting an active resistance-matching strategy; designing an engineering scheme for placing resistors.

Abstract: A processing device to be used for optical inspection of samples is configured to be communicatively coupled to a camera of an optical inspection device and to a user interface, to receive input data from the user interface and/or from the camera, to provide output data to the user interface, to be communicatively coupled to a storage device, to provide instructions, by accessing instruction data stored at the storage device, for optical quality inspection of samples to be performed by a user via the user interface. The instructions include instructions regarding what kind of optical quality inspection to be performed on which sample. The processing device is further configured to receive quality report data from the optical quality inspection via the user interface, and/or image data of images acquired by the camera, and to store the quality report data and/or the image data in the storage device.

Abstract: The present disclosure provides a risk assessment method of water inrush in tunnels constructed in water-rich grounds. The method includes the following steps: simulating a tunnel excavation process by finite element software MIDAS GTS NX and fluid-structure interaction; according to a research method of control variables, analyzing effects of a groundwater level, an elastic modulus and advanced pipe shed grouting on the stability of surrounding rock, and improving an algorithm of a radial basis function (RBF) neural network using a Grey Relation Analysis (GRA)-based Partitioning Around Medoid (PAM) clustering algorithm to assess risks of water inrush occurring in Qingdao area.

Abstract: This application discloses a network configuration method and apparatus. In an implementation, the network configuration method is applied to a first electronic device. The first electronic device is connected to a 5G wireless network of a router. The first electronic device discovers, by scanning, a second electronic device. The second electronic device supports a 2.4G wireless network. If service set identifiers and passwords of the 5G wireless network and a 2.4G wireless network of the router are the same, the first electronic device sends, to the second electronic device, the service set identifier and the password of the wireless network to which the first electronic device is currently connected.

Abstract: Embodiments of this application disclose a method and for dividing geographical regions performed by a computing device. The method includes: encoding latitudes and longitudes in a first dataset to obtain a second dataset, the first dataset recording N groups of latitudes and longitudes, and the second dataset recording N region numbers, and each of the region numbers being used for representing a corresponding geographical region; obtaining a third dataset from the second dataset, the third dataset recording M groups of the region numbers, corresponding central point latitudes and central point longitudes in the geographical regions represented by the region numbers; and dividing the geographical regions represented by the M groups of region numbers into P regions according to the third dataset, each of the regions including at least one of the geographical regions represented by the corresponding group of region numbers.

Abstract: A mechanism for building decentralized computer applications that execute on a distributed computing system. The present technology works within a web browser, client application, or other software and provides access to decentralized computer applications through the browser. The present technology is non-custodial, wherein a public-private key pair, which represents user identity, is created on a client machine and then directly encrypted by a third-party platform without relying on one centralized computing system.

Abstract: A method includes receiving a first data set comprising embeddings of first and second types, generating a fixed adjacency matrix from the first dataset, and applying a first stochastic binary mask to the fixed adjacency matrix to obtain a first subgraph of the fixed adjacency matrix. The method also includes processing the first subgraph through a first layer of a graph convolutional network (GCN) to obtain a first embedding matrix, and applying a second stochastic binary mask to the fixed adjacency matrix to obtain a second subgraph of the fixed adjacency matrix. The method includes processing the first embedding matrix and the second subgraph through a second layer of the GCN to obtain a second embedding matrix, and then determining a plurality of gradients of a loss function, and modifying the first stochastic binary mask and the second stochastic binary mask using at least one of the plurality of gradients.

Abstract: A micro light-emitting diode structure is provided. The micro light-emitting diode structure includes an epitaxial layer. The micro light-emitting diode structure also includes a reflecting layer disposed on the epitaxial layer. The micro light-emitting diode structure further includes a patterned electrode layer disposed between the epitaxial layer and the reflecting layer. The patterned electrode layer is divided into a plurality of patterned electrode segments, and the patterned electrode segments are separated from each other. Moreover, the micro light-emitting diode structure includes a first-type electrode and a second-type electrode disposed on the reflecting layer and electrically connected to the epitaxial layer.

Abstract: The present disclosure relates to an ion beam etching (IBE) system including a plasma chamber configured to provide plasma, a screen grid, an extraction grid, an accelerator grid, and a decelerator grid. The screen grid receives a screen grid voltage to extract ions from the plasma within the plasma chamber to form an ion beam through a hole. The extraction grid receives an extraction grid voltage, where a voltage difference between the screen grid voltage and the extraction grid voltage determines an ion current density of the ion beam. The accelerator grid receives an accelerator grid voltage. A voltage difference between the extraction grid voltage and the accelerator grid voltage determines an ion beam energy for the ion beam. The IBE system can further includes a deflector system having a first deflector plate and a second deflector plate around a hole to control the direction of the ion beam.

Abstract: A sensing circuit and a correction method thereof, a pixel driving module and a sensing method thereof, and a display apparatus, the sensing circuit includes: an operation amplifier (AMP), an integration capacitor (Cfb), a first switch (S1), a second switch (S2), a third switch (S3), a fourth switch (S4), a fifth switch (S5) and a sixth switch (S6).