Abstract: Systems and methods for incident response using artificial intelligence for information technology operations are disclosed. In one embodiment, a method may include an incident response computer program executed by an electronic device: (1) receiving an incident ticket for an incident involving a computer product or a computer system within an organization from a service management platform for the computer product or the computer system; (2) providing incident information from the incident ticket to a trained incident response machine learning engine, wherein the trained incident response machine learning engine is trained to predict a solution for the incident based on historical incident data; (3) receiving, from the trained incident response machine learning engine, a predicted solution for the incident; and (4) providing the predicted solution to the service management platform. The service management platform provides the predicted solution to the computer product or the computer system.

Abstract: A data transmission method, apparatus, and device, and a computer storage medium are provided. The method includes: obtaining an application packet of a target application; transmitting the application packet to a first routing device by using a network data channel, and transmitting, by using the first routing device, the application packet to a proxy server; meanwhile, transmitting the same application packet to a second routing device by using a short-range wireless data channel different from the network data channel, and transmitting, by using the second routing device, the application packet to the proxy server. The proxy server performs, a deduplication mechanism on the application packet and transmit the application packet to an application server corresponding to the target application.

Abstract: The present specification discloses video matching. In a computer-implemented method, a plurality of feature vectors of a target video is obtained. A candidate video similar to the target video is retrieved from a video database based on the plurality of feature vectors of the target video. A time domain similarity matrix feature map is constructed between the target video and the candidate video based on the target video and the candidate video. Using the time domain similarity matrix feature map as an input into a deep learning detection model, a video segment matching the target video in the candidate video and a corresponding similarity is output.

Abstract: The present invention relates to the technical field of identification on adulterated meat, and in particular, to a method for identifying raw meat and high-quality fake meat based on a gradual linear array change of a component. The present invention spatially characterizes changing rules of featured components in the meat with the utilization of sensitivities of the visible/near-infrared spectral signals to changes of the components in the meat and the advantage that spectral scanning can acquire optical signals of the samples spatially and consecutively, further constructs the identification model according to differences in components and spectra of a region of interest in the hyperspectral image by taking a derivative for characterizing rates of change of the featured components.

Abstract: Disclosed are a display module and a manufacturing method therefor. The display module comprises: a substrate provided with an LED chip; an encapsulating layer for encapsulating the LED chip, wherein the encapsulating layer covers the substrate and the LED chip, and an ink color layer, which covers the encapsulating layer, wherein the surface roughness of the side of the ink color layer that faces away from the encapsulating layer is Ra<1 micron, and Rz<2 microns.

Abstract: A cloud-edge collaborative processing system includes: an edge computing system, an ICU diagnosis and treatment device, a service terminal device, and a cloud platform. The edge computing system collects multi-source heterogeneous medical data output from the ICU diagnosis and treatment devices and performs preprocessing, stores preprocessed data into an edge database, and connects to the cloud platform for data transmission and business interaction. The cloud platform connects to a plurality of edge computing systems to perform computation and processing of massive data. The medical-staff handheld terminals and the data terminals of wards are used to issue service instructions to the cloud platform to obtain the required third-party-business services.

Abstract: Disclosed are a method and system for generating a data analysis report of a multi-parameter monitoring device. The method includes: receiving, by an application server, multi-parameter data transmitted in real time by the multi-parameter monitoring device, and storing the received multi-parameter data in a database server; the application server receiving a report generation instruction transmitted by a client, the instruction including a client identifier used for indicating a permission of the client; if the permission is a first mode permission, transmitting the multi-parameter data to the client, to allow the client to process the multi-parameter data, so as to generate a multi-parameter analysis report and a report attachment; and if the permission is a second mode permission, the application server processing the multi-parameter data to generate the multi-parameter analysis report and the report attachment, and transmitting the multi-parameter analysis report and the report attachment to the client.

Abstract: The present application relates to a system and method for sharing data on a medical cloud platform based on third-party business. The system includes: a terminal device and a cloud platform. The cloud platform receives a massive quantity of vital-sign data that are sent by the terminal device, analyzes and processes the massive quantity of vital-sign data by using the deep-learning framework of distributed parallel computation, screens abnormal data, and sends an abnormal-event warning to the user, to prompt the medical care personnel to quickly intervene.

Abstract: Embodiments of the present invention provide a method and apparatus for exporting and importing a group node, which relate to the field of software development technology. The present disclosure enables: receiving an exporting request, where the exporting request is used to request to export a target group node; recursively acquiring nodes in a node group corresponding to the target group node and connection lines between the nodes in the node group; generating a first file according to the target group node, the nodes in the node group, and grouping information of the group nodes in the node group; generating a second file according to connection lines between the nodes in the node group; and outputting a serialized file for the target group node according to the first file and the second file.

Abstract: Provided are a method and apparatus for generating a combined graphical control, a device and a storage medium. The method includes combining at least two basic functionality controls in a graphical interface into the combined graphical control according to a combining operation triggered by a user; according to a template generation operation triggered by the user, popping up a configuration window corresponding to the combined graphical control and generating a resource file corresponding to the combined graphical control; receiving configuration information inputted by the user in the configuration window; generating a configuration file corresponding to the combined graphical control according to the configuration information; and storing the configuration file and the resource file in a set control library.

Abstract: Provided are a graph generation method and apparatus, a device, and a storage medium. The graph generation method comprises: parsing target logical information to obtain a plurality of logical elements; converting the plurality of logical elements into a syntax tree according to logic of the target logical information, where the syntax tree comprises a plurality of layers of tree nodes, and tree nodes between layers have a dependency relationship; converting the plurality of layers of tree nodes into a plurality of graph nodes; and connecting the plurality of graph nodes according to the dependency relationship to obtain a logical graph corresponding to the target logical information to allow a user to perform special effect editing based on the logic.

Abstract: Embodiments of the present disclosure relate to a method, apparatus, device, and medium for image special effect processing, wherein the method including: in response to a first generation request for a first target node in a main image, generating a first sub-container node connected to a main container node associated with the main image; the first generation request including a first image type corresponding to the first target node, generating a first sub-image associated with the first sub-container node based on the first image type, the first sub-image including at least one first operation node; acquiring a command for image special effect processing based on a main operation node of the main image and the first operation node of the first sub-image; and processing and displaying a target image based on the command for image special effect processing.

Abstract: The present disclosure is related to receiving a first operation on a target group node; in response to the first operation, displaying a node presentation interface; receiving a second operation on an output node in the nodes constituting the target group node; in response to the second operation, adding a first port on the output node, adding a second port corresponding to the first port on the target group node, and setting the port types of the first port and the second port to a first type; receiving a third operation, where the third operation is used to connect the first port and the third port; in response to the third operation, connecting the first port and the third port, and setting the port types of the first port and the second port to a second type, the second type being the port type of the third port.

Abstract: A modular power supply system includes: a main controller, configured to output a main control signal; N local controllers, wherein each of the local controllers is configured to receive the main control signal to output at least one local control signal; and N power units, in one-to-one correspondence with the N local controllers, wherein each of the power units includes a first end and a second end, and the second end of each of the power units is connected to the first end of an adjacent one of the power units, each of the power units is configured to include M power converters, each of the power converters is configured to operate according to the local control signal, wherein the same local control signal controls the power semiconductor switches at an identical position in at least two of the M power converters to be simultaneously turned on and off.

Abstract: A modular power supply system is configured to include: a main controller, configured to output a main control signal; N local controllers, wherein each of the local controllers is configured to receive the main control signal to output at least one local control signal; N auxiliary power supplies, in one-to-one correspondence with the N local controllers, wherein each of the auxiliary power supplies is configured to provide power to the corresponding local controller, and N power units, in one-to-one correspondence with the N local controllers, wherein each of the power units includes a first end and a second end, the second end of each of the power units is connected to the first end of an adjacent one of the power units, each of the power units is configured to include M power converters, each of the power converters is configured to operate according to the local control signal.

Abstract: A modular power supply system includes: a main controller, configured to output a main control signal; N local controllers, wherein each of the local controllers is configured to receive the main control signal to output at least one local control signal; and N power units, in one-to-one correspondence with the N local controllers, wherein each of the power units includes a first end and a second end, and the second end of each of the power units is connected to the first end of an adjacent one of the power units, each of the power units is configured to include M power converters, wherein each of the power converters includes a third end and a fourth end, the fourth end of each of the power converters is connected to the third end of an adjacent one of the power converters.

Abstract: The present application relates to a system and method for sharing data on a medical cloud platform based on third-party business. The system includes: a terminal device and a cloud platform. The cloud platform receives a massive quantity of vital-sign data that are sent by the terminal device, analyzes and processes the massive quantity of vital-sign data by using the deep-learning framework of distributed parallel computation, screens abnormal data, and sends an abnormal-event warning to the user, to prompt the medical care personnel to quickly intervene.

Abstract: A modular power supply system, includes: a main controller, configured to output a main control signal; N local controllers, wherein each of the local controllers is configured to receive the main control signal to output at least one local control signal; and N power units, in one-to-one correspondence with the N local controllers, wherein each of the power units includes a first end and a second end, the second end of each of the power units is connected to the first end of an adjacent one of the power units, each of the power units includes M power converters, and each of the power converters is configured to operate according to the local control signal output by a corresponding local controller, wherein each of the power units further includes: M sampling circuits, configured to sample positive DC bus voltages and negative DC bus voltages of the M power converters respectively.

Abstract: A system and method for food sterilization utilizing microwave-generated plasma. The plasma is used to irradiate food to destroy pathogens on the food, whereby the food is sterilized. The plasma may be a low-temperature, high-pressure plasma.

Abstract: A system includes a structure including an upper chamber linked to a lower chamber, the upper chamber including a gas inlet configured to enable a gas to enter the upper chamber, the lower chamber including a plasma outlet, a microwave generator configured to deliver a microwave to the upper chamber causing atoms in the gas to ionize to generate a charged particle microwave plasma, a hollow cathode centrally positioned within the lower chamber and an anode surrounding an interior wall of the lower chamber, and a power source for generating power, the power flowing between the anode and the hollow cathode causing atoms in the gas to ionize to generate a charged particle hollow cathode plasma.