Abstract: A method for implementing visualization of public welfare activities includes: displaying to a target user a map of a geographic region for carrying out a public welfare activity in response to the target user's selection, wherein the map comprises a first geographic location associated with a first icon indicating that the public welfare activity has been carried out at the first geographic location and a second geographic location associated with a second icon indicating that the public welfare activity is able to be carried out at the second geographic location; when a relationship exists between the target user and a public welfare activity participant user that has carried out the public welfare activity on the map, displaying on the map user information of the public welfare activity participant user; updating the second icon to be a first icon in response to the target user's selection on the second icon.

Abstract: A polymer dispersion system for use in a hydraulic fracturing operation is disclosed. The system comprises (a) a tank assembly comprising an ingress, an egress, and an interior volume for collecting mother solution; (b) a first transfer pump coupled with the egress of the tank assembly: and (c) a second transfer pump coupled with the egress of the tank assembly. The first transfer pump is configured for coupling to a missile unit and a blender unit downstream thereof, but in fluid communication with only one of such units at any given time when coupled. A method of operating said polymer dispersion system is also disclosed.

Abstract: A thermal power unit-flywheel energy storage cooperative frequency regulation control method and system is provided, which belongs to the technical field of a power grid. First, a real-time output increment of a thermal power unit is predicted, then a real-time frequency regulation power instruction of a flywheel energy storage system is determined based on the predicted real-time output increment of the thermal power unit, and finally the frequency regulation power instruction of the thermal power unit is determined by a difference adjustment coefficient of a governor and a grid frequency deviation. The thermal power unit and flywheel energy storage system is cooperatively controlled by frequency regulation based on the real-time output increment predicted value of the unit, which realizes self-adaptive adjustment of output of the flywheel energy storage system under dynamic working conditions, and improves the grid frequency stability and operation safety of the thermal power unit.

Abstract: The present invention provides a frequency modulation dynamic modeling method and device for a wind farm, and an electronic device. The method includes: acquiring first frequency modulation data measured at a grid-connected point of the wind farm under a plurality of preset working conditions; establishing a state space model corresponding to each of the plurality of working conditions according to the first frequency modulation data; measuring the nonlinearity between the state space models corresponding to each two of the plurality of working conditions by using a gap measurement method; combining the first frequency modulation data according to the nonlinearity to obtain second frequency modulation data; and training a preset initial LSTM neural network according to the second frequency modulation data until a preset training requirement is met, and obtaining a trained frequency modulation dynamic model of the wind farm.

Abstract: The present invention discloses an intelligent soft measurement method for wind speed in front of a wind turbine. The method includes: first using laser radar data as a data sample, judging delay orders between input and output by using an AIC or BIC criterion, defining a dynamic difference regression vector according to the delay orders, dividing hyperplanes according to a clustering result by using a machine learning algorithm, and performing dynamic differential input/output nonlinear mapping modeling in a global scope and sub-scopes by using an artificial intelligence dynamic regression algorithm, respectively. Empirical mode decomposition and power spectral density analysis are performed on the wind speed in front of a laser radar measuring machine and the wind speed in front of a soft measurement machine, thereby further verifying the estimation performance of intelligent soft measurement for the wind speed in front of a wind turbine.

Abstract: A vehicle-behavior prediction device includes: a priority determination section that determines the priority of a host vehicle and a vehicle concerned when the host vehicle and the vehicle concerned pass through a road section; and a vehicle control section that sets the time from when the vehicle concerned stops to when the host vehicle starts action to avoid the vehicle concerned to be shorter in a case where the priority of the host vehicle is low than in a case where the priority of the host vehicle is high.

Abstract: A touch panel having a visible area and a non-visible area disposed at least on one side of the visible area. The touch panel includes a substrate, a nano-metal conductive layer, a trace layer, a first passivation layer, and a second passivation layer. The nano-metal conductive layer is disposed on the substrate and at least in the visible area. The trace layer is disposed on the substrate and in the non-visible area. The trace layer is electrically connected to the nano-metal conductive layer. The first passivation layer covers the trace layer. The second passivation layer covers at least a portion of the first passivation layer. The first passivation layer has a different Young's modulus than the second passivation layer.

Abstract: Embodiments are directed towards employing multiple profiles to track identification of users across multiple domains. Multiple application-domain profiles and multiple web-domain profiles may each include a statistical identifier. A profile enrichment store may be generated from the application-domain profiles and web-domain profiles, where each entry in the profile enrichment store may be based on statistical identifiers. The profile enrichment store may be utilized to determine categories associated with a statistical identifier for a request from a client device. A targeted advertisement may be determined based on the determined category and may be provided to the client device. A client caching identifier may be used in a mobile web domain, in combination with the statistical identifier, to track mobile web users. If a request is associated with a profile that includes an affirmative opt-out flag, categories in the profile enrichment store for a corresponding statistical identifier may be cleaned up.

Abstract: A method for implementing visualization of public welfare activities includes: displaying to a target user a map of a geographic region for carrying out a public welfare activity in response to the target user’s selection, wherein the map comprises a first geographic location associated with a first icon indicating that the public welfare activity has been carried out at the first geographic location and a second geographic location associated with a second icon indicating that the public welfare activity is able to be carried out at the second geographic location; when a relationship exists between the target user and a public welfare activity participant user that has carried out the public welfare activity on the map, displaying on the map user information of the public welfare activity participant user; updating the second icon to be a first icon in response to the target user’s selection on the second icon.

Abstract: An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item.

Abstract: A polymer dispersion system for use in a hydraulic fracturing operation is disclosed. The system comprises (a) a tank assembly comprising an ingress, an egress, and an interior volume for collecting mother solution; (b) a first transfer pump coupled with the egress of the tank assembly: and (c) a second transfer pump coupled with the egress of the tank assembly. The first transfer pump is configured for coupling to a missile unit and a blender unit downstream thereof, but in fluid communication with only one of such units at any given time when coupled. A method of operating said polymer dispersion system is also disclosed.

Abstract: Disclosed is a federated learning-based regional photovoltaic power probability forecasting method, mainly comprising steps of: pinpointing all photovoltaic power stations in a region which participate in a federated learning framework for probability forecasting, collecting information within a period of time and corresponding photovoltaic power variables, and sampling the variables according to time sequence into a sample dataset; processing missing values and outliers in the sample dataset resulting from the step; splitting the sample data set of the photovoltaic power stations into a training set and a testing set according to a preset proportion; normalizing the training set and the testing set, respectively; creating a federated learning framework; building, by a central server, a global forecasting model based on forecast requirements, defining a training error function and a precision requirement, and distributing the network architecture and initialized parameters to all photovoltaic power stations.

Abstract: According to an aspect, a method includes receiving data about a patient, computing geometric characterization of one or more organs at risk proximate to a target volume of a patient or vice versa, and selecting relevant treatment knowledge and experience. The method also includes generating, based on the received data, computed geometric characterization, and available knowledge and experience, a first set of radiation treatment planning parameters that will lead to a high quality plan for the patient. Further, the method includes model-based prediction, based on the data, a second set or more of radiation treatment planning parameters that will lead to alternative achievable plans with different organ sparing objectives for treating the patient. The multiple sets for parameters can be used separately or in conjunction to generate treatment plans.

Abstract: A method for implementing visualization of public welfare activities includes: displaying to a target user a map of a geographic region for carrying out a public welfare activity in response to the target user's selection, wherein the map comprises a first geographic location associated with a first icon indicating that the public welfare activity has been carried out at the first geographic location and a second geographic location associated with a second icon indicating that the public welfare activity is able to be carried out at the second geographic location; when a relationship exists between the target user and a public welfare activity participant user that has carried out the public welfare activity on the map, displaying on the map user information of the public welfare activity participant user; updating the second icon to be a first icon in response to the target user's selection on the second icon.

Abstract: The present invention discloses a self-heating hot pot with an anti-scald structure and belongs to the technical field of self-heating hot pots. The self-heating hot pot includes an outer housing, an inner container box and a heating bag; a partition plate is arranged inside the inner container box, a bulge is arranged on the top of the inner container box, and the inner container box is placed on a supporting block on the inner wall of the outer housing by the bulge; an anti-scale device including baffles is arranged on a side wall of the outer housing, the two upper and lower baffles form a circle of heat insulation groove on the side wall of the outer housing, a heat expansion assembly is arranged in the heat insulation groove and is connected with an anti-scald plate.

Abstract: Disclosed herein are system, method, and computer-readable device embodiments of a no-code, enterprise application software (EAS) system. The system may include a database configured to store a data model including one or more parties, governors and steps. The database may be further configured to store a plurality of rules in a rules table. The system may also include a rules engine, coupled to the database, where the rules engine is configured to query a rules table utilizing a compound index to locate a rule to execute and execute the rule. Further included in the system may be a query engine coupled to the database for converting user defined queries into database-specific queries and a report engine coupled to the database for generating reports based on the data stored in the database.

Abstract: An optical assembly and a vehicle lamp are described. The optical assembly has a main exit direction, and includes a light source, a first light guide element and a second light guide element which are arranged in a superposed fashion in the main exit direction. The light source is allocated to the first light guide element, and the first light guide element has a first light in-coupling region and a first light out-coupling surface, the second light guide element has a second light in-coupling surface and a second light out-coupling surface, with the first light out-coupling surface facing the second light in-coupling surface. A light distribution structure is provided on at least a partial segment of at least one of the first light out-coupling surface and the second light in-coupling surface. The vehicle lamp includes the optical assembly described above.

Abstract: Techniques image suitability determination to generate augmented reality/virtual reality (AR/VR) digital content are described. A two-dimensional digital image is received. Using machine-learning, a determination as to whether an object captured by the two-dimensional digital image is suitable for generating AR/VR digital content for display in an AR/VR environment is made. If the object is suitable, an indication is provided and an option to view the object in an AR/VR environment is provided. If the object is not suitable, a suggestion indicating why the object as captured is not suitable and/or how to correct the capture of the object in a subsequent digital image such that it is suitable for generating AR/VR digital content.

Abstract: A pickup, a stringed instrument, and a pickup control method are disclosed. The pickup comprises: pickup components(110), multi-touch screens(130) and processing components(140). The multi-touch screens(130) and the processing components(140) are connected. The pickup components(110) and the processing components(140) are connected. The pickup components(110) is configured to pick up sound information emitted by a musical instrument. The multi-touch screen(130) is configured to display function application information that is selected from a group consisting of timbre adjustment function application information, tone adjustment function application information, and equalizer adjustment function application information. The multi-touch screen is configured to receive a function triggering instruction. The multi-touch screen displays information as to functional applications available through the pickup capabilities.