Patent classifications
G06F30/20
Dynamic engine for a cognitive reservoir system
Implementations described and claimed herein provide systems and methods for developing a reservoir. In one implementation, a static model of the reservoir is received. The static model has one or more clusters of rock types. A reservoir graph is generated from the static model. The reservoir graph represents each of the one or more clusters as a vertex. A graph connectivity of the reservoir graph is defined through a nodal connectivity of neighboring vertices. Pressure values are propagated across three-dimensional space of the reservoir graph using the connectivity. A dynamic model of the reservoir is generated using the pressure values and fluid saturation values.
Method and device for allowing simulator to analyze radio wave environment in wireless communication system
Disclosed is a 5G or pre-5G communication system for supporting a data transmission rate higher than that of a 4G communication system such as LTE. The present invention relates to a method by which a simulator analyzes a radio wave environment in a wireless communication system, and the method of the present invention comprises the steps of: allowing a simulator to receive geographic information and position information by which a transmitter and a receiver can be positioned in the geographic information; generating, by the transmitter of the simulator arranged at a random position in accordance with the position information, radio waves for at least one direction of a sphere having a fixed radius; grouping into at least one group on the basis of a traveling route of the generated radio waves; setting each group as an operation unit (Warp/Wavefront) for a graphics processing unit (GPU); and analyzing a radio wave environment by using the GPU in which the operation unit is set.
Method and device for allowing simulator to analyze radio wave environment in wireless communication system
Disclosed is a 5G or pre-5G communication system for supporting a data transmission rate higher than that of a 4G communication system such as LTE. The present invention relates to a method by which a simulator analyzes a radio wave environment in a wireless communication system, and the method of the present invention comprises the steps of: allowing a simulator to receive geographic information and position information by which a transmitter and a receiver can be positioned in the geographic information; generating, by the transmitter of the simulator arranged at a random position in accordance with the position information, radio waves for at least one direction of a sphere having a fixed radius; grouping into at least one group on the basis of a traveling route of the generated radio waves; setting each group as an operation unit (Warp/Wavefront) for a graphics processing unit (GPU); and analyzing a radio wave environment by using the GPU in which the operation unit is set.
Real-time system and method for calibrating a water distribution network hydraulic model
Ultra-high accuracy elevation and pressure telemetry devices are used to develop an autonomous, self-calibrating hydraulic piping network computer simulation model. Virtual pressure reducing valve (PRV) model elements force a local downstream calibration of the model using the pressure telemetry data, overcoming the potential ill conditioned state when simulating wide ranging, real world operational conditions. This technique also creates a smaller solution set for calibration optimization algorithms such as machine learning. Additional benefits of this technique include the ability to ignore complex facilities such as pump stations, water storage tanks, and control valves enabling a more rapid development of the real-time water piping network computer simulation model.
Real-time system and method for calibrating a water distribution network hydraulic model
Ultra-high accuracy elevation and pressure telemetry devices are used to develop an autonomous, self-calibrating hydraulic piping network computer simulation model. Virtual pressure reducing valve (PRV) model elements force a local downstream calibration of the model using the pressure telemetry data, overcoming the potential ill conditioned state when simulating wide ranging, real world operational conditions. This technique also creates a smaller solution set for calibration optimization algorithms such as machine learning. Additional benefits of this technique include the ability to ignore complex facilities such as pump stations, water storage tanks, and control valves enabling a more rapid development of the real-time water piping network computer simulation model.
Generating approximations of cardiograms from different source configurations
Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.
Automated honeypot creation within a network
Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.
Automated honeypot creation within a network
Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.
Method for calculating temperature-dependent mid-span vertical displacement of girder bridge
A method for calculating a temperature-dependent mid-span vertical displacement of a girder bridge includes: setting a joint rotation of a main girder at each support as an unknown quantity, and establishing an equation according to a bending moment equilibrium condition at the joint; then introducing a sequence to establish a quantitative relationship between each unknown quantity; substituting the relationship into the equation, to obtain an analytical formula for a rotation at each joint; establishing an analytical formula for a bending moment at each joint through a principle of superposition; and finally, establishing an analytical formula for a mid-span vertical displacement of each span girder through a principle of virtual work. This method provides an analytical formula with exact solutions for prismatic girder bridges which have equal side spans yet have any number of spans.
Method for calculating temperature-dependent mid-span vertical displacement of girder bridge
A method for calculating a temperature-dependent mid-span vertical displacement of a girder bridge includes: setting a joint rotation of a main girder at each support as an unknown quantity, and establishing an equation according to a bending moment equilibrium condition at the joint; then introducing a sequence to establish a quantitative relationship between each unknown quantity; substituting the relationship into the equation, to obtain an analytical formula for a rotation at each joint; establishing an analytical formula for a bending moment at each joint through a principle of superposition; and finally, establishing an analytical formula for a mid-span vertical displacement of each span girder through a principle of virtual work. This method provides an analytical formula with exact solutions for prismatic girder bridges which have equal side spans yet have any number of spans.