69 results about "Predictive simulation" patented technology

A system for mitigation of cyberattacks employing an advanced cyber decision platform comprising a time series data retrieval module, a directed computational graph module, an outcome simulation module, and an observation module. The time series data retrieval module monitors cybersecurity related data from multiple sources, and continuously monitors traffic on a client network. The directed computational graph module analyzes the retrieved data for baseline pattern determination, and analyzes the data for anomalous occurrences. The outcome simulation module performs predictive simulation transformations on data provided by other modules of the platform and provides results as needed. The observation module formats data to maximize impact of included information and data.

A system for mitigation of cyberattacks employing an advanced cyber decision platform comprising a time series data retrieval module, a directed computational graph module, an outcome simulation module, and an observation module. The time series data retrieval module monitors cybersecurity related data from multiple sources, and continuously monitors traffic on a client network. The directed computational graph module analyzes the retrieved data for baseline pattern determination, and analyzes the data for anomalous occurrences. The outcome simulation module performs predictive simulation transformations on data provided by other modules of the platform and provides results as needed. The observation module formats data to maximize impact of included information and data.

A materials characterization method models dynamic, non-linear, temperature-dependent stress, strain, hysteresis, creep, and loss of elasticity at high strain, both in test samples and in Finite Element Analysis (FEA). Incorporating universal properties of statistical mechanics and adapting domain models from ferromagnetics to the higher-dimensional realm of stress tensors, the model is applicable to polymers, rubbers, liquids, and metals in elastic and plastic deformation. The model quantifies the dynamics of both plastic and brittle failure. Apparatus and methods are shown for testing material samples and matching the computational model to sample characteristics, leading to a set of characterizing parameters and predictive simulations using those parameters. Though apparatus and testing protocols of the invention yield optimum characterizations, pre-existing data from conventional testing yield useful results.< / PTEXT>

The invention discloses an image simulation method based on a continuous multiple-point geostatistics method, soft data and hard data. For the prediction simulation of permeability images, soft data and hard data are comprehensively utilized to provide a method simulating permeability distribution by using the continuous multiple-point geostatistics method so as to obtain a simulation result similar to the structure characteristics of training images. Compared with the condition that only hard data is used and condition data is not provided, the invention has the highest simulation precision when using soft data and hard data and has minimum CPU time and memory consumption. Compared with the two-point geostatistics method, the continuous MPS method can simulate permeability images more accurately, so that the invention can be widely applied to the application development fields, such as geothermal energy, oil and natural gas fields, coal bed gas and the like.

A method of simulating a local system which is in interaction with other local systems within a global environment. The method includes generating, at a central location, a collection of global sets of values, each representing a possible future global state of the global environment at a future time, and the collection representing a variety of possible future global states. The method also includes transmitting the collection of global sets of values to the local systems. The local systems receive some of the collection, select a local set of parameters, and perform calculations on that data. The collection of values is used as a predictive simulation of the local system.

A focused-ultrasound or other procedure for treating a target within a tissue region can be planned iteratively by creating a treatment plan specifying a treatment location pattern and stimuli applied thereto, simulating the treatment, computationally predicting an effect of the simulated treatment, comparing the predicted effect against one or more treatment constraints (such as efficacy and / or safety thresholds), and, if a constraint is violated, repeating the simulation for an adjusted treatment plan.

The invention discloses a demand response participated power distribution network three-phase imbalance and carbon emission treatment method. The method comprises the following steps of performing day-ahead load and new energy output prediction; simulating user behaviors to form flexible load power data, and obtaining a user basic load on the basis of the predicted user total load; a flexible load model of the electric vehicle and the air conditioner is constructed by considering load operation condition constraints; constructing a three-phase imbalance index of the power distribution network, and constructing a carbon emission index of the power distribution network based on different energy carbon emission factors; a multi-target optimization model is constructed by fusing the three-phase imbalance treatment target of the power distribution network and the carbon emission reduction target of the power distribution network; and solving an optimization problem by combining a heuristic optimization algorithm with power flow simulation software of the power distribution network so as to reduce network loss and carbon emission of the power distribution network. According to the method, demand response resources are fully utilized, carbon emission reduction of the power distribution network and reduction of the three-phase unbalance degree of the power distribution network are achieved, landing of the dual-carbon policy in the power distribution network is promoted, and the method has important value.

A system for insurance process management employing an advanced decision platform has been developed. A high speed data retrieval and storage module retrieves insurance related data from a plurality of sources. A predictive analytics module performs predictive analytics functions on normalized insurance related data. A predictive simulation module performs predictive simulation functions on normalized insurance related data. An interactive display module displays results of activity of the predictive analytics module and the predictive simulation module as pre-programmed by analysts of an investigation, and re-display results in ways differing by additional representation programming instructions over the course of a viewing session.

A real-time control system includes a simulation system to implement a predictive, look-ahead function that provides an operator with information that enables a higher level of situational awareness of the expected transitional events of future steps within the control program or sequence logic. The simulation system enables future steps and transitions to be monitored before they actually occur, which enables the operator to recognize and potentially take action, in a current time step, to alleviate the underlying cause of the problem, thus reducing the likelihood of or preventing a sequence stall of the control program.