1005 results about "Predicting performance" patented technology

A system and method for estimating the position of wireless devices within a wireless communication network combines measured RF channel characteristics for the wireless device with one or more predicted performance lookup tables, each of which correlates an RF channel characteristic to some higher order network performance metric and / or a position within an environmental model. Measured RF channel characteristics for wireless devices are compared against the performance lookup tables to determine the sent of lookup tables that most closely match the measured RF channel characteristics. The positions within the environmental model corresponding to the selected set of matching lookup tables are identified as possible locations for the wireless device. The performance lookup tables are uniquely constructed by site-specific location, technology, wireless standard, and equipment types, and / or the current operating state of the communications network.

A method for visualizing and efficiently making comparisons of communication system performance utilizing predicted performance, measured performance, or other performance data sets is described. A system permits visualizing the comparisons of system performance data in three-dimensions using fluctuating elevation, shape, and / or color within a three-dimensional computer drawing database consisting of one or more multi-level buildings, terrain, flora, and additional static and dynamic obstacles (e.g., automobiles, people, filing cabinets, etc.). The method enables a design engineer to visually compare the performance of wireless communication systems as a three-dimensional region of fluctuating elevation, color, or other aesthetic characteristics with fully selectable display parameters, overlaid with the three-dimensional site-specific computer model for which the design was carried out.

A method and apparatus for predicting the performance of a drilling system for the drilling of a well bore in a given formation includes generating a geology characteristic of the formation per unit depth according to a prescribed geology model, obtaining specifications of proposed drilling equipment for use in the drilling of the well bore, and predicting a drilling mechanics in response to the specifications as a function of the geology characteristic per unit depth according to a prescribed drilling mechanics model. Responsive to a predicted-drilling mechanics, a controller controls a parameter in the drilling of the well bore. The geology characteristic includes at least rock strength. The specifications include at least a bit specification of a recommended drill bit. Lastly, the predicted drilling mechanics include at least one of bit wear, mechanical efficiency, power, and operating parameters. A display is provided for generating a display of the geology characteristic and predicted drilling mechanics per unit depth, including either a display monitor or a printer.

Disclosed is a system and method for predicting game play performance of a number of sports team players selected for fantasy game play where a winner of the fantasy game play is determined by a fantasy points value. The system includes a remote user device including a display, and a host system operatively coupled to the remote user device via an access network. The host system includes an application server and a database coupled to the application server where the application server is configured to provide a number of numerical performance indexes to a user of the remote user device based on sport team player performance data and game play data. The numerical performance indexes correspond to predicted game play performance of the sports team athletes, where the number of numerical performance indexes are utilized by the user to select a fantasy sports team for fantasy game play.

A system and method for estimating the position of wireless devices within a wireless communication network combines measured RF channel characteristics for the wireless device with one or more predicted performance lookup tables, each of which correlates an RF channel characteristic to some higher order network performance metric and / or a position within an environmental model. Measured RF channel characteristics for wireless devices are compared against the performance lookup tables to determine the sent of lookup tables that most closely match the measured RF channel characteristics. The positions within the environmental model corresponding to the selected set of matching lookup tables are identified as possible locations for the wireless device. The performance lookup tables are uniquely constructed by site-specific location, technology, wireless standard, and equipment types, and / or the current operating state of the communications network.

A method of determining a machine for operating at an actual site includes establishing a three-dimensional geographical model representing the actual site, determining at least one operation characteristic relating to the operation of each of a set of machines in relation to the model, and predicting at least one performance characteristic for each machine based on the at least one operation characteristic and at least one respective characteristic of the different machines. The method further includes comparing the predicted performance characteristics for the different machines, and determining a target machine based on the comparison.

The invention comprises a method and apparatus for determining a network connectivity in a network having a plurality of nodes. In particular, one embodiment of the method includes generating a candidate link for each of a plurality of node pairs, predicting a performance of each candidate link by evaluating an expected impact of at least one condition on each candidate link, and determining the network topology using the predicted performances of the candidate links. The performance of each candidate link may be predicted by identifying at least one condition, determining the expected impact of the at least one condition on the candidate link, and predicting the performance of the candidate link by adjusting an expected performance of the candidate link using the expected impact of the at least one condition on the candidate link.

The invention relates to a method for predicting the performance of large-scale hydrocarbon-bearing reservoir floods. One embodiment of the invention includes a method for predicting performance of a patterned flooding process in a subterranean hydrocarbon-bearing formation, said formation being penetrated by a plurality of injector wells and producer wells, comprising the steps of: determining flow-based pairs of injector to producer wells [FIG. 4, item 78a] (first well pairs) using a geological model [item 76]; developing a connective pore volume distribution curve for each first well pair item [78b]; selecting at least two first well pairs (selected well pairs) that reflect narrow and wide connective pore volume distributions that correspond to high and lower oil recovery levels; developing a 3-D simulation model for each selected well pair, performing a reservoir simulation for each selected well pair for the corresponding flooding process; and generating prototype performance curves for each selected well pair. An alternate embodiment of the invention includes a method for predicting the performance of large-scale hydrocarbon-bearing reservoir floods where injection well location, production well location, a process parameter, or a well processing rate is modified.

A method, computer program product, and a data processing system for optimizing task throughput in a multi-processor system. A performance metric is calculated based on performance counters measuring characteristics of a task executed at one of a plurality of processor frequencies available in the multi-processor system. The characteristics measured by the performance counters indicate activity in the processor as well as memory activity. A performance metric provides a means using measured data at one available frequency to predict performance at another processor frequency available in the multi-processing system. Performance loss minimization is used to assign a particular task to a particular frequency. Additionally, the present invention provides a mechanism for priority load balancing of tasks in a manner that minimizes cumulative performance loss incurred by execution of all tasks in the system.

A method is provided for monitoring, predicting performance of, and managing Business Operations by the simultaneous, real-time Integration, Normalization and Correlation of direct measurements at the Business Layer and other Layers of Business Operations. The other Layers considered, may include, for example, Application and Infrastructure Layers. The system enables the user to automate sophisticated management tasks by Correlating measurements of activity, performance and availability at all Layers of Business Operations. Significantly, the techniques described herein extend the domain of the Correlations across real-time measurements from all Layers of Business Operations, giving central importance to the measurements in the Business Layer within the Correlations.

A model system for simulating the performance of a subterranean well, starts with a base model wherein input logging data, pressure transient data and PVT data is introduced into the base model. A numerical interpreter then calculates the predicted performance of the well. A match system compares actual performance data with calculated performance data based on the base model through reiterative loop for modifying the base model to provide a match between the actual performance data and the predicted performance data to optimize the base model. The method for generating the optimized performance data in accordance with the subject invention incorporates the steps of introducing known pressure transient data, well logging data and PVT data for the well into a base model and producing a performance prediction from the base model. These results are compared with actual performance data and the model is modified to generate a performance prediction that matches the actual performance for producing an optimized model. The method is particularly useful because it accounts for and adjusts the performance prediction based on non-Darcy factors effecting the fluid parameters in the well.

This invention generally relates to a process, system and computer code for updating of computer applications based on collecting automation information related to a current application such as processing power, load, footprint, and performance attributes, determining a system automation profile; using an artificial intelligence based modeler for analyzing data, applying the data to an artificial intelligence model for training and predicting performance, adjusting the artificial intelligence model to achieve an updated automation criteria with optimal values, wherein the optimal values provide input to an automation criteria library for storing and updating a prior automation criteria, and exporting the upgraded automation criteria values for incorporation in a computer-to-be-updated, to achieve a reliable automatic update.

The disclosed embodiments provide a system that facilitates scheduling threads in a multi-threaded processor with multiple processor cores. During operation, the system executes a first thread in a processor core that is associated with a shared cache. During this execution, the system measures one or more metrics to characterize the first thread. Then, the system uses the characterization of the first thread and a characterization for a second, second thread to predict a performance impact that would occur if the second thread were to simultaneously execute in a second processor core that is also associated with the cache. If the predicted performance impact indicates that executing the second thread on the second processor core will improve performance for the multi-threaded processor, the system executes the second thread on the second processor core.

A method of determining a machine for operating at an actual site includes establishing a three-dimensional geographical model representing the actual site, determining at least one operation characteristic relating to the operation of each of a set of machines in relation to the model, and predicting at least one performance characteristic for each machine based on the at least one operation characteristic and at least one respective characteristic of the different machines. The method further includes comparing the predicted performance characteristics for the different machines, and determining a target machine based on the comparison.

A method for migration from a multitenant database is shown that includes building an analytical model for each of a set of migration methods based on database characteristics; predicting performance of the set of migration methods using the respective analytical model with respect to tenant service level agreements (SLAs) and current and predicted tenant workloads, where the prediction includes a migration speed and an SLA violation severity; and selecting a best migration method from the set of migration methods according to the respective predicted migration speeds and SLA violation severities.

Methods and devices are provided for predicting performance of a restriction system for a patient. In general, the methods and devices can allow detection and prediction of a trajectory of a particular patient attribute, such as weight loss. Using previously gathered data values, data values defining a future outcome can be predicted and compared with a desired future outcome. If the future outcome deviates from the desired future outcome, one or more corrective actions can be suggested to a patient and / or a health care provider to help align the patient's treatment plan with the desired future outcome rather than the currently predicted future outcome.

A computer-implemented system and method is provided herein for social commerce analytics and optimization. A hosted platform collects and stores online visitor traffic data from social media platforms and from commercial platforms linked to social media campaigns operating on the social media platforms. Algorithms are executed to establish baseline performance parameters for the commercial platforms based on the stored data, and visitors of the social media campaigns and commercial platforms are identified and scored based on predetermined scoring metrics. The scores are aggregated with respect to the social media campaigns and / or the commercial platforms, and actual performances based on the aggregated scores are compared with the established baseline performance parameters. An interface may be generated for a client user associated with the commercial platform to represent one or more of the performance comparisons, and optionally provide alerts to underperformance or suggest future actions based on predicted performance.

A method for visualizing and efficiently making comparisons of communication system performance utilizing predicted performance, measured performance, or other performance data sets is described. A system permits visualizing the comparisons of system performance data in three-dimensions using fluctuating elevation, shape, and / or color within a three-dimensional computer drawing database consisting of one or more multi-level buildings, terrain, flora, and additional static and dynamic obstacles (e.g., automobiles, people, filing cabinets, etc.). The method enables a design engineer to visually compare the performance of wireless communication systems as a three-dimensional region of fluctuating elevation, color, or other aesthetic characteristics with fully selectable display parameters, overlaid with the three-dimensional site-specific computer model for which the design was carried out.

Systems and methods for determining well parameters for optimization of well performance. The method includes training, via a computing system, a well performance predictor based on field data corresponding to a hydrocarbon field in which a well is to be drilled. The method also includes generating, via the computing system, a number of candidate well parameter combinations for the well and predicting, via the computing system, a performance of the well for each candidate well parameter combination using the trained well performance predictor. The method further includes determining, via the computing system, an optimized well parameter combination for the well such that the predicted performance of the well is maximized.

Selection of a service provider network at a wireless subscriber device (10) includes monitoring service provider network parameters (54) of each of a plurality of available service provider networks (S1, S2), predicting performance capabilities of each of the plurality of available service provider networks (S1, S2), computing a performance metric (56) for each of the plurality of available service provider networks (S1, S2) based on desired performance parameters and on the predicting of performance capabilities of each of the plurality of available service provider networks (S1, S2), and selecting one of the plurality of available service provider networks (S1, S2) based on the computed performance metric (58). The subscriber device (10) is therefore capable of rapidly and autonomously identifying a service provider network that would best serve its current service needs based on the performance metric.

The invention discloses a performance prediction and fault alarm method for a photovoltaic power station. The method comprises the following steps of: a, setting the station of the power station; b, setting the operation mode of the power station; c, judging whether required real-time data or historical data exists or not; d, predicting the performance of the power station through an experience model if the state in the step a is that a new photovoltaic power station is required to be designed and the required real-time data or historical data in the step c does not exist, and predicting the performance of the power station through a data drive performance model if the required real-time data or historical data in the step c exists; e, predicting the performance of the power station through the data drive performance model or a polynomial regression model if the photovoltaic power station in the step a is operated and the required real-time data or historical data in the step c exists, and predicting the performance of the power station through the experience model if the required real-time data or historical data in the step c does not exist; f, comparing actual performance with the predicted performance, and performing fault alarm; and g, correcting the models on line by a Kalman filtering method and returning to the step c, and otherwise, directly returning to the step e. By the method, solar energy resources can be utilized to the maximum extent, and power utilization cost can be reduced; and the accuracy of performance prediction and fault diagnosis is improved.

A method for trilateration may include receiving a signal via each of a plurality of LOS paths and predicting performance of each LOS path. The method may also include filtering out signals received via LOS paths with performance below a predetermined threshold value. The method may further include performing trilateration using unfiltered signals to substantially determine a location of a device.

A method and apparatus for predicting the performance of a drilling system for the drilling of a well bore in a given formation includes generating a geology characteristic of the formation per unit depth according to a prescribed geology model, obtaining specifications of proposed drilling equipment for use in the drilling of the well bore, and predicting a drilling mechanics in response to the specifications as a function of the geology characteristic per unit depth according to a prescribed drilling mechanics model. Responsive to a predicted drilling mechanics, a controller controls a parameter in the drilling of the well bore. The geology characteristic includes at least rock strength. The specifications include at least a bit specification of a recommended drill bit. Lastly, the predicted drilling mechanics include at least one of bit wear, mechanical efficiency, power, and operating parameters. A display is provided for generating a display of the geology characteristic and predicted drilling mechanics per unit depth, including either a display monitor or a printer.

The invention relates to a method for predicting the performance of large-scale hydrocarbon-bearing reservoir floods. One embodiment of the invention includes a method for predicting performance of a patterned flooding process in a subterranean hydrocarbon-bearing formation, said formation being penetrated by a plurality of injector wells and producer wells, comprising the steps of: determining flow-based pairs of injector to producer wells [FIG. 4, item 78a] (first well pairs) using a geological model [item 76]; developing a connective pore volume distribution curve for each first well pair item [78b]; selecting at least two first well pairs (selected well pairs) that reflect narrow and wide connective pore volume distributions that correspond to high and lower oil recovery levels; developing a 3-D simulation model for each selected well pair, performing a reservoir simulation for each selected well pair for the corresponding flooding process; and generating prototype performance curves for each selected well pair. An alternate embodiment of the invention includes a method for predicting the performance of large-scale hydrocarbon-bearing reservoir floods where injection well location, production well location, a process parameter, or a well processing rate is modified.

A system and method for identifying optimal system architectures for a reference application are provided. The system and method comprise executing a reference application and a plurality of test applications on a current system architecture and sampling performance data for each of the applications. The performance data is used to compute an application signature for each application. A similarity element is derived from the application signatures that illustrates the similarity between each application and every other application. Using a similarity threshold and an algorithm, a subset of test applications that are similar to the reference application are derived.

A computer receives entry of a proposed security rule during a security rule entry or editing session and determines that the proposed security rule requires review of a type of security data. The number of matches of the proposed security rule to the logged security data is determined and a user is notified as to the number of matches. The computer searches the security data and applies the proposed security rule to the security data to determine the predicted performance of the proposed security rule. The computer generates a report that may include warnings, recommendations, and information correlated to the security data. The report is presented to a user during the rule editing session, and based on the report a modification to the proposed security rule can be made.

Systems and methods are disclosed for monitoring and managing data transactions, such as SQL transactions. In certain examples, a management subsystem generates an alert identifying degrading database transactions to facilitate preventative tuning or other maintenance. In particular, a monitor module tracks performance measurements (e.g., logical reads) of select transactions. A modeler correlates the performance measurements and assigns first performance model(s) to represent the performance measurements and predicted performance measurements of a particular transaction. A trend change module detects a significant change in a trend and / or variance of the performance measurements and can cause the modeler module to generate a second performance model to represent at least a portion of the performance measurements and the predicted performance measurements of the particular transaction. An interface module triggers an alert when the second performance model indicates that the predicted performance measurements of the particular transaction are degrading at or above a threshold rate.