536 results about "Usage model" patented technology

A business model that is dedicated to supporting a wireless messaging device. The model offers unlimited services on a dependent device, including mixed limited/unlimited usage models, pre-and post-pay models, and models not found in a conventional monthly recurring charge system. The model further includes components that address service selection, suspension, resumption, service add-ons, account limitations and restrictions, detect device compatibility with support services, account analysis, charging cycles, billing methods, third-party add-ons and interfacing, and troubleshooting support.

Security is enhanced for a user of a mobile device by monitoring and controlling resource usage. Usage information associated with a mobile device is collected. The collected information is used to build a usage model for a user of the mobile device that describes a set of contexts in which the mobile device is used. User activity on the device is monitored and the model is consulted to determine a first time after which it will be acceptable for a battery of the mobile device to fall below a threshold charge level. Based on the monitored activity, a prediction of a second time is made for when the battery will fall below the threshold charge level. If the second time is before or a predetermined amount of time before the first time, usage of the battery is reduced, else, usage of the battery is not reduced.

Certain embodiments of the invention may be found in a method and system for antenna and radio front-end topologies for a system-on-a-chip (SOC) device that combines Bluetooth and IEEE 802.11 b/g WLAN technologies. A single chip radio device that supports WLAN and Bluetooth technologies receives a WLAN signal in a WLAN processing circuitry of the radio front-end and in a Bluetooth processing circuitry of the radio front-end. Signals generated by the WLAN processing circuitry and the Bluetooth processing circuitry from the received WLAN signal may be combined in a diversity combiner that utilizes selection diversity gain combining or maximal ratio combining (MRC). When a generated signal is below a threshold value, the signal may be dropped from the combining operation. A single antenna usage model may be utilized with the single chip radio device front-end topology to support WLAN and Bluetooth communications.

A contact center performance optimization program for assisting contact center managers improve the performance of their centers comprises a hosted database that collects actual data and a modeling and optimization program that can be used to create center budgets and forecast future performance. The program facilitates improved contact center performance by providing analysis of current operations and forecasting through the use of models, optimization, analyzers and imbedded best practices. The inventive device includes. To forecast future performance and optimize the center's operation, “what if” models and analyzers are used. The invention includes a series of impact analyzers that assist the center manager focus on areas that if improved will produce the greatest overall performance improvement.

A robotic system, and corresponding method, performs the function of a human scrub technician in an operating room. A device, and associated method for using the device, performs one, or more, of the following functions: instrument identification, instrument localization, instrument handling, interaction with a human, and integration of functions through a cognitive system. A method for movement of the device comprises the steps of modeling the arm of the robot to create a model comprising elements of finite mass joined by junctions, using an algorithm to calculate results of the effect of applying force to the elements of the model, using attractive, replusive and postural forces in the algorithm, and using the results of the model to direct motion of the device.

A method and system of monitoring a processing system and for processing a substrate during the course of semiconductor manufacturing. As such, data is acquired from the processing system for a plurality of observations, the data including a plurality of data parameters. A principal components analysis (PCA) model is constructed from the data and includes centering coefficients. Additional data is acquired from the processing system, the additional data including an additional observation of the plurality of data parameters. The centering coefficients are adjusted to produce updated adaptive centering coefficients for each of the data parameters in the PCA model. The updated adaptive centering coefficients are applied to each of the data parameters in the PCA model. At least one statistical quantity is determined from the additional data using the PCA model. A control limit is set for the statistical quantity and compared to the statistical quantity.

Embodiments of the invention describe thermostats that use model predictive controls and related methods. A method of controlling a thermostat using a model predictive control may involve determining a parameterized model. The parameterized model may be used to predicted ambient temperature values for an enclosure. A set of radiant heating system control strategies may be selected for evaluation to determine an optimal control strategy from the set of control strategies. To determine the optimal control strategy, a predictive algorithm may be executed, in which each control strategy is applied to the parameterized model to predict an ambient temperature trajectory and each ambient temperature trajectory is processed in view of a predetermined assessment function. Processing the ambient temperature trajectory in this manner may involve minimizing a cost value associated with the ambient temperature trajectory. The radiant heating system may subsequently be controlled according to the selected optimal control strategy.

One embodiment of the present invention provides a system characterizes a document with respect to clusters of conceptually related words. Upon receiving a document containing a set of words, the system selects “candidate clusters” of conceptually related words that are related to the set of words. These candidate clusters are selected using a model that explains how sets of words are generated from clusters of conceptually related words. Next, the system constructs a set of components to characterize the document, wherein the set of components includes components for candidate clusters. Each component in the set of components indicates a degree to which a corresponding candidate cluster is related to the set of words.

A method and apparatus for predicting the likelihood of an avatar under the control of a user in a virtual environment moving with a predetermined range of a boundary as disclosed in which the movement of the avatar in the virtual environment is monitored for a period of time, a model of avatar movement is determined using the monitor movement, and the likelihood of the avatar movement within the predetermined of a boundary is predicted using the model.

A secure biometric processing system is disclosed. The system comprises a processing system for providing image acquisition and biometric comparison. The processing unit utilizes public key cryptography for handling templates securely and authenticating operations using the template. The system includes a complete biometric engine which implements image reconstruction, template extraction and matching. The secure design of the system combines complete privacy with security, while offering a flexible usage model including on-chip template storage along with encrypted and authenticated communications to the system.

The present invention provides a computationally efficient system for developing configurable, extensible business application product lines using model-driven techniques. The invention enables to create a common business application with a set of pre-defined variants, selection of a suitable variant from the pre-defined set, and composition of the common application with the selected variant into a purpose-specific business application and also provides for modeling of commonality and variability thus leading to a single specification. The invention provides model-based solution to address extensibility and configurability of both structural and behavioral aspects in a functionality dimension of database intensive business application and it supports configuration process at three different stages of application development (i.e. design time, installation time and run time) of database intensive business application. The invention reduces the cost as well as computational time for creating new business applications, and leads to effective maintenance and smooth evolution.

A method of creating and using an adaptive DMC type or other MPC controller includes using a model switching technique to periodically determine a process model, such as a parameterized process model, for a process loop on-line during operation of the process. The method then uses the process model to generate an MPC control model and creates and downloads an MPC controller algorithm to an MPC controller based on the new control model while the MPC controller is operating on-line. This technique, which is generally applicable to single-loop MPC controllers and is particularly useful in MPC controllers with a control horizon of one or two, enables an MPC controller to be adapted during the normal operation of the process, so as to change the process model on which the MPC controller is based to thereby account for process changes. The adaptive MPC controller is not computationally expensive and can therefore be easily implemented within a distributed controller of a process control system, while providing the same or in some cases better control than a PID controller, especially in dead time dominant process loops, and in process loops that are subject to process model mismatch within the process time to steady state.

Disclosed herein are systems, methods, and devices for classifying ophthalmic images according to disease type, state, and stage. The disclosed invention details systems, methods, and devices to perform the aforementioned classification based on weighted-linkage of an ensemble of machine learning models. In some parts, each model is trained on a training data set and tested on a test dataset. In other parts, the models are ranked based on classification performance, and model weights are assigned based on model rank. To classify an ophthalmic image, that image is presented to each model of the ensemble for classification, yielding a probabilistic classification score—of each model. Using the model weights, a weighted-average of the individual model-generated probabilistic scores is computed and used for the classification.

A closed-loop system for insulin infusion overnight uses a model predictive control algorithm (“MPC”). Used with the MPC is a glucose measurement error model which was derived from actual glucose sensor error data. That sensor error data included both a sensor artifacts component, including dropouts, and a persistent error component, including calibration error, all of which was obtained experimentally from living subjects. The MPC algorithm advised on insulin infusion every fifteen minutes. Sensor glucose input to the MPC was obtained by combining model-calculated, noise-free interstitial glucose with experimentally-derived transient and persistent sensor artifacts associated with the FreeStyle Navigator® Continuous Glucose Monitor System (“FSN”). The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during simulated overnight closed-loop control with the MPC algorithm using the glucose measurement error model suggesting that the continuous glucose monitoring technologies facilitate safe closed-loop insulin delivery.

A position estimate for a mobile device is generated using data from motion sensors, such as accelerometers, magnetometers, and/or gyroscopes, and data from light sensors, such as an ambient light sensor, proximity sensor and/or camera intensity sensor. A plurality of proposed positions with associated likelihoods is generated by analyzing information from the motion sensors and a list of candidate positions is produced based on information from the light sensors. At least one of the plurality of proposed positions is eliminated using the list of candidate positions and a position estimate for the mobile device is determined based on the remaining proposed positions and associated likelihoods. The proposed positions may be generated by extracting features from the information from the motion sensors and using models to generate likelihoods for the proposed positions. The likelihoods may be filtered over time. Additionally, a confidence metric may be generated for the estimated position.

A system configuration manager provides a graphical user interface that allows a system administrator to easily administer configuration settings for different computer systems and platforms on a computer network. The system configuration manager of the present invention allows identifying one system configuration or a settings profile as a "model system". Once the model system is defined, other computer systems may be compared to the model system. Differences between the selected computer systems and the model system are then displayed, and the system configuration manager may be used to update the selected computer systems with configuration settings specified in the model system. Cross-platform support is provided by a configuration mapping mechanism that maps configuration information from one platform to corresponding configuration information for another platform. The configuration mapping mechanism effectively hides the differences between platforms by translating the configuration information from a selected platform to corresponding configuration information for the model system.

Method and apparatus for dynamically placing sensors in a 3D model is provided. Specifically, in one embodiment, the method selects a 3D model and a sensor for placement into the 3D model. The method renders the sensor and the 3D model in accordance with sensor parameters associated with the sensor and parameters desired by a user. In addition, the method determines whether an occlusion to the sensor is present.

A method and apparatus are disclosed. The method includes one or more of the following: compiling statistical models of physical layers of a communications system; creating a priori distributions of cross-talk transfer functions; storing the models and the a priori distribution in a storage medium; and using the models and the a priori distributions to diagnose probable causes of events detected in said communications system.