714 results about "Adaptive system" patented technology

A system and method is provided that allows proxy servers to receive capability and preference information concerning user agents (502 and 510) desiring to establish a media session. The proxy server compares the capabilities of the user agents and determines whether an incompatibility exists between them. In the event that an incompatibility does exist, the proxy server may invoke the services of an adaptation server (508) to provide the necessary adaptation required to allow the media session to proceed. The adaptation system allows either the terminating or originating proxy server to make the adaptation determination to allow the adaptation server to modify the offered media session descriptions so that the media streams may be routed through the adaptation server to adapt between incompatible media parameters.

Adaptive system for medical monitoring distributes data processing among computing devices connected to a network to optimize usage of computational resources, network communication speed and user experience. Data processing is distributed into several levels with bi-directional communication between the levels (computing devices) to coordinate and adjust data compression, filtering, and analysis, as well as the size of buffered data available for transmission and / or receiving.

The present invention is an improved computational method and system of empirical induction that can be used to arrive at generalized conclusions and make predictions involving longitudinal associations between and among variables and events. Empirical induction is used to gain scientific knowledge, to develop and evaluate treatments and other interventions, and to help make predictions and decisions. The invention, which is distinct from and often complementary to the statistical method, is applied to repeated measures and multiple time-series data and can be used to quantify, discover, analyze, and describe longitudinal associations for individual real and conceptual entities. Major improvements include provisions to define Boolean independent events and Boolean dependent events and to apply analysis parameters such as episode length and episode criterion for both independent and dependent variables, persistence after independent events, and delay and persistence after Boolean independent events. These improvements are in addition to levels of independent and dependent variables, delay after independent events, and provision to quantify benefit and harm across two or more dependent variables. Additional improvements include provisions to quantify longitudinal associations as functions of period or time and to compute values of predictive indices when there are two or more independent variables. Major applications and uses of the invention include data mining, the conduct of clinical trials of treatments for the management or control of chronic disorders, health-effect monitoring, the quantification and analysis internal control in adaptive systems, analyses of serial functional images, analyses of behavior and behavior modification, and use to create computerized devices and systems whose behavior can be modified by experience. The present invention is best implemented on the Internet.

A system for treating pain consisting of an “add-on” module integrated within the implantable pulse generator (IPG) component of IPG spinal cord stimulators, or, alternatively, integrated within the radiofrequency (RF) transmitter component of RF spinal cord stimulators. The system automatically and continuously monitors, measures, and classifies multiple patient physiological parameters without human intervention. The system also classifies qualitative perceptive changes felt by the patient. On the basis of this input vector information, the system automatically and continuously generates the most appropriate stimulation programs to improve, alleviate, or eliminate the patient's pain without human intervention. The system automatically and continuously adapts itself to both quantitative physiological changes within the patient and qualitative perceptive changes felt by the patient.

An adaptive system applied to social network and process network applications is disclosed. These adaptive social networking and tagging systems, and adaptive process network systems, apply algorithms for monitoring user usage behaviors across a plurality of usage behavior categories associated with a computer-based system, and generating recommendations based on inferences on user preferences and interests based, at least in part, on usage behaviors. Additional functions for effectively and efficiently managing social and process networks, such as social network measurement and analysis features, community tagging functions, and process network recombination functions are also described.

A duplex polarization adaptive system is described. The system provides polarization diversity for base station antennas under both receive and transmitting conditions. Since the base station provides polarization diversity in both transmit and receive modes, no polarization diversity is needed in the handheld unit. Even though the handheld unit does not provide polarization diversity, a duplex communication system, that uses polarization diversity for both the uplink and the downlink is provided, because the base station provides polarization diversity for the uplink and the downlink paths. By installing the two-way diversity at the base station, the overall cost of implementing diversity is reduced because one base station can typically serve many handsets. The base station antenna determines the polarization state of signals received from a remote unit, such as a handheld unit, using a polarization diverse antenna system. The base station then transmits using the same polarization state. The system is compatible with time-division duplex systems.

Adaptive systems and methods that may help assure the reliability of data retrieved from memory cells are described herein. The systems may include a memory device including a plurality of memory cells, a data quality monitoring block, and an adaptive data encoding block, the data quality monitoring block and the adaptive data encoding block both being operatively coupled to the memory device. The data quality monitoring block may be configured to determine a quality value of a group of one or more memory cells included in the memory device, the determined quality value being indicative of a quality of the group of one or more memory cells. The adaptive data encoding block may be configured to select a coding scheme from a plurality of coding schemes to encode data to be written to the group of one or more memory cells in the memory device, the selection of the coding scheme being based at least in part on the determined quality value of the group of one or more memory cells.

A system, computer program, and method for organizing and managing data structures including based on input from a feedback agent is provided, the method including: (a) a method for faceted classification that is applicable to a domain of information, said method of faceted classification including: (i) a facet analysis of said domain or receiving the results of facet analysis of the domain; and (ii) applying a faceted classification synthesis of said domain; and (b) a complex-adaptive method for selecting and returning information, on one or more iterations, from said faceted classification synthesis, said complex-adaptive method varying the organizing and managing of data structures in response to said returned information. A system and method for faceted classification of a domain of information is also provided that includes providing a faceted data set including facet attributes with which to classify information, such facet attributes including optionally facet attribute hierarchies for the facet attributes; (b) providing a dimensional concept taxonomy in which the facet attributes are assigned to objects of the domain to be classified in accordance with concepts that associate meaning to the objects, said concepts being represented by concept definitions defined using said facet attributes and associated with the objects in the dimensional concept taxonomy, said dimensional concept taxonomy expressing dimensional concept relationships between the concept definitions in accordance with the faceted data set; and (c) providing or enabling a complex-adaptive system for selecting and returning dimensional concept taxonomy information to vary the faceted data set and dimensional concept taxonomy in response to the dimensional concept taxonomy information. In another aspect of the method of the present invention the method for faceted classification of the domain of information further includes performing faceted classification synthesis to relate a set of concepts represented by concept definitions defined in accordance with a faceted data set including facet attributes, and optionally facet attribute hierarchies. The invention also provides a computer system for enabling a user to manipulate dimensional concept relationships. A further aspect of the system is a system for organizing and managing data structures including based on input from a feedback agent, in which the system includes or is linked to a complex-adaptive system for selecting and returning dimensional concept taxonomy information to vary a faceted data set and a dimensional concept taxonomy in response to dimensional concept taxonomy information, the dimensional concept taxonomy expressing dimensional concept relationships between the concept definitions in accordance with the faceted data set.

An ultrasound scanner is equipped with one or more fuzzy control units that can perform adaptive system parameter optimization anywhere in the system. In one embodiment, an ultrasound system comprises a plurality of ultrasound image generating subsystems configured to generate an ultrasound image, the plurality of ultrasound image generating subsystems including a transmitter subsystem, a receiver subsystem, and an image processing subsystem; and a fuzzy logic controller communicatively coupled with at least one of the plurality of ultrasound imaging generating subsystems. The fuzzy logic controller is configured to receive, from at least one of the plurality of ultrasound imaging generating subsystems, input data including at least one of pixel image data and data for generating pixel image data; to process the input data using a set of inference rules to produce fuzzy output; and to convert the fuzzy output into numerical values or system states for controlling at least one of the transmit subsystem and the receiver subsystem that generate the pixel image data.

The invention provides a driving behavior self-adaptation system which comprises a driving information collecting module, a vehicle surrounding collecting module, a data recording and analyzing module and a driving control module. The driving information collecting module is used for collecting the driving state information of a vehicle. The vehicle surrounding collecting module is used for collecting the surrounding conditions around the vehicle. The data recording and analyzing module analyzes the driving behavior of a driver according to the driving state information and the surrounding conditions of the vehicle, a driving behavior model of the driver is established, and the driving control module carries out automatic control over the driving behavior of the vehicle according to the established driving behavior model under a corresponding mode. By learning the driving habit of the driver, the driving behavior model is established according to the driving habit, the established driving behavior model is close to the real driving habit of the driver, and accordingly during automatic driving, good riding experience is provided for the driver. In addition, the invention provides a driving behavior self-adaptation method.

A complex-adaptive system is described for providing a faceted classification of a domain of information. A dimensional concept taxonomy classifying a domain may be constructed from a faceted data set comprising facets, facet attributes, and facet attribute hierarchies. An enhanced method of faceted classification provides the taxonomy which assigns facet attributes to objects of the domain to be classified in accordance with concepts (defined using the facet attributes) that ascribe meaning to the objects. Further the taxonomy expresses dimensional concept relationships between concept definitions in accordance with the faceted data set. The complex-adaptive system selects dimensional concept taxonomy information to facilitate varying the faceted data set and subsequent iterations of the taxonomy. The complex-adaptive system may involve a machine-based approach using statistical analysis of source data structures or user interactions with the taxonomy to provide the feedback. Computer system, method and software aspects are provided.

A patterned mask is located at a distance from a linear detector array. A point radiating source illuminates the aperture to cast an image onto the array. A computer is employed to identify frequencies in the frequency domain to determine the image scale and shift along the detector array axis. Determination of the magnification of the aperture image is made employing frequency domain techniques, the aperture pattern being re-scaled to match that of the actual image, so that determination of pattern shift can be made. A first embodiment of the present invention has two variations, one of which employs the use of multiple single frequency components and phase methodology, the second of which uses multiple single frequency components as well as a variable frequency component. In a second embodiment, a composite image is also used except that only one single frequency component is used in addition to a non-periodic function.

An adaptive system enables providers to customize educational objects and support services to maximize user engagement. The system is a self-service system for education for providers that includes a learning environment with interfaces for stakeholders, metrics for measuring the level of user engagement, and a customizable service configured to maximize user engagement. The system may operate in many domains, such as higher education, retail, government, test preparation and certification services, negotiations, and others.

An adaptive system applied to social network and process network applications is disclosed. These adaptive social networking and tagging systems, and adaptive process network systems, apply algorithms for monitoring user usage behaviors across a plurality of usage behavior categories associated with a computer-based system, and generating recommendations based on inferences on user preferences and interests based, at least in part, on usage behaviors. Additional functions for effectively and efficiently managing social and process networks, such as social network measurement and analysis features, community tagging functions, and process network recombination functions are also described.

Methods and systems that (a) adaptively segment a raw data stream(s) of different type biomedical signals; (b) assign attribute values to each segment; (c) determine an attribute domain based on a point corresponding to said segment attribute value; (d) generate a cluster set(s) in said attribute domain that includes a combination of points; (e) obtain a probability of order of appearance of each cluster point, according to its property value; (f) use said probability to update each point's property value; (g) repeat (d) through (f) while varying combinations of points in clusters according to their most updated property values and points derived from additional raw data stream adaptive segmentations; (h) associate at least one updated cluster with a normal / abnormal physiological state based on reference clusters in said domain; and (i) obtain the change probability between normal / abnormal physiological states using said probability of the order of appearance.

A video signal processor includes an edge enhancement determining circuit that senses the amount of some characteristic of that signal which provides a measure of noise inherent in the signal, precisely determines a preferred amount of edge enhancement to be applied to a video signal as a function of that characteristic, and applies that amount of edge enhancement to the video signal. The video signal characteristic, used to determine the noise content of the video signal includes the amount of automatic gain control amplification and the brightness of the viewed scene. Thus, the amount of edge enhancement added to the video signal is adaptively controlled according to the brightness level of the viewed scene and the amplification level of the video signal by the automatic gain control circuit, and provides the proper amount of edge sharpness to the viewed video scene as a function of its noise content. This provides an increase in perceived sharpness of the viewed image, without an increase in background noise that occurs in conventional non-adaptive systems.

An edge adaptive system and method for image filtering. The method maps each output pixel onto input image coordinates and then prefilters and resamples the input image pixels around this point to reduce noise and adjust the scale corresponding to a particular operation. Then the edge in the input image is detected based on local and average signal variances in the input pixels. According to the edge detection parameters, including orientation, anisotropy and variance strength, the method determines a footprint and frequency response for the interpolation of the output pixel. In a more particular implementation, the method divides the input pixel space into a finite number of directions called skews, and estimates the edge orientation with the nearest skew direction. This further facilitates pixels inclusion in the interpolation of the output pixel.

A system for dynamically updating user accessible features of a software application on a client computer has a user interface, a local usage data file, and a data mining engine. The user interface is adapted to receive operator inputs. The local usage data file is adapted to store usage information corresponding to the operator inputs. The data mining engine is adapted to process the stored usage information and to generate local adjustments to a user interface of the software application based on the operator inputs. In one embodiment, a server is adapted to receive usage data from a plurality of application instances on a plurality of client computers and to generate global adjustments based on the received usage data. In one embodiment, the system has a merge feature adapted to blend and resolve conflicts between local and global adjustments to generate an interface adjustment for the user interface.

An adaptive multivariable process control system includes a multivariable process controller, such as a model predictive controller, having a multivariable process model characterized as a set of two or more single-input, single-output (SISO) models and an adaptation system which adapts the multivariable process model. The adaptation system detects changes in process inputs sufficient to start an adaptation cycle and, when such changes are detected, collects process input and output data needed to perform model adaptation. The adaptation system next determines a subset of the SISO models within the multivariable process model which are to be adapted, based on, for example, a determination of which process inputs are most correlated with the error between the actual (measured) process output and the process output developed by the multivariable process model. The adaptation system then performs standard or known model switching and parameter interpolation techniques to adapt each of the selected SISO models. After the adaptation of one or more of the SISO models, the resulting multivariable process model is validated by determining if the adapted multivariable process model has lower modeling error than the current multivariable process model. If so, the adapted multivariable process model is used in the multivariable controller.

Virtual reality-based adaptive systems and methods are disclosed for improving the delivery of physical therapy and rehabilitation. The invention comprises an interactive software solution for tracking, monitoring and logging user performance wherever sensor capability is present. To provide therapists with the ability to observe and analyze different motion characteristics from the exercises performed by patients, novel visualization techniques are provided for specific solutions. These visualization techniques include color-coded therapist-customized visualization features for motion analysis.

In an interface unit, an input section obtains an input signal of user's speech or the like and an input processing section processes the input signal and detects information relating to the user. On the basis of the detection result, a response contents determination section determines response contents to the user. While, a response manner adjusting section adjusts a response manner to the user, such as speech speed and the like, on the basis of the processing state of the input signal, the information relating to the user detected from the input signal, and the like.

A complex-adaptive system is described for providing a faceted classification of a domain of information. A dimensional concept taxonomy classifying a domain may be constructed from a faceted data set comprising facets, facet attributes, and facet attribute hierarchies. An enhanced method of faceted classification provides the taxonomy which assigns facet attributes to objects of the domain to be classified in accordance with concepts (defined using the facet attributes) that ascribe meaning to the objects. Further the taxonomy expresses dimensional concept relationships between concept definitions in accordance with the faceted data set. The complex-adaptive system selects dimensional concept taxonomy information to facilitate varying the faceted data set and subsequent iterations of the taxonomy. The complex-adaptive system may involve a machine-based approach using statistical analysis of source data structures or user interactions with the taxonomy to provide the feedback. Computer system, method and software aspects are provided.

A system for dynamically updating user accessible features of a software application on a client computer has a user interface, a local usage data file, and a data mining engine. The user interface is adapted to receive operator inputs. The local usage data file is adapted to store usage information corresponding to the operator inputs. The data mining engine is adapted to process the stored usage information and to generate local adjustments to a user interface of the software application based on the operator inputs. In one embodiment, a server is adapted to receive usage data from a plurality of application instances on a plurality of client computers and to generate global adjustments based on the received usage data. In one embodiment, the system has a merge feature adapted to blend and resolve conflicts between local and global adjustments to generate an interface adjustment for the user interface.

Embodiments of the invention include an adaptive system and method for cooling a computer system. A plurality of interchangeable fans may be provided for cooling the computer system. Each fan may have different operational limits, but with a minimum fan speed selected so that all of the fans produce substantially the same airflow rate at the respective minimum fan speed. In one embodiment, the operational limits are stored in a computer-readable storage medium on a computer system cooling fan. The stored fan speeds are electronically retrieved from the fan, and a fan speed table is automatically generated from the retrieved maximum and minimum fan speeds. The fan speed table includes cooling state values indexed to specific fan speed values. The fan is operated at a fan speed associated with a dynamically selected cooling state.

A method of reducing channel state information fed back in an adaptive orthogonal frequency division multiple access system when transmitting and receiving data packets between a base station and a mobile station using an orthogonal frequency division multiplexing method comprising adaptive modulation and coding. The method includes: transmitting a data packet comprising information as to whether adaptive modulation and coding is on or off from the base station to the mobile station via a downlink; and tracking a modulation and coding scheme level only when it is determined that adaptive modulation and coding is performed based on the information as to whether adaptive modulation and coding is on or off and feeding back the channel state information obtained from the tracking result from the mobile station to the base station via an uplink.

The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.

The invention is a control algorithm that uses detected current and voltage to estimate the real-time value of the stator resistance and speed of the wind power generator, and uses the speed estimated by the algorithm as speed feedback to control the permanent magnet synchronous wind power generator. The speed value is estimated in the following way: According to the motor stator voltage and current value obtained by detection, the stator resistance value of the wind turbine is identified online based on the model reference adaptive system (MRAS), and the estimated electrical angle and the actual electrical angle of the rotor are obtained based on the back electromotive force. Error calculation formula, the fan speed is estimated by eliminating this error. The current and voltage values ​​in the electrical angle error calculation formula are obtained by detection, the stator resistance value that changes during generator operation is obtained by MRAS identification, and the differential term of the stator current is realized by a tracking differentiator (TD), so that it can be estimated more accurately and quickly Rotating speed.

A method of detecting radar returns and measuring their parameters with or without clutter present and no clutter cancellation employed which includes transmitting at least one pulse; processing the returns surpassing a threshold detected in one range azimuth bin and by processing and separating out the returns based on their different range and azimuth. Another method includes transmission of many pulses and has minimum of one channel return surpassing detected threshold, which is detected in one range Doppler bin. The method also includes processing and thereby separating out the returns based on their different radial velocity and or azimuth and comparing the returns to a database of expected returns and adaptively processing returns that do not correspond to the expected returns. The method identifies the non-corresponding returns as indicative of at least one of clutter, land sea interface, clutter discretes and antenna sidelobe returns each without utilizing clutter cancellation.