711 results about "Adaptive system" patented technology

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.

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 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.

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.

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 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.

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.

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.

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 system and method for configuring a receiver such that the duty cycle of the receiver clock accurately matches the duty cycle of the data signal received. This adaptive system and method calibrates a receiver's duty cycle to optimize the receiver timing margin for different data signal types and different slave devices. In one embodiment, a duty cycle correction circuit matches the receiver clock to a predetermined duty cycle. The receiver clock is then configured to have a duty cycle skewed from the predetermined duty cycle based on the specific data signal received. In a receiver system utilizing a clock tree, individual branches of the clock tree are configured to have respective duty cycles skewed to match the duty cycle of a data signal received from a specific transmitting device.