1308 results about "Adaptive method" patented technology

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 adaptive method and apparatus for forecasting and controlling neurological abnormalities in humans such as seizures or other brain disturbances. The system is based on a multi-level control strategy. Using as inputs one or more types of physiological measures such as brain electrical, chemical or magnetic activity, heart rate, pupil dilation, eye movement, temperature, chemical concentration of certain substances, a feature set is selected off-line from a pre-programmed feature library contained in a high level controller within a supervisory control architecture. This high level controller stores the feature library within a notebook or external PC. The supervisory control also contains a knowledge base that is continuously updated at discrete steps with the feedback information coming from an implantable device where the selected feature set (feature vector) is implemented. This high level controller also establishes the initial system settings (off-line) and subsequent settings (on-line) or tunings through an outer control loop by an intelligent procedure that incorporates knowledge as it arises. The subsequent adaptive settings for the system are determined in conjunction with a low-level controller that resides within the implantable device. The device has the capabilities of forecasting brain disturbances, controlling the disturbances, or both. Forecasting is achieved by indicating the probability of an oncoming seizure within one or more time frames, which is accomplished through an inner-loop control law and a feedback necessary to prevent or control the neurological event by either electrical, chemical, cognitive, sensory, and / or magnetic stimulation.

A new type of transaction manager is disclosed that provides a unique set of methods and components for efficient transaction processing, error management, and transaction recovery. The combination of these methods and components are applicable to a wide range of business and technical scenarios that do not lend themselves to traditional transaction processing methods, permitting a degree of automation and robustness hitherto impossible. The methods extend and generalize the traditional transaction properties of atomicity, consistency, isolation, and durability.

A method and system for performing sequence time domain reflectometry to determine the location of line anomalies in a communication channel is disclosed. In one embodiment, the system generates a sequence signal and transmits the sequence signal over a channel. The system receives one or more reflection signals, and performs reflection signal processing on the reflection. In one embodiment, the reflection signal is correlated with the original sequence signal to generate a correlated signal. The system determines a time value between the start of the reflection signal and the subsequent points of correlation to determine a location of a line anomaly. In one embodiment preprocessing and post-processing occurs to counter the effects of a communication device, such as a DMT modulator / demodulator. In one embodiment sampling of the sequence and reflection signal may occur at different times or at a different phase to provide greater resolution of the line anomaly location.

A method for determining the state of charge (SOC) of a lithium ion battery is provided. The method leverages a circuit model of the lithium ion battery, and generates four battery parameters from which the SOC is derived.