34 results about "Functional mapping" patented technology

A method of automatically matching schemas begins by extracting schemas from sources and targets. Then, source and target attributes are extracted from the schemas. Each source schema will have multiple source attributes and each target schema will also have multiple target attributes. The source attributes and the target attributes are presented as nodes in a bipartite graph. This bipartite graph has edges between nodes that are related to each other. A plurality of similarity scores are defined between each set of related nodes. Each of the similarity scores is based on a different context-specific cue of the attributes that the nodes represent. These context-specific cues can comprise lexical name, semantic name, type, structure, functional mappings, etc. An overall weight is computed for each edge in the bipartite graph by combining the similarity scores of each set of nodes that form an edge. In addition, an optimal matching of the schemas is assembled, so as to indicate the level of similarity between each of the source and target schemas. The optimal matching selects pairs of nodes between source and target schemas that maximizes the number of nodes matched as well as the overall score of match for the nodes selected.

A touch screen computing apparatus, methods, and software product are provided. In one embodiment, an the computing apparatus provides a plurality of regions on a touch screen that are mapped to functions. In some embodiments, the regions include a keyboard region, a game control region, a mouse region and a stylus region. In some embodiments, the regions are configurable by the processor and mapped with different functionality. This Abstract is provided for the sole purpose of complying with the Abstract requirement rules that allow a reader to quickly ascertain the subject matter of the disclosure contained herein. This Abstract is submitted with the explicit understanding that it will not be used to interpret or to limit the scope or the meaning of the claims.

A method for determining a target location for a therapeutic intervention in a subject with a neurological disorder is disclosed that includes selecting the target location within at least one resting state network (RSN) map according to a predetermined criterion for the neurological disorder. Each of the at least one RSN maps includes a plurality of functional voxels within a brain of the subject, and each functional voxel of the plurality of functional voxels is associated with a probability of membership in an RSN. A method for monitoring an efficacy of a therapeutic intervention in a subject with a neurological disorder is also disclosed that includes comparing at least a portion of at least one pre-treatment RSN map of the subject prior to the therapeutic intervention, at least one post-treatment RSN map of the subject after the therapeutic intervention to determine changes in the at least one post-treatment RSN map. The method for monitoring the efficacy of the therapeutic intervention efficacy also includes determining the efficacy of the therapeutic intervention based on the identified changes according to an efficacy criterion. In addition, a method for selecting a seed region for use in a seed-based cortical functional mapping method is disclosed that includes selecting a contiguous subset of the functional voxels probability of membership in the RSN above a threshold value from at least one RSN map of at least one subject as the seed region.

Provided is a method and apparatus of adding an IEC 61850 configuration interface to an SDN (Software Defined Network) controller, comprising: an SDN controller performing self-inspection, and automatically sending an alarming signal in case of abnormity; searching for interchangers in an intelligent transformer station, establishing a network topology, and performing initialization; performing functional mapping on the SDN controller in dependence on an IEC 61850 communication requirement; defining the operation mode of the SDN controller; and modeling the northbound interface of the SDN controller. The method can apparatus realize the unified control of all intelligent transformer station IED devices, simplify a communication system and a background operation flow, and therefore greatly increase work efficiency.

A configuration for a programmable device is determined to implement an incomplete function using at least two logic cells. Function inputs are partitioned into portions associated with first and second logic cells. The partitioning is screened to determine if it is potentially acceptable by determining if a portion of the function can be implemented using a complete look-up table. If the partitioning of the function inputs is potentially acceptable, the function inputs are assigned to the input ports of the logic cells. Variables are assigned to look-up table locations and a correspondence is determined between function input and output values, the variables, and the look-up table locations. Boolean tautology rules are applied to the correspondence to simplify the variables. If the simplified variables are consistent, a configuration is output that includes assignments of function inputs to input ports and look-up table data based on the simplified variables.

Multiscale brain electrodes can be used for spatiotemporal mapping, probing, and therapeutic modulation of the human brain. The applications for such functional mapping and electrical stimulation modulation span, for example, neurological and psychiatric diseases, and brain rehabilitation.

Control over the movement of packets is exercised by edge nodes of a network mapping the addresses of incoming packets in accordance with a prespecified functional mapping P. Remote sources of packets are provided address information that is mapped with a prespecified functional mapping Q, where mappings P and Q are such that P(Q(j)=j. The mapping change at regular intervals, or upon the occurrence of specified events, and with each change, the communicating the remote source is provided with a different mapped address to be used.

A portable digital audio device is capable of playing a number of different data file types, such as music data files, speech data files, video data files, and the like. Different CODECs are generally used for different data types. The system determines the data file type and selects the appropriate CODEC based on the reported data file type. In addition, the reported data file type is used to select the appropriate media interface manager and appropriate user interface. The user interface, or “skin” is selected for compatibility with the media interface manager and selected CODEC. The appropriate controls are enabled and displayed for user operation. As new CODECs are added to the system, appropriate media interface managers and skins are also added to provide the necessary user interface compatibility.

The present invention extends to methods, systems, and computer program products for forecasting mood changes from digital biomarkers and more generally for forecasting changes in a neuropsychological clinical assessment. User interaction data indicative of a user's interaction with a mobile device is passively captured over a period of time and can include keyboard timings. A function mapping is executed to compute a digital biomarker for a brain health metric from the captured user interaction data. A prior digital biomarker for the brain health metric (computed from previously captured user interaction data by executing the function mapping) is accessed. A difference is detected between the digital biomarker and the prior digital biomarker. A change in a score of the neuropsychological test score is forecast to occur within a specified time range in the future based on the detected differences. The forecast change is output.

The invention relates to a multi-modal image segmenting method based on functional mapping. For an image set comprising a target, the multi-modal image segmenting method comprises the following steps: (1), segmenting an image into superpixel blocks, and representing the superpixel blocks by using different feature descriptors to obtain a multi-modal image representation; (2), establishing a superpixel map on the multi-modal image, and constructing a corresponding Laplacian matrix; (3), representing a reduction functional space of each image, and establishing functional mapping between image pairs; (4), aligning the image functional mapping of each modal to an image thread, and introducing an implicit function to keep consistency between functional mapping; (5), obtaining a functional mapping representation according to the consistency of the multi-modal mapping, and calculating a segmentation function corresponding to an image through combining and optimizing an objective function to obtain an optimal segmentation representation of the image. According to the multi-modal image segmenting method, each target region block of the image can be accurately judged by using a target potential relevance shared between feature representations of different modals of the image and the image, so that the image segmentation performance and effect are enhanced.

Intraoperative functional mapping using an intraoperative thermal imaging system is described. The system enables higher resolution images, faster acquisition speeds, and is non-invasive. The high resolution functional maps can provide physiologic information, prognostic information, and functional network structures to a neurosurgeon in a time efficient manner.

A control device for controlling an electric machine with ks windings on a stator and kr windings on a rotor, where ks+kr=n and either ks or kr may be zero, includes an input for receiving commands, an output for outputting control commands to a driver, machine modeling means for modeling behavior of the machine, and decision means connected to the input, output, and machine modeling means for determining the driver control commands. The machine modeling means models behavior of the machine through functional mapping suited for correlating sets of values of electrical and mechanical quantities, sets of values of their total or partial derivatives and/or integral functions with one another. The functional mapping includes an algorithm and/or equation based on at least one state function associated with the electromagnetic field inside the machine and/or based on at least one partial derivative of the state function.

A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.