34 results about "Functional mapping" patented technology

A method for cortical mapping includes utilizing subdural electrodes as selectable stimulus points in a closed loop system of cortical mapping based on electromyographic detection events. A system for cortical mapping includes a plurality of subdural electrodes formed as a grid, a cortical stimulator for stimulating individual pairs of the plurality of subdural electrodes, and an electromyograph for detecting reaction to the stimulating. The system may include a controller structured for associating the reaction with one of the individual pairs of the plurality of subdural electrodes. The system and method allow quick and accurate functional mapping of an area of the brain, automatic mapping, and essentially realtime feedback for a probe localization process. Use of the system and method provides intraoperative functional localization while reducing a possibility of adverse effects to the patient.

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 structured method of matching schemas that uses multiple levels of ontologies is disclosed. The method maps functions of a target system to a process ontology and maps functions of a source system to the process ontology to produce a first mapping of target functions and source functions using the process ontology. The method identifies target function parameters upon which the target functions operate and identifies source function parameters upon which the source functions operate. Then, the method maps the target function parameters to a concept ontology and maps the source function parameters to the concept ontology to produce a second mapping of the target function parameters and the source function parameters using the concept ontology. This second mapping is enhanced by mapping the target function parameters to a data-type ontology and mapping the source function parameters to the data-type ontology. This produces an enhanced second mapping of the target function parameters and the source function parameters using the data-type ontology. This enhanced second mapping can be the resultant output to be used in subsequent processing.

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 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.

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.

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.

The present invention provides a novel genetic method for mapping a network of functional gene interactions relating to Alzheimer's disease. Further provided by the invention is a screening method lor identifying therapeutic agents for treating Alzheimer's disease.

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.

The invention discloses a component reverse calling platform and a method for inter-component similar group communication. The component can reversely call the functions of the platform or component in the platform through a regional development agency RDA by the steps that: a component calls a COM object in the platform by a COM interface intelligent pointer provided by the platform; and the COM object calls the functions of the platform or component in the platform by functional mapping. The method for the inter-component similar group communication comprises the following steps that: the component sending the data sends the data to a communication agency; an event connecting point in the RDA responds to a calling-back service of the communication agency; and a monitor in the component monitors the event connecting point and acquires the data in the calling-back service. The system based on the method comprises a COM calling module, a COM object module, a function agency module, a communication agency module, a communication agency calling-back service module and an event monitoring module. The component reverse calling platform of the invention can improve development efficiency and lower operating cost of the system; and the similar group communication can lower the network traffic of the 'platform and component' system during the inter-component communication.

A multi-core processor includes a tree-like structure having a plurality of computing cores arranged in hierarchical levels, the cores all having the same logical architecture. Each core can include computing, interconnecting, and / or storage elements. The functionality of an individual element can be supplied by an entire core in a lower level. A method for programming the processor includes hierarchically decomposing an application into interconnected sub-functions, mapping the sub-functions onto groups of cores at appropriate levels of the processor, and interconnecting the mapped sub-functions so as to hierarchically compose the complete application. Sub-functions can be sequential, concurrent, and / or pipelined. Interconnections can be static or dynamically switchable under program control. Interconnect elements can also be used to implement flow control as needed in pipelined operations to maintain data coherency. The decomposing and mapping process can be iterated on sub-functions so as to optimize load balancing, software performance, and hardware efficiency.

The invention discloses a photovoltaic information acquisition device, which comprises a core circuit board; the core circuit board is communicated with a plurality of slave processors on a motherboard through a remote call technology, serial ports and network ports of the slave processors are mapped on the core circuit board; the core circuit board comprises a plurality of embedded processors, a Flash memory and a SRAM (static random access memory); the plurality of embedded processors are connected together by the serial ports, an assigned function of one of embedded processor is mapped onto another embedded processor by embedded RPC (remote procedure call) communication protocol; the plurality of slave processors are connected in a manner of multiprocessor interconnection, and the photovoltaic information acquisition device has the advantages of flexibility, easy expansion, easy transplantation, high safety and high efficiency.

A robot comprising a chopstick, configured for at least four degrees of freedom of movement, a stiff body of shape and proportions approximate to a pool cue; an electromagnetic actuator, comprising a motor, for each degree of freedom of movement coupled with the stiff body, wherein the functional mapping from each actuator's motor current to torque output along an axis of motion is stored, and used in concert with a calibrated model of the robot for effective impedance control; and a 6-axis force / torque sensor mounted inline between the actuators and each chopstick.

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 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.

The invention discloses a method for optimizing the fair allocation of dominant resources in the Internet of Vehicles based on a utility function. Firstly, a utility function with QoS indicators (packet delay and packet loss rate, etc.) as independent variables is constructed; and then the M / D The / 1 queuing model establishes the functional mapping relationship between the QoS index and the number of wireless network resources (bandwidth and cache, etc.); then designs an allocation algorithm for a dominant resource fairness mechanism, aiming at maximizing vehicle user utility, and assisting The user's dominant resources are allocated fairly and reasonably based on user weight priority. The utility function of the present invention can effectively represent the satisfaction degree of the user to the service. By establishing a mapping model for the QoS index and the resource quantity, the user's QoS performance requirement can be converted into the required resource quantity to be allocated. While allocating on-demand, it maximizes user satisfaction with QoS requirements, improves user priority, and maximizes resource utilization.

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.

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.

The invention relates to a conceptual design analysis method for a multidisciplinary complex product. Against the current situation that a design stage of the multidisciplinary complex product lacks the complete modeling processes and analysis methods, the modeling analysis method that supports the whole process of the multidisciplinary complex product conceptual design phase is established through the steps of demand analysis based on a quantization matrix, functional decomposition based on a functional knowledge base, structural function mapping based on interface matching, structural reorganization based on a design structure matrix and SysML-oriented model expression, so that effective analytical ideas and theoretical support are provided for users, to reduce bad design and improve design efficiency.

The invention belongs to the field of plastic processing, in particular to a method for optimizing blanking process parameters. The method comprises the following steps: (1) constructing a punching finite element model to carry out solid modeling of the punching process, the punching finite element model uses a shear modified GTN model to characterize the material damage evolution behavior in the punching process; (2) different The combination of punching process parameters is input into the finite element model, and the target optimization amount is output to obtain multiple sets of punching process parameters and corresponding target optimization amount data to form a database; (3) combine the database, train the artificial neural network model to obtain the target optimization The functional mapping relationship between the quantity and the punching process parameters is used to construct the target optimization quantity prediction model. The invention has the characteristics of high prediction accuracy, fast response speed, strong operability, etc., can accurately predict the influence of multiple process parameters coupling on the punching process, and optimize the process parameters.

The invention relates to a difference frequency hopping communication method based on the correlation capture of an m sequence, belonging to the field of digital communication and comprising the following steps: setting m sequence data, deserializing, carrying out G functional mapping, generating a baseband frequency wave form, and carrying out intermediate frequency filtering and emission processing in the launch flow; receiving and processing signals, generating the baseband frequency wave form, carrying discrete acquisition, carrying out time / frequency signal transformation, decoding, carrying out correlation processing, judging capture, separating data, carrying out serial conversion processing, and outputting in the receiving flow. The invention has the characteristics of effective capture probability enhancement, false alarm rate reduction, capture time shortening, effective intercept resistance and anti-interference performance enhancement of a system and the like because the invention firstly transmits the m sequence data inserted with random numbers in a uniformly spaced mode and carrying out the G functional mapping processing of the m sequence data and serial Bit data on a transmitting terminal, and eliminates the random numbers through Viterbi decoding and carries out the correlation capture processing on the m sequence after time / frequency signal conversion on a receiving terminal.

The invention provides a method for a QTL framework of tree quantitative traits based on a Richards equation, and belongs to the technical field of bioinformatics analysis. The method comprises the following steps: fitting a growth curve of quantitative characters of trees by utilizing a Richards growth equation to obtain Richards estimation parameters of the quantitative characters, and obtaining structural parameters of an SAD (1) model according to a correlation of character phenotypes along with time; performing functional mapping according to the difference of the growth parameters between the genotypes, and screening significant QTLs for regulating and controlling the quantitative trait growth of the trees; and calculating a significant QTL genetic effect value and heritability, establishing a regulatory structure network between QTLs, and identifying and explaining key regulatory QTLs in a tree quantitative trait growth process. The method provided by the invention has strong biological significance and high positioning precision, and the established genetic effect regulation network provides an effective method for genetic structure analysis, so that the character growth analysis is more comprehensive.