38 results about "Functional data analysis" patented technology

A cardiovascular imaging and functional analysis system and method is disclosed, wherein a dedicated fast, sensitive, compact and economical imaging gamma camera system that is especially suited for heart imaging and functional analysis is employed. The cardiovascular imaging and functional analysis system of the present invention can be used as a dedicated nuclear cardiology small field of view imaging camera. The disclosed cardiovascular imaging system and method has the advantages of being able to image physiology, while offering an inexpensive and portable hardware, unlike MRI, CT, and echocardiography systems.The cardiovascular imaging system of the invention employs a basic modular design suitable for cardiac imaging with one of several radionucleide tracers. The detector can be positioned in close proximity to the chest and heart from several different projections, making it possible rapidly to accumulate data for first-pass analysis, positron imaging, quantitative stress perfusion, and multi-gated equilibrium pooled blood (MUGA) tests..In a preferred embodiment, the Cardiovascular Non-Invasive Screening Probe system can perform a novel diagnostic screening test for potential victims of coronary artery disease. The system provides a rapid, inexpensive preliminary indication of coronary occlusive disease by measuring the activity of emitted particles from an injected bolus of radioactive tracer. Ratios of this activity with the time progression of the injected bolus of radioactive tracer are used to perform diagnosis of the coronary patency (artery disease).

A Cardiovascular imaging and functional analysis system and method employing a dedicated fast, sensitive, compact and economical imaging gamma camera system that is especially suited for heart imaging and functional analysis. The system uses a dedicated nuclear cardiology small field of view imaging camera, allowing image physiology, while offering inexpensive and portable hardware. In some variations, a basic modular design suitable for cardiac imaging with one of several radionucleide tracers is used. The detector is positioned in close proximity to the chest and heart from several different projections, allowing rapid accumulation of data for first-pass analysis, positron imaging, quantitative stress perfusion, and multi-gated equilibrium pooled blood tests. In one variation, a Cardiovascular Non-Invasive Screening Probe system provides rapid, inexpensive preliminary indication of coronary occlusive disease by measuring the activity of emitted particles from an injected bolus of radioactive tracer.

A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.

In one or more embodiments of the invention, functional data analysts may use a functional data authoring module to capture functional metadata in a consistent manner. Conflict reports for the business processes may be generated for a subset of the business processes or as an overall report across all business processes. One or more embodiments of the invention may provide early detection of data usage and type conflicts from functional data requirements, automated detection of conflicts from functional data requirements, reports listing detected conflicts, conflicts resolution tracking mechanism, ongoing notification regarding changes in functional data requirements or detected conflicts, and avoidance of conflicting functional requirement in the realization phase, thereby reducing costs and project risks and avoiding project delays.

Functional coverage techniques during design verification using cross-product coverage models and hole analysis are enhanced by the use of coverage queries. After running a test suite, a core set of non-covered events is specified. A coverage query is then automatically constructed and executed on the test results to identify a hole in the functional coverage that satisfies conditions of the coverage query and includes the core set. The results of the query are presented as a simplified view of the coverage of the events in the cross-product space. Use of coverage queries allows a verification team to focus on specific areas of interest in the coverage space and to deal practically with highly complex coverage models. It also avoids the burden of producing and evaluating complete hole analysis reports.

The invention discloses a medium-and-long term typical daily load curve prediction method based on function type nonparametric regression which comprises the following steps: according to an existing historical daily load curve, based on a functional data analysis theory and a nonparametric kernel density estimation method, establishing a functional nonparametric regression prediction model; and by considering a daily load factor and a minimum load factor of a typical day to be predicted, establishing a quadratic programming model to correct a prediction curve of the functional nonparametric regression prediction model, and finally, obtaining the prediction curve meeting a load characteristic index requirement of the typical day to be predicted. A simulation example based on typical daily load data of a certain provincial power grid in China and PJM (Pennsylvania-New Jersey-Maryland) electric power company in America proves that the method disclosed by the invention is simple and practical, and is accurate in prediction result. The method has a god popularization value and application prospect.

The invention provides a simulation model verification method based on functional data analysis, and belongs to the field of simulation model verification. According to the method, output of a simulation model and output of a real system are regarded as two random processes, weighting functions are added to construct aggregative indicators, and the correlation coefficient of the two aggregative indicators is used for describing the output correlation of the simulation model and the real system. The method includes the steps that simulation data and real data are recorded first, data fitting is conducted, then a set of primary functions are selected, the fitting function and the weighting functions are expanded through the same base, and an equation is constructed to solve the correlation coefficient. According to the simulation model verification method, the condition limits in a traditional method can be avoided, the number of depending assumed conditions is small, the depending structural constraints are weak, the model estimability is improved, data analysis support is provided for simulation model verification, and it is guaranteed that the simulation model verification work can be conducted smoothly.

A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one anatomical substructure and more than one constituent tissue type; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit is configured to store a parcellation atlas comprising spatial information of the at least one substructure in the tissue region, wherein the signal processing system is adapted to: reconstruct an image of the tissue region based on the imaging signal; parcellate, based on the parcellation atlas, the at least one anatomical substructure in the image; segment the more than one constituent tissue types in the image; and automatically identify, in the image, a portion of the at least one anatomical substructure that correspond to one of the more than one constituent tissue type.

In one or more embodiments of the invention, functional data analysts may use a functional data authoring module to capture functional metadata in a consistent manner. Conflict reports for the business processes may be generated for a subset of the business processes or as an overall report across all business processes. One or more embodiments of the invention may provide early detection of data usage and type conflicts from functional data requirements, automated detection of conflicts from functional data requirements, reports listing detected conflicts, conflicts resolution tracking mechanism, ongoing notification regarding changes in functional data requirements or detected conflicts, and avoidance of conflicting functional requirement in the realization phase, thereby reducing costs and project risks and avoiding project delays.

A system (IPS) and related method for fractional flow reserve, FFR, simulation. The simulation for a range of FFR values for a vasculature portion is based on a composite transfer function which is combined from a weighted sum of global effect transfer functions he, each representing a distinct physical effect that causes a pressure drop. The weights we are gotten from a previous training phase against pressure pi versus flow rate fi 5 sample measurements associated with respective vasculature geometries. The simulated range of FFR values is visualized in a graphics display (GD) as a function of pressure and flow rate values within respective intervals.

The invention discloses a water flow time lag processing method for cascade reservoir short-term optimal scheduling. The water flow time lag processing method comprises the steps of deducing a time lag functional operator and utilizing the time lag functional operator to conduct cascade reservoir short-term optimal scheduling calculation. In the deduction step of the time lag functional operator,upstream and downstream reservoir inflow and outflow and local inflow data based on actual measurement are given on the basis of big data analysis, functional analysis and a space mapping principle toobtain the time lag functional operator is obtained. In the cascade reservoir short-term optimal scheduling calculation step, a globally optimal solution of short-term optimal scheduling is obtainedthrough effectively combining the time lag functional operator with dynamic planning. The water flow time lag processing method for cascade reservoir short-term optimal scheduling overcomes the defects that parameters are difficult to calibrate and errors are great of the traditional time lag processing method, and has high practicability.

The invention belongs to the technical field of nuclear power design, particularly relates to a functional analysis method of the general operation control display of a nuclear power plant adopting a digital man-machine interface. The method comprises the following steps that a main control functional module in general operation is designed through general operation requirement analysis and functional analysis; and monitoring and control information required for the main operation steps in the main control functional module is reasonably and effectively organized and integrated, and the functional display of the general digital operation control of the main control functional module is developed. Due to the adoption of the functional analysis method of the general operation control display of the nuclear power plant adopting the digital man-machine interface, an operator can conveniently acquire the states of equipment and parameters which are operated or monitored and comprehensively understand the upstream and downstream when in general operation, so that the actuation efficiency is improved, the artificial failure is reduced, and the burden of the operator is reduced.

A system (IPS) and related method for fractional flow reserve, FFR, simulation. The simulation for a range of FFR values for a vasculature portion is based on a composite transfer function which is combined from a weighted sum of global effect transfer functions he, each representing a distinct physical effect that causes a pressure drop. The weights we are gotten from a previous training phase against pressure pi versus flow rate fi 5 sample measurements associated with respective vasculature geometries. The simulated range of FFR values is visualized in a graphics display (GD) as a function of pressure and flow rate values within respective intervals.

The invention belongs to the field of iron and steel metallurgy, and particularly relates to a real-time prediction method for carbon content and temperature of a molten pool for converter steelmakingin the whole process. The real-time prediction method includes the following steps that raw material data, smelting process data and molten pool carbon content and temperature information data of a plurality of historical heats are obtained; the obtained data and the raw material data are fitted and converted into functional data, both response variables and concomitant variables are selected asfunctional data models for training, a functional molten pool temperature prediction model and a functional molten pool carbon content prediction model are obtained, and converting real-time data aresent to the functional molten pool temperature prediction model and the functional molten pool carbon content prediction model to get predicted values. A model which can be used for predicting the carbon content and temperature of the molten pool in real time in the whole process of smelting is established by means of functional data analysis, the internal rules of the raw material data and the smelting process data are fully excavated, and the real-time prediction method has good adaptability to an actual production process and good accuracy and can replace traditional carbon content and temperature prediction methods.

In one or more embodiments of the invention, functional data analysts may use a functional data authoring module to capture functional metadata in a consistent manner. Conflict reports for the business processes may be generated for a subset of the business processes or as an overall report across all business processes. One or more embodiments of the invention may provide early detection of data usage and type conflicts from functional data requirements, automated detection of conflicts from functional data requirements, reports listing detected conflicts, conflicts resolution tracking mechanism, ongoing notification regarding changes in functional data requirements or detected conflicts, and avoidance of conflicting functional requirement in the realization phase, thereby reducing costs and project risks and avoiding project delays.

The invention relates to an operation service system, especially to an alarm operation service system. Necessary real-time alarm video signals are provided, and detailed alarm information is stored and managed. A digital alarm network system of special virtual network is constructed by utilizing complete network coverage of a telecommunication service provider as well as VPN technology, and the system is characterized by being flexible to expand and convenient to maintain and including multiple distributed centers. Network storage technology of IP configuration is used to realize distributed mass network storage; information management of the system includes the aspects of graded information management, information transmission manner, access safety management, a data sharing function, a data analysis method, a data search method and the like; the system serves as functional extension of an alarm operation management software platform; and the system makes progress in the technical field, and is good in enforcement effect.

The invention provides a functional network analysis system and method for a complex network. The functional network analysis system includes a multiple signal source measuring unit, a self-adaptive signal disassembling functional unit and an inter-band coupling analysis unit, wherein the multiple signal source measuring unit, the self-adaptive signal decomposition functional unit and the inter-band coupling analysis unit are connected in sequence; the functional network analysis system further includes a functional network analysis unit, wherein the functional network analysis unit is connected with the inter-band coupling analysis unit. According to the functional network analysis system and method for the complex network, an empirical mode decomposition method is adopted to serve as a basis of data processing, so that the functional network analysis system and method are suitable for decomposition of non-linear and unstable data in the complex network, and dynamic characteristics offunctional network links among different frequency bands in the complex network can be reflected.

The invention discloses a method for extracting related posterior cingutate function connectivity characteristics of a type 2 diabetes patient with cognitive impairment. The method comprises the following specific steps: sample personnel collection, medical history and biological characteristic measurement, cognitive assessment, MRI data collection, small vessel disease assessment, functional dataanalysis, statistical analysis, head movement analysis, functional connection analysis and correlation analysis. According to the invention, the weak FC of the PCC to a plurality of brain regions ismore accurately verified to be related to the cognitive impairment of a T2DM patient; and the FC pathways of the PCC may be used as biomarkers to further reveal a biological mechanism in the potentialneuropathological process of T2DM-related cognitive impairment, and may provide evidence for further molecular biological research.

A system and method for performing a timing analysis on virtual component blocks or other circuit models is provided wherein functional information obtained from the circuit's control inputs and their useful combinations is used to improve accuracy. The control inputs and data inputs for a circuit block are identified. Each functionally meaningful or useful control input combination is applied to the circuit block, and the topological delay for the data inputs are determined only along the paths that are not blocked by the control inputs. The delays along paths that are blocked are ignored. The analysis is further augmented by determining the topological delay for all paths originating at control inputs, without regard to blocking of paths, so as to reduce the chance for possible underestimation of delays from the data inputs. A final timing model may include the combination of maximum delays along data paths for each combination of control inputs, and maximum delays along paths originating from each of the control inputs. The delay analysis may account for different input slews and load capacitances, and the results may be expressed in tabular or matrix form. A useful technique for condensing time delay information (whether scalar or tabular in form) is also provided, to simplify timing characterization of a virtual component block or circuit model. Delay tables or matrixes that are “close” (i.e., within a specified tolerance) may be combined into a single table or matrix.

A method, system, and computer program product to integrate functional analysis and common path pessimism removal (CPPR) in static timing analysis include determining initial path slack for a path for a given timing analysis test. The method also includes comparing the initial path slack with a threshold value to determine if the path passes or fails the given timing analysis test, and based on the path failing the given timing analysis test, performing the functional analysis on the path only based on performing the CPPR on the path, or performing the CPPR on the path only based on a result of performing the functional analysis on the path.

Programmable devices include configurable logic hardware for implementing logic gates, registers for storing data, and secondary hardware for additional functions, such as loading and clearing. The secondary hardware can implement portions of the user design, thereby decreasing the number of gates to be implemented elsewhere. A set of possible alternative implementations of portions of the user design is identified by enumerating the inputs connected with a register. Logic diagrams are created for the set of inputs, and alternative implementations are identified from the logic diagrams by recognizing patterns similar to the secondary hardware functions. To determine an implementation that balances gate savings against routing costs, alternative implementations are grouped according to compatible inputs and ranked by the number of registers in each group. The implementation with the highest rank is selected, and selected registers are removed from other alternative implementations. The remaining alternative implementations are re-ranked for further selections.

The invention discloses a medium-and-long term typical daily load curve prediction method based on function type nonparametric regression which comprises the following steps: according to an existing historical daily load curve, based on a functional data analysis theory and a nonparametric kernel density estimation method, establishing a functional nonparametric regression prediction model; and by considering a daily load factor and a minimum load factor of a typical day to be predicted, establishing a quadratic programming model to correct a prediction curve of the functional nonparametric regression prediction model, and finally, obtaining the prediction curve meeting a load characteristic index requirement of the typical day to be predicted. A simulation example based on typical daily load data of a certain provincial power grid in China and PJM (Pennsylvania-New Jersey-Maryland) electric power company in America proves that the method disclosed by the invention is simple and practical, and is accurate in prediction result. The method has a god popularization value and application prospect.

The invention discloses a method for predicting the remaining life of rotating machinery based on FDA and SVDD. The method uses a functional data analysis (FDA) method to convert the collected discrete data into a smooth function to solve the loss of information or the distortion of model estimation. and other issues, using SVDD to identify mechanical operating conditions to reduce the need for sample collection and provide prediction accuracy, calculate the SVDD model radius of the test sample and compare it with the time radius trajectory of the entire life cycle to obtain prediction results. The invention effectively reduces the sample collection time required for the prediction of the remaining life of the rotating machinery, and improves the prediction accuracy.

The present invention discloses a data collection and multi-functional analysis system, and relates to the computer data collection technology field. The system comprises an upper computer, a main control module, a collection module, a conditioning module, a communication module and a storage module. The main control module is connected with the collection module and the storage module through signals and is connected with the upper computer through the communication module, and the conditioning module is in signal connection with the collection module and the main control module. The data collection and multi-functional analysis system is convenient to operate and flexible to use so as to improve data transmission efficiency and data processing capability and ensure comprehensiveness of system data processing.

The invention discloses a rotating machinery remaining life prediction method based on FDA and SVDD. The method is characterized by converting collected discrete data into a smooth function through a functional data analysis (FDA) method to solve the problems of information loss or model estimation distortion and the like, identifying machinery operation state through SVDD to reduce sample collection requirement and provide predication accuracy, and calculating radius of an SVDD model of a test sample and comparing the radius with a full life cycle time radius track to obtain a predication result. The method effectively reduces sample collection time required in predication of the remaining life of rotating machinery, and improves prediction accuracy.

The invention discloses a method and system for automatic verification of domain name configuration, belonging to the technical field of computers. The method includes: for each acceleration domain name, an information collection layer periodically obtains all accesses required for verifying the function of the acceleration configuration of the acceleration domain name information, and upload all access information to the data analysis layer; when receiving the function verification command, the data analysis layer determines the target acceleration configuration of the target domain name according to the function verification command; for the target function of the target acceleration configuration, the data analysis layer determines the target function The corresponding target verification scheme extracts target access information from all the received access information of the target domain name based on the target verification scheme; the function verification layer verifies the target function based on the target verification scheme and target access information provided by the data analysis layer. By adopting the present invention, the function verification efficiency and verification accuracy rate of domain name configuration can be improved, and the impact on its business during the implementation process of accelerated service change can be reduced.

The invention discloses a computer-aided system and method for human health life cycle preventive maintenance, and relates to the technical field of artificial intelligence. Comprising a human body health function data analysis and evaluation system, a human body digital twin system, a deep neural network analysis system, a human nutrition food recommendation system, a data storage system, a cloud computing platform system, a user graphical interface system and a data collection system. Whether the human body has potential diseases or diseases can be predicted, the human body function is analyzed according to the data in the back-end data warehouse, whether the human body has potential diseases or diseases or not is predicted, warning and suggestions are provided for preventive measures, and the purpose of preventive maintenance of the human body health life cycle is achieved.

The invention discloses a feature extraction method of posterior cingulate gyrus functional connectivity related to patients with type 2 diabetes mellitus cognitive impairment. Evaluation of small vessel disease, functional data analysis, statistical analysis, head movement analysis, functional connectivity analysis and correlation analysis, the present invention more accurately verifies the weak functional connectivity of the posterior cingulate cortex to multiple brain regions and type 2 These functional connectivity pathways in the posterior cingulate cortex may serve as biomarkers to further reveal the biological mechanisms underlying the neuropathological process of type 2 diabetes-associated cognitive impairment, and May provide evidence for further molecular biology research.