37 results about "Functional data analysis" patented technology

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 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.

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.

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.

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.

The maintenance strategy analysis method of instrument control equipment based on technical analysis includes the following steps: S1, defining the analysis boundary: defining the equipment types covered by the maintenance template, the equipment boundary of the equipment and the external interface, and the attribution of the equipment boundary; 2, listing and writing that device information sheet: listing and writing the device-related information analyzed by the analysis boundary defined in the step S1; S3, technical analysis: performing technical analysis on the equipment within the analysis boundary defined in step S1; S4, functional analysis: performing functional analysis on the equipment in the equipment information sheet written in the step S2 column; S5, making a maintenance decision; S6, task comparison and improvement suggestions. The technical analysis of this method is based on the equipment type. According to the equipment working principle and the actual operation and maintenance experience, the preventive maintenance task of the equipment is determined by the equipment failure mode analysis or the modification suggestion is put forward. The equipment reliability analysis is used to determine the appropriate preventive maintenance cycle.

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.

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 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.