52 results about "Systematic mapping" patented technology

A machine learning system configured to map an input data instance to an output according to a system mapping. The system mapping may be composed from multiple functions. A latent input vector may be determined in a second latent space for the input data instance, from latent reference vectors related to a number of reference data instances identified as parents.

A computer-implemented method for transferring a knowledge corpus from a first machine to a second machine is provided. The method compares a digital twin model of the first machine to the second machine and identifies, based on the comparison, whether a transfer of the knowledge corpus is possible. If a transfer of the knowledge corpus is possible, the method maps the knowledge corpus of the first machine with input and output systems of the second machine. If a transfer of the knowledge corpus is not possible, the method identifies how functions of the first machine and the second machine are performed and controlled. The method then generates hierarchical functional digital twin models of the first machine and the second machine based on the identified functions. The method further transfers the mapped knowledge corpus of the first machine with the input and output systems of the second machine.

The invention relates to the technical field of intelligent robots, in particular to a virtual-real combined mechanical arm-dexterous hand system mapping operation and sample collection method. Comprises: configuring a mapping operation system; collecting the tail end position and posture information of the tail end of the forearm of the operator in real time based on the teleoperation device; acquiring three-dimensional information of key points of hands of an operator in real time based on a camera; a mechanical arm tail end mapping value is calculated according to the tail end position and the posture information; calculating a joint mapping value of the dexterous hand according to the three-dimensional information of the key points; and the mechanical arm and the dexterous hand are driven to move in real time according to the mechanical arm tail end mapping value and the dexterous hand joint mapping value, real-time data of all joints in the mapping operation process and observation images in the operation process are recorded, and sample collection is completed. The embodiment of the invention provides a virtual and real combined mechanical arm-dexterous hand system mapping operation and sample collection method, which can be used for carrying out mechanical arm-dexterous hand system mapping operation and sample collection.

Systems, computer program products, and methods are provided for code revision impact analysis. The method includes generating a system map based on data received from a plurality of network devices; receiving a data transmission including a text file; processing the text file via a natural language processing engine, where an output of the natural language processing engine comprises a plurality of expected updates; determining, based on the system map, at least one downstream effect of the plurality of expected updates; and performing a remedial action.

The invention discloses a model-based human factor analysis integrated modeling method and system. The method comprises the following steps: establishing an operation task list from a stakeholder perspective by using an operation concept analysis method; constructing a task scene case based on the operation task list and a SysML modeling language; human factor task analysis is carried out based on the task scene use case, the operation task list and the interaction relation, and human factor requirements related to the task are identified; a task, demand and system mapping table is formed based on the SysML modeling language, and a task and demand integrated model is obtained; and carrying out satisfaction verification on the task and demand integrated model by adopting professional human factor analysis software, and taking the task and demand integrated model passing the verification as a human factor analysis integrated model. According to the method, human factor task and demand modeling is carried out on the SysML modeling language, system engineering and human factor engineering are closely linked together, and the problems that in the complex system design process, human factor problems are not fully considered, and the human factor problem iteration period span is long are solved.

The invention provides an industrial control level configuration software system and method based on two-dimensional and three-dimensional linkage. The industrial control level configuration software system and method are suitable for various engineering scenes such as industrial automation and intelligent buildings. The system comprises a modular component deployment module, a point location import and matching module, a drawing and model analysis module, a two-dimensional and three-dimensional linkage view management module, an equipment point location confirmation module, a communication simulation test module, a mapping learning optimization module and other functional modules. By importing a two-dimensional CAD drawing and a three-dimensional BIM model, automatic matching and visual binding of equipment components and point location data are achieved; and an AI auxiliary matching algorithm and a template multiplexing mechanism are combined, so that the configuration efficiency and accuracy are improved. And meanwhile, joint debugging testing and result graphical feedback are supported, and the authenticity and stability of system mapping are ensured. According to the method, cross-platform configuration, intelligent component identification and engineering knowledge precipitation can be realized, and the method has relatively high universality and expandability.

The invention relates to the technical field of BIM model and Iot device mapping, in particular to a BIM model and Iot device automatic mapping method and system based on a graphic engine, and the mapping method comprises the steps: marking an Iot device identifier and an Iot device size for a two-dimensional CAD drawing; and creating a three-dimensional BIM model according to the CAD drawing. And importing the CAD drawing and the three-dimensional BIM model into a graphic engine. And converting the Iot device and the Iot device identifier corresponding to the single-layer two-dimensional CAD drawing into a three-dimensional BIM graphic element. And selecting Iot equipment which needs to be mapped. And carrying out space matching operation based on the selected Iot equipment. The Iot equipment identification mapping method solves the problems that an Iot equipment identification mapping method at the present stage is complex in operation, low in efficiency, high in cost, low in precision, difficult in secondary updating and the like.

The present disclosure relates generally to data extraction of complex documents and, more particularly, to systems, processes and computer program products configured to automatically extract unstructured data from complex documents and perform table understanding on the extracted data. For example, the method includes: detecting, by the computer system, one or more tables within a digitized document; classifying, by the computer system, the one or more detected tables into at least a first table type; identifying, by the computer system, headers within the first table type; extracting, by the computer system, data within the headers and body cells of the first table type; and mapping, by the computer system, a relationship between the extracted data within the headers and the body cells.

The present disclosure relates generally to data extraction of complex documents and, more particularly, to systems, processes and computer program products configured to automatically extract unstructured data from complex documents and perform table understanding on the extracted data. For example, the method includes: detecting, by the computer system, one or more tables within a digitized document; classifying, by the computer system, the one or more detected tables into at least a first table type; identifying, by the computer system, headers within the first table type; extracting, by the computer system, data within the headers and body cells of the first table type; and mapping, by the computer system, a relationship between the extracted data within the headers and the body cells.

Machine learning system. Some embodiments are directed to a machine learning system configured to map an input data instance to an output according to a system mapping. The system mapping may be composed of a plurality of functions. A potential input vector in a second latent space ( ) for the input data instance may be determined from a potential reference vector associated with a plurality of reference data instances identified as parents.

The invention discloses a PLC port mapping system and method and a related device, and relates to the field of industrial automation, and the system comprises a PLC body; the PLC body is provided with a plurality of ports; the mapping module is used for automatically mapping the standby port into a damaged port when the port is detected to be damaged; the configuration software is used for a user to configure a mapping relation of the mapping module; and the storage module is used for storing the mapping relation configured by the user. According to the invention, quick response can be ensured when the port fails, so that stable operation of the system is ensured.

The present invention discloses a method for mapping the dynamic stress and predicting the efficiency of a turbine runner, which relates to the technical field of monitoring and evaluating the operation of hydraulic machinery. It is used to solve the problem of lack of systematic mapping and tracking of the dynamic stress changes of the turbine runner under different operating conditions. By obtaining the operating parameters and environmental data of the turbine, the turbine operating conditions are classified according to the environmental data, and the corresponding operating parameters are selected based on the classification results to analyze the dynamic stress characteristics of the runner. At the same time, the turbine attribute data is collected to make a preliminary estimate of the operating efficiency. Multiple detection time points are set to collect the water pressure entering the turbine, and the water pressure fluctuation is calculated based on this. The operating resistance index is further calculated in combination with the dynamic stress characteristics of the runner. The real-time temperature of the water pressure is detected, and the temperature data and the resistance index are combined to conduct a secondary evaluation and prediction of the turbine operating efficiency, thereby achieving an accurate prediction of the turbine efficiency.

The invention relates to the technical field of computer vision and electric digital data processing, and discloses a visual pose sequence optimization processing method based on data driving. In order to solve the problems of instruction oscillation and slow convergence caused by the fact that visual observation data of a controlled object is easily interfered by high-frequency noise under a complex working condition, the method comprises the following steps: firstly, extracting a noisy original target feature point coordinate; fusing system prior prediction and a Kalman dynamic gain matrix to carry out denoising so as to output a net visual error; according to the net visual error and the change rate thereof, adaptively adjusting the length of a historical data interception window and constructing a local data subset; constructing a least square model with numerical regularization constraint based on the data subset, and solving a current optimal pose adjustment instruction; and finally, converting the instruction into a digital driving parameter to guide the closed-loop action of the terminal. The method effectively filters observation noise, gets rid of dependence on an accurate system mapping model, and improves convergence stability in a complex environment.

The present invention relates to the technical field of intelligent robots, and particularly relates to a mapping operation and sample acquisition method for a virtual-real combined robotic arm-dexterous hand system. The method includes: configuring a mapping operation system; based on a teleoperation device, real-time collecting the end position and attitude information of the end of the operator's forearm; based on a camera, real-time collecting the three-dimensional information of the key points of the operator's hand; calculating the mapping value of the end of the robotic arm according to the end position and attitude information; calculating the mapping value of the dexterous hand joints according to the three-dimensional information of the key points; driving the robotic arm and the dexterous hand to move in real time according to the mapping value of the end of the robotic arm and the mapping value of the dexterous hand joints, and recording the real-time data of each joint and the observed images during the operation process of the mapping operation to complete sample acquisition. The embodiment of the present invention provides a mapping operation and sample acquisition method for a virtual-real combined robotic arm-dexterous hand system, which can perform the mapping operation and sample acquisition of the robotic arm-dexterous hand system.

This invention discloses a tag-based task processing method, apparatus, system, and medium. The method includes: responding to a user-inputted task tag, obtaining and displaying a list of candidate systems associated with the task tag from a preset system mapping table; responding to a user-inputted selection operation, confirming a target system in the candidate system list; obtaining the address of the target system, and jumping to the target system based on the address for task processing. By displaying candidate systems associated with user-inputted task tags, users can conveniently and efficiently select a target system from the candidate system list and jump to it for corresponding task processing. This allows users to quickly jump to the corresponding system by focusing on tags related to the task content throughout the project development lifecycle, without having to input the addresses of different systems one by one, effectively improving task processing efficiency.

A communication system, method, and apparatus are provided. The communication system includes a first edge cloud deploying first group of user service nodes (USNs) that form a hash ring corresponding to the first edge cloud and a second edge cloud deploying a second group of USNs that form a hash ring corresponding to the second edge cloud. A USN is configured to provide a service for a terminal device corresponding to the USN. The communication system may further include a mapping system including one or more distributed mapping nodes that store information about the USNs on the first and second edge cloud. The information about a USN includes identification information of the USN and identification information of the terminal device corresponding to the USN. When the mapping system includes a plurality of distributed mapping nodes, the mapping nodes form one or more hash rings corresponding to the mapping system.

The invention discloses a flight skill assessment method, device and equipment for a pilot and a medium, and relates to the field of flight skill assessment, and the method comprises the steps: obtaining a flight parameter time sequence in a flight task process; determining pilot ability dimension estimated values according to the speed, the height, the change rate of the accelerator position, the pitch angle, the roll angle and the course angle in the sequence and the change characteristics of the sequence; determining an aircraft performance utilization dimension estimated value according to the speed, height and overload in the sequence; and respectively carrying out normalization and weighted summation on each index in the pilot capability dimension estimated value and the aircraft performance utilization dimension estimated value to obtain a flight technology evaluation index of the pilot. According to the method, the systematic mapping relation is established between the flight parameters and the manipulation behaviors and tactical decision-making ability of the pilot, the flight ability of the pilot is converted into computable and comparable structured indexes, and the effect of quantitatively evaluating the flight technology of the pilot by using the flight parameters is improved.

Provided are a method and a system for detecting data loss errors in a cyber-physical system based on a Petri net. 【Solution means】The method first includes steps of mapping a cyber-physical system to a Petri net with data to generate a merging process, optimizing events and conditions in the merging process based on deletion rules to obtain an optimized merging process, determining whether each event in the optimized merging process is a lost event, and outputting a set of events of data loss errors. By optimizing the merging process based on deletion rules, the complexity of the model can be reduced, a detection algorithm for data loss errors can be designed, data loss errors in the cyber-physical system data stream can be detected, and the design accuracy of the cyber-physical system can be verified.

The application relates to the technical field of knowledge graph, and particularly provides a strabismus three-dimensional mapping method and system based on a knowledge graph, which comprises the following steps: taking a starting point space coordinate, a patient corneal reflection point offset and an eyeball rotation center coordinate as attribute values of an entity node, establishing a directed connection edge between nodes according to a fixed attachment relationship between muscles and eyeballs and between muscles and bone walls in anatomy, and constructing an initial heterogeneous graph by all entity nodes and the directed connection edge; weighting and aggregating attribute values of neighborhood nodes connected by the directed connection edge of each node in the obtained initial heterogeneous graph to obtain an aggregated feature vector of the node; and mapping all node coordinates in each obtained sub-graph to a unified three-dimensional coordinate system, and adjusting the relative positions between the sub-graphs so that all positioning base points are located on a plane. The application realizes systematic mapping and pathological posture analysis of three-dimensional space configurations of eye external muscles of a strabismus patient.

A computer-implemented design method includes creating a first elaborated design of an electronic system having a set of valid mode combinations, creating a second elaborated design of the system, creating a first system map from the first elaborated design, and creating a second system map from the second design. The method is implemented using a design tool. In some embodiments, the design tool includes a trained machine learning model. The first system map includes an address map for each valid mode combination of interest, and the second system map includes an address map for each valid mode combination of interest. If the first and second system maps are not equivalent, the second elaborated design is corrected prior to running a simulation on the second elaborated design.

The invention relates to a method (100) for enabling a positioning procedure, comprising the following steps at a device (10) in a communications network (1): - Determining (101) a position (52) and an orientation of an antenna (11) in relation to a reference point (51) and / or a reference mapping system (50) for the device (10), wherein the reference point (51) of the device (10) is defined by a reference position (51) based on the reference mapping system (50), - Mapping (102) the orientation of the antenna (11) in relation to an orientation of the device (10), wherein the orientation of the device (10) is specified by an orientation information based on the reference mapping system (50), - Generating (103) a message comprising the determined position and the mapped orientation of the antenna (11) of the device (10), - Transmitting (104) the message to at least one further entity (20) in the communications network (1) to enable a positioning procedure.

The application relates to the technical field of BIM model and Iot device mapping, in particular to a BIM model and Iot device automatic mapping method and system based on a graphics engine, and the mapping method comprises the following steps: marking Iot device identification and Iot device size on a two-dimensional CAD drawing; creating a three-dimensional BIM model according to the CAD drawing; importing the CAD drawing and the three-dimensional BIM model into a graphics engine; converting the Iot device and the Iot device identification corresponding to the single-layer two-dimensional CAD drawing into three-dimensional BIM graphic elements; selecting Iot devices that need to be mapped; and performing space matching operation based on the selected Iot devices. The method solves the problems of complex operation, low efficiency, high cost, low precision and difficult secondary update of the current Iot device identification mapping method.

A communication method and an apparatus, relating to the technical field of communications and capable of enabling an associated AP MLD and a second AP MLD to perform DAPS transmission on the basis of a global sequence number, and allowing the associated AP MLD and the second AP MLD to respectively perform aggregation and deaggregation operations of an A-MSDU, thereby lowering the complexity of implementation of DAPS transmission and improving communication performance. The method comprises: an associated AP MLD acquires first information and sends, on the basis of the first information, second information to a second AP MLD corresponding to a non-AP MLD and used for DAPS transmission; and on the basis of the second information, the associated AP MLD sends, to the non-AP MLD by means of DAPS transmission, a PPDU formed on the basis of a first MSDU, wherein the first MSDU is an MSDU comprising a global sequence number. The first information comprises an MSDU of the non-AP MLD, and TID of the MSDU; the second information comprises an MSDU, TID, and a global sequence number allocated by the associated AP MLD to the MSDU comprising TID; the associated AP MLD is a first AP MLD corresponding to mapping of a distributed system; and the first AP MLD and the second AP MLD perform DAPS transmission on the basis of the global sequence number.

The invention discloses a chronic nasosinusitis auxiliary typing method based on radiomics data and related equipment. The method comprises the following steps: acquiring paranasal sinus radiomics data, clinical feature data and biological sample analysis result data of a chronic sinusitis patient; dividing the paranasal sinus radiomics data into a plurality of image clustering categories by adopting an unsupervised clustering algorithm, and associating clinical feature data and biological sample analysis result data corresponding to different image clustering categories respectively; and analyzing clinical feature data differences and biological sample analysis result data differences among different image clustering categories, and constructing a systematic mapping relationship between the image clustering categories and clinical pathological typing so as to carry out chronic sinusitis auxiliary typing. The problems that in typing research of chronic nasosinusitis, traditional intrinsic typing needs to depend on complex and expensive biological sample examination, generalizability is not high, and sampling cannot completely reflect individual heterogeneity of patients and is invasive can be solved.

Disclosed herein is a medical system (100, 300, 500, 600) comprising: a medical imaging system (102, 302) configured to acquire medical imaging data (136) descriptive of a subject (110); a camera system (114) configured to acquire a subject image (138) of the subject; a memory (126) storing machine executable instructions (130), medical imaging system commands (134), and a coordinate system mapping, and an image marking neural network (132). Execution of the machine executable instruction by a computational system (120) causes the computational system to: acquire (200) the medical imaging data by controlling the medical imaging system with the medical imaging system commands; repeatedly (202) control the camera system to acquire the subject image during acquisition of the medical imaging data; repeatedly (204) receive camera system coordinates (142) of the virtual fiducial markers by inputting the subject image into the image marking neural network; and repeatedly (206) provide imaging system coordinates of the set of virtual fiducial markers by repeatedly converting the camera system coordinates of the virtual fiducial markers to the provided imaging system coordinates of the virtual fiducial markers using the coordinate system mapping.

The invention discloses a water turbine runner dynamic stress mapping and efficiency prediction method, relates to the technical field of hydraulic machinery operation monitoring and evaluation, and is used for solving the problem of lack of systematic mapping and tracking of runner dynamic stress changes of a water turbine under different operation conditions. Classifying the working conditions of the water turbine according to the environmental data, and selecting corresponding operating parameters according to a classification result to analyze the dynamic stress characteristics of the runner. Meanwhile, water turbine attribute data are collected, and the operation efficiency is preliminarily estimated. A plurality of detection time points are set to collect water pressure introduced into the water turbine, water pressure fluctuation is calculated accordingly, and the running resistance index is further calculated in combination with runner dynamic stress characteristics. The real-time water pressure temperature is detected, the temperature data and the resistance index are synthesized, secondary evaluation and prediction are conducted on the operation efficiency of the water turbine, and therefore accurate prediction of the efficiency of the water turbine is achieved.

The invention relates to a mobile imaging device (10) for generating at least one image (12) of a cut edge (14) of a workpiece (16) without being tied to a fixed location, comprising: a base body (18) with a cut edge stop (20) arranged or formed thereon, for placing the base body (18) against the workpiece (16) having the cut edge (14) to be imaged; an imaging unit (24) arranged in or on the base body (18) for imaging the cut edge (14); wherein the cut edge stop (20) forms a predetermined edge distance (22) to the imaging unit (24) along an optical imaging axis (28) of the imaging unit (24), wherein the predetermined edge distance (22) results in a constant imaging distance of the imaging unit (24) to the cut edge (14) when the imaging device (24) is placed against the workpiece (16).The invention also relates to an imaging system (42), an imaging arrangement (40) and an imaging method (50).

A distributed system (DS) mapping change method includes, after a non-access point station (non-AP STA) is switched from a first access point (AP) in a multi-access point (MAP) system to a second AP in the MAP system, performing a context transmission procedure to transmit a context of the first AP to the second AP, where the context includes a traffic parameter between the non-AP STA and the first AP; and performing a DS mapping change procedure to inform the DS of mapping between the non-AP STA and the second AP, wherein the DS mapping change procedure does not pass the re-association process.

The invention discloses a control method and device of wearable equipment, equipment and a storage medium, relates to the technical field of wearable equipment, and discloses the control method of the wearable equipment, the method is applied to the wearable equipment, the wearable equipment is provided with an image acquisition device, and the image acquisition device is used for monitoring an external environment. The method comprises the following steps: when a current operation mode is a system mapping mode, determining a current mapping object; mapping the external mapping data to the current mapping object to obtain a system mapping object; determining gesture operation information of a user on the system mapping object according to an external environment image acquired by an image acquisition device; and controlling the external mapping data according to the gesture operation information. Through the above mode, the gesture operation of the user on the focusing object is utilized to replace the handle / gesture operation of the existing wearable device, so that the user operation efficiency is improved, the operation cumbersome feeling is reduced, and the operation experience of the user is improved.

The application provides a water turbine generator excitation parameter adjustment method and system based on working condition recognition, belongs to the technical field of water turbine generator excitation control, and can at least partially solve the problems that the existing control mode is difficult to adapt to the frequent change of the working condition of the water turbine generator, lacks an effective recognition mechanism for the working condition, and is difficult to realize self-adaptive adjustment of the excitation parameter under multiple working conditions. The application comprises the following steps: running state data acquisition; working condition recognition; working condition determination confirmation; working condition-excitation parameter mapping and matching; and online self-adaptive adjustment of the excitation parameter. The application can accurately recognize multiple working conditions of the water turbine generator in real time by collecting the running state data of the water turbine generator and recognizing the working condition, thereby establishing a systematic mapping relationship between the working condition and the excitation parameter, realizing self-adaptive adjustment of the excitation system, and improving the dynamic performance and adaptability of the water turbine generator in a complex power system environment.