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341 results about "Reference modeling" patented technology
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Method and system for model-based heterogeneous server configuration management
ActiveUS20030233431A1Error detection/correctionInterprogram communicationReference modelingReal time services
A method and system for configuring heterogeneous servers across a network through modules that can browse, snapshot, track changes, track compliance, correct server objects on each of the servers, and provision new servers is provided. In one embodiment, server objects on multiple servers can be browsed in real time. While browsing, a collection of server object identifiers can be selected and collected in a template. The values of the server objects identified in the template can be recorded for a "gold server" through a "snapshot" process, which collects the values and saves them in a reference model. By comparing other live servers to the reference model, discrepancies in configuration of the other live servers can be identified and corrected. The reference models can also be used to provision a new server. Alternative to the reference model, an arbitrary snapshot or scheduled snapshots of a server can be used to track change and compliance in that server.
Owner:BLADELOGIC
Coding of animated 3-D wireframe models for internet streaming applications: methods, systems and program products
A 3-D wireframe model expressed in terms of nodes and vertices receives a 3-D video or like signal representative of a scene expressed in terms of a reference model, I frames and P frames. A DPCM coder takes advantage of the temporal correlation of the displacement of each vertex along every axis in the 3-D space. The 3-D signal is a set of non-zero displacements of all vertices and all nodes (sl[n, v]) at time tl. The decoded set (animation frame) of the previous instance is used as the predicted value (si-l[n, v]). The prediction error el[n, v], i.e. the difference between the current displacement set and the predicted one, is computed and quantised (el[n, v]). Finally, the quantised samples are entropy coded (ci[n, v]) using an adaptive arithmetic coding algorithm to handle the unknown data statistics. The predictive scheme described above prevents quantization error accumulation. A DPCM decoder first decodes arithmetically the received samples (‘e’ [n, v]) and computers the decoded samples (si′ [n, v]).
Owner:AMERICAN TELEPHONE & TELEGRAPH CO
SCADA (supervisory control and data acquisition) temperature parameter based wind turbine set security evaluation method
InactiveCN103758696AImprove monitoring levelIncrease profitWind motor controlMachines/enginesData acquisitionReference model
The invention discloses an SCADA (supervisory control and data acquisition) temperature parameter based wind turbine set security evaluation method and belongs to the technical field of equipment security evaluation. The wind turbine set security evaluation method includes: firstly, deciding on an SCADA temperature parameter; then analyzing temperature parameters related to system faults of a wind turbine set, structuring relatedness between operating conditions of the environment temperature as well as wind speed and the SCADA temperature parameter, determining a standard for division of wind turbine set operating conditions, and establishing a standard Gaussian model serving as a reference model for evaluation of the wind turbine set operating conditions; calculating degree of deviation between a curve and the standard model through comparing the standard model with the Gaussian model, and measuring the operating condition of the wind turbine set. By the application of the wind turbine set security evaluation method, monitoring level upon the wind turbine set can be improved, utilization rate of the wind turbine set can be increased, and operation cost can be effectively lowered; a reliable and effective wind turbine set security evaluation mechanism is established, so that deterioration of hidden trouble of the wind turbine set towards faults and accidents is avoided, and an operation circumstance which is secure, stable and efficient is formed for the wind turbine set.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
Various data source integrated management method for oil and gas field
ActiveCN104504094AImportant economic and social benefitsDatabase distribution/replicationMulti-dimensional databasesOil fieldData science
The invention relates to a various data source integrated management method for an oil and gas field, which comprises the following steps: a step 1 of establishing a unified data model according to a reference model by combining various data sources; a step 2 of carrying out projection deployment according to the unified data model to establish a central database; a step 3 of utilizing the unified data model and the central database and integrating a multi-protocol data interface to set up a data management system. The various data source integrated management method solves the difficult problem of shortage of a matured or universal technology on the aspects of multivariate data management, integrated management of various data sources and the like in the digital building and transforming process of the oil and gas field, meets the requirements for digital oil field uniform standard management, standardized management, various-data seamless fusion and cooperative office and has important social benefits and economic benefits.
Owner:BC P INC CHINA NAT PETROLEUM CORP +1
Method for creating a linear programming model of an industrial process facility
ActiveUS7257451B2Simplify the development processEliminate needSolidificationLiquefactionReference modelingProcess engineering
Owner:EXXONMOBIL CHEM PAT INC
Electromotor dynamic/stable stage parameter identification method based on stator resistance observer
InactiveCN102624320AResolve imprecisionImproved low-speed running performanceElectronic commutation motor controlVector control systemsReference modelingInjection equipment
The invention discloses an electromotor dynamic / stable stage parameter identification method based on a stator resistance observer. For the parameter identification at a dynamic stage of an electromotor, a stator resistance T-S (Takagi-Sugeno) fuzzy observer is introduced to obtain an actually-measured value of stator resistance on the basis that the existing MRAS (Model Reference Adaptive System) method is still adopted, and dynamic correction is carried out on a rotating speed reference model and a resistance reference model according to the actually-measured value of the stator resistance; and for the parameter identification at a stable stage, the identification method for the rotating speed of a rotor is achieved by adopting the MRAS method and the stator resistance T-S fuzzy observer which are the same as those adopted in the parameter identification at the dynamic stage, and the identification method for the resistance of the rotor is achieved by adopting simple conversion. The electromotor dynamic / stable stage parameter identification method based on the stator resistance observer has the beneficial technical effects that the problem of inaccurate reference models is solved, the low-speed operating performance of the electromotor can be improved, the adoption of a current injection method is avoided, the current injection equipment is saved, the complexity of a system is lowered, the introduction of torque ripple is avoided, and the like.
Owner:CHONGQING JIAOTONG UNIVERSITY
Dentition control method
ActiveUS20190125493A1Reduce in quantityLow costMedical simulationImage enhancementReference modelDentition
A method for adjusting / monitoring an orthodontic appliance worn by a patient. Creating a numerical three-dimensional reference model of at least a part of a patient's arch. Creating a numerical three-dimensional reference model of the teeth of the at least a part of the patient's arch. Acquiring at least one updated image, under actual acquisition conditions, and searching, by deformation of the initial reference model, for an updated reference model corresponding to the positioning of the teeth during the acquisition of the updated image. Determining, depending a comparison model corresponding to an anticipated positioning of the teeth, a comparison model. Comparing the updated reference model with the comparison model. If comparison leads to an unsatisfactory result, creation of a replacement orthodontic appliance, by modification of the orthodontic appliance worn or by creation of a new orthodontic appliance, the replacement orthodontic appliance being configured accordingly.
Owner:DENTAL MONITORING
Augmented Cognition Methods And Apparatus For Contemporaneous Feedback In Psychomotor Learning
ActiveUS20200222757A1Accurately reflectHigh Guidance ValueImage enhancementImage analysisReference modelingComputer graphics (images)
A method of creating a scalable dynamic jointed skeleton (DJS) model for enhancing psychomotor leaning using augmented cognition methods realized by an artificial intelligence (AI) engine or image processor. The method involves extracting a DJS model from either live motion images of video files of an athlete, teacher, or expert to create a scalable reference model for using in training, whereby the AI engine extracts physical attributes of the subject including arm length, length, torso length as well as capturing successive movements of a motor skill such as swinging a gold club including position, stance, club position, swing velocity and acceleration, twisting, and more.
Owner:LIVE VIEW SPORTS INC
Universal sensor self-diagnosis device and diagnosis method therefor
InactiveCN102695943AGuarantee stabilityEnsure reliabilityAlarmsProvision for safeguarding apparatusReference modelingDiagnosis methods
The present invention relates to a universal sensor self-diagnosis device and to a diagnosis method therefor. In more detail, the device of the present invention includes: a sensor signal input unit for receiving a sensor signal from at least one sensor; an input data processing unit for processing the received sensor signal from the sensor signal input unit as a value available for a diagnosis device; a modeling unit for calculating a diagnosis modeling value by modeling data processed by the input data processing unit; a memory for storing a reference modeling value for the sensor signal of the sensor, which is modeled in advance when the sensor is in a normal state, and a failure type determining unit for determining a failure type of the sensor; a failure diagnosis unit for diagnosing a failure of a corresponding sensor by assessing the degree of correlation between the diagnosis modeling value and a reference modeling value of the corresponding sensor stored in the memory; and a failure type determining unit for determining a failure type of the corresponding sensor by assessing the degree of correlation between the diagnosis modeling value and the reference modeling value using the failure type determining data if it is determined by the failure diagnosis unit that there is a failure in the corresponding sensor.
Owner:POWELL TECHWIN +1
Control method and device for tilt rotorcraft
The invention discloses a control method and device for a tilt rotorcraft. The control method comprises steps of: establishing a dynamics reference model of the tilt rotorcraft; according to the reference model, designing a control system for controlling the tilt rotorcraft; according to the reference model, determining the system state of the tilt rotorcraft and a model difference between the reference model and an actual model; operating the control system according to the system state to obtain an virtual control input; correcting the virtual control input according to the model difference to obtain an actual control input; controlling the flight of the tilt rotorcraft according to the actual control input. Thus, the corrected actual control input is used for controlling the motion of the tilt rotorcraft so that the flight of the tilt rotorcraft is stable.
Owner:SHENYANG SHANGBO ZHITUO TECH CO LTD
Method and apparatus for executing real-time tasks
ActiveUS20180081720A1Raise priorityProgram initiation/switchingHardware monitoringReference modelReal-time computing
An apparatus and a method are presented for executing a program including a plurality of tasks, wherein one or more tasks of the plurality of tasks have real-time constraints, the method comprising the following steps for each task with real-time constraints: determining a real-time reference model for the task, wherein the real-time reference model of a task includes a plurality of micro tasks which are a partitioning of the task and an order among the micro tasks according to all possible execution paths of the task, and wherein the reference model includes a reference timing for each micro task; executing the task and a plurality of other tasks and determining after execution of a micro task of the task an actual timing, comparing the actual timing to the reference timing, and based on the comparing increasing the priority of the task.
Owner:ESG ELEKTRONIKSYST UND LOGISTIK MBH
Model-reference based adaptive cruise control method of car-following system
InactiveCN103761371ALess frequentSolve control speedSpecial data processing applicationsReference modelingCruise control
The invention belongs to the technical field of car-following control and particularly relates to establishment of car-following system reference models and the adaptive optimization problem based on division of following states of car distance and speed and behaviors of behind-cars under the specific following states. The adaptive cruise control method is implemented by steps including: 1, establishing a car-following system model; 2, establishing the reference model of car-following control; 3, calculating dynamic safe car distance in real time; 4, according to the current specific car-following state, selecting a corresponding behind-car behavior modification mathematical model and calculating the control law of the car-following system in real time; 5, implementing the control law and achieving behind-car behavior modification; 6, detecting the following state of the following system in real time during modification of behind-car behaviors, turning to the step 4, and executing circularly. During the course that a behind car follows a front car, the control law for modifying self-behaviors is calculated in real time according to the current following state and car performance, behavior and vehicle distance information, so that the following operation which is safe, efficient and stable (comfortable) can be realized.
Owner:TONGJI UNIV
Method and device for training information extraction model and obtaining knowledge graph, and equipment for training information extraction model and obtaining knowledge graph
PendingCN111737552AImprove performanceConsistent predictionsNatural language data processingNeural architecturesReference modelingRobustification
The invention relates to the technical field of computers, and provides a method and device for training an information extraction model and obtaining a knowledge graph and equipment for training theinformation extraction model and obtaining the knowledge graph, which are used for improving the robustness of the information extraction model. The method comprises: training an initial first information extraction model, and updating the first information extraction model based on a prediction result of a noise sample to obtain a first intermediate state model; updating the first information extraction model based on the difference between the prediction result of the noise sample by the first intermediate state model and the prediction result of the non-noise sample by the initial second information extraction model to obtain a second intermediate state model; updating the second intermediate state model based on the prediction result of the non-noise sample by the second intermediate state model to obtain a reference model; and adjusting parameters of the reference model based on a preset smooth coefficient to obtain a target information extraction model. The model parameters are updated based on the meta-learning mode, the updated model is more robust, and the constructed knowledge graph is more accurate.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI +1
Chip circuit function verification system, method, equipment and storage medium
ActiveCN113312879AAvoid wastingAvoid time-consuming verificationComputer aided designSpecial data processing applicationsReference modelingSoftware engineering
The embodiment of the invention discloses a chip circuit function verification system, a method, equipment and a storage medium. The system comprises an excitation generation module, an execution module, a to-be-tested circuit, a reference model and a tester, the excitation generation module obtains a chip software simulation result, generates target verification excitation and inputs the target verification excitation to the execution module and the reference model; the execution module performs parameter configuration on the to-be-tested circuit according to the target verification excitation, generates a target excitation signal and inputs the target excitation signal to the to-be-tested circuit; the to-be-tested circuit generates a test output result according to the parameter configuration result and the target excitation signal; the reference model generates a reference output result according to the target verification excitation simulation; and the tester matches the test output result with the reference output result to obtain a function verification result of the circuit to be tested. According to the system of the invention, the time efficiency, the resource utilization rate and the accuracy of chip circuit function verification can be improved, and the realization of large-scale application scene verification is promoted.
Owner:北京燧原智能科技有限公司
Adversarial image generation method, device and equipment, and readable storage medium
ActiveCN111475797AEnsure safetyImage enhancementCharacter and pattern recognitionPattern recognitionReference modeling
The embodiment of the invention discloses an adversarial image generation method, device and equipment and a readable storage medium, and the method comprises the steps: generating a reference model equivalent to the classification of a target classification model according to the target classification model; obtaining a target image, and generating original noise for the target image according tothe reference model; inputting the first noise and the original noise into an adversarial model, and outputting second noise corresponding to the first noise when the adversarial model meets a convergence condition, wherein the second noise is the noise for enhancing the original noise information entropy; generating an enhanced noise image corresponding to the target image according to the second noise and the target image, wherein the classification accuracy of the enhanced noise image in the target classification model is smaller than that of the target image in the target classification model. By adopting the invention, the enhanced noise picture is difficult to identify by the malicious target classification model, and the security of the enhanced noise picture is improved.
Owner:SHENZHEN INST OF ADVANCED TECH
Distributed control method capable of improving control precision of flexible spacecraft
InactiveCN105446348AHigh control precisionIncrease structural dampingCosmonautic vehiclesCosmonautic partsKinematics equationsDynamic equation
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY +1
Method for training cross-modal retrieval model, cross-modal retrieval method and related device
PendingCN111353076AImprove accuracyCharacter and pattern recognitionNeural architecturesReference modelingSupervised learning
The invention provides a method for training a cross-modal retrieval model, a cross-modal retrieval method and related devices, relating to the field of artificial intelligence. The method comprises the following steps: determining a reference model by utilizing unsupervised learning; performing knowledge distillation based on the reference model and the training data to obtain similar data of thetraining data; carrying out supervised learning by utilizing the similar data of the training data and the training data, so that a cross-modal retrieval model is obtained. According to the method and the device, relatively high accuracy of the trained cross-modal retrieval model can be ensured under the condition that the label of the training data used for supervised learning does not need to be manually labeled.
Owner:HUAWEI CLOUD COMPUTING TECH CO LTD
Business model-driven ERP software requirement acquisition method
InactiveCN101261705ASolve conflictsResourcesSpecific program execution arrangementsSoftware developmentBusiness requirements
The invention provides an ERP software requirement obtaining method BROM. The method takes business modeling as the original business requirement of an enterprise, takes an enterprise target model as a decision-making foundation and combines an ERP reference model as a field technology thus breaking through the communication disorders between the enterprise and a system operator, shortening the time to obtain the requirement and improving the quality of a requirement model. The BROM method requires the two parties to describe the enterprise equipment and the function of an ERP system by adopting the mode familiar to each party so as to overcome the communication disorders between the enterprise and the system operator; then a difference analyzing method based on a semanteme similarity computer is adopted to identify and analyze the difference between the ERP system and the enterprise requirement. The enterprise user and the system operator are assisted to participate the establishing of a future business model according to the result of the difference analyzing and by utilizing a construction target / process matrix and finally two software collocating requirements and software developing requirements are generated according to the ideal future business model.
Owner:BEIHANG UNIV
Heavy carrier rocket attitude control method with customizable control performance indexes
ActiveCN110794863AImprove robustnessGuaranteed Convergence PropertiesAttitude controlReference modelingAttitude control
The invention provides a heavy carrier rocket attitude control method with customizable control performance indexes. On the basis of an attitude dynamics model of an aircraft, a reference model with an expected overshoot amount and rise time is designed; a is obtained and thus a model tracking error dynamics model is obtained and a model tracking error constraint function is designed, so that convergence from an initial state to an expected steady-state error within specified time is realized based on a certain change rule. External disturbance is estimated by using an adaptive disturbance estimation law based on the steps and an attitude controller is compensated; and with the controller, the convergence characteristic of fixed time can be ensured and the high control precision and robustness are realized. According to the provided method, a controller conforming to control performance indexes like an overshoot, rise time, a steady-state error and transition process time specified bya user can be designed according to requirements; and the consistent control performance of the aircraft in the whole flight process can be realized. The method has wide application space and great application value.
Owner:SUN YAT SEN UNIV
Method, system and computer program product for failure analysis implementing automated comparison of multiple reference models
InactiveUS20090204924A1Error detection/correctionSoftware simulation/interpretation/emulationReference modelingFailure analysis
System, method and computer program products for failure analysis implementing automated comparison of multiple reference models. An exemplary embodiment includes a method for failure analysis for an instruction set implementation in a computer system, the method including running a test-case in a first and a second model, determining if the test case failed in the first model and determining if the test case failed in the second model.
Owner:IBM CORP
Automobile transverse and longitudinal stability cooperative control method under extreme working condition
ActiveCN111391822AImprove lateral stabilityHigh precisionControl devicesReference modelingControl objective
The invention discloses an automobile transverse and longitudinal stability cooperative control method under an extreme working condition. The method comprises the steps: obtaining a four-wheel-hub-motor-driven electric automobile model through simulation software CarSim; designing a two-degree-of-freedom reference model, and deriving expected values of a lateral speed and a yaw velocity of the automobile through a two-degree-of-freedom reference model; adopting a double-layer control structure to reduce the solving complexity, employing an NMPC controller for the upper layer to ensure that transverse and longitudinal stability of the automobile is used as a control target, and carrying out optimized solution by considering transverse and longitudinal safety constraints to obtain virtual control variables, namely expected values of a tire slip rate and a slip angle; and finally, acquiring an additional torque acting on the hub motor according to the deviation between the actual slip rate and slip angle of the tire and the expected value given by the upper layer. Therefore, the transverse and longitudinal stability of the vehicle is ensured.
Owner:JILIN UNIV
Systems and methods for generation of signature generation using interactive infection visualizations
According to one embodiment, a malware detection and visualization system includes one or more processors; and a storage module communicatively coupled to the one or more processors, the storage module comprises logic, upon execution by the one or more processors, that accesses a first set of information that comprises (i) information directed to a plurality of observed events and (ii) information directed to one or more relationships that identify an association between different observed events of the plurality of observed events; and generates a reference model based on the first set of information, the reference model comprises at least a first event of the plurality of observed events, a second event of the plurality of observed events, and a first relationship that identifies that the second event is based on the first event, wherein at least one of (i) the plurality of observed events or (ii) the one or more relationships constitutes an anomalous behavior is provided.
Owner:FIREEYE SECURITY HLDG US LLC
MCU verification method and system and terminal equipment
PendingCN113076227APromote migrationIncrease usageError detection/correctionComputer hardwareReference modeling
The embodiment of the invention provides an MCU verification method and system and terminal equipment. The method comprises the steps: generating a corresponding register configuration message according to the test excitation of a target register, and writing an address index and a pre-configuration value contained in the register configuration message into a storage unit of an MCU, so as to enable the MCU to operate the target register in a corresponding module; meanwhile, sending the configuration message to a reference model corresponding to the MCU, and varifying the system function of the MCU and / or the function of the corresponding module by comparing the expected response output by the reference model with the actual response output by the MCU. According to the method, most functions are put down to the module level for verification, only one unified module level simulation platform needs to be built; compared with an existing verification method, it is avoided that a large number of instruction programs need to be developed, and it is also avoided that many verification platforms need to be built for specific modules; according to the scheme, not only can the MCU be effectively verified, but also the utilization rate of a universal verification platform and the like are improved.
Owner:SHENZHEN YSPRING TECH
CT gray-material property assignment finite element modeling method used for osteotomy
ActiveCN105740533AHighly restoredWith non-uniform element material propertiesDesign optimisation/simulationSpecial data processing applicationsReference modelingElement model
The present invention discloses a CT gray-material property assignment finite element modeling method used for osteotomy. The method comprises: (1) skeleton three-dimensional model reconstruction; (2) hook surface construction and substantialization of a skeleton surface model; (3) skeleton segmentation of a bone entity model; (4) meshing and output of a skeleton member entity model that the position of which is not changed; (5) position adjustment of a skeleton member entity model that the position of which is changed and establishment of a reference model; (6) CT image gray-material property experience formula based mesh model assignment; and (7) position adjustment of a skeleton member mesh model and processing before finite element modeling, and obtaining a final skeleton finite element model. The method disclosed by the present invention can realize random adjustment of the position of the skeleton member model, has gray assignment based non-uniform element material properties, and has characteristics of high reducibility of a model material, simple operations, an accurate finite element calculation result, and the like.
Owner:SOUTHERN MEDICAL UNIVERSITY
Device operation neural network test method and device
ActiveCN111178512AReduce manual loadImprove test efficiencyNeural architecturesEnergy efficient computingReference modelingTest efficiency
The invention discloses a device operation neural network test method and a device. In the embodiment of the invention, the method for testing the operation of the neural network by the to-be-tested device can comprise the steps: generating a reference model of the neural network through the description information of the neural network; calling a simulator to process a predetermined image according to the reference model of the neural network to obtain an expected result of the neural network; operating the neural network through a to-be-tested device to process the predetermined image so asto obtain a real result of the neural network; and determining whether the to-be-tested device can normally operate the neural network or not according to the real result of the neural network and theexpected result of the neural network. According to the method and the device, the test for the device operation neural network condition can be automatically completed without manually constructingtest data and preparing an expected calculation result, so that the labor load can be remarkably reduced, the test efficiency is improved, and the test accuracy is higher.
Owner:中科南京人工智能创新研究院
Model reference self-adaptive system parameter self-tuning method based on one-dimensional fuzzy control
ActiveCN103997274AEasy to useReduced rotor position angle errorElectronic commutation motor controlVector control systemsReference modelingSelf-tuning
The invention relates to a model reference self-adaptive system parameter self-tuning method based on one-dimensional fuzzy control. The method comprises the following steps that (1) a model reference self-adaptive system based on the one-dimensional fuzzy control is structured according to an actual physical model of a permanent magnet synchronous motor; (2) direct-axis currents and quadrature-axis currents are calculated respectively according to the actual model and a reference model, and a current error variable e(t) of the direct-axis currents and the quadrature-axis currents is obtained according to an error calculation formula; (3) the changing range of e(t) is defined as current error variable pulsation band e(t)band, and the e(t)band is sent into a one-dimensional fuzzy controller after action of the input scale factor Ke of the one-dimensional fuzzy controller; (4) fuzzy controlled quantity output u(t) is obtained according to one-dimensional fuzzy rules; (5) u(t) is acted by the output scale factor Ku of the one-dimensional fuzzy controller and amplified to the actual controlled quantity on PI parameters; (6) u(t) is converted into a precise output value u0(t) and is overlapped on the PI parameters. The model reference self-adaptive system parameter self-tuning method based on the one-dimensional fuzzy control can be widely applied to the field of control over motors without position sensors.
Owner:TSINGHUA UNIV
A method and apparatus for analyzing a semiconductor wafer
ActiveCN109712136AEffective monitoring and analysisImage enhancementImage analysisReference modelEngineering
The invention provides a method and a device for analyzing a semiconductor wafer. The method and the device are used for analyzing a defect distribution mode on a to-be-detected semiconductor wafer. The method comprises the following steps: acquiring a defect distribution map of the to-be-tested semiconductor wafer, wherein the defect distribution map indicates defect distribution in a plane of the to-be-tested semiconductor wafer; establishing a three-dimensional to-be-tested model according to the defect distribution map, the XY plane of the three-dimensional to-be-tested model correspondingto the plane of the to-be-tested semiconductor wafer, and the Z axis of the three-dimensional to-be-tested model corresponding to the number of defects in each grid unit in the XY plane; and calculating the similarity between the three-dimensional to-be-tested model and at least one three-dimensional reference model to determine the defect distribution mode of the to-be-tested semiconductor wafer, each three-dimensional reference model indicating the defect distribution of one mode. Through the above method, intelligent identification and monitoring early warning can be carried out on specialdistribution defects.
Owner:SHANGHAI HUALI MICROELECTRONICS CORP
Reference model for data-driven analytics
A taxonomy reference model for use in an analytical modeling component. The analytical modeling component defines analytical relationships between the model parameters using analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). An analytics taxonomy categorizes the analytics relations into analytics categories. This analytics taxonomy may be domain-specific. Also, if the analytics drive visuals, the visuals could be taxonomized as well. If the analytics is driven by data, the data could also be taxonomized.
Owner:MICROSOFT TECH LICENSING LLC
Electronic device displaying avatar motion-performed as per movement of facial feature point and method for operating same
ActiveUS11055889B2Input/output for user-computer interactionImage enhancementReference modelingMedicine
Owner:SAMSUNG ELECTRONICS CO LTD
Method of determining mesh data and method of correcting model data
InactiveCN101739493AEasy to distinguishSimple and reliable automatic identificationProgramme controlTotal factory controlReference modelMeasuring instrument
A die fabricated based on reference model data is corrected, and the corrected die is measured with a measuring instrument to provide three-dimensional measured die data. Noise areas in the three-dimensional measured die data are identified and removed using a computer. The three-dimensional measured die data and the model data are placed in proximity to each other, and a stacking and deforming process is performed in order to project a model surface represented by the model data onto a measured data surface represented by the three-dimensional measured die data. The stacking and deforming process is performed only within a range of the model surface that corresponds to an area in which the die is corrected. Portions of the three-dimensional measured die data from which noise areas have been removed are complemented by the model data.
Owner:HONDA MOTOR CO LTD
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