57 results about "Structured model" patented technology

Model-order reduction techniques are described for RLC circuits modeling the VLSI layouts. A structured model order reduction is developed to preserve the block-level sparsity, hierarchy and latency. In addition, a structured and parameterized model order reduction is developed to generate macromodels for design optimizations of VLSI layouts. The applications are thermal via allocation under the dynamic thermal integrity and via stapling to simultaneously optimize thermal and power integrity.

The invention discloses a method for generating a tetrahedron gridding for a three-dimensional geological structure, which is used for geologic body attribute modeling and oil-deposit numerical simulation computation and analysis. The invention is characterized in that an automatic reliable recovering method for geologic restrained boundary segments and layering gridding is supplied and the tetrahedron gridding under the restraining of inputting a three-dimensional geological structured model is generated, on the basis of a standardized settling for inputting a three-dimensional geological surface gridding model and the Delaunay triangulation gridding generating method based on a point set, and by utilizing a topologic principle and detecting constraint conditions and crossing conditions of the elements such as edges, sides and bodies in an antithetical Voronoi diagram of a Delaunay tetrahedron gridding as well as establishing a corresponding point adding rule. The method is easily realized, has high reliability and has no specific demand on complexity of an initial surface model and the classification of the gridding. By using the method, the problem of gridding the tetrahedron under a complex geological structure is solved, thereby being convenient to perform further analysis and simulation computation on the three-dimensional geological model on such a basis.

The invention provides a construction method of an evidence chain relation model for a Chinese judgment document. The process of the construction method is shown in the figure and mainly comprises thesteps that text preprocessing is performed on the Chinese judgment document; an XML-formatted file obtained after processing is read, and an evidence chain body set and a fact set are extracted; a keyword set of each evidence chain body and a keyword set of each fact are obtained according to a 4W1H key element extraction strategy; linking in the evidence chain relation model is constructed by calculating key element relevancy to complete model construction; the constructed model is made into an Excel table; and a structured model is displayed as a visual model. Through the method, mainly fora construction task of the evidence chain relation model in argument evaluation of the legal judgment document, according to the characteristics of judgment document arguments and the characteristicsof court document vocabularies, the judgment document preprocessing method is improved, the key element extraction technology is optimized, the correct rate of calculation of linking in an evidence chain is increased, and the method can be effectively used for evaluating the fact argument level of the judgment document.

Systems and methods are provided that predict the accuracy of expert forecasts based on a corpus of prior expert forecasts. Expert forecasts (also referred to as opinions) are analyzed and processed to determine an opinion and related positions expressed by the expert. Each opinion is combined with relevant industry information to create a structured model for the opinion. A plurality of structured models for a given expert are then analyzed along with information related to the actual outcome of prior predictions to create a decision model for the particular expert. A new opinion issued by an expert is then analyzed using the decision model for that expert to predict the accuracy of the new opinion from the expert. Recommended actions in accordance with or against the new expert opinion may then be provided.

A system, method, apparatus and product for designing, on a display device, a geometric shape is disclosed. The method comprises the steps of displaying an initial set of similarly structured model exemplars on a display device, selecting a chosen set of models from the initial set of similarly structured model exemplars to apply to a model mix, mixing the set of models consisting of a first portion and a second portion to form a currently displayed shape, providing on the display device at least one selectable feature for manipulating the currently displayed shape, and applying a constraint of the selectable feature to the displayed shape to update both the first portion and the second portion of the currently displayed shape into a new geometric shape design. In a particular implementation, the first portion of the geometric shape is an automobile and the second portion is a standardized human occupant representation.

A method of horizontally structured CAD/CAM/CAE modeling for analysis comprising: establishing a horizontally structured model of an object in a CAD/CAM/CAE modeling system; creating an analysis model from the horizontally structured model; and performing analysis employing the analysis model. A horizontally structured analysis model formulated with a CAD/CAM/CAE modeling system comprising: a horizontally structured model of an object; an analysis model created from the horizontally structured model, wherein the analysis model is employed for performing analysis.

The invention relates to an organizational management method for a multi-version unstructured model. The method comprises the steps that (1), the unstructured model is preprocessed; (2), whether partition is carried out according to partitioned data is judged; (3), if partition is carried out according to the partitioned data, partition is carried out according to the partitioned data, and if not, partition is carried out according to a grid; (4), an LOD data structure is constructed; (5), geocoding is carried out on keywords, and grid indexing and hybrid indexing of a quadtree are carried out; (6), a feature image is generated; (7), the unstructured model is classified; (8), a multidate data set and a multiscale data set are constructed; (9), data of the unstructured model are updated and managed; (10), multi-version management is carried out on the unstructured model. Compared with the prior art, the unstructured model is rapidly preprocessed, a continuous LOD data structural model is constructed, through organizational management of the multidate data set and the multiscale data set, the unstructured model is rapidly called, a multi-version data set is constructed through a multi-version data set construction dissemination method, the distribution type version management method is adopted to manage data of various versions, and the actual needs of different users are met.

A method is disclosed herein that include an act of causing a processor to access a deep-structured model retained in a computer-readable medium, wherein the deep-structured model comprises a plurality of layers with weights assigned thereto, transition probabilities between states, and language model scores. The method can further include the act of jointly substantially optimizing the weights, the transition probabilities, and the language model scores of the deep-structured model using the optimization criterion based on a sequence rather than a set of unrelated frames.

The invention discloses a stability control device action analog simulation method based on structured model driving, which comprises the following steps of: structuring the model of a stability control device, organizing stability control strategies into (fault, operation mode, tidal current level and control strategies) a quaternary list structural form (wherein the operation mode specifically refers to a set start-stop mode and a line connecting mode), decomposing the control strategy into five basic elements including a control mode, a controlled quantity, a controlled quantity implementation principle, a controlled object queue and restriction, and summarizing four basic control strategy structured models including a direct type, a sequence type, a circular type and an optimum type. The control strategy is rapidly identified in the structured stability control strategies by a simulation program according to expected faults and the actual running mode of an electric network, and the strategy is added into the computation scene of a simulation example. The invention has the advantage of applicability to the simulation of different off-line stability control strategies.

The invention relates to a requirement analysis method of an information system integration service, comprising following steps: (1) observing and discussing a service which needs to be integrated, so as to determine a target of integrated service process; (2) building a module of the integrated service process aiming at the target to be realized; (3) examining the module of the integrated service process, and correcting and adjusting repeatedly and circularly the module via finding out differences to be improved in the service process; (4) forming a system function report and a function data report; (5) processing a requirement confirmation for the module gained after being corrected; (6) processing system whole design and integration, running and detecting. The requirement analysis method of the information system integration service provided by the invention takes BPM as center, and processes service process structured analysis via building a service process structured module to realize service requirement analysis, so as to greatly simplify a course of integration information system requirement analysis and improve an efficiency and accuracy of the integration system requirement analysis.

A method is disclosed herein that includes an act of causing a processor to access a deep-structured, layered or hierarchical model, called deep convex network, retained in a computer-readable medium, wherein the deep-structured model comprises a plurality of layers with weights assigned thereto. This layered model can produce the output serving as the scores to combine with transition probabilities between states in a hidden Markov model and language model scores to form a full speech recognizer. The method makes joint use of nonlinear random projections and RBM weights, and it stacks a lower module's output with the raw data to establish its immediately higher module. Batch-based, convex optimization is performed to learn a portion of the deep convex network's weights, rendering it appropriate for parallel computation to accomplish the training. The method can further include the act of jointly substantially optimizing the weights, the transition probabilities, and the language model scores of the deep-structured model using the optimization criterion based on a sequence rather than a set of unrelated frames.

The embodiment of the invention provides a text structuring method. The method comprises the steps that a target text to be structured is acquired; Inputting the target text into an entity extractionmodel, and identifying a target entity set in the target text through the entity extraction model; Inputting the identified target text of the target entity set into a relation extraction model, and extracting a relation between the target entities through the relation extraction model; And according to the target entities in the target entity set and the relationship between the target entities,performing structured representation on the target text to generate a target structure. In the embodiment of the invention, the conversion speed is high, and the labor cost is saved.

The invention discloses a reusable numerical control technology mapping method for a technology scheme, which aims at solving the technical problem of poor practicality in the existing reusable numerical control technology mapping method. The reusable numerical control technology mapping method adopts the technical scheme that a technology scheme structure model is established by a multi-branch tree type, a technology scheme is used as the guidance, and the reusable numerical control technology is subjected to working position, procedure and step analysis according to the processing and operation attribute information; according to the technology analysis result, the reusable numerical control technology is mapped to the technology scheme, and the technology scheme is used for instructing the reusable numerical control technology to sequence the whole technology, so as to support to generate the reasonable and complete part numerical control technology. The reusable numerical control technology mapping method has the advantages that the technical problems of low sequencing efficiency, sequencing result failing to meet actual processing requirements and the like in the technology sequencing process are effectively solved, and the practicality is good.

A multi-application-system panoramic modeling method based on object matching comprises the following steps: firstly, structural design and data classification of a multi-application-system panoramic model are realized, a primary equipment management and data processing system is the core system in multiple application systems, data in the panoramic model is divided into three types according to the data refreshing frequency and the data storage capacity, namely model static attribute, real-time acquired data and historical and statistical data, and data in different types is integrated in different manners; secondly, structurized model information is formed according to the relationship between core data expansion and data of other application systems; thirdly, a key data sheet in the non-core systems is integrated; and fourthly, other data sheets of the non-core systems are provided in a data service interface manner to build data exchange specification among the systems. By adopting the scheme, the problem that integral and efficient storage and modeling of the whole data can not be achieved when multi-system data integration is merely subject to logical centralization or physical centralization is effectively solved.

The invention provides a human body posture estimation method and a human body posture estimation system. The method includes the following steps: A, building a human body structuralized model, and combining with information of a sensor to calculate posture of human body motion and position information in a geodetic coordinate system; B, building a Bayesian network model of human body motion, combining with the posture of human body motion and the position information in the geodetic coordinate system to solve the geodetic coordinate system, and predicting human body posture of a later frame by a belief propagation algorithm in the Bayesian network model through human body posture data of a former frame. The human body posture estimation method and the human body posture estimation system have the advantages that human body posture can be predicted, operation efficiency of the whole system is improved remarkably, and predicting instantaneity of the system is guaranteed.

The invention discloses a three-dimensional structured model reconstruction method based on any view angle pictures. The method comprises the following steps of 1, collecting pictures, and forming a training data set; 2, segmenting object parts of the picture to obtain a bounding box of each part; 3, constructing a deep convolutional network model, and extracting a corresponding depth image from the image; 4, constructing a deep network model, and decoding the structural representation of the object; and 5, constructing and training a deep three-dimensional mesh deformation network, and deforming the bounding box into a three-dimensional model with a good structure. According to the method, the object structure representation is deformed, and a topology self-adaption method is used, so a problem that the topology is not changed when a general graph is used for convolution can be solved, and geometric details and the structure information of object recovery are ensured.

The invention relates to the technical field of evaluation and assessment of occupational tendency and employability, and discloses a three-dimensional dynamic monitoring method and system for occupational adaptability evaluation. The invention can be combined with the teaching platform to monitor and obtain the behavior data of the observed person in a series of learning processes, especially the behavior data related to occupational adaptation (including the depth of adaptation, the width of adaptation, their relative relationship and future trends, etc.), and Through a structured model, the acquired behavioral data is converted into an evaluation of the occupational adaptability of a certain occupation, and then not only the best recommended occupation and the recommended occupation of concern can be found, but also the occupational adaptability of the observed person can be dynamically monitored. Real-time monitoring facilitates accurate prediction of future career development trends.

The invention provides a structured modeling based face key point positioning method, which mainly solves a problem that an existing multispectral face recognition method is slow in computing speed. The scheme of the method comprises the steps of 1, collecting a face image and manually marking key points; 2, performing structured modeling on the face by using data acquired by the key points; acquiring a front face image, and segmenting a face region; 4, sequentially setting a binary threshold from 0 to 255, and performing binarization processing on the face region image; 5, solving edge points of the acquired binary images, performing clustering, solving a category center points and acquiring corresponding structured models; and 6, comparing the models with a model acquired in the step 2, and determining key points through solving the minimum difference. The structured modeling based face key point positioning method has the characteristics of high stability and high computing speed, and can be applied to the fields such as identity authentication, security monitoring and intelligent man-machine interaction.

The invention provides a modeling method and device of a spinning machine. The modeling method includes obtaining a CAD (computer-aided design) model through topological optimization, and drawing structures of a plurality of parts in the spinning machine and a hollow rib grid structure of the spinning machine in the CAD model; converting the CAD model into a parameterized CAE (computer aided engineering) surface-structured model; establishing a finite element parametric model of the spinning machine according to the parameterized CAE surface-structured model; subjecting the finite element parametric model to parameter optimization to obtain an optimized spinning machine structure. By the modeling method, the spinning machine can be designed through a parameterized finite element, and optimization efficiency and product performance of the spinning machine are improved.