46 results about "Informative modelling" patented technology

A system and method of automated civil infrastructure metrology for inspection, analysis, and information modeling utilizes an unmanned aerial vehicle (UAV) equipped with a position tracking system and digital cameras to capture a plurality of images of a structure to be inspected. The UAV is flown in a scan pattern around the structure while continually capturing images of the structure while position and orientation data is also recorded and linked for each of the images. Image processing and pattern recognition software algorithms are used to analyze the images and create an information model of the structure which is then used to carry out a virtual inspection of the structure in a three dimensional software environment.

Systems and methods for modeling information from a set of documents are disclosed. A tool allows a user to extract and model concepts of interest and relations among the concepts from a set of documents. The tool automatically configures a database of the model so that the model and extracted concepts from the documents may be customized, modified, and shared.

A prediction engine for use in predictive modeling associated with fantasy sports leagues is provided. The prediction engine can have a database module for storing criteria associated with players; and an information modeling module in communication with the database module for generating relationships among the criteria and providing player projections based at least in part on the relationships. The relationships can be adjusted based at least in part on changes to a scoring system of the fantasy sports league.

A simulation process information modeling and maintaining method based on the product structure tree, belonging to the technical field of information integration technology, is characterized in that: based on constructing a product data library, a simulation process library and a simulation data library, setting service logic processing packets for a product structure tree management module, a simulation process information management module and a simulation non-structure tree information maintenance module on an application server; and building a dynamic JSP page in a presentation layer respectively for a server-side and a client-side to modulate and browse. The invention solves the problems of effective organization and management of the simulation information and the integration with a PDM system, and ensures the data integrity, so as to keep the logic relationship in line between the simulation behavior and the simulation data, thereby meeting the special requirement of simulation data management. The invention also has the advantages of platform independence, high-efficient operation, expandability and maintainability.

The system and method for predictive modeling in a network security service described herein may provide a scalable architecture that can model information relating to any specific threat or potential threat in a network and manage routing requests relating to the threat information among various entities participating in the security service. In particular, the scalable architecture may include various distributed databases that store serialized information describing threat instances, wherein a detection service may maintain information identifying entities associated with the databases storing the serialized information. Further, the security service may include a hierarchical subscriber name service that participating entities can traverse to locate the serialized threat information in the various databases and evaluate how the threat instances may have evolved or progressed through the network.

Systems and methods for modeling information from a set of documents are disclosed. A tool allows a user to extract and model concepts of interest and relations among the concepts from a set of documents. The tool automatically configures a database of the model so that the model and extracted concepts from the documents may be customized, modified, and shared.

The invention discloses a ForCES configuration method based on NETCONF. According to the method, the ForCES pre-configuration information is subjected to information modeling in a YANG tree form, the data modeling is carried out in a YANG module form, and the local YANG information is maintained in a mode of reading and writing local configuration files. NETCONF clients and servers are realized on the basis of NETCONF software packages. A remote webmaster operates the clients, and each CE (control element) and each FE (forwarding element) operate the servers. After the connection building and ForCES module loading, the remote webmaster can use the standard NETCONF operation for realizing the remote efficient configuration on each CE and FE. The method provided by the invention has the advantages that the efficiency is higher, the safety is higher, the standardization is realized, the expansion is easy, and the like. The method has the excellent webmaster flow rate and response time performance, the mass configuration management requirements in SDN environment can be met, and the technical reserve in the remote configuration management aspect for expansion from ForCES to SND is provided.

The system and method for predictive modeling in a network security service described herein may provide a scalable architecture that can model information relating to any specific threat or potential threat in a network and manage routing requests relating to the threat information among various entities participating in the security service. In particular, the scalable architecture may include various distributed databases that store serialized information describing threat instances, wherein a detection service may maintain information identifying entities associated with the databases storing the serialized information. Further, the security service may include a hierarchical subscriber name service that participating entities can traverse to locate the serialized threat information in the various databases and evaluate how the threat instances may have evolved or progressed through the network.

Disclosed herein is a system and method for generating a BIM geometry breakdown structure. The system includes a geometry breakdown system (GBS) range setting module, a GBS geometric object coding module, and a GBS geometric object coding module. The GBS range setting module sets the range of a GBS based on BIM framework variables. The GBS element definition module generates “standard information breakdown property information” that is used to manage work-type breakdown and location breakdown, “project numbering system (PNS) property information” that is used to manage a work breakdown system (WBS), a cost breakdown structure (CBS), and a standard-method-of-measurement (SMM) breakdown structure (MBS), and “GBS property information” that is used to define geometric information. The GBS geometric object coding module matches geometric objects to the “standard information breakdown property information” and the “PNS property information”, and assigns numbers corresponding to the “GBS property information” to the matched geometric objects.

Method, system, and programs for an information model to be used in representing data. The information model includes a plurality of features, one or more information allocation models, and a configuration that associates an information allocation model with each of the features, where an information allocation model is to be used to allocate a portion of information contained in the data to each of the features and the total amount of information allocated to the features equals a total amount of information contained in the data.

The invention discloses a drawing and model integrated visual integration design method. A design institute and a system manufacturer take the responsibility of a system integrator together to finish the work of a designing a drawing for a transform substation and modeling all-station information. In the method, secondary development is performed on an Auto computer-aided design (CAD) by adopting an ActiveX Automation technology by taking the AutoCAD as an information interaction platform so as to establish a native XML database (NXD)-based model text storage database. By adopting the drawing and model integrated integration design, both a design drawing and a model file provided by the design institute can be identified; the bonding of information is finished by the design method so that a CAD file which is finally provided for a user can not only display connection information in the model in a visual mode, but also export the model file for a required unit, a manufacturer or a system to use, and realize the bidirectional switching of the drawing and the model.

The invention discloses a personalized information recommendation method based on metapath with attributes, including modeling all the information as a heterogeneous information network, dividing themetapath with attributes into completely symmetrical and semi-symmetrical metapath with attributes according to whether the attribute values are the same, obtaining the correlation matrix of entitiesunder each metapath with attributes, and obtaining the correlation matrix of entities in the whole network by weighting; based on the matrix decomposition algorithm combined with the regular term which is composed of the correlation degree and the correlation degree weight vector, the implicit meaning matrix of the user and the object, constructing the objective function and updating the implicitmeaning matrix and the correlation degree weight vector iteratively, and calculating the prediction score of the user to the object from the obtained implicit meaning matrix, according to the predicted score, recommending the item to the user as the object to be recommended. The invention satisfies the personalized demand of the user for the information recommendation, can improve the recommendation accuracy and solve the cold start problem to a certain extent.

The invention discloses an information transferring model based fault tracing method for process industrial complex electromechanical system. On the basis of mass high-dimensional system operating state monitoring data, by adopting a data analysis method and taking an information transferring relation among different monitoring variables as a measure of a system information model coupling relation, a system fault process recognition method and a tracing method are provided in comprehensive consideration of influences of process industrial feedback control on a system fault tracing process. According to the method, a unique root event of a system fault can be traced from any abnormal information monitoring points, and the fault tracing process is independent of system physical topology priori knowledge. The processing process can be partially and directly applied to information modeling of the process industrial complex electromechanical system, tracing of system fault causes can be realized, the digital monitoring level of enterprises is raised, and scientific maintenance is facilitated.

Devices, methods, and systems for generating a three dimensional building management system are described herein. One method includes inputting, into a three dimensional graphics rendering engine, building information modeling data associated with a building, inputting, into the three dimensional graphics rendering engine, real time building management system data associated with the building, and generating, by the three dimensional graphics rendering engine, a three dimensional building management system for the building based on the building information modeling data and the real time building management system data.

The various exemplary embodiments provide a method for projecting survey information into a geographic region. The geographic region is divided into a plurality of geographic subregions, each of which are profiled using a plurality of profiling variables to form a selected geographic subregion profile. The profiling variables include both demographic and behavioral variables. A plurality of survey respondents are then randomly assigned into the selected geographic subregion to form a modeled population, with the random assignment weighted based on a representation probability of each of the corresponding plurality of survey respondents for the selected geographic subregion profile, with the representation probabilities having been determined using a sample balancing algorithm. Following such profiling and assignment for all subregions, survey information corresponding to the modeled population is projected into the geographic region.

The invention relates to a keyword extraction method integrating theme information and bidirectional LSTM. The method comprises the following steps: firstly, combining LDA and Skip-gram model to learnthe topic word vector representation of the word; taking the subject word vector of the word as the input of a bidirectional LSTM model; time memory characteristics of a bidirectional LSTM model arefully utilized, and semantic information of themes of words is modeled at the same time; and finally, outputting a label prediction probability of the word through a softmax function. According to themethod, the context semantic information of different distances can be fully utilized to predict the keywords, the obtained correct rate, recall rate and F value are all good, the keyword recognitioneffect obviously surpassing the prior art is achieved, and the requirements of practical application can be well met.

The invention discloses a method for automatically establishing a three-dimensional geological information model of a coal mine by using point cloud data, which comprises the following steps of: acquiring the three-dimensional point cloud data based on a drilling histogram, a drilling comprehensive result table, a coal bed equal-thickness map and a coal bed floor contour map, and performing three-dimensional drilling information modeling by using the point cloud data; performing three-dimensional coal seam curved surface modeling by utilizing the three-dimensional drilling information model and the space graph data; sewing the coal seam curved surface model into a three-dimensional body model; and processing the three-dimensional body model by using the fault model. According to the method, three-dimensional geological information modeling can have high efficiency, and the model has rich representation forms and high analysis capability; the three-dimensional geological information model established by the method can help a decision maker correctly understand and express the geologic body in a virtual environment with accurate coordinates, time and objects; and a three-dimensionalvisual interaction means is utilized to realize multi-angle and multi-azimuth browsing and query of the geologic body and calculate, analyze and predict the internal geologic structure and geologic anomaly problems.

The invention discloses a data-driven information modeling method for a complex electromechanical system in the process industry. The data-driven information modeling method for the complex electromechanical system in the process industry is employed. The overall modeling process does not need prior knowledge of physical topology. In the modeling process, an information flow relationship is taken as a reference for analyses of coupling relations among different functional components of the system. By taking the anti-noise property and information loss into full consideration, a symbolization process of the system for monitoring time sequences is optimized. By binary coding and decimal decoding of symbolized phase points, the integration between the symbolization process with automated analyses and calculations is achieved. Therefore, the difficulty in building an information model of the complex electromechanical system in the process industry based on monitored data under the noise condition is resolved.

The invention provides an expression variation recognizing method for tensor-based active appearance models. The tensor-based active appearance models mainly comprise a tensor-based active appearance model (T-AAM) and a unified tensor-based active appearance model (UT-AAM). The method comprises the following steps: giving a new facial image, reestablishing the active appearance model (AAM) by using a fitting algorithm and carrying out modeling according to the shape and the texture information of the face; constructing a tensor-based shape and texture model through the tensor-based AAM (T-AAM) by using multi-linear subspace analysis; and providing the unified tensor-based active appearance model (UT-AAM) so as to realize unification. The invention provides an effective and accurate model fitting algorithm based on cascade regression for UT-AAM fitting. The detection performance is improved. Influence of postures, expressions, illumination, occlusion and the like is reduced; and the accuracy of recognition is improved.

The invention relates to the field of geographic information modeling and visualization, and discloses a method for constructing a multidimensional attribute visual generalized model considering a spatial position. The method comprises the following specific steps of constructing an overall model of the visual generalized model considering the spatial position; establishing a relationship among a plurality of spatial dimensions in the overall model in a formalized manner; and expressing relationships between the spatial dimensions in the overall model and a visual effect in a formalized manner. The method has the advantages that the universality of an object and a really-existent constraint are considered in the constructed overall model, then an impossibly and really existent situation is eliminated in the establishment of the relationship among the spatial dimensions, and finally the spatial dimensions and the visual effect are expressed in the formalized manner to obtain the multidimensional attribute visual generalized model with very high universality.

The invention discloses an automatic grading method based on a hydroelectric simulation training system. The automatic grading method based on the hydroelectric simulation training system comprises the following steps: (1) modeling desired information about test questions, and storing a modeled test question database in the system; (2) selecting the corresponding test questions from the test question database according to test paper information immediately, so as to set up information of test paper; (3) obtaining a record of relevant operation steps according to communication of a human-computer interface, and storing the operation record in the system; (4) automatically comparing standard answers and operation items through a business object logic layer, and generating an automatic grading record; (5) showing details of automatic grading and user grade counting data in a data object showing layer in a form manner. The method provided by the invention can be used for rapidly adapting to logic variation of the answers of the test questions and flexibly modifying a logic relationship of steps of the test questions, and does not need developers to modify a program source code, so that the working amount of system maintenance can be greatly reduced, and the error rate of the system can be reduced.

The invention relates to a context-based local spatial information modeling method which comprises the steps of extracting corresponding context characteristics after extracting local characteristics of each image; extracting local characteristic groups randomly from an test image according to a visual word corresponding to each local characteristic; training on the context characteristic set corresponding to each group of local characteristics to obtain groups of context modes by clustering algorithm; and gathering different context modes corresponding to the local characteristics and connecting the gathering results to obtain the final expression of the image. The method still can effectively handle the spatial information for images which are not aligned. In actual application, the method is combined with current methods taking absolute space relationship into consideration, so that the image classifying precision is further improved.

A apparatus includes a function of automatically arranging various sensors, such as temperature, humidity, illumination, presence, and CO2, and various meters, such a power and gas, in the rooms, floors, and buildings of a building model based on BIM by arranging the various sensors according to an optimum arrangement, an installation cost-based arrangement, or a user-based arrangement and arranging the various meters based on an optimum arrangement and of displaying the arranging sensors and meters in a 3-D space, a function of displaying the arrangement coordinates of various sensors and various meters, and a function of calculating and displaying the number of arranged sensors and meters and a cost for the arranged sensors and meters.

A method and an automation system for processing information extractable from an engineering drawing file. The automation system includes a controller which models in the engineering drawing file (20) at least two objects (302, 304) in a predefined format by adding at least two entities (34) to the engineering drawing file (20) (S501) and by adding support information (35) to the engineering drawing file (20) (S502) to provide the extractable information (S401), provides a program sequence (80) in an automation application (50) to establish a correlation of the extractable information (S402), correlates the extractable information by executing the program sequence (80) (S403), and generates output data (12, 15) based on the established correlation of the extractable information (S404). The correlation of the extractable information is established only while the program sequence (80) of the automation application (50) is being executed.

Disclosed herein is a system and method for generating a BIM geometry breakdown structure. The system includes a geometry breakdown system (GBS) range setting module, a GBS geometric object coding module, and a GBS geometric object coding module. The GBS range setting module sets the range of a GBS based on BIM framework variables. The GBS element definition module generates “standard information breakdown property information” that is used to manage work-type breakdown and location breakdown, “project numbering system (PNS) property information” that is used to manage a work breakdown system (WBS), a cost breakdown structure (CBS), and a standard-method-of-measurement (SMM) breakdown structure (MBS), and “GBS property information” that is used to define geometric information. The GBS geometric object coding module matches geometric objects to the “standard information breakdown property information” and the “PNS property information”, and assigns numbers corresponding to the “GBS property information” to the matched geometric objects.

The invention relates to a communication topology information modeling method and device based on flow data, and the method comprises the following steps: collecting the flow data of all engines, andcaching the flow data in a memory; summarizing the acquired flow data, and removing repeated data; abstractly modeling the analyzed and arranged flow data into an object library which can be insertedinto a graph database; and carrying out data persistence: storing the modeled object into a graph database. According to the scheme, modeling is conducted in a graph data mode on the basis of the real-time flow data reported by the flow collection engine, and the modeling data are persisted into the graph database, so that the function of checking the real-time network communication topological graph can be perfectly achieved, and the problems of drawing and retrieval efficiency of the system flow topological graph are solved.

The invention discloses an acoustic source localization method based on geometrical information modeling in enclosure space and adopting a single microphone and aims to solve the technical problem of poor practicability of the conventional acoustic source localization method in enclosure space. The technical scheme is that n nodes are distributed in a fluid region surrounded by the boundary of the enclosure space and are numbered from 1 to n. Geometrical shapes of the enclosure space and interior objects are constructed by means of the n nodes, and a system matrix for describing mathematical characteristics of the enclosure space is established according to coordinate information of the n nodes; during actual acoustic source localization, acoustic signals under multiple frequencies are measured by the single microphone, the acoustic signals and the system matrix are subjected to joint operation, location information of the acoustic signals is obtained, so that acoustic source localization is realized, and the method is good in practicability.