56 results about "Model builder" patented technology

A method and system for tracking a position and orientation (pose) of a camera using real scene features is provided. The method includes the steps of capturing a video sequence by the camera; extracting features from the video sequence; estimating a first pose of the camera by an external tracking system; constructing a model of the features from the first pose; and estimating a second pose by tracking the model of the features, wherein after the second pose is estimated, the external tracking system is eliminated. The system includes an external tracker for estimating a reference pose; a camera for capturing a video sequence; a feature extractor for extracting features from the video sequence; a model builder for constructing a model of the features from the reference pose; and a pose estimator for estimating a pose of the camera by tracking the model of the features.

A system for problem resolution in network and systems management includes a database of trouble ticket data including information fields for checked components and affected components, an automated model builder system that processes the trouble ticket data to construct a causality model to represent causality information between system components identified in the checked component and affected component fields of the trouble ticket data, and an automated problem analysis system that receives information indicative of a problem event and determines a cause of the problem event using the causality model.

An information retrieval system implements a search language, through which a querying entity (e.g., a user, a program or process, or the like) formulates a search query. Preferably, a search query is composed of an ordered set of clause definitions, and each clause can have set membership operations applied to it. Each clause includes a clause pipeline, and a time constraint. A clause pipeline includes an ordered set of clause specifications separated by a pipeline operator. A clause specification can be either an expansion operation or a filtering operation. Preferably, a first clause specification in a pipeline operates on an initial universe of all objects, and each subsequent clause specification operates on a set of objects produced from the previous clause specification. The search language is exposed to users (typically, IT administrators), and one or more builder programs within the system (each referred to as a “model builder”) are used internally to present data models to the search language. A model builder extracts data from a given type of data source (including, without limitation, a relational database system, an application programming interface (API), or the like), and enables that data to be presented to one or more constructs of the search language according to a single unified data model.

The present invention provides a method and system for evaluating wireless applications utilizing a test console, an application model builder, a test repository manager, a simulator, a test controller, test agents, and a comparator in order to test the performance of a plurality of mobile user devices on a wireless network.

An apparatus for processing data relating to software defects operates within an on-line analytical processing environment that includes an on-line analytical processing presentation tool (60). An on-line analytical processing cube model builder (32) builds a plurality of interrelated tables (22) with on-line analytical processing cube model metadata (30). The cube model (30) is configured to be processed by the associated on-line analytical processing presentation tool (60). A data extraction tool (36) communicates with a defect tracking database (10, 12) containing said data relating to software defects. The data extraction tool (36) extracts said data from the defect tracking database (10, 12), transforms the extracted data into the software defect entries, and loads the software defect entries into the tables (22).

A network security apparatus includes a packet detector detecting transmission of data packets between a plurality of hosts and a plurality of domains and defining a plurality of links therefrom. A model builder circuit receives the plurality of links from the packet detector, receives ground truth information labeling one or more of the plurality of hosts or one or more of the plurality of domains as benign or malicious, generates predictive models from the received links and ground truth information, and stores generated predictive models in a predictive model database. An anomaly detector circuit retrieves the generated predictive models from the predictive model database and uses the predictive models to label each of the plurality of hosts and plurality of domains, that have not previously been labeled by the ground truth information, as benign or malicious.

An improved system and method for building a health model is provided. A health model builder may construct a health model from instrumentation of software. To do so, the instrumentation of the software component may be mapped to states of operation of the software component and the instrumentation may be grouped together. A health model may be built with the states of operation resulting from mapping the instrumentation to states of operation of the software component and with transitions between the states of the health model that represent an occurrence of instrumentation in an instrumentation group. The system allows for identification of anti-alert instrumentation to be added where instrumentation is missing for reporting recovery from failure. Moreover, a blame component may be identified for any instrumentation of a software component that indicates it failed because of another software component.

A system and method for automatically discovering topical structures of databases includes a model builder adapted to compute various kinds of representations for the database based on schema information and data values of the database. A plurality of base clusterers is also provided, one for each representation. Each base clusterer is adapted to perform, for the representation, preliminary topical clustering of tables within the database to produce a plurality of clusters, such that each of the clusters corresponds to a set of tables on the same topic. A meta-clusterer aggregates results of the clusterers into a final clustering, such that the final clustering comprises a plurality of the clusters. A representative finder identifies representative tables from the clusters in the final clustering. The representative finder identifies at least one representative table for each of the clusters in the final clustering. The representative finder also arranges the representative tables by topic as a topical directory and outputs the topical directory.

The invention provides simulation prediction method for dynamic evolution simulation of urban greenbelt based on geo-cellular automata and multi-agent, which belongs to a technical field of geographic modeling and urban planning. Firstly, change data is obtained by overlay analysis and transition analysis of urban greenbelt thematic maps at two periods of time. Time and space configuration rules of the urban greenbelt are established by combining with a statistical model of urban greenbelt change and based on a multi-agent system theory, and a dynamic simulation model of the dynamic urban greenbelt is configured by adopting cellular automata; a logistic regression model is configured by combining with evolution of nature rules; parameters of the module according to social economic data are adjusted and reasonable expansion and transition rules are determined ; and a model builder toolset is established based on a powerful spatial modeling and analysis capability of GIS, by which simulation and prediction of the urban greenbelt change trend is carried out. The method in the invention realizes dynamic evolution simulation for the urban greenbelt, and is capable of providing assistant decision supports for making land use policy for government and city planners.

A speaking-rate dependent prosodic model builder and a related method are disclosed. The proposed builder includes a first input terminal for receiving a first information of a first language spoken by a first speaker, a second input terminal for receiving a second information of a second language spoken by a second speaker and a functional information unit having a function, wherein the function includes a first plurality of parameters simultaneously relevant to the first language and the second language or a plurality of sub-parameters in a second plurality of parameters relevant to the second language alone, and the functional information unit under a maximum a posteriori condition and based on the first information, the second information and the first plurality of parameters or the plurality of sub-parameters produces speaking-rate dependent reference information and constructs a speaking-rate dependent prosodic model of the second language.

A system, a method and a computer program product for managing activities in project management. The system includes an activity sensor for collecting activity data from user inputs and event logs; a model builder for creating a project model by integrating said activity data with project tasks; and a central repository for storing the project model created by said model builder. The method includes steps for collecting activity data from user inputs and event logs; creating a project model by integrating said activity data with project tasks; and storing the created project model. Accordingly, the project manager can track various activities that occurred during the project and team members can share information and knowledge.

An arrangement for creating a model for gathering measurement data about a processed substrate by a user of a plasma processing system is provided. The arrangement includes a generic model builder, which is configured for at least creating the model. The model is a relationship between a set of input data and a set of output data. The arrangement also includes an input module, which includes the set of input data from a plurality of input sources. The arrangement includes an input conditioning and validation module, which is configured for at least determining the integrity of the set or input data. The arrangement further includes a relationship module, which is configured for at least creating a set of mathematical relationships. The arrangement yet also includes an output conditioning and validation module, which is configured for at least determining the integrity of the set of output data.

A system and method for automatically creating a three-dimensional (3D) model for use in a design application, such as a transportation planning and design application that supports roadway, bridge or drainage design. A user at a client computer selects an area of interest (AOI) on a two-dimensional (2D) map, as well as one or more data sets to be used, and then submits a model creation request to a server computer. The server computer automatically aggregates one or more data sources to generate a 3D model of the area of interest. At least one of the data sources comprises a curated database. The server computer publishes or stores the 3D model into a database, for subsequent downloading to the client computer. The 3D model is a proprietary model owned by the user, and is fully editable by the user.

The invention relates to a method for measuring the leaf area, the leaf perimeter, the leaf length and the leaf width. According to the method, firstly, an acquired leaf is scanned by a scanning module, and the scanned image of the leaf is saved in the picture format. Secondly, a model is constructed by the model builder of the ArcGIS software, and the constructed model is composed of an ISO clustering unsupervised classification module, a field operation module, and an input and output module. The ISO clustering unsupervised classification module, the field operation module and the input and output module form a friendly-interface tool. Thirdly, by means of the generated tool, a leaf image and an output path are inputted, and then the area, perimeter, length and width data of each leaf in a folder are generated. The method aims to provide a novel method for spatial analysis and graphics by means of the ArcGIS software. The tool is constructed by the model builder, and then accurate leaf parameters, including the leaf area, the leaf perimeter, the leaf length, the leaf width and the like, can be automatically acquired in batches.

The invention discloses an automatic test system based on scene description. The automatic test system includes a rule base, an object attribute extractor, a scene model builder, a parsing engine, a path constraint extractor, a core controller, a constraint solver, a solver adapter, a test case generator, a test case library and an optimization engine. According to the automatic test system, attributes of a test object are extracted according to the specific rule base and added to a scene model, the information of the model itself and a heuristic information analysis model extracted from the test case library are combined to automatically generate a test path, a corresponding test input is generated by using the constraint solver, the test path and the test input are integrated to generatea test case and the test case is optimized. While ensuring test adequacy, the test cost of a manual test is reduced, and the test efficiency is improved. The invention also discloses an implementation method of the automatic test system based on scene description.

The model builder may generate a model object, and initiate the solver to determine whether the model object has constraints that effect the model object. The solver can generate solution data these constraints. The solver may pass any solution data it obtains to the solution display generator, so that the user can view the solution data while the user is building the model with the model builder.

A system and related method for building and deploying one or more inference models for use in remote condition monitoring of a first fleet of a first asset. The system includes model configuration data for subsequent use by a model builder application to construct one or more desired inference models for the first asset. The model configuration data is customized to the first asset and the desired one or more inference models, and is provided in a format which is easily readable and editable by a user of the system. The model configuration data is separate from the underlying processing algorithms which are employed by the model builder application in the constructing of the one or more desired inference models during a learning mode of operation of the system.

The invention relates to a construction method of a compact electromagnetic band gap (EBG) structure for eliminating high speed circuit noise. Based on a coplanar compact EBG structure, the method has 5 steps: 1. establishing a power supply system of a printed circuit board in electromagnetic simulation software CST according to the general design norms of printed circuit boards; 2. editing a power source plane of a power supply distribution system into a novel plane compact EBG structure by a model builder of the CST software; 3. intercepting a unit of the compact EBG structure in the CST software for carrying out dispersion graph analysis and adjusting the structure of the unit; 4. adding a dispersion port, calculating the transmission S parameter of the power supply system and optimizing the structural dimension in the CST software to obtain required gap indexes; and 5. adopting a two-sided copper-clad plate to manufacture the EBG structure according to the determined optimal dimension in step 4. The method provided by the invention improves planar power supply area of the power source and inhibits the high frequency part and the ultrahigh frequency part of the noise of the power supply system.

A system for rating job transitions includes a probability determiner for determining a set of probabilities, a grouper for determining a group of job transition histories, a filter for determining a subset of job transition histories from the group of job transition histories by filtering based at least in part on a transition characteristic, a normalizer for determining a model set of job transition histories by normalizing the subset of job transition histories, a feature vector extractor for determining a set of feature vectors using the model set of job transition histories, a model builder for determining a model based at least in part on the set of feature vectors, and a rater for rating potential job transitions of a selected employee based on the model using a set of test feature vectors.

The invention provides a method for converting an architecture model into a simulation assembly. The method comprises the following steps: S1 reading definitions in a source DoDAF (Department of Defense Architecture Framework) model and acquiring data definition information in the source DoDAF model; converting the acquired information into a data type definition used by the simulation assembly; S2 reading definitions and views in the source DoDAF model and acquiring system definitions and system relation information; converting the acquired information into a definition of the simulation assembly; and S3 reading the views in the source DoDAF model and acquiring data stream information; and converting the acquired information into a communication data definition of the simulation assembly. Therefore, the development and the application of the simulation assembly accurately carry on a design result of architecture and a design restriction of simulation application deviation architecture is avoided; a simulation model builder does not need to build a simulation model according to the architecture so as to relieve the working amount of building the simulation model and improve the simulation application and development efficiency.

Provided is an incorrect triple detection system including a triple selector configured to select a target triple (subject, type, object) in a knowledge base, a sampler configured to create a sentence model by connecting object triples sharing entities included in the target triple, a model builder configured to embed the sentence model into a vector space to create a training entity vector and build an embedding model, and an incorrect triple detector configured to detect an incorrect triple by inputting a test triple into the embedding model.