508 results about "Domain model" patented technology

Consistent enterprise and cloud security profiles are enforced. A domain model describing cloud resource objects associated with an enterprise is defined. Further, a relationship map describing relationships between the objects of the domain model and roles of enterprise users described by local security profiles maintained by the enterprise is specified. The domain model and relationship map collectively form an access policy for the cloud resource objects. Network traffic is monitored to detect network traffic attempting to configure a cloud security profile describing permissions of an enterprise user with respect to cloud resource objects in a manner inconsistent with the access policy. Detected network traffic attempting to configure the cloud security profile in the manner inconsistent with access policy is remediated.

A method for role-based personalization of a collaborative space can include generating a collaborative space utilizing role information for an interacting user that has been defined by an underlying business process model in a workflow. For example, the step of generating a collaborative space can include parsing the workflow to extract a role model, generating a collaborative space domain model from the role model, selecting a plurality of user interface components based upon the role model, organizing the selected user interface components in the collaborative space, and rendering the collaborative space.

Normalized output texts, such as rundowns or summaries, from raw texts belonging to a given domain are produced. The normalized output text may be generated in different languages and may take into account a user's interest. To this end, linguistic resources associated with a model of the domain are used both for input text analysis and output text generation.

The invention discloses a model training method for cross-domain sentiment analysis based on a convolutional neural network, belongs to the field of cross-domain sentiment classification, and aims tosolve the problem of cross-domain sentiment analysis. The method comprises: S1, preprocessing a text; S2, training a word vector model; S3, performing cross-domain model migration; wherein the step S3is carried out in sequence; a neural network model is trained through a source domain; migrating the trained model. Firstly, a weight value of a convolution kernel in a model is shared, a convolutionkernel weight trained in a source domain is used for extracting corresponding features in a target domain, a small part of data in the target domain is trained again, parameters of a full connectionlayer weight of the previously trained model are adjusted, and the effect is that model migration is conducted on a cross-domain emotion text.

A materials characterization method models dynamic, non-linear, temperature-dependent stress, strain, hysteresis, creep, and loss of elasticity at high strain, both in test samples and in Finite Element Analysis (FEA). Incorporating universal properties of statistical mechanics and adapting domain models from ferromagnetics to the higher-dimensional realm of stress tensors, the model is applicable to polymers, rubbers, liquids, and metals in elastic and plastic deformation. The model quantifies the dynamics of both plastic and brittle failure. Apparatus and methods are shown for testing material samples and matching the computational model to sample characteristics, leading to a set of characterizing parameters and predictive simulations using those parameters. Though apparatus and testing protocols of the invention yield optimum characterizations, pre-existing data from conventional testing yield useful results.

A system architecture and a method for managing using a cellular architecture to allow multi-tier management of events such as the managing of the actual impact or the potential impact of IT infrastructure situations on business services. A preferred embodiment includes a high availability management backbone to frame monitoring operations using a cross-domain model where IT component events are abstracted into IT Aggregate events. By combining IT Aggregate events with transaction events, an operational representation of the business services is possible. Another feature is the ability to connect this information to dependent business user groups such as internal end-users or external customers for direct impact measurement. A web of peer-to-peer rule-based cellular event processors preferably using Dynamic Data Association constitutes management backbone crossed by event flows, the execution rules, and distributed set of dynamic inter-related object data rooted in the top data instances featuring the business services.

The present invention discloses a method for coordinating zero or more modelings, zero or more implementations and zero or more deployments of a computer system, including but not limited to computer systems involving sensors, actuators, or both and a system providing assistance to designers, implementers, and deployers of computer systems. The method and system including: defining one or more interfaces of one or more components; creating models for the one or more components, each of which is either a composite component model or a atomic component, model, creating the one or more composite components as instances of the composite component models creating the one or more atomic components as instances of the atomic component models creating a domain model by specifying the computational resources; and creating a deployment model by specifying one or more component-model instances and specifying which the component-model instances should be executed on which the computational resources of the domain model.

The invention discloses a Web data extraction method based on visual customization of an extraction template. The Web data extraction method comprises the following steps: A. pretreatment of template pages: converting and showing source codes of the template pages; B. visual customization of the extraction template: providing a drag selection function on a user interface, setting the corresponding relationship between attribute tags and data values on the template pages and attributes in a domain model by a user, and establishing the extraction template; C. setting of mass extraction frequency of the pages: extracting the crawled HTML (Hypertext Markup Language) pages in large quantity once every 8 hours; and D. mass extraction of the pages: extracting the crawled HTML pages in large quantity by the corresponding extraction template, converting semi-structured data into structured data and then storing the structured data in a local database.

A system, method, and computer program product for combining causal domain models with reasoning and text processing for knowledge driven decision support are provided. A knowledge driven decision support system is capable of creating a domain model, extracting and processing quantities of text according to the domain model, and generating understanding of the content and implications of information sensitive to analysts. An interface may be used to receive input to model complex relationships of a domain, establish implications of interest or request a query, and update the causal model. A processing element can capture and process text into text profiles by incorporating the domain model and process the text profiles in accordance with the domain model by applying formal reasoning to the information to derive trends, predict events, or arrive at other query results. An output element can provide a user the resulting information related to the domain model.

A targeted asset capture system that maps software resources to a domain model, and search and management tools for retrieving asset information and controlling asset acquisition. The domain model may include a process-centered organization and/or a structural organization of model tasks, functions, and data types. Capture includes mapping to the model functions and data types, and preferably also includes capturing other information about the asset and about the quality of mapping. The domain model may be used to build a search specification for searching for available assets that meet some or all of a set of functional (and/or nonfunctional) requirements. The search specification may also be published in part or in whole as a development specification.

The present invention provides advanced encoding and advanced reconstruction apparatus and methods enabling low bitrate, enhanced coding and quality-enhanced reconstruction, among other aspects. Preferably operating in accordance with a super-domain model, the invention enables the superimposed use of advanced coding tools such as for determining the susceptibility of image data to optimization and degradation avoidance. Other preferred tools also include multi-dimensional diffusion, registration, meta data utilization, advanced constructs, image representation optimization and efficiency optimization. Advanced decoding further enables maximized utilization of received enhanced image data and other information, also preferably in accordance with a super-domain model. Advanced encoding preferably comprises reverse-superresolution encoding and advanced decoding preferably comprises advanced superresolution decoding, which can further be conducted in a distributed and/or cooperative manner.

A method is provided for integrating model and domain semantics in business models. The method includes a business model inputting step for inputting the business model to be realized; a domain semantics locating step for locating the domain semantics of the modeling element of the business model within the domain ontology and outputting the corresponding domain model semantics; a model semantics transforming step for transforming the modeling element of the business model into business model semantics that are represented by a model ontology; and a unified semantic model forming step for combining the aforesaid business model semantics and domain model semantics and then outputting a unified semantic model. The teachings disclosed are directed to facilitate the integration and utilization of the semantics embedded in business models.

The present invention provides a method for carrying out component migration in a component-based distributed system, belonging to the software component-based technical field. The method comprises the following steps that: 1) nodes of a distributed system are divided into domain nodes and non-domain nodes; the domain nodes manage the global strategy, and the non-domain nodes are responsible for the specific execution on a present node; 2) creating an interaction management protocol between the domain nodes and the non-domain nodes for controlling the migration management; 3) creating multi-point redundancy, failure active discovery and real-time migration algorithm of the component. The component migration method of the present invention has as follows: 1) real-time; the component loading and environment binding time during the migration process is eliminated and the real-time response degree during the migration process is improved through the simplification and optimization of the global information and the component activation queue based on priority; 2) accuracy; the integrity of the information and correctness of the running state of the system are ensured by realizing the function of the backup of 'latency' state of the domain component.

Methods and systems for developing a computer application wherein a domain specific language is provided that allows for the developing of computer applications based on a configuration. In particular, the domain specific language pertains to calculation tasks. The developing of a computer application is performed at different levels or phases. In particular, these phases are the providing of an application development system in the design phase, performing the application configuration and executing the application. The design phase provides the application design environment and provides the abstract basis for the application development in the sense of configuration classes and domain-specific language. For the specific configuration of an application in a particular project, i.e. for the development of a specific application, resources as elements and their associations are defined. This configuration is stored in a configuration file. At run time, an application is generated which instantiates the resources and configured elements. Within the generated graphical user interfaces of the application the instantiated resource objects are provided and the calculation is performed according to the configured element assignment.

The invention discloses an unsupervised model parameter migration rolling bearing life prediction method, and belongs to the technical field of rolling bearing state identification and residual life prediction. The method is provided for solving the problems that in practice, rolling bearing labeled vibration data under a certain working condition is difficult to obtain, health indexes are difficult to construct, and the service life prediction error is large. The method comprises the steps that firstly, extracting root-mean-square features from rolling bearing full-life-cycle vibration data,and introducing a new bottom-to-top time sequence segmentation algorithm to segment a feature sequence into three states composed of a normal period, a degradation period and a recession period; marking the state information of an amplitude sequence of the vibration signal subjected to fast Fourier transform, taking the amplitude sequence as an input of an improved full convolutional neural network, extracting deep features, and constructing a source-domain model and a state recognition model subjected to fine adjustment through training to realize rolling bearing multi-state recognition; andestablishing a rolling bearing life prediction model by using a state probability estimation method. Experiments prove that the method provided by the invention does not need to construct health indexes, can realize rolling bearing state identification and life prediction under different working conditions under an unsupervised condition, and obtains a better effect.

The invention discloses an intelligent query interface system and a method, wherein the system comprises a domain knowledge base for storing the domain model of each candidate domain, an intelligent query interface, which the users fill in the query condition unit on and which decomposes each query of users into a plurality of query condition units, a domain matching module for calculating the matching degree between the query of users and each candidate domain according to the information stored in the domain knowledge base and selecting the most relevant domain for users reference and a query conversion module for establishing a correspondence between the user query condition units and query interface attributes and sending the generated final query to the complex integrated interface of corresponding domain.

The invention discloses a time-space condition information based moving object detection method. The method comprises the following steps: building a target detection time-space domain model through considering the significance of human visual time-space domains; calculating a conditional probability that a detection image belongs to a time-space domain reference background; carrying out nonlinear transformation on the conditional probability through negative logarithm checking so as to extract time-space conditional information; carrying out weighted summation on the conditional information of image in an adjacent domain through considering the local consistency of image characteristics; and as characteristics, carrying out object detection by using a linear classifier. The conditional probability is rapidly calculated by using a color histogram, and an image block replacing a single pixel is adopted for carrying out modeling and detection, thereby reducing the algorithm complexity and the storage space requirements; and through combining with an image block difference pre-detection mechanism, the object detection speed is increased. The method disclosed by the invention is low in algorithm complexity, less in storage space requirements and high in algorithm instantaneity, and can effectively suppress the background disturbance interference and isolate the noise influence; and by using the method, the real-time detection of moving objects on the existing computers is realized, therefore, the method is applicable to embedded intelligent camera platforms.