98 results about "Process description" patented technology

The invention relates to a knowledge graph and discloses a knowledge graph representation learning method for integrating text semantic features based on an attention mechanism. The method solves theproblems that semantic features are insufficient due to the fact that a translation model does not utilize description texts of entities and relations, semantic features cannot be fused into entitiesand relations at the same time by a multi-source information embedding method, and the text extraction effect is poor. The method comprises the steps of firstly obtaining and processing description texts of entities and relationships to obtain text semantic features of the entities and the relationships, then constructing a projection matrix of the entities by utilizing the semantic features of the entities and the relationships, projecting entity vectors into a relationship space, modeling in the relationship space by utilizing a translation thought, and carrying out representation learning,so as to model a many-to-many complex relationship. The method is suitable for representation learning of the knowledge graph.

The invention relates to a modeling system and method for a visual machine learning training model. The modeling system for a visual machine learning training model includes a process designer, a process analyzer, and a process scheduler, wherein the process designer is used for according to dragging operation of the graphic algorithm component selected by a user, establishing the data flow direction between the algorithms in the graphic algorithm component, and generating the process description language; the process analyzer is used for analyzing the process description language generated from the process designer, creating the corresponding learning component, and generating the corresponding Spark learning pipeline; and the process scheduler is used for submitting the Spark learning pipeline to a Spark cluster to perform model training. By selecting the corresponding graphic algorithm component, establishing the data flow direction between the algorithms through dragging, generating the process description language, analyzing the process description language, creating the corresponding learning components according to the node class name and the attribute, generating the corresponding Spark learning pipeline, and submitting the Spark learning pipeline to the Spark cluster for performing model training, the modeling system and method for a visual machine learning training model can realize high quality machine learning modeling.

An integration platform for managing long term processes. The platform includes a runtime engine that manages the process instances and communication with the processes to provide Web services. The runtime engine includes an execution engine module and a prediction module. The prediction module generates predictions for executing processes for inbound and outbound messages and eventual process outcomes. The predictions may be utilized when requisite data is unavailable or under defined circumstances. The prediction module utilizes process history, process description and process state data to generate relevant prediction data. The prediction module may include a learning module that applies analytical algorithms to the process history and descriptions to create models for use by the prediction module.

A system for providing integrated system solutions includes a set of process descriptions; a set of work product descriptions; and engagement models collecting the process descriptions and work product descriptions into a models for implementing typical projects addressing marketplace requirements. A systems integration method includes the steps of defining an engagement model which will be used to address a market place requirement; utilizing the engagement model to create an engagement template which specifically addresses client requirements within the market place; and measuring, monitoring and controlling client engagements based upon the engagement model.

Conceptual Process Redactor (CPR) is a method and system, for describing and translating conceptual descriptions of objects and their methods to OOPS object layouts and methods. CPR utilizes conceptual structures (C-structures or CPR classes), to describe information. C-structures are hierarchical information structures, and each hierarchical path is considered as a CPR data type. Thus, instead describing data in terms of OOPS data types, which are bound to storage layouts of the underlying machines, CPR describes data in terms of CPR data types, which may be regarded as concepts. The CPR translator, translates the CPR data types to their Oops equivalents by making use of Type Translation library, supplied with the CPR class description. CPR data types are unique within the class they are defined, and hence serve to identify the field as well describe a data type. Thus, a typical usage like Part quantity field of sales order header is now a data type in its own right, as well as a field. The uniqueness of the CPR data types is made use of in identifying the parameters of a method, if the context in which the method is invoked in known a priori. The CPR system provides a mechanism, called collaboration, to conceptualize process descriptions. As per collaboration, a group of objects may collaborate to accomplish a particular task (method). The collaboration serves as a context, and hence method invocations in CPR may omit the parameters, and these are identified from the collaboration. Each object acts as a client and the rest of the objects and temporary variables, act as servers. The client/server relationship is made use of by process descriptions called CPR Interface groups, which are specified for each of the collaboration objects, participating in the collaboration. In addition, to the intra object client/server relationship, objects are broadly classified as data sources or data containers, where the first form is considered as a sequential representation of data, and the latter form is considered as a random representation of data. Each data source may be grouped with zero or more data containers, and each such group is called a collaboration group. One or more collaboration groups may be specified in a table called the collaboration table, and collaboration groups with sequential group numbers are considered as a logical unit of execution. Thus, collaboration groups and the associated client/server relationship between the objects in the collaboration groups, may be used to conceptualize fairly complex method descriptions. The CPR translator will translate the process descriptions specified as CPR Interface groups for the collaboration objects into oops methods. The CPR runtime system provides necessary support to access/update the collaboration objects, and to invoke the oops methods generated during translation.

The invention belongs to the technical field of robot path planning and discloses a robot optimal energy efficiency path planning method based on an improved A algorithm. According to gradient characteristics of a three-dimensional terrain environment and geometrical properties of robot motion, an energy cost consumption model is established, and a starting point and a target point are determined;by combining the basic principle and process description of an A* algorithm, a heuristic evaluation function of the A* algorithm is determined; the neighbor node searching mode of a traditional A* algorithm, namely multi-neighborhood search, is improved, traditional 8-neighborhood extension is changed into 24-neighborhood extension; the improved A* algorithm is executed to output an optimal energy efficiency path. The turning times of paths are decreased by adopting the method, the improved strategy of multi-neighborhood search is proposed, the energy consumption for finding the optimum energy efficiency paths of the improved A* algorithm is lower compared with a traditional A* algorithm, the turning times of paths are also decreased relatively, and the method has effectiveness and reliability.

The invention discloses a steady state operational control method of a fuel cell engine, belonging to the technical field of new energy fuel cell hybrid power. In the method, a prediction model based on random process description is established according to the information provided by a guided system; the power required by the fuel cell engine is estimated; the dynamic power requirements of a finished automobile is decomposed into a steady state average power provided by fuel cells and an instantaneous auxiliary power provided by power batteries through prediction on traffic power of the next road section and detection combining with the power battery state; the fuel cell passive output energy mode is adjusted to be active prediction output through a DC-DC converter, thus realizing steady state operation of the fuel cell engine. The rate of variation is realized through setting a limit value or a variation curve. The steady state operational control method of the invention reduces dynamic load borne by the fuel cell engine, effectively improves durability of the fuel cell engine, realizes coordination control of each internal part of the fuel cell engine and the engine output energy, and greatly reduces the system cost.

The utility model relates to a payment terminal which can be customized as required, comprising a crust and a terminal device, wherein the terminal device comprises a communication module, a display screen and a card reader at the exterior of the crust, a main memory and a micro memory in the interior of the crust, a destructive mechanism respectively connected to the main memory and a PSAM card, a process description table and a security module contained in the main memory and the micro memory, and a main control unit respectively connected to the process description table and the security module, a system module, a business module, and a terminal renovation module which are respectively connected to the main control unit. And the security module is connected with the PSAM card. The invention realizes calling various modules according to a certain order through setting and reading the process description table, so as to complete business's being customized as required. Moreover, the invention needs not to open terminals when updating and increasing keys, thus enhancing the practicability and the flexibility.

The invention discloses a business process management method and system. The method includes the steps that when a target business process needs to be established, the process type of the target business process is determined, and a corresponding target type is obtained; a process blank template corresponding to the target type is screened out from a pre-established database, and a target blank template is obtained; process description information, corresponding to the target business process, input by a user is acquired, and the process description information is guided into the target blank template in order to carry out corresponding parameter configuration on the target blank template, and a configured template is obtained; a corresponding UI interface is added into the configured template, and a target business process is obtained. It is not needed to independently research and develop the target business process out of nothing, the labor cost and time cost needed by process establishment can be greatly reduced, and the overall management efficiency of the business process is improved.

A computer aided design (CAD) system. A template generation engine generates templates from interconnect configuration files. A field solver generates high frequency passive element relationships from the templates. A circuit builder generates circuit description files from device technology models and from high frequency passive element relationships. Parameterized circuit description models may be generated for large range of sensitivity analyses. A simulator simulates circuit responses for transmission line models from the circuit description files. Interconnect configuration files may be generated by a geometry and material definition module that receives process description data from a designer.

An object-oriented, computer-based system for developing simulation models is provided. The system comprises one or more base objects and one or more graphical processes, wherein new objects are created from base objects by a user by assigning one or more graphical processes to the base object(s). New objects are created without the need for methods or computer programming. A model is built by creating objects that represent the physical components of the system being modeled into the model, and then running the model.

The invention belongs to the field of software, and provides a database kernel query optimization method based on an equivalence class. The method comprises the steps of using a function for processing description after the keyword 'from' and before the keyword 'where' in sql sentences after inquire statements enter a sub query optimizer, processing a nest tree structure with explicit connection or a linked list with no connection mode assigned, extracting list information, obtaining list objects, initializing the Col and Eclass bit variables contained by the list objects, and filling a linked list RELS; processing the restricted condition linked list 'quals' after the 'on' and after the 'where' in the sql sentences, and carrying out transmission on the restricted conditions according to the Eclass bit variables; entering an enumerator, enlarging planed searching space according to the Eclass bit variables, enumerating more equivalence plans, and entering a cost calculator to count cost; obtaining the plan with the minimum cost as a final execution plan, wherein the execution plan is compiled into an execution tree, and the execution plan is sent to an actuator to be executed. The database kernel query optimization method based on the equivalence class has the advantages of being high in performance.

The invention discloses a device for supporting customization and running of software-as-a-service (SaaS) application processes. The device comprises a tenant perception agent module, a process description module, a process data mapping module, an execution manager and an original process engine, wherein the execution manager comprises a process deployment module, a process creation module and a process running module. The invention also discloses a method for supporting the customization and the running of the SaaS application processes. The device and method support loose coupling of process construction and business services; a developer only needs to develop basic business services; tenants are supported by the device to orchestrate complicated business processes, and thus, current process information can be automatically acquired to realize process variable access and driving of the business processes; mapping and isolation of processes of multiple tenants are realized; the device and method support that multiple tenants share one process engine; the processes of the tenants are not disturbed mutually; and software resources are fully utilized.

A process is described based on activities and dependence relationship between the activities. The dependence relationship is described based on resource and coordination method. An epistemological ground is set corresponding to the domain of the process and other components of the process are described for each epistemological ground. The epistemological grounds are classified according to abstract-concrete relationship, inclusion relationship, cluster relationship, etc., and are retrieved. The activity, dependence relationship, and resource also have classification structures. Setting an epistemological ground or using a global epistemological ground, the activity, dependence relationship, and resource are defined and the process is described and analyzed.

An embodiment of the invention discloses a method for processing description information of an application program. The method includes acquiring an installation package of the application program, and acquiring the description information of the application program from the installation package of the application program. The embodiment of the invention further discloses a system for processing the description information of the application program. By the method and the system, misleading for a user due to mistaken-description-information reading caused by mistaken network transmission or mistaken correspondence setting can be avoided, so that labor and time for correlating different description information with the application program one by one in advance are not needed, and the labor, the time and cost are effectively saved.

The present invention provides a process automation method and system in a remote sensing application. The method comprises: creating a visual remote sensing application process model by means of a process model editor; converting the visual remote sensing application process model into a process description language; and parsing the process description language by means of a process scheduling engine and executing a corresponding remote sensing application process. According to the method and system provided by the present invention, a complete process from process model editing, process description language generating to a process scheduling engine is realized; the problems of relatively complicated usage of traditional process scheduling software and a variety of limitations to an operation of a complex process are solved, so that a complex and varied processing flow in the remote sensing application is satisfied.

Embodiments of the present invention address deficiencies of the art in respect to ad hoc music creation to facilitate learning and provide a method, system and computer program product for the automated generation of a song for process learning. In an embodiment of the invention, a method for automated generation of a song for process learning can include loading from fixed storage a process description for transformation into a song intended to facilitate learning of the process by a target listener. The method also can include defining lyrical segments for the process description, selecting a particular melody from a set of melodies stored in fixed storage, and mapping the defined lyrical segments to musical phrases in the particular melody. Finally, the method can include merging pre-recorded audio segments corresponding to the defined lyrical segments with the musical phrases in the particular melody according to the mapping to generate the song.

A description file that includes multiple statements written in a customizable, tag-based interpreted language for processing data contained in the messages is disclosed. A data shaper translates and then executes each statement in the description file. The customizable, tag-based interpreted language, defines the operational behavior of the data shaper. The operational behavior shapes data contained in the messages to produce publishable matter suitable for online presentation.

The invention provides an automatic service arrangement method based on parameter driving. The method comprises defining a plurality of atomic services, wherein each atomic service comprises an attribute, a parameter template registration method and an automatic execution method, the parameter template is used for bearing API parameters, the parameter template registration method is used for registering and calling all parameters required by the API, and the automatic execution method is used for acquiring all parameters required by the API and automatically calling the API; defining a processdescription file which comprises a plurality of ordered automatic execution links, and respectively binding an atomic service; generating a process template according to the process description fileand extracting a parameter template required by each atomic service in the process template; generating a process instance according to the process template and obtaining a parameter value required byeach atomic service in the process instance; and executing the process instance, automatically executing the atomic service in the process instance, and automatically calling the API service by the atomic service according to the acquired parameter value. In addition, the invention further provides an automatic service arrangement device based on parameter driving.

The invention belongs to the technical field of three-dimensional animations, and particularly relates to an organization and control method of a three-dimensional animation process based on Mealy finite state automatas. According to the method, the three Mealy finite state automatas including the animation state machine, the binding state machine and the process controller are structured; the animation state machine controls part of animations of the whole animation process; the binding state machine achieves the father-son dependence relationship between different three-dimensional models so as to bind the models; the process controller controls the animation state machine and the binding state machine, and then the whole animation process is organized. In addition, an animation controller is structured and used for controlling play of part of the animations, a process description file format easy to edit and a message structure are provided, an analysis result of the process description file is obtained from a process file analyzer under the medium of a message router, the process controller can control other state machines, and consequentially the whole animation process is organized and controlled.

The invention provides a business process processing method and device and a computer readable storage medium, and the method comprises the steps of responding to an execution instruction, sent by a client, for a target business process, and determining a target process configuration file corresponding to the target business process from a preset database, wherein the preset database comprises a process configuration file corresponding to each business process, the process configuration file comprises a plurality of process nodes, and the process nodes comprise process description information;determining a to-be-executed target process node in the process configuration file, and obtaining target process description information of the target process node; and triggering to execute the corresponding target data processing task or target data acquisition task according to the target process description information of the target process node, and sending an execution result to the client.In the development link, the operation of deploying execution codes is not needed, so that the development cost of the business process is reduced.