222 results about "Data architecture" patented technology

Robotic surgical tools, systems, and methods for preparing for and performing robotic surgery include a memory mounted on the tool. The memory can perform a number of functions when the tool is loaded on the tool manipulator: first, the memory can provide a signal verifying that the tool is compatible with that particular robotic system. Secondly, the tool memory may identify the tool-type to the robotic system so that the robotic system can reconfigure its programming. Thirdly, the memory of the tool may indicate tool-specific information, including measured calibration offsets indicating misalignment of the tool drive system, tool life data, or the like. This information may be stored in a read only memory (ROM), or in a nonvolatile memory which can be written to only a single time. The invention further provides improved engagement structures for coupling robotic surgical tools with manipulator structures.

A reservation management system includes at least one processing node that includes a memory and a processor. The at least one processing node further includes a set of reservation processing and transaction modules that manage and process reservation requests and inquiries. At least one general purpose database is communicatively coupled to the at least one processing node. The at least one general purpose database includes a set of pre-allocated tables of fixed length records. At least one persistent storage device is communicatively coupled to the at least one processing node. The general purpose database persistently stores the set of pre-allocated tables of fixed length records on the at least one persistent storage device.

The event-driven queuing system and method (“EDQS”) comprises at least one each of a client, supervisor, and worker, together with network communications between each client and supervisor and between each supervisor and worker, and a component selected from the group comprising EDQS messaging architecture, EDQS job routing, EDQS event / callback architecture, EDQS job type data architecture, and the EDQS domain specific language. The EDQS typically provides arithmetical increases in dispatch time as jobs and workers are added to a farm, substantial improvements in processing jobs based on the status of one or more other jobs in a process group, and substantial improvements in the use of standalone or clustered heterogeneous platforms in a farm.

A network operating system NOS for an agile optical network with a plurality of mesh interconnected switching nodes, manages the network using an object-oriented network information model. The model is common to all applications requiring the data stored in the network managed information base. The core model can be expanded for serving specific application areas. The NOS is organized in layers, at the optical module level, connection level and network level. A distributed topology server DTS organizes the physical, logical and topological data defining all network entities as managed objects MO and topology objects TO for constructing a complete network view. The network information model associates a network element NE information model, specified by managed objects MO and a topological information model, specified by topology objects TO. The MOs are abstract specific NE data that define network implementation details and do not include any topological data, while the TOs abstract specific topological data for defining a trail established within the network, and do not include any NE data. The models are associated in a minimal number of points to construct the model of a trial in response to a connection request.

A data architecture provides mobile clients with the ability to gain access to business enterprise data sources through configurable Views that interface with the data sources through Data Objects that are defined by Commands, which in turn communicate with the data sources through Connectors (also referred to as Adapters). Each type of View will interface to the data sources with a different functionality so that communications links and other system resources can be used more efficiently. The View types can include Direct Views, Derived Views, Delegated Views, and Definition Views.

A data validation architecture is provided that minimizes duplicate code and enables easy creation of new validations using a high-performance and scalable design. Such an architecture provides sufficient flexibility to disable certain validations when they are not applicable to the flow, interpret validation failures differently according to requirements of the calling application, and specify the type of document for which a particular validation is applicable. The architecture provides a standardized flow for performing data validation, specifying a set of required parameters for validation subroutines, as well as where validation results are to be stored for access by a calling program. Such an architecture also provides a framework for performing common processing required for most validation flows without restricting the flexibility of the validation subroutines.

The capability to design and implement roles in a role-based system is disclosed. The system and data architecture enable organizations to model and assign relationships between Roles and other entities in a computing environment. The complex interrelation of Groups and Roles is established in an environment where: users need not be a member of a Group to use the capabilities of a Role; Role ownership is distinct from Role usage; and Roles themselves have attributes. A collection of methods enable creation, configuration, maintenance, ownership and usage of roles and for implementing relationships between the Role and other system entities, attributes and permissions.

A computer implemented device is described that is adapted for improving memory efficiency for conducting machine learning on multi-dimensional vectors stored as specially configured data structures. The device includes network interfaces adapted for receiving data sets and communicating with data harvesting applications, as well as data storage and memory for storing the configured data structures. The multi-dimensional vectors and the system provide a data architecture that processes disparate data sets to programmatically extract features transformed from raw information, the extracted features stored in the form of data values suitable for conducting data approximations and neural network processing.

Data architectures provide for managing Quality of Service (QoS) and / or bandwidth allocation in a Regional / Access Network (RAN) that provides end-to-end transport between a Network Service Provider (NSP) and / or an Application Service Provider (ASP), and a Customer Premises Network (CPN) that includes a Routing Gateway (RG). The data architecture includes a NSP access session record maintained at the RAN that defines QoS and / or bandwidth allocation for an access session, such as a Point-to-Point (PPP) access session, associated with the RG and the NSP. A corresponding NSP access session record is maintained at the NSP associated with the access session. The NSP access session record at the RAN and the corresponding NSP access session record at the NSP both define a QoS and / or bandwidth allocation specified by the NSP associated with the session or both define a QoS and / or bandwidth allocation specified by the RAN. An application flow record maintained at the RAN defines QoS and / or bandwidth allocation for an application flow associated with the RG and the ASP. A corresponding application flow record is maintained at the ASP associated with the application flow. Both the application flow record at the RAN and the corresponding application flow record at the ASP define a QoS and / or bandwidth allocation specified by the ASP.

A single instance, multi-tenant procurement system, includes an access module to provide access to a plurality of end users associated with an organization to their respective accounts, each account being customized by a super user of the organization, a search engine to execute searches for products offered by one or more suppliers, a transaction module to process and track one or more requisitions generated by the plurality of end users, a business rules module to apply business rules established between the organization and the one or more suppliers to process the requisitions, and a data repository to store data generated on the system.

The initial systems analysis of a new data source fully defines each data element and also designs, tests and encodes complete data integration instructions for each data element. A metadata cache stores the data element definition and data element integration instructions. The metadata cache enables a comprehensive view of data elements in an enterprise data architecture. When data is requested that includes data elements defined in a metadata cache, the metadata cache and associated software modules automatically generate database elements to fully integrate the requested data elements into existing databases.

The invention discloses an electronic government affair system construction method based on block chain technology. According to the method, a distributed decentralized data architecture which is developed along with digital encrypted currency and is called as a block chain and a data operation mode are applied on the field of electronic government affair. The block chain is obtained through linking many blocks with same structures. The blocks are utilized for finishing packaging of government affair data with time stamps, a distributed networking propagation mechanism and a consensus algorithm task of distributed nodes. Government affair standard management level and handling efficiency can be greatly improved. Furthermore, according to the method, a D-H asymmetric encryption algorithm is applied in the block chain; and a public key password and a private key password which are different from each other are used for performing encryption and decryption. Safety of a government affair information database can be remarkably improved. The whole model architecture and the operation mechanism of the block chain ensure wide application space of the block chain in the field of electronic government affair.

The invention discloses an engineering investigation information digital collection, management and integrated application method. The method is realized jointly through a desktop management subsystem and a mobile device collection subsystem and completed at a PC desktop terminal and a PDA mobile terminal, and the whole process is carried out based on the same data architecture and the same data model. The method and technology for engineering investigation information resource collection and production, organization and management to diversified utilization are suitable for collection, management and utilization of investigation information resources in all industries and can be directly applied and popularized in engineering investigation of all industries.

The claimed invention relates to a system and method for generating actionable intelligence and information by utilizing a multi-sensor, multi-temporal; multi-spatial, multi-format data (mSTSFA) architecture stored in a NoSQL data architecture to qualify spatial (accuracy) and contextual information integrated into a real time Engineering Grade location based analysis and predictive analytics engine returning users based queries in a 3D visualization including Virtual Reality (VR) / Augmented Reality functionality. The present invention is a systemized platform for handling geospatial, geophysical, financial, temporal and attribute data input directly to analyze the datasets to serve the operational and business needs of the industries such as transportation, water, environmental, engineering, telecommunication, finance, energy, natural resources, defense and security.

Methods and apparatus are provided, as an aspect of a combined CPU / APD architecture system, for discovering and reporting properties of devices and system topology that are relevant to efficiently scheduling and distributing computational tasks to the various computational resources of a combined CPU / APD architecture system. The combined CPU / APD architecture unifies CPUs and APDs in a flexible computing environment. In some embodiments, the combined CPU / APD architecture capabilities are implemented in a single integrated circuit, elements of which can include one or more CPU cores and one or more APD cores. The combined CPU / APD architecture creates a foundation upon which existing and new programming frameworks, languages, and tools can be constructed.

The invention discloses an ontology model-based knowledge graph construction method. The method comprises the steps of firstly constructing multiple ontology models by data stored in a relational database through a unified data access method from the perspective of fully utilizing data values in an existing command information system; secondly constructing an ontology model relationship by utilizing a relationship among fields in an original database table, and finishing construction of a data relationship graph under an existing data architecture; thirdly obtaining all entity data under the ontology models, and constructing an entity data relationship by utilizing ontology model association parameters, thereby forming an entity data relationship network; and finally storing the ontology models, the entity data and the relationships in a graph database in an adjacent table manner, and realizing a graph structure-based index technology. The relationships can be constructed for data ontologies and entities in any relational database; a knowledge graph is quickly constructed; business personnel are assisted to master the data relationships; and existing data is fully utilized.

The invention discloses a cloud computing system towards multiple tenants. The cloud computing system towards the multiple tenants is characterized by storing tenant data in different modes according to different requirements of the multiple tenants for data isolation; using an independent database to store the tenant data for the tenants who require high isolation, and using a shared database to store the tenant data in shared data architecture mode for common users. The cloud computing system towards the multiple tenants further introduces hierarchical management into a traditional access control model based on roles. Compared with the prior art, the cloud computing system towards the multiple tenants can meet user demands for different quality levels well, improves safety of an SaaS (software as a service) application platform, and improves right control management efficiency.

A computer-implemented rules based decision management system which is cross-platform, cross-industry and cross-function. The decision management system has a software architecture which includes a common code layer, a processing platform layer and a data architecture layer. The common code layer includes a common code kernel simultaneously operable on first and second hardware platforms which are different from each other, and provides software processing to interpret and apply the strategies. The processing platform layer includes a first software module supporting a processing mode for the first hardware platform, and a second software module supporting a processing mode for the second hardware platform. The data architecture layer includes a first data module supporting data storage and access by the first software module, and a second data module supporting data storage and access by the second software module.

The present invention extends to methods, systems, and computer program products for determining capability interdependency and analyzing risks in business architectures. Accordingly, embodiments of the invention can be used to drive an understanding of the relative interdependency (complexity) of a capability and how capabilities impact one another. Connectedness and / or data exchanged between capabilities can be used to formulate relative interdependency (complexity) of a capability and can be analyzed to inform a number of strategies from data architecture and business intelligence and project risk. Other risk / impact analysis data can be combined with interdependency (complexity) to present risk / impact analysis scenarios for organizations.

Exemplary storage network architectures, data architectures, and methods for performing backup operations in a storage network are described. An exemplary method can be implemented in a processor in a storage network. The method comprises: generating a snapshot clone of a source volume at a first point in time; simultaneously activating a first snapshot difference file logically linked to the snapshot clone; recording an I / O operation changing a data set in the source volume to the first snapshot In the differential file; close the first snapshot differential file; after the first point in time, generate a backup copy of the snapshot clone at the second point in time; and after the second point in time, generate the backup copy of the first snapshot differential file at the third point in time Backup copy.

The invention relates to a system structure of power generation group-level hydro-power generating unit distributed state monitoring and diagnosis platform construction. The system structure includes an overall technical architecture, a business architecture, an information / data architecture, an application architecture, a technical architecture, infrastructure and the like. According to a platform, based on unified codes, three levels of data centers are established to realize distributed data acquisition, storage and application; data are divided, pushed and extracted according to data characteristics and application requirements, so that network communication pressure and data maintenance quantity can be can effectively reduced, and therefore, the real-time performance of the data can be enhanced; application modules of the platform provide an application market which can provide application services for 9 levels of user roles according to needs; and mutual communication and sharing of information such as monitoring data, control dispatching, diagnosis results and policy-making instructions between a monitoring and control system, a regional centralized control analysis and diagnosis system and a group monitoring and diagnosis system of a station can be realized, and solutions can be provided for the power generation group-level hydro-power generating unit distributed state monitoring and diagnosis platform construction.

A computerized system is provided for modeling a business process, the computerized system comprising a web server and a database server. The web server implements a user interface to the system. The database server is in operable communication with the web server and comprises a data architecture representing the business process. The data architecture comprises an entity model representing an entity responsible for implementing at least a portion of the business process, a transaction model comprising at least one step defining a business process, a list model representing at least one step in the transaction, the list model comprising a list of at least one entity associated with the transaction; and a task model associated with the list, the task model defining at least one task associated with the at least one step in the transaction.

In a road data frame for displaying road maps, each node / link data record describing a link corresponding to a road part includes link identification information identifying an original link, and auxiliary link identification information used for identifying a plurality of alternative links which substitute for any of the original links in the map data. In a route planning data frame for route planning, each connection record describing the interconnection of nodes also includes corresponding link identification information identifying an original link, and corresponding auxiliary link identification information used for identifying a plurality of alternative links which substitute for any of the original links in the map data. By means of identification information of the original link and auxiliary links, it is facilitated to identify the correlation among links in the road data frame and the route planning data frame having different versions.

The invention discloses a user internet behavior collecting method and system and a user internet behavior analyzing method and system, wherein fields are increased dynamically according to analysis requirements, and rapidness and efficiency of field increase are ensured at the same time. The technical scheme disclosed by the invention is as follows: the dynamic increase problem of user internet behavior analysis dimensionality is solved by adopting a column-store data architecture, that is to way, fields of a data list are not of a fixed mode, but are increased dynamically according to the analysis requirements, and rapidness and efficiency of the field increase are ensured at the same time. Besides, according to the invention, the problem of low efficiency of mass data traversal query of user internet behaviors is solved by adopting a Key-Value cloud platform parallel query method, the internet behavior of certain user can be analyzed by adopting a Key-Value matched parallel computation query method rather than traversing the whole data list, and thus the query efficiency of user internet behavior analysis is greatly improved.

A database system for data storage and retrieval generally includes a transactional database having a distributed data architecture providing real-time access to a dynamic data set configured to accept a query expression to the transactional database is abstracted from at least one underlying data structure of the transactional database. The database system includes a user interface configured for users to query the transactional database via queries using the query expression. The transactional database delivers a response to a query that reflects a current state of data in the dynamic data set.

A method for receiving a plurality of types of data within a cognitive information processing system environment comprising: receiving data from a plurality of data sources, the plurality of data sources comprising a public data source and a private data source the public source comprising a public blockchain data source, the private data source comprising a private blockchain data source; accessing information from the plurality of data sources via a cognitive data management module, the information comprising public blockchain information and private blockchain information; and, providing the information to an inference and learning system.

Aspects of a method and system for indicate and post processing in a flow through data architecture are presented. Aspects of the system may include a network interface controller that enables storage with zero copy of at least a portion of a plurality of received messages based on policies that may be enforced by the network interface controller and based on ULP provided buffers. The network interface controller may enable generation of a signal to a host processor that processes some of the stored plurality of received messages based on the policies that may be enforced by the network interface controller.