93 results about "Command language" patented technology

A system for controlling a rendering engine by using specialized commands. The commands are used to generate a production, such as a television show, at an end-user's computer that executes the rendering engine. In one embodiment, the commands are sent over a network, such as the Internet, to achieve broadcasts of video programs at very high compression and efficiency. Commands for setting and moving camera viewpoints, animating characters, and defining or controlling scenes and sounds are described. At a fine level of control math models and coordinate systems can be used make specifications. At a coarse level of control the command language approaches the text format traditionally used in television or movie scripts. Simple names for objects within a scene are used to identify items, directions and paths. Commands are further simplified by having the rendering engine use defaults when specifications are left out. For example, when a camera direction is not specified, the system assumes that the viewpoint is to be the current action area. The system provides a hierarchy of detail levels. Movement commands can be defaulted or specified. Synchronized speech can be specified as digital audio or as text which is used to synthesize the speech.

The intelligent system for autonomous spacecraft operations includes an on-board Autonomous Operations subsystem integrated with an on-ground Web-based Remote Intelligent Monitor System (RIMS) providing interface between on-ground users and the autonomous operations intelligent system. The on-board Autonomous Operation subsystem includes an On-Orbit Checkout Engine (OOCE) unit and an Autonomous Tasking Engine (ATE) unit. Spacecraft Command Language (SCL) engine underlies the operations of the OOCE, ATE and RIMS, and serves as an executer of commands sequences. The OOCE uses the SCL engine to execute a series of SCL command scripts to perform a rapid on-orbit checkout of subsystems / components of the spacecraft in 1-3 days. The ATE is a planning and scheduling tool which receives requests for “activities” and uses the SCL scripts to verify the validity of the “activity” prior to execution, and scheduling the “activity” for execution or re-scheduling the same depending on verification results. Automated Mission Planning System (AMPS) supports the ATE operations. The ATE uses a priority schedule if multiple “activities” are to be executed.

A computerized method, program product, and a service that discovers trace data inserted into a source database having an unknown schema. Once the trace data is found by a dynamic data discovery engine, the tables, the fields, and the attributes of the fields in the source schema in which the trace data were located can be evaluated to determine if the data in the fields are pertinent to a target database. If so, then the data in those fields can be mapped and transferred to a target database. The dynamic data discovery engine generates the commands in both the source and the target database command language to find all pertinent data, map and transfer the data from the source database to a target database. The dynamic data discovery engine generates commands to create the target database and / or fields within an existing target database for the mapped and transferred data.

A method and system for communication between server-less computing devices or clients in computers communicating over networks, such as the World Wide Web (WWW) using stateless protocols, e.g., HTTP. In this scheme there are two classes of clients which can operate independently or can be combined in computer communicating over the network: a) Clients that issue commands and request status or data, and b) clients which function as service brokers for provide services and processing commands, updating status and providing specific data. Based on the description of the latter client device it would resemble a server device but without accessible TCP / IP ports. Each service providing device is authenticated, retains a unique identity and establishes a soft state with the globally accessible server or servers. All devices and clients can compile and process a globally common command language established between all communicating network clients. The central server includes a CGI processing program and a database to retain client specific information. The server database represents a collection of queues, each having a client unique identifiable status, pending commands and / or data components. In this scheme commands and signaling transmitted between the servers and clients utilize standard HTTP protocol semantics and HTML or standard markup language syntax. Clients encapsulate or embed information as parameters passed to HTTP CGI as a set of standard HTTP conversations. A CGI processing program converts, parses or processes each conversation and passes arguments with or without data to queues. Each conversation is includes a client identification key(s) and commands which are structured as attribute-value pair tuples. The service-handler client connects to the central server and accesses the client queue on the central server to check for any pending commands or update their status in either synchronous or asynchronous manner. The synchronous server access scheme is regulated temporally by either deterministic clocking on server response or by a server based adaptive algorithm which can monitor network and client activities and optimize client access patterns.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to artificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.

The current disclosure generally relates to database management systems (DBMSs) and may be generally directed to methods and systems of using artificial intelligence (i.e. machine learning and / or anticipation functionalities, etc.) to learn a user's use of a DBMS, store this “knowledge” in a knowledgebase, and anticipate the user's future operating intentions. The current disclosure may also be generally directed to associative methods and systems of constructing DBMS commands. The current disclosure may also be generally directed to methods and systems of using a simplified DBMS command language (SDCL) for associative DBMS command construction. The current disclosure may also be generally directed to arfificially intelligent methods and systems for associative DBMS command construction. The current disclosure may also be generally directed to methods and systems for associative DBMS command construction through voice input. Other methods, systems, features, elements and / or their embodiments are also disclosed.