TL;DR: In this paper, a system and method for activating inactive software options pre-installed on a device upon initialization of the device and thereby preventing installation during device operation is presented, where a request from a user at a centralized facility for access to an inactive option resident on the device is made.
Abstract: A system and method are provided for activating inactive software options pre-installed on a device upon initialization of the device and thereby preventing installation during device operation. The invention includes receiving a request from a user at a centralized facility for access to an inactive option resident on the device. After validation of the request, an option-specific activation key or code is generated at the centralized facility using data from at least one of a user identifier, a system identifier, a host identifier, a use period identifier, and the selected option. The activation key is then transmitted from the centralized facility to the device whereupon only during initialization or reboot of the device is access to the inactive option automatically granted. The limiting of access to the inactive option until device initialization ensures that option enablement is prevented during device operation.
TL;DR: In this article, an apparatus for identifying the structure and estimating the parameters in the structure of a controlled system is described, which uses a structure identifier, in a preferred embodiment, employing a neural network, to match the relationship of the system inputs and outputs to a mathematical relation.
Abstract: An apparatus for identifying the structure and estimating the parameters in the structure of a controlled system is described. The apparatus uses a structure identifier, in a preferred embodiment, employing a neural network, to match the relationship of the system inputs and outputs to a mathematical relation. This identified structure is communicated to a parameter estimator. The parameter estimator may employ a neural network to give an initial parameter vector which can be used to generate, iteratively, better parameter estimates. This increases the efficacy of the parameter estimator. The apparatus can be inserted into controllers for various systems to improve performance. Using a neural network for parameter estimation as shown can be generalized to any nonlinear optimization problem.
TL;DR: In this paper, the authors present a method and system for configuring a telematics unit in a mobile vehicle, and a determination is made as to whether the assigned system identifier corresponds to a broadcast system identifier.
Abstract: The present invention present invention provides a method and system for configuring a telematics unit in a mobile vehicle. An assigned system identifier is stored in the telematics unit, and a determination is made as to whether the assigned system identifier corresponds to a broadcast system identifier. A wireless carrier is called based on the determination, and a mobile identification number is received from the wireless carrier.
TL;DR: In this paper, an information server according to one embodiment of the invention, includes a communication interface configured to communicate over a communication network and a processing system connected to the communication interface.
Abstract: An information server according to one embodiment of the invention includes a communication interface configured to communicate over a communication network and a processing system connected to the communication interface. The processing system is configured to receive one or more digital content sets, receive a caller system identifier and a called system identifier from the caller system, select a digital content set from among the one or more digital content sets using the caller system identifier and the called system identifier, and provide the selected digital content set to a called system corresponding to the called system identifier prior to the caller system establishing a communication channel to the called system.
TL;DR: In this paper, the authors present a real-time system information monitoring method for data processing flow, which increases the information for expressing the processing flow; and if the interface data has problems, global fault positioning and information tracking and source tracing for multi systems can be realized according to the information of processing flow.
Abstract: The invention relates to the technical field of information, and specifically relates to a method and device for system information monitoring. The method includes the steps: monitoring at least one system in real time; determining the system identifier of a system for executing the preset data processing mode, and the data identifier of the data related with the executed preset data processing mode; recording the processing identifier corresponding to the executed data processing mode, and the determined system identifier and data identifier in a log, and according to the executed data processing mode, placing the determined system identifier and data identifier in the information expressing the data processing flow; and comparing the log with the preset business flow information, and determining the position where a fault occurs according to the information of the data processing flow after determining occurrence of the fault according to the comparative result. The method for system information monitoring increases the information for expressing the data processing flow; and if the interface data has problems, global fault positioning and information tracking and source tracing for multi systems can be realized according to the information of the processing flow.