Abstract: A maintenance device for coupling to electrical circuitry of an electric vehicle for testing the low voltage battery system of the electric vehicle includes electrical connectors to configured to couple to terminals of a low voltage battery of the low voltage battery system of the vehicle and electrically couple to a DC-to-DC convertor of the vehicle which is used to charge the low voltage battery. Measurement circuitry couples to the electrical connectors. A controller coupled to the measurement circuitry is configured to measure a parameter of the low voltage battery and a parameter of the DC-to-DC convertor and responsively determine a condition of the low voltage battery and the DC-to-DC convertor.

Abstract: A electronic rotary switch is disclosed that comprises domes molded into an elastomeric switch mat mounted to a printed circuit board. A knob rotatably attached to the circuit board includes a cam that depresses individual domes to actuate a contact switch pad on the printed circuit board. A microprocessor may be utilized with the switch to replicate an encoder or potentiometer.

Abstract: A method and apparatus are described for specifying arbitrary words in a rule-based grammar, such as a context-free grammar. A wildcard identifier is used in a context-free grammar file in place of a predefined category of words. Artificial phoneme combinations that represent generic words in a speech engine's vocabulary database, and that represent pronunciations of the predefined category of words are defined by rules. A speech engine uses the artificial phoneme combinations to determine acceptable words to listen to, and generates a results object comprising generic words corresponding to the artificial phoneme combinations, as well as non-generic words that do not exist in a given CFG, where the generic and non-generic words exist in the speech engine's vocabulary database. The word having the highest confidence level that is not a generic word is selected as the word most likely to have been spoken by the user.

Abstract: Embodiments of a method and system for managing a system are disclosed herein. The method and system provides a means to permanently and/or securely store core system configuration information so that the core system configuration information stays with a particular system, such as a computing device or motherboard for example. The method and system provide a means for channel integrators, manufacturers, and technicians to quickly troubleshoot and return a system to full service after receiving the system from a customer as part of an unstable, non-functioning, or other system service event. Other embodiments are described and claimed.

Abstract: A speech recognition framework receives information about a recognized phrase from a speech engine. The framework identifies the application that is a focus of the recognized phrase. The framework then selects a handler function based on the recognized phrase and the application. The framework calls the handler function, which responds to the phrase.

Abstract: A speech recognition framework receives information about a recognized phrase from a speech engine. The framework identifies the application that is a focus of the recognized phrase. The framework then selects a handler function based on the recognized phrase and the application. The framework calls the handler function, which responds to the phrase.

Abstract: A method and apparatus are described for specifying arbitrary words in a rule-based grammar, such as a context-free grammar. A wildcard identifier is used in a context-free grammar file in place of a predefined category of words. Artificial phoneme combinations that represent generic words in a speech engine's vocabulary database, and that represent pronunciations of the predefined category of words are defined by rules. A speech engine uses the artificial phoneme combinations to determine acceptable words to listen to, and generates a results object comprising generic words corresponding to the artificial phoneme combinations, as well as non-generic words that do not exist in a given CFG, where the generic and non-generic words exist in the speech engine's vocabulary database. The word having the highest confidence level that is not a generic word is selected as the word most likely to have been spoken by the user.