Abstract: A method for monitoring performance of at least one component on a moving platform, the method including receiving sensor data for the at least one component, along with supplemental data, at a processing node; and processing the sensor data, the processing using the supplemental data to filter the sensor data.

Abstract: A method at a computing device for the computing device to act as an intelligent transportation system (ITS) station for a vehicle, the method including detecting that the computing device is proximate to the vehicle; determining whether ITS messages are being sent on behalf of the vehicle; and if the determining finds ITS messages are not being sent on behalf of the vehicle, the computing device acting as the ITS station for the vehicle.

Abstract: A method for monitoring performance of at least one component on a moving platform, the method including receiving sensor data for the at least one component, along with supplemental data, at a processing node; and processing the sensor data, the processing using the supplemental data to filter the sensor data.

Abstract: A method for monitoring performance of at least one component on a moving platform, the method including receiving sensor data for the at least one component, along with supplemental data, at a processing node; and processing the sensor data, the processing using the supplemental data to filter the sensor data.

Abstract: A method at a computing device for the computing device to act as an intelligent transportation system (ITS) station for a vehicle, the method including detecting that the computing device is proximate to the vehicle; determining whether ITS messages are being sent on behalf of the vehicle; and if the determining finds ITS messages are not being sent on behalf of the vehicle, the computing device acting as the ITS station for the vehicle.

Abstract: A method for monitoring performance of at least one component on a moving platform, the method including receiving sensor data for the at least one component, along with supplemental data, at a processing node; and processing the sensor data, the processing using the supplemental data to filter the sensor data.

Abstract: A system and method for automated dictionary population is provided to facilitate the entry of textual material in dictionaries for enhancing word prediction. The automated dictionary population system is useful in association with a mobile device including at least one dictionary which includes entries. The device receives a communication which is parsed and textual data extracted. The text is compared to the entries of the dictionaries to identify new words. Statistical information for the parsed words, including word usage frequency, recency, or likelihood of use, is generated. Profanities may be processed by identifying profanities, modifying the profanities, and asking the user to provide feedback. Phrases are identified by phrase markers. Lastly, the new words are stored in a supplementary word list as single words or by linking the words of the identified phrases to preserve any phrase relationships. Likewise, the statistical information may be stored.

Abstract: The present invention relates to a system and method for harvesting wind energy from air exhausted by other systems. Ventilation and heat exchange systems force air movement using fans. Exhaust airflow may also be the result of a combustion system. The exhaust air is generally wasted as it is diffused back to the atmosphere. Significant energy may be recovered from this exhaust air using relatively small turbines inserted into the airflow. Careful positioning of the turbine maximizes the recovery efficiency.

Abstract: A system and method for automated dictionary population is provided to facilitate the entry of textual material in dictionaries for enhancing word prediction. The automated dictionary population system is useful in association with a mobile device including at least one dictionary which includes entries. The device receives a communication which is parsed and textual data extracted. The text is compared to the entries of the dictionaries to identify new words. Statistical information for the parsed words, including word usage frequency, recency, or likelihood of use, is generated. Profanities may be processed by identifying profanities, modifying the profanities, and asking the user to provide feedback. Phrases are identified by phrase markers. Lastly, the new words are stored in a supplementary word list as single words or by linking the words of the identified phrases to preserve any phrase relationships. Likewise, the statistical information may be stored.

Abstract: A system and method for automated dictionary population is provided to facilitate the entry of textual material in dictionaries for enhancing word prediction. The automated dictionary population system is useful in association with a mobile device including at least one dictionary which includes entries. The device receives a communication which is parsed and textual data extracted. The text is compared to the entries of the dictionaries to identify new words. Statistical information for the parsed words, including word usage frequency, recency, or likelihood of use, is generated. Profanities may be processed by identifying profanities, modifying the profanities, and asking the user to provide feedback. Phrases are identified by phrase markers. Lastly, the new words are stored in a supplementary word list as single words or by linking the words of the identified phrases to preserve any phrase relationships. Likewise, the statistical information may be stored.

Abstract: A system and method for automated dictionary population is provided to facilitate the entry of textual material in dictionaries for enhancing word prediction. The automated dictionary population system is useful in association with a mobile device including at least one dictionary which includes entries. The device receives a communication which is parsed and textual data extracted. The text is compared to the entries of the dictionaries to identify new words. Statistical information for the parsed words, including word usage frequency, recency, or likelihood of use, is generated. Profanities may be processed by identifying profanities, modifying the profanities, and asking the user to provide feedback. Phrases are identified by phrase markers. Lastly, the new words are stored in a supplementary word list as single words or by linking the words of the identified phrases to preserve any phrase relationships. Likewise, the statistical information may be stored.

Abstract: A system and method for automated dictionary population is provided to facilitate the entry of textual material in dictionaries for enhancing word prediction. The automated dictionary population system is useful in association with a mobile device including at least one dictionary which includes entries. The device receives a communication which is parsed and textual data extracted. The text is compared to the entries of the dictionaries to identify new words. Statistical information for the parsed words, including word usage frequency, recency, or likelihood of use, is generated. Profanities may be processed by identifying profanities, modifying the profanities, and asking the user to provide feedback. Phrases are identified by phrase markers. Lastly, the new words are stored in a supplementary word list as single words or by linking the words of the identified phrases to preserve any phrase relationships. Likewise, the statistical information may be stored.

Abstract: A system and method for automated dictionary population is provided to facilitate the entry of textual material in dictionaries for enhancing word prediction. The automated dictionary population system is useful in association with a mobile device including at least one dictionary which includes entries. The device receives a communication which is parsed and textual data extracted. The text is compared to the entries of the dictionaries to identify new words. Statistical information for the parsed words, including word usage frequency, recency, or likelihood of use, is generated. Profanities may be processed by identifying profanities, modifying the profanities, and asking the user to provide feedback. Phrases are identified by phrase markers. Lastly, the new words are stored in a supplementary word list as single words or by linking the words of the identified phrases to preserve any phrase relationships. Likewise, the statistical information may be stored.

Abstract: The present invention relates to a system and method for harvesting wind energy from air exhausted by other systems. Ventilation and heat exchange systems force air movement using fans. Exhaust airflow may also be the result of a combustion system. The exhaust air is generally wasted as it is diffused back to the atmosphere. Significant energy may be recovered from this exhaust air using relatively small turbines inserted into the airflow. Careful positioning of the turbine maximizes the recovery efficiency.

Abstract: A system and method for automated dictionary population is provided to facilitate the entry of textual material in dictionaries for enhancing word prediction. The automated dictionary population system is useful in association with a mobile device including at least one dictionary which includes entries. The device receives a communication which is parsed and textual data extracted. The text is compared to the entries of the dictionaries to identify new words. Statistical information for the parsed words, including word usage frequency, recency, or likelihood of use, is generated. Profanities may be processed by identifying profanities, modifying the profanities, and asking the user to provide feedback. Phrases are identified by phrase markers. Lastly, the new words are stored in a supplementary word list as single words or by linking the words of the identified phrases to preserve any phrase relationships. Likewise, the statistical information may be stored.