Abstract: A method for processing sensor data in a distributed sensor system includes generating aggregated sensor data values associated with a first sensor and belonging to one or more aggregation time intervals, tagging each aggregated sensor data value with an aggregation indicator. The aggregation indicator has a first value indicating partial aggregation and has a second value indicating complete aggregation. In some embodiments, the method combines the partially aggregated sensor data belonging to the same time interval into a complete aggregated sensor data.

Abstract: A method for processing sensor data in a distributed sensor system includes generating aggregated sensor data values associated with a first sensor and belonging to one or more aggregation time intervals, tagging each aggregated sensor data value with an aggregation indicator. The aggregation indicator has a first value indicating partial aggregation and has a second value indicating complete aggregation. In some embodiments, the method combines the partially aggregated sensor data belonging to the same time interval into a complete aggregated sensor data.

Abstract: A method for processing sensor data in a distributed sensor system includes generating aggregated sensor data values associated with a first sensor and belonging to one or more aggregation time intervals, tagging each aggregated sensor data value with an aggregation indicator. The aggregation indicator has a first value indicating partial aggregation and has a second value indicating complete aggregation. In some embodiments, the method combines the partially aggregated sensor data belonging to the same time interval into a complete aggregated sensor data.

Abstract: A sensor data processing system and method is implemented in a distributed sensor system to facilitate the collection of sensor data generated from multiple sensors deployed in the field. The sensor data processing system and method processes the large volume of sensor data to generate sensor data with high data quality. More specifically, the sensor data processing system is implemented as a generically defined, metadata driven system to allow the distributed sensor system to be expanded or modified with ease. Furthermore, the sensor data processing system and method applies backend calibration to the sensor data to enhance the accuracy of the sensor data. Finally, the sensor data processing system and method of the present invention implements parallel sensor data processing using a processing pipeline to process each sensor data message for scalability and increased reliability.

Abstract: A system and method for providing real-time, subject oriented communication between two or More users Specifically, the present invention enables two or more users sharing an interest in the same subject area to become aware of each other, and therefore to communicate with each other in real time as a result. Such communication is initiated when each user interacts with a client to provide a string of characters to a central server, which then compares these strings of characters according to a comparison process. If the strings of characters are comparable according to this process, then the central server notifies each client thereby enabling the two clients to communicate.