Sentence examples for time data processing from inspiring English sources

Event stream processing has recently emerged as a popular paradigm for implementing high-volume distributed (near- real time data processinear- realtimes.

For processing of spatial data, the corresponding decimation in the space domain should be performed similarly to the DIT operation for time data processing.

However, the challenges in WSN are how to acquire and process the sensor data efficiently [3], which desiderates low-power and inexpensive sensor nodes, low communication cost and real time data processing.

To avoid misunderstandings, in the rest of the paper, we will use the same abbreviation (DIT) for both processing models and consider the time data processing as a principal model.

Nonetheless, studies of HIV transmission that include diverse risk groups and follow the transmission risk to multiple sex partners may benefit from rapid tests and real time data processing to provide appropriate information about disease risk to recruited individuals.

By using real-time data processing to create a friction-free process and maintain a continuous dialog with customers, businesses can engage in meaningful interactions that create loyal, happy customers.

The progress performed during the last years in El Salvador on the management of big data set for issues related to monitoring natural threats, receiving real-time data, processing these data to generate information in a timely manner to alerts the populations exposed to a high risk for a threat is remarkable.

An improvement on normal monitoring technologies, the system has also incorporated emergency response technology, enabling quick information collection, real-time data processing and transmission for emergency responses.

The paper also deals with real-time data processing, which is achieved with a multi-core personal computer (PC).

In this article we discuss our implementation of a polyphase filter for real-time data processing in radio astronomy.

Real-time data processing is essential in many stream-based applications including disaster area monitoring, health monitoring, and intrusion detection.