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When the window slides, the time-based sliding window model continues to provide the latest data streams for monitoring nodes.
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Higher-order somatosensory areas of the cerebral cortex have been divided anatomically and functionally into two distinct pathways: a ventral stream for object recognition by touch and a dorsal stream for monitoring actions of the hand and arm.
The main objective of this review was to compare the various techniques of streamflow monitoring and identify the most suitable methods for monitoring streams of varied sizes across different terrains in developing countries.
In this chapter, we provide an overview of methods for monitoring stream temperature, characterization of thermal profiles, and modeling approaches to stream temperature prediction.
Standard methods for monitoring stream and groundwater conditions typically measure at a small set of geographic points (e.g., stream flow at gages, groundwater elevation at wells) at frequent time intervals.
The first thread is for receiving the data stream, and the second is for monitoring the incoming data and constructing the buckets.
On the basis of review of literature and qualitative index developed (Table 3), we concluded that, for monitoring small mountain streams, timed volume method is apt and provides a high degree of accuracy.
Aurora, by MIT, however is claimed to be a new system for managing data streams and for monitoring applications.
We propose a novel packet scheduling algorithm with history support, LLEPS, to ensure low latency and efficient packet scheduling for streaming applications via monitoring the behavior of queues and traffics.
Open image in new window Fig. 1 Implication of stream flow monitoring for policy and financial management.
In southern and eastern Wisconsin (regional scale), streams were monitored continuously for specific conductance, a surrogate for chloride, to assess potential impact on aquatic organisms.
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