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Multimedia sensor nodes complete monitoring task and send their data to gateway nodes.
I explore progress towards this vision, outlining the general nature of the anesthetist's monitoring task and the dangers of attentional capture.
Patients (n = 9) and controls (n = 11) completed a finger tapping task, a simple auditory monitoring task and a challenging working memory task, designed to induce mental fatigue, while undergoing fMRI.
By using the eye-head integrated tracking system, we collected both pupil responses and head positions while participants conducted both process monitoring task and Multi-Attribute Task Battery (MATB-II) tasks.
In this paper we present a surveillance architecture that reflects the distributed nature of the monitoring task and allows for distributed detection processes, not only dealing with visual processing but also with devices such as acoustic signature detection and mobile smart cards, actuators and a range of other possible sensors.
Therefore, we renamed the task a "social scenario viewing task" instead of "social context monitoring task", and the cognitive behavior underlying the identified brain networks as "social monitoring" instead of "social context monitoring" (see responses above).
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The MMV design process identified a set of appropriate monitoring tasks and candidate monitoring technologies needed to perform them based on comprehensive site-specific feasibility studies.
Since most CPS applications involve monitoring tasks and reporting towards a central sink, here we focus on a one-hop star network.
The pace of the simulation was defined by the rate of the streaming data, the number and length of pauses from monitoring tasks, and the number of and spacing of events (e.g., volcanic eruptive events).
The environment was designed to address oft-encountered problems associated with collaboration, including regulating and monitoring tasks, and practical considerations such as access to collaborative artifacts from multiple locations and simultaneous editing of collaborative work.
The experimental results and analysis show that the proposed approach is capable of acquiring stable video in real-time marine monitoring tasks and that the target detection is sufficiently effective, efficient, and accurate for a real-time ship target detection application.
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