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Three source monitoring processes can be distinguished: external source monitoring, internal or self-monitoring and reality monitoring (i.e. discrimination between internal and external sources of information).
Lapses in what researchers call "source monitoring" may occur for a number of reasons — because an individual is primed to expect a perception to occur, because the level of background noise makes it difficult to separate what is internal from what is external, because he or she is in a state of emotional arousal.
Nagios [5] is the premier open source monitoring tool.
We designed three tasks, one for each source monitoring category.
The possibilities of having source monitoring errors are discussed while highlighting the protocols of forensic interview and methods to minimize source monitoring errors.
Zenoss [60] is an opens source monitoring system similar in concept and use to Nagios.
Therefore, we evaluate Varanus against Nagios - the world's most popular Open Source monitoring tool.
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A systematic method is presented for evaluating the slope safety utilizing multi-source monitoring information.
After that, multi-source monitoring information is used to update the probability distributions of the soil or rock model parameters and the factor of safety using Markov chain Monte Carlo simulation.
The subcommittee report also found that between $289 million and $1.4 billion of taxpayer money had been spent on the centers, including line items like $75,000 spent on 55 flat-screen TVs for the San Diego Fusion Center to conduct "open-source monitoring".
Weinstock emphasizes that companies can try to avoid point-source monitoring with their own dispersion models.
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