In this paper, a comprehensive alarm information processing (AIP) technology is introduced, called multi-round alarm management system (MRAMS), including several processing strategies: AIP based on single sensor, AIP based on sensor group, root cause diagnosis based on Bayesian network, sensor fault judgment method and false alarm inhibition method.
Although NGS can provide the most in-depth, unbiased information, and can reveal completely novel pathogens, it is time-consuming when the sample contains hundreds of microbial species that require comprehensive data processing.
The comprehensive methodology covers the major information processing steps leading from raw data to a concise summary of what has happened between two subsequent visits.
Researchers have concluded that rational comprehensive quality data analysis and information processing is of limited use or even counterproductive under conditions in which multiple problem definitions are possible, goals are ambiguous, or uncertainty is great (March and Olsen 1976; Daft and Lengel 1986; Daft et al. 1988; Lord and Maher 1990).
A non-mutually exclusive cognitive hypothesis explaining such olfacto-motor effect could consider the "context closure" model [42], in which the congruency between smell and observed food could represent the comprehensive and congruent closure of information processing occurring when expectations are terminated.
It can provide comprehensive information about changes occurring during processing and storage of BCs and BDs and can be applied to assess or improve them, therefore potentially enabling a global assessment of processing, inactivation and storage methods, as well as of possible contaminants and neoantigens that may influence the immunogenic capacity of blood-derived therapeutics.
The main contribution is in the definition of what is energy balance and how this may be handled within a more comprehensive optimization process that includes higher level information processing (such as demosaicing, spectral signature indicators or spectral reconstruction).
This chapter provides comprehensive information on different deconvolution methods used in the seismic processing industry.
First the characteristics of the system are analyzed, and then the four-layer functional architecture of the system is designed to realize comprehensive condition monitoring, reliable information transmission and computer intelligent information processing for fault prediction.
Given that different gene expression studies used different candidate genes in EAT and different processing methods (statistical procedures), there is a lack of comprehensive information on the biological role of EAT in cardiovascular disease risk.
