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PubMed · 10151186

Infectious substances--DOT. Final rule.

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Abstract

RSPA published a notice of proposed rulemaking (NPRM) in December 1994 that proposed to revise the regulations pertaining to infectious substances, including regulated medical waste (RMW). In this final rule, RSPA is revising requirements for Division 6.2 materials (infectious substances). This rule clarifies the scope of regulation for infectious substances, provides relief for certain shipments of RMW that conform to other Federal agency regulations, allows certain quantities of RMW to be transported by aircraft, and makes other changes to clarify regulatory provisions applicable to infectious substances. This rulemaking action is necessary to ensure that the regulations for infectious substances and regulated medical waste are cost effective and provide an adequate level of safety in transportation.

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AircraftGovernment AgenciesHumansInfection ControlMedical Waste DisposalSafety ManagementTransportationUnited StatesJournal Article

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1995-09-20. Infectious substances--DOT. Final rule.. https://pubmed.ncbi.nlm.nih.gov/10151186/

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Fuzzy signal detection theory: analysis of human and machine performance in air traffic control, and analytic considerations.

This paper applies fuzzy SDT (signal detection theory) techniques, which combine fuzzy logic and conventional SDT, to empirical data. Two studies involving detection of aircraft conflicts in air traffic control (ATC) were analysed using both conventional and fuzzy SDT. Study 1 used data from a preliminary field evaluation of an automated conflict probe system, the User Request Evaluation Tool (URET). The second study used data from a laboratory controller-in-the-loop simulation of Free Flight conditions. Instead of assigning each potential conflict event as a signal (conflict) or non-signal, each event was defined as a signal (conflict) to some fuzzy degree between 0 and 1 by mapping distance into the range [0, 1]. Each event was also given a fuzzy membership, [0, 1], in the set 'response', based on the perceived probability of a conflict or on the colour-coded alert severity. Fuzzy SDT generally reduced the computed false alarm rate for both the human and machine conflict systems, partly because conflicts just outside the conflict criterion used in conventional SDT, were defined by fuzzy SDT as a signal worthy of some attention. The results illustrate the potential of fuzzy SDT to provide, especially in exploratory data analysis, a more complete picture of performance in aircraft conflict detection and many other applications. Alternative analytic methods also using fuzzy SDT concepts are discussed.

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