The Total Network Data System (TNDS) is a coordinated family of computer‐based systems that collect and process network measurements to aid the engineers, administrators, and managers of the Bell System network in efficiently meeting service objectives. This paper describes these service objectives, the nature of telephone traffic and traffic measurements, and the theories and engineering assumptions underlying the use of these measurements in the design and administration of the trunk network and switching systems.
Inspired by recent studies of "ensemble" face processing, we asked whether observers could accurately estimate the ethnic composition of an array of faces. We also examined whether such estimates were influenced by the race of the observer. We developed a new task in which a set of 16 faces was continuously shuffled within a moving 4 × 4 grid. This design prevents explicit estimation and blocks spatial sub-sampling. Across trials we systematically varied the proportion of Asian and Caucasian faces. Two groups of observers were assigned different target and distractor races. Their task was to indicate whether there were more targets or distractors present on each trial. Each group consisted of 8 Asian and 8 Caucasian observers. We fitted cumulative normal functions to the response distributions and extracted the PSE and JND as dependent measures. The same 2 (Observer Race) x 2 (Target Race) ANOVA was used for analysis. For PSE, there were main effects of Observer and Target that did not interact. Observers consistently weighted otherrace faces more heavily than own-race faces and PSEs were generally shifted in the direction of the Target. For JND, there was a main effect of Observer and a Observer x Target interaction. While Asian observers were generally more sensitive, both groups had smaller JNDs when the target was the other-race. Overall, our findings indicate that observers can rapidly estimate the racial composition of a group of faces, but these estimates are influenced by their own race.
The switch count method of telephone traffic measurement is subject to sampling errors. The nature of these errors is discussed and formulas are derived which describe the extent of the errors under normally encountered traffic conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.