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The effect of redundancy on measurement
Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252), 2001Summary: This correspondence demonstrates that increasing the number of measurements made on a system beyond the minimum (i.e., the number of degrees of freedom in the system) can reduce the effect of measurement errors. The correspondence shows that for three broad classes of measurement problems, as the measurement redundancy increases, the residual ...
Collins, Oliver M., Vasudev, N.
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Measuring internal forces of redundant structures
Experimental Mechanics, 1985Certain guidelines were formulated for conducting mechanical and electronic design, calibration and installation of steel or aluminum transducers, which may be utilized to monitor internal forces in selected elements of a redundant structure, directly and independently, without a need for analysis.
A. E. Aktan, V. V. Bertero
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Measuring redundancy level on the web
Proceedings of the 7th Asian Internet Engineering Conference, 2011This paper tries to estimate redundancy level on the Web by employing information collected from existent search engines. To make measurements feasible, a representative set of Internet sites was collected using a random sampling of the Internet catalogs DMOZ and Delicious.
Alexander Afanasyev +3 more
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Synergy, redundancy, and multivariate information measures: an experimentalist’s perspective
Journal of Computational Neuroscience, 2013Information theory has long been used to quantify interactions between two variables. With the rise of complex systems research, multivariate information measures have been increasingly used to investigate interactions between groups of three or more variables, often with an emphasis on so called synergistic and redundant interactions.
Timme, Nicholas +3 more
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An attribute redundancy measure for clustering
1998Several information theory based measures have been used in machine learning. Using the definition of the Kullback-Leibler entropy, this paper presents a new measure for clustering objects — the attribute redundancy measure. First, an introduction to clustering is made, with its interpretation from the machine learning point of view and a ...
Teresa Gonçalves, Fernando Moura-Pires
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Measurement of redundancy in species collections
Vegetatio, 1975The present paper describea a method, based on the covariance, which can partition the total variation in a species collection into two independent components. One of the components is specific to individual species, while the other is common between species.
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Structural Sensitivity as a Measure of Redundancy
Journal of Structural Engineering, 1997The conventional definition of redundancy is applicable to skeletal structural systems only, whereas the concept of redundancy has never been discussed in the context of a continuum. Generally, structures in civil engineering constitute a combination of both skeletal and continuum segments.
Pandey, PC, Barai, SV
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Improved antenna range characterisation using redundant measurements
2015 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2015The indoor antenna range at Stellenbosch University was substantially modernised during a recent upgrade. Now, this antenna range contains five automated motion stages, plus one manual stage, that facilitate redundant planar and spherical near-field measurements using an integrated system.
D. M. P. Smith, D. B. Davidson, A Bester
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Radio interferometric tracking using redundant phase measurements
2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015A new sensor fusion is proposed for radio-interferometric tracking applications. The proposed solution utilizes fixed infrastructure nodes equipped with simple radio transceivers, generating interferometric signals, which allows the tracking of moving objects equipped with similar radios.
Gergely Zachar, Gyula Simon
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Data redundancy in information and measurement systems
Energy Safety and Energy Economy, 2022Data redundancy is a common approach to improve reliability of information and measurement systems. Design of information and measurement systems is an important step when the proper effect of data redundancy on accuracy of measurements needs to be established.
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