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Reliability Evaluation by Network Decomposition

IEEE Transactions on Reliability, 1982
The method evaluates the reliability of large computer communication systems by systematic decomposition of the probabilistic graph of the system into two parts using an appropriate cutset. A technique is evolved for determining the conditional success events using both the node removal and connection multiplication methods for path enumeration.
Aggarwal, K. K.   +2 more
openaire   +1 more source

Reliability Evaluation of BC Networks

IEEE Transactions on Computers, 2013
Reliability evaluation of interconnection network is important to the design and maintenance of multiprocessor systems. Extra connectivity determination and faulty networks' structure analysis are two important aspects for the reliability evaluation of interconnection networks.
Qiang Zhu 0003   +2 more
openaire   +2 more sources

Reliability of a Diabetic Foot Evaluation

Physical Therapy, 1989
The purpose of this study was to establish the interrater and intrarater reliability of various ankle and foot measures common to a diabetic evaluation. Bilateral biomechanical, sensory, and wound-size measurements were obtained in 31 subjects with diabetes mellitus.
J E, Diamond   +3 more
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An Algebraic Technique for Reliability Evaluation

IEEE Transactions on Reliability, 1980
An algebraic technique is proposed to obtain a simplified reliability expression of a general system. A success expression which directly gives the reliability expression, is formed and simplified by the procedure. The technique is equally efficient for simple and complex systems; yields computationally efficient reliability expressions; is routine (no
Tiwari, R. K., Verma, Mikki
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Evaluation and reliability

Electrical Engineering, 1962
Evaluation must be considered a continuing necessity during every phase of the large system's life, starting with the conceptual stage and continuing through design, fabrication, test, installation, and finally maintenance and operation.
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Reliable evaluation of neural networks

Neural Networks, 1991
Abstract The setting is a neural network receiving random inputs. These may be thought of as providing data for evaluation trials. The inputs may be the same as the inputs used on the training trials that produced the network. The main result is an explicit bound on the probability that the average output in the evaluation trials differs from the ...
Robert M. Burton, William G. Faris
openaire   +1 more source

AN EMPIRICAL EVALUATION OF FACTOR RELIABILITY

Multivariate Behavioral Research, 1973
The psychometric reliability of a factor, defined as its generalizability across samples drawn from the same population of tests, is considered as a necessary precondition for the scientific meaningfulness of factor analytic results. A solution to the problem of generalizability is illustrated empirically on data from a set of tests designed to measure
D N, Jackson, M E, Morf
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Reliability of Image Evaluation Techniques

Applied Optics, 1969
A carefully controlled experiment was conducted to compare the modulation transfer function measurements, for a high performance photographic system, obtained with an automated edge gradient analysis technique and with a semimanual sine wave analysis procedure. These results and other experimentation have determined that image evaluation techniques can
R A, Jones, J T, Kelly
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RELIABILITY EVALUATION OF COMMUNICATION NETWORKS

IFAC Proceedings Volumes, 1992
Abstract In the evaluation of the capacity of a communication network architecture to resist to the possible faults of some of its components, several reliability metrics are currently used. The evaluation of these metrics is in general a very costly task since most of them are, as algorithmic problems, classed in the NP-hard family. As a consequence,
Mohamed El Khadiri, Gerardo Rubino
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Algorithms to evaluate the reliability of a network

DRCN 2005). Proceedings.5th International Workshop on Design of Reliable Communication Networks, 2005., 2006
We consider problems of network reliability: the two-terminal network reliability consists, given an undirected graph G/spl equiv/(V, E), and a series of independent edge failure events, in computing the probability that two nodes remain connected. The all-terminal network reliability is the probability that the whole network remains connected.
Jérôme Galtier   +2 more
openaire   +1 more source

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