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Generator System Reliability Analysis Including Wind Generators Using Hourly Mean Wind Speed

Electric Power Components and Systems, 2007
Abstract The aim of the article is to study the generator system reliability analysis with wind energy penetration in the conventional grid. It presents the reliability evaluation process, which has accurately modeled the intermittent nature of wind resource. A stochastic model with hourly mean wind speed (HMWS), standard deviation and sequential Monte
Ravindra M. Moharil, Prakash S. Kulkarni
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Generation means analysis for productivity in two diverse peanut crosses

Theoretical and Applied Genetics, 1991
Utilization of exotic germplasm resources for population improvement in peanut (Arachis hypogaea L.) has increased as the need to increase genetic diversity among peanut cultivars was recognized. Progeny of crosses of two unadapted germplasm lines (GP-NC 343 and FESR-11-P11-32) with an adapted cultivar ('NCV11') of peanut were evaluated for the genetic
T M, Halward, J C, Wynne
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Generalized Spectrum Analysis by Means of Neural Networks

2003
The problem of determination of generalized signal spectrum using neural networks has been investigated. The paper contains the formalization of the problem and is focused on building of a neural network that may be used to calculate coefficients of the generalized Fourier series for various base functions.
Dariusz Grabowski, Janusz Walczak
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Generation Means Analysis of Fatty Acid Composition in Peanut

Journal of Crop Improvement, 2013
Optimizing the chemical composition of peanut (Arachis hypogaea L.) oil is essential for the production of biodiesel. Specifically, increasing the ratio of oleic to linoleic acid (O/L) in peanut oil and reducing the long chain saturated fatty acid concentration (which includes arachidic, behenic, and lignoceric acids) produces high-quality, stable ...
Jeffrey N. Wilson   +5 more
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Generation Means Analysis for Fiber Elongation in Upland Cotton

Crop Science, 2014
ABSTRACTEach bale (218 kg) of upland cotton (Gossypium hirsutum L.) produced in the United States is graded on the basis of several fiber quality traits, namely, strength, upper‐half mean length, micronaire, uniformity index, color, and trash content.
E.‐H. Ng   +4 more
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Generalized C-Means Algorithms for Medical Image Analysis

Proceedings, annual meeting, Electron Microscopy Society of America, 1990
Diagnostic machine vision systems that attempt to interpret medical imagery almost always include (and depend upon) one or more pattern recognition algorithms (cluster analysis and classifier design) for low and intermediate level image data processing. This includes, of course, image data collected by electron microscopes.
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Analysis of mean and mean square response of general linear stochastic finite element systems

Computer Methods in Applied Mechanics and Engineering, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Papadopoulos, Vissarion   +2 more
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A generalization of mean value analysis to higher moments

ACM SIGMETRICS Performance Evaluation Review, 1986
Closed product-form queueing networks are considered. Recursive schemata are proposed for the higher moments of the number of customers in the queues, called “moment analysis”. As with mean value analysis (MVA), in general no state probabilities are needed. Approximation techniques for these schemata similar to those existing for MVA are introduced.
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General Equilibrium Analysis: Its Meaning, Purposes and Limitations

1992
The need for scientific analysis springs from a fundamental bias of our natural and social environment against sameness and constancy. Physical objects that are similar in specified attributes will vary among themselves in the exact degree to which they possess such attributes.
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