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43 results for “Residual Analysis”
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Research ArticleOpen accessIn the abstractOptimal Subsurface Appraisal: A Key Link to the Success of Development Projects-Few ExamplesVirendra Singh, Ivan Yemez, Elena Izaguirre, Alvaro RaceroDuring exploration and production phases, the life of a hydrocarbon field can be distinguished by five main stages: Exploration, appraisal, development, production and abandonment. Of particular interest is the appraisal stage, where billions of dollars are spent across the oil and gas industry on data gathering activities with a view to reducing subsurface uncertainties towards optimizing reservoir development and management. … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 13 Jan 2017 · 8,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractPresent a Mechatronic System Having Able to Determine the Concentration of CarotenoidsRaffaella Aversa, Eleni Buzea, Relly Victoria V. Petrescu et al.Civilization besides its major advantages (undisputed) brought us some unhealthy habits which unfortunately have managed to penetrate deeply within several generations on the current planetary populations producing great damages to its health. Perhaps it would be the right time to and more people learning to live healthy, to feed ourselves healthy, let's try to break the chain of evil which … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 7 Dec 2016 · 8,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Diagnosis of a DC Motor by Bond Graph ApproachAbderrahmène Sallami, Nadia Zanzouri, Mekki KsouriIn this article, a Bond Graph (BG) approach is used for modeling, simulation and robust diagnosis of a DC Motor. The design and calculation of an observer is achieved by using graphical methods taking advantage of the structural properties of bond graph model. Simulation results are used to show the dynamic behavior of the system variables and assessing the performance … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 17 Jun 2016 · 8,001 accessesView PDFCite
Research ArticleOpen accessIn the abstractOccupational Safety and Health in Tunnelling in Rocks Formations Potentially Containing Asbestos: Good Practices for Risk Assessment and ManagementDavide Labagnara, Mario Patrucco, Achille SorliniIn tunnelling operations, Occupational Safety and Health (OS&H) and Environmental Protection of the areas close to the tunnel portal become even more critical in case of rock formations potentially containing asbestos, quartz, radioactive elements, etc. In order to limit the workers’ exposure and the environmental impact becomes in these cases of paramount importance to preliminarily analyze and quantify the possible … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 26 May 2016 · 7,646 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpecification of Dynamic Time Series Model with Volatile-Outlier Input SeriesT. A. Lasisi, D.K. Shangodoyin, O. O. Sangodoyin et al.Problem statement: This study considers the precision of the output series generated from aberrant input series in the context of the distribution of the dynamic estimate and also investigate relative merit of analyzing residuals with outliers for a volatility input dynamic model. Approach: The study developed a methodology for checking volatility at every time point and evaluates the influence of … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 1 Oct 2011 · 7,102 accessesView PDFCite
Research ArticleOpen accessIn the abstractMessage Based Random Variable Length Key Encryption AlgorithmHamid Mirvaziri, Kasmiran Jumari Mahamod Ismail, Zurina Mohd HanapiProblem statement: A block ciphers provides confidentiality in cryptography but cryptanalysis of the classical block ciphers demonstrated some old weaknesses grabbing a partial key in any stage of encryption procedure leads to reconstructing the whole key. Exhaustive key search shows that key generation should be indeterminist and random for each round. Matching cipher-text attack shows that larger size of block … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 6,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing P300 Component by Spectral Power Ratio Principal Components for a Single Trial Brain-Computer InterfaceS. Andrews, Ramaswamy Palaniappan, Andrew Teoh, Loo chu KiongHere we present a novel approach to detect P300 wave in single trial Visual Event Related Potential (VERP) signals using improved principal component analysis to enable a faster brain-computer interface (BCI) design. In the process, the principal components (PCs) are selected using novel methods, namely spectral power ratio (SPR) and sandwich spectral power ratio (SSPR). We set out to assess … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractPlasmid-mediated Detoxification of Mycotoxin Zearalenone in Pseudomonas Sp. ZEA-1Abdullah D. AltalhiThe Pseudomonas sp. Strain ZEA-1 was isolated from rhizosphere of corn plant by an enrichment technique showed capability of utilizing zearalenone as the sole source of carbon. The bacterium rapidly utilized zearalenone beyond 200 µg/ml and showed prolific growth in a minimal medium containing 100 µg/ml zearalenone source. The course of ZEA degradation as well as the formation of its … …American Journal of Biochemistry and Biotechnology, Vol. 3, Issue 3 · 30 Sep 2007 · 7,854 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordComparison of Probit and Logistic Regression Models in the Analysis of Dichotomous OutcomesAmrutha Jose, Mariyamma Philip, Lavanya Tumkur Prasanna, M. ManjulaProbit and logistic regression models are members of the family of generalized linear models, used for estimating the functional relationship between the dichotomous dependent and independent variables. The current study is designed to find the performance of logistic and probit regression models in different conditions under multivariate normality. The objective of the study is to compare the performance of probit … …Current Research in Biostatistics, Vol. 10, Issue 1 · 26 Mar 2020 · 17,036 accessesView PDFCite