Relevant bibliographies by topics / R-parameter

Academic literature on the topic 'R-parameter'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "R-parameter"

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Zhdanov, V., and O. Stashko. "Hubble parameter in f(R)-gravity." Bulletin of Taras Shevchenko National University of Kyiv. Astronomy, no. 61 (2020): 22–25. http://dx.doi.org/10.17721/btsnua.2020.61.22-25.

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In view of the famous problem with the “Hubble constant tension” there is a number of approaches to modify the cosmological equations and correspondingly modify Hubble parameter H(z) in order to to relieve the tension between the “early” and “late” Hubble constants. f(R)– gravity is one of such possible modifications. We discuss how to choose the Lagrangian in the f(R)– gravity on account of observational data within the homogeneous isotropic cosmology. The equation is obtained that enable us to derive f(R) for given Hubble parameter H(z). This yields a second order differential equation with corresponding degrees of freedom. If H(z) corresponds to that obtained from usual Friedmann equations, this equation yields a condition for f(R) to mimic the observable quantities of the standard ΛCDM with the above-mentioned freedom. To reduce this freedom on needs additional considerations, which involve the other observable quantities, such as those which appear in considerations of cosmological perturbations on the isotropic and homogeneous background. Also, we consider the reverse problem to find for given f(R). This is fulfilled within an approximation in case of small deviation of f(R) from the General Relativity value.
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Csuka, Barna, and Zsolt Kollár. "R–DFT-based Parameter Estimation for WiGig." Periodica Polytechnica Electrical Engineering and Computer Science 61, no. 2 (May 23, 2017): 224. http://dx.doi.org/10.3311/ppee.9737.

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In this paper we present parameter estimation methods for IEEE 802.11ad transmission to estimate the frequency offset value and channel impulse response. Furthermore a less known low complexity signal processing architecture – the Recursive Discrete Fourier Transform (R-DFT) – is applied which may improve the estimation results. The paper also discusses the R-DFT and its advantages compared to the conventional Fast Fourier Transform.
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Sabol, George V. "Clark Unit Hydrograph and R‐Parameter Estimation." Journal of Hydraulic Engineering 114, no. 1 (January 1988): 103–11. http://dx.doi.org/10.1061/(asce)0733-9429(1988)114:1(103).

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Hoppe, Jens. "r-Functions with quasi-dynamical spectral parameter." Letters in Mathematical Physics 31, no. 4 (August 1994): 255–59. http://dx.doi.org/10.1007/bf00762787.

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Wang, Zikun. "Multi-parameter infinitedimensional (r, δ)-OU process." Chinese Science Bulletin 44, no. 5 (March 1999): 418–23. http://dx.doi.org/10.1007/bf02977878.

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Chen, Jiao, Liang Huang, and Guozhen Lu. "Hörmander Fourier multiplier theorems with optimal Besov regularity on multi-parameter Hardy spaces." Forum Mathematicum 33, no. 6 (October 21, 2021): 1605–27. http://dx.doi.org/10.1515/forum-2021-0201.

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Abstract We will establish the boundedness of the Fourier multiplier operator T m ⁢ f T_{m}f on multi-parameter Hardy spaces H p ⁢ ( R n 1 × ⋯ × R n r ) H^{p}(\mathbb{R}^{n_{1}}\times\cdots\times\mathbb{R}^{n_{r}}) ( 0 < p ≤ 1 0<p\leq 1 ) when the multiplier 𝑚 is of optimal smoothness in multi-parameter Besov spaces B 2 , q ( s 1 , … , s r ) ⁢ ( R n 1 × ⋯ × R n r ) B^{{(s_{1},\ldots,s_{r})}}_{2,q}(\mathbb{R}^{n_{1}}\times\cdots\times\mathbb{R}^{n_{r}}) , where T m ⁢ f ⁢ ( x ) = ∫ R n 1 × ⋯ × R n r m ⁢ ( ξ ) ⁢ f ^ ⁢ ( ξ ) ⁢ e 2 ⁢ π ⁢ i ⁢ x ⋅ ξ ⁢ d ξ T_{m}f(x)=\int_{\mathbb{R}^{n_{1}}\times\cdots\times\mathbb{R}^{n_{r}}}m(\xi)\hat{f}(\xi)e^{2\pi ix\cdot\xi}\,d\xi for x ∈ R n 1 × ⋯ × R n r x\in{\mathbb{R}^{n_{1}}\times\cdots\times\mathbb{R}^{n_{r}}} . We will show ∥ T m ∥ H p → H p ≲ sup j 1 , … , j r ∈ Z ⁡ ∥ m j 1 , … , j r ∥ B 2 , q ( s 1 , … , s r ) , \lVert T_{m}\rVert_{H^{p}\to H^{p}}\lesssim\sup_{j_{1},\ldots,j_{r}\in\mathbb{Z}}\lVert m_{j_{1},\ldots,j_{r}}\rVert_{B^{{(s_{1},\ldots,s_{r})}}_{2,q}}, where 0 < q < ∞ 0<q<\infty and s i > n i ⁢ ( 1 p - 1 2 ) s_{i}>n_{i}\bigl{(}\frac{1}{p}-\frac{1}{2}\bigr{)} . Here we have used the notation m j 1 , … , j r ⁢ ( ξ ) = m ⁢ ( 2 j 1 ⁢ ξ 1 , … , 2 j r ⁢ ξ r ) ⁢ ψ ( 1 ) ⁢ ( ξ 1 ) ⁢ ⋯ ⁢ ψ ( r ) ⁢ ( ξ r ) , m_{j_{1},\ldots,j_{r}}(\xi)=m(2^{j_{1}}\xi_{1},\ldots,2^{j_{r}}\xi_{r})\psi^{(1)}(\xi_{1})\cdots\psi^{(r)}(\xi_{r}), and ψ ( i ) ⁢ ( ξ i ) \psi^{(i)}(\xi_{i}) is a suitable cut-off function on R n i \mathbb{R}^{n_{i}} for 1 ≤ i ≤ r 1\leq i\leq r . This multi-parameter Hörmander multiplier theorem is in the spirit of the earlier work of Baernstein and Sawyer in the one-parameter setting and sharpens our recent result of Hörmander multiplier theorem in the bi-parameter case which was established using R. Fefferman’s boundedness criterion. Because R. Fefferman’s boundedness criterion fails in the cases of three or more parameters, it is substantially more difficult to establish such Hörmander multiplier theorems in three or more parameters than in the bi-parameter case. To assume only the optimal smoothness on the multipliers, delicate and hard analysis on the sharp estimates of the square functions on arbitrary atoms are required. Our main theorems give the boundedness on the multi-parameter Hardy spaces under the smoothness assumption of the multipliers in multi-parameter Besov spaces and show the regularity conditions to be sharp.
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Arnold, Manuel, Andreas M. Brandmaier, and Manuel C. Voelkle. "Predicting Differences in Model Parameters with Individual Parameter Contribution Regression Using the R Package ipcr." Psych 3, no. 3 (August 6, 2021): 360–85. http://dx.doi.org/10.3390/psych3030027.

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Unmodeled differences between individuals or groups can bias parameter estimates and may lead to false-positive or false-negative findings. Such instances of heterogeneity can often be detected and predicted with additional covariates. However, predicting differences with covariates can be challenging or even infeasible, depending on the modeling framework and type of parameter. Here, we demonstrate how the individual parameter contribution (IPC) regression framework, as implemented in the R package ipcr, can be leveraged to predict differences in any parameter across a wide range of parametric models. First and foremost, IPC regression is an exploratory analysis technique to determine if and how the parameters of a fitted model vary as a linear function of covariates. After introducing the theoretical foundation of IPC regression, we use an empirical data set to demonstrate how parameter differences in a structural equation model can be predicted with the ipcr package. Then, we analyze the performance of IPC regression in comparison to alternative methods for modeling parameter heterogeneity in a Monte Carlo simulation.
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Волков, Сергій Леонідович. "Binomial parameter R estimation in Clopper-Pearson method." Technology audit and production reserves 6, no. 3(8) (December 12, 2012): 23–24. http://dx.doi.org/10.15587/2312-8372.2012.5519.

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Popławski, Nikodem J. "The cosmic snap parameter in f ( R ) gravity." Classical and Quantum Gravity 24, no. 11 (May 22, 2007): 3013–20. http://dx.doi.org/10.1088/0264-9381/24/11/014.

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Jhang, Jhy‐Ping, and Shi‐Hao Lin. "The Optimal Parameter Design of CD‐R Substrate." Asian Journal on Quality 6, no. 2 (August 21, 2005): 105–15. http://dx.doi.org/10.1108/15982688200500016.

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Dissertations / Theses on the topic "R-parameter"

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Kandhai, Sulona. "Investigating the parameter space of viable models for f(R) gravity." Doctoral thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31181.

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The accelerated expansion of spacetime intuitively points to the existence of new, unknown energy fields pervading the universe, but it is has also spurred the growth of the research field of modified gravity theories. Of these, f(R) theories of gravity is the first and simplest modification to General Relativity, and have been studied extensively for their astrophysical and cosmological predictions. Power law f(R) modifications have been shown to exhibit desirable characteristics, producing the late time accelerated expansion as well as satisfying local tests of gravity. However, there is wide degeneracy among models in this class, and they are known to suffer from cosmological instabilities, which could lead to curvature singularities at finite times. This thesis addresses questions directly relating to model degeneracy and sudden singularities. Cosmologies and cosmological perturbations, resulting from a general broken power law modification to GR are generated, studied and evolved. Simulations are performed using 1+3 space time decomposition of the field equations and a dynamical systems approach to f(R) cosmology. The parameter space of this model, which includes the HuSawicki [6], Starobinsky [96] and Miranda [7] f(R) forms as subclasses, is investigated. It is found that there are regions in the parameter space which are completely singular and bound by continuous curves. We also investigate regions of the parameter space in which the attractive nature of gravity is preserved, and find that these regions intersect. The results of a Markov Chain Monte Carlo analysis significantly narrowed the viable region of the exponent parameter space of the general power law f(R) model. Current cosmological distance data; SNIa (Union 2), BAO (6dFGS, BOSS, SDSS, WiggleZ) as well as the LRG power spectrum (SDSS DR9), were used to obtain these constraints. The best fits are compared with the ΛCDM model, and leads to the conclusion that this class is still a candidate for the gravitational interaction.
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Koziolek, Heiko [Verfasser], and R. [Akademischer Betreuer] Reussner. "Parameter dependencies for reusable performance specifications of software components / Heiko Koziolek ; Betreuer: R. Reussner." Karlsruhe : KIT Scientific Publishing, 2008. http://d-nb.info/1185540741/34.

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Berg-Kralj, Mandy [Verfasser], and R. [Akademischer Betreuer] Sudik. "Die medikamentöse Geburtseinleitung - Parameter für ein erfolgreiches Management / Mandy Berg-Kralj. Betreuer: R. Sudik." Marburg : Philipps-Universität Marburg, 2014. http://d-nb.info/105299492X/34.

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Lexen, Ernst R. [Verfasser], and Peter H. [Akademischer Betreuer] Hauschildt. "Parameter sensitivity of synthetic spectra and light curves of Type Ia supernovae / Ernst R. Lexen. Betreuer: Peter H. Hauschildt." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2014. http://d-nb.info/1048626199/34.

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Müller, Carlheinz R. [Verfasser]. "Populationsgenetische Parameter der Gewebemerkmale der deutschen Bevölkerung und ihre Anwendung bei der Suche nach nicht-verwandten Blutstammzellspendern / Carlheinz R. Müller." Ulm : Universität Ulm. Medizinische Fakultät, 2002. http://d-nb.info/1015323669/34.

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Matthes, Birgit [Verfasser], K. [Akademischer Betreuer] Eder, R. [Akademischer Betreuer] Ringseis, and G. [Akademischer Betreuer] Stangl. "Die Wirkung von Hydrolysaten aus Nahrungsproteinen auf funktionelle Parameter von humanen Aortenendothelzellen / Birgit Matthes. Betreuer: K. Eder ; R. Ringseis ; G. Stangl." Halle, Saale : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2009. http://d-nb.info/1024937798/34.

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Wenzelburger-Sinner, Christina [Verfasser], and R. [Akademischer Betreuer] Huber. "Vergleich von Schlafarchitektur und Parameter der Schlafqualität bei Patienten/innen mit Chronic Fatigue Syndrome und gesunden Kontrollpersonen / Christina Wenzelburger-Sinner. Betreuer: R. Huber." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2014. http://d-nb.info/1063278619/34.

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Peters, Gunnar [Verfasser], H. [Gutachter] Zwipp, J. [Gutachter] Neidel, and R. [Gutachter] Hoffmann. "Korrelation biomechanischer und MR-tomografischer Parameter in der Verlaufsbeobachtung des Transplantatremodelings nach vorderem Kreuzbandersatz / Gunnar Peters ; Gutachter: H. Zwipp, J. Neidel, R. Hoffmann." Berlin : Humboldt-Universität zu Berlin, 2003. http://d-nb.info/1207643033/34.

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Probst, Sebastian [Verfasser]. "The Moran model with recombination and the long-term evolutionary experiment with E. coli by R. E. Lensk. Modelling, parameter estimation, and simulation / Sebastian Probst." Bielefeld : Universitätsbibliothek Bielefeld, 2018. http://d-nb.info/117198779X/34.

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Müssig, Oliver [Verfasser], R. Willi [Akademischer Betreuer] Grunewald, Lutz [Akademischer Betreuer] Walter, and Ralf [Akademischer Betreuer] Dressel. "Bedeutung des löslichen CD14-Rezeptors in Plasma und Urin als immunologischer Parameter nach Nierentransplantation und sein Verhältnis zu den löslichen Rezeptoren IL2R, CD4 und CD8 / Oliver Müssig. Gutachter: R.-Willi Grunewald ; Lutz Walter ; Ralf Dressel. Betreuer: R.-Willi Grunewald." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2011. http://d-nb.info/1044248033/34.

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Books on the topic "R-parameter"

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Statistical tools for nonlinear regression: A practical guide with S-PLUS and R examples. 2nd ed. New York: Springer, 2004.

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Tucker, Gary B. pH. IN Williams, R. D.; Schuman, G. E., editors, Reclaiming mine soils and overburden in the western United States--Analytic parameters and procedures. S.l: s.n, 1987.

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Nash, John C. Nonlinear Parameter Optimization Using R Tools. Wiley & Sons, Incorporated, John, 2014.

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Nash, John C. Nonlinear Parameter Optimization Using R Tools. Wiley & Sons, Incorporated, John, 2014.

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Nash, John C. Nonlinear Parameter Optimization Using R Tools. Wiley & Sons, Incorporated, John, 2014.

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Nash, John C. Nonlinear Parameter Optimization Using R Tools. Wiley & Sons, Limited, John, 2014.

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Nonlinear Parameter Optimization Using R Tools. John Wiley & Sons Inc, 2014.

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Isermann, R. System Identification: Tutorials Presented at the 5th IFAC Symposium on Identification and System Parameter Estimation, F. R. Germany, September 1979. Elsevier Science & Technology Books, 2014.

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Loo, Colleen. TMS in the treatment of major depressive disorder. Edited by Charles M. Epstein, Eric M. Wassermann, and Ulf Ziemann. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780198568926.013.0040.

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There is a growing body of literature on animal experiments using behavioural paradigms or investigations of neurobiological mechanisms to assess the antidepressant effects of repetitive (r)TMS. This article summarizes the findings from these studies. The evidence from these studies is supportive of antidepressant effects for rTMS. This evidence has provided several plausible hypotheses for the antidepressant effects of rTMS. Several studies have suggested that rTMS may have neuroprotective effects. There are many variations in the way rTMS can be given as a clinical treatment, involving choices over treatment site, stimulation parameters and treatment course. Clinical trials to date have found rTMS to be safe when given within recommended parameter guidelines. Further research is needed to understand the role of rTMS with respect to other established antidepressant treatments.
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Zabrodin, Anton. Quantum spin chains and classical integrable systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797319.003.0013.

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This chapter is a review of the recently established quantum-classical correspondence for integrable systems based on the construction of the master T-operator. For integrable inhomogeneous quantum spin chains with gl(N)-invariant R-matrices in finite-dimensional representations, the master T-operator is a sort of generating function for the family of commuting quantum transfer matrices depending on an infinite number of parameters. Any eigenvalue of the master T-operator is the tau-function of the classical modified KP hierarchy. It is a polynomial in the spectral parameter which is identified with the 0th time of the hierarchy. This implies a remarkable relation between the quantum spin chains and classical many-body integrable systems of particles of the Ruijsenaars-Schneider type. As an outcome, a system of algebraic equations can be obtained for the spectrum of the spin chain Hamiltonians.
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Book chapters on the topic "R-parameter"

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Dormann, Carsten F. "Verteilungen, Parameter und Schätzer in R." In Parametrische Statistik, 67–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34786-3_4.

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Dormann, Carsten F. "Verteilungen, Parameter und Schätzer in R." In Parametrische Statistik, 69–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54684-0_4.

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Okado, Masato, and Hiroyuki Yamane. "R-matrices with gauge parameters and multi-parameter quantized enveloping algebras." In ICM-90 Satellite Conference Proceedings, 289–93. Tokyo: Springer Japan, 1991. http://dx.doi.org/10.1007/978-4-431-68170-0_15.

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Okamura, Hiroyuki, and Tadashi Dohi. "mapfit: An R-Based Tool for PH/MAP Parameter Estimation." In Quantitative Evaluation of Systems, 105–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22264-6_7.

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Nguyen, Van Kinh, and Esteban A. Hernandez-Vargas. "Parameter Estimation in Mathematical Models of Viral Infections Using R." In Methods in Molecular Biology, 531–49. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8678-1_25.

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Zhiyong, Zheng, Liu Fengxia, Lu Yunfan, and Tian Kun. "Cyclic Lattices, Ideal Lattices, and Bounds for the Smoothing Parameter." In Financial Mathematics and Fintech, 129–53. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2366-3_7.

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AbstractCyclic lattices and ideal lattices were introduced by Micciancio (2002), Lyubashevsky and Micciancio (2006), respectively, which play an efficient role in Ajtai’s construction of a collision resistant Hash function (see Ajtai (1996), Ajtai and Dwork (1997)) and in Gentry’s construction of fully homomorphic encryption (see Gentry (2009)). Let $$R=Z[x]/\langle \phi (x)\rangle $$ R = Z [ x ] / ⟨ ϕ ( x ) ⟩ be a quotient ring of the integer coefficients polynomials ring, Lyubashevsky and Micciancio regarded an ideal lattice as the correspondence of an ideal of R, but they neither explain how to extend this definition to whole Euclidean space $$\mathbb {R}^n$$ R n , nor exhibit the relationship of cyclic lattices and ideal lattices. In this chapter, we regard the cyclic lattices and ideal lattices as the correspondences of finitely generated R-modules, so that we may show that ideal lattices are actually a special subclass of cyclic lattices, namely, cyclic integer lattices. In fact, there is a one to one correspondence between cyclic lattices in $$\mathbb {R}^n$$ R n and finitely generated R-modules (see Theorem 4). On the other hand, since R is a Noether ring, each ideal of R is a finitely generated R-module, so it is natural and reasonable to regard ideal lattices as a special subclass of cyclic lattices (see Corollary 7). It is worth noting that we use a more general rotation matrix here, so our definition and results on cyclic lattices and ideal lattices are more general forms. As an application, we provide a cyclic lattice with an explicit and countable upper bound for the smoothing parameter (see Theorem 5). It is an open problem that is the shortest vector problem on cyclic lattice NP-hard (see Micciancio (2002)). Our results may be viewed as a substantial progress in this direction.
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Palokangas, Tapio. "One-Parameter GHG Emission Policy with R&D-Based Growth." In Dynamic Modeling and Econometrics in Economics and Finance, 111–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54086-8_5.

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Osman, Ahmad Farid. "Parameter Estimation of the Exponential Smoothing with Independent Regressors Using R." In Proceedings of the International Conference on Computing, Mathematics and Statistics (iCMS 2015), 175–82. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2772-7_18.

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Allet, M., A. Converse, W. Haeberli, W. Hajdas, J. Lang, H. Lüscher, M. A. Miller, et al. "Measurement of the Time Reversal Violating R-Parameter in the Decay of 8Li." In High Energy Spin Physics, 585–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86995-2_75.

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Montesinos López, Osval Antonio, Abelardo Montesinos López, and Jose Crossa. "Elements for Building Supervised Statistical Machine Learning Models." In Multivariate Statistical Machine Learning Methods for Genomic Prediction, 71–108. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89010-0_3.

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AbstractThis chapter gives details of the linear multiple regression model including assumptions and some pros and cons, the maximum likelihood. Gradient descendent methods are described for learning the parameters under this model. Penalized linear multiple regression is derived under Ridge and Lasso penalties, which also emphasizes the estimation of the regularization parameter of importance for its successful implementation. Examples are given for both penalties (Ridge and Lasso) and but not for penalized regression multiple regression framework for illustrating the circumstances when the penalized versions should be preferred. Finally, the fundamentals of penalized and non-penalized logistic regression are provided under a gradient descendent framework. We give examples of logistic regression. Each example comes with the corresponding R codes to facilitate their quick understanding and use.
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Conference papers on the topic "R-parameter"

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Campbell, James D., and Mahta Moghaddam. "GNSS-R Parameter Sensitivities for Soil Moisture Retrieval." In 2018 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2018. http://dx.doi.org/10.1109/iceaa.2018.8520512.

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da Costa, Joao Paulo C. L., Florian Roemer, Martin Weis, and Martin Haardt. "Robust R-D parameter estimation via closed-form PARAFAC." In 2010 International ITG Workshop on Smart Antennas (WSA 2010). IEEE, 2010. http://dx.doi.org/10.1109/wsa.2010.5456382.

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Zhang, Lei, Tingting Lu, Pengwei Yu, and Chunxia Zhang. "Parameter Measurement of Soil Moisture based on GNSS-R Signals." In 2019 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA). IEEE, 2019. http://dx.doi.org/10.1109/icaica.2019.8873523.

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Liu, Xiaodong, Qionghai Dai, and Chonggang Fu. "Improved Methods for Initializing R-Q Model Parameters and Quantization Parameter in H.264 Rate Control." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.243.

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Thotla, Vivek, Mohammad Tayeb Ahmad Ghasr, Maciej Zawodniok, S. Jagannathan, and Sanjeev Agarwal. "Detection and localization of R/C electronic devices using Hurst parameter." In SPIE Defense, Security, and Sensing, edited by Edward M. Carapezza. SPIE, 2012. http://dx.doi.org/10.1117/12.919375.

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Partom, Y. "Further investigation of the target resistance penetration parameter R[sub t]." In Shock compression of condensed matter. AIP, 2000. http://dx.doi.org/10.1063/1.1303663.

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Sofuoğlu, Değer, and Aroonkumar Beesham. "f(R,T) Gravity and Constant Jerk Parameter in FLRW Spacetime †." In ECU 2023. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/ecu2023-14038.

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Ren, Chengfang, Julien Le Kernec, Jerome Galy, Eric Chaumette, Pascal Larzabal, and Alexandre Renaux. "A constrained hybrid Cramér-Rao bound for parameter estimation." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178616.

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Cai, Xingqiang, Cheng Wu, Jie Sheng, Jin Zhang, and Yiming Wang. "A Parameter Optimization Method for LTE-R Handover Based on Reinforcement Learning." In 2020 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2020. http://dx.doi.org/10.1109/iwcmc48107.2020.9148194.

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Maeda, Noboru, Shinji Fukui, Takashi Naoi, Kouji Ichikawa, Toshikazu Sekine, and Yasuhiro Takahashi. "Mathematics of 2r-port S-parameter Estimation by the r-port measurements." In 2013 IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS). IEEE, 2013. http://dx.doi.org/10.1109/edaps.2013.6724441.

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Reports on the topic "R-parameter"

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Lee, B., M. Schulz, and B. de Supinski. Regression Strategies for Parameter Space Exploration: A Case Study in Semicoarsening Multigrid and R. Office of Scientific and Technical Information (OSTI), September 2006. http://dx.doi.org/10.2172/900144.

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Kayran, D. R&D ERL: Beam dynamics, parameters, and physics to be learned. Office of Scientific and Technical Information (OSTI), February 2010. http://dx.doi.org/10.2172/1013462.

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Silva, Mario, Tor Bjørnstad, and Sissel Opsahl Viig. Tracer-based interwell Sor-monitoring and evaluation of efficiency in EOR-methods. University of Stavanger, November 2021. http://dx.doi.org/10.31265/usps.207.

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A partitioning inter-well tracer test (PITT) determines the residual (or even remaining) oil saturation (SOR) in the flooded region between well-pairs. This type of tracer test can be used to identify improved oil recovery (IOR) targets, evaluate IOR projects, evaluate enhanced oil recovery (EOR) methods, and improve reservoir description for efficient hydrocarbon production. Thus, the main objective of the work with inter-well oil/water partitioning tracers developed within the framework of the IOR Centre is to provide tools and methodologies to improve reservoir description for efficient management of resources. The present report aims to provide insight to its users on the deployment of tracer technology in the inter- well region of water-flooded reservoirs to determine SOR. In turn, this parameter can be used as basis to evaluate the efficiency of several oil-production related operations. It will explain workflows, expertise, and tools needed as well as the importance of the information obtained, and methods to obtain it. This report is directed towards operators, primarily to reservoir engineers and reservoir managers, and service companies, particularly those already engaged on the deployment of tracer technology or those who aim to begin this activity. R&D personnel working in both operators and service companies may also benefit from the contents of the present report.
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Leal, L. C., and N. M. Larson. SAMDIST: A computer code for calculating statistical distributions for R-matrix resonance parameters. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/130670.

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5

Leal, L. C. SAMDIST: A Computer Code for Calculating Statistical Distributions for R-Matrix Resonance Parameters. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/814587.

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6

Bruce. L52090 Near-Neutral pH SCC - Dormancy and Re-Initiation of Stress Corrosion Cracks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2003. http://dx.doi.org/10.55274/r0011360.

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The objective of this research project was to identify the environmental, metallurgical, and mechanical conditions that lead to dormancy and re-initiation of previously dormant stress corrosion cracks. These parameters would assist pipeline operators in mitigating near-neutral pH SCC on their systems, and allocating resources for pipeline maintenance. Unload-reload transients were found to increase the crack growth rate in the majority of the experiments and to re-initiate dormant stress corrosion cracks in several cases. On the other hand, there was no consistent effect of the presence or magnitude of overloads on crack growth behavior. The simulated hydrostatic tests had relatively little effect on the crack velocities for near dormant conditions, but consistently inhibited subsequent crack growth for actively growing cracks. The results of analyses of the data and modeling suggest that the R ratio (ratio of minimum to maximum pressure) and frequency of pressure fluctuations on an operating pipeline can be used as a tool to rank segments of pipelines base on the mechanical driving force for propagation of near neutral pH SCC. The concept of a critical crack tip strain rate, which can be related to the R ratio and frequency, also can be used to reasonably predict whether a given set of loading conditions will lead to dormancy.
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Leal, L. C. R-MATRIX RESONANCE ANALYSIS AND STATISTICAL PROPERTIES OF THE RESONANCE PARAMETERS OF 233U IN THE NEUTRON ENERGY RANGE FROM THERMAL TO 600 eV. Office of Scientific and Technical Information (OSTI), February 2001. http://dx.doi.org/10.2172/777670.

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8

Osadchyi, Volodymyr, Olesya Zavaliy, Liudmyla Palamarchuk, Oleg Skrynyk, Valeriy Osypov, Dmytro Oshurok, and Vladyslav Sidenko. Ukrainian gridded monthly air temperature (min, max, mean) and atmospheric precipitation data (1946-2020). Ukrainian Hydrometeorological Institute (UHMI), July 2022. http://dx.doi.org/10.15407/uhmi.report.02.

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The dataset contains long gridded time series of monthly minimum, maximum and mean air temperature and atmospheric precipitation for Ukraine, covering the period of 1946-2020. The dataset was built through the thorough historical climate data processing, which included all mandatory steps: data rescue/digitization of missing values and/or periods in station time series from paper sources, their quality control and homogenization, and interpolation on 0.1x0.1 grid. The station data comprised monthly values of 178 stations for air temperature (for each of three parameters) and 224 stations for atmospheric precipitation. The quality assurance and homogenization were performed by means of the widely used homogenization software HOMER (HOMogEnization in R), while the well-known interpolation software MISH (Meteorological Interpolation based on Surface Homogenized data basis) was used to perform the gridding.
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Dunwoody, John, Joshua White, Tarik Saleh, Tashiema Ulrich, and Amber Telles. Summary report documenting development of processing parameters for fabrication of doped and undoped fuel pellets of agreed upon sizes to support independent irradiation performance R&D. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1669074.

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Kozyr, Alex. Determination of Carbon Dioxide, Hydrograohic, and Chemical Parameters During the R/V Nathaniel B. Palmer Cruise in the Southern Indian Ocean (WOCE Section S04I, 3 May - 4 July, 1996). Office of Scientific and Technical Information (OSTI), March 2006. http://dx.doi.org/10.2172/1182012.

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