Relevant bibliographies by topics / Binary correlation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Binary correlation'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Binary correlation"

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Nomura, Takanori, Katsunori Matsuoka, Yoshiki Ichioka, and Kazuyoshi Itoh. "Binary Fourier phase-only correlation." Optics Letters 15, no. 14 (July 15, 1990): 810. http://dx.doi.org/10.1364/ol.15.000810.

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Farbiash, N., and R. Steinitz. "Spin Correlation in Binary Systems." International Astronomical Union Colloquium 191 (August 2004): 15–19. http://dx.doi.org/10.1017/s0252921100008368.

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AbstractWe examine the correlation of projected rotational velocities in binary systems. It is an extension of previous work (Steinitz and Pyper, 1970; Levato, 1974). An enlarged data basis and new tests enable us to conclude that there is indeed correlation between the projected rotational velocities of components of binaries. In fact we suggest that spins are already correlated.
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Harju, Tero, and Dirk Nowotka. "Border correlation of binary words." Journal of Combinatorial Theory, Series A 108, no. 2 (November 2004): 331–41. http://dx.doi.org/10.1016/j.jcta.2004.07.009.

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Tsuneda, Akio. "Various Auto-Correlation Functions of m-Bit Random Numbers Generated from Chaotic Binary Sequences." Entropy 23, no. 10 (September 30, 2021): 1295. http://dx.doi.org/10.3390/e23101295.

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This paper discusses the auto-correlation functions of m-bit random numbers obtained from m chaotic binary sequences generated by one-dimensional nonlinear maps. First, we provide the theoretical auto-correlation function of an m-bit sequence obtained by m binary sequences that are assumed to be uncorrelated to each other. The auto-correlation function is expressed by a simple form using the auto-correlation functions of the binary sequences. This implies that the auto-correlation properties of the m-bit sequences can be easily controlled by the auto-correlation functions of the original binary sequences. In numerical experiments using a computer, we generated m-bit random sequences using some chaotic binary sequences with prescribed auto-correlations generated by one-dimensional chaotic maps. The numerical experiments show that the numerical auto-correlation values are almost equal to the corresponding theoretical ones, and we can generate m-bit sequences with a variety of auto-correlation properties. Furthermore, we also show that the distributions of the generated m-bit sequences are uniform if all of the original binary sequences are balanced (i.e., the probability of 1 (or 0) is equal to 1/2) and independent of one another.
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Biondi, Giulio, and Valentina Franzoni. "Discovering Correlation Indices for Link Prediction Using Differential Evolution." Mathematics 8, no. 11 (November 23, 2020): 2097. http://dx.doi.org/10.3390/math8112097.

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Binary correlation indices are crucial for forecasting and modelling tasks in different areas of scientific research. The setting of sound binary correlations and similarity measures is a long and mostly empirical interactive process, in which researchers start from experimental correlations in one domain, which usually prove to be effective in other similar fields, and then progressively evaluate and modify those correlations to adapt their predictive power to the specific characteristics of the domain under examination. In the research of prediction of links on complex networks, it has been found that no single correlation index can always obtain excellent results, even in similar domains. The research of domain-specific correlation indices or the adaptation of known ones is therefore a problem of critical concern. This paper presents a solution to the problem of setting new binary correlation indices that achieve efficient performances on specific network domains. The proposed solution is based on Differential Evolution, evolving the coefficient vectors of meta-correlations, structures that describe classes of binary similarity indices and subsume the most known correlation indices for link prediction. Experiments show that the proposed evolutionary approach always results in improved performances, and in some cases significantly enhanced, compared to the best correlation indices available in the link prediction literature, effectively exploring the correlation space and exploiting its self-adaptability to the given domain to improve over generations.
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Gyarmati, Katalin. "On the correlation of binary sequences." Studia Scientiarum Mathematicarum Hungarica 42, no. 1 (January 1, 2005): 79–93. http://dx.doi.org/10.1556/sscmath.42.2005.1.7.

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C. Mauduit conjectured that C2(E)CN3(EN) ?? Nc always holds with some constant 1/2< c = 1. This will be proved for c=2/3, more exactly if for a sequence EN =C {-1,+1}N we have C2 (EN) << N2/3 then C3 (EN) ?? N1/2. Indeed, a more general theorem is proved, involving correlation measures.
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Foor, Wesley E. "Binary optical correlation using pyramidal processing." Optical Engineering 33, no. 6 (June 1, 1994): 1838. http://dx.doi.org/10.1117/12.174453.

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Luke, H. D., and H. D. Schotten. "Odd-perfect, almost binary correlation sequences." IEEE Transactions on Aerospace and Electronic Systems 31, no. 1 (January 1995): 495–98. http://dx.doi.org/10.1109/7.366335.

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Ridout, Martin S., Clarice G. B. Demetrio, and David Firth. "Estimating Intraclass Correlation for Binary Data." Biometrics 55, no. 1 (March 1999): 137–48. http://dx.doi.org/10.1111/j.0006-341x.1999.00137.x.

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Luke, H. D. "Binary Alexis sequences with perfect correlation." IEEE Transactions on Communications 49, no. 6 (June 2001): 966–68. http://dx.doi.org/10.1109/26.930625.

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Dissertations / Theses on the topic "Binary correlation"

1

Orasch, Markus, Friedrich Leisch, and Andreas Weingessel. "On specifying correlation matrices for binary data." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/486/1/document.pdf.

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We are interested in generating binary data via specifying the marginals and the correlation matrix only. However, from a practical point of view it is not obvious how to construct such a matrix, since it has to be positive (semi-)definite and satisfy some special conditions as well. Hence, using R, a free implementation of the S statistical language, we give a graphical interface to input specific marginals and correlations and to change the given "not working" correlation matrix to a possibly "working" one.
Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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Pei, Yanbo. "Statistical inference for correlated binary data from bilateral studies." HKBU Institutional Repository, 2009. http://repository.hkbu.edu.hk/etd_ra/1077.

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Houston, Alice Elizabeth Dashwood. "On binary sequences with specific linear complexity and correlation properties." Thesis, Royal Holloway, University of London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307031.

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For many applications, such as cryptography and digital communications, binary sequences with certain specific properties are required. These include a balance of 0's and 1's in a period, ideal runs frequencies, good auto- and cross-correlation spectra, and high linear complexity. Perfect Linear Complexity Profile sequences (PLCPs) have the linear complexity of all subsequences (starting with the first bit) equal to half the length of the subsequence (this is the expected value for a random sequence). We investigate the density - proportion of ones - of finite length PLCPs, both in general and for specific examples. We gain results on the average, maximal and minimal densities, as well as their limits as the length tends to infinity. We also study whether the PLCP property is preserved under various decimations. PLCPs are characterised by a simple linear recurrence modulo 2. We look at similar "nearly" perfect profiles and characterise sequences with these profiles in terms of similar recurrences. Also sequences with a PLCP up to a point and then constant complexity are characterised in terms of the convergents in the continued fraction expansion of the generating function of PLCPs, and we look briefly at their corresponding periods. Sequences with bounded jumps in their linear complexity are discussed and a method of generating them is suggested. The interleaving of shifts of a sequence with out-of-phase auto-correlation equal to -1 and balance, in a specific order, seems to be a fundamental method of generating longer sequences with this auto-correlation property. It is shown that two pairs of families of these sequences, derived in different ways, are in fact equivalent. The analysis highlights the general method mentioned above, and so provides examples of families of sequences with 2-valued auto-correlation by changing the ingredients in the interleaving pattern. We also look at the cross-correlation of sequences with this interleaved structure.
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Hintze, Christopher Jerry. "Modeling correlation in binary count data with application to fragile site identification." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4278.

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Available fragile site identification software packages (FSM and FSM3) assume that all chromosomal breaks occur independently. However, under a Mendelian model of inheritance, homozygosity at fragile loci implies pairwise correlation between homologous sites. We construct correlation models for chromosomal breakage data in situations where either partitioned break count totals (per-site single-break and doublebreak totals) are known or only overall break count totals are known. We derive a likelihood ratio test and Neyman’s C( α) test for correlation between homologs when partitioned break count totals are known and outline a likelihood ratio test for correlation using only break count totals. Our simulation studies indicate that the C( α) test using partitioned break count totals outperforms the other two tests for correlation in terms of both power and level. These studies further suggest that the power for detecting correlation is low when only break count totals are reported. Results of the C( α) test for correlation applied to chromosomal breakage data from 14 human subjects indicate that detection of correlation between homologous fragile sites is problematic due to sparseness of breakage data. Simulation studies of the FSM and FSM3 algorithms using parameter values typical for fragile site data demonstrate that neither algorithm is significantly affected by fragile site correlation. Comparison of simulated fragile site misclassification rates in the presence of zero-breakage data supports previous studies (Olmsted 1999) that suggested FSM has lower false-negative rates and FSM3 has lower false-positive rates.
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Svensson, Patrik. "Machine learning techniques for binary classification of microarray data with correlation-based gene selection." Thesis, Uppsala universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-302402.

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Microarray analysis has made it possible to predict clinical outcomes or diagnosing patients with the help of biological data such as biomarkers or gene expressions. The data from microarrays are however characterized by high dimensionality and sparsity so that traditional statistical methods are difficult to use and machine learning algorithms are therefore applied for classification and prediction. In this thesis, five different machine learning algorithms were applied on four different microarray datasets from cancer studies and evaluated in terms of cross-validation performance and classification accuracy. A correlation-based gene selection method was also applied in order to reduce the amount of genes with the aim of improving accuracy of the algorithms. The findings of the thesis imply that the algorithm s elastic net and nearest shrunken centroid perform best on datasets with no gene selection, while support vector machine and random forest perform well on the reduced datasets with gene selection. However, no machine learning algorithm can be said to consistently outperform any of the other and the nature of the dataset seem to be a more important influence on the performance of the algorithm. The correlation-based gene selection method did however improve prediction accuracy of all the models by removing irrelevant genes.
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Zhang, Yanwei. "A hierarchical Bayesian approach to model spatially correlated binary data with applications to dental research." Diss., Connect to online resource - MSU authorized users, 2008.

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Ramm, David John. "A spectroscopic study of detached binary systems using precise radial velocities." Thesis, University of Canterbury. Physics and Astronomy, 2004. http://hdl.handle.net/10092/1525.

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Spectroscopic orbital elements and/or related parameters have been determined for eight binary systems, using radial-velocity measurements that have a typical precision of about 15 ms⁻¹. The orbital periods of these systems range from about 10 days to 26 years, with a median of about 6 years. Orbital solutions were determined for the seven systems with shorter periods. The measurement of the mass ratio of the longest-period system, HD217166, demonstrates that this important astrophysical quantity can be estimated in a model-free manner with less than 10% of the orbital cycle observed spectroscopically.\\ Single-lined orbital solutions have been derived for five of the binaries. Two of these systems are astrometric binaries: β Ret and ν Oct. The other SB1 systems were 94 Aqr A, θ Ant, and the 10-day system, HD159656. The preliminary spectroscopic solution for θ Ant (P~18 years), is the first one derived for this system. The improvement to the precision achieved for the elements of the other four systems was typically between 1--2 orders of magnitude. The very high precision with which the spectroscopic solution for HD159656 has been measured should allow an investigation into possible apsidal motion in the near future. In addition to the variable radial velocity owing to its orbital motion, the K-giant, ν Oct, has been found to have an additional long-term irregular periodicity, attributed, for the time being, to the rotation of a large surface feature.\\ Double-lined solutions were obtained for HD206804 (K7V+K7V), which previously had two competing astrometric solutions but no spectroscopic solution, and a newly discovered seventh-magnitude system, HD181958 (F6V+F7V). This latter system has the distinction of having components and orbital characteristics whose study should be possible with present ground-based interferometers. All eight of the binary systems have had their mass ratio and the masses of their components estimated.\\ The following comments summarize the motivation for getting these results, and the manner in which the research was carried out. \\ The majority of stars exist in binary systems rather than singly as does the Sun. These systems provide astronomers with the most reliable and proven means to determine many of the fundamental properties of stars. One of these properties is the stellar mass, which is regarded as being the most important of all, since most other stellar characteristics are very sensitive to the mass. Therefore, empirical masses, combined with measurements of other stellar properties, such as radii and luminosities, are an excellent test for competing models of stellar structure and evolution.\\ Binary stars also provide opportunities to observe and investigate many extraordinary astrophysical processes that do not occur in isolated stars. These processes often arise as a result of direct and indirect interactions between the components, when they are sufficiently close to each other. Some of the interactions are relatively passive, such as the circularization of the mutual orbits, whilst others result from much more active processes, such as mass exchange leading to intense radiation emissions. \\ A complete understanding of a binary system's orbital characteristics, as well as the measurement of the all-important stellar masses, is almost always only achieved after the binary system has been studied using two or more complementary observing techniques. Two of the suitable techniques are astrometry and spectroscopy. In favourable circumstances, astrometry can deduce the angular dimensions of the orbit, the total mass of the system, and sometimes, its distance from us. Spectroscopy, on the other hand, can determine the linear scale of the orbit and the ratio of the stellar masses, based on the changing radial velocities of both stars. When a resolved astrometric orbital solution is also available, the velocities of both stars can allow the binary system's parallax to be determined, and the velocities of one star can provide a measure of the system mass ratio.\\ Unfortunately, relatively few binary systems are suited to these complementary studies. Underlying this difficulty are the facts that, typically, astrometrically-determined orbits favour those with periods of years or decades, whereas spectroscopic orbital solutions are more often measured for systems with periods of days to months. With the development of high-resolution astrometric and spectroscopic techniques in recent years, it is hoped that many more binary systems will be amenable to these complementary strategies.\\ Several months after this thesis began, a high-resolution spectrograph, HERCULES, commenced operations at the Mt John University Observatory, to be used in conjuction with the 1-metre McLellan telescope. For late-type stars, the anticipated velocity precision was ≲10 ms⁻¹. The primary goals of this thesis were: 1.~to assess the performance of HERCULES and the related reduction software that subsequently followed, 2.~to carry out an observational programme of 20 or so binary systems, and 3.~to determine the orbital and stellar parameters which characterize some of these systems. The particular focus was on those binaries that have resolved or unresolved astrometric orbital solutions, which therefore may be suited to complementary investigations.\\ HERCULES was used to acquire spectra of the programme stars, usually every few weeks, over a timespan of about three years. High-resolution spectra were acquired for the purpose of measuring precise radial velocities of the stars. When possible, orbital solutions were derived from these velocities, using the method of differential corrections.
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Apanasovich, Tatiyana Vladimirovna. "Testing for spatial correlation and semiparametric spatial modeling of binary outcomes with application to aberrant crypt foci in colon carcinogenesis experiments." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/2674.

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In an experiment to understand colon carcinogenesis, all animals were exposed to a carcinogen while half the animals were also exposed to radiation. Spatially, we measured the existence of aberrant crypt foci (ACF), namely morphologically changed colonic crypts that are known to be precursors of colon cancer development. The biological question of interest is whether the locations of these ACFs are spatially correlated: if so, this indicates that damage to the colon due to carcinogens and radiation is localized. Statistically, the data take the form of binary outcomes (corresponding to the existence of an ACF) on a regular grid. We develop score??type methods based upon the Matern and conditionally autoregression (CAR) correlation models to test for the spatial correlation in such data, while allowing for nonstationarity. Because of a technical peculiarity of the score??type test, we also develop robust versions of the method. The methods are compared to a generalization of Moran??s test for continuous outcomes, and are shown via simulation to have the potential for increased power. When applied to our data, the methods indicate the existence of spatial correlation, and hence indicate localization of damage. Assuming that there are correlations in the locations of the ACF, the questions are how great are these correlations, and whether the correlation structures di?er when an animal is exposed to radiation. To understand the extent of the correlation, we cast the problem as a spatial binary regression, where binary responses arise from an underlying Gaussian latent process. We model these marginal probabilities of ACF semiparametrically, using ?xed-knot penalized regression splines and single-index models. We ?t the models using pairwise pseudolikelihood methods. Assuming that the underlying latent process is strongly mixing, known to be the case for many Gaussian processes, we prove asymptotic normality of the methods. The penalized regression splines have penalty parameters that must converge to zero asymptotically: we derive rates for these parameters that do and do not lead to an asymptotic bias, and we derive the optimal rate of convergence for them. Finally, we apply the methods to the data from our experiment.
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Fitzner, Arnas Gerald. "Effects of alloying elements on twinning in alpha-titanium alloys." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/effects-of-alloying-elements-on-twinning-in-alphatitanium-alloys(5d94e41b-face-40a9-b2d3-28223a2f28ad).html.

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It has been found that commercially pure (CP) Titanium (Ti) undergoes substantial amount of deformation twinning during plastic forming in a wide range of temperatures and strain rates giving CP-Ti good ductility and allowing up to 90% thickness reduction by cold rolling. Aluminium (Al) rich ! Ti-alloys lack this superior ductility but exhibit therefore up to five times higher yield strength, which was connected experimentally to reduced activity of deformation twinning with addition of Al to Ti. Ultimately this is also valid in the ! phase of two-phase alloys such as Ti6Al4V and thought to be key to the reduced ductility in Al rich alloys. It is to date unclear if ordering of Al in the Ti matrix, a change in the stacking fault energy (SFE) with alloying or a transition of the cellular dislocation structures in CP-Ti to planar slip patterns at high Al contents reduces twin activity. The focus of this dissertation project is therefore the transition of microstructural details and the deformation structures in the ! phase with increasing Al concentration. For simplified investigations binary Ti-Al alloys containing 3.5, 7, 10 and 13at.% Al have been created with comparable grain morphology and texture within this study. For a better understanding of the role of Al also binary Ti-Sn (Tin) alloys (1 & 3.4at.% Sn) and Ti-Zr (Zirconium) alloys (3.6 & 10at.%) as well as an Oxygen (O) rich Ti-10at.%Al and the industrial compositions of Ti6Al4V were produced on the same route and investigated by the same methods. This alloy range allows evaluation of the effects of the c/a ratio, ordering phenomena and the SFE on the twin activity. The knowledge was finally transferred to industrially forged CP-Ti and Ti5Al2.5Sn. TEM and neutron diffraction confirmed the onset of Ti3Al formation from Al concentrations above 7at.% (4wt%), but no ordering of Zr or Sn atoms was found after solution treatments. The evolution of lattice strain and lattice reorientation due to twinning with increasing compressive strain was captured by in-situ experiments under neutron diffraction at Engin-X, ISIS. Post-mortem EBSD micro and macro texture mappings revealed that the twin fraction in Al reduces above a critical concentration of 7at.% (4wt%), which was enhanced with increasing ordering towards Ti3Al. Sn and Zr addition showed no significant effect on the overall twin fraction, but increased twin numbers with facilitated nucleation and impeded twin growth, which may be related to the SFE. Increasing slip planarity and a transition from prismatic slip towards basal slip with addition of Al was found with means of Digital image correlation (DIC). DIC also revealed intense prismatic slip in grains undergoing !"!! tension twinning and virtually barely any strain accumulation within a twin below 9% plastic strain, rationalised by much increased nanohardness in the twin in comparison to the parent. Nanoindentation also revealed that alloying with Al reduces the crystal anisotropy. Finally it is believed that ordering and the closely related transition of slip patterns lead to the reduction in twin activity, while c/a ratio, crystal anisotropy and SFE seem less important.
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Martins, Marcio Marques. "Influência de parâmetros moleculares em funções de correlação temporal na dinâmica de solvatação mecânica." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2004. http://hdl.handle.net/10183/6896.

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No presente trabalho descrevemos nossos resultados relativos à investigação da dinâmica de solvatação mecânica por meio de simulações por dinâmica molecular, respeitando o regime da resposta linear, em sistemas-modelo de argônio líquido com um soluto monoatômico ou diatômico dissolvido. Estudamos sistematicamente a influência dos parâmetros moleculares dos solutos (tamanho, polarizabilidade) e da densidade frente a vários modelos de solvatação. Funções de Correlação Temporal da Energia de Solvatação foram calculadas com relação à correlações de n-corpos (n = 2; 3) distinguindo interações repulsivas e atrativas para ambos os sistemas líquidos. Também obtivemos segundas derivadas temporais dessas funções referindo-se à parcelas translacionais, rotacionais e roto-translacionais na solução do diatômico. Encontramos que funções de correlação temporal coletivas podem ser razoavelmente bem aproximadas por correlações binárias a densidades baixas e, a densidades altas, correlações ternárias tornam-se mais importantes produzindo um descorrelacionamento mais rápido das funções coletivas devido a efeitos de cancelamento parciais. As funções de correlação para interações repulsivas e atrativas exibem comportamentos dinâmicos independentes do modelo de solvatação devido a fatores de escalonamento linear que afetam apenas as amplitudes das dessas funções de correlação temporal. Em geral, os sistemas com grau de liberdade rotacional apresentam tempos de correlação mais curtos para a dinâmica coletiva e tempos de correlação mais longos para as funções binárias e ternárias. Finalmente, esse estudo mostra que os sistemas contendo o diatômico relaxam-se predominantemente por mecanismos translacionais binários em modelos de solvatação envolvendo alterações apenas na polarizabilidade do soluto, e por mecanismos rotacionais atrativos binários em modelos envolvendo alterações no comprimento de ligação.
In the present work, we describe our results concerning our molecular dynamics investigation of the mechanical solvation dynamics within the linear response regime in model systems composed by liquid argon with a monoatomic or diatomic solute. The effect of molecular parameters (size, polarizability) and density has been elucidated for various solvation models. Time Correlation Functions for the solvation energy were calculated and separated into n-body (n = 2; 3) contributions distinguishing repulsive and attractive interactions in both liquid systems. In addition, we computed second time derivatives of these functions in order to describe translational, rotational, and roto-translational portions in the solutions containing the diatomics. We found that collective time correlation functions are well described by binary correlations at low liquid densities and, at high densities, ternary correlations become more important producing faster decaying collective time correlation functions due to partial cancellation effects. The repulsive and attractive time correlation functions exhibit a dynamic behavior that is independent on the solvation model due to linear scaling factors that only affect the absolute amplitudes of these functions. In general, the systems involving a rotational degree of freedom furnish smaller correlation times for the collective solvation dynamics, but stronger correlated two-body and three-body terms. Finally, this study shows that the solvation dynamics for the solution containing the diatomics relaxes predominatly by binary translational mechanisms when solvation models involving changes only in the polarizability parameter are considered. Binary attractive rotational mechanism become important in models with changes in the bond length.
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Books on the topic "Binary correlation"

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Kocharoen, Preecha. Binary and polyphase sequences with good correlation properties. Manchester: UMIST, 1998.

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Gmehling, Jürgen. Vapor-liquid equilibrium data collection: Tables and diagrams of data for binary and multicomponent mixtures up to moderate pressures. Constants of correlation equations for computer use. Frankfurt am Main: DECHEMA, 1991.

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Holland, Ricky R. Refractive turbulence profiles via binary source intensity scintillation correlation. 1988.

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Morawetz, Klaus. Elementary Principles. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797241.003.0002.

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The many-body theory combines ideas of thermodynamics with ideas of mechanics. In this introductory chapter, the symbiosis of these two different fields of physics is demonstrated on overly simplified models. We explore the principles of finite-range forces to show the twofold nature of virial corrections. Infrequent collisions with a large deflection angle lead to collision integrals and rather frequent encounters with deflections on small angles act as a mean field. The (mean-field) corrections to drift result in the internal pressure and the nonlocal correction to the collisions results in the effect of the molecular volumes. The concept of distribution functions is introduced and the measure of information as entropy. The binary correlation allows one to distinguish tails and cores of the interaction potential. The concept of binary correlation is thus behind the intuitive picture of the kinetic equation.
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(Editor), Jurgen Gmehling, and U. Onken (Editor), eds. Vapor-Liquid Equilibrium Data Collection: Ethers (Supplement 2) : Tables and Diagrams of Data for Binary and Multicomponent Mixtures Up to Moderate Pressures. Constants of Correlation equatio. Dechema, 1999.

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Miksza, Peter, and Kenneth Elpus. Regression. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0010.

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This chapter presents the logic and technique of analyzing data using simple linear regression and multiple linear regression. Regression is a remarkably versatile statistical procedure that can be used not only to understand whether or not variables are related to each other (as in correlation) but also for providing estimates of the direction of the relationship and of the degree to which the variables are related. Beginning with a simple bivariate case analyzing a single predictor on a single outcome, the flexibility and ability for regression to analyze increasingly complex data, including binary outcomes, is discussed. Particular attention is paid to the ability of regression to be used to estimate the effect of a predictor on an outcome while statistically “controlling” for the values of other observed variables.
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Book chapters on the topic "Binary correlation"

1

Jensen, Helge Elbrønd, and Tom Høholdt. "Binary sequences with good correlation properties." In Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, 306–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51082-6_87.

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Høholdt, Tom. "The Merit Factor of Binary Sequences." In Difference Sets, Sequences and their Correlation Properties, 227–37. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4459-9_9.

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Hertel, Doreen. "Cross-Correlation Properties of Perfect Binary Sequences." In Sequences and Their Applications - SETA 2004, 208–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11423461_14.

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Batyrshin, Ildar Z., Ivan Ramirez-Mejia, Ilnur I. Batyrshin, and Valery Solovyev. "Similarity-Based Correlation Functions for Binary Data." In Advances in Computational Intelligence, 224–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60887-3_20.

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Zhou, Ping, and Jim Austin. "A Binary Correlation Matrix Memory k-NN Classifier." In ICANN 98, 251–56. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1599-1_35.

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Li, Wentian. "Mutual Information Functions Versus Correlation Functions in Binary Sequences." In NATO ASI Series, 249–52. Boston, MA: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4757-0623-9_35.

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Mengoni, Paolo, Alfredo Milani, and Yuanxi Li. "Impact of Time Granularity on Histories Binary Correlation Analysis." In Computational Science and Its Applications – ICCSA 2019, 323–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24296-1_27.

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Nirmaladevi, R., and K. Kishan Rao. "Binary Optimal Low-Correlation Region Sequence Set Construction Method." In Lecture Notes in Networks and Systems, 425–34. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1976-3_51.

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Gómez, Ana I., Domingo Gomez-Perez, and Andrew Tirkel. "Correlation Measure of Binary Sequence Families With Trace Representation." In Arithmetic of Finite Fields, 313–19. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22944-2_20.

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Yayla, Oğuz. "Families of Pseudorandom Binary Sequences with Low Cross-Correlation Measure." In Cryptography and Information Security in the Balkans, 31–39. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21356-9_3.

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Conference papers on the topic "Binary correlation"

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Frisken, B. J., and David S. Cannell. "Dynamic and Static Light Scattering Studies of Binary Fluids in Silica Gels*." In Photon Correlation and Scattering. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/pcs.1996.thd.3.

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Studies of binary fluids in silica gels are motivated by questions related to the effect of quenched disorder on critical phenomena.1 We have been involved in a series of both light2 and neutron3 scattering studies investigating these systems.
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Cojoc, Dan, and Adrian Alexandrescu. "Optimization of computer-generated binary holograms using genetic algorithms." In International Conference on Correlation Optics, edited by Oleg V. Angelsky. SPIE, 1999. http://dx.doi.org/10.1117/12.370408.

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Qian, Kemao, Hock Soon Seah, and Asundi K. Anand. "Evaluation of binary speckle correlation." In Optical Technology and Image Processing fo rFluids and solids Diagnostics 2002, edited by Gong Xin Shen, Soyoung S. Cha, Fu-Pen Chiang, and Carolyn R. Mercer. SPIE, 2003. http://dx.doi.org/10.1117/12.509764.

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Flavin, Mary A., and Joseph L. Horner. "Correlation experiments with a binary phase-only filter." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.thp3.

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Computer simulations of optical correlations have shown that binary phase-only filters (BPOF) produce large narrow correlation peaks with good target discriminations, high optical efficiency, and virtually no sidelobes. A 256- × 256-element BPOF was fabricated in etched quartz from the binarized phase of the Fourier transform of an input image. The filter was fabricated by reactive ion etching techniques in a VLSI foundry. Initial experimental results produced an intense narrow correlation peak 6.2 times higher than the secondary peak with the full width at half-maximum corresponding to three pixels. Additional experimental data are presented and compared to computer simulations.
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Waltz, Frederick M. "Application of SKIPSM to binary correlation." In Photonics East '95, edited by Bruce G. Batchelor, Susan S. Solomon, and Frederick M. Waltz. SPIE, 1995. http://dx.doi.org/10.1117/12.223967.

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Marom, Emanuel, David Mendlovic, Amir Shemer, and Gal Shabtay. "Modified morphological correlation via binary representation." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Bahram Javidi and Demetri Psaltis. SPIE, 1998. http://dx.doi.org/10.1117/12.326771.

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Carbillet, Marcel, Eric Aristidi, Gilbert Ricort, and Claude Aime. "Probability imaging of binary stars from infrared speckle observations." In International Conference on Holography and Correlation Optics, edited by Oleg V. Angelsky. SPIE, 1995. http://dx.doi.org/10.1117/12.226728.

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Javidi, B., J. Wang, and Q. Tang. "Nonlinear correlation of two images based on their Fourier phases using binary joint transform correlation." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.wd4.

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The correlation performance of the binary joint transform correlator (JTC) is dependent on the threshold that is used to binarize the joint power spectrum in the Fourier plane.1 One type of threshold function is the sum of the power spectrum of the reference signal and the power spectrum of the input scene.1 Applying this threshold function in the binary JTC removes the Fourier magnitudes of both the reference signal and the input image. In other words, the Fourier magnitudes of the input signal and the reference signal are set to unity. It results in a nonlinear correlation between two images based on their Fourier phases only. This nonlinear correlator is different from the phase-only filter technique in which only the Fourier magnitude of the reference signal is set to unity. The thresholding function provides an optimal correlation performance by maximizing the autocorrelation peak intensity and eliminating the even-order harmonic terms in the output plane. Computer simulation and experiment results will be presented to illustrate the optimal correlation performance of the binary JTC using the thresholding function. Several different thresholding methods are also described and compared in the presentation.
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Lu, Jianyi, and T. William Lin. "Adaptive pattern recognition for binary images." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.thx4.

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It is understood that the correlation process between similar patterns generally introduces ambiguity in decision making. This problem is much more profound in the binary pattern recognition process. For example, the cross-correlation between letters E and F exhibits the same main peak intensity as that in the autocorrelation of letter F. Many attempts have been made to overcome this difficulty, including the recognition technique based on a comparison of pattern’s perimeters, and the recognition of patterns in moment spaces or feature spaces. However, the phenomenon that causes the ambiguity can be converted and utilized as a feedback parameter when an adaptive process scheme is chosen in pattern recognition. In this paper, the relationship between pattern shapes and correlation results is analyzed first, followed by a proposed hybrid optical-electronic adaptive joint transform correlator. The adaptive capability of the system is achieved through interfacing between an optical correlator and a computer. The intensity distribution of correlation peaks detected in the optical correlator serves as a feedback to update reference images in the input plane of the correlator, so that an optimal decision can be made for the recognition process through adaptive iterations. In the iteration process, the saturating phenomenon in the intensity of correlation peaks is used as a guideline in designing a proper feedback scheme. Several uses in binary pattern recognition are demonstrated with results obtained from computer simulations as well as experimentally.
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Lin, T. W., Jianyi Lu, Jian Lin, and Don A. Gregory. "Adaptive learning of binary patterns by using correlation processes." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.tud4.

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A learning process is essential in constructing synthetic reference patterns for pattern recognition. A knowledge base is generally built up or updated through correlating adaptively changed reference patterns with a given standard. The optical correlator provides an alternative in the learning process. Compared to learning by a pure digital process, an optical approach substantially reduces the necessary learning time through high speed Fourier transforms and parallel processing. In this paper, we present an adaptive learning process for binary patterns using optical correlators. A direct search algorithm is employed in the learning process to ensure that an optimum pattern can be reached. The variation of correlation peaks obtained from a given input object and adaptively changed reference patterns are used to determine an optimum synthetic reference pattern. The approach is verified by the results obtained from a full range of computer simulations. The ability of the presented algorithm for tolerating noise is also demonstrated.
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Reports on the topic "Binary correlation"

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Lu, John Q. On The Linear Span of A Binary Sequence Family with Optimal Correlation Properties. Fort Belvoir, VA: Defense Technical Information Center, November 2009. http://dx.doi.org/10.21236/ada520449.

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Shen, Yunxue. Length Scale Correlations of Cellular Microstructures in Directionally Solidified Binary System. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/804167.

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Shen, Yunxue. Length Scale Correlations of Cellular Microstructures in Directionally Solidified Binary System. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/797636.

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Ardell, Alan J. Evolution of Ni3X Precipitation Kinetics, Morphology and Spatial Correlations in Binary Ni-X Alloys Aged Under Externally Applied Stress. Office of Scientific and Technical Information (OSTI), February 2006. http://dx.doi.org/10.2172/875895.

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