Relevant bibliographies by topics / Cross-correlation analysis

Academic literature on the topic 'Cross-correlation analysis'

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Published: 4 June 2021
Last updated: 5 May 2022

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Journal articles on the topic "Cross-correlation analysis"

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NAKAJIMA, Yoshio, and Saburo HOMMA. "Cross-correlation analysis of neuronal activities." Japanese Journal of Physiology 37, no. 6 (1987): 967–77. http://dx.doi.org/10.2170/jjphysiol.37.967.

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Zu, Chen, and Daoqiang Zhang. "Canonical sparse cross-view correlation analysis." Neurocomputing 191 (May 2016): 263–72. http://dx.doi.org/10.1016/j.neucom.2016.01.053.

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Hohreiter, V., S. T. Wereley, M. G. Olsen, and J. N. Chung. "Cross-correlation analysis for temperature measurement." Measurement Science and Technology 13, no. 7 (June 20, 2002): 1072–78. http://dx.doi.org/10.1088/0957-0233/13/7/314.

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Wang, Jun, and Da-Qing Zhao. "Detrended cross-correlation analysis of electroencephalogram." Chinese Physics B 21, no. 2 (February 2012): 028703. http://dx.doi.org/10.1088/1674-1056/21/2/028703.

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Xi, Caiping, Shuning Zhang, Gang Xiong, Huichang Zhao, and Yonghong Yang. "Two-dimensional multifractal cross-correlation analysis." Chaos, Solitons & Fractals 96 (March 2017): 59–69. http://dx.doi.org/10.1016/j.chaos.2017.01.004.

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Zucker, S. "Cross-correlation and maximum-likelihood analysis: a new approach to combining cross-correlation functions." Monthly Notices of the Royal Astronomical Society 342, no. 4 (July 11, 2003): 1291–98. http://dx.doi.org/10.1046/j.1365-8711.2003.06633.x.

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Alloway, K. D., and S. A. Roy. "Conditional cross-correlation analysis of thalamocortical neurotransmission." Behavioural Brain Research 135, no. 1-2 (September 2002): 191–96. http://dx.doi.org/10.1016/s0166-4328(02)00165-1.

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Beck, S. B. M., N. J. Williamson, N. D. Sims, and R. Stanway. "Pipeline system identification through cross-correlation analysis." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 216, no. 3 (August 1, 2002): 133–42. http://dx.doi.org/10.1243/095440802320225275.

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The pipeline systems used to carry liquids and gases for the ventilation of buildings, water distributions networks, and the oil and chemical industries are usually monitored by a multiplicity of pressure, flow, and valve position sensors. By comparing the input signal to a valve with the pressure reading from the network using cross-correlation analysis, the technique described in this paper enables a single sensor to be used for monitoring. Specifically, the offset and gradient change of the cross-correlation function show the time delay between the input wave and the acquired output signal. These reflections arise from junctions, valves, and terminations, which can be located effectively using the cross-correlation technique. Investigations using a T-shaped pipe network have been conducted with a valve inserted in the pipeline to introduce artificial water hammer-type perturbations into the system. Both computational and experimental data are presented and the results are compared with the actual pipe network geometry. It is shown that it is possible to identify the location of various features of the network from the reflections and thus to perform either system characterisation or condition monitoring.
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Munshi, Dipak, Alan Heavens, Asantha Cooray, and Patrick Valageas. "Secondary non-Gaussianity and cross-correlation analysis." Monthly Notices of the Royal Astronomical Society 414, no. 4 (June 2, 2011): 3173–97. http://dx.doi.org/10.1111/j.1365-2966.2011.18616.x.

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Clarke, Burton R., and Ryan P. Allgaier. "Cross correlation diagnostics tool for vibration analysis." Journal of the Acoustical Society of America 122, no. 5 (2007): 2509. http://dx.doi.org/10.1121/1.2801817.

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Dissertations / Theses on the topic "Cross-correlation analysis"

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Hotchkiss, Alastair Jeremy. "Generalised cross correlation functions for physical applications." Thesis, University of Exeter, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262492.

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Yamaguchi, David K. "Interpretation of Cross Correlation Between Tree-Ring Series." Tree-Ring Society, 1986. http://hdl.handle.net/10150/261724.

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Kacher, Josh. "Cross-correlation-based texture analysis using kinematically simulated EBSD patterns /." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2994.pdf.

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Kacher, Joshua Peter. "Cross-Correlation-Based Texture Analysis Using Kinematically Simulated EBSD Patterns." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1746.

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The development and example applications of a new EBSD-based texture analysis system are presented. This new system uses the cross-correlation function to compare two EBSD patterns at a number of corresponding regions in each pattern to calculate the deformation gradient tensor. Bragg's Law-based simulated EBSD patterns are used as reference patterns in the cross-correlation method to enable the measurements of absolute elastic strain and lattice orientation at discrete points in a crystalline sample. The resolution limits of this new method are explored using a variety of computational and physical experiments. The simulated pattern method is estimated to be able to measure lattice orientations to within +/-0.02° and elastic strains to within +/-3.6x10-4 for small strains and +/-1x10-3 for large strains. Two example applications are demonstrated. The first demonstration is estimating the dislocation density in a 5.5% compressed Mg-based AZ91 alloy. Nye's and Kröner's formulations are used to estimate the dislocation density. Comparisons are made with traditional OIM measurements and it is found that the simulated pattern method offers an order of magnitude improvement in dislocation density estimations over OIM. The second demonstration is tetragonality measurements of HSLA 65 steel along the weld line of a friction stir welded plate. Accurate tetragonality measurements in the bainite phase of the steel can be made using information from the diagonal components of the elastic strain tensor. The measured tetragonality can be related to the concentration of interstitial carbon atoms in the iron lattice to find the carbon distribution in the sample. From these experiments, it is demonstrated that the simulated pattern method presents a new and powerful methodology for texture analysis that exhibits both ease of use and access to high resolution orientation and elastic strain data.
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Scott, Virginia Anne. "Exercise and depression causal sequence using cross-lagged panel correlation analysis /." College Park, Md. : University of Maryland, 2009. http://hdl.handle.net/1903/9982.

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Thesis (M.A.) -- University of Maryland, College Park, 2009.
Thesis research directed by: Dept. of Kinesiology. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Gilbert, Ross. "Evaluation of FFT Based Cross-Correlation Algorithms for Particle Image Velocimetry." Thesis, University of Waterloo, 2002. http://hdl.handle.net/10012/911.

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In the current study, the four most common Particle Image Velocimetry (PIV) cross-correlation algorithms were evaluated by measuring the displacement of particles in computer generated images. The synthetic images were employed to compare the methods since the particle diameter, density, and intensity could be controlled, removing some of the uncertainty found in images collected during experiments, e. g. parallax, 3-D motion, etc. The most important parameter that was controlled in the synthetic images was the particle motion. Six different displacement functions were applied to move the particles between images: uniform translation, step, sawtooth, sinusoid, line source and line vortex. The four algorithms, which all use the fast Fourier transform (FFT) to perform the cross-correlation, were evaluated with four criteria; (1) spatial resolution, (2) dynamic range, (3) accuracy and (4) robustness. The uniform translation images determined the least error possible with each method, of which the deformed FFT proved to be the most accurate. The super resolution FFT and deformed FFT methods could not properly measure the infinite displacement gradient in the step images due to the interpolation of the displacement vector field used by each method around the step. However, the predictor corrector FFT scheme, which does not require interpolation when determining the interrogation area offset, successfully measured the infinite displacement gradient in the step images. The smaller interrogation areas used by the super resolution FFT scheme proved to be the best method to capture the high frequency finite displacement gradients in the sawtooth and sinusoid images. Also shown in the sawtooth and sinusoid images is the positional bias error introduced by assuming the measured particle displacement occurs at the centre of the interrogation area. The deformed FFT method produced the most accurate results for the source and vortex images, which both contained displacement gradients in multiple directions. Experimentally obtained images were also evaluated to verify the results derived using the synthetic images. The flow in a multiple grooved channel, using both water and air as the fluid medium in separate experiments, was measured and compared to DNS simulations reported by Yang. The mean velocity, average vorticity and turbulent fluctuations determined from both experiments using the deformed FFT method compared very well to the DNS calculations.
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Vuran, Mehmet Can. "Correlation-based Cross-layer Communication in Wireless Sensor Networks." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16135.

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Wireless sensor networks (WSN) are event based systems that rely on the collective effort of densely deployed sensor nodes continuously observing a physical phenomenon. The spatio-temporal correlation between the sensor observations and the cross-layer design advantages are significant and unique to the design of WSN. Due to the high density in the network topology, sensor observations are highly correlated in the space domain. Furthermore, the nature of the energy-radiating physical phenomenon constitutes the temporal correlation between each consecutive observation of a sensor node. This unique characteristic of WSN can be exploited through a cross-layer design of communication functionalities to improve energy efficiency of the network. In this thesis, several key elements are investigated to capture and exploit the correlation in the WSN for the realization of advanced efficient communication protocols. A theoretical framework is developed to capture the spatial and temporal correlations in WSN and to enable the development of efficient communication protocols. Based on this framework, spatial Correlation-based Collaborative Medium Access Control (CC-MAC) protocol is described, which exploits the spatial correlation in the WSN in order to achieve efficient medium access. Furthermore, the cross-layer module (XLM), which melts common protocol layer functionalities into a cross-layer module for resource-constrained sensor nodes, is developed. The cross-layer analysis of error control in WSN is then presented to enable a comprehensive comparison of error control schemes for WSN. Finally, the cross-layer packet size optimization framework is described.
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Lebel, Cynthia. "Optical Brain Imaging of Motor Cortex to Decode Movement Direction using Cross-Correlation Analysis." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1609111/.

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The goal of this study is to determine the intentional movement direction based on the neural signals recorded from the motor cortex using optical brain imaging techniques. Towards this goal, we developed a cross-correlation analysis technique to determine the movement direction from the hemodynamic signals recorded from the motor cortex. Healthy human subjects were asked to perform a two-dimensional hand movement in two orthogonal directions while the hemodynamic signals were recorded from the motor cortex simultaneously with the movements. The movement directions were correlated with the hemodynamic signals to establish the cross-correlation patterns of firings among these neurons. Based on the specific cross-correlation patterns with respect to the different movement directions, we can distinguish the different intentional movement directions between front-back and right-left movements. This is based on the hypothesis that different movement directions can be determined by different cooperative firings among various groups of neurons. By identifying the different correlation patterns of brain activities with each group of neurons for each movement, we can decode the specific movement direction based on the hemodynamic signals. By developing such a computational method to decode movement direction, it can be used to control the direction of a wheelchair for paralyzed patients based on the changes in hemodynamic signals recorded using non-invasive optical imaging techniques.
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Miller, Carlton W. "Optimization of model analysis and cross-orthogonality techniques to insure finite element model correlation to test data /." Online version of thesis, 1993. http://hdl.handle.net/1850/12216.

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Kirk, D., Y. Omori, A. Benoit-Lévy, R. Cawthon, C. Chang, P. Larsen, A. Amara, et al. "Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing." OXFORD UNIV PRESS, 2016. http://hdl.handle.net/10150/614994.

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We measure the cross-correlation between weak lensing of galaxy images and of the cosmic microwave background (CMB). The effects of gravitational lensing on different sources will be correlated if the lensing is caused by the same mass fluctuations. We use galaxy shape measurements from 139 deg(2) of the Dark Energy Survey (DES) Science Verification data and overlapping CMB lensing from the South Pole Telescope (SPT) and Planck. The DES source galaxies have a median redshift of z(med) similar to 0.7, while the CMB lensing kernel is broad and peaks at z similar to 2. The resulting cross-correlation is maximally sensitive to mass fluctuations at z similar to 0.44. Assuming the Planck 2015 best-fitting cosmology, the amplitude of the DESxSPT cross-power is found to be A(SPT) = 0.88 +/- 0.30 and that from DESxPlanck to be A(Planck) = 0.86 +/- 0.39, where A = 1 corresponds to the theoretical prediction. These are consistent with the expected signal and correspond to significances of 2.9 sigma and 2.2 sigma, respectively. We demonstrate that our results are robust to a number of important systematic effects including the shear measurement method, estimator choice, photo-z uncertainty and CMB lensing systematics. We calculate a value of A = 1.08 +/- 0.36 for DESxSPT when we correct the observations with a simple intrinsic alignment model. With three measurements of this cross-correlation now existing in the literature, there is not yet reliable evidence for any deviation from the expected LCDM level of cross-correlation. We provide forecasts for the expected signal-to-noise ratio of the combination of the five-year DES survey and SPT-3G.
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Books on the topic "Cross-correlation analysis"

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Pakko, Michael R. A spectral analysis of the cross-country consumption correlation puzzle. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2003.

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Bulach, Marcia Woolf. Canonical Auto And Cross Correlations Of Multivariate Time Series. USA: Dissertation.com, 1999.

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King, Wayne M. Multitaper spectral estimation and time-domain cross-correlation in FMRI data analysis: Actual and simulated data. 1999.

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Rahat, Gideon, and Ofer Kenig. A Cross-National Analysis of Political Personalization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808008.003.0009.

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The chapter presents an integrated cross-national analysis of political personalization in all our twenty-six countries. The two indicators of personalization online stand apart in terms of the incidents of depersonalization. An examination of the relationship between the three dimensions finds personalization especially in the institutional realm. In the other two dimensions, media and behavior, most cases are of personalization, but many indicate no trend or depersonalization. A comparison by country illustrates that, except for the cases of extreme personalization in Italy and Israel and a few cases of depersonalization, especially in Switzerland, most countries experience moderate–low or low levels of personalization. Most explanations for variance are ruled out. A moderately negative correlation is found between national levels of self-expression and national levels of political personalization. The chapter ends with a review of the claims raised in the literature about the consequences of political personalization.
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Tran, Thanh V., Tam Nguyen, and Keith Chan. Assessing and Testing Cross-Cultural Measurement Equivalence. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780190496470.003.0004.

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A cross-cultural comparison can be misleading for two reasons: (1) comparison is made using different attributes and (2) comparison is made using different scale units. This chapter illustrates multiple statistical approaches to evaluating the cross-cultural equivalence of the research instruments: data distribution of the items of the research instrument, the patterns of responses of each item, the corrected item–total correlation, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis using the parallel test and tau-equivalence test. Equivalence is the fundamental issue in cross-cultural research and evaluation.
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Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R in research projects. Specifically, it teaches students how to import, inspect, and manage data; understand the logic of statistical inference; visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots; and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. Third, it teaches students how to replicate the findings in published journal articles and diagnose model assumption violations. The principle behind this book is to teach students to learn as little R as possible but to do as much reproducible, substance-driven data analysis at the beginner or intermediate level as possible. The minimalist approach dramatically reduces the learning cost but still proves adequate information for meeting the practical research needs of senior undergraduate and beginning graduate students. Having completed this book, students can use R and statistical analysis to answer questions regarding some substantively interesting continuous outcome variable in a cross-sectional design.
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United States. National Aeronautics and Space Administration., ed. Reduction and analysis of seasons 15 and 16 (1991-1992), Pioneer Venus radio occultation data and correlative studies with observations of the near infra-red emission of Venus: Report to the National Aeronautics and Space Administration, Ames Research Center for grant NCC2-753, April 1, 1992 through May 31, 1995. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Halperin, Sandra, and Oliver Heath. 16. Patterns of Association. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0016.

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This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particular emphasis on hypothesis testing and significance tests. It discusses ordinary least squares (OLS) regression and cross-tabulation, two of the most widely used statistical analysis techniques in political research. Finally, it explains how to state the null hypothesis, calculate the chi square, and establishing the correlation between the dependent and independent variables.
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Rahat, Gideon, and Ofer Kenig. Party Change and Political Personalization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808008.003.0011.

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The chapter presents an empirical cross-national analysis of the relationship between the two processes of party change and political personalization. It demonstrates that there is indeed a moderate negative correlation between partyness and personalization when we focus on what happens off-line in the more veteran democracies. It also explains why, in some cases, partyness and personalization will not be in zero-sum relationships. It then turns to the question of the causal direction of this relationship: does party decline cause personalization, or is it the other way round? While it makes sense that the two should interact, our argument is that decline in partyness occurred first and was in fact one of the causes of personalization.
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Pitt, Matthew. Techniques used to test the neuromuscular junction in children. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754596.003.0009.

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The tests used to measure the neuromuscular junction function in children are repetitive nerve stimulation (RNS) and single-fibre electromyography (SFEMG). The physiological changes which explain abnormalities in RNS are covered in this chapter as are those affecting jitter measurement when measured by SFEMG. Practical considerations of how to perform RNS in children are discussed, along with the reasons for using SFEMG in preference to RNS and the need to use stimulation techniques. Controversies concerning so-called stimulated SFEMG including needle selection, filter settings, and the origin of the potentials that are being sampled are all discussed. The term stimulated potential analysis using concentric needle electrodes (SPACE) is introduced to divert most if not all of these criticisms. Derivation of normative data from previous studies is described as well as the use of e-norm methodology on laboratory data. The chapter concludes with practical measures of how to analyse the data collected and reference is made to the cross-correlation technique for determining abnormalities.
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Book chapters on the topic "Cross-correlation analysis"

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Schwille, Petra. "Cross-correlation analysis in FCS." In Springer Series in Chemical Physics, 360–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59542-4_17.

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Liu, Yingxiang, Xiaomei Tang, Rui Ge, and Feixue Wang. "Analysis for Cross Correlation in Multiplexing." In Lecture Notes in Electrical Engineering, 81–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37404-3_8.

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Sánchez, Ricardo M., Rudolf Mester, and Mikhail Kudryashev. "Fast Cross Correlation for Limited Angle Tomographic Data." In Image Analysis, 415–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20205-7_34.

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Cao, Guangxi, Ling-Yun He, and Jie Cao. "Asymmetric DCCA Cross-Correlation Coefficient." In Multifractal Detrended Analysis Method and Its Application in Financial Markets, 129–53. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7916-0_7.

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Cao, Guangxi, Ling-Yun He, and Jie Cao. "Multifractal Detrended Cross-Correlation Analysis (MF-DCCA)." In Multifractal Detrended Analysis Method and Its Application in Financial Markets, 49–78. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7916-0_4.

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Xing, Shanshan, Bin Wang, Xiaopeng Wei, Changjun Zhou, Qiang Zhang, and Zhonglong Zheng. "RNA Sequences Similarities Analysis by Cross-Correlation Function." In Communications in Computer and Information Science, 83–94. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2829-9_9.

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Keane, Richard D., and Ronald J. Adrian. "Theory of cross-correlation analysis of PIV images." In Fluid Mechanics and Its Applications, 1–25. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2690-8_1.

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Braasch, Jonas. "Convolution, Fourier Analysis, Cross-Correlation and Their Interrelationship." In Springer Handbook of Systematic Musicology, 273–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55004-5_14.

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Xia, X. Y., Z. G. Deng, and Y. Z. Liu. "Cross-Correlation Analysis of Galaxies with Different Luminosity." In Large Scale Structures of the Universe, 554. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2995-1_108.

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Cao, Guangxi, Ling-Yun He, and Jie Cao. "Asymmetric Multifractal Detrended Cross-Correlation Analysis (MF-ADCCA)." In Multifractal Detrended Analysis Method and Its Application in Financial Markets, 113–27. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7916-0_6.

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Conference papers on the topic "Cross-correlation analysis"

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Song Yan, Lingjiang Kong, Xiaobo Yang, and Yongshun Zhou. "Life detection based on cross-correlation analysis." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159807.

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Blake, A. "A Bayesian theory of multi-scale cross-correlation in images." In IEE Colloquium on Motion Analysis and Tracking. IEE, 1999. http://dx.doi.org/10.1049/ic:19990571.

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Louis Ferdinand Boesday and Yoyon K. Suprapto. "Polyphonic signal analysis using Cross-correlation on sasando." In 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME). IEEE, 2015. http://dx.doi.org/10.1109/icici-bme.2015.7401340.

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"Cross-correlation Network Analysis Work in Stock Market." In 2018 5th International Conference on Electrical & Electronics Engineering and Computer Science. Francis Academic Press, 2018. http://dx.doi.org/10.25236/iceeecs.2018.037.

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Cheng, Chih-Ming, Yu-Fen Chang, and Chien-ming Wu. "Cross-correlation analysis for live-cell image trajectory." In ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, edited by Min Gu, Xiaocong Yuan, and Min Qiu. SPIE, 2013. http://dx.doi.org/10.1117/12.2034840.

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Halabi, R., M. O. Diab, B. Moslem, M. Khalil, and C. Marque. "Cross-correlation analysis of multichannel uterine EMG signals." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346621.

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Phillips, Peter, and Ickjai Lee. "Multivarite Areal Aggregated Crime Analysis through Cross Correlation." In 2008 International Workshop on Geoscience and Remote Sensing (ETT and GRS). IEEE, 2008. http://dx.doi.org/10.1109/ettandgrs.2008.210.

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Sun, Jingliang, and Huanye Sheng. "Multifractal Detrended Cross-Correlation Analysis of Chinese Stocks." In 2010 3rd International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2010. http://dx.doi.org/10.1109/bife.2010.77.

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Ma, Ding, Xiaohua Zhai, and Yuxin Peng. "Cross-media retrieval by cluster-based correlation analysis." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738821.

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Baseer, Irum, and Rabeea Basir. "Cross gender voice morphing using Canonical Correlation Analysis." In 2017 International Conference on Communication, Computing and Digital Systems (C-CODE). IEEE, 2017. http://dx.doi.org/10.1109/c-code.2017.7918947.

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Reports on the topic "Cross-correlation analysis"

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Pakko, Michael R. A Spectral Analysis of the Cross-Country Consumption Correlation Puzzle. Federal Reserve Bank of St. Louis, 2003. http://dx.doi.org/10.20955/wp.2003.023.

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Hessler, J. P., and P. J. Ogren. Correlation analysis of optical absorption cross section and rate coefficient measurements in reacting systems. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/10159230.

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3

French, Roger, Jennifer L. Braid, and JiQi Liu. Module Level Exposure and Evaluation Test (MLEET) for Real- world and Laboratory-based PV Modules: Common Data and Analytics for Quantitative Cross-correlation and Validation. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1529093.

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Upadhyaya, Shrini K., Abraham Shaviv, Abraham Katzir, Itzhak Shmulevich, and David S. Slaughter. Development of A Real-Time, In-Situ Nitrate Sensor. United States Department of Agriculture, March 2002. http://dx.doi.org/10.32747/2002.7586537.bard.

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Although nitrate fertilizers are critical for enhancing crop production, excess application of nitrate fertilizer can result in ground water contamination leading to the so called "nitrate problem". Health and environmental problems related to this "nitrate problem" have led to serious concerns in many parts of the world including the United States and Israel. These concerns have resulted in legislation limiting the amount of nitrate N in drinking water to 10mg/g. Development of a fast, reliable, nitrate sensor for in-situ application can be extremely useful in dynamic monitoring of environmentally sensitive locations and applying site-specific amounts of nitrate fertilizer in a precision farming system. The long range objective of this study is to develop a fast, reliable, real-time nitrate sensor. The specific objective of this one year feasibility study was to explore the possible use of nitrate sensor based on mid-IR spectroscopy developed at UCD along with the silver halide fiber ATR (i.e. attenuated total internal reflection) sensor developed at TAU to detect nitrate content in solution and soil paste in the presence of interfering compounds. Experiments conducted at Technion and UCD clearly demonstrate the feasibility of detecting nitrate content in solutions as well as soil pastes using mid-IR spectroscopy and an ATR technique. When interfering compounds such as carbonates, bicarbonates, organic matter etc. are present special data analysis technique such as singular value decomposition (SYD) or cross correlation was necessary to detect nitrate concentrations successfully. Experiments conducted in Israel show that silver halide ATR fiber based FEWS, particularly flat FEWS, resulted in low standard error and high coefficient of determination (i.e. R² values) indicating the potential of the flat Fiberoptic Evanescent Wave Spectroscopy (FEWS) for direct determinations of nitrate. Moreover, they found that it was possible to detect nitrate and other anion concentrations using anion exchange membranes and M1R spectroscopy. The combination of the ion-exchange membranes with fiberoptices offers one more option to direct determination of nitrate in environmental systems.
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Lers, Amnon, Majid R. Foolad, and Haya Friedman. genetic basis for postharvest chilling tolerance in tomato fruit. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7600014.bard.

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ABSTRACT Postharvest losses of fresh produce are estimated globally to be around 30%. Reducing these losses is considered a major solution to ensure global food security. Storage at low temperatures is an efficient practice to prolong postharvest performance of crops with minimal negative impact on produce quality or human health and the environment. However, many fresh produce commodities are susceptible to chilling temperatures, and the application of cold storage is limited as it would cause physiological chilling injury (CI) leading to reduced produce quality. Further, the primary CI becomes a preferred site for pathogens leading to decay and massive produce losses. Thus, chilling sensitive crops should be stored at higher minimal temperatures, which curtails their marketing life and in some cases necessitates the use of other storage strategies. Development of new knowledge about the biological basis for chilling tolerance in fruits and vegetables should allow development of both new varieties more tolerant to cold, and more efficient postharvest storage treatments and storage conditions. In order to improve the agricultural performance of modern crop varieties, including tomato, there is great potential in introgression of marker-defined genomic regions from wild species onto the background of elite breeding lines. To exploit this potential for improving tomato fruit chilling tolerance during postharvest storage, we have used in this research a recombinant inbred line (RIL) population derived from a cross between the red-fruited tomato wild species SolanumpimpinellifoliumL. accession LA2093 and an advanced Solanum lycopersicumL. tomato breeding line NCEBR-1, developed in the laboratory of the US co-PI. The original specific objectives were: 1) Screening of RIL population resulting from the cross NCEBR1 X LA2093 for fruit chilling response during postharvest storage and estimation of its heritability; 2) Perform a transcriptopmic and bioinformatics analysis for the two parental lines following exposure to chilling storage. During the course of the project, we learned that we could measure greater differences in chilling responses among specific RILs compared to that observed between the two parental lines, and thus we decided not to perform transcriptomic analysis and instead invest our efforts more on characterization of the RILs. Performing the transcriptomic analysis for several RILs, which significantly differ in their chilling tolerance/sensitivity, at a later stage could result with more significant insights. The RIL population, (172 lines), was used in field experiment in which fruits were examined for chilling sensitivity by determining CI severity. Following the field experiments, including 4 harvest days and CI measurements, two extreme tails of the response distribution, each consisting of 11 RILs exhibiting either high sensitivity or tolerance to chilling stress, were identified and were further examined for chilling response in greenhouse experiments. Across the RILs, we found significant (P < 0.01) correlation between field and greenhouse grown plants in fruit CI. Two groups of 5 RILs, whose fruits exhibited reproducible chilling tolerant/sensitive phenotypes in both field and greenhouse experiments, were selected for further analyses. Numerous genetic, physiological, biochemical and molecular variations were investigated in response to postharvest chilling stress in the selected RILs. We confirmed the differential response of the parental lines of the RIL population to chilling stress, and examined the extent of variation in the RIL population in response to chilling treatment. We determined parameters which would be useful for further characterization of chilling response in the RIL population. These included chlorophyll fluorescence Fv/Fm, water loss, total non-enzymatic potential of antioxidant activity, ascorbate and proline content, and expression of LeCBF1 gene, known to be associated with cold acclimation. These parameters could be used in continuation studies for the identification and genetic mapping of loci contributing to chilling tolerance in this population, and identifying genetic markers associated with chilling tolerance in tomato. Once genetic markers associated with chilling tolerance are identified, the trait could be transferred to different genetic background via marker-assisted selection (MAS) and breeding. The collaborative research established in this program has resulted in new information and insights in this area of research and the collaboration will be continued to obtain further insights into the genetic, molecular biology and physiology of postharvest chilling tolerance in tomato fruit. The US Co-PI, developed the RIL population that was used for screening and measurement of the relevant chilling stress responses and conducted statistical analyses of the data. Because we were not able to grow the RIL population under field conditions in two successive generations, we could not estimate heritability of response to chilling temperatures. However, we plan to continue the research, grow the RIL progeny in the field again, and determine heritability of chilling tolerance in a near future. The IS and US investigators interacted regularly and plan to continue and expand on this study, since combing the expertise of the Co-PI in genetics and breeding with that of the PI in postharvest physiology and molecular biology will have great impact on this line of research, given the significant findings of this one-year feasibility project.
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6

Lacerda Silva, P., G. R. Chalmers, A. M. M. Bustin, and R. M. Bustin. Gas geochemistry and the origins of H2S in the Montney Formation. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329794.

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The geology of the Montney Formation and the geochemistry of its produced fluids, including nonhydrocarbon gases such as hydrogen sulfide were investigated for both Alberta and BC play areas. Key parameters for understanding a complex petroleum system like the Montney play include changes in thickness, depth of burial, mass balance calculations, timing and magnitudes of paleotemperature exposure, as well as kerogen concentration and types to determine the distribution of hydrocarbon composition, H2S concentrations and CO2 concentrations. Results show that there is first-, second- and third- order variations in the maturation patterns that impact the hydrocarbon composition. Isomer ratio calculations for butane and propane, in combination with excess methane estimation from produced fluids, are powerful tools to highlight effects of migration in the hydrocarbon distribution. The present-day distribution of hydrocarbons is a result of fluid mixing between hydrocarbons generated in-situ with shorter-chained hydrocarbons (i.e., methane) migrated from deeper, more mature areas proximal to the deformation front, along structural elements like the Fort St. John Graben, as well as through areas of lithology with higher permeability. The BC Montney play appears to have hydrocarbon composition that reflects a larger contribution from in-situ generation, while the Montney play in Alberta has a higher proportion of its hydrocarbon volumes from migrated hydrocarbons. Hydrogen sulphide is observed to be laterally discontinuous and found in discrete zones or pockets. The locations of higher concentrations of hydrogen sulphide do not align with the sulphate-rich facies of the Charlie Lake Formation but can be seen to underlie areas of higher sulphate ion concentrations in the formation water. There is some alignment between CO2 and H2S, particularly south of Dawson Creek; however, the cross-plot of CO2 and H2S illustrates some deviation away from any correlation and there must be other processes at play (i.e., decomposition of kerogen or carbonate dissolution). The sources of sulphur in the produced H2S were investigated through isotopic analyses coupled with scanning electron microscopy, energy dispersive spectroscopy, and mineralogy by X-ray diffraction. The Montney Formation in BC can contain small discrete amounts of sulphur in the form of anhydrite as shown by XRD and SEM-EDX results. Sulphur isotopic analyses indicate that the most likely source of sulphur is from Triassic rocks, in particular, the Charlie Lake Formation, due to its close proximity, its high concentration of anhydrite (18-42%), and the evidence that dissolved sulphate ions migrated within the groundwater in fractures and transported anhydrite into the Halfway Formation and into the Montney Formation. The isotopic signature shows the sulphur isotopic ratio of the anhydrite in the Montney Formation is in the same range as the sulphur within the H2S gas and is a lighter ratio than what is found in Devonian anhydrite and H2S gas. This integrated study contributes to a better understanding of the hydrocarbon system for enhancing the efficiency of and optimizing the planning of drilling and production operations. Operators in BC should include mapping of the Charlie Lake evaporites and structural elements, three-dimensional seismic and sulphate ion concentrations in the connate water, when planning wells, in order to reduce the risk of encountering unexpected souring.
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