Academic literature on the topic 'Dispersion parameters'
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Journal articles on the topic "Dispersion parameters"
Abdullah, Rasha A., Nada M. Saeed, Hussain Kh. Al Khalid, and Mohammed A. Razooqi. "Dispersion Parameters of Thin Cadmium Telluride Films at Different Thicknesses." International Journal of Scientific Research 2, no. 3 (June 1, 2012): 368–70. http://dx.doi.org/10.15373/22778179/mar2013/120.
Full textPinker, R. T., and J. Z. Holland. "Dispersion Parameters over Forested Terrain." Journal of Applied Meteorology 27, no. 11 (November 1988): 1198–217. http://dx.doi.org/10.1175/1520-0450(1988)027<1198:dpoft>2.0.co;2.
Full textQin, Xilin, Zhixian Gui, Fei Yang, and Yuanyuan Liu. "Anisotropic frequency-dependent characteristics of PP- and PS-waves in partially saturated double-porosity rocks." Journal of Geophysics and Engineering 18, no. 3 (June 2021): 355–68. http://dx.doi.org/10.1093/jge/gxab019.
Full textXu, Zheng, Yan Xue, and Zhihao Huang. "Dependence of Dispersion on Metamaterial Structural Parameters and Dispersion Management." Applied Sciences 8, no. 7 (June 28, 2018): 1057. http://dx.doi.org/10.3390/app8071057.
Full textAlbornoz-Palma, Gregory, Daniel Ching, Andrea Andrade, Sergio Henríquez-Gallegos, Regis Teixeira Mendonça, and Miguel Pereira. "Relationships between Size Distribution, Morphological Characteristics, and Viscosity of Cellulose Nanofibril Dispersions." Polymers 14, no. 18 (September 14, 2022): 3843. http://dx.doi.org/10.3390/polym14183843.
Full textKOBAYASHI, Toshikatsu. "Interface Scientific Parameters for Pigment Dispersion." Journal of the Japan Society of Colour Material 78, no. 2 (2005): 64–71. http://dx.doi.org/10.4011/shikizai1937.78.64.
Full textMohamed El-Sayed, Ahmed Mohamed. "A New Approach for Dispersion Parameters." Journal of Applied Mathematics and Physics 04, no. 08 (2016): 1554–66. http://dx.doi.org/10.4236/jamp.2016.48165.
Full textKolosko, Anatoly G., Eugeni O. Popov, Sergey V. Filippov, and Pavel A. Romanov. "Statistical dispersion of nanocomposite emission parameters." Journal of Vacuum Science & Technology B, Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena 33, no. 3 (May 2015): 03C104. http://dx.doi.org/10.1116/1.4904738.
Full textFokina, V. Yu, E. А. Kizima, I. V. Miheev, A. I. Ivankov, and V. M. Garamus. "STRUCTURAL PARAMETERS OF AQUEOUS COLLOIDAL DISPERSIONS OF FULLERENE C60." Bulletin of Dubna International University for Nature, Society, and Man. Series: Natural and engineering sciences, no. 4 (45) (December 30, 2019): 31–37. http://dx.doi.org/10.37005/1818-0744-2019-4-31-37.
Full textQuinault, J. M., A. B. Mayhoub, and G. Deville Cavelin. "An atmospheric dispersion model with continuous vertical variation of dispersion parameters." Theoretical and Applied Climatology 58, no. 1-2 (1997): 113–27. http://dx.doi.org/10.1007/bf00867438.
Full textDissertations / Theses on the topic "Dispersion parameters"
Wang, Bo Sen. "Statistical process control of process dispersion when parameters are unknown." Thesis, University of Macau, 2007. http://umaclib3.umac.mo/record=b1872930.
Full textDe, Samrat. "Effect of Variation of the Systemic Parameters on the Structural Response of Single Degree of Freedom Systems Subjected to Incremental Dynamic Analysis." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/9730.
Full textMaster of Science
Nowak, Wolfgang. "Geostatistical methods for the identification of flow and transport parameters in the subsurface." [S.l. : s.n.], 2005. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11759377.
Full textSashkova, Y. V., and E. N. Odarenko. "The Effect of Additional Layers Parameters on the Modifided Bragg Waveguide Characteristics." Thesis, IEEE, 2017. https://openarchive.nure.ua/handle/document/18112.
Full textRuddy, Sean Matthew. "Shrinkage of dispersion parameters in the double exponential family of distributions, with applications to genomic sequencing." Thesis, University of California, Berkeley, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3686002.
Full textThe prevalence of sequencing experiments in genomics has led to an increased use of methods for count data in analyzing high-throughput genomic data to perform analyses. The importance of shrinkage methods in improving the performance of statistical methods remains. A common example is that of gene expression data, where the counts per gene are often modeled as some form of an overdispersed Poisson. In this case, shrinkage estimates of the per-gene dispersion parameter have lead to improved estimation of dispersion in the case of a small number of samples. We address a different count setting introduced by the use of sequencing data: comparing differential proportional usage via an overdispersed binomial model. Such a model can be useful for testing differential exon inclusion in mRNA-Seq experiments in addition to the typical differential gene expression analysis. In this setting, there are fewer such shrinkage methods for the dispersion parameter. We introduce a novel method that is developed by modeling the dispersion based on the double exponential family of distributions proposed by Efron (1986), also known as the exponential dispersion model (Jorgensen, 1987). Our methods (WEB-Seq and DEB-Seq) are empirical bayes strategies for producing a shrunken estimate of dispersion that can be applied to any double exponential dispersion family, though we focus on the binomial and poisson. These methods effectively detect differential proportional usage, and have close ties to the weighted likelihood strategy of edgeR developed for gene expression data (Robinson and Smyth, 2007; Robinson et al., 2010). We analyze their behavior on simulated data sets as well as real data for both differential exon usage and differential gene expression. In the exon usage case, we will demonstrate our methods' superior ability to control the FDR and detect truly different features compared to existing methods. In the gene expression setting, our methods fail to control the FDR; however, the rankings of the genes by p-value is among the top performers and proves to be robust to both changes in the probability distribution used to generate the counts and in low sample size situations. We provide implementation of our methods in the R package DoubleExpSeq available from the Comprehensive R Archive Network (CRAN).
Gislason, Gardar. "Effect of Petrophysical Parameters on Seismic Waveform Signatures : Review of Theory with Case Study from Frigg Delta Oil Field, Norway." Thesis, Uppsala universitet, Geofysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303793.
Full textKonventionell AVO-analys har använts under fyra deceniär som ett hjälpmedel för att finna olje- och gasreserver, men tekniken kan även användas för att erhålla information om bergets porositet, vätskemättnaden och andra viktiga petrofysiska parametrar. I denna avhandlingen har jag studerat hur våginducerat vätskeflöde påverkar dämpningen av den seismiska vågformssignaturen. I den första delen av avhandlingen användes två metoder för att syntetisk modellera dämpning orsakad av våginducerat vätskeflöde: "White's modell" och "double-porosity dual-permeability (DPDP) modellen". Både syntetiska parametrar och verkliga parametrar från borrhålsdata från ett känt norskt oljefält användes vid modelleringen. White's modell visade sig modellera relativt kraftig dämpning (5%) för medelstarkt konsoliderade gasreservoarer medan för oljereservoarer med motsvaranda konsolidering dämpningen var så låg (0.3%) att det är uppenbart att i en verklig situation skulle dämpningen inte vara mätbar. DPDP modelleringen verkar vara bättre på att beskriva dämpningen och gav dämpningar upp till 10% för en medelstarkt konsoliderad oljereservoar. Brist på parametrar från borrhålsdata gjorde att det inte var möjligt att på ett tillfredställande sätt modellera en verklig situation.Dock visade syntetisk data intressant karaktäristik och det rekommenderas därför att mer och detaljerade borrhålsparametrar mäts om ytterligare forskning om detta ska genomföras. För den andra delen av avhandlingen har Svenska Petroleum Exploration AB och Det Norske Oljeselskap ASA bidragit med stackad seismisk data som även var spectralanalyserad för indikationer på frekvensberoende dämpningsvariationer (utfört med fouriertransform och komplex spectraldekomposition). Tolv områden på den stackade kuben analyserades; sex oljemättade och sex som antogs vara vattenmättade. I varje område valdes en huvudtracé och de två närmaste tracéerna på vardera sida (totalt fem tracéer). Metoden med komplex spectraldekomposition klarade inte att analysera signalen från den stackade sektionen, varför fouriertransform användes för vidare analys. Frekvensanalysen gav en topp vid ~30 Hz för både olje- och vattenmättade reservoarer vilket tycks vara en karaktäristisk frekvens för källan. Detta kunde tyvärr inte bekräftas och tiden räckte inte till för att testa antagandet. Fouriertransformen tycks visa en viss skillnad mellan olje- och vattenmättade tracéer, men det kan också bero på skillnad i litologin snarare än porvätskan. Där för rekommenderas vid fortsättning på denna forskning att 4D seismisk data används för att analysera samma område men med data från olika tidpunkter. Det rekommenderas även att ostackad eller råa skott-data används eftersom väsentlig information kan försvinna när data stackas.
Advisor present: Dr. Chris Juhlin
Examiner: Dr. Milovan Urosevic
Opponent: Álvaro Polín Tornero
RITA, ISAAC NEWTON FERREIRA SANTA. "COMPARISON OF TECHNIQUES FOR CFAR CLEAN AND ANALYSIS OF DISPERSION PARAMETERS OF MOBILE RADIO CHANNEL IN THE 2.5 GHZ." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35416@1.
Full textINSTITUTO MILITAR DE ENGENHARIA
CENTRO TECNOLÓGICO DO EXÉRCITO
Este trabalho objetiva apresentar os resultados das medições e a análise da resposta do canal banda larga na faixa de frequências de 2.5 GHz em um ambiente urbano, através da técnica de sondagem de multiportadoras. Para isso, os perfis de retardo de potência desse canal foram obtidos com base nos dados medidos na região da Gávea na cidade do Rio de Janeiro, utilizando duas técnicas de limpeza de perfis de retardo. As técnicas de limpeza são apresentadas e seus resultados são comparados para a transmissão de um sinal de 20MHz de largura de banda. Os Retardos RMS (Root Mean Square) são calculados a partir desses Perfis de Retardo de Potências filtrados e o erro médio quadrático para cada técnica de limpeza é avaliado e comparado para algumas posições do receptor.
This work presents the results of measurements and the analysis of the response of a wide band channel in the 2.5 GHz band for an urban environment, using the multicarrier sounding technique. To do this, the power delay profile (PDP) of the channel was obtained based on data measured at the neighborhood of Gávea, in the Rio de Janeiro, using two power delay profile filtering techniques. The power delay profile filtering techniques are presented and the results are compared for a transmitted signal of 20MHz bandwidth. The RMS (root mean square) delay spreads are determined from the filtered PDPs and from the original ones. The results are compared for some positions of the receiver and the quadratic mean error is evaluated.
Khodami, Maryam. "Dispersion Characteristics of One-dimensional Photonic Band Gap Structures Composed of Metallic Inclusions." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23179.
Full textSabnis, Aniket D. "Impact of material attributes & process parameters on critical quality attributes of the amorphous solid dispersion products obtained using hot melt extrusion." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/17458.
Full textDooher, Thomas. "Multi-walled carbon nanotube/high temperature polymer composites an investigation into the role of the solubility parameters in predicting dispersion and interfacial bonding." Thesis, University of Ulster, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.536463.
Full textBooks on the topic "Dispersion parameters"
Eriksson, Olle, Anders Bergman, Lars Bergqvist, and Johan Hellsvik. Atomistic Spin Dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788669.001.0001.
Full textBook chapters on the topic "Dispersion parameters"
Maasch, Matthias. "Extraction of Dispersion Parameters." In Tunable Microwave Metamaterial Structures, 49–72. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28179-7_4.
Full textHalter, R. J., A. Schned, J. Heaney, A. Hartov, and K. D. Paulsen. "Single Dispersion Cole Parameters of Malignant and Benign Prostate." In IFMBE Proceedings, 399–402. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03885-3_111.
Full textBesterci, M., I. Saxl, I. Kohútek, J. Zrník, and K. Sülleiová. "Quantification of Structure Parameters of Dispersion Strengthened Aluminium Alloys." In Advanced Light Alloys and Composites, 243–48. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9068-6_32.
Full textHorák, Daniel, Bohuslav Rittich, and Alena Španová. "Effect of reaction parameters on properties of dispersion-polymerized hydrophilic microspheres as supports for immobilization of proteins." In Aqueous Polymer Dispersions, 77–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b12142.
Full textHorák, Daniel, Bohuslav Rittich, and Alena Španová. "Effect of reaction parameters on properties of dispersion-polymerized hydrophilic microspheres as supports for immobilization of proteins." In Aqueous Polymer Dispersions, 77–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-36474-0_16.
Full textDegrazia, G. A. "Modelling Dispersion Parameters in a Planetary Boundary Layer Dominated by Convection." In Air Pollution Modeling and Its Application XII, 715–16. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-9128-0_81.
Full textShron, L., V. Bogutsky, and E. Yagyaev. "Study on the Dispersion of Concentrator Geometric Parameters in Fillet-Welded Joints." In Proceedings of the 4th International Conference on Industrial Engineering, 2461–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95630-5_266.
Full textAnand, M. C., Divya Rani, and B. K. Sujatha. "Time Dispersion Parameters for Double Bounce Geometrical Channel Including Rain Fading Effect." In Emerging Research in Computing, Information, Communication and Applications, 263–72. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4741-1_24.
Full textMoreno, Rodrigo, and Begoña Ferrari. "Nanoparticles Dispersion and the Effect of Related Parameters in the EPD Kinetics." In Nanostructure Science and Technology, 73–128. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9730-2_2.
Full textTaudt, Christopher. "Thin-film Characterization." In Development and Characterization of a Dispersion-Encoded Method for Low-Coherence Interferometry, 123–30. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-35926-3_5.
Full textConference papers on the topic "Dispersion parameters"
April L. Hiscox, David R. Miller, and Carmen J. Nappo. "Plume Model Dispersion Parameters Measured with LIDAR." In 2005 Tampa, FL July 17-20, 2005. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2005. http://dx.doi.org/10.13031/2013.18877.
Full textKlyachkin, Vladimir, and Anastasiya Alekseeva. "Parameters Optimization of the Generalized Dispersion Algorithm." In 2021 International Conference on Information Technology and Nanotechnology (ITNT). IEEE, 2021. http://dx.doi.org/10.1109/itnt52450.2021.9649378.
Full textPini, Agnese, Simone Zazzini, Paolo Bello, Paolo Monti, and Giovanni Leuzzi. "Numerical investigation of microplastic dispersion in the water column." In 2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea). IEEE, 2022. http://dx.doi.org/10.1109/metrosea55331.2022.9950826.
Full textSokac, Marek. "DETERMINATION OF DISPERSION PARAMETERS IN STREAMS WITH DEAD ZONES." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/31/s12.023.
Full textZdobytskyi, Andriy, Mykhailo Lobur, Volodymyr Dutka, Mykola Prodanyuk, and Olha Senkovych. "Determination of Dispersion Medium Parameters by Intelligent Microelectromechanical System." In 2020 IEEE XVIth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH). IEEE, 2020. http://dx.doi.org/10.1109/memstech49584.2020.9109482.
Full textCharles, Alain. "Parameters Affecting Alignment Dispersion On An Optical Wafer Stepper." In 1989 Intl Congress on Optical Science and Engineering, edited by Michel J. Lacombat and Stefan Wittekoek. SPIE, 1989. http://dx.doi.org/10.1117/12.961745.
Full textCHAKRAVARTY, SARBARISH, and GINO BIONDINI. "ON THE CHARACTERISTIC PARAMETERS OF DISPERSION-MANAGED OPTICAL PULSES." In Proceedings of the Workshop. WORLD SCIENTIFIC, 2003. http://dx.doi.org/10.1142/9789812704467_0049.
Full textLiu, Lin, Mingde Zhang, and Xiaohan Sun. "Optimal design of the parameters in dispersion compensation fibers." In International Symposium on Optoelectonics and Microelectronics, edited by Jian Liu and Zhigong Wang. SPIE, 2001. http://dx.doi.org/10.1117/12.444549.
Full textRuan, Fangming, Yang Meng, Feng Zhou, Huaiyu Wang, and Ning Zhuan. "Investigation of parameters dispersion in narrow gap electrostatic discharge." In 2012 Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC). IEEE, 2012. http://dx.doi.org/10.1109/apemc.2012.6237936.
Full textPini, Agnese, Giovanni Leuzzi, Paolo Monti, and Matteo Manfredi. "Modelling of short-term dispersion in the sea surface layer." In 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea). IEEE, 2018. http://dx.doi.org/10.1109/metrosea.2018.8657849.
Full textReports on the topic "Dispersion parameters"
Hanson A. L. and Diamond D. Calculation of Design Parameters for an Equilibrium LEU Core in the NBSR using a U7Mo Dispersion Fuel. Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1134663.
Full textGrenier, M., S. Hardcastle, G. Kunchur, and K. Butler. The use of tracer gases to determine dust dispersion patterns and ventilation parameters in a mineral processing plant. Natural Resources Canada/CMSS/Information Management, 1991. http://dx.doi.org/10.4095/328605.
Full textBanks, H. T., and J. M. Bardsley. Parameter Identification for a Dispersive Dielectric in 2D Electromagnetics: Forward and Inverse Methodology With Statistical Considerations. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada446721.
Full textJury, William A., and David Russo. Characterization of Field-Scale Solute Transport in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, January 1994. http://dx.doi.org/10.32747/1994.7568772.bard.
Full textLacerda 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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