Journal articles on the topic 'Dimensional analysis'

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1

Dobáková, Romana, Natália Jasminská, Tomáš Brestovič, Mária Čarnogurská, and Marián Lázár. "Dimensional analysis application when calculating heat losses." International Journal of Engineering Research and Science 3, no. 9 (September 30, 2017): 29–34. http://dx.doi.org/10.25125/engineering-journal-ijoer-sep-2017-5.

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2

Cookson, Kristine L. "Dimensional analysis." Nursing 43, no. 6 (June 2013): 57–62. http://dx.doi.org/10.1097/01.nurse.0000428696.87216.e1.

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3

Buchanan, Mark. "Dimensional analysis." Nature Physics 6, no. 8 (August 2010): 555. http://dx.doi.org/10.1038/nphys1744.

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4

Mahoney, John F., and Sencer Yeralan. "Dimensional Analysis." Procedia Manufacturing 38 (2019): 694–701. http://dx.doi.org/10.1016/j.promfg.2020.01.094.

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5

Rao, N. N. "Dimensional analysis." Resonance 1, no. 11 (November 1996): 29–41. http://dx.doi.org/10.1007/bf02835211.

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6

Fei, Teng, Bin Guo, and Duong H. Phong. "Parabolic dimensional reductions of 11-dimensional supergravity." Analysis & PDE 14, no. 5 (August 22, 2021): 1333–61. http://dx.doi.org/10.2140/apde.2021.14.1333.

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7

SINGH, KAMAL BHAN, and YOGESH MISHRA. "TWO DIMENSIONAL AEROFOIL WIND TURBINE BLADE DESIGN AND ANALYSIS USING CFD ANALYSIS." INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES 9, no. 4 (December 31, 2021): 25–27. http://dx.doi.org/10.55083/irjeas.2021.v09i04005.

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In the current scenario, wind turbine energy accounts for 70% of total renewable energy used in India. The Indian wind energy sector has a capacity of 20 GW installed (as on 31.5.2017). In terms of installed wind power capacity, India ranks fifth in the world and is regarded as a major player in the global wind energy market. For the current work, a design method based on modelling in Uni-graphics and followed by simulation using the CFD (Computational Fluid Dynamics) star ccm + programme is chosen, so that the expense and time required to find the optimum aerodynamic design of a wind turbine blade by experiment can be minimised.
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8

Campanelli, Leonardo. "Dimensional analysis of two-dimensional turbulence." Modern Physics Letters B 33, no. 19 (July 8, 2019): 1950218. http://dx.doi.org/10.1142/s021798491950218x.

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We study the scaling properties of two-dimensional turbulence using dimensional analysis. In particular, we consider the energy spectrum both at large and small scales and in the “inertial ranges” for the cases of freely decaying and forced turbulence. We also investigate the properties of an “energy condensate” at large scales in spatially finite systems. Finally, an analysis of a possible inverse cascade in freely decaying turbulence is presented.
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9

Butterfield, R. "Dimensional analysis revisited." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 215, no. 11 (November 1, 2001): 1365–75. http://dx.doi.org/10.1243/0954406011524748.

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Dimensionless groups, the output of a successful dimensional analysis, are usually developed via Buckingham's pi theorem. Because this theorem provides a necessary but not sufficient condition for a solution, such a dimensional analysis may, on occasion, appear to fail. The paper presents the necessary and sufficient conditions in a simple form and builds on them to demonstrate how new physical knowledge can augment a ‘primitive’ set of dimensions to arrive at an optimal number of dimensionless groups. The formulation is used to elucidate the historical Rayleigh-Ria-bouchinsky controversy and a related thermomechanical problem is analysed to demonstrate the complete ‘new knowledge’ algorithm. Mathematica code is appended which incorporates these ideas and generates the complete set of admissible dimensionless groups for any specific problem.
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10

Gonzalez, Dean W., and Tim Peart. "Applying dimensional analysis." ACM SIGAda Ada Letters XIII, no. 4 (July 1993): 77–86. http://dx.doi.org/10.1145/163105.163113.

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11

Georgi, Howard. "Generalized dimensional analysis." Physics Letters B 298, no. 1-2 (January 1993): 187–89. http://dx.doi.org/10.1016/0370-2693(93)91728-6.

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12

Málek, Josef, and Jindřich Nečas. "A Finite-Dimensional Attractor for Three-Dimensional Flow of Incompressible Fluids." Journal of Differential Equations 127, no. 2 (May 1996): 498–518. http://dx.doi.org/10.1006/jdeq.1996.0080.

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13

Albeverio, S., Yu L. Daletsky, Yu G. Kondratiev, and L. Streit. "Non-Gaussian Infinite Dimensional Analysis." Journal of Functional Analysis 138, no. 2 (June 1996): 311–50. http://dx.doi.org/10.1006/jfan.1996.0067.

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14

Feyel, D., and A. de La Pradelle. "On infinite dimensional sheets." Potential Analysis 4, no. 4 (August 1995): 345–59. http://dx.doi.org/10.1007/bf01053452.

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15

Kubo, I., and H. H. Kuo. "Finite Dimensional Hida Distributions." Journal of Functional Analysis 128, no. 1 (February 1995): 1–47. http://dx.doi.org/10.1006/jfan.1995.1022.

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16

Erkut, M. H., S. V. Borisenok, M. Çağlar, and Y. Polatoğlu. "Solution to n-dimensional Sturm–Liouville-like equations using multi-dimensional Schwarzian." Journal of Differential Equations 251, no. 12 (December 2011): 3403–20. http://dx.doi.org/10.1016/j.jde.2011.08.023.

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17

Dolzhanskiy, A. M., N. M. Mospan, and O. A. Bondarenko. "Application of Dimensional Analysis for Stable Dry Drawing Process Designing." METALLOFIZIKA I NOVEISHIE TEKHNOLOGII 44, no. 7 (October 10, 2022): 831–47. http://dx.doi.org/10.15407/mfint.44.07.0831.

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18

Crisanto, Gabriel Pérez, Cruz García Lirios, and José Alfonso Aguilar Fuentes. "Dimensional Meta-Analysis of Trust: Implications for Covid-19 Communication." Journal of Clinical Case Reports and Studies 3, no. 1 (January 4, 2022): 01–05. http://dx.doi.org/10.31579/2690-8808/093.

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The objective of this work is to review citizen confidence regarding government action in situations of risk and contingency such as the covid-19 coronavirus pandemic. A documentary, meta-analytic and retrospective study was carried out with a selection of sources indexed to international repositories, considering the period from 2010 to 2020, although the research design limited the results to the research scenario, suggesting the extension of the work towards the relationship between trust and microfinance in the framework of local development.
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19

Gadiparthi, Sivanagaraju. "Effective Visualization Techniques for Multi-dimensional Data: A Comparative Analysis." International Journal of Science and Research (IJSR) 13, no. 5 (May 5, 2024): 152–56. http://dx.doi.org/10.21275/sr24501104057.

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20

Gameiro, Marcio, and Jean-Philippe Lessard. "Efficient Rigorous Numerics for Higher-Dimensional PDEs via One-Dimensional Estimates." SIAM Journal on Numerical Analysis 51, no. 4 (January 2013): 2063–87. http://dx.doi.org/10.1137/110836651.

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21

Blank, M. L. "Finite-dimensional stochastic attractors of infinite-dimensional dynamical systems." Functional Analysis and Its Applications 20, no. 2 (1986): 128–30. http://dx.doi.org/10.1007/bf01077268.

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22

Bai, Jushan, and Serena Ng. "Large Dimensional Factor Analysis." Foundations and Trends® in Econometrics 3, no. 2 (2008): 89–163. http://dx.doi.org/10.1561/0800000002.

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23

Mulders, J. J. L., and A. P. Day. "Three-Dimensional Texture Analysis." Materials Science Forum 495-497 (September 2005): 237–44. http://dx.doi.org/10.4028/www.scientific.net/msf.495-497.237.

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Three-dimensional (3D) microscopy is a new and rapidly expanding area. A DualBeam system, with both a focused ion beam (FIB) column and an electron column, is a powerful instrument for imaging and sectioning microstructures to generate a full 3D sample reconstruction. When an electron backscatter diffraction (EBSD) system is attached to the DualBeam, it becomes a unique tool for making 3D crystallographic measurements on a wide variety of materials. Combining the successive removal by FIB, with sequential EBSD maps taken with the electron beam requires clear geometric considerations and a high level of automation to obtain a decent resolution in the third dimension, including positional sub-pixel re-alignment. Complete automation allows controlled sectioning and analysis of a significant volume of material without operator intervention: a process that may run continuously and automatically for many hours. Using a Nova600, a Channel 6 EBSD system and dedicated control software, Aluminium, Nickel and Steel specimens have been examined and volumes with up to 200 slices have been successfully analysed.
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24

Meinsma, Gjerrit. "Dimensional and Scaling Analysis." SIAM Review 61, no. 1 (January 2019): 159–84. http://dx.doi.org/10.1137/16m1107127.

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25

Goth, George W. "Dimensional analysis by computer." Physics Teacher 24, no. 2 (February 1986): 75–76. http://dx.doi.org/10.1119/1.2341946.

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26

Lira, Ignacio. "Dimensional analysis made simple." European Journal of Physics 34, no. 6 (September 12, 2013): 1391–401. http://dx.doi.org/10.1088/0143-0807/34/6/1391.

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27

Bunge, H. J. "Three-dimensional texture analysis." International Materials Reviews 32, no. 1 (January 1987): 265–91. http://dx.doi.org/10.1179/imr.1987.32.1.265.

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28

Bouveyron, Charles, Stéphane Girard, and Cordelia Schmid. "High-Dimensional Discriminant Analysis." Communications in Statistics - Theory and Methods 36, no. 14 (October 22, 2007): 2607–23. http://dx.doi.org/10.1080/03610920701271095.

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29

Schnittger, J. R. "Dimensional Analysis in Design." Journal of Vibration and Acoustics 110, no. 3 (July 1, 1988): 401–7. http://dx.doi.org/10.1115/1.3269533.

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New guidelines for dimensional analysis remove traditional road-blocks to its widespread use in mechanical design. Cases, with or without prior formula given, are exposed as well as those with a governing differential equation. The examples include bevel gear, helical spring, centrifugal pump, journal bearing, vibration of turbine blades, and a disk brake. A matrix method to determine nondimensional groups is reviewed.
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30

Brody, Burt. "Dimensional analysis...in calculus." Physics Teacher 32, no. 6 (September 1994): 367. http://dx.doi.org/10.1119/1.2344040.

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31

Barreira, Luis, Benoît Saussol, and Jörg Schmeling. "Higher-dimensional multifractal analysis." Journal de Mathématiques Pures et Appliquées 81, no. 1 (January 2002): 67–91. http://dx.doi.org/10.1016/s0021-7824(01)01228-4.

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32

Böhm, Josef. "Dimensional Analysis with DERIVE." Mathematics and Computers in Simulation 45, no. 1-2 (January 1998): 197–205. http://dx.doi.org/10.1016/s0378-4754(97)00095-5.

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33

Harrington, Peter de B., Aaron Urbas, and Peter J. Tandler. "Two-dimensional correlation analysis." Chemometrics and Intelligent Laboratory Systems 50, no. 2 (March 2000): 149–74. http://dx.doi.org/10.1016/s0169-7439(99)00062-3.

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34

Rezaiee-Pajand, M., and M. R. Salary. "Two-dimensional sensitivity analysis." Computers & Structures 61, no. 3 (November 1996): 563–71. http://dx.doi.org/10.1016/0045-7949(96)00059-4.

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35

Cmelik, R. F., and N. H. Gehani. "Dimensional analysis with C++." IEEE Software 5, no. 3 (May 1988): 21–27. http://dx.doi.org/10.1109/52.2021.

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36

Rogers, P. "Dimensional analysis in Ada." ACM SIGAda Ada Letters VIII, no. 5 (September 1988): 92–100. http://dx.doi.org/10.1145/51624.51631.

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37

BAI, Z. D. "HIGH DIMENSIONAL DATA ANALYSIS." COSMOS 01, no. 01 (May 2005): 17–27. http://dx.doi.org/10.1142/s0219607705000115.

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We present two examples to show how the classical multivariate statistical approaches significantly lose efficiency or do not even work when dealing with high dimensional data analysis. These underline the importance and urgency of developing new theories to fit the urgent need of high dimensional data analysis.
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38

Heo, Won-Seok, Steven W. Hetts, and Vitaliy L. Rayz. "Dimensional analysis of magnetophoresis." International Journal of Engineering Science 193 (December 2023): 103946. http://dx.doi.org/10.1016/j.ijengsci.2023.103946.

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39

Latushkin, Yuri, and Alin Pogan. "The infinite dimensional Evans function." Journal of Functional Analysis 268, no. 6 (March 2015): 1509–86. http://dx.doi.org/10.1016/j.jfa.2014.11.020.

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40

Finkelshtein, Dmitri, Yuri Kondratiev, Eugene Lytvynov, and Maria João Oliveira. "An infinite dimensional umbral calculus." Journal of Functional Analysis 276, no. 12 (June 2019): 3714–66. http://dx.doi.org/10.1016/j.jfa.2019.03.006.

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41

Mitoma, Itaru. "An ∞-dimensional inhomogeneous Langevin's equation." Journal of Functional Analysis 61, no. 3 (May 1985): 342–59. http://dx.doi.org/10.1016/0022-1236(85)90027-8.

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42

Putinar, Mihai. "A two-dimensional moment problem." Journal of Functional Analysis 80, no. 1 (September 1988): 1–8. http://dx.doi.org/10.1016/0022-1236(88)90060-2.

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43

Comets, Francis, and Serguei Popov. "Two-Dimensional Brownian Random Interlacements." Potential Analysis 53, no. 2 (May 31, 2019): 727–71. http://dx.doi.org/10.1007/s11118-019-09786-8.

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44

Müller, Vladimı́r, and Marek Ptak. "Hyperreflexivity of finite-dimensional subspaces." Journal of Functional Analysis 218, no. 2 (January 2005): 395–408. http://dx.doi.org/10.1016/j.jfa.2004.03.015.

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45

Moro, Alessandro, Pasquale Correra, Roberto Boniello, Giulio Gasparini, and Sandro Pelo. "Three-Dimensional Analysis in Facial Asymmetry: Comparison With Model Analysis and Conventional Two-Dimensional Analysis." Journal of Craniofacial Surgery 20, no. 2 (March 2009): 417–22. http://dx.doi.org/10.1097/scs.0b013e31819b96a5.

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46

Onishi, Takashi, Moriaki Sakakura, Teppei Takashima, Takuya Kodani, Kazuhito Ohashi, and Shinya Tsukamoto. "0803 Dimensional error analysis for grinding of a cylindrical long workpiece." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2015.8 (2015): _0803–1_—_0803–4_. http://dx.doi.org/10.1299/jsmelem.2015.8._0803-1_.

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47

He, Bob Baoping. "OS04W0057 Structure and stress analysis using two-dimensional X-ray diffraction." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _OS04W0057. http://dx.doi.org/10.1299/jsmeatem.2003.2._os04w0057.

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48

Budhadev, Harshita. "Bioinformatics Analysis of α-Amylase Three-Dimensional Structure in Aspergillus oryzae." International Journal of Research Publication and Reviews 4, no. 9 (September 2023): 868–74. http://dx.doi.org/10.55248/gengpi.4.923.52600.

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49

Fardipour, Arvin, and Mehdi Nodeh. "Three-Dimensional Numerical Analysis to Determine Unloading Factor in Shallow Tunnels." International Journal of Research Publication and Reviews 4, no. 9 (September 24, 2023): 1440–49. http://dx.doi.org/10.55248/gengpi.4.923.92503.

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50

Goldberg, Michael, and William R. Green. "Dispersive estimates for higher dimensional Schrödinger operators with threshold eigenvalues I: The odd dimensional case." Journal of Functional Analysis 269, no. 3 (August 2015): 633–82. http://dx.doi.org/10.1016/j.jfa.2015.04.004.

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