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Journal articles on the topic 'D Modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Ebling, D. G. "D. Greenspan: Particle Modeling." Crystal Research and Technology 34, no. 2 (1999): 180. http://dx.doi.org/10.1002/(sici)1521-4079(199902)34:2<180::aid-crat180>3.0.co;2-5.

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2

Birk, Andreas, Narunas Vaskevicius, Kaustubh Pathak, Soeren Schwertfeger, Jann Poppinga, and Heiko Buelow. "3-D perception and modeling." IEEE Robotics & Automation Magazine 16, no. 4 (2009): 53–60. http://dx.doi.org/10.1109/mra.2009.934822.

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3

Mammone, R. J., M. Gersten, D. J. Gormley, R. S. Koplin, and V. L. Lubkin. "3-D corneal modeling system." IEEE Transactions on Biomedical Engineering 37, no. 1 (1990): 66–72. http://dx.doi.org/10.1109/10.43617.

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4

Smith, Roger. "Modeling R&D Investments." Research-Technology Management 49, no. 6 (2006): 16–22. http://dx.doi.org/10.1080/08956308.2006.11657404.

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5

Pluk, K. J. W., J. W. Jansen, and E. A. Lomonova. "3-D Hybrid Analytical Modeling: 3-D Fourier Modeling Combined With Mesh-Based 3-D Magnetic Equivalent Circuits." IEEE Transactions on Magnetics 51, no. 12 (2015): 1–14. http://dx.doi.org/10.1109/tmag.2015.2455951.

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6

Kvarnsjo, L., and G. Engdahl. "Nonlinear 2-D transient modeling of Terfenol-D rods." IEEE Transactions on Magnetics 27, no. 6 (1991): 5349–51. http://dx.doi.org/10.1109/20.278835.

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7

Baklanov, Alexander, Dominik Brunner, Gregory Carmichael, et al. "Key Issues for Seamless Integrated Chemistry–Meteorology Modeling." Bulletin of the American Meteorological Society 98, no. 11 (2017): 2285–92. http://dx.doi.org/10.1175/bams-d-15-00166.1.

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Abstract Online coupled meteorology–atmospheric chemistry models have greatly evolved in recent years. Although mainly developed by the air quality modeling community, these integrated models are also of interest for numerical weather prediction and climate modeling, as they can consider both the effects of meteorology on air quality and the potentially important effects of atmospheric composition on weather. This paper summarizes the main conclusions from the “Symposium on Coupled Chemistry–Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and C

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8

Murata, Yutaka, Jin Kusaka, Yasuhiro Daisho, and Hajime Ishii. "The 3-D CFD Modeling Combined with Detailed Chemistry for Diesel Spray Combustion(Diesel Engines, Combustion Modeling II)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2004.6 (2004): 183–88. http://dx.doi.org/10.1299/jmsesdm.2004.6.183.

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9

Sugden, A. M. "Modeling Neandertal extinction." Science 351, no. 6277 (2016): 1039–40. http://dx.doi.org/10.1126/science.351.6277.1039-d.

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10

Purnell, B. A. "Modeling Ovarian Cancer." Science 335, no. 6074 (2012): 1280–81. http://dx.doi.org/10.1126/science.335.6074.1280-d.

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11

Oh, Eun-Mi, Yeon-Ju Eun, and Dae-Keun Jeon. "Development of 4-D Trajectory Modeling using BADA." Journal of the Korean Society for Aviation and Aeronautics 20, no. 2 (2012): 1–6. http://dx.doi.org/10.12985/ksaa.2012.20.2.001.

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12

Pluk, K. J. W., J. W. Jansen, and E. A. Lomonova. "Modeling of Noncuboidal Magnetic Sources in 3-D Fourier Modeling." IEEE Transactions on Magnetics 51, no. 11 (2015): 1–4. http://dx.doi.org/10.1109/tmag.2015.2442582.

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13

Colombo, V., and E. Ghedini. "3-D MODELING OF ICP TORCHES." High Temperature Material Processes (An International Quarterly of High-Technology Plasma Processes) 11, no. 2 (2007): 283–96. http://dx.doi.org/10.1615/hightempmatproc.v11.i2.110.

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14

Odstrcil, D. "Modeling 3-D solar wind structure." Advances in Space Research 32, no. 4 (2003): 497–506. http://dx.doi.org/10.1016/s0273-1177(03)00332-6.

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15

Jahn, Robert, Dalimil Snita, Milan Kubíček, and Miloš Marek. "3-D modeling of monolith reactors." Catalysis Today 38, no. 1 (1997): 39–46. http://dx.doi.org/10.1016/s0920-5861(97)00037-0.

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16

Gutsol, Alexander F., and Shailesh P. Gangoli. "Transverse 2-D Gliding Arc Modeling." IEEE Transactions on Plasma Science 45, no. 4 (2017): 555–64. http://dx.doi.org/10.1109/tps.2017.2653841.

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17

Aminzadeh, F., N. Burkhard, T. Kunz, L. Nicoletis, and F. Rocca. "3-D Modeling Project: 3rd report." Leading Edge 14, no. 2 (1995): 125–28. http://dx.doi.org/10.1190/1.1437102.

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18

Sahili, Ali, Bashar Zogheib, and Ronald M. Barron. "3-D Modeling of Axial Fans." Applied Mathematics 04, no. 04 (2013): 632–51. http://dx.doi.org/10.4236/am.2013.44088.

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19

Zawdie, K. A., J. D. Huba, and T. W. Wu. "Modeling 3-D artificial ionospheric ducts." Journal of Geophysical Research: Space Physics 118, no. 11 (2013): 7450–57. http://dx.doi.org/10.1002/2013ja018823.

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20

Florescu, Ana-Maria, Marc Joyeux, and Bénédicte Lafay. "Modeling of 2-D DNA display." ELECTROPHORESIS 30, no. 21 (2009): 3649–56. http://dx.doi.org/10.1002/elps.200900258.

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21

Cooley, Stephen C., Jan Hehmeyer, and Patrick J. Sweeney. "Modeling R&D Resource Allocation." Research Management 29, no. 1 (1986): 40–45. http://dx.doi.org/10.1080/00345334.1986.11756945.

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22

Nghiem‐Phu, Lan, Scott C. Daubin, and Frederick D. Tappert. "Interactive 3‐D canonical acoustic modeling." Journal of the Acoustical Society of America 84, S1 (1988): S92. http://dx.doi.org/10.1121/1.2026565.

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23

Paul, Subhra, Walter Bomela, Nirmal Paudel, and Jonathan Z. Bird. "3-D Eddy Current Torque Modeling." IEEE Transactions on Magnetics 50, no. 2 (2014): 905–8. http://dx.doi.org/10.1109/tmag.2013.2285566.

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24

Jianxiang, Zheng, Lu Huilin, Sun Xiaoquan, He Yurong, Ding Jianmin, and Wang Shuyan. "Hydrodynamic Modeling of Gas−Particle Flows in D−D Calciners." Industrial & Engineering Chemistry Research 44, no. 9 (2005): 3033–41. http://dx.doi.org/10.1021/ie040168j.

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25

Tappert, F. D. "Broadband PE/SSF modeling in 2‐D and 3‐D." Journal of the Acoustical Society of America 109, no. 5 (2001): 2334. http://dx.doi.org/10.1121/1.4744196.

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26

Jurado, Fabrice, Michel Cuer, and Vincent Richard. "1-D layered media: Part 1, 3-D elastic modeling." GEOPHYSICS 60, no. 6 (1995): 1843–56. http://dx.doi.org/10.1190/1.1443916.

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The growing importance of prestack amplitude analysis requires the development of accurate and fast full‐wave elastic 3-D modeling algorithms for guiding and checking the interpretation of seismic data as well as for seismic inversion. The approach we propose in this paper is restricted to horizontally layered elastic media. First, a set of 1-D equations is obtained by direct Hankel transform of the equations of motion with respect to the horizontal variable. These equations of motion are standard except that we use an appropriate change of variables. For each horizontal wavenumber k, the 1-D

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27

Leung, Siegfried S. F., Julian Tirado-Rives, and William L. Jorgensen. "Vancomycin resistance: Modeling backbone variants with d-Ala-d-Ala and d-Ala-d-Lac peptides." Bioorganic & Medicinal Chemistry Letters 19, no. 4 (2009): 1236–39. http://dx.doi.org/10.1016/j.bmcl.2008.12.072.

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28

Scinocca, J. F., V. V. Kharin, Y. Jiao, et al. "Coordinated Global and Regional Climate Modeling*." Journal of Climate 29, no. 1 (2015): 17–35. http://dx.doi.org/10.1175/jcli-d-15-0161.1.

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Abstract A new approach of coordinated global and regional climate modeling is presented. It is applied to the Canadian Centre for Climate Modelling and Analysis Regional Climate Model (CanRCM4) and its parent global climate model CanESM2. CanRCM4 was developed specifically to downscale climate predictions and climate projections made by its parent global model. The close association of a regional climate model (RCM) with a parent global climate model (GCM) offers novel avenues of model development and application that are not typically available to independent regional climate modeling center

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29

Ning, R. H., Y. G. Li, W. H. Zhou, Z. Zeng, and X. Ju. "Modeling D retention in W under D ions and neutrons irradiation." Journal of Nuclear Materials 430, no. 1-3 (2012): 20–26. http://dx.doi.org/10.1016/j.jnucmat.2012.06.029.

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30

Ren, Xiaofeng, Dieter Fox, and Kurt Konolige. "Change Their Perception: RGB-D for 3-D Modeling and Recognition." IEEE Robotics & Automation Magazine 20, no. 4 (2013): 49–59. http://dx.doi.org/10.1109/mra.2013.2253409.

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31

Hada, Ryo, and Kenji Terada. "3-D Modeling using 3-D Rotation Invariant Phase Only Correlation." IEEJ Transactions on Electronics, Information and Systems 136, no. 8 (2016): 1128–34. http://dx.doi.org/10.1541/ieejeiss.136.1128.

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32

Shvetsov, G. A., and S. V. Stankevich. "Comparison Between 2-D and 3-D Electromagnetic Modeling of Railgun." IEEE Transactions on Magnetics 45, no. 1 (2009): 453–57. http://dx.doi.org/10.1109/tmag.2008.2008919.

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33

Minaev, V. A., A. O. Faddeev, and N. A. Kuzmenko. "3-D MODELING OF DANGEROUS ENDOGENOUS GEOLOGICAL PROCESSES MIGRATION." Vestnik of Ryazan State Radio Engineering University 58, no. 4 (2016): 64–74. http://dx.doi.org/10.21667/1995-4565-2016-58-4-64-74.

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34

MATSUNOBU, Kazuhiko, Tadaharu ISHIKAWA, and Makoto ANDO. "1-D MODELING OF CHANNEL MEANDERING EVOLUTION." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 71, no. 4 (2015): I_559—I_564. http://dx.doi.org/10.2208/jscejhe.71.i_559.

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35

Danilov, A. D. "New ideas on the D-region modeling." Advances in Space Research 25, no. 1 (2000): 5–14. http://dx.doi.org/10.1016/s0273-1177(99)00891-1.

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36

Jeraj, Robert, and Mariam Eljanne. "WE-D-BRB-00: Modeling Cancer Complexity." Medical Physics 42, no. 6Part38 (2015): 3666. http://dx.doi.org/10.1118/1.4925924.

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37

Lages, M. "Modeling perceptual bias in 3-D motion." Journal of Vision 6, no. 6 (2010): 628. http://dx.doi.org/10.1167/6.6.628.

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38

Canik, J. M., A. R. Briesemeister, C. J. Lasnier, et al. "Modeling of detachment experiments at DIII-D." Journal of Nuclear Materials 463 (August 2015): 569–72. http://dx.doi.org/10.1016/j.jnucmat.2014.11.077.

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39

HUANG, THOMAS S., and LI-AN TANG. "3-D FACE MODELING AND ITS APPLICATIONS." International Journal of Pattern Recognition and Artificial Intelligence 10, no. 05 (1996): 491–520. http://dx.doi.org/10.1142/s0218001496000311.

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This paper describes some issues in building a 3-D human face modeling system which mainly consists of three parts: • Modeling human faces; • Analyzing facial motions; • Synthesizing facial expressions. A variety of techniques developed for this system are described in detail in this paper. Some preliminary results of applying this system to computer animation, video sequence compression and human face recognition are also shown.

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40

Wiley, R. W., R. S. McKnight, and K. K. Sekharan. "Salt canopy 3-D physical modeling project." Leading Edge 15, no. 11 (1996): 1249–51. http://dx.doi.org/10.1190/1.1437235.

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41

Paknezhad, Meghdad, and Mehdi Rezaeian. "Indoor Planar Modeling Using RGB-D Images." Signal and Data Processing 14, no. 3 (2017): 143–60. http://dx.doi.org/10.29252/jsdp.14.3.143.

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42

Wu, Chao‐Min, and Reiner Wilhelms. "Graphics tool for 3‐D tongue modeling." Journal of the Acoustical Society of America 92, no. 4 (1992): 2390–91. http://dx.doi.org/10.1121/1.404762.

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43

Zhang, Meng, Pan Wu, Hongzhi Wu, Yanlin Weng, Youyi Zheng, and Kun Zhou. "Modeling hair from an RGB-D camera." ACM Transactions on Graphics 37, no. 6 (2019): 1–10. http://dx.doi.org/10.1145/3272127.3275039.

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44

Ning, Xiaohui. "Modeling saturable absorption using 3-D spreadsheets." Computers in Physics 4, no. 5 (1990): 532. http://dx.doi.org/10.1063/1.168389.

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45

Biswas, Dipankar, and Bimalendu B. Bhattacharya. "2-D Electrical Modeling over Undulated Topography." GEOPHYSICS 63, no. 3 (1998): 898–907. http://dx.doi.org/10.1190/1.1444400.

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The electrical response of a cylindrical inclusion in topographic relief has been treated analytically for a uniform electric field. The undulated topography has been conveniently defined by a smoothly connected mathematical surface defining a hump or bump. A Born approximation of Laplace’s equation in a bipolar coordinate system has been derived by solving for the mixed‐boundary conditions, namely Neumann and Dirichlet conditions, respectively. The topographic relief causes focusing and defocusing at the transition zones of flat and topographic relief and the central zone of the hump. Consequ

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46

Xie, Ganquan, Jianhua Li, Ernest L. Majer, Daxin Zuo, and Michael L. Oristaglio. "3-D electromagnetic modeling and nonlinear inversion." GEOPHYSICS 65, no. 3 (2000): 804–22. http://dx.doi.org/10.1190/1.1444779.

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We describe a new algorithm for 3-D electromagnetic inversion that uses global integral and local differential equations for both the forward and inverse problems. The coupled integral and differential equations are discretized by the finite element method and solved on a parallel computer using domain decomposition. The structure of the algorithm allows efficient solution of large 3-D inverse problems. Tests on both synthetic and field data show that the algorithm converges reliably and efficiently and gives high‐resolution conductivity images.

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47

Byung Woog Cho, Pyung Choi, and Byung Ki Sohn. "Modeling modulators for A/D signal conversion." IEEE Circuits and Devices Magazine 14, no. 6 (1998): 26–31. http://dx.doi.org/10.1109/101.735792.

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48

CHUDNOVSKY, ALEXANDER, and SERGE PRESTON. "4-D GEOMETRICAL MODELING OF MATERIAL AGING." International Journal of Geometric Methods in Modern Physics 03, no. 08 (2006): 1529–58. http://dx.doi.org/10.1142/s021988780600182x.

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The 4-dim intrinsic (material) Riemannian metric G of the material 4-D space-time continuum P is utilized as the characteristic of the aging processes developing in the material. Manifested through variation of basic material characteristics such as density, moduli of elasticity, yield stress, strength, and toughness., the aging process is modeled as the evolution of the metric G (most importantly of its time component G00) of the material space-time P embedded into 4-D Newtonian space-time with a Euclidean metric. The evolutional equation for the metric G is derived by the classical variation

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49

Aarthee, R., and D. Ezhilmaran. "Modeling crime events by d-separation method." IOP Conference Series: Materials Science and Engineering 263 (November 2017): 042145. http://dx.doi.org/10.1088/1757-899x/263/4/042145.

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50

Honary, Vahraz, Marissa Nitz, Beata J. Wysocki, and Tadeusz A. Wysocki. "Modeling 3-D diffusion using queueing networks." Biosystems 179 (May 2019): 17–23. http://dx.doi.org/10.1016/j.biosystems.2018.12.006.

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