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Articoli di riviste sul tema "Computational analysis"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Liu, G. R. "Computational methods for certified solutions, adaptive analysis, real-time computation, and inverse analysis of mechanics problem." Proceedings of The Computational Mechanics Conference 2011.24 (2011): _—1_—_—5_. http://dx.doi.org/10.1299/jsmecmd.2011.24._-1_.

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2

ILIE, Marcel, Augustin Semenescu, Gabriela Liliana STROE, and Sorin BERBENTE. "NUMERICAL COMPUTATIONS OF THE CAVITY FLOWS USING THE POTENTIAL FLOW THEORY." ANNALS OF THE ACADEMY OF ROMANIAN SCIENTISTS Series on ENGINEERING SCIENCES 13, no. 2 (2021): 78–86. http://dx.doi.org/10.56082/annalsarscieng.2021.2.78.

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Computational fluid dynamics of turbulent flows requires large computational resources or are not suitable for the computations of transient flows. Therefore methods such as Reynolds-averaged Navier-Stokes equations are not suitable for the computation of transient flows. The direct numerical simulation provides the most accurate solution, but it is not suitable for high-Reynolds number flows. Large-eddy simulation (LES) approach is computationally less demanding than the DNS but still computationally expensive. Therefore, alternative computational methods must be sought. This research concern

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3

Juneja, Shall, Deepayan Mukherjee, and Sachi Garg. "Computational Analysis of RNA Nucleotide Sequences." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (2019): 369–72. http://dx.doi.org/10.31142/ijtsrd21342.

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4

Fajdiga, Gorazd. "Computational fatigue analysis of contacting mechanical elements." Tehnicki vjesnik - Technical Gazette 22, no. 1 (2015): 169–75. http://dx.doi.org/10.17559/tv-20140429122305.

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5

Protsko, I. O., and D. V. Ostrovka. "ANALYSIS OF THE ERROR OF COMPUTATION FAST TRANSFORMS OF FOURIER CLASS BASED ON CYCLIC CONVOLUTIONS." Ukrainian Journal of Information Technology 2, no. 1 (2020): 52–56. http://dx.doi.org/10.23939/ujit2020.02.052.

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The features of the computational model of discrete transforms of Fourier class based on cyclic convolutions to determine the algorithmic calculation error are analyzed. Based on the approach of efficient computation of discrete transforms of Fourier class of arbitrary size N, using of a hashing array to transform a discrete basis matrix into a set of block-cyclic submatrices, the components of computational costs are considered. These components of computational costs depend on the type of transform, the size and the block-cycle structure of the transformation core. Examples of computational

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6

LESSNER, Daniel. "ANALYSIS OF TERM MEANING "COMPUTATIONAL THINKING"." Journal of Technology and Information 6, no. 1 (2014): 71–88. http://dx.doi.org/10.5507/jtie.2014.006.

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7

Planitz, Max, and R. E. Moore. "Computational Functional Analysis." Mathematical Gazette 70, no. 451 (1986): 69. http://dx.doi.org/10.2307/3615858.

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8

Fink, James P., and R. E. Moore. "Computational Functional Analysis." Mathematics of Computation 47, no. 175 (1986): 372. http://dx.doi.org/10.2307/2008105.

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9

Giraud, Mathieu, Richard Groult, Emmanuel Leguy, and Florence Levé. "Computational Fugue Analysis." Computer Music Journal 39, no. 2 (2015): 77–96. http://dx.doi.org/10.1162/comj_a_00300.

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One of the pinnacles of form in classical Western music, the fugue is often used in the teaching of music analysis and composition. Fugues alternate between instances of a subject and other patterns and modulatory sections, called episodes. Musicological analyses are generally built on these patterns and sections. We have developed several algorithms to perform an automated analysis of a fugue, starting from a score in which all the voices are separated. By focusing on the diatonic similarities between pitch intervals, we detect subjects and countersubjects, as well as partial harmonic sequenc

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10

Takizawa, Kenji, Yuri Bazilevs, Tayfun E. Tezduyar, Ming-Chen Hsu, and Takuya Terahara. "Computational Cardiovascular Medicine With Isogeometric Analysis." Journal of Advanced Engineering and Computation 6, no. 3 (2022): 167. http://dx.doi.org/10.55579/jaec.202263.381.

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Isogeometric analysis (IGA) brought superior accuracy to computations in both fluid and solid mechanics. The increased accuracy has been in representing both the problem geometry and the variables computed. Beyond using IGA basis functions in space, with IGA basis functions in time in a space–time (ST) context, we can have increased accuracy also in representing the motion of solid surfaces. Around the core methods such as the residual-based variational multiscale (VMS), ST-VMS and arbitrary Lagrangian–Eulerian VMS methods, with complex-geometry IGA mesh generation methods and immersogeometric

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11

Bhardwaj, Shalini, and Yashwant Buke. "Computational Fluid Dynamics Analysis of A Turbocharger System." International Journal of Scientific Research 3, no. 5 (2012): 161–64. http://dx.doi.org/10.15373/22778179/may2014/49.

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12

Hassanian, Reza, and Morris Riedel. "Mechanical Elements Analysis of Stewart Platform: Computational Approach." International Journal of Science and Research (IJSR) 11, no. 4 (2022): 1166–71. http://dx.doi.org/10.21275/sr22420092335.

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13

Gao, Feng, Gang Li, Rui Hu, and Hiroshi Okada. "Computational Fluid Dynamic Analysis of Coronary Artery Stenting." International Journal of Bioscience, Biochemistry and Bioinformatics 4, no. 3 (2014): 155–59. http://dx.doi.org/10.7763/ijbbb.2014.v4.330.

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14

Joseph, Prince. "Comparative Analysis of Computational Based Motif Refinement Methods." International Journal of Science and Research (IJSR) 12, no. 10 (2023): 163–66. http://dx.doi.org/10.21275/sr231002163600.

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15

Amyot, Romain, Noriyuki Kodera, and Holger Flechsig. "Atom Filtering Algorithm and GPU-Accelerated Calculation of Simulation Atomic Force Microscopy Images." Algorithms 17, no. 1 (2024): 38. http://dx.doi.org/10.3390/a17010038.

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Abstract (sommario):

Simulation of atomic force microscopy (AFM) computationally emulates experimental scanning of a biomolecular structure to produce topographic images that can be correlated with measured images. Its application to the enormous amount of available high-resolution structures, as well as to molecular dynamics modelling data, facilitates the quantitative interpretation of experimental observations by inferring atomistic information from resolution-limited measured topographies. The computation required to generate a simulated AFM image generally includes the calculation of contacts between the scan

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16

Wang, Xin, Zhi Yu, Le Yang, and Ji Li. "Design and Analysis of a Non-Iterative Estimator for Target Location in Multistatic Sonar Systems with Sensor Position Uncertainties." Mathematics 8, no. 1 (2020): 129. http://dx.doi.org/10.3390/math8010129.

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Target location is the basic application of a multistatic sonar system. Determining the position/velocity vector of a target from the related sonar observations is a nonlinear estimation problem. The presence of possible sensor position uncertainties turns this problem into a more challenging hybrid parameter estimation problem. Conventional gradient-based iterative estimators suffer from the problems of initialization difficulties and local convergence. Even if there is no problem with initialization and convergence, a large computational cost is required in most cases. In view of these drawb

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17

Cortés, J. C., J. V. Romero, M. D. Roselló, Francisco-J. Santonja, and Rafael-J. Villanueva. "Solving Continuous Models with Dependent Uncertainty: A Computational Approach." Abstract and Applied Analysis 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/983839.

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This paper presents a computational study on a quasi-Galerkin projection-based method to deal with a class of systems of random ordinary differential equations (r.o.d.e.’s) which is assumed to depend on a finite number of random variables (r.v.’s). This class of systems of r.o.d.e.’s appears in different areas, particularly in epidemiology modelling. In contrast with the other available Galerkin-based techniques, such as the generalized Polynomial Chaos, the proposed method expands the solution directly in terms of the random inputs rather than auxiliary r.v.’s. Theoretically, Galerkin project

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18

C., Mohan Raj. "Analysis of Various Automotive Mufflers: Computational Fluid Dynamics Approach." Revista Gestão Inovação e Tecnologias 11, no. 4 (2021): 1339–48. http://dx.doi.org/10.47059/revistageintec.v11i4.2191.

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19

Kumar, Sachin. "Computational Analysis for Random Winglet Designs on Light Aircraft." Journal of Advanced Research in Mechanical Engineering and Technology 05, no. 01 (2018): 01–16. http://dx.doi.org/10.24321/2454.8650.201801.

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20

Sahu, Rishabh Kumar, Saurabh Sharma, and Vivek Swaroop Vishal Kumar. "Experimental Investigations and Computational Analysis on Subsonic Wind Tunnel." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 1708–11. http://dx.doi.org/10.31142/ijtsrd23511.

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21

Madhu, S., P. Murali, R. Ramasai, M. Venkat Vardhan, and K. Bhanu Prakash. "Computational Fluid Dynamics (CFD) Analysis of A Go-Kart." International Journal of Research Publication and Reviews 5, no. 11 (2024): 3418–24. http://dx.doi.org/10.55248/gengpi.5.1124.3262.

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22

Alkhimova, Larisa E., Maria G. Babashkina, and Damir A. Safin. "Computational analysis of aspirin." Journal of Molecular Structure 1251 (March 2022): 131975. http://dx.doi.org/10.1016/j.molstruc.2021.131975.

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23

Sharov, Artem V., Tatyana M. Burkhanova, Tugba Taskın Tok, Maria G. Babashkina, and Damir A. Safin. "Computational Analysis of Molnupiravir." International Journal of Molecular Sciences 23, no. 3 (2022): 1508. http://dx.doi.org/10.3390/ijms23031508.

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Abstract (sommario):

In this work, we report in-depth computational studies of three plausible tautomeric forms, generated through the migration of two acidic protons of the N4-hydroxylcytosine fragment, of molnupiravir, which is emerging as an efficient drug to treat COVID-19. The DFT calculations were performed to verify the structure of these tautomers, as well as their electronic and optical properties. Molecular docking was applied to examine the influence of the structures of the keto-oxime, keto-hydroxylamine and hydroxyl-oxime tautomers on a series of the SARS-CoV-2 proteins. These tautomers exhibited the

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24

Rettinger, Robert. "Computational Complexity in Analysis." Electronic Proceedings in Theoretical Computer Science 24 (June 3, 2010): 3. http://dx.doi.org/10.4204/eptcs.24.3.

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25

Karlin, S., and L. R. Cardon. "Computational DNA Sequence Analysis." Annual Review of Microbiology 48, no. 1 (1994): 619–54. http://dx.doi.org/10.1146/annurev.mi.48.100194.003155.

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26

EDDY, S. R. "Computational Analysis of RNAs." Cold Spring Harbor Symposia on Quantitative Biology 71 (January 1, 2006): 117–28. http://dx.doi.org/10.1101/sqb.2006.71.003.

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27

Egnor, S. E. Roian, and Kristin Branson. "Computational Analysis of Behavior." Annual Review of Neuroscience 39, no. 1 (2016): 217–36. http://dx.doi.org/10.1146/annurev-neuro-070815-013845.

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28

Baek, W. K., R. I. Stephens, and B. Dopker. "Integrated Computational Durability Analysis." Journal of Engineering for Industry 115, no. 4 (1993): 492–99. http://dx.doi.org/10.1115/1.2901795.

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A computer aided analysis method is described for durability assessment in the early design stages using multibody dynamic analysis, finite element stress analysis, and fatigue life prediction methods. From multibody dynamic analysis of a mechanical system, dynamic loads of a mechanical component were calculated. Finite element stress analysis with substructuring techniques produced accurate stress fields for the component. From the dynamic loads and the stress field of the component, a dynamic stress history at the critical location was produced using the superposition principle. Using Neuber

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29

Dobner, H.-J. "Contributions to computational analysis." Bulletin of the Australian Mathematical Society 41, no. 2 (1990): 231–35. http://dx.doi.org/10.1017/s0004972700018049.

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In this paper some new results concerning computational analysis are established. The fundamental concepts of interval analysis and fixed point theorems suitable for computational purposes are developed and applied to concrete examples illustrating this new method of proving mathematical statements.

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30

Vahabzadeh, Yousef, Nima Chamanara, Karim Achouri, and Christophe Caloz. "Computational Analysis of Metasurfaces." IEEE Journal on Multiscale and Multiphysics Computational Techniques 3 (2018): 37–49. http://dx.doi.org/10.1109/jmmct.2018.2829871.

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31

Brown, Guy J., and Martin Cooke. "Computational auditory scene analysis." Computer Speech & Language 8, no. 4 (1994): 297–336. http://dx.doi.org/10.1006/csla.1994.1016.

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32

Kadhim, Ghada S., Sahar S. Abdullah, and Fredj Hassen. "Computational Analysis for Fluid-Solid Interface Using Computational Fluid Dynamics Analysis Techniques." Iraqi Journal of Industrial Research 12, no. 1 (2025): 81–90. https://doi.org/10.53523/ijoirvol12i1id549.

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This study presents a one-dimensional steady-state computational analysis of fluid-solid interactions using Computational Fluid Dynamics Analysis (CFD) analysis techniques. The analysis is conducted through numerical simulation based on Biot’s theory, implemented using COMSOL Multiphysics 6.0. Four two-layer models: air-stainless steel, air-silicon carbide, water-limestone, and water-sand are examined to investigate the influence of key parameters on acoustic wave reflection at interfaces. The models were analyzed under varying acoustic frequencies (10 Hz to 10 kHz) and oblique incidence angle

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33

Vo, A. V., and D. F. Laefer. "A BIG DATA APPROACH FOR COMPREHENSIVE URBAN SHADOW ANALYSIS FROM AIRBORNE LASER SCANNING POINT CLOUDS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W8 (September 23, 2019): 131–37. http://dx.doi.org/10.5194/isprs-annals-iv-4-w8-131-2019.

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<p><strong>Abstract.</strong> Because of the importance of access to sunlight, shadow analysis is a common consideration in urban design, especially for dense urban developments. As shadow computation is computationally expensive, most urban shadow analysis tools have to date circumvented the high computational costs by representing urban complexity only through simplified geometric models. The simplification process removes details and adversely affects the level of realism of the ultimate results. In this paper, an alternative approach is presented by utilizing the highest

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34

Anagnostopoulou, Christina, and Chantal Buteau. "Can computational music analysis be both musical and computational?" Journal of Mathematics and Music 4, no. 2 (2010): 75–83. http://dx.doi.org/10.1080/17459737.2010.520455.

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35

Otoguro, Yuto, Hiroki Mochizuki, Kenji Takizawa, and Tayfun E. Tezduyar. "Space–Time Variational Multiscale Isogeometric Analysis of a tsunami-shelter vertical-axis wind turbine." Computational Mechanics 66, no. 6 (2020): 1443–60. http://dx.doi.org/10.1007/s00466-020-01910-5.

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AbstractWe present computational flow analysis of a vertical-axis wind turbine (VAWT) that has been proposed to also serve as a tsunami shelter. In addition to the three-blade rotor, the turbine has four support columns at the periphery. The columns support the turbine rotor and the shelter. Computational challenges encountered in flow analysis of wind turbines in general include accurate representation of the turbine geometry, multiscale unsteady flow, and moving-boundary flow associated with the rotor motion. The tsunami-shelter VAWT, because of its rather high geometric complexity, poses th

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36

Cui, Zhe, Jayaram Kancherla, Kyle W. Chang, Niklas Elmqvist, and Héctor Corrada Bravo. "Proactive visual and statistical analysis of genomic data in Epiviz." Bioinformatics 36, no. 7 (2019): 2195–201. http://dx.doi.org/10.1093/bioinformatics/btz883.

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Abstract Motivation Integrative analysis of genomic data that includes statistical methods in combination with visual exploration has gained widespread adoption. Many existing methods involve a combination of tools and resources: user interfaces that provide visualization of large genomic datasets, and computational environments that focus on data analyses over various subsets of a given dataset. Over the last few years, we have developed Epiviz as an integrative and interactive genomic data analysis tool that incorporates visualization tightly with state-of-the-art statistical analysis framew

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37

Ichimura, Tsuyoshi, Ryoichiro Agata, Takane Hori, et al. "Tsunami Analysis Method with High-Fidelity Crustal Structure and Geometry Model." Journal of Earthquake and Tsunami 11, no. 05 (2017): 1750018. http://dx.doi.org/10.1142/s179343111750018x.

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Higher fidelity seafloor topography and crustal structure models have become available with accumulation of observation data. Previous studies have shown that the consideration of such high-fidelity models produces significant effects, in some cases, on crustal deformation results that are used as inputs for tsunami analysis. However, it is difficult to apply high-fidelity model of crustal deformation computations to tsunami computations because of large computational costs. In this paper, we propose a new crustal deformation computation method for estimating inputs for tsunami computations, w

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38

Pardhanani, Anand, and Graham F. Carey. "Optimization of computational grids." Numerical Methods for Partial Differential Equations 4, no. 2 (1988): 95–117. http://dx.doi.org/10.1002/num.1690040202.

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39

Babuška, I., F. Nobile, and R. Tempone. "Reliability of computational science." Numerical Methods for Partial Differential Equations 23, no. 4 (2007): 753–84. http://dx.doi.org/10.1002/num.20263.

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40

Zhang, Guiming, and Jin Xu. "Multi-GPU-Parallel and Tile-Based Kernel Density Estimation for Large-Scale Spatial Point Pattern Analysis." ISPRS International Journal of Geo-Information 12, no. 2 (2023): 31. http://dx.doi.org/10.3390/ijgi12020031.

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Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges. The existing GPU-parallel KDE method, however, utilizes only one GPU for parallel computing. Additionally, it assumes that the input data can be held in GPU memory all at once for computation, which is unrealistic when conducting KDE analysis over large geographic areas at high resolution. This study develops a multi-GPU-parallel and tile-based KDE

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41

Gourary, M. M., S. G. Rusakov, S. L. Ulyanov, M. M. Zharov, and B. J. Mulvaney. "Circuit Distortion Analysis Based on the Simplified Newton's Method." Journal of Electrical and Computer Engineering 2011 (2011): 1–11. http://dx.doi.org/10.1155/2011/540305.

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A new computational technique for distortion analysis of nonlinear circuits is presented. The new technique is applicable to the same class of circuits, namely, weakly nonlinear and time-varying circuits, as the periodic Volterra series. However, unlike the Volterra series, it does not require the computation of the second and third derivatives of device models. The new method is computationally efficient compared with a complete multitone nonlinear steady-state analysis such as harmonic balance. Moreover, the new technique naturally allows computing and characterizing the contributions of ind

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42

Sabadini, Irene, and Daniele C. Struppa. "Computational algebraic analysis methods in Clifford analysis." Mathematical Methods in the Applied Sciences 25, no. 16-18 (2002): 1415–27. http://dx.doi.org/10.1002/mma.379.

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43

Hozak, Yaroslav, and Sergiy Paliy. "Modern small networks for image classification. Feature analysis." Management of Development of Complex Systems, no. 60 (November 29, 2024): 221–29. https://doi.org/10.32347/2412-9933.2024.60.221-229.

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With the increasing demand for deploying deep learning models on resource-constrained devices, such as smartphones, IoT sensors, and edge computing platforms, the need for efficient convolutional neural networks (CNNs) has become paramount. This paper offers a comprehensive review of several state-of-the-art lightweight CNN architectures designed to address these challenges by reducing computational complexity and memory usage, while maintaining competitive performance in image classification tasks. Key architectures reviewed include MobileNets, ShuffleNet, DiceNet, and ESPNet, each of which e

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Kuraishi, Takashi, Kenji Takizawa, and Tayfun E. Tezduyar. "Space–time Isogeometric flow analysis with built-in Reynolds-equation limit." Mathematical Models and Methods in Applied Sciences 29, no. 05 (2019): 871–904. http://dx.doi.org/10.1142/s0218202519410021.

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We present a space–time (ST) computational flow analysis method with built-in Reynolds-equation limit. The method enables solution of lubrication fluid dynamics problems with a computational cost comparable to that of the Reynolds-equation model for the comparable solution quality, but with the computational flexibility to go beyond the limitations of the Reynolds-equation model. The key components of the method are the ST Variational Multiscale (ST-VMS) method, ST Isogeometric Analysis (ST-IGA), and the ST Slip Interface (ST-SI) method. The VMS feature of the ST-VMS serves as a numerical stab

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45

Fish, Jacob, and Sergey Kuznetsov. "Computational continua." International Journal for Numerical Methods in Engineering 84, no. 7 (2010): 774–802. http://dx.doi.org/10.1002/nme.2918.

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Fan, Jianqing, Fang Han, and Han Liu. "Challenges of Big Data analysis." National Science Review 1, no. 2 (2014): 293–314. http://dx.doi.org/10.1093/nsr/nwt032.

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Abstract Big Data bring new opportunities to modern society and challenges to data scientists. On the one hand, Big Data hold great promises for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. On the other hand, the massive sample size and high dimensionality of Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation, incidental endogeneity and measurement errors. These challenges are distinguished and require new computational and statistic

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47

Yoon, Daegeun, and Donghyun You. "An adaptive memory method for accurate and efficient computation of the Caputo fractional derivative." Fractional Calculus and Applied Analysis 24, no. 5 (2021): 1356–79. http://dx.doi.org/10.1515/fca-2021-0058.

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Abstract A fractional derivative is a temporally nonlocal operation which is computationally intensive due to inclusion of the accumulated contribution of function values at past times. In order to lessen the computational load while maintaining the accuracy of the fractional derivative, a novel numerical method for the Caputo fractional derivative is proposed. The present adaptive memory method significantly reduces the requirement for computational memory for storing function values at past time points and also significantly improves the accuracy by calculating convolution weights to functio

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48

Bell, John B., Alejandro L. Garcia, and Sarah A. Williams. "Computational fluctuating fluid dynamics." ESAIM: Mathematical Modelling and Numerical Analysis 44, no. 5 (2010): 1085–105. http://dx.doi.org/10.1051/m2an/2010053.

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Kaur, Sumit, and R. K. Bansal. "COMPARATIVE ANALYSIS OF SUPERPIXEL SEGMENTATION METHODS." International Journal of Engineering Technologies and Management Research 5, no. 3 (2020): 1–9. http://dx.doi.org/10.29121/ijetmr.v5.i3.2018.172.

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Superpixel segmentation showed to be a useful preprocessing step in many computer vision applications. Superpixel’s purpose is to reduce the redundancy in the image and increase efficiency from the point of view of the next processing task. This led to a variety of algorithms to compute superpixel segmentations, each with individual strengths and weaknesses. Many methods for the computation of superpixels were already presented. A drawback of most of these methods is their high computational complexity and hence high computational time consumption. K mean based SLIC method shows better perform

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50

An, Jing Bo. "Nonlinear Analysis for Bending Cross Section of Tensile-Compression Prestressed Concrete Beam." Applied Mechanics and Materials 204-208 (October 2012): 4538–43. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.4538.

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In this paper, based on the deformation of bonded tensile-compression prestressed concrete beam, the nonlinear analyses are presented about whole loading process of tensile-compression prestressed concrete beam by internal force equilibrium and deformation compatibility of cross section. Then the M-f computation programs are developed, and the computational results are consistent with that of test. Finally, the ANSYS programs are used to analyze and test the computational results from M-f computation programs. Research findings in this paper provide a basis for further study of tensile-compres

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