Academic literature on the topic 'Interpolation transition'

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Journal articles on the topic "Interpolation transition"

1

Liu, Chao, and Hui Wang. "A real-time predictor-modification-evaluation–corrector-modification-evaluation parametric interpolator for numerical control transition curves." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 1-2 (2019): 95–107. http://dx.doi.org/10.1177/0954405419856951.

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A real-time parametric interpolator based on a predictor-modification-evaluation–corrector-modification-evaluation algorithm is proposed in this article, which is utilized to efficiently calculate the reference points of transition curves. Meanwhile, the stable calculation is guaranteed by analyzing the convergence condition of the predictor-modification-evaluation–corrector-modification-evaluation algorithm. Under the convergence condition, the proposed parametric interpolator and traditional line interpolators are simultaneously implemented to interpolate a two-dimensional butterfly path, wh
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Lee, Byung Ho, Soon Woo Park, Soojin Jo, and Moon Ki Kim. "Protein conformational transitions explored by a morphing approach based on normal mode analysis in internal coordinates." PLOS ONE 16, no. 11 (2021): e0258818. http://dx.doi.org/10.1371/journal.pone.0258818.

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Large-scale conformational changes are essential for proteins to function properly. Given that these transition events rarely occur, however, it is challenging to comprehend their underlying mechanisms through experimental and theoretical approaches. In this study, we propose a new computational methodology called internal coordinate normal mode-guided elastic network interpolation (ICONGENI) to predict conformational transition pathways in proteins. Its basic approach is to sample intermediate conformations by interpolating the interatomic distance between two end-point conformations with the
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Luo, Jun, and Ying Chen. "Colour Restoration of Image Obtained from CCD Sensor Directly." Cybernetics and Information Technologies 14, no. 2 (2014): 81–91. http://dx.doi.org/10.2478/cait-2014-0021.

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Abstract The original image data obtained from Charge-coupled Device (CCD) can be called original data, which is lack of color information. In order to restore the color of original image, firstly, we design a Bayer color filter array, and then we use bilinear interpolation algorithm and smooth hue transition interpolation algorithm to restore the color of original image. However, the hues of adjacent pixels change abruptly by the bilinear interpolation, therefore, we use smooth hue transition interpolation to enhance the edge of original image, and finally we identify the ultimate performance
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Zemlyakova, Irina A. "Interpolation of an Incomplete Market by a Complete One for a Trinomial Model in the Quantile Hedging Problem." UNIVERSITY NEWS. NORTH-CAUCASIAN REGION. NATURAL SCIENCES SERIES, no. 4-1 (216-1) (December 28, 2022): 21–28. http://dx.doi.org/10.18522/1026-2237-2022-4-1-21-28.

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The transition from an incomplete market to a complete market is considered using Haar interpolating filtering. With Haar interpolation, in the case of a transition from the current level of the tree to the next, only one atom is split into two parts, while the remaining atoms do not change. In the course of this interpolation, a complete market arises, for which the martingale measure is already unique. The question arises related to the choice of a single martingale measure for the resulting complete market. As this measure, one of the extreme martingale measures is chosen, the distance from
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Earshia V., Diana, and Sumathi M. "Interpolation of Low-Resolution Images for Improved Accuracy Using an ANN Quadratic Interpolator." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 4s (2023): 135–40. http://dx.doi.org/10.17762/ijritcc.v11i4s.6319.

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The era of digital imaging has transitioned into a new one. Conversion to real-time, high-resolution images is considered vital. Interpolation is employed in order to increase the number of pixels per image, thereby enhancing spatial resolution. Interpolation's real advantage is that it can be deployed on user end devices. Despite raising the number of pixels per inch to enhances the spatial resolution, it may not improve the image's clarity, hence diminishing its quality. This strategy is designed to increase image quality by enhancing image sharpness and spatial resolution simultaneously. Pr
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Imanian, Hanifeh, Hamidreza Shirkhani, Abdolmajid Mohammadian, Juan Hiedra Hiedra Cobo, and Pierre Payeur. "Spatial Interpolation of Soil Temperature and Water Content in the Land-Water Interface Using Artificial Intelligence." Water 15, no. 3 (2023): 473. http://dx.doi.org/10.3390/w15030473.

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The distributed measured data in large regions and remote locations, along with a need to estimate climatic data for point sites where no data have been recorded, has encouraged the implementation of spatial interpolation techniques. Recently, the increasing use of artificial intelligence has become a promising alternative to conventional deterministic algorithms for spatial interpolation. The present study aims to evaluate some machine learning-based algorithms against conventional strategies for interpolating soil temperature data from a region in southeast Canada with an area of 1000 km by
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Liu, Xiao-Ming, Jun Jiang, Ling Hong, Zigang Li, and Dafeng Tang. "Fuzzy Noise-Induced Codimension-Two Bifurcations Captured by Fuzzy Generalized Cell Mapping with Adaptive Interpolation." International Journal of Bifurcation and Chaos 29, no. 11 (2019): 1950151. http://dx.doi.org/10.1142/s0218127419501517.

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In this paper, the Fuzzy Generalized Cell Mapping (FGCM) method is developed with the help of the Adaptive Interpolation (AI) in the space of fuzzy parameters. The adaptive interpolation on the set-valued fuzzy parameter is introduced in computing the one-step transition membership matrix to enhance the efficiency of the FGCM. For each of initial points in the state space, a coarse database is constructed at first, and then interpolation nodes are inserted into the database iteratively each time errors are examined with the explicit formula of interpolation error until the maximal errors are j
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Fudge, T. J., E. D. Waddington, H. Conway, J. M. D. Lundin, and K. Taylor. "Interpolation methods for Antarctic ice-core timescales: application to Byrd, Siple Dome and Law Dome ice cores." Climate of the Past 10, no. 3 (2014): 1195–209. http://dx.doi.org/10.5194/cp-10-1195-2014.

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Abstract. Antarctic ice cores have often been dated by matching distinctive features of atmospheric methane to those detected in annually dated ice cores from Greenland. Establishing the timescale between these tie-point ages requires interpolation. While the uncertainty at tie points is relatively well described, uncertainty of the interpolation is not. Here we assess the accuracy of three interpolation schemes using data from the WAIS Divide ice core in West Antarctica; we compare the interpolation methods with the annually resolved timescale for the past 30 kyr. Linear interpolation yields
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Liu, Xiao-Ming, Jun Jiang, Ling Hong, and Dafeng Tang. "Studying the Global Bifurcation Involving Wada Boundary Metamorphosis by a Method of Generalized Cell Mapping with Sampling-Adaptive Interpolation." International Journal of Bifurcation and Chaos 28, no. 02 (2018): 1830003. http://dx.doi.org/10.1142/s0218127418300033.

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In this paper, a new method of Generalized Cell Mapping with Sampling-Adaptive Interpolation (GCMSAI) is presented in order to enhance the efficiency of the computation of one-step probability transition matrix of the Generalized Cell Mapping method (GCM). Integrations with one mapping step are replaced by sampling-adaptive interpolations of third order. An explicit formula of interpolation error is derived for a sampling-adaptive control to switch on integrations for the accuracy of computations with GCMSAI. By applying the proposed method to a two-dimensional forced damped pendulum system, g
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Huang, Jian, Ai Ping Song, Jian Ming Tao, and Dan Ping Yi. "Method of Corner Smooth Transition Based on Interpolation Spline." Advanced Materials Research 655-657 (January 2013): 1260–66. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1260.

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Adjustable form cubic interpolation spline curve, changing its form adjustment coefficient can adjust the curvature radius and shape. Using this spline curve can realize the high-speed smooth connecting between adjacent processing trajectory during NC movement. To internal outline corner transition, use cambered spline transfer curve; To external outline corner transition, can use cambered or toroidal spline transfer curve. During the corner transition process, keep the speed constant, adjust the curvature the curvature radius to control the value of acceleration. Corner smooth transition base
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