Academic literature on the topic 'Cycle skipping'
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Journal articles on the topic "Cycle skipping"
Tunçer, Erdal, Tarkan Sandalci, Saban Pusat, Özgün Balcı, and Yasin Karagöz. "Cycle-skipping strategy with intake air cut off for natural gas fueled Si engine." Science Progress 104, no. 3 (July 2021): 003685042110310. http://dx.doi.org/10.1177/00368504211031074.
Full textHuang, Guanghui, Rami Nammour, and William W. Symes. "Source-independent extended waveform inversion based on space-time source extension: Frequency-domain implementation." GEOPHYSICS 83, no. 5 (September 1, 2018): R449—R461. http://dx.doi.org/10.1190/geo2017-0333.1.
Full textAsano, Fumihiko, and Masashi Suguro. "Limit cycle walking, running, and skipping of telescopic-legged rimless wheel." Robotica 30, no. 6 (November 29, 2011): 989–1003. http://dx.doi.org/10.1017/s0263574711001226.
Full textYao, Gang, Nuno V. da Silva, Michael Warner, Di Wu, and Chenhao Yang. "Tackling cycle skipping in full-waveform inversion with intermediate data." GEOPHYSICS 84, no. 3 (May 1, 2019): R411—R427. http://dx.doi.org/10.1190/geo2018-0096.1.
Full textThakur, Joyeeta, Monali Goswami, and Subho Roy. "Understanding menstrual characteristics from the perspective of reproductive energetics: a study on the adolescent Oraon tribal populations." Anthropological Review 83, no. 2 (June 1, 2020): 109–28. http://dx.doi.org/10.2478/anre-2020-0009.
Full textHu, Yong, Li-Yun Fu, Qingqing Li, Wubing Deng, and Liguo Han. "Frequency-Wavenumber Domain Elastic Full Waveform Inversion with a Multistage Phase Correction." Remote Sensing 14, no. 23 (November 22, 2022): 5916. http://dx.doi.org/10.3390/rs14235916.
Full textTunçer, Erdal, Tarkan Sandalcı, and Yasin Karagöz. "Investigation of cycle skipping methods in an engine converted to positive ignition natural gas engine." Advances in Mechanical Engineering 13, no. 9 (September 2021): 168781402110454. http://dx.doi.org/10.1177/16878140211045454.
Full textNadamoto, Tomonori, Fumiko Fujisawa, Yosuke Ito, and Ryuzo Ikeuchi. "Skipping Breakfast Alters Diurnal Cycle of Salivary Corticosteroids in Humans." Nippon Eiyo Shokuryo Gakkaishi 56, no. 2 (2003): 103–7. http://dx.doi.org/10.4327/jsnfs.56.103.
Full textRamos-Martínez, Jaime, Lingyun Qiu, Alejandro A. Valenciano, Xiaoyan Jiang, and Nizar Chemingui. "Long-wavelength FWI updates in the presence of cycle skipping." Leading Edge 38, no. 3 (March 2019): 193–96. http://dx.doi.org/10.1190/tle38030193.1.
Full textMa, Yong, and Dave Hale. "Wave-equation reflection traveltime inversion with dynamic warping and full-waveform inversion." GEOPHYSICS 78, no. 6 (November 1, 2013): R223—R233. http://dx.doi.org/10.1190/geo2013-0004.1.
Full textDissertations / Theses on the topic "Cycle skipping"
Guo, Gaoshan. "Inversion de la forme d'onde complète à source étendue dans le domaine temporel : théorie, algorithme et application." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5014.
Full textFull waveform inversion (FWI) has emerged as the baseline seismic imaging method in exploration geophysics. Given the size of the data and model spaces, FWI relies on iterative local optimization methods and reduced search space where the wave equation is strictly satisfied at each iteration. This framework requires an accurate initial model allowing for the simulated data to match the recorded data with kinematic errors less than half the period to avoid cycle skipping. To mitigate cycle skipping, several variants of FWI have been developed over the last decade such as extended-space FWI where degrees of freedom are added to the forward problem. Among them, the wavefield reconstruction inversion (WRI) implements the wave equation as a soft constraint to match the data by combining a wave-equation relaxation with data assimilation. While WRI has been initially implemented in the frequency domain where the data-assimilated wavefields can be computed with linear algebra methods, the time-domain implementation with explicit time-marching schemes has proven challenging. It was recently recognized that the source extensions generated by the wave-equation relaxation are the least-squares solutions of the scattered-data fitting problem. As such, they are computed by backward modeling of deconvolved FWI data residuals by the data-domain Hessian. This reformulation of the wavefield reconstruction as a scattering source reconstruction has led to the extended-source FWI (ES-FWI).In this thesis, I develop a practical algorithm for ES-FWI. Firstly, I focus on the efficient computation of the source extensions where the deconvolution of the data residuals by the data-domain Hessian is the main computational bottleneck. Previous studies implement the Hessian with a scaled identity matrix, which is acceptable in certain favorable scenarios but prone to failure in complex media. I propose a more accurate approximation of the inverse Hessian with various matching filters such as 1D/2D Wiener and Gabor filters. Numerical tests conducted on the Marmousi II model show the relevance of these approximations. Moreover, the data-assimilated wavefields primarily consist of the ‘migration/demigration' of the recorded data. Accordingly, their accuracy diminishes away from the receivers, which can drive the inversion towards spurious minima in particular when surface multiples are involved in the inversion. To address this issue, I design a weighting operator based on time-offset windowing in the data misfit function to inject progressively more complex data in the inversion and reconstruct the medium from the shallow parts to the deep ones. The application of the BPsalt model illustrates the relevance of this layer-stripping scheme in a very challenging context.ES-FWI can be recast as a generalized FWI, where the data misfit function is weighted by the inverse data-domain Hessian of the source extension problem. This leads to a decomposition of the Gauss-Newton (GN) Hessian into a diagonal source-side Hessian and source-dependent receiver-side data-domain Hessians. I use this decomposition to propose a computationally efficient approximation of the GN Hessian. I approximate the inverse Hessian with 2D Gabor matching filters, which can be readily used as an approximation of the GN Hessian or as a preconditioner for the quasi-Newton method. Numerical tests demonstrate the improved convergence speed of FWI provided by this Hessian.Finally, I extend the application of the data-assimilated wavefield reconstruction towards seismic redatuming, where highly-accurate wavefield reconstruction is necessary. This prompts me to use the iterative solver to perform the deconvolution of the scattered data. Using reciprocity, I can chain source and receiver redatuming. Numerical tests and application to ocean-bottom seismic data validate the effectiveness of the proposed method
Book chapters on the topic "Cycle skipping"
Civan, Peter, Renaud Rincent, Alice Danguy-Des-Deserts, Jean-Michel Elsen, and Sophie Bouchet. "Population Genomics Along With Quantitative Genetics Provides a More Efficient Valorization of Crop Plant Genetic Diversity in Breeding and Pre-breeding Programs." In Population Genomics. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/13836_2021_97.
Full textConference papers on the topic "Cycle skipping"
Ramos-Martínez, J., L. Qiu, J. Kirkebø, A. A. Valenciano, and Y. Yang. "Long-wavelength FWI updates beyond cycle skipping." In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2998433.1.
Full textDaI, W., X. Cheng, K. Jiao, and D. Vigh. "Iterative Least-squares Migration without Cycle Skipping." In First EAGE/SBGf Workshop on Least-Squares Migration. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201803064.
Full textWarner, Michael, Lluís Guasch, and Gang Yao*. "Adaptive Waveform Inversion – FWI Without Cycle Skipping." In 2015 Workshop: Depth Model Building: Full-waveform Inversion, Beijing, China, 18-19 June 2015. Society of Exploration Geophysicists, 2015. http://dx.doi.org/10.1190/fwi2015-003.
Full textWarner, M., and L. Guasch. "Adaptive Waveform Inversion - FWI Without Cycle Skipping - Theory." In 76th EAGE Conference and Exhibition 2014. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20141092.
Full textGuasch, L., and M. Warner. "Adaptive Waveform Inversion - FWI Without Cycle Skipping - Applications." In 76th EAGE Conference and Exhibition 2014. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20141093.
Full textGuo, Q., T. Alkhalifah, and Z. Wu. "Velocity Building by Reflection Waveform Inversion without Cycle-skipping." In 79th EAGE Conference and Exhibition 2017. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201701003.
Full textRamos-Martinez, J., A. Valenciano, X. Jiang, and N. Chemingui. "Robust FWI Updates in the Presence of Cycle Skipping." In 81st EAGE Conference and Exhibition 2019. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201900640.
Full textWang, T., Y. Xie, M. Wang, Y. Guo, S. Wu, X. Ding, S. Wolfarth, Y. Supriatna, and P. Santoso. "Enhance Dynamic-Warping for FWI to Mitigate Cycle-Skipping." In 81st EAGE Conference and Exhibition 2019. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201901223.
Full textVigh, D. "Does Broadband Address the Cycle Skipping in Complex Areas?" In 81st EAGE Conference and Exhibition 2019 Workshop Programme. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201901955.
Full textWang, Min, Yi Xie, Wei Quan Xu, Fong Cheen Loh, Kefeng Xin, Boon Leng Chuah, Ted Manning, and Simon Wolfarth. "Dynamic-warping full-waveform inversion to overcome cycle skipping." In SEG Technical Program Expanded Abstracts 2016. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/segam2016-13855951.1.
Full textReports on the topic "Cycle skipping"
Development of an Adaptive Efficient Thermal/Electric Skipping Control Strategy Applied to a Parallel Plug-in Hybrid Electric Vehicle. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0737.
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