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Scaling maximum spreading of droplet impacting on flexible substrates
Journal of Fluid Mechanics, 2023We numerically study the impact of a droplet on superhydrophobic flexible plates, aiming to understand how the flexible substrate influences the maximum spreading of the droplet.
Yufei Ma, Haibo Huang
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On The Acceleration Of Maximum Likelihood Algorithms
SPIE Proceedings, 1988Maximum likelihood algorithms have the potential of producing improved estimates with high accuracy. The computational requirements often become prohibitively expensive, however, because of the slow rates of convergence of these algorithms. This paper discusses three classes of acceleration techniques by which convergence to the maximum likelihood ...
Charles E. Metz, Chin-Tu Chen
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GAIPS: Accelerating Maximum Inner Product Search with GPU
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021In this paper, we propose the GAIPS framework for efficient maximum inner product search (MIPS) on GPU. We observe that a query can usually find a good lower bound of its maximum inner product in some large norm items that take up only a small portion of the dataset and utilize this fact to facilitate pruning. In addition, we design norm-based, residue-
Long Xiang, Xiao Yan, Lan Lu, Bo Tang
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Gas breakdown limit and maximum acceleration gradient for inverse Cherenkov laser accelerator
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1999Abstract Laser intensity thresholds for CO 2 laser-induced gas breakdown, such as tunneling, multiphoton, and cascade ionization have been estimated for the inverse Cherenkov accelerator experiment at the Brookhaven Accelerator Test Facility. The gas breakdown is dominated by cascade ionization and the maximum acceleration gradient is up to 300 MeV ...
Y. Liu, I.V. Pogorelsky, D. Cline
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GPU Accelerated Maximum Likelihood Analysis for Phylogenetic Inference
Proceedings of the 2019 8th International Conference on Software and Computer Applications, 2019With the advancement of biology and computer science, the amount of DNA sequences has grown at a rapid rate giving rise to the analysis of phylogenetic trees with many taxa. The maximum likelihood analysis is commonly considered as the best approach in phylogenetic analyses, which is extremely intensive for computation.
Sandun Rajapaksa +3 more
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Effects of obstacle position and hydrogen volume fraction on premixed syngas-air flame acceleration
, 2020There have been many studies concerning on the influence of obstacles on gas explosion, but the understanding of some phenomena is still not clear, such as explosion overpressure or the change of flame velocity with the position of obstacles.
Shixin Han +3 more
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Accelerating maximum likelihood estimation for Hawkes point processes
2013 23rd International Conference on Field programmable Logic and Applications, 2013Hawkes processes are point processes that can be used to build probabilistic models to describe and predict occurrence patterns of random events. They are widely used in high-frequency trading, seismic analysis and neuroscience. A critical numerical calculation in Hawkes process models is parameter estimation, which is used to fit a Hawkes process ...
Guo C., Luk W.
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Acceleration of list-mode expectation maximisation-maximum likelihood
2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149), 2002List-mode data preserves all sampling information from 3D PET imaging, and reduces storage requirements for multiple time frame acquisitions. List-mode EM-ML, which has been implemented in a number of forms (such as the EM algorithm for list-mode maximum likelihood, the FAIR algorithm and COSEM), is an obvious choice to reconstruct from such data sets ...
A.J. Reader +5 more
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An accelerated 3D maximum likelihood SPECT image reconstruction
Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference, 2002A three-dimensional maximum likelihood estimation (MLE) algorithm for single photon emission computed tomography (SPECT) image reconstruction is developed. This expectation maximization MLE algorithm is implemented using a projector-backprojector pair which approximates the two-dimensional, position-dependent blurring in SPECT.
N. Rajeevan, B.C. Penney, C.L. Byrne
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Scalable Hardware Acceleration of Non-Maximum Suppression
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022Chunyun Chen +6 more
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