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pro vyhledávání: '"Lai, Yan"'
Autor:
Lai, Yan Kai
Vector-based algorithms are novel algorithms in optimal any-angle path planning that are motivated by bug algorithms, bypassing free space by directly conducting line-of-sight checks between two queried points, and searching along obstacle contours i
Externí odkaz:
http://arxiv.org/abs/2408.05806
A vector-based any-angle path planner, R2, is evolved in to R2+ in this paper. By delaying line-of-sight, R2 and R2+ search times are largely unaffected by the distance between the start and goal points, but are exponential in the worst case with res
Externí odkaz:
http://arxiv.org/abs/2405.04952
Autor:
Ji-Lai Yan
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 19, Iss 1, Pp 1-5 (2024)
Abstract Background The aim of this study is to explore the clinical value of computed tomography angiography (CTA) in the diagnosis of aortic aneurysm. Methods The imaging data of 60 patients suspected of having aortic aneurysms who were examined in
Externí odkaz:
https://doaj.org/article/829bfd871ba34eae80b36f74e41029e1
$ $Future surveys could obtain tighter constraints on the cosmological parameters with the galaxy power spectrum than with the Cosmic Microwave Background. However, the inclusion of multiple overlapping tracers, redshift bins, and more non-linear sca
Externí odkaz:
http://arxiv.org/abs/2306.00388
Using peculiar velocity surveys to constrain the growth rate of structure with the wide-angle effect
Amongst the most popular explanations for dark energy are modified theories of gravity. The galaxy overdensity and peculiar velocity fields help us to constrain the growth rate of structure and distinguish different models of gravity. We introduce an
Externí odkaz:
http://arxiv.org/abs/2209.04166
R2 is a novel online any-angle path planner that uses heuristic bug-based or ray casting approaches to find optimal paths in 2D maps with non-convex, polygonal obstacles. R2 is competitive to traditional free-space planners, finding paths quickly if
Externí odkaz:
http://arxiv.org/abs/2206.14071
Autor:
Howlett, Cullan, Said, Khaled, Lucey, John R., Colless, Matthew, Qin, Fei, Lai, Yan, Tully, R. Brent, Davis, Tamara M.
We present a new catalogue of distances and peculiar velocities (PVs) of $34,059$ early-type galaxies derived from Fundamental Plane (FP) measurements using data from the Sloan Digital Sky Survey (SDSS). This $7016\,\mathrm{deg}^{2}$ homogeneous samp
Externí odkaz:
http://arxiv.org/abs/2201.03112
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 5 December 2024 702 Part 2
Publikováno v:
In Precision Engineering May 2024 87:33-42
Publikováno v:
In Robotics and Autonomous Systems February 2024 172