scholarly journals Retraction of: The speed of a biased random walk on a Galton-Watson tree is analytic

2021 ◽  
Vol 26 (none) ◽  
Author(s):  
Adam Bowditch ◽  
Yuki Tokushige
1992 ◽  
Vol 65 (5) ◽  
pp. 330
Author(s):  
J. N. Boyd ◽  
P. N. Raychowdhury

2013 ◽  
Vol 86 (2) ◽  
pp. 175-189 ◽  
Author(s):  
T. C. Gruber ◽  
S. D. Crossley ◽  
A. P. Smith

ABSTRACT Inflation pressure loss in tires degrades performance, raises rolling resistance, and reduces fuel economy. The incorporation of solid fillers, such as carbon black, at relatively high loadings in tire innerliners helps minimize these pressure losses by reducing innerliner permeability due to increases in average gas molecule diffusion path lengths (tortuosity), as well as reductions in diffusion pathway density (capacity). The effects of filler morphology and loading on diffusion path tortuosity can be explored by modeling biased random-walk diffusion through impermeable sphere-filled matrices. Modeled diffusion rate was found to decrease with increased filler loading, reduced filler sphere sizes, increased random-walk step sizes, and the aggregation of filler spheres. Initial correlations with limited empirical permeability measurements are used to validate the model approach.


1992 ◽  
Vol 65 (5) ◽  
pp. 330-333
Author(s):  
J. N. Boyd ◽  
P. N. Raychowdhury

2013 ◽  
Vol 49 (3) ◽  
pp. 698-721 ◽  
Author(s):  
Gerard Ben Arous ◽  
Yueyun Hu ◽  
Stefano Olla ◽  
Ofer Zeitouni

Biomimetics ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 69 ◽  
Author(s):  
Kevin Nickels ◽  
Hoa Nguyen ◽  
Duncan Frasch ◽  
Timothy Davison

Mobile robots that can effectively detect chemical effluents could be useful in a variety of situations, such as disaster relief or drug sniffing. Such a robot might mimic biological systems that exhibit chemotaxis, which is movement towards or away from a chemical stimulant in the environment. Some existing robotic exploration algorithms that mimic chemotaxis suffer from the problems of getting stuck in local maxima and becoming “lost”, or unable to find the chemical if there is no initial detection. We introduce the use of the RapidCell algorithm for mobile robots exploring regions with potentially detectable chemical concentrations. The RapidCell algorithm mimics the biology behind the biased random walk of Escherichia coli (E. coli) bacteria more closely than traditional chemotaxis algorithms by simulating the chemical signaling pathways interior to the cell. For comparison, we implemented a classical chemotaxis controller and a controller based on RapidCell, then tested them in a variety of simulated and real environments (using phototaxis as a surrogate for chemotaxis). We also added simple obstacle avoidance behavior to explore how it affects the success of the algorithms. Both simulations and experiments showed that the RapidCell controller more fully explored the entire region of detectable chemical when compared with the classical controller. If there is no detectable chemical present, the RapidCell controller performs random walk in a much wider range, hence increasing the chance of encountering the chemical. We also simulated an environment with triple effluent to show that the RapidCell controller avoided being captured by the first encountered peak, which is a common issue for the classical controller. Our study demonstrates that mimicking the adapting sensory system of E. coli chemotaxis can help mobile robots to efficiently explore the environment while retaining their sensitivity to the chemical gradient.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Hao Guo ◽  
Jiaqiang Dong ◽  
Sijun Hu ◽  
Xiqiang Cai ◽  
Guangbo Tang ◽  
...  

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