Simulation of pedestrian flow based on cluster temperature

Author(s):  
Shiwei Li ◽  
Jianqiang Wang
2021 ◽  
Vol 87 (3) ◽  
Author(s):  
R. Nemati Siahmazgi ◽  
S. Jafari

The purpose of the present paper is to investigate the generation of soft X-ray emission from an anharmonic collisional nanoplasma by a laser–nanocluster interaction. The electric field of the laser beam interacts with the nanocluster and leads to ionization of the cluster atoms, which then produces a nanoplasma. Because of the nonlinear restoring force in an anharmonic nanoplasma, the fluctuations and heating rate of, as well as the power radiated by, the electrons in the nanocluster plasma will be notably different from those arising from a linear restoring force. By comparing the nonlinear restoring force state (which arises from an anharmonic cluster) with that of the linear restoring force (in harmonic clusters), the cluster temperature specifically changes at the resonant frequency relative to the linear restoring force, while the variation of the anharmonic cluster radius is almost identical to that of the harmonic cluster radius. In addition, it is revealed that a sharp peak of X-ray emission arises after some picoseconds in deuterium, helium, neon and argon clusters.


2016 ◽  
Vol 166 (2) ◽  
pp. 211-229 ◽  
Author(s):  
Li Chen ◽  
Simone Göttlich ◽  
Qitao Yin

2017 ◽  
Vol 14 (1) ◽  
pp. 184-203 ◽  
Author(s):  
Luthful Alahi Kawsar ◽  
Noraida Abdul Ghani ◽  
Anton Abdulbasah Kamil ◽  
Adli Mustafa

Author(s):  
Ninad Gore ◽  
Sanjay Dave ◽  
Jiten Shah ◽  
Shriniwas Arkatkar ◽  
Srinivas Pulugurtha

2021 ◽  
Vol 10 (7) ◽  
pp. 479
Author(s):  
Yihang Li ◽  
Liyan Xu

The COVID-19 pandemic is a major challenge for society as a whole, and analyzing the impact of the spread of the epidemic and government control measures on the travel patterns of urban residents can provide powerful help for city managers to designate top-level epidemic prevention policies and specific epidemic prevention measures. This study investigates whether it is more appropriate to use groups of POIs with similar pedestrian flow patterns as the unit of study rather than functional categories of POIs. In this study, we analyzed the hour-by-hour pedestrian flow data of key locations in Beijing before, during, and after the strict epidemic prevention and control period, and we found that the pedestrian flow patterns differed greatly in different periods by using a composite clustering index; we interpreted the clustering results from two perspectives: groups of pedestrian flow patterns and functional categories. The results show that depending on the specific stage of epidemic prevention and control, the number of unique pedestrian flow patterns decreased from four before the epidemic to two during the strict control stage and then increased to six during the initial resumption of work. The restrictions on movement are correlated with most of the visitations, and the release of restrictions led to an increase in the variety of unique pedestrian flow patterns compared to that in the pre-restriction period, even though the overall number of visitations decreased, indicating that social restrictions led to differences in the flow patterns of POIs and increased social distance.


2008 ◽  
Vol 76 (3) ◽  
pp. 337-350 ◽  
Author(s):  
Yinhua Xia ◽  
S. C. Wong ◽  
Mengping Zhang ◽  
Chi-Wang Shu ◽  
William H. K. Lam

2016 ◽  
Vol 458 ◽  
pp. 31-42 ◽  
Author(s):  
Zhijian Fu ◽  
Lin Luo ◽  
Yue Yang ◽  
Yifan Zhuang ◽  
Peitong Zhang ◽  
...  

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