Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Duxin Chen"'
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
To better understand the pattern phase transition of both physical and biological systems, we investigate a two-dimensional spin particle lattice system using statistical mechanics methods together with XY model governed by Hamiltonian equations of m
Externí odkaz:
https://doaj.org/article/2e10a27120f44576a3de51140981cfc6
Autor:
Haosen Cao, Bin-Bin Hu, Xiaoyu Mo, Duxin Chen, Jianxi Gao, Ye Yuan, Guanrong Chen, Tamás Vicsek, Xiaohong Guan, Hai-Tao Zhang
Publikováno v:
Engineering, Vol 36, Iss , Pp 240-249 (2024)
Hierarchical networks are frequently encountered in animal groups, gene networks, and artificial engineering systems such as multiple robots, unmanned vehicle systems, smart grids, wind farm networks, and so forth. The structure of a large directed h
Externí odkaz:
https://doaj.org/article/d4b7d4e27880412d8adbb5721504768e
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 4989-5006 (2024)
Due to irregular sampling or device failure, the data collected from sensor network has missing value, that is, missing time-series data occurs. To address this issue, many methods have been proposed to impute random or non-random missing data. Howev
Externí odkaz:
https://doaj.org/article/d4bd62fec1864f429ea1498affcca648
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 10, Pp 1925-1934 (2023)
Abstract Continuous non‐random data missing can be a challenging task for model prediction in intelligent transport system (ITS). In ITS, many methods have been proposed to solve this problem. However, the imputation accuracy of them is far from ac
Externí odkaz:
https://doaj.org/article/f657d0c5efc043e69c245a92f40d33fa
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Vital nodes identification is the problem of identifying the most significant nodes in complex networks, which is crucial in understanding the property of the networks and has applications in various fields such as pandemic controlling and energy sav
Externí odkaz:
https://doaj.org/article/2415f057e2b84990857249b965e3e380
Publikováno v:
Royal Society Open Science, Vol 8, Iss 9 (2021)
The mechanisms inducing unpredictably directional switches in collective and moving biological entities are largely unclear. Deeply understanding such mechanisms is beneficial to delicate design of biologically inspired devices with particular functi
Externí odkaz:
https://doaj.org/article/868b48b73dab46c580834fd8f858cb2f
Publikováno v:
Complexity, Vol 2021 (2021)
Revealing the underlying decision-making strategy governing the high-group polarization accompanied by conflicting individual preferences may play a central part in the lives of social animals. Hereby, we construct a structured spin model in accordan
Externí odkaz:
https://doaj.org/article/b7a4e5b413c34d8495d1a57afedcf87c
Publikováno v:
New Journal of Physics, Vol 18, Iss 10, p 103005 (2016)
To understand the collective behaviors of biological swarms, flocks, and colonies, we investigated the non-equilibrium dynamic patterns of self-propelled particle systems using statistical mechanics methods and H -stability analysis of Hamiltonian sy
Externí odkaz:
https://doaj.org/article/baf61d11e47b46439643890c7ba06e4b
Publikováno v:
IEEE Transactions on Power Systems. :1-11
Publikováno v:
IEEE Transactions on Cybernetics. 52:12340-12350
Dynamic resource allocation problem (DRAP) with unknown cost functions and unknown resource transition functions is studied in this article. The goal of the agents is to minimize the sum of cost functions over given time periods in a distributed way,