To solve the nonlinear partial differential equations is changed into solving some algebraic equations by using the function U to be expressed as linear independent functions.The new soliton and periodic solutions of ...To solve the nonlinear partial differential equations is changed into solving some algebraic equations by using the function U to be expressed as linear independent functions.The new soliton and periodic solutions of some fifth\|order nonlinear partial differential equations are obtained.展开更多
The convergence of optical and wireless technologies is driving the evolution of intelligent indoor networks,with Fiber-to-the-Room(FTTR)emerging as a key ar⁃chitecture for delivering gigabit connectivity in both home...The convergence of optical and wireless technologies is driving the evolution of intelligent indoor networks,with Fiber-to-the-Room(FTTR)emerging as a key ar⁃chitecture for delivering gigabit connectivity in both home and enterprise environments.By deploying optical fiber directly to rooms and integrating it with advanced wireless so⁃lutions such as millimeter-wave and Wi-Fi 7,FTTR enables next-generation applications,including immersive Virtual Re⁃ality(VR)/Augmented Reality(AR)and industrial Internet of Things(IoT).Nevertheless,its large-scale deployment pres⁃ents challenges in network management,energy efficiency,in⁃terference mitigation,and intelligent root cause analysis.展开更多
The mixture of factor analyzers （MFA） can accurately describe high resolution range profile （HRRP） statistical charac- teristics. But how to determine the proper number of the models is a problem. This paper devel...The mixture of factor analyzers （MFA） can accurately describe high resolution range profile （HRRP） statistical charac- teristics. But how to determine the proper number of the models is a problem. This paper develops a variational Bayesian mixture of factor analyzers （VBMFA） model. This procedure can obtain a lower bound on the Bayesian integral using the Jensen＇s inequality. An analytical solution of the Bayesian integral could be obtained by a hypothesis that latent variables in the model are indepen- dent. During computing the parameters of the model, birth-death moves are utilized to determine the optimal number of model au- tomatically. Experimental results for measured data show that the VBMFA method has better recognition performance than FA and MFA method.展开更多
We discuss a filtration problem in a bounded one-dimensional porous medium. Suppose that the.volumetric moisture content at the surface is constant, and the bottom is impermeable. We prove thatthe solution will tend u...We discuss a filtration problem in a bounded one-dimensional porous medium. Suppose that the.volumetric moisture content at the surface is constant, and the bottom is impermeable. We prove thatthe solution will tend uniformly to a stable solution of the filtration equation as time tends to infinity.An explicit expression of the limiting profile is given.展开更多
基金Project supported by the National Natural Science Foundation of China(69577009).
文摘To solve the nonlinear partial differential equations is changed into solving some algebraic equations by using the function U to be expressed as linear independent functions.The new soliton and periodic solutions of some fifth\|order nonlinear partial differential equations are obtained.
文摘The convergence of optical and wireless technologies is driving the evolution of intelligent indoor networks,with Fiber-to-the-Room(FTTR)emerging as a key ar⁃chitecture for delivering gigabit connectivity in both home and enterprise environments.By deploying optical fiber directly to rooms and integrating it with advanced wireless so⁃lutions such as millimeter-wave and Wi-Fi 7,FTTR enables next-generation applications,including immersive Virtual Re⁃ality(VR)/Augmented Reality(AR)and industrial Internet of Things(IoT).Nevertheless,its large-scale deployment pres⁃ents challenges in network management,energy efficiency,in⁃terference mitigation,and intelligent root cause analysis.
基金supported in part by the National Natural Science Foundation of China(60772140)the Program for Cheung Kong Scholarsand Innovative Research Team in University(IRT0645)
文摘The mixture of factor analyzers （MFA） can accurately describe high resolution range profile （HRRP） statistical charac- teristics. But how to determine the proper number of the models is a problem. This paper develops a variational Bayesian mixture of factor analyzers （VBMFA） model. This procedure can obtain a lower bound on the Bayesian integral using the Jensen＇s inequality. An analytical solution of the Bayesian integral could be obtained by a hypothesis that latent variables in the model are indepen- dent. During computing the parameters of the model, birth-death moves are utilized to determine the optimal number of model au- tomatically. Experimental results for measured data show that the VBMFA method has better recognition performance than FA and MFA method.
文摘We discuss a filtration problem in a bounded one-dimensional porous medium. Suppose that the.volumetric moisture content at the surface is constant, and the bottom is impermeable. We prove thatthe solution will tend uniformly to a stable solution of the filtration equation as time tends to infinity.An explicit expression of the limiting profile is given.
