157 research outputs found

    On the oscillation of solutions of parabolic partial functional differential equations

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    Forced oscillations of a class of nonlinear delay hyperbolic equations

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    Oscillation of a class of higher order neutral differential equations

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    summary:In this paper, we investigate a class of higher order neutral functional differential equations, and obtain some new oscillatory criteria of solutions

    On the stability in terms of two measures for perturbed impulsive integro-differential equations

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    AbstractThis paper establishes several stability criteria for perturbed impulsive integro-differential equations with fixed moments of impulsive effect. By using a new comparison theorem, which connects the solutions of perturbed system and the unperturbed one, some sufficient conditions for the stability in terms of two measures are obtained for the perturbed system while unperturbed one dissatisfied which because of the effect of the perturbed terms

    Quasilinearization of an initial value problem for a set valued integro-differential equation

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    AbstractThis paper proposes a quasilinearization method for a set valued integro-differential equation and obtains a series solution converging monotonically and quadratically to the exact solution of the problem

    Practical Stability in terms of Two Measures for Set Differential Equations on Time Scales

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    We present a new comparison principle by introducing a notion of upper quasi-monotone nondecreasing and obtain the practical stability criteria for set valued differential equations in terms of two measures on time scales by using the vector Lyapunov function together with the new comparison principle

    Nonlinear Variation of Parameters Formula for Impulsive Differential Equations with Initial Time Difference and Application

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    This paper establishes variation of parameters formula for impulsive differential equations with initial time difference. As an application, one of the results is used to investigate stability properties of solutions

    The Cognitive Load of Observation Tasks in 3D Video is Lower Than That in 2D Video

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    We are exposed to more and more 3D videos, some for entertainment and some for scientific research. Some experiments using 3D video as a stimulus focus only on its visual effect. We studied the cognitive difference between 3D and 2D videos by analyzing EEG. This research adopts a 2 x 4 experimental design, including 2D and 3D versions of 4 video scenes. These four video scenes can be classified into two simple task scenes and two complex task scenes. The simple task scenario and the complex task scenario each contain a video with violent content changes and a calm video. Subjects need to watch eight videos. We recorded the EEG information of the subjects and analyzed the power of alpha and theta oscillations. On this basis, we calculated the cognitive load index (CLI), which can be used as an indicator of cognitive load. The results showed that 3D videos that required subjects to perform simple tasks brought higher cognitive load to most subjects. When the video contains complex tasks, the cognitive load of subjects does not show similar regularity. Specifically, only half of the people had higher cognitive load when watching the 3D version of the video than when watching the 2D version. In addition, the cognitive load level of subjects showed significant individual differencesComment: 7 pages, 18 figure

    Integral φ

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    This paper establishes a criterion on integral φ0-stability in terms of two measures for impulsive differential equations with “supremum” by using the cone-valued piecewise continuous Lyapunov functions, Razumikhin method, and comparative method. Meantime, an example is given to illustrate our result

    Integral Stability in Terms of Two Measures for Nonlinear Differential Systems with “Maxima”

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    This paper investigates relatively integral stability in terms of two measures for two differential systems with “maxima” by employing Lyapunov functions, Razumikhin method, and comparison principle. An example is given to illustrate our result
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