首页> 外文会议>International Congress on Sound and Vibration >MUTUAL CORRELATION EFFECT OF STOCHASTIC TYPE BETWEEN TWO FACTORS AMONG SOUND, ILLUMINANCE AND ELLECTROMAGNETIC WAVES LEAKED FROM A VDT ENVIRONMENT
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MUTUAL CORRELATION EFFECT OF STOCHASTIC TYPE BETWEEN TWO FACTORS AMONG SOUND, ILLUMINANCE AND ELLECTROMAGNETIC WAVES LEAKED FROM A VDT ENVIRONMENT

机译:VDT环境泄漏了两个因素与VDT环境中的两个因素之间的互相关效果

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Up to now, many researches have been reported to the wave motion type (sound, light and electromagnetic wave) environment but many of them have been discussed in an individually separate form. For evaluating their effect in some mutual and/or a whole form, it is important to analyze at least stochastically their correlative effect between two factors among them. In this paper, a new method for finding minutely and hierarchically their mutual correlation information is proposed based on a generallized regression analysis applicable to non-Gaussian type random fluctuation. More concretely, first, the joint probability distribution of two-variate fluctuation factors is expressed in a statistical type Hermite series expansion form. By using this probability expression, to reflect various linear and/or nonlinear types of mutual correlation information between two random variables, a general expression of conditional probability distribution can be derived and then an extended regression function reflecting hierarchically not only the lower order correlation information but also the higher order mutual correlation information is concretely obtained. Moreover, by employing this conditional probability expression including the higher order correlation information, a whole probability distribution form of individually separated factors can be explicitly estimated each other. Finally, the proposed method has been confirmed by applying it to the sound, light and electromagnetic waves leaked from VDT under playing the game on a personal computer.
机译:到目前为止,已经向波运动类型(声音,光线和电磁波)环境报告了许多研究,但是它们中的许多是以单独分离的形式讨论的。为了评估它们在一些相互和/或全形式中的效果,重要的是至少将它们之间的两个因素之间的相关效果分析。本文基于适用于非高斯型随机波动的通用回归分析,提出了一种微小和分层上的互相关信息的新方法。更具体地说,首先,以统计型Hermite系列膨胀形式表达两变波动因子的联合概率分布。通过使用该概率表达式来反映两个随机变量之间的各种线性和/或非线性类型的相互关联信息,可以导出条件概率分布的一般表达,然后是分层地反映的扩展回归函数,而不是较低的相关信息但是具体地获得较高的互相相关信息。此外,通过采用包括高阶相关信息的条件概率表达,可以彼此明确地估计单独分离的因子的整个概率分布形式。最后,通过将游戏泄漏到个人计算机上的VDT泄漏的声音,光线和电磁波来证实了所提出的方法。

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