客车车内噪声是评价乘车舒适性的一项重要指标，因此，对客车车内噪声的控制也逐渐引起各生产厂家的重视。
The noise inside the coach is an important index to appraise the coach comfort , therefore , the coach manufacturers have more concerns about the control of noise .
本文综合地评述了眼装热湿舒适性的测试方法和评价指标。
This paper deals with the testing methods and evaluation indexes of clothing wetness and heat comfort.
汽车的噪声不仅是影响其舒适性指标的重要因素，而且也是评价其质量品质的重要指标之一。
The noise in vehicles is not only important factor of influencing its comfort index but also one of important index of evaluating its quality.
对于安全性和舒适性的评价，两个定量的标准是脱轨系数和平稳性指标。
Derail coefficient and ride quality are two quantitative standards for evaluating safety and comfort of train.
行车安全舒适性是道路评价的重要指标，而道路结构又是安全舒适性的重要影响因素。
And the road structure is one of the most influencing factors of traffic safety and riding comfort.
基于合理的列车走行性评价指标，对货物列车和高速客车通过该桥时的走行安全性与舒适性进行了分析，探讨了大跨度公铁两用斜拉桥用于货物列车和高速客车混行的可行性。
Based on the reasonable train runability evaluations, the train running safety and passenger riding comfort with freight trains and high-speed trains across the bridge were especially studied.
暖体假人是研究服装舒适性的一个重要设备，表面空气隔热值是评价其性能的主要指标之一。
Thermal manikin is an important equipment of the research of clothing comfort. The insulating value of surface of the manikin is a main index for evaluating the property of the manikin.
描述了这些生理指标的测试、计算方法以及有关测试仪器。从而为全面研究服装的舒适性与功能提供了可靠的生理学评价手段。
Their measurement, calculation and measuring apparatus are introduced. Theevaluation methods of physiology are provided for comprehensive research of clothing com-forts and function.
近几年来，低噪声已经成为乘坐舒适性的一部分，与动力性、经济性和排放性一起成为了评价汽车品质的重要指标。
In recent years, low noise has become a part of riding comfort and an important parameter in evaluating vehicle quality with power performance, fuel economic and emission.
乘坐舒适性的评价指标为乘坐质量沿铅垂方向的稳态高斯随机振动过程的加速度均方根值，并以人体的频率敏感性作为权因子。
Opti-mal comfort is defined as a minimum root mean square value of a stationary Gaussian random process weighted with respect to human sensitivity.
乘坐舒适性的评价指标为乘坐质量沿铅垂方向的稳态高斯随机振动过程的加速度均方根值，并以人体的频率敏感性作为权因子。
Opti-mal comfort is defined as a minimum root mean square value of a stationary Gaussian random process weighted with respect to human sensitivity.
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