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Titlebook: Man–Machine–Environment System Engineering; Proceedings of the 1 Shengzhao Long,Balbir S. Dhillon Conference proceedings 2018 Springer Natu

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樓主: mortality
31#
發(fā)表于 2025-3-26 22:13:10 | 只看該作者
32#
發(fā)表于 2025-3-27 04:01:33 | 只看該作者
Yang Shangs force is converted into interfacial tension. The pendant drop method is a method of applying the curvature radius of the liquid and is often used by many researchers in recent years. The principle and detailed information of evaluating interfacial tension is described in this chapter.
33#
發(fā)表于 2025-3-27 08:09:39 | 只看該作者
34#
發(fā)表于 2025-3-27 13:23:30 | 只看該作者
35#
發(fā)表于 2025-3-27 17:24:45 | 只看該作者
36#
發(fā)表于 2025-3-27 19:49:25 | 只看該作者
Cong Wang,Hongbo Jia,Qi Zhang,Yingjuan Zheng,Minghao Yang,Wei Yong,Muzhe Zhang,Guowei Shif Uncertainty in Measurement (GUM) are discussed. Monte Carlo methods for the derivation of the output distribution from the input distributions are introduced. The Bayesian alternative for calculation of expanded uncertainty is included. A large number of numerical examples is included.
37#
發(fā)表于 2025-3-27 22:29:40 | 只看該作者
Zhaofeng Luo,Honglei Li,Yu Jin,Ruifeng Zhao,Qi Ma,Zhibing Pang,Cheng Jinf Uncertainty in Measurement (GUM) are discussed. Monte Carlo methods for the derivation of the output distribution from the input distributions are introduced. The Bayesian alternative for calculation of expanded uncertainty is included. A large number of numerical examples is included.
38#
發(fā)表于 2025-3-28 05:52:37 | 只看該作者
Hongyan Ou,Guopeng Xiao,Zhibing Pang,Hui Gu,Runfeng Hou,Genhua Qif Uncertainty in Measurement (GUM) are discussed. Monte Carlo methods for the derivation of the output distribution from the input distributions are introduced. The Bayesian alternative for calculation of expanded uncertainty is included. A large number of numerical examples is included.
39#
發(fā)表于 2025-3-28 09:58:55 | 只看該作者
40#
發(fā)表于 2025-3-28 13:03:54 | 只看該作者
Zhili Tang,Shan Li,Yanglong Douditional questions and answers via app: Download the Springer Nature Flashcards app free of charge and use exclusive additional material to test your knowledge..978-981-99-1282-7978-981-99-1280-3Series ISSN 2948-1856 Series E-ISSN 2948-1864
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