By Zhi-min Li, Xin Xu, Cun-hua Li (auth.), David Jin, Sally Lin (eds.)
This quantity offers the most result of 2011 foreign convention on digital Engineering, conversation and administration (EECM2011) held December 24-25, 2011, Beijing China. The EECM2011 is an built-in convention supplying a worthy chance for researchers, students and scientists to switch their principles nose to nose jointly. the main target of the EECM 2011 and the current 2 volumes “Advances in digital Engineering, verbal exchange and administration” is on energy Engineering, electric engineering purposes, electric machines, in addition to conversation and knowledge platforms Engineering.
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Additional info for Advances in Electronic Engineering, Communication and Management Vol.1: Proceedings of 2011 International Conference on Electronic Engineering, Communication and Management(EECM 2011), held on December 24-25, 2011, Beijing, China
Ontology provides a formal semantic representation of the objects for case representation. Even though automatic ontology learning methods (such as text mining and knowledge extraction significantly support ontology engineers by speeding up their task, there is still the need of a significant manual effort, in the completion, consolidation, and validation of the automatically generated ontology. The triple K=(G,M,I) is called a (formal) context. If A G, B M are arbitrary subsets, then the Galois connection is given by the following derivation operators.
1. The diagram of the adjustable modifying factor fuzzy-PID control system The choice of constant pressure water supply system control policy is according to system's information, and judge between the adjustable modifying factor fuzzy control and the PID control. if the size is in a ） big error range( E > Eb , adopt the adjustable modifying factor fuzzy control so as to raise the dynamic response speed and strengthen the auto-adapted ability; but if in a The Apply of the Adjustable Modifying Factor Fuzzy-PID Control （ 27 ） small error range Ea < E < Eb , adopt the PID control so as to eliminate the static error and improve the control precision.
And as to the latter method, though it takes into account the effect of the changes of the sand quality to the value of the conversion coefficient VCC, it doesn’t take full advantage of the sediment gradation information of the LISST-100X. Therefore, in this paper, the data information of the LISST-100X is fully pursued. By using the LISST-100X, the advantages of sediment gradation can be simultaneously measured. Considering different distribution of the sand quality of each sediment gradation to the sediment concentration, the multiple linear regression method has been proposed to estimate the sediment concentration.