A two-stage fuzzy-stochastic factorial analysis method for characterizing effects of uncertainties in hydrological modelling

2020 ◽  
Vol 65 (12) ◽  
pp. 2057-2071
Author(s):  
Y. R. Liu ◽  
Y. P. Li ◽  
J. Sun
2013 ◽  
Vol 732-733 ◽  
pp. 52-56
Author(s):  
Zhi Guo Wang ◽  
Lei Zhang ◽  
Chai Ling Yin

Cryogenic separation method is the main method to recycle NGL (Natural Gas Liquid). Oilfield two-stage expansion NGL cryogenic separation plant is a complex system composed of varieties of material flow, energy flow and equipments, is a typical distributed energy use system composed of three parts, energy supply, energy use and waste heat recovery. In this paper, according to the process characteristics of two-stage expansion cryogenic separation plant, three-box analysis method was used, the system was compartmentalized into six subsystems, represented the exergy analysis model of system—unit—equipment, given the specific analysis process and the assessment rules for the NGL system. Using the practical operational data, the writers conduct the exergy analysis on the operational working condition of Daqing oilfield NGL system. Based on the calculation results, this paper raises some proposals to improve the operational efficiency, and achieved a good energy saving effect in engineering practice.


Energy ◽  
2020 ◽  
Vol 199 ◽  
pp. 117475 ◽  
Author(s):  
Asam Ahmed ◽  
Setiadi Wicaksono Sutrisno ◽  
Siming You

Author(s):  
JIAN YANG ◽  
JING-YU YANG ◽  
ALEJANDRO F. FRANGI ◽  
DAVID ZHANG

In this paper, a novel image projection analysis method (UIPDA) is first developed for image feature extraction. In contrast to Liu's projection discriminant method, UIPDA has the desirable property that the projected feature vectors are mutually uncorrelated. Also, a new LDA technique called EULDA is presented for further feature extraction. The proposed methods are tested on the ORL and the NUST603 face databases. The experimental results demonstrate that: (i) UIPDA is superior to Liu's projection discriminant method and more efficient than Eigenfaces and Fisherfaces; (ii) EULDA outperforms the existing PCA plus LDA strategy; (iii) UIPDA plus EULDA is a very effective two-stage strategy for image feature extraction.


2020 ◽  
pp. 102603
Author(s):  
M.R. Elkadeem ◽  
Kotb M. Kotb ◽  
Zia Ullah ◽  
Eman G. Atiya ◽  
András Dán ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document