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Our methodology in this paper broadly consists of the following three steps: model description, parameter estimation, and model validation.
Five aspects, including fine geological description, parameter optimization of reservoir engineering, optimization of production and injection program, horizontal well trajectory control, and energy supplement are researched on horizontal well reservoir engineering optimization design.
a Defect A. b Defect B. c Defect C. Because of the complex shape of rail surface defect, the single feature description parameter cannot describe the defect exactly and comprehensively.
Open image in new window Fig. 4 Top-page IRMS Table 1 Model and simulation parameters Model parameters Simulation parameters Component Description Parameter Value Zone controller Central controller responsible for both station section(s) and block section(s) Area under ZC (one block section considered under one ZC) 50 km Block section Section between two station sections.
Table 1 Explanation of adopted abbreviations Parameter Description Parameter Description s_p Silent pause f29 f_p(m) per minute f_p y) Filled pause "yyy" f30%% of f_p(m) time in recording f_p(m) Filled pause "mmm" f31 mean f_p(m) duration [ms] b_p Breath pause f32 f_p(m) duration std.
Table 1 List of articulatory target parameters of VocalTractLab Parameter Description Parameter Description HX, HY Hyoid positions VO Velic opening JX Horizontal jaw position TTX, TTY Tongue tip positions JA Jaw angle TBX, TBY Tongue blade positions LP Lip protrusion TCX, TCY Tongue body positions LD Lip distance TS1-TS4 Tongue side elevation 1-4 Velumlum shape .
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The description parameters of the defect features are shown in Table 1.
Their description parameters are derived from input and output modulation signals processed in Cartesian form.
We set the individual description parameters according to the values in published data, and allow population heterogeneity.
Regarding the description parameters that should be selected for CBIR tasks, and although they are heavily subject to the images involved, we confirmed that quantized, compact representations of image features allow for better retrieval performances.
In particular, the internal node degrees of freedom of spline cable elements are reduced, which results in that only the independent description parameters of the nodes connected to the pulleys are included in the final governing dynamic equations.
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