Results 171 to 180 of about 625 (204)

A Novel Deformation Prediction Model for Mine Slope Surface Using Meteorological Factors Based on Kernel Extreme Learning Machine [PDF]

International Journal of Engineering Research in Africa, 2014
Extreme learning machine (ELM), as an emergent technique for training feed-forward neural networks, has shown good performance on various learning domains. This work evaluates the effectiveness of a new Gaussian kernel function-based extreme learning machine (KELM) algorithm for the deformation prediction of mine slope surface utilizing various kinds ...
Sun Wen Du, Jin Zhang, Zeng Bing Deng, Jing Tao Li   +3 more
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Meteorological correction model of IBIS-L System in the Slope Deformation Monitoring

Intelligent Automation and Soft Computing, 2017
AbstractMicro deformation monitoring system (IBIS-L) using high frequency microwave as signal for transmission, is easily affected by meteorology. How to eliminate the meteorological influence effectively, and extract useful information from the big data becomes a key to monitor the slope deformation with high precision by the IBIS-L system. Evaluation
Xiaoqing Zuo, Hongchu Yu, Chenbo Zi, Xiaokun Xu, Wang Liqi, Haibo Liu   +5 more
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A numerical model for large deformation on meteorological images

, 1996
The purpose of non-rigid motion in computer vision is the study of the geometrical deformation that may affect an object during its temporal evolution. One often assumes that this process is local and continuous; it is therefore the case for local geometrical features, which are considered as relevant for studying deformation.
Jean‐Paul Berroir, Isabelle Herlin, Isaac Cohen   +2 more
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Thermal deformation and interfacial separation of a CRTS II slab ballastless track multilayer structure used in high-speed railways based on meteorological data

Construction and Building Materials, 2019
Abstract A refined finite element model (FEM) of a China railway track system CRTS II slab ballastless track structure used in high-speed railways is established based on meteorological data and the track multilayer structural characteristics. Similarly, an analysis method for the thermal deformation and interfacial separation of CRTS II slab ...
Li Song, Hubing Liu, Chenxing Cui, Zhiwu Yu, Zhigang Li   +4 more
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Joint analysis of seismic velocity change, deformation and meteorological data for volcano monitoring

Detection of subtle precursors to forecast the timing and location of eruptive events are one of the main issues in volcanic risk mitigation. Seismic interferometry of ambient noise allows to detect very small change in the medium, but is affected by numerous processes such as strain and meteorological variations that need to be identified and ...
Quentin Dumont, Takeshi Nishimura, Takashi Hirose, Tomoya Takano   +3 more
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Effect of Meteorological Conditions on Tectonic Deformations in Hourly Period Range

Izvestiya, Physics of the Solid Earth, 2021
Г. А. Соболев, N. A. Zakrzhevskaya, I. N. Migunov   +2 more
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Advanced Representative Rail Temperature Measurement Point Considering Rail Deformation by Meteorological Conditions and Rail Orientation

International Journal of Precision Engineering and Manufacturing, 2022
Cheoljeong Park, Jongwon Yoon, Sunguk Hong, Chan Park, Yeondo Jeong, Jungmin Kim, Byeongjun Lee, Haran Lee, Chiwon Song, Seong Jin Cho   +9 more
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Time-series InSAR landslide three-dimensional deformation prediction method considering meteorological time-delay effects

Engineering Geology
Jichao Lv, Rui Zhang, Xin Bao, Renzhe Wu, Ruikai Hong, Xu He, Guoxiang Liu   +6 more
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Deformed polynomials in objective analysis of meteorological fields

pure and applied geophysics, 1974
An attempt is made to use polynomials, deformed by appropriate functions to analyse sparse meteorological data avoiding the misbehaviour of polynomials when data is not abundant. The method is used in restricting conditions when meteorological data is sparse and computer capability limited.
openaire   +2 more sources