Characterization of fracture corridors from digital outcrop by combining automatic detection approaches with field analysis

2017 ◽  
Author(s):  
J. Lamarche ◽  
S. Viseur ◽  
S. Chatalée ◽  
N. Bachtarzi ◽  
J. Fleury
Keyword(s):  
Automatic Detection ◽  
Field Analysis ◽  
Digital Outcrop

scholarly journals Automatic detection and characterization of seismic tremors in northern Cascadia

2007 ◽  
Vol 34 (16) ◽  
Author(s):  
Honn Kao ◽  
Philip J. Thompson ◽  
Garry Rogers ◽  
Herb Dragert ◽  
George Spence
Keyword(s):  
Automatic Detection

scholarly journals Automated detection and characterization of Antarctic basal units using radar sounding data: demonstration in Institute Ice Stream, West Antarctica

2020 ◽  
Vol 61 (81) ◽  
pp. 242-248 ◽  
Author(s):  
Madison L. Goldberg ◽  
Dustin M. Schroeder ◽  
Davide Castelletti ◽  
Elisa Mantelli ◽  
Neil Ross ◽  
...  
Keyword(s):  
Conceptual Framework ◽  
Ice Sheet ◽  
Automatic Detection ◽  
Automated Detection ◽  
Observational Constraints ◽  
West Antarctica ◽  
Sheet Surface ◽  
Unknown Composition ◽  
Insight Into

AbstractBasal units – visibly distinct englacial structures near the ice-bed interface – warrant investigation for a number of reasons. Many are of unknown composition and origin, characteristics that could provide substantial insight into subglacial processes and ice-sheet history. Their significance, moreover, is not limited to near-bed depths; these units appear to dramatically influence the flow of surrounding ice. In order to enable improved characterization of these features, we develop and apply an algorithm that allows for the automatic detection of basal units. We use a tunable layer-optimized SAR processor to distinguish these structures from the bed, isochronous englacial layers and the ice-sheet surface, presenting a conceptual framework for the use of radio-echo character in the identification of ice-sheet features. We also outline a method by which our processor could be used to place observational constraints on basal units’ configuration, composition and provenance.

scholarly journals Quantitative Characterization of Steady-State Ankle Impedance With Muscle Activation

2010 ◽  
Author(s):  
Hyunglae Lee ◽  
Patrick Ho ◽  
Mohammad A. Rastgaar ◽  
Hermano Igo Krebs ◽  
Neville Hogan
Keyword(s):  
Steady State ◽  
Vector Field ◽  
Degrees Of Freedom ◽  
Muscle Activation ◽  
Human Subjects ◽  
Mechanical Impedance ◽  
Field Analysis ◽  
Lower Extremity Function ◽  
Ankle Impedance

Characterization of multi-variable ankle mechanical impedance is crucial to understanding how the ankle supports lower-extremity function during interaction with the environment. This paper reports quantification of steady-state ankle impedance when muscles were active. Vector field approximation of repetitive measurements of the torque-angle relation in two degrees of freedom (inversion/eversion and dorsiflexion/plantarflexion) enabled assessment of spring-like and non-spring-like components. Experimental results of eight human subjects showed direction-dependent ankle impedance with greater magnitude than when muscles were relaxed. In addition, vector field analysis demonstrated a non-spring-like behavior when muscles were active, although this phenomenon was subtle in the unimpaired young subjects we studied.

scholarly journals FDIR for the IMU Component of AOCS Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Maurício N. Pontuschka ◽  
Ijar M. da Fonseca
Keyword(s):  
Automatic Detection ◽  
Fault Identification ◽  
Space Applications ◽  
Tetrahedral Configuration ◽  
Orbit Control ◽  
Definition Of ◽  
And Control ◽  
Control Division ◽  
Good Agreement

The main objective of this paper is the study of a FDIR for an IMU aiming at space applications with focus on the gyro signal analysis and the tests of the filtering algorithms. The algorithms have been tested by using lab data provided by the DMC LABSIM (Physical’s Simulation Laboratory of the Space Mechanics and Control Division of INPE). The results have demonstrated good agreement with the concepts applied in this study. Automatic detection procedures are very important in the characterization of occurrence, definition of criteria, and device types in the scenario of AOCS FDIR. An IMU comprised of four gyros in a tetrahedral configuration is one of the assumed components for the AOCS (attitude and orbit control subsystem) considered in this work. The types of failures considered in this paper are the step abrupt change, ramp/drift/slow, stuck, cyclic, erratic, spike, and finally the stuck for variance alteration noise. An appropriate algorithm for the automatic detection of each type of fault is developed. The approach includes the mapping capability of fault event indicators to the IMU. This mapping is very important in the characterization of the occurrence, definition of criteria, and device types as well as associated fault identification for an AOCS.

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