scholarly journals Boundary determination of foot ulcer images by applying the associative hierarchical random field framework

2019 ◽  
Vol 6 (02) ◽  
pp. 1
Author(s):  
Lei Wang ◽  
Peder C. Pedersen ◽  
Emmanuel Agu ◽  
Diane Strong ◽  
Bengisu Tulu
Keyword(s):  
Random Field ◽  
Foot Ulcer ◽  
Boundary Determination

scholarly journals Interaction Boundary Determination of Renewable Energy Sources to Estimate System Strength Using the Power Flow Tracing Strategy

2021 ◽  
Vol 13 (3) ◽  
pp. 1569
Author(s):  
Namki Choi ◽  
Byongjun Lee ◽  
Dohyuk Kim ◽  
Suchul Nam
Keyword(s):  
Renewable Energy ◽  
Power Flow ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Test Results ◽  
Boundary Determination ◽  
Actual Interaction ◽  
Power Flow Tracing ◽  
Estimate System

System strength is an important concept in the integration of renewable energy sources (RESs). However, evaluating system strength is becoming more ambiguous due to the interaction of RESs. This paper proposes a novel scheme to define the actual interaction boundaries of RESs using the power flow tracing strategy. Based on the proposed method, the interaction boundaries of RESs were identified at the southwest side of Korea Electric Power Corporation (KEPCO) systems. The test results show that the proposed approach always provides the identical interaction boundaries of RESs in KEPCO systems, compared to the Electric Reliability Council of Texas (ERCOT) method. The consistent boundaries could be a guideline for power-system planners to assess more accurate system strength, considering the actual interactions of the RESs.

Osmotic Pressure and Phase Boundary Determination of Multiphase Systems by Analytical Ultracentrifugation

ChemPhysChem ◽  
2008 ◽  
Vol 9 (6) ◽  
pp. 882-890 ◽  
Author(s):  
Miles G. Page ◽  
Thomas Zemb ◽  
Monique Dubois ◽  
Helmut Cölfen
Keyword(s):  
Phase Boundary ◽  
Osmotic Pressure ◽  
Analytical Ultracentrifugation ◽  
Boundary Determination ◽  
Multiphase Systems

scholarly journals CPT-Based Probabilistic Characterization of Undrained Shear Strength of Clay

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Mi Tian ◽  
Xiaotao Sheng
Keyword(s):  
Shear Strength ◽  
Correlation Function ◽  
Random Field ◽  
Site Investigation ◽  
Undrained Shear Strength ◽  
Bayesian Approaches ◽  
Probabilistic Characterization ◽  
Undrained Shear

Applying random field theory involves two important issues: the statistical homogeneity (or stationarity) and determination of random field parameters and correlation function. However, the profiles of soil properties are typically assumed to be statistically homogeneous or stationary without rigorous statistical verification. It is also a challenging task to simultaneously determine random field parameters and the correlation function due to a limited amount of direct test data and various uncertainties (e.g., transformation uncertainties) arising during site investigation. This paper presents Bayesian approaches for probabilistic characterization of undrained shear strength using cone penetration test (CPT) data and prior information. Homogeneous soil units are first identified using CPT data and subsequently assessed for weak stationarity by the modified Bartlett test to reject the null hypothesis of stationarity. Then, Bayesian approaches are developed to determine the random field parameters and simultaneously select the most probable correlation function among a pool of candidate correlation functions within the identified statistically homogeneous layers. The proposed approaches are illustrated using CPT data at a clay site in Shanghai, China. It is shown that Bayesian approaches provide a rational tool for proper determination of random field model for probabilistic characterization of undrained shear strength with consideration of transformation uncertainty.

The horizon problem for random surfaces

1991 ◽  
Vol 109 (1) ◽  
pp. 211-219 ◽  
Author(s):  
K. J. Falconer
Keyword(s):  
Computer Simulation ◽  
Stochastic Processes ◽  
Random Field ◽  
Random Fields ◽  
Sample Function ◽  
Gaussian Fields ◽  
Random Surfaces ◽  
Horizon Problem ◽  
Typical Sample

Computer simulation of landscapes and skylines has recently attracted a great deal of interest: see [6, 7]. Specification of a ‘landscape’ requires a function f: D → ℝ on a subset D of ℝ2, selected so that the apparent irregularity and randomness of the surface {(t,f(t)): t ∈ D} corresponds to what might be observed in nature. It is natural to look to random fields (that is, stochastic processes in two variables), and in particular to Gaussian fields, for functions with such properties. Even when an appropriate random field has been selected, determination of a typical sample function is far from easy [7].

scholarly journals Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification

2017 ◽  
Vol 64 (9) ◽  
pp. 2098-2109 ◽  
Author(s):  
Lei Wang ◽  
Peder C. Pedersen ◽  
Emmanuel Agu ◽  
Diane M. Strong ◽  
Bengisu Tulu
Keyword(s):  
Diabetic Foot ◽  
Foot Ulcer ◽  
Diabetic Foot Ulcer ◽  
Two Stage ◽  
Area Determination

Determination of contact deformation in flat junctions by the random field method

Wear ◽  
1988 ◽  
Vol 127 (1) ◽  
pp. 53-63
Author(s):  
N.K. Myshkin ◽  
N.F. Semeniuk ◽  
G.S. Kalda
Keyword(s):  
Random Field ◽  
Field Method ◽  
Contact Deformation
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