Carbonate characterization, property simulation and upscaling using microtomography

2013 ◽  
Author(s):  
Jie Liu ◽  
Klaus Regenauer-Lieb ◽  
Reem Freij-Ayoub ◽  
Ben Clennell ◽  
Gerald G. Pereira
Keyword(s):  
Characterization Property

Novel Preparation, Characterization, Property of Lithium Bis(oxalate) Borate

2009 ◽  
Vol 24 (4) ◽  
pp. 808-812
Author(s):  
Jian-Wen LIU ◽  
Xin-Hai LI ◽  
Zhi-Ying WANG ◽  
Hua-Jun GUO ◽  
Qi-Yang HU
Keyword(s):  
Characterization Property

scholarly journals A Dynamic Failure Time Degradation-Based Model

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1532
Author(s):  
Abdulhakim A. Albabtain ◽  
Mansour Shrahili ◽  
Lolwa Alshagrawi ◽  
Mohamed Kayid
Keyword(s):  
Hazard Rate ◽  
Failure Time ◽  
Degradation Process ◽  
Residual Lifetime ◽  
Time To Failure ◽  
Lifetime Distributions ◽  
Mean Residual Lifetime ◽  
Aging Properties ◽  
Degradation Models ◽  
Characterization Property

A novel methodology for modelling time to failure of systems under a degradation process is proposed. Considering the method degradation may have influenced the failure of the system under the setup of the model several implied lifetime distributions are outlined. Hazard rate and mean residual lifetime of the model are obtained and a numerical situation is delineated to calculate their amounts. The problem of modelling the amount of degradation at the failure time is also considered. Two monotonic aging properties of the model is secured and a characterization property of the symmetric degradation models is established.

WAVELET BASED MULTILEVEL BACKPROJECTION ALGORITHM FOR PARALLEL AND FAN BEAM SCANNING GEOMETRIES

2006 ◽  
Vol 04 (03) ◽  
pp. 523-545 ◽  
Author(s):  
CHALLA S. SASTRY ◽  
P. C. DAS
Keyword(s):  
Image Analysis ◽  
Beam Scanning ◽  
Autocorrelation Functions ◽  
Crucial Element ◽  
Orthonormal Wavelets ◽  
Characterization Property ◽  
Normal Sense

In the present work, a new multilevel backprojection procedure for both parallel and fan beam geometries based on 1D MRA wavelet is derived and analyzed. It is based on the characterization property of orthonormal wavelets via their autocorrelation functions. The algorithm does not involve any wavelet-based decomposition in the normal sense, yet it uses a multiresolution formula as a crucial element in a CBP type procedure valid for both the parallel and complex fan beam geometries. The algorithm can be used for wavelet based image analysis.

THE TOTAL TIME ON TEST STATISTICS AND l1-ISOTROPY

2000 ◽  
Vol 07 (02) ◽  
pp. 143-151 ◽  
Author(s):  
YU HAYAKAWA
Keyword(s):  
Order Statistics ◽  
Random Variables ◽  
Test Statistics ◽  
Exponential Random Variables ◽  
Characterization Property ◽  
Mutually Independent ◽  
Special Case

In the literature on the total time on test statistics, it is often assumed that the random variables are mutually independent. It is well known that the scaled total time on test statistics of i.i.d. exponential random variables are the order statistics of independent uniform random variables on (0, 1). We show that this is in fact a characterization property of the l1-isotropic sequence of random variables, which includes the sequence of i.i.d. exponential random variables as a special case.

scholarly journals Traversing the profile of biomimetically nanoengineered iron substituted hydroxyapatite: synthesis, characterization, property evaluation, and drug release modeling

RSC Advances ◽  
2018 ◽  
Vol 8 (35) ◽  
pp. 19389-19401 ◽  
Author(s):  
Lubna Sheikh ◽  
Shivendra Sinha ◽  
Y. N. Singhababu ◽  
Vineeta Verma ◽  
Sucheta Tripathy ◽  
...  
Keyword(s):  
Drug Release ◽  
Green Synthesis ◽  
Hydroxyapatite Nanoparticles ◽  
Property Evaluation ◽  
Characterization Property

Heuristic picture connoting the green synthesis of iron substituted hydroxyapatite nanoparticles having versatile properties.

On a characterization property of finite irreducible Markov chains

1970 ◽  
Vol 7 (3) ◽  
pp. 771-775
Author(s):  
I. V. Basawa
Keyword(s):  
Transition Matrix ◽  
Transition Probabilities ◽  
Homogeneous Markov Chain ◽  
Finite State ◽  
One Step ◽  
Characterization Property ◽  
Step Transition ◽  
The One ◽  
Image Position ◽  
Finite State Space

Let {Xk}, k = 1, 2, ··· be a sequence of random variables forming a homogeneous Markov chain on a finite state-space, S = {1, 2, ···, s}. Xk could be thought of as the state at time k of some physical system for which are the (one-step) transition probabilities. It is assumed that all the states are inter-communicating, so that the transition matrix P = ((pij)) is irreducible.

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