Demonstration of Improved Quantitative Mobility Spectrum Analysis (i-QMSA)

1997 ◽  
Vol 490 ◽  
Author(s):  
I. Vurgaftman ◽  
J. R. Meyer ◽  
C. A. Hoffman ◽  
D. Redfern ◽  
J. Antoszewski ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Real Data ◽  
Semiconductor Materials ◽  
Data Sets ◽  
Mobility Spectrum ◽  
Data Set ◽  
Standard Tool ◽  
Field Dependent ◽  
Quantitative Mobility Spectrum Analysis

ABSTRACTWe discuss an improved quantitative mobility spectrum analysis (i-QMSA) of magnetic-field-dependent Hall and resistivity data, which can determine multiple electron and hole densities and mobilities. A fully automated computer implementation of i-QMSA is applied to a variety of synthetic and real data sets. The results show that the new algorithm increases the information available from a given data set and is suitable for use as a standard tool in the characterization of semiconductor materials and devices.

Quantitative mobility spectrum analysis (QMSA) for hall characterization of electrons and holes in anisotropic bands

1999 ◽  
Vol 28 (5) ◽  
pp. 548-552 ◽  
Author(s):  
I. Vurgaftman ◽  
J. R. Meyer ◽  
C. A. Hoffman ◽  
S. Cho ◽  
J. B. Ketterson ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Mobility Spectrum ◽  
Quantitative Mobility Spectrum Analysis

Advanced magneto-transport characterization of LPE-grown Hg1-xCdx Te by quantitative mobility spectrum analysis

1996 ◽  
Vol 25 (8) ◽  
pp. 1157-1164 ◽  
Author(s):  
J. R. Meyer ◽  
C. A. Hoffman ◽  
F. J. Bartoli ◽  
J. Antoszewski ◽  
L. Faraone ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Mobility Spectrum ◽  
Quantitative Mobility Spectrum Analysis

scholarly journals Electronic transport characterization of AlGaN∕GaN heterostructures using quantitative mobility spectrum analysis

2007 ◽  
Vol 91 (10) ◽  
pp. 102113 ◽  
Author(s):  
S. B. Lisesivdin ◽  
A. Yildiz ◽  
S. Acar ◽  
M. Kasap ◽  
S. Ozcelik ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Electronic Transport ◽  
Mobility Spectrum ◽  
Quantitative Mobility Spectrum Analysis

A Support Based Initialization Algorithm for Categorical Data Clustering

2018 ◽  
Vol 11 (2) ◽  
pp. 53-67
Author(s):  
Ajay Kumar ◽  
Shishir Kumar
Keyword(s):  
Categorical Data ◽  
Selection Process ◽  
Numerical Data ◽  
Real Data ◽  
Data Sets ◽  
Data Set ◽  
Data Object ◽  
Data Points ◽  
Wu Method ◽  
Selection Algorithms

Several initial center selection algorithms are proposed in the literature for numerical data, but the values of the categorical data are unordered so, these methods are not applicable to a categorical data set. This article investigates the initial center selection process for the categorical data and after that present a new support based initial center selection algorithm. The proposed algorithm measures the weight of unique data points of an attribute with the help of support and then integrates these weights along the rows, to get the support of every row. Further, a data object having the largest support is chosen as an initial center followed by finding other centers that are at the greatest distance from the initially selected center. The quality of the proposed algorithm is compared with the random initial center selection method, Cao's method, Wu method and the method introduced by Khan and Ahmad. Experimental analysis on real data sets shows the effectiveness of the proposed algorithm.

Evidence of different conduction channels in bulk ZnO using f-MEMSA Analysis of transport properties

2007 ◽  
Vol 1035 ◽  
Author(s):  
Celine Tavares Chevalier ◽  
J. Rothman ◽  
G. Feuillet
Keyword(s):  
Electrical Properties ◽  
Transport Properties ◽  
Spectrum Analysis ◽  
Bulk Material ◽  
Mobility Spectrum ◽  
Annealing Conditions ◽  
Conductive Channel ◽  
Hall Effect Measurements ◽  
Heteroepitaxial Layers

AbstractThe characterization of transport properties in Zn0 is known to be challenging, particularly due to surface (in the case of bulk) or interface (in the case of heteroepitaxial layers) conduction channels, which puts severe limitations on the interpretation of Hall Effect measurements. In this communication, we report on the study of transport properties of n-type ZnO bulk material using Hall mobility spectrum analysis estimated through the algorithm known as full Maximum Entropy Mobility Spectrum Analysis, f-MEMSA. The electrical properties of bulk Zn0 are measured using a Hall setup for applied magnetic fields µ0H in the range 0T-9T and for temperatures between 50K and 400K. The f-MEMSA analysis highlights the existence of two types of conduction channels in the considered ZnO substrate. We also show that surface conductive channel can be suppressed using appropriate annealing conditions.

scholarly journals Extended Odd Fréchet-G Family of Distributions

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Suleman Nasiru
Keyword(s):  
Maximum Likelihood Method ◽  
Real Data ◽  
Likelihood Method ◽  
Data Sets ◽  
Data Set ◽  
New Class ◽  
New Family ◽  
Rate Functions ◽  
The Given ◽  
Family Of Distributions

The need to develop generalizations of existing statistical distributions to make them more flexible in modeling real data sets is vital in parametric statistical modeling and inference. Thus, this study develops a new class of distributions called the extended odd Fréchet family of distributions for modifying existing standard distributions. Two special models named the extended odd Fréchet Nadarajah-Haghighi and extended odd Fréchet Weibull distributions are proposed using the developed family. The densities and the hazard rate functions of the two special distributions exhibit different kinds of monotonic and nonmonotonic shapes. The maximum likelihood method is used to develop estimators for the parameters of the new class of distributions. The application of the special distributions is illustrated by means of a real data set. The results revealed that the special distributions developed from the new family can provide reasonable parametric fit to the given data set compared to other existing distributions.

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