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Journal of Modern Mathematics Frontier
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  This is an Open Access Journal Open Access journal
     ISSN (Print) 2227-3743 - ISSN (Online) 2227-3751
     Published by Science and Engineering Publishing Company Homepage  [46 journals]
  • Numerical Determination of Schottky Barrier Height of Nickel/n-Type
           Gallium Nitride Diodes Formed on Free-standing Substrates

    • Abstract: Numerical Determination of Schottky Barrier Height of Nickel/n-Type Gallium Nitride Diodes Formed on Free-standing Substrates
      Pages 29-33
      Author Kazuhiro MochizukiAkihisa TeranoTakashi IshigakiTomonobu TsuchiyaTomoyoshi MishimaNaoki Kaned
      To validate the condition for applying thermionic emission (TE) theory when depletion-layer width is larger than carrier mean free path, Schottky barrier height qΦB of reported nickel/n-type gallium-nitride diodes was numerically determined. The forward-current/voltage characteristics of diodes on free-standing substrates were precisely reproduced by qΦB of 0.98 eV. Although this qΦB is consistent with the reported value (0.99 eV) determined from capacitance-voltage measurement, it is 0.05 eV higher than the reported value (0.93 eV) determined from TE theory. This discrepancy indicates that qΦB of GaN Schottky barrier diodes needs to be determined not by analytically but by numerically fitting the experimental data.
      PubDate: 2014-06
       
  • Mitigating Software Maintenance Project Risks with Stepwise Regression
           Analysis Techniques

    • Abstract: Mitigating Software Maintenance Project Risks with Stepwise Regression Analysis Techniques
      Pages 34-44
      Author Abdelrafe ElzamlyBurairah Hussi
      The aim of this paper is to present new statistical techniques –namely, the stepwise multiple regression analysis techniques and Durbin Watson techniques to reduce software maintenance risks in a software projects. However, these statistical measures would be performed using stepwise multiple regression analysis and Durbin Watson statistic techniques to compare the risk management techniques to each of the software maintenance risk factors to identify if they are effective in reducing the occurrence of each software maintenance risk factor and selecting the best model. Also ten top software maintenance risk factors were mitigated by using risk management techniques in Table 24. The study has been conducted on a group of software project managers. The success of software project risk management will greatly improve the probability of software project success.
      PubDate: 2014-06
       
 
 
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