HOME      EDITORIAL STAFF     ARTICLE  TEMPLATE      PUBLICATION  ETHICS  STATEMENT    ARCHIVE    CONTACT

 

 

 

 

 

 

 

RT&A 2019, # 2(53) Vol.14


 

Farhadzadeh E.M., Muradaliyev A.Z., Ismailova S.M., Yusifli R.F.

 

Computer Technology of Formation Control Samples of Fire Safety Rules of Objects Electro Power Systems

  

The safety of electrical power system facilities is one of the most important characteristics of operational efficiency. The importance of safety is shown, first of all, that their discrepancy to shown requirements results not only in the big material damage, but also to infringement of ecology, a traumatism and destruction of the personnel serving object. Increase of efficiency of the control and the analysis of execution of Safety rules can be reached on the basis of computer technologies, by transition from the qualitative characteristic of safety to quantitative. The initial stage of increase of safety of objects of electro power systems is transition to modelling control samples Fire Safety rules, to a substantiation of volume samples and to documentary acknowledgement of execution of Safety rules.

 

DOI: https://doi.org/10.24411/1932-2321-2019-12001

 

 

Boyan Dimitrov

 

Events Dependence Used in Reliability Speaks More to Know. Modeling Competing Risks

 

In this article we show how some known to us measures of dependence between random events can be easily transferred into measures of local dependence between random variables. This enables everyone to see and visually evaluate the local dependence between uncertain units on every region of their particular values. We believe that the true value of the use of such dependences is in applications on non-numeric variables, as well as in finances and risk studies. We also trust that our approach may give a serious push into the microscopic analysis of the pictures of dependences offered in big data. Numeric and graphical examples should confirm the beauty, simplicity and the utility of this approach, especially in reliability models.

 

DOI: https://doi.org/10.24411/1932-2321-2019-12002

 

 

Rajesh Dangwal, Kapil Naithani

 

Defuzzification of Healthcare Related Problem by Using Intervalued Trapezoidal Fuzzy Numbers and Their Functional

 

In healthcare related problems there exist some medical error due to involvement of human errors and technologies error. In general the available data is not sufficient to assess the clinical process. This study uses level  intervalued trapezoidal fuzzy numbers and their functional to evaluate the estimate reliability of system in the fuzzy sense, In this paper we uses fault tree diagram of the mixed system (series and parallel system) and we change their crisp probability to trapezoidal fuzzy number and a new approach of functional of fuzzy number has developed and Computed results have been compared with results obtained from other existing techniques.

 

DOI: https://doi.org/10.24411/1932-2321-2019-12003

 

 

Y. Sarada, R. Shenbagam

 

On Warranty Cost Analysis For a Software Reliability Model Via Phase Type Distribution

 

This research work investigates an optimal software release problem via phase type distribution, warranty and risk cost analysis. The inter arrival time of software failure is assumed to be a phase type distribution. The PH-SRM is one of the most flexible models, which overarches the existing non-homogeneous Poisson process (NHPP) models, and can approximate any type of NHPP-based models with high accuracy. Based on the phase type Non- homogeneous Poisson Process (PHNHPP) formulation and using the renewal reward theorem, the long run average cost rate is obtained. As model parameter estimation is an important issue in developing software reliability models, the software failure parameter has been estimated by the moment matching method. Finally, a numerical example is provided to illustrate the theoretical results therein.

 

DOI: https://doi.org/10.24411/1932-2321-2019-12004

 

 

Rama Shanker, Kamlesh Kumar Shukla

 

A Generalization Of Weibull Distribution

  

In this paper, a generalization of Weibull distribution (GWD), which includes Weibull and exponential distributions as special cases, has been proposed and investigated. Its moments, hazard rate function and stochastic ordering have been discussed. The method of maximum likelihood estimation has been discussed for estimating its parameters. The goodness of fit of the proposed distribution has been discussed with a real lifetime dataset and the fit has been found quite satisfactory over some well-known lifetime distributions.

 

DOI: https://doi.org/10.24411/1932-2321-2019-12005

 

 

Gaurav Kumar Srivastava, Dr. Santosh Kumar, Dr. Himanshu Pandey

 

Modelling of an Offline and Online Software for Normalization of Microarray Data of Gene Expression by Perl, Bioperl and PerlTk and Perl-CGI

 

B-Chip Reverence is an online database which isfreely accessible for microarray redundancy removal & normalizationand various data analysis techniques are applied on the data. This software accurately handle the massive amount of data.The growing use of DNA microarrays in biomedical research has led to the proliferation of analysis tools. These software programs address different aspects of analysis (e.g. normalization and clustering within and across individual arrays) as well as extended analysis methods (e.g. clustering, annotation and mining of multiple datasets).After studying all the terms and problems related to Microarray technique, we tried to make an-open and user friendly software to deal with all the problems and to run all the steps of this technique, so that we used Perl & Perl-cgi. perl-cgi stands for Common Gateway Interface, is a standard programming interface between Web servers and external programs. perl-cgi executes external programs on the webserver.

  

DOI: https://doi.org/10.24411/1932-2321-2019-12006


 

Jagdatta Singh, Gaurav Kumar Srivastava, Himanshu Pandey

 

Moving Video Camera Vigilance Using DBSCAN

 

The author is trying to develop a model for dynamic or moving video camera vigilance using Density Based Clustering and location sensors. The authors try to exploit the rich functionality exposed by the machine learning paradigm in which the stochastic environment to learn is depicted as a two dimensional graph where the position of an object can be given by its coordinates. The author uses DBSCAN algorithm along with sensor enabled test ground area that keeps the X and Y co-ordinates of the moving objects. The idea here is to capture continuous video of the densest cluster of objects moving together. One practical usage of such system is a wild landscape where groups of animals are moving together to some destination. There will be a somewhat unorganized haphazard movement but we intend to capture only those animals that are greater in number as a group and the camera should move picturing them. This can be achieved by the DBSCAN algorithm 

 

DOI: https://doi.org/10.24411/1932-2321-2019-12007

 

 

G.Ayyappan, R.Gowthami

 

Analysis of MAP/PH/1 retrial queue with constant retrial rate, Bernoulli schedule vacation, Bernoulli feedback, breakdown and Repair

 

A retrial queueing model in which the inter arrival times follow Markovian Arrival Process (MAP) and the service times follow phase type distribution is studied. At the end of receiving the service, the customer has two options namely, either he may go to orbit with probability  to get the service again, if he is not satisfied or with probability , he may depart the system. Similarly, at the end of providing service, the server can either opt to take vacation with probability  or be idle with probability . During the busy period, the server may experience breakdown. Both the breakdown times and repair times of the server follow exponential distribution with parameter  and  respectively. The resulting QBD process is analysed in the steady state by employing matrix analytic method. The busy period analysis of our model has also been done. Finally, the numerical and graphical illustration of our model has been given.

 

DOI: https://doi.org/10.24411/1932-2321-2019-12008

 

.

Copyright © 2006-2019, Alexander Bochkov. All rights reserved