ORIGINAL_ARTICLE
MATHEMATICAL ANALYSIS OF NEWLY DESIGNED TWO POROUS LAYERS SLIDER BEARING WITH A CONVEX PAD UPPER SURFACE CONSIDERING SLIP AND SQUEEZE VELOCITY USING FERROFLUID LUBRICANT
This paper proposes mathematical modeling and analysis of ferrofluid lubricated newly designed slider bearing having convex pad (surface or plate) stator with two porous layers attached to the slider. The problem considers the effect of slip velocity proposed by Sparrow et. al.[1] and modified by Shah et. al.[2] at the film-porous interface. The squeeze velocity V=−which appears when the upper impermeable plate approach to the lower one, is also considered here for study. The magnetic field is assumed to be oblique to the lower plate. From the Reynolds’s equation of the above model, expressions for dimensionless form of pressure and load carrying capacity are obtained. The expression for the dimensionless load carrying capacity is then solved numerically to examine its possible effect on the designed bearing system
http://ijm2c.iauctb.ac.ir/article_521853_f1bca9b4042f898412e7c334ff5d6cb9.pdf
2014-03-21T11:23:20
2018-01-21T11:23:20
93
101
Ferrofluid
Squeeze velocity
Porosity
Lubrication
Slip Velocity
Convex bearing
Rajesh
Shah
true
1
AUTHOR
Ramesh C.
Kataria
true
2
AUTHOR
ORIGINAL_ARTICLE
SOLVING BLASIUS EQUATION USING IMPERIALIST COMPETITIVE ALGORITHM
In this study, a new approach isintroduced to solve Blasius differential equation using of ImperialistCompetitive Algorithm (ICA). This algorithm is inspired by competitionmechanism among Imperialists and colonies and has demonstrated excellent capabilitiessuch as simplicity, accuracy, faster convergence and better global optimumachievement in contrast to other evolutionary algorithms. The obtained results havebeen compared with the exact solution of Blasius equation and another resultobtained in previous works and showhigher accuracy and less computational requirements. Inaddition, the method presented with details can beeasily extended to solve a wide range of nonlinear problems.
http://ijm2c.iauctb.ac.ir/article_521854_dadd648e7b67f44c8e34556c9040bb5a.pdf
2014-03-21T11:23:20
2018-01-21T11:23:20
103
114
Hossein
Towsyfyan
true
1
AUTHOR
ORIGINAL_ARTICLE
THE COMPARISON OF TWO METHOD NONPARAMETRIC APPROACH ON SMALL AREA ESTIMATION (CASE: APPROACH WITH KERNEL METHODS AND LOCAL POLYNOMIAL REGRESSION)
Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes. Small area estimation is needed in obtaining information on a small area, such as sub-district or village. Generally, in some cases, small area estimation uses parametric modeling. But in fact, a lot of models have no linear relationship between the small area average and the covariate. This problem requires a non-parametric approach to solve, such asKernel approach and Local Polynomial Regression (LPR). The purpose of this study is comparing the results of small area estimation using Kernel approach and LPR. Data used in this study are generated by simulation results using R language . Simulation data obtained by generating function m (x) are linear and quadratic pattern. The criteria used to compare the results of the simulation are Absolute Relative Bias (ARB), Mean Square Error (MSE), Generalized Cross Validation (GCV), and risk factors. The simulation results showed: 1) Kernel gives smaller relative bias than LPR does on both linear and quadratic data pattern. The relative bias obtained by Kernel tends to be more stable and consistent than the relative bias resulted by LPR, (2) the Kernel MSE is smaller than the LPR MSE either on linear or quadratic pattern in any combination treatment, (3) the value of GCV and the risk factors in Kernel are smaller than these in LPR in any combination of the simulated data patterns, (4) on non parametric data, for both linear data pattern and quadratic data pattern, Kernel methods provide better estimation compared to LPR.
http://ijm2c.iauctb.ac.ir/article_521855_c95b7c0bf41552e40bb3eb23acaf8817.pdf
2014-03-21T11:23:20
2018-01-21T11:23:20
115
123
Dewi
Ratnaningsih
true
1
Indonesia
Indonesia
Indonesia
AUTHOR
ORIGINAL_ARTICLE
CONSTANT STRESS ACCELERATED LIFE TESTING DESIGNWITH TYPE-II CENSORING SCHEME FOR PARETO DISTRIBUTION USING GEOMETRIC PROCESS
In many of the studies concerning Accelerated life testing (ALT), the log linear function between life and stress which is just a simple re-parameterization of the original parameter of the life distribution is used to obtain the estimates of original parameters but from the statistical point of view, it is preferable to work with the original parameters instead of developing inferences for the parameters of the log-linear link function. In this paper the geometric process is used to estimate the parameters of Pareto Distribution with type-II censored data in constant stress accelerated life testing. Assuming that the lifetimes under increasing stress levels form a geometric process, estimates of the parameters are obtained by using the maximum likelihood method. In addition, asymptotic confidence interval estimates of the parameters using Fisher information matrix are also obtained. The statistical properties of estimates of the parameters and the confidence intervals are illustrated by a Simulation study.
http://ijm2c.iauctb.ac.ir/article_521856_903dbdcffa57bc38f6406fbb1a19aa64.pdf
2014-03-21T11:23:20
2018-01-21T11:23:20
125
134
Maximum Likelihood Estimation
Reliability Function
Fisher Information Matrix
Asymptotic Confidence Interval
Simulation Study
Mustafa
Kamal
true
1
Aligarh Muslim University
India
Mr. Mustafa Kamal received his B.Sc., M.Sc. and M.Phil. in Statistics from Aligarh Muslim University India, respectively in 2006, 2009 and 2011. Currently he is working as a Project Fellow in a project given by UGC to the Department of Statistics and Operations Research, Aligarh Muslim University, India under DRS-I (SAP) (Code: 1206). He is an active member of The Gnedenko e-Forum established by the International Group on Reliability (I.G.O.R.). His current research interests include Reliability Theory, Accelerated Life Testing, Statistical Inference and Quality Control.
Aligarh Muslim University
India
Mr. Mustafa Kamal received his B.Sc., M.Sc. and M.Phil. in Statistics from Aligarh Muslim University India, respectively in 2006, 2009 and 2011. Currently he is working as a Project Fellow in a project given by UGC to the Department of Statistics and Operations Research, Aligarh Muslim University, India under DRS-I (SAP) (Code: 1206). He is an active member of The Gnedenko e-Forum established by the International Group on Reliability (I.G.O.R.). His current research interests include Reliability Theory, Accelerated Life Testing, Statistical Inference and Quality Control.
Aligarh Muslim University
India
Mr. Mustafa Kamal received his B.Sc., M.Sc. and M.Phil. in Statistics from Aligarh Muslim University India, respectively in 2006, 2009 and 2011. Currently he is working as a Project Fellow in a project given by UGC to the Department of Statistics and Operations Research, Aligarh Muslim University, India under DRS-I (SAP) (Code: 1206). He is an active member of The Gnedenko e-Forum established by the International Group on Reliability (I.G.O.R.). His current research interests include Reliability Theory, Accelerated Life Testing, Statistical Inference and Quality Control.
AUTHOR
ORIGINAL_ARTICLE
MATHEMATICAL MODELLING FOR DICE FINDER GAME PROBLEM
Play is often episodic and mission-centric, with a series of challenges culminating in a final puzzle or enemy that must be overcome. Multiple missions played with the same characters may be related to each other in a plot arc of escalating challenges. The exact tone, structure, pace and end (if any) vary from game to game depending on the needs and preferences of the players, as in [9]. "THE CHANCE ELEMENT in thousands of indoor games is introduced by a variety of simple random-number generators. The most popular of such devices, ever since the time of ancient Egypt, have been cubical Dice. Cubical, Because of their symmetry, any of the five regular solids can be and have been used as gaming dice, but the cube has certain obvious advantages over the other four solids. It is the easiest to make, its six sides accommodate a set of numbers neither too large nor too small, and it rolls easily enough but not too easily", as in [1], [2]. In our proposed Dice Finder game problem, user can see the different dice number's on screen from 1 to 6. Using the property of Dice that “Opposite sides of a dice add up to seven”, user has to find that correct number of dice out all of that, for which one condition is true.
http://ijm2c.iauctb.ac.ir/article_521857_2bd8a9258768eb92e3c192c3c488394a.pdf
2014-03-21T11:23:20
2018-01-21T11:23:20
135
150
Dice
Die
Fair dice
Tabletop role-playing game
Dice finder
Sanjay
Jain
true
1
https://sites.google.com/site/drsanjayjaingca/
Government College, Ajmer Affiliated to M D S University, Ajmer
India
Department of Mathematical Sciences,Associate Professor
https://sites.google.com/site/drsanjayjaingca/
Government College, Ajmer Affiliated to M D S University, Ajmer
India
Department of Mathematical Sciences,Associate Professor
https://sites.google.com/site/drsanjayjaingca/
Government College, Ajmer Affiliated to M D S University, Ajmer
India
Department of Mathematical Sciences,Associate Professor
AUTHOR
ORIGINAL_ARTICLE
FINITE POPULATION SINGLE SERVER BATCH SERVICE QUEUE WITH COMPULSORY SERVER VACATION
A single server finite population queueing model with compulsory server vacation and with fixed batch service has been considered. For this model the system steady state probabilities are obtained. Some performance measures are calculated and numerical examples are also given.
http://ijm2c.iauctb.ac.ir/article_521858_22fa298d004819c840efd155cb918747.pdf
2014-03-21T11:23:20
2018-01-21T11:23:20
151
165
Finite source queue-Fixed batch size-Compulsory server vacation-Supplementary variable technique-Steady state probabilities-Performancemeasures
Rathinasabapathy
Kalyanaraman
true
1
Professor of Mathematics, Annamalai University
India
Professor of Mathematics 3rd
Professor of Mathematics, Annamalai University
India
Professor of Mathematics 3rd
Professor of Mathematics, Annamalai University
India
Professor of Mathematics 3rd
AUTHOR
R.
Mahalakshmi
true
2
Department of Mathematics, Annamalai University
India
Student
Department of Mathematics, Annamalai University
India
Student
Department of Mathematics, Annamalai University
India
Student
AUTHOR
ORIGINAL_ARTICLE
MODELLING AND ANALYSIS OF A DISCRETE-TIME PRIORITY QUEUING COMPUTER NETWORK WITH PRIORITY JUMPS USING PROBABILITY GENERATING FUNCTIONS
Priority queues have a great importance in the study of computer communication networks in which different types of traffic require different quality of service standards. The discrete-time non-preemptive priority queuing model with priority jumps is proposed in this paper. On the basis of probability generating functions mean system contents and mean queuing delay characteristics are obtained. The effect of jumping mechanism is analysed which clearly shows that the queuing system provides better results when the fraction of class-1 arrivals in the overall traffic mix is small.
http://ijm2c.iauctb.ac.ir/article_521859_bda6332ed5bea145aa094cab803163f6.pdf
2014-03-21T11:23:20
2018-01-21T11:23:20
167
176
Discrete-time queuing theory
priority scheduling
generating functions
delay analysis
Deepak C.
Pandey
true
1
G. B. Pant University of Ag. and Technology, Pantnagar, U. S. Nagar, India
India
G. B. Pant University of Ag. and Technology, Pantnagar, U. S. Nagar, India
India
G. B. Pant University of Ag. and Technology, Pantnagar, U. S. Nagar, India
India
AUTHOR
Arun K.
Pal
true
2
Department of Maths, Stats and Comp. Science G. B. Pant University of Ag. and Technology, Pantnagar, U. S. Nagar, India
India
Department of Maths, Stats and Comp. Science G. B. Pant University of Ag. and Technology, Pantnagar, U. S. Nagar, India
India
Department of Maths, Stats and Comp. Science G. B. Pant University of Ag. and Technology, Pantnagar, U. S. Nagar, India
India
AUTHOR
ORIGINAL_ARTICLE
SOLVING A STEP FIXED CHARGE TRANSPORTATION PROBLEM BY A SPANNING TREE-BASED MEMETIC ALGORITHM
In this paper, we consider the step fixed-charge transportation problem (FCTP) in which a step fixed cost, sometimes called a setup cost, is incurred if another related variable assumes a nonzero value. In order to solve the problem, two metaheuristic, a spanning tree-based genetic algorithm (GA) and a spanning tree-based memetic algorithm (MA), are developed for this NP-hard problem. For comparing GA and MA, twenty eight problems with different specifics have been generated at random and then the quality of the proposed algorithms was evaluated using the relative percentage deviation (RPD) method. Finally, based on RPD method, we investigate the impact of increasing the problem size on the performance of our proposed algorithms.
http://ijm2c.iauctb.ac.ir/article_521860_f96058ef7dd64aa46b38bf805adf7c79.pdf
2014-03-21T11:23:20
2018-01-21T11:23:20
177
187
Step Fixed Charge Transportation Problems
Genetic algorithm
Memetic Algorithm
Spanning Tree
Saber
Molla-Alizadeh-Zavardehi
true
1
Department of Industrial Engineering, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
Department of Industrial Engineering, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
Department of Industrial Engineering, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
AUTHOR
Masoud
Sanei
true
2
Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Iran, Islamic Republic of
Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Iran, Islamic Republic of
Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Iran, Islamic Republic of
AUTHOR
Reza
Soltani
true
3
Department of Industrial Engineering, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
Iran, Islamic Republic of
Department of Industrial Engineering, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
Iran, Islamic Republic of
Department of Industrial Engineering, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
Iran, Islamic Republic of
AUTHOR
Ali
Mahmoodirad
true
4
Department of Mathematics, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
Iran, Islamic Republic of
Department of Mathematics, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
Iran, Islamic Republic of
Department of Mathematics, Masjed Soleyman Branch, Islamic Azad University, Masjed Soleyman, Iran.
Iran, Islamic Republic of
AUTHOR