2021-07-24T07:54:08Z
https://ajmc.aut.ac.ir/?_action=export&rf=summon&issue=313
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
A meshless numerical investigation based on the RBF-QR approach for elasticity problems
Mostafa
Abbaszadeh
Mehdi
Dehghan
In the current research work, we present an improvement of meshless boundary element method (MBEM) based on the shape functions of radial basis functions-QR (RBF-QR) for solving the two-dimensional elasticity problems. The MBEM has benefits of the boundary integral equations (BIEs) to reduce the dimension of problem and the meshless attributes of moving least squares (MLS) approximations. Since the MLS shape functions don’t have the delta function property, applying boundary conditions is not simple. Here, we propose the MBEM using RBF-QR to increase the accuracy and efficiency of MBEM. To show the performance of the new technique, the two-dimensional elasticity problems have been selected. We solve the mentioned model on several irregular domains and report simulation results.
Boundary element method
RBF-QR approach
Two-dimensional elasticity problems
Meshless Method
2020
02
01
1
15
https://ajmc.aut.ac.ir/article_3379_ffbd2283d5745c4b85031e1eaf021000.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
The bimodal standard normal density and kurtosis
Javad
Behboodian
Maryam
Sharafi
Zahra
Sajjadnia
Mazyar
Zarepour
In this article, first a density by the name ”The bimodal standard normal density” is introduced and denoted by bφ(z). Then, a definition for the kurtosis of bimodal densities relative to bφ(z) is presented. Finally, to illustrate the introduced kurtosis, a few examples are provided and a real data set is studied, too.
normal density
mixed normal density
bimodal standard normal density
kurtosis of a bimodal density
2020
02
01
17
25
https://ajmc.aut.ac.ir/article_3040_cba0b169b1d9096e97113d867cacd623.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
(α, β)-Metrics with Killing β of Constant Length
Tayebeh
Tabatabaeifar
Behzad
Najafi
The class of (α,β)-metrics is a rich and important class of Finsler metrics, which is extensively studied. Here, we study (α,β)-metrics with Killing of constant length 1-form β and find a simplified formula for their Ricci curvatures. Then, weshow that if F=α+β+b\frac{β^2}{α} is an Einstein Finsler metric, then α is an Einstein Riemann metric.
Finsler metric
(α,β)-metric
Einstein manifold
2020
02
01
27
36
https://ajmc.aut.ac.ir/article_3038_ec3b89402c7338eacb774d68fb1a1cb0.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
On Sobolev spaces and density theorems on Finsler manifolds
Behrooz
Bidabad
Alireza
Shahi
Here, a natural extension of Sobolev spaces is defined for a Finsler structure F and it is shown that the set of all real C∞ functions with compact support on a forward geodesically complete Finsler manifold (M, F), is dense in the extended Sobolev space H p 1 (M). As a consequence, the weak solutions u of the Dirichlet equation ∆u = f can be approximated by C∞ functions with compact support on M. Moreover, let W ⊂ M be a regular domain with the C r boundary ∂W, then the set of all real functions in C r (W) ∩ C 0 (W) is dense in H p k (W), where k ≤ r. Finally, several examples are illustrated and sharpness of the inequality k ≤ r is shown
Density theorem
Sobolev spaces
Dirichlet problem
Finsler space
2020
02
01
37
45
https://ajmc.aut.ac.ir/article_3039_ef823186580a9c859620d42c8543c999.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
A simple greedy approximation algorithm for the unit disk cover problem
Mahdi
Imanparast
Seyed Naser
Hashemi
Given a set P of n points in the plane, the unit disk cover problem, which is known as an NP-hard problem, seeks to find the minimum number of unit disks that can cover all points of P. We present a new 4-approximation algorithm with running time O(n log n) for this problem. Our proposed algorithm uses a simple approach and is easy to understand and implement.
computational geometry
approximation algorithms
unit disk cover problem
facility location
2020
02
01
47
55
https://ajmc.aut.ac.ir/article_3044_69fd7125903ed84f45ff4a2b2a419779.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
The Complementary Odd Weibull Power Series Distribution: Properties and Application
Mehdi
Goldoust
In this paper, a new four-parameters model called the complementary odd Weibull power series (COWPS) distribution is defined and its properties are explored. This new distribution exhibits several new and well-known hazard rate shapes such as increasing, decreasing, bathtub-shaped and J-shape hazard rates. Some of its mathematical properties are obtained including moments, quantiles reliability, and moment generating functions. The maximum likelihood estimation method is used to estimate the vector of parameters. A simulation study is presented to investigate the performance of the estimators. Finally, The usefulness of the model has been demonstrated by applying it to a real-life dataset.
Odd Weibull distribution
Power series distribution
Compound distribution
Maximum Likelihood Estimation
2020
02
01
57
67
https://ajmc.aut.ac.ir/article_3722_1be02552deb40e99ef41e3344ca6aa8e.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
A generalization of Marshall-Olkin bivariate Pareto model and its applications in shock and competing risk models
Shirin
Shoaee
Esmaeil
Khorram
Statistical inference for extremes has been a subject of intensive research during the last years. In this paper, we generalize the Marshall-Olkin bivariate Pareto distribution. In this case, a new bivariate distribution is introduced by compounding the Pareto Type II and geometric distributions. This new bivariate distribution has natural interpretations and can be applied in fatal shock models or in competing risks models. We call the new proposed model Marshall-Olkin bivariate Pareto-geometric (MOBPG) distribution, and then investigate various properties of the new distribution. This model has five unknown parameters and the maximum likelihood estimators cannot be afforded in explicit structure. We suggest to use the EM algorithm to calculate the maximum likelihood estimators of the unknown parameters, and this structure is quite flexible. Also, Monte Carlo simulations are performed to investigate the effectiveness of the proposed algorithm. Finally, we analyze a real data set to investigate our purposes.
Bivariate model
Competing risk model
Expectation-Maximization algorithm
Pareto Type II distribution
Shock model
2020
02
01
69
87
https://ajmc.aut.ac.ir/article_3125_8385d20bf3dcd48513f53a4a97c11981.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
The Validity of a Thompson’s Problem for PSL(4, 7)
Behrooz
Khosravi
Cyrus
Kalantarpour
Let $pi_e(G)$ be the set of elements orders of $ G$. Also let $ s_n$ be the number of elements of order $n$ in $G $ and ${rm nse}(G)= lbrace s_nmid nin pi_e(G) rbrace $.In this paper we prove that if $ G$ is a group such that ${rm nse}(G)= {rm nse}(rm PSL(4,7)) $, $19bigvert|G|$ and $19^2nmid|G|$, then $ Gcong rm PSL(4,7)$. As a consequence of this result it follows that Thompson's problem is satisfied for the simple group $rm PSL(4,7)$.
Thompson’s problem
Characterization
Number of elements of the same order
Projective special linear group
Hall subgroup
NSE
Sporadic groups
Python
2020
02
01
89
94
https://ajmc.aut.ac.ir/article_3746_c15795a34e3e77400bdbc8563d65144d.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
A real-time decision support system for bridge management based on the rules generalized by CART decision tree and SMO algorithms
Shadi
Abpeykar
Mehdi
Ghatee
Under dynamic conditions on bridges, we need a real-time management. To this end, this paper presents a rule-based decision support system in which the necessary rules are extracted from simulation results made by Aimsun traffic micro-simulation software. Then, these rules are generalized by the aid of fuzzy rule generation algorithms. Then, they are trained by a set of supervised and the unsupervised learning algorithms to get an ability to make decision in real cases. As a pilot case study, Nasr Bridge in Tehran is simulated in Aimsun and WEKA data mining software is used to execute the learning algorithms. Based on this experiment, the accuracy of the supervised algorithms to generalize the rules is greater than 80%. In addition, CART decision tree and sequential minimal optimization (SMO) provides 100% accuracy for normal data and these algorithms are so reliable for crisis management on bridge. This means that, it is possible to use such machine learning methods to manage bridges in the real-time conditions.
Intelligent Transportation Systems
Knowledge Extraction
Learning Algorithms
Traffic Simulators
Fuzzy Rule Generation Algorithm
2020
02
01
95
100
https://ajmc.aut.ac.ir/article_3043_5969ea2b069b3fd8d1e298c8a6383f87.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
Statistical and Fuzzy Clustering Methods and their Application to Clustering Provinces of Iraq based on Agricultural Products
Israa
Atiyah
Seyed Mahmoud
Taheri
The important approaches to statistical and fuzzy clustering are reviewed and compared, and their applications to an agricultural problem based on a real-world data are investigated. The methods employed in this study includes some hierarchical clustering and non-hierarchical clustering methods and Fuzzy C-Means method. As a case study, these methods are then applied to cluster 15 provinces of Iraq based on some agricultural crops. Finally, a comparative and evaluation study of different statistical and fuzzy clustering methods is performed. The obtained results showed that, based on the Silhouette criterion and Xie-Beni index, fuzzy c-means method is the best one among all reviewed methods
Hierarchical Clustering
Non-Hierarchical Clustering
Fuzzy C-Means Clustering
2020
02
01
101
112
https://ajmc.aut.ac.ir/article_3245_a255154ebe44780b879781a7e0ee6123.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
Smartphone-based System for Driver Anger Scale Estimation Using Neural Network on Continuous Wavelet Transformation
Hamid Reza
Eftekhari
Monitoring of the driver decreases accidents by reducing the risky behaviors and causes decreases the fuel consumption by preventing aggressive behavior. But this monitoring is costly due to built-in equipment. In this study, we propose a new model to recognize driving behavior by smartphone data without any extra equipment in the vehicles which is an important added value for smartphones. This recognition process is done in this paper based on the continuous wavelet transformation on accelerometer data. Then these patterns are fed to multilayer perceptron neural network to extend the information extracted from the corresponding features. Also the magnetometer sensor is used to detect the maneuvers through the driving period. Results show the accuracy of the proposed system is near 80% for pattern recognition. Driver scale based on a standard questionnaires regarding to driver angry scale (DAS), is also estimated by the proposed multilayer perceptron neural network with 3.7% errors in the average.
Risky behavior
Driver monitoring
smartphone
Wavelet transformation
Multilayer perceptron neural network
2020
02
01
113
124
https://ajmc.aut.ac.ir/article_3287_964f797962c44f02c009a4313255f902.pdf
AUT Journal of Mathematics and Computing
AJMC
2020
1
1
Adopting GRASP to solve a novel model for bus timetabling problem with minimum transfer and fruitless waiting times
Javad
Zamani Kafshani
Seyyed Ali
Mirhassani
Farnaz
Hooshmand
This paper addresses a variant of bus timetabling problem assuming that travel times changes dynamically over the planning horizon. In addition to minimizing the transfer waiting time, another objective, namely minimizing the fruitless waiting time, is introduced in this paper as a new realistic objective. First, the problem is formulated as a mixed integer linear programming model. Then, since commercial solvers become inefficient to solve moderate and large sized instances of the problem (due to the NP-hardness), a GRASP heuristic algorithm is developed. Computational experiments over a variety of random instances verify the performance of the proposed method.
Bus timetabling
Dynamic travel time
Transfer waiting time
Fruitless waiting time
GRASP
2020
02
01
125
134
https://ajmc.aut.ac.ir/article_3323_85cc256ebddca4a51b227d38698683da.pdf