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Search Results: 1 - 10 of 301 matches for " Behrouz Omaraee "
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Study and Analysis of Obstacles and Challenges Facing Ship-Repair Industry in Iran  [PDF]
Reza Bozorgpour, Behrouz Omaraee, Mohsen Vaez Zadeh Asadi
Open Journal of Marine Science (OJMS) , 2017, DOI: 10.4236/ojms.2017.74034
Abstract:
Nowadays, shipping industry which is the backbone of economic development has affiliated to ship maintenance and repair industry. This industry provides technical maintenance services to ships in a way to enable them to meet the requirements and regulations of the International Maritime Organization and maintaining the vessels at high technical standard & continual seaworthiness condition. Maintaining the minimum requirement of classification societies on the ships is solely taken place with repairs. The research method is an applied study in sake of aim and a descriptive study in sake of nature. This research has been conducted to examine causes and factors contributed to failures repairing in dry docks in the country; using the obtained results, an approach has been presented to reduce obstacles existing in country and reach to standard international levels. The problems include lack of suitable strategy, lack of government support, governmental facet of the structure of this sector, cumbersome laws, customs problems, lack of specialized workshops, low levels of technology and lack of new technology etc. Thus, by taking amendment to the cumbersome rules, taking advantage of industry and modern technology experts, increasing productivity and competitiveness, centralizing active domestic and foreign workshops at private sector, facilitating timely supply of parts and accessories, using research and development sector, increasing quality, reducing costs and repair time, selecting secure industrial- trade partner and etc. can pave the way in this context.
A Fully Bayesian Sparse Probit Model for Text Categorization  [PDF]
Behrouz Madahian, Usef Faghihi
Open Journal of Statistics (OJS) , 2014, DOI: 10.4236/ojs.2014.48057
Abstract: Nowadays a common problem when processing data sets with the large number of covariates compared to small sample sizes (fat data sets) is to estimate the parameters associated with each covariate. When the number of covariates far exceeds the number of samples, the parameter estimation becomes very difficult. Researchers in many fields such as text categorization deal with the burden of finding and estimating important covariates without overfitting the model. In this study, we developed a Sparse Probit Bayesian Model (SPBM) based on Gibbs sampling which utilizes double exponentials prior to induce shrinkage and reduce the number of covariates in the model. The method was evaluated using ten domains such as mathematics, the corpuses of which were downloaded from Wikipedia. From the downloaded corpuses, we created the TFIDF matrix corresponding to all domains and divided the whole data set randomly into training and testing groups of size 300. To make the model more robust we performed 50 re-samplings on selection of training and test groups. The model was implemented in R and the Gibbs sampler ran for 60 k iterations and the first 20 k was discarded as burn in. We performed classification on training and test groups by calculating P (yi = 1) and according to [1] [2] the threshold of 0.5 was used as decision rule. Our model’s performance was compared to Support Vector Machines (SVM) using average sensitivity and specificity across 50 runs. The SPBM achieved high classification accuracy and outperformed SVM in almost all domains analyzed.
Case Study: Data Mining of Associate Degree Accepted Candidates by Modular Method  [PDF]
Behrouz Minaei Bidgoli, Maryam Nazaridoust
Communications and Network (CN) , 2012, DOI: 10.4236/cn.2012.43030
Abstract: Since about 10 years ago, University of Applied Science and Technology (UAST) in Iran has admitted students in discontinuous associate degree by modular method, so that almost 100,000 students are accepted every year. Although the first aim of holding such courses was to improve scientific and skill level of employees, over time a considerable group of unemployed people have been interested to participate in these courses. According to this fact, in this paper, we mine and analyze a sample data of accepted candidates in modular 2008 and 2009 courses by using unsupervised and supervised learning paradigms. In the first step, by using unsupervised paradigm, we grouped (clustered) set of modular accepted candidates based on their student status and labeled data sets by three classes so that each class somehow shows educational and student status of modular accepted candidates. In the second step, by using supervised and unsupervised algorithms, we generated predicting models in 2008 data sets. Then, by making a comparison between performances of generated models, we selected predicting model of association rules through which some rules were extracted. Finally, this model is executed for Test set which includes accepted candidates of next course then by evaluation of results, the percentage of correctness and confidentiality of obtained results can be viewed.
Sensitivity analysis in piecewise linear fractional programming problem with non-degenerate optimal solution
Behrouz Kheirfam
Opuscula Mathematica , 2009,
Abstract: In this paper, we study how changes in the coefficients of objective function and the right-hand-side vector of constraints of the piecewise linear fractional programming problems affect the non-degenerate optimal solution. We consider separate cases when changes occur in different parts of the problem and derive bounds for each perturbation, while the optimal solution is invariant. We explain that this analysis is a generalization of the sensitivity analysis for LP, LFP and PLP. Finally, the results are described by some numerical examples.
Postoptimal analysis in the coefficients matrix of piecewise linear fractional programming problems with non-degenerate optimal solution
Behrouz Kheirfam
Opuscula Mathematica , 2010,
Abstract: In this paper, we discuss how changes in the coefficients matrix of piecewise linear fractional programming problems affect the non-degenerate optimal solution. We consider separate cases when changes occur in the coefficients of the basic and non-basic variables and derive bounds for each perturbation, while the optimal solution is invariant. We explain that this analysis is a generalization of the sensitivity analysis for LP, LFP and PLP. Finally, the results are described by some numerical examples.
Investigating the Influence of Special Effects in Educational Films on Learning
Behrouz Khandandel
Knowledge & Health Journal , 2009,
Abstract: Introduction: According to Piaget children and adolescents pay more attention to films presenting novel and eccentric pictures different from those of their normal daily life. This research aims at studying the influence of special effects in educational films on learning amount. Methods: In this study using random cluster sampling method from among 1777 fourth-graders in state elementary schools in Shahroud eight classes (250 pupils) and from the practical sciences textbook four chapters were selected. Eight content-relevant films with and without special effects were also produced. Having displayed the films the researchers administered a post test including g20 questions (five items for each chapter). The results were analyzed using an independent t-test procedure in boy and girl groups. Results: The results indicated that the mean score of the boys who had seen the films with special effects was 3.64 and that of the boys having seen films with no special effect was 3.65 which do not show any significant difference. However the mean score of the girls who had seen the films with special effects was 3.52 and that of the girls having seen films with no special effect was 3.29 which shows a significant difference. Conclusion: Creating attractive spaces in films is possible with the aid of special effect techniques the simplest of which are picture effects such as dissolve fade and superimpose. These techniques are even simply available on personal computers. Nowadays computer has changed the society and the learning processes for ever. This study confirms the role of gender in the effectiveness of films with special effects. This fact indicates higher level of excitation in boys due to their more exposure to computer games and action films.
Applications of a Weighted Symmetrization Inequality to Elastic Membranes and Plates
Emamizadeh Behrouz
Journal of Inequalities and Applications , 2010,
Abstract: This paper is devoted to some applications of a weighted symmetrization inequality related to a second order boundary value problem. We first interpret the inequality in the context of elastic membranes, and observe that it lends itself to make a comparison between the deflection of a membrane with a varying density with that of a membrane with a uniform density. Some mathematical consequences of the inequality including a stability result are presented. Moreover, a similar inequality where the underlying differential equation is of fourth order is also discussed.
Applications of a Weighted Symmetrization Inequality to Elastic Membranes and Plates
Behrouz Emamizadeh
Journal of Inequalities and Applications , 2010, DOI: 10.1155/2010/808693
Abstract: This paper is devoted to some applications of a weighted symmetrization inequality related to a second order boundary value problem. We first interpret the inequality in the context of elastic membranes, and observe that it lends itself to make a comparison between the deflection of a membrane with a varying density with that of a membrane with a uniform density. Some mathematical consequences of the inequality including a stability result are presented. Moreover, a similar inequality where the underlying differential equation is of fourth order is also discussed.
Determinant of the Potts model transfer matrix and the critical point
Behrouz Mirza
Physics , 2005, DOI: 10.1016/j.physa.2004.10.003
Abstract: By using a decomposition of the transfer matrix of the $q$-state Potts Model on a three dimensional $ m \times n \times n $ simple cubic lattice its determinant is calculated exactly. By using the calculated determinants a formula is conjectured which approximates the critical temperature for a d-dimensional hypercubic lattice.
Birational positivity in dimension 4 (with an appendix by Frédéric Campana)
Behrouz Taji
Mathematics , 2013,
Abstract: In this paper we prove that for a nonsingular projective variety of dimension at most 4 and with non-negative Kodaira dimension, the Kodaira dimension of coherent subsheaves of $\Omega^p$ is bounded from above by the Kodaira dimension of the variety. This implies the finiteness of the fundamental group for such an $X$ provided that $X$ has vanishing Kodaira dimension and non-trivial holomorphic Euler characteristic.
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