Shahid Beheshti University

en.sbu.ac.ir
Tehran, Iran

Shahid Beheshti University formerly known as The National University of Iran is one of the most prestigious universities in Iran.The university's name was changed during the cultural revolution in Iranian universities, 1980-82.Shahid Beheshti University , established in 1959 , started its academic life in 1960 with 174 students in two faculties: Faculty of Architecture and Urban Planning, and Faculty of Banking and Economics. The first Master's course at SBU was offered in the Faculty of Architecture in 1961, while the first Ph.D. program was introduced in the Faculty of Economics in 1991.Today, there are more than 70 programs at Master's and over 30 at Ph.D. levels. Development of new facilities in the main campus paved the way for increased academic activities, so that by 1978 several other faculties became active at SBU, e.g. Faculties of Literature and Human science, Basic science, Law, Earth science, Statistics and Informatics and Education and Psychology.SBU combines the tradition of a classical university with the dynamic character of a modern and interdisciplinary scientific enterprise. Since 1990, the university has placed more emphasis on postgraduate, in particular PhD, and research programs, while still aiming to enhance the quality of its well-established undergraduate courses.Students at the university are inspired by an outstanding and rewarding academic environment not only in Iran but in the region. The University and the members of the academia are at the forefront of world research in many fields and the teaching is informed by the very latest developments in each discipline.It is almost always ranked among best universities in Iran in national and international rankings.At the moment , there are 6763 BAMSc and 664 PhD students studying at the university. Wikipedia.


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Torkaman H.,Shahid Beheshti University | Afjei E.,Shahid Beheshti University
IEEE Transactions on Power Electronics | Year: 2013

This paper presents a comprehensive method for eccentricity fault diagnosis in switched reluctance machine (SRM) during offline and standstill modes. In this method, the fault signature is achieved by processing the differential currents resulted from injected high-frequency diagnostic pulses to the motor windings. For feasibility assessment of the proposed method, the correlation between differential current and eccentricity occurrence is analytically demonstrated. A 3-D transient finite-element method is utilized to analyze the proposal, and its results are validated by experimental tests on a prototype machine in the laboratory. According to the obtained results by experimental as well as numerical analysis, a pattern is introduced in order to detect fault presence. In this stage, an algorithm with two methods is proposed for the detection of fault location or faulty phase. Furthermore, the direction of fault is recognized by a simple comparative technique. Next, a normalized indicator is proposed in order to estimate the eccentricity fault severity as well as its occurrence. This indicator is not dependent of the healthy motor information, which makes it reliable and applicable tool for all sizes of SRMs. Finally, a simple procedure based on achieved pattern and indicator is implemented to distinguish the static, dynamic, and mixed eccentricity in the SRM. © 2012 IEEE.


In this paper, the optical and magneto-optical properties of one-dimensional magnetized coupled resonator plasma photonic crystals have been investigated. We use transfer matrix method to solve our magnetized coupled resonator plasma photonic crystals consist of dielectric and magnetized plasma layers. The results of the change in the optical and magneto-optical properties of structure as a result of the alteration in the structural properties such as thickness, plasma frequency and collision frequency, plasma filling factor, number of resonators and dielectric constant of dielectric layers and external magnetic field have been reported. The main feature of this structure is a good magneto-optical rotation that takes place at the defect modes and the edge of photonic band gap of our proposed optical magnetized plasma waveguide. Our outcomes demonstrate the potential applications of the device for tunable and adjustable filters or reflectors and active magneto-optic in microwave devices under structural parameter and external magnetic field. © 2012 American Institute of Physics.


OBJECTIVE To test the hypothesis that polymorphism within the gene-linked polymorphic region (5-HTTLPR) and second intron of SLC6A4 gene (STin2) is associated with selective serotonin-reuptake inhibitors (SSRIs) response in subjects with premature ejaculation (PE). PATIENTS AND METHODS In all, 246 men with PE were recruited in this study. They were asked to take sertraline 50 mg daily for 2 weeks, and thereafter 100 mg daily, for a 12-week treatment period. Pretreatment evaluation included history and physical examination, intravaginal ejaculatory latency time (IELT), and International Index of Erectile Function (IIEF). The efficacy of treatment was assessed using responses to IIEF, and geometric mean IELT evaluation. 5-HTTLPR was genotyped using polymerase chain reaction techniques. A repeated-measures analysis of variance of geometric mean IELT was done to test a genotype effect on treatment outcome with SSRI (sertraline). RESULTS Of 227 participants who completed the study, 175 (77.1%) responded to sertraline (IELT >1 min). Overall the patients had a 3.7-fold (95% confidence interval, CI, 1.72-5.46) increase of the geometric mean IELT (P = 0.001). The results showed that responses were significantly better for the LA/LA genotype of the 5-HTTLPR polymorphism than for S-allele carriers (P = 0.001). The STin2 12/12 genotype was found more often in those responding to sertraline than in those not responding (P = 0.001). The probability of patients responding sufficiently to sertraline with an L A/LA genotype was highest (odds ratio 4.66, 95% CI, 2.48-6.14). CONCLUSIONS These findings indicate that the genotype of 5-HTT contributes in unique ways to the variation in the outcome of PE treatment with SSRIs. © 2009 BJU International.


Hajarian M.,Shahid Beheshti University
Journal of the Franklin Institute | Year: 2013

The problem of solving matrix equations has many applications in control and system theory. This paper is concerned with the iterative solutions of the Sylvester-transpose matrix equationΣi=1k(AiXBi+ CiXTDi)=E,and the periodic Sylvester matrix equationA^jX^jB^j+C^jX^ j+1D^j=E^jforj=1,2,.,λ.The basic idea is to develop the conjugate gradients squared (CGS) and bi-conjugate gradient stabilized (Bi-CGSTAB) methods for obtaining matrix iterative methods for solving the Sylvester-transpose and periodic Sylvester matrix equations. Numerical test results are given to compare matrix iterative methods with other well-known methods. © 2013 The Franklin Institute.


Hajarian M.,Shahid Beheshti University
IET Control Theory and Applications | Year: 2013

The bi-conjugate gradient stabilised (Bi-CGSTAB) method is one of the efficient computational tools to solve the non-Hermitian linear systems Ax = b. By employing Kronecker product and vectorisation operator, this study investigates the matrix form of the Bi-CGSTAB method for solving the coupled Sylvester matrix equations ∑k i=1(AiXB i+ CiYDi) = M, k i=1(EiXF i + GiYHi) = N [including (second-order) Sylvester and Lyapunov matrix equations as special cases] encountered in many systems and control applications. Several numerical examples are given to compare the efficiency and performance of the investigated method with some existing algorithms. © The Institution of Engineering and Technology 2013.


Askarzadeh A.,Shahid Beheshti University | Rezazadeh A.,Shahid Beheshti University
IEEE Transactions on Industrial Electronics | Year: 2012

Optimum modeling of proton exchange membrane (PEM) fuel cell has become the major focus of various researches. The main drawback in optimum modeling is that the model parameters are unknown, and empirical values are not sufficient to exactly model it. Since the characteristic of a PEM fuel cell is highly nonlinear, an excellent optimization technique is needed. In this paper, an innovative global harmony search (IGHS) algorithm-based parameter identification method is proposed. The IGHS algorithm is employed for parameter identification of the SR-12 Modular PEM Generator, the Ballard Mark V FC, and the BCS 500-W stack, and its performance is compared with that of two versions of harmony search algorithms, three versions of particle swarm optimization algorithms, bee swarm optimization algorithm, and seeker optimization algorithm. Simulation results reveal that the proposed technique gives both better and more robust results than the other studied algorithms. © 2012 IEEE.


This paper presents a probabilistic multiobjective framework for optimal distributed energy resources (DERs) planning in the distribution electricity networks. The proposed model is from the distribution company (DISCO) viewpoint. The projected formulation is based on nonlinear programming (NLP) computation. The proposed design attempts to achieve a trade-off between minimizing the monetary cost and minimizing the emission of pollutants in presence of the electrical load as well as electricity market prices uncertainties. The monetary cost objective function consists of distributed generation (DG) investment and operation cost, payment toward loss compensation as well as payment for purchased power from the network. A hybrid fuzzy C-mean/Monte-Carlo simulation (FCM/MCS) model is used for scenario based modeling of the electricity prices and a combined roulette-wheel/Monte-Carlo simulation (RW/MCS) model is used for generation of the load scenarios. The proposed planning model considers six different types of DERs including wind turbine, photovoltaic, fuel cell, micro turbine, gas turbine and diesel engine. In order to demonstrate the performance of the proposed methodology, it is applied to a primary distribution network and using a fuzzified decision making approach, the best compromised solution among the Pareto optimal solutions is found. © 2014 Elsevier Ltd.


Askarzadeh A.,Shahid Beheshti University | Rezazadeh A.,Shahid Beheshti University
Applied Energy | Year: 2013

An accurate mathematical model is an extremely helpful tool for simulation, evaluation, control, and optimization of solar cell systems. Due to the non-linearity of the solar cell models and the inability of traditional optimization methods to accurately identify the unknown parameters, recently, metaheuristic algorithms have attracted significant attention. Artificial bee swarm optimization (ABSO) is a recently invented algorithm inspired by the intelligent behaviors of honey bees such as collection and processing of nectar. In this paper, we propose an ABSO-based parameter identification technique based on the single and double diode models for a 57. mm diameter commercial (R.T.C. France) silicon solar cell. The results obtained by ABSO algorithm are quite promising and outperform those found by the other studied methods. © 2012 Elsevier Ltd.


Study Type - Therapy (RCT) Level of Evidence1b Objective To determine the safety and efficacy of adjunctive bupropion sustained-release (SR) on male sexual dysfunction (SD) induced by a selective serotonin reuptake inhibitor (SSRI), as SD is a common side-effect of SSRIs and the most effective treatments have yet to be determined. Patients and Methods The randomized sample consisted of 234 euthymic men who were receiving some type of SSRI. The men were randomly assigned to bupropion SR (150 mg twice daily, 117) or placebo (twice daily, 117) for 12 weeks. Efficacy was evaluated using the Clinical Global Impression-Sexual Function (CGI-SF; the primary outcome measure), the International Index of Erectile Function (IIEF), Arizona Sexual Experience Scale (ASEX), and Erectile Dysfunction Inventory of Treatment Satisfaction (EDITS) (secondary outcome measures). Participants were followed biweekly during study period. Results After 12 weeks of treatment, the mean (sd) scores for CGI-SF were significantly lower, i.e. better, in patients on bupropion SR, at 2.4 (1.2), than in the placebo group, at 3.9 (1.1) (P = 0.01). Men who received bupropion had a significant increase in the total IIEF score (54.4% vs 1.2%; P = 0.003), and in the five different domains of the IIEF. Total ASEX scores were significantly lower, i.e. better, among men who received bupropion than placebo, at 15.5 (4.3) vs 21.5 (4.7) (P = 0.002). The EDITS scores were 67.4 (10.2) for the bupropion and 36.3 (11.7) for the placebo group (P = 0.001). The ASEX score and CGI-SF score were correlated (P = 0.003). In linear regression analyses the CGI-SF score was not affected significantly by the duration of SD, type of SSRI used and age. Conclusions Bupropion is an effective treatment for male SD induced by SSRIs. These results provide empirical support for conducting a further study of bupropion. © 2010 BJU INTERNATIONAL.


A significant number of patients undergoing treatment with selective serotonin reuptake inhibitors (SSRIs) report sexual dysfunction. SSRI-induced sexual dysfunction adversely affects quality of life and patient adherence to and compliance with treatment regimens. This trial examined the efficacy and safety of adjunctive bupropion in the treatment of SSRI-induced female sexual dysfunction. Sexual function was assessed by using the sexual function domains of the Female Sexual Function Index (primary efficacy outcome measure) and the Clinical Global Impression Scale adapted for sexual function (secondary efficacy outcome measure). End point treatment satisfaction was assessed using a Visual Analog Scale. A total of 218 women (25-45 years old) with SSRI-induced sexual dysfunction were randomized to receive 12 weeks of double-blind fixed dosed treatment with bupropion sustained release 150 mg b.i.d. (n = 109) or placebo (n = 109). The mean (SD) for Female Sexual Function Index total score was higher in the bupropion sustained release group (25.9 (5.12), 95% confidence interval (CI) 22.2-29.4) than in the placebo group (17.2 (4.9), 95% CI 15.8-20.1) (p = 0.001). Mean (SD) Clinical Global Impression Scale score for the bupropion group (2.4 (0.6), 95% CI 2.0-3.6) was significantly lower than that for the placebo group (4.2 (0.8), 95% CI 3.4-5.4) (p = 0.001). At the end of the trial the mean (SD) scores for desire (4.1 (0.7), 95% CI 3.5-4.8) (p = 0.001), arousal (4.4 (0.6), 95% CI 3.7-4.8) (p = 0.01), lubrication (4.4 (0.4), 95% CI 3.3-4.8) (p = 0.001), orgasm (4.4 (0.5), 95% CI 3.7-4.7) (p = 0.001), and satisfaction (4.2 (0.7), 95% CI 3.4-4.8) (p = 0.001) were significantly higher in the bupropion group. The highest improvement was observed in sexual desire, followed by lubrication. Compared with baseline, desire and lubrication domains increased by 86.4% (95% CI 64.9-102.2%, p = 0.001) and 69.2% (95% CI 44.7-82.6%, p = 0.001) in the bupropion group. Adjunctive treatment with bupropion sustained release during a 12-week period significantly improved key aspects of sexual function in women with SSRI-induced sexual dysfunction. © The Author(s) 2010.

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