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    Redundancy allocation problem of a system with increasing failure rates of components based on Weibull distribution: A simulation-based optimization approach

    , Article Reliability Engineering and System Safety ; Volume 152 , 2016 , Pages 187-196 ; 09518320 (ISSN) Pourkarim Guilani, P ; Azimi, P ; Akhavan Niaki, S. T ; Akhavan Niaki, S. A ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    The redundancy allocation problem (RAP) is a useful method to enhance system reliability. In most works involving RAP, failure rates of the system components are assumed to follow either exponential or k-Erlang distributions. In real world problems however, many systems have components with increasing failure rates. This indicates that as time passes by, the failure rates of the system components increase in comparison to their initial failure rates. In this paper, the redundancy allocation problem of a series-parallel system with components having an increasing failure rate based on Weibull distribution is investigated. An optimization method via simulation is proposed for modeling and a... 

    Artificial neural network in applying multi attribute control chart for AR processes

    , Article 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, 26 February 2010 through 28 February 2010, Singapore ; Volume 5 , 2010 , Pages 216-220 ; 9781424455850 (ISBN) Akhavan Niaki, S. T ; Akbari Nasaji, S ; Sharif University of Technology
    2010
    Abstract
    Quality characteristics are subject of both manufacturing and service industries, which include not only the variables but the attributes as well. In Quality Control area substantial research has been done for Auto-correlated variables; however, no attempt was done for Auto-correlated attributes. Ignoring the autocorrelation structure in constructing control charts cause the in-control run length to decrease, and the false alarms to increase as such. In this article we develop a new methodology based upon the modified Elman neural network capabilities to overcome this problem. Moreover, instead of back propagation, simulated annealing is suggested as an alternative training technique that is... 

    Remanent magnetization of Fe1-xCox fine particles

    , Article 4th International Conference on Magnetic and Superconducting Materials, MSM'05, Agadir, 5 September 2006 through 8 September 2006 ; Volume 3, Issue 9 , 2006 , Pages 3281-3284 ; 18626351 (ISSN) Sebt, S. A ; Zoriasatain, S ; Akhavan, M ; Sharif University of Technology
    2006
    Abstract
    Fine Fe1-xCox grains with various values of × have been grown via the borohydride method in the presence of different magnetic fields, H0. In this method, the presence of magnetic moments at the bcc lattice sites of iron causes the formation of acicular single domain grains with a nearly 0.2 μm length. The magnetic field, H0, sets the magnetic moment of SD grains parallel to each other and forms some chains of these particles. This is equivalent to the presence of an effective internal field that increases the remanent magnetization, Mr. From the SW model point of view, the remanent magnetization of sample is determined by Boltzman distribution function at the two minimum energies. In fact,... 

    Controlling autocorrelated data in multistage manufacturing processes with an application to textile industry

    , Article Quality and Reliability Engineering International ; Volume 35, Issue 7 , 2019 , Pages 2314-2326 ; 07488017 (ISSN) Keshavarz, M ; Asadzadeh, S ; Akhavan Niaki, S. T ; Sharif University of Technology
    John Wiley and Sons Ltd  2019
    Abstract
    In recent years, much attention has been given to monitoring multistage processes in order to effectively improve the product reliability. To this end, the output of the process is investigated under special circumstances, and the values corresponding to reliability-related quality characteristic are measured. However, analyzing reliability data is quite complicated because of their unique features such as being censored and obeying nonnormal distributions. A more sophisticated picture arises when the observations of the process are autocorrelated in some cases, which makes the application of previous control procedures futile. In this paper, the accelerated failure time (AFT) regression... 

    Risk-adjusted frailty-based CUSUM control chart for phase I monitoring of patients’ lifetime

    , Article Journal of Statistical Computation and Simulation ; 2020 Keshavarz, M ; Asadzadeh, S ; Akhavan Niaki, S. T ; Sharif University of Technology
    Taylor and Francis Ltd  2020
    Abstract
    Monitoring the mortality associated with a surgical procedure leads to the proper decision making in a healthcare system. However, the surgical outcomes depend not only on the risk factors of each patient but also on other categorical influential covariates which cannot be easily measured. Ignoring the unmeasured covariates leads to the poor performance of monitoring procedures. To deal with this significant issue, a general Phase-I risk-adjusted cumulative sum control chart is proposed using a combination of accelerated failure time and frailty models to monitor surgical outcomes. Extensive simulation studies are conducted which reveal that the proposed frailty-based CUSUM chart outperforms... 

    Risk-adjusted frailty-based CUSUM control chart for phase I monitoring of patients’ lifetime

    , Article Journal of Statistical Computation and Simulation ; Volume 91, Issue 2 , 2021 , Pages 334-352 ; 00949655 (ISSN) Keshavarz, M ; Asadzadeh, S ; Akhavan Niaki, S. T ; Sharif University of Technology
    Taylor and Francis Ltd  2021
    Abstract
    Monitoring the mortality associated with a surgical procedure leads to the proper decision making in a healthcare system. However, the surgical outcomes depend not only on the risk factors of each patient but also on other categorical influential covariates which cannot be easily measured. Ignoring the unmeasured covariates leads to the poor performance of monitoring procedures. To deal with this significant issue, a general Phase-I risk-adjusted cumulative sum control chart is proposed using a combination of accelerated failure time and frailty models to monitor surgical outcomes. Extensive simulation studies are conducted which reveal that the proposed frailty-based CUSUM chart outperforms... 

    Multi-objective design of risk-adjusted control chart in healthcare systems with economic and statistical considerations

    , Article Communications in Statistics: Simulation and Computation ; 2021 ; 03610918 (ISSN) Rafiei, N ; Asadzadeh, S ; Akhavan Niaki, S. T ; Sharif University of Technology
    Bellwether Publishing, Ltd  2021
    Abstract
    Using control charts to monitor healthcare systems has gained particular attention. In this paper, a risk-adjusted cumulative sum control chart is designed to monitor surgery outputs. Before undergoing surgery, the patients have some unique risk factors which influence the surgery outputs. Thus, risk-adjustment is carried out with the purpose of taking these risks into account using an accelerated failure time model. But the technical implementation of the chart requires determining the design parameters which should be selected in an optimal way putting the desired statistical and economic considerations into service. To this end, a multi-objective model, considering multiple assignable... 

    An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications

    , Article Knowledge-Based Systems ; Volume 220 , 2021 ; 09507051 (ISSN) Mousavi, S. M ; Abdullah, S ; Akhavan Niaki, S. T ; Banihashemi, S ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Uncertainty is a critical factor in medical datasets needed to be overcome for increasing diagnosis efficiency. This paper proposes an intelligent classification algorithm comprising a fuzzy rule-based approach, a harmony search (HS) algorithm, and a heuristic algorithm to classify medical datasets intelligently. Two fuzzy approaches, as well as orthogonal and triangular fuzzy sets, are first utilized to define the attributes of data. Then, an HS algorithm is integrated with a heuristic to generate fuzzy rules to select the best rules in the fuzzy rule-based systems. Moreover, to improve the performance of the proposed classification approach, a three-phase parameter tuning approach is... 

    Ferromagnetism and antiferromagnetism coexistence in SrRu 1-xMnxO3: Density functional calculation

    , Article Journal of Solid State Chemistry ; Volume 184, Issue 3 , March , 2011 , Pages 536-545 ; 00224596 (ISSN) Hadipour, H ; Fallahi, S ; Akhavan, M ; Sharif University of Technology
    2011
    Abstract
    We have calculated the electronic structure of SrRu1-xMn xO3 using the full potential linearized augmented plane wave method by LSDA and LSDAU. The antiparallel alignment between the Mn and Ru ions are consistent with the competition between ferromagnetism and antiferromagnetism in the low Mn-doped polycrystalline samples. This is in contrast to the appearance of quantum critical point and FM and AFM transitions in the single crystal measurement. Our results show that the discrepancy between different experimental phase diagrams is related to the conditions of sample preparation and also the difference between the degree of magnetic interactions between the Mn and Ru moments. The DOS and the... 

    Functionalized carbon nanotubes in ZnO thin films for photoinactivation of bacteria

    , Article Materials Chemistry and Physics ; Volume 130, Issue 1-2 , October , 2011 , Pages 598-602 ; 02540584 (ISSN) Akhavan, O ; Azimirad, R ; Safa, S ; Sharif University of Technology
    2011
    Abstract
    Two types of unfunctionalized and functionalized multi-wall carbon nanotubes (MWCNTs) were prepared to be applied in fabrication of MWCNT-ZnO nanocomposite thin films with various MWCNT contents. X-ray photoelectron spectroscopy indicated formation of functional groups on surface of the functionalized MWCNTs in the MWCNT-ZnO nanocomposite. Formation of the effective carbonaceous bonds between the ZnO and the MWCNTs was also investigated through photoinactivation of Escherichia coli bacteria on surface of the both unfunctionalized and functionalized MWCNT-ZnO nanocomposites. The functionalized MWCNT-ZnO nanocomposites showed significantly stronger photoinactivation of the bacteria than the... 

    Structural and electrical transport properties of hexagonal 4H BaRu 1-xMnxO3 perovskite

    , Article Physica B: Condensed Matter ; Volume 406, Issue 18 , September , 2011 , Pages 3363-3366 ; 09214526 (ISSN) Mazaheri, M ; Fallahi, S ; Akhavan, M ; Sharif University of Technology
    2011
    Abstract
    In this paper, structural and electrical transport properties of hexagonal, 4H-type, BaRu1-xMnxO3 (x=0-0.3), synthesized by the solid-state reaction method at ambient pressure, have been presented. Electrical transport properties are measured over a temperature range of 10300 K in the magnetic field up to 15 kOe. The low temperature resistivity (10K

    Hydrothermally synthesized CuO powders for photocatalytic inactivation of bacteria

    , Article Acta Physica Polonica A ; Volume 127, Issue 6 , 2015 , Pages 1727-1731 ; 05874246 (ISSN) Azimirad, R ; Safa, S ; Akhavan, O ; Sharif University of Technology
    2015
    Abstract
    Various morphologies of monoclinic CuO powders were synthesized by hydrothermal treatment of copper nitrate, copper acetate or copper sulfate. The synthesized samples were characterized by scanning electron microscopy, X-ray diffractometry, the Fourier transform infrared spectroscopy, and diffuse reflectance spectrophotometry. Antibacterial activity of the samples was studied against Escherichia coli bacteria in dark and under visible light irradiation. Although the different precursors yielded the same band gap energies (≈1.6 eV) for the synthesized CuO samples, they resulted in various morphologies (hierarchy of stabilized micro/nanostructures), specific surface areas, concentrations of... 

    Superconducting properties ofY1-xTbxBa 2Cu3O7-δ and Y1-xTb xSr2Cu2.7Mo0.3O7-δ

    , Article Modern Physics Letters B ; Volume 24, Issue 4-5 , 2010 , Pages 419-429 ; 02179849 (ISSN) Mirshamsi, S ; Fallahi, S ; Akhavan, M ; Sharif University of Technology
    2010
    Abstract
    We have investigated the effect of Tb substitution for Y in both YBa 2Cu3O7-δ and the more stabilized YSr 2Cu2.7Mo0.3O7-δ systems. Adding Mo has been shown to stabilize the Tb-doped systems. The samples of Y1-xTbxBa2Cu3O7-δ with x=0.0, 0.1, 0.15, 0.2, 0.3, 0.35, 0.4, 0.5, 0.55, and 0.6, and of Y 1-xTbxSr2Cu2.7Mo0.3O 7-δ with x=0.0, 0.2, 0.4, 0.6, and 0.8 have been prepared by the standard solid-state reaction technique. The superconducting transition occurs only with x=0-0.5 for the Ba-based samples, and with x=0-0.8 for the Sr-based samples. The structural parameter identification and phase determination of the samples have been carried out by the Rietveld analysis of the X-ray diffraction... 

    On the monitoring of multi-attributes high-quality production processes

    , Article Metrika ; Volume 66, Issue 3 , 2007 , Pages 373-388 ; 00261335 (ISSN) Akhavan Niaki, S. T ; Abbasi, B ; Sharif University of Technology
    2007
    Abstract
    Over the last decade, there have been an increasing interest in the techniques of process monitoring of high-quality processes. Based upon the cumulative counts of conforming (CCC) items, Geometric distribution is particularly useful in these cases. Nonetheless, in some processes the number of one or more types of defects on a nonconforming observation is also of great importance and must be monitored simultaneously. However, there usually exist some correlations between these two measures, which obligate the use of multi-attribute process monitoring. In the literature, by assuming independence between the two measures and for the cases in which there is only one type of defect in... 

    Skewness reduction approach in multi-attribute process monitoring

    , Article Communications in Statistics - Theory and Methods ; Volume 36, Issue 12 , 2007 , Pages 2313-2325 ; 03610926 (ISSN) Akhavan Niaki , S. T ; Abbasi, B ; Sharif University of Technology
    2007
    Abstract
    Since the product quality of many industrial processes depends upon more than one dependent variable or attribute, they are either multivariate or multi-attribute in nature. Although multivariate statistical process control is receiving increased attention in the literature, little work has been done to deal with multi-attribute processes. In this article, we develop a new methodology to monitor multi-attribute processes. To do this, first we transform multi-attribute data in a way that their marginal probability distributions have almost zero skewness. Then, we estimate the transformed covariance matrix and apply the well-known T2 control chart. In order to illustrate the proposed method... 

    Detection and classification mean-shifts in multi-attribute processes by artificial neural networks

    , Article International Journal of Production Research ; Volume 46, Issue 11 , 2008 , Pages 2945-2963 ; 00207543 (ISSN) Akhavan Niaki, S. T ; Abbasi, B ; Sharif University of Technology
    2008
    Abstract
    To monitor the quality of a multi-attribute process, some issues arise. One of them being the occurrence of a high number of false alarms (type I error) and the other an increase in the probability of not detecting defects when the process is monitored by a set of independent uni-attribute control charts. In this paper, based upon the artificial neural network capabilities we develop a new methodology to overcome this problem. We design a perceptron neural network to monitor either the proportions of several types of product nonconformities (instead of using several np charts) or the number of different types of defects (instead of using several c charts) in a product. Moreover, while the... 

    A transformation technique in designing multi-attribute C control charts

    , Article Scientia Iranica ; Volume 15, Issue 1 , 2008 , Pages 125-130 ; 10263098 (ISSN) Akhavan Niaki, S. T ; Abbasi, B ; Sharif University of Technology
    Sharif University of Technology  2008
    Abstract
    In a production process, when the quality of a product depends on more than one characteristic, multivariate quality control techniques are used. Although multivariate statistical process control is receiving increased attention in the literature, little work has been done to deal with multi-attribute processes. In this paper, a new methodology has been developed to monitor multi-attribute processes, in which the defect counts are important and different types of defect are dependent random variables. In order to do this, based on the symmetric square root transformation concept, first, multi-attribute data is transformed, such that the correlation between variables either vanishes or... 

    Effect of vanadium doping on the electrical and structural properties of GdBa2Cu3-xVxO7-δ

    , Article Physica Status Solidi (B) Basic Research ; Volume 245, Issue 8 , 21 July , 2008 , Pages 1611-1617 ; 03701972 (ISSN) Javanmard, H ; Bazargan, S ; Akhavan, M ; Sharif University of Technology
    2008
    Abstract
    The compounds with composition GdBa2Cu3-xV xO7-δ and x = 0.0, 0.05, 0.1, 0.15, 0.2 and 0.3 have been prepared by the solid-state reaction method. The XRD spectra indicate single-phase formation of the compounds. The transition temperature decreases considerably with vanadium concentration to Tc = 26.4 K for x = 0.3. The host sample is in the orthorhombic phase, but by increasing the V content the structure approaches the tetragonal phase, and for x = 0.3 the structure is nearly tetragonal. The normal state resistivity has been compared with 2D-VRH, 3D-VRH, and CG regimes, which shows that the 2D-VRH and CG are in better agreement for our samples. The localization length is calculated for the... 

    The conduction mechanism in Gd1-x-zCexCazBa2Cu3O7-δ

    , Article Superconductor Science and Technology ; Volume 21, Issue 9 , 4 July , 2008 ; 09532048 (ISSN) Mazaheri, M ; Mofakham, S ; Akhavan, M ; Sharif University of Technology
    2008
    Abstract
    We have investigated the substitution of Ce and divalent Ca with a radius similar to Gd in Gd1-x-zCexCazBa 2Cu3O7-δ. We have prepared Gd 1-x-zCexCazBa2Cu3O 7-δ compounds with different concentrations of Ce and Ca by the standard solid-state reaction technique. X-ray diffraction (XRD) experiments are performed and the results are refined by the Rietveld method. XRD analysis shows a predominantly single-phase perovskite structure with orthorhombic Pmmm symmetry. In Gd1-x-zCexCazBa2Cu 3O7-δ compounds, induced suppression of T c due to Ce doping is compensated by hole doping with increasing Ca substitution for Gd. With the increase of Ca content, Tc increases up to an optimum value; thereafter... 

    NORTA and neural networks based method to generate RANDOM vectors with arbitrary marginal distributions and correlation matrix

    , Article 17th IASTED International Conference on Modelling and Simulation, Montreal, QC, 24 May 2006 through 26 May 2006 ; Volume 2006 , 2006 , Pages 234-239 ; 10218181 (ISSN) ; 0889865949 (ISBN); 9780889865945 (ISBN) Akhavan Niaki, S. T ; Abbasi, B ; Sharif University of Technology
    2006
    Abstract
    Growing technology, escalating capability, and increasing complexity in many real world systems demand the applications of multivariate statistical analysis approaches by simulation. In these approaches, generating multivariate random vectors is a crucial part of the system modeling and analyzing. The NORTA algorithm, in which generating the correlation matrices of normal random vectors is the most important task, is one of the most efficient methods in this area. To do this, we need to solve some complicated equations. Many researchers have tried to solve these equations by three general approaches of (1) solving nonlinear equations analytically, (2) solving equations numerically, and (3)...