Islamic Azad University at Bandar Abbas

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Bandar Abbas, Iran
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Tarrah J.,Islamic Azad University at Bandar Abbas
Iranian Journal of Earth Sciences | Year: 2016

Specific elements (Cr, Al, Ca, and Si) and loss on ignition (LOI) were used for semi-quantitative determination of the normative mineralogical composition of naturally occurring chromium ores in ophiolite complexes. By far the occurring ore minerals are complex both from the mineralogical and chemical viewpoints. The secondary minerals serpentine and Cr-containing chlorite (kaemmererite) form next to the spinel, the most abundant mineral in the ores. As a secondary formed mineral, Cr-containing garnet (uvarovite) is very rare. Among the primary minerals olivine occurs most often. Diopside plays a subordinate role. The amounts calculated for mineral associations of chromium ores occurring in south-eastern Iran are sufficiently accurate. The sum of calculated mineral contents varies from 83 to 108 wt. %. In the application of the normative procedure, Mg, Fe, Mn and Ni were not used for the calculation. Therefore, tests could be performed by comparing the measured Mg, Fe, Mn and Ni contents with the amounts of these elements deriving from normative calculation. The results are satisfactory, considering of the general problems of quantitative phase analysis of mineral associations.


Motamed S.,Islamic Azad University at Bandar Abbas | Saeid A.B.,Shahid Bahonar University of Kerman
Neural Computing and Applications | Year: 2011

In this paper, we introduced the notion of n-fold obstinate filter in BL-algebras and we stated and proved some theorems, which determine the relationship between this notion and other types of n-fold filters in a BL-algebra. We proved that if F is a 1-fold obstinate filter, then A/F is a Boolean algebra. Several characterizations of n-fold fantastic filters are given, and we show that A is a n-fold fantastic BL-algebra if A is a MV-algebra (n ≥ 1) and A is a 1-fold positive implicative BL-algebra if A is a Boolean algebra. Finally, we construct some algorithms for studying the structure of the finite BL-algebras and n-fold filters in finite BL-algebras. © 2011 Springer-Verlag London Limited.


Shekouhy M.,Islamic Azad University at Bandar Abbas | Hasaninejad A.,Persian Gulf University
Ultrasonics Sonochemistry | Year: 2012

A catalyst-free one-pot four component methodology for the synthesis of 2H-indazolo[2,1-b]phthalazine-triones under ultrasonic irradiation at room temperature using 1-butyl-3-methylimidazolium bromide, [Bmim]Br, as a neutral reaction medium is described. A broad range of structurally diverse aldehydes (aromatic aldehydes bearing electron withdrawing and/or electron releasing groups as well as heteroaromatic aldehydes) were applied successfully, and corresponding products were obtained in good to excellent yields without any byproduct. © 2011 Elsevier B.V. All rights reserved.


Mirhosseini S.M.,Islamic Azad University at Bandar Abbas
Polish Journal of Environmental Studies | Year: 2016

Gano thermal spring is a karst spring located in the Zagros zone in southern Iran. Samples were collected in different seasons from this spring water. In addition to physicochemical factors, major and minor ions and dissolved radon concentration were measured at the sampling site using a RAD7 detector. The annual average temperature and electrical conductivity (EC) of Gano water spring is 41.2ºC and 17,417.5 μs/cm. The pH is in the neutral range and average TDS is 10,442.5 mg/l. The water type is Na-Cl. High Concentrations of Na, Cl, and SO4 ions probably result from the Hormoz Series salt domes and the dissolution of halite, gypsum, and anhydrite. The Ca/Mg ratio in spring water indicates that the reservoir rocks are dolomitic limestone. Concentrations of elements such as Ag, Hg, Cd, Sn, Pb, Cr, Co, and Bi in Gano water varies from less than 0.5 to 1 μg/l. The mean concentration of 222Rn in Gano water is 29.2 kBq/m3, so Gano is not a radon mineral spring. Mean annual effective222Rn doses for inhalation from the waters of Gano spring was computed to be 0.002 μSvy-1, which is less than the reference level recommended by WHO. © 2016, HARD Publishing Company. All rights reserved.


The regiochemistry of 1,3-dipolar cycloaddition reactions of C,N-diphenyl nitrone with some vinyl sulfox- imines as dipolarophile was investigated using density functional theory (DFT)-based reactivity indexes and activation energy calculations at B3LYP/6-31G(d) level of theory. Analysis of the geometries and bond orders (BOs) at the TS structures associated with the different reaction pathways shows that these 1,3-dipolar cycloaddition reactions occur via an asynchronous concerted mechanism. Analysis of the local electrophilicity and nucleophilicity indexes permits an interpretation about the regioselectivity of these 1,3-dipolar cycloaddition reactions. The theoretical results obtained in the work clearly predict the regiochemistry of the isolated cycloadducts and agree to experimental outcomes. Copyright © 2011 SIOC, CAS, Shanghai & WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Feili S.,Islamic Azad University at Bandar Abbas | Hamedi H.R.,Vilnius University
Optics Communications | Year: 2014

A novel scheme is proposed to investigate the possible giant Kerr nonlinearity in a crystal of molecular magnets. The crystal is subjected to one dc magnetic field and two probe and coupling ac magnetic fields. By studying the steady-state behavior of the medium, we show that an enhanced Kerr nonlinearity with negligible absorption can be achieved under condition of slow light levels, just by properly adjusting the coupling field. Also, the transient evolution of nonlinear dispersion is proposed. It is found that the frequency detunings of probe and coupling fields, as well as the intensity of coupling field, lead to the large Kerr nonlinearity. Our results can be used as a guideline for optimizing and controlling the switching process in the crystal of molecular magnets, which is much more practical than that in the atomic system because of its flexible design and the long relaxation times. © 2013 Elsevier B.V. All rights reserved.


The mechanism and regioselectivity of 1,3-dipolar cycloaddition of N-[methyl]-C-[5-nitro-2-furyl] nitrilimine with dimethyl 7-oxabicyclo[2,2,1] hepta-2,5-diene-2,3-dicarboxylate were investigated using activation energy calculations and density functional theory-based reactivity indexes. The reaction proceeds by an asynchronous concerted mechanism. The calculations are performed at the B3LYP/6-31G(d) level of theory and the obtained results are in agreement with experimental outcome. © 2010 Chinese Physical Society.


Mollaiy-Berneti S.,Islamic Azad University at Bandar Abbas
Fuel | Year: 2016

Gas injection process is one of the most efficient improved oil recovery methods for conventional oil reservoirs. The efficiency of this process is strongly dependent on minimum miscibility pressure (MMP) which is usually determined through very expensive and time-consuming laboratory tests. So, this paper is concerned with the use of hybrid approach, combining particle swarm optimization and adaptive neuro-fuzzy inference system (ANFIS) with fuzzy c-means clustering technique, aimed at an estimation of injected gas-reservoir oil MMP. The hybrid proposed model makes ANFIS is practical in dealing with complex and high dimensional MMP problem. The process of model building is done by considering the reservoir temperature, crude oil composition, composition of injected CO2 as input parameters and corresponding CO2-oil MMP information as target parameter. The validity of proposed model has been successfully approved by comparing with results obtained by well-known empirical correlations in published literature. The results show that the proposed model significantly outperformed those four correlations with the lowest mean absolute error of 0.0099, the lowest root mean square error of 0.0174, and the highest coefficient of determination of 0.9823. Therefore, the proposed hybrid model can be applied as an alternative method to yield more accurate results in CO2-oil MMP estimation. © 2016 Elsevier Ltd. All rights reserved.


Ghiaci M.,Isfahan University of Technology | Zarghani M.,Isfahan University of Technology | Khojastehnezhad A.,Islamic Azad University at Mashhad | Moeinpour F.,Islamic Azad University at Bandar Abbas
RSC Advances | Year: 2014

A novel silica functionalized N-heterocyclic carbene palladium complex was found to be a very efficient and reusable catalyst in the Suzuki and Sonogashira coupling reactions. The synthesized catalyst was characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), N2 adsorption analysis (BET), thermal gravimetric analysis (TGA) and inductively coupled plasma/atomic emission spectroscopy (ICP/AES). The catalysts showed excellent performance in these two reactions including various aryl halide derivatives (except aryl chloride derivatives) with phenylboronic acid and phenylacetylene under green conditions (H2O). Moreover, the catalyst was recycled for several runs without any significant loss of catalytic activity. This journal is © the Partner Organisations 2014.


Demand planning for industrial’s electricity consumption is an important factor to efficiently plan the generation and distribution of power utilities. However, this can only be possible if the demand is predicted accurately. Recent advancement in adaptive neuro-fuzzy inference system aimed at mapping input to output for highly non-linear processes such as energy management field, provide reliable approach to forecast energy demand. Despite the wide range of applications and flexibility of adaptive neuro-fuzzy inference system, complexity of the rule base is featured with certain limitations associated with combinatorial explosion of rules, parameters and data. This paper proposes a hybrid procedure, subtractive clustering technique coupled with genetic algorithm, to develop adaptive neuro-fuzzy inference system. Genetic algorithm finds the optimum value of cluster radius which guaranteed the minimum number of rules and error. The empirical data regarding the industrial’s electricity demand in Iran from 1967 to 2011 are investigated to demonstrate the applicability and merits of the present method. The performance of hybrid approach is found to be better than that of conventional adaptive neuro-fuzzy inference system based on gird partitioning, fuzzy c-means, and subtractive clustering in terms of both accuracy and the number of rules. © 2015 Springer-Verlag Berlin Heidelberg

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