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Search Results: 1 - 10 of 1029 matches for " Ghazanfari AG "
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Bessel and Grüss Type Inequalities in Inner Product Modules over Banach -Algebras
Ghazanfari AG,Dragomir SS
Journal of Inequalities and Applications , 2011,
Abstract: We give an analogue of the Bessel inequality and we state a simple formulation of the Grüss type inequality in inner product -modules, which is a refinement of it. We obtain some further generalization of the Grüss type inequalities in inner product modules over proper -algebras and unital Banach -algebras for -seminorms and positive linear functionals.
Relative Smooth Topological Spaces
B. Ghazanfari
Advances in Fuzzy Systems , 2009, DOI: 10.1155/2009/172917
Abstract: In 1992, Ramadan introduced the concept of a smooth topological space and relativeness between smooth topological space and fuzzy topological space in Chang's (1968) view points. In this paper we give a new definition of smooth topological space. This definition can be considered as a generalization of the smooth topological space which was given by Ramadan. Some general properties such as relative smooth continuity and relative smooth compactness are studied.
A note on triangle equality for C*-seminorms and positive linear functionals on Banach *-modules
A. G. Ghazanfari,B. Ghazanfari
International Journal of Mathematical Analysis , 2013,
Some Grüss type inequalities for $n$-tuples of vectors in semi-inner modules
A. G. Ghazanfari,B. Ghazanfari
Mathematics , 2014,
Abstract: Some Gr\"{u}ss type inequalities in semi-inner product modules over $C^*$-algebras and $H^*$-algebras for $n$-tuples of vectors are established. Also we give their natural applications for the approximation of the discrete Fourier and the Melin transforms in such modules.
Estimation of Basal Area in West Oak Forests of Iran Using Remote Sensing Imagery  [PDF]
Loghman Ghahramany, Parviz Fatehi, Hedayat Ghazanfari
International Journal of Geosciences (IJG) , 2012, DOI: 10.4236/ijg.2012.32044
Abstract: The objective of this study is to evaluate the capability of satellite imagery for the estimation of basal area in Northern Zagros Forests. The data of the high resolution geometric (HRG) sensor of SPOT-5 satellite dated in July 2005 were used. Investigation of the quality of Satellite images shows that these images have no radiometric distortion. Overlaying of geocoded images with the digital topographic maps indicated that the images have high geometric precision. A number of 319 circular plots (0.1 ha) were established using systematic random method in the study area. All trees having diameter at breast height (DBH) (i.e. 1.3 m above ground) greater than 5 cm were callipered in each plot. Basal area in each plot was determined using field data. Main bands, artificial bands such as vegetation indices and principle component analysis (PCA) were studied. Digital numbers related to each plot were extracted from original and artificial bands. All plots were ordinated by major geographic aspects and the best fitted regression models were determined for both the study area without consideration of aspects and with consideration of major geographic aspects by multiple regression analysis (step wise regression). The results from regression analysis indicated that the square root of basal area without consideration of aspects has a high correlation with band B1 (r = –0.60). The consideration of aspects resulted in correlation of different indices with square root of basal area such that in northern forests, band B1 had higher correlation coefficient(r = –0.67) among other indices. In Eastern forests, the same band showed correlation of basal area with different correlation coefficient (r = –0.65). In southern and western forests, the square root of basal area had higher correlation (r = –0.68) with RVI. The use of the square root of basal area as a dependent variable in multivariate linear regression improved the results. The assessment of model validity indicated that the proposed models are properly valid.
Experimental Validation and Simulation of Fourier and Non-Fourier Heat Transfer Equation during Laser Nano-Phototherapy of Lung Cancer Cells: An in Vitro Assay  [PDF]
Mohammad E. Khosroshahi, Lida Ghazanfari, Payam Khoshkenar
Journal of Modern Physics (JMP) , 2014, DOI: 10.4236/jmp.2014.518208
Abstract: This paper investigated the numerical scheme extended to solve the hyperbolic non-Fourier form of bioheat transfer equation and the experimental trials were conducted to validate the numerical simulation. MNPs were prepared via co-precipitation and modified with a silica layer. The amino modified Fe3O4/SiO2 nanoshells were covered with gold colloids producing nanoshells of Fe3O4/SiO2/Au (MNSs). In vitro assays were performed to determine the effect of apoptosis of QU-DB lung cancer cells based on the cells morphology changes. Cell damage was reduced by decreasing the power density of laser. Also, a larger area of damage on cell culture plates was observed at longer intervals of laser irradiation. The effect of nanoshell concentration and irradiation rate has been evaluated. A maximum temperature rise of 6°C was achieved at 184 W/cm2 and concentration of 0.01 mg/ml. The experiment confirmed a hyperbolic behaviour of thermal propagation. The results revealed that the three-dimensional implementation of bioheat equation is likely to be more accurate than the two-dimensional study.
A Stochastic Decision Support System for Economic Order Quantity Problem
Amir Yousefli,Mehdi Ghazanfari
Advances in Fuzzy Systems , 2012, DOI: 10.1155/2012/650419
Abstract: Improving decisions efficiency is one of the major concerns of the decision support systems. Specially in the uncertain environment, decision support systems could be implemented efficiently to simplify decision making process. In this paper stochastic economic order quantity (EOQ) problem is investigated in which decision variables and objective function are uncertain in nature and optimum probability distribution functions of them are calculated through a geometric programming model. Obtained probability distribution functions of the decision variables and the objective function are used as optimum knowledge to design a new probabilistic rule base (PRB) as a decision support system for EOQ model. The developed PRB is a new type of the stochastic rule bases that can be used to infer optimum or near optimum values of the decision variables and the objective function of the EOQ model without solving the geometric programming problem directly. Comparison between the results of the developed PRB and the optimum solutions which is provided in the numerical example illustrates the efficiency of the developed PRB. 1. Introduction Economic order quantity (EOQ) problem has been investigated by many researchers during the past decades. Most of the presented inventory models are developed in the deterministic environment. Pentico and Drake [1] and Khan et al. [2] reviewed deterministic economic order quantity models. But, some of the researchers considered variations in the real world situations and presented inventory models in the uncertain environments. These uncertain EOQ models can be classified into three general categories: fuzzy EOQ models, stochastic EOQ models, and hybrid EOQ models. In the fuzzy environment, Park [3] investigated the EOQ model in which the order and the inventory costs are considered as trapezoidal fuzzy numbers. The author suggested rules to transform the fuzzy cost information in precise inputs for the EOQ model. Samanta and Al-Araimi [4] developed an inventory model based on the fuzzy logic in which the periodic review model of inventory control with variable order quantity is considered. The control module combines fuzzy logic with proportional-integral-derivative (PID) control algorithm. This model simulates the decision support system to maintain the inventory of the finished product at the desired level subject to the demand variations and the uncertainties of the production system. Roy and Maiti [5] presented a fuzzy EOQ model with limited storage capacity. In the presented model fuzziness is introduced in both objective
Functions of Hedging: The Case of Academic Persian Prose in One of Iranian Universities
Fariba Ghazanfari,Bistoon Abassi
Studies in Literature and Language , 2012, DOI: 10.3968/2261
Abstract: As a feature of academic writing, hedging deals with toning down of scientific claims. There is a clear pedagogical justification for clarification of the concept, especially since it is usually a source of failure in the writing of many foreign/ second language writers of the English language. This problem prompted us to explore it in-depth and see what the underlying assumptions of our academic authors are regarding the issue of hedging. Several studies have aimed at defining and identifying it based upon formal and functional categories (Myers, 1989; Salager Meyers, 1994; Crompton, 1997; Hyland, 1994, 1997, 2005; Lewin 2005, etc.). In the present study, we have tried to investigate the notion in Persian academic prose in two departments of an Iranian university. In order to bring theory into practice, through the text analysis of 32 RAs and some interviews with the writers of the texts under analysis, the question of the function of hedging is studied. It seems that the authors in this study use hedging mainly in its threat-minimizing and politeness functions, which are the social aspects of the issue. Epistemic modality as a cognitive motivation for hedging appears to be less of a concern to the authors under the study. Key words: Hedging; Epistemic modality; Tone down; Knowledge claim
Substance P Potentiates TGF- 1 Production in Lung Epithelial Cell Lines
Roya Yaraee,Tooba Ghazanfari
Iranian Journal Of Allergy, Asthma and Immunology , 2009,
Abstract: Transforming growth factor-beta (TGF-β) is one of the most important cytokines implicated in growth, differentiation, repair and also the pathogenesis of the lung fibrosis by its stimulatory effect on extracellular matrix deposition. Pulmonary epithelial cells are considered as a source of TGF-β in lung. Substance P (SP), as a neuroimmunomodulator has elevated levels in inflamed airways and although it has significant role in the pathogenesis of the lung fibrosis, but its effect on transforming growth factor -beta (TGF-β) production of the lung epithelial cells (and so its regulatory potential) remains unclear. In this study TGF- 1 levels in supernatants of the normal (BEAS-2B) and cancerous (A549) lung epithelial cell line cultures at the presence of various concentrations of SP were examined and MTT assay was performed to evaluate cells viability. We have observed that SP (without any other stimulator) significantly augments TGF-β production of both BEAS and A54 cells and this effect is inhibited by NK1-receptor antagonist (CP-96345). We have also observed that the viability of cells did not significantly affect at the presence of SP. It can be concluded that SP can directly modulate the release of TGF-β from human bronchial epithelial cell line and thereby participates in various lung functions or pathologic conditions.
Evaluating a Machine Vision System by Measuring Some Physical Characteristics of Pistachio Nuts
A. Ghazanfari-Moghaddam
Journal of Science and Technology of Agriculture and Natural Resources , 2003,
Abstract: In order to increase the role of machine vision in agricultural research in Iran, especially for measuring physical attributes of seeds, a machine vision system was developed using a computer, a capture card, a video camera and a light box. All equipment was purchased from domestic markets. Computer programs were developed for hardware setup and for image processing applications. The programs perfomed tasks such as image acquisition and display, color conversion, image segmentation, object counting, and measurement of some physical attributes of the objects by analysing their images. The system was used to measure some physical attributes of pistachio nuts. The machine vision measurements were statistically compared with the measurements obtained by the conventional manual methods. The results indicated that there was generally no significant difference between the two methods. However, the time consumed by the machine vision method was far less than the time taken by manual methods. The experimental results also showed that there were many sources of error and limiting factors in using machine vision for measuring physical attributes of seeds.
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