Time filter

Source Type

Khataee A.R.,University of Tabriz | Kasiri M.B.,Tabriz Islamic Art University
Journal of Molecular Catalysis A: Chemical | Year: 2010

Artificial neural networks (ANNs) are computer based systems that are designed to simulate the learning process of neurons in the human brain. ANNs have been attracting great interest during the last decade as predictive models and pattern recognition. Artificial neural networks possess the ability to "learn" from a set of experimental data (e.g. processing conditions and corresponding responses) without actual knowledge of the physical and chemical laws that govern the system. Therefore, ANNs application in data treatment is especially important where systems present nonlinearities and complex behavior. In recent years "advanced oxidation processes" (AOPs), including homogeneous and heterogeneous nanocatalytic processes, have been proposed to oxidize quickly and non-selectively a broad range of water pollutants. Due to the complexity of reactions in AOPs, the effect of different operational parameters involved are very difficult to determine, leading to uncertainties in the design and scale-up of chemical reactors of industrial interest. It is evident that this problem can not be solved by simple linear multivariate correlation. Artificial neural networks are a promising alternative modeling technique. This paper briefly describes the application of artificial neural networks for modeling of water and wastewater treatment using various homogeneous and heterogeneous nanocatalytic processes. Examples of early applications of ANNs in modeling and simulation of photocatalytic, photooxidative and electrochemical treatment processes are reviewed. © 2010 Elsevier B.V. All rights reserved.


Khataee A.R.,University of Tabriz | Kasiri M.B.,Tabriz Islamic Art University
Journal of Molecular Catalysis A: Chemical | Year: 2010

Synthetic dyes are a major part of our life as they are found in the various products ranging from clothes to leather accessories to furniture. These carcinogenic compounds are the major constituents of the industrial effluents. Various approaches have been developed to remove organic dyes from the natural environment. Over the past few years, there has been an enormous amount of research with advanced oxidation processes (AOPs) as an effective method of wastewater treatment. Among AOPs, heterogeneous photocatalytic process using TiO2 nanomaterials appears as the most emerging destructive technology due to its cost effectiveness and the catalyst inert nature and photostability. This review deals with the photocatalytic degradation of organic dyes containing different functionalities using TiO2 nanomaterials in aqueous solution. It first discusses the photocatalytic properties of nanostructured TiO2. The photocatalytic degradation rate strongly depends on the basic structure of the molecule and the nature of auxiliary groups attached to the aromatic nuclei of the dyes. So, this review then explains the influence of structure of dyes on their photocatalytic degradation rates. The influences of different substitutes such as alkyl side chains, methyl, nitrate, hydroxyl and carboxylic groups as well as the presence of chloro atom have been discussed in detail. © 2010 Elsevier B.V.


Sadeghi-Kiakhani M.,Iran Institute for Color Science and Technology | Safapour S.,Tabriz Islamic Art University
Clean Technologies and Environmental Policy | Year: 2014

Chitosan-poly(propylene imine) dendrimer (CS-PPI) hybrid was successfully prepared and grafted on wool substrate. The impact of key operational grafting factors, i.e., pH, temperature, and CS-PPI concentration on grafting yield, was investigated through dyeing with two commercial reactive dyes, C.I. Reactive Orange 122 (RO122) and C.I. Reactive Red 195 (RR195). The optimal grafting values obtained were pH 6, temperature 70 °C, and 20 % owf CS-PPI concentration. The performance of CS-PPI-grafted wool was investigated in terms of dyeing ability, color fastness, and shrinkage of wool fabrics. Grafted wool actually showed lowered optimal dyeing temperature of 40 °C as compared to those of pristine wool (80 °C). The color depth (K/S) comparison of CS-PPI grafted wool dyed with no salt usage in dye bath with those of pristine wool conventionally dyed with 30 % owf salt revealed that both grafted and pristine samples had similar color depth suggesting elimination of salt from reactive dye bath so-called “salt free dyeing” for grafted wool. No remarkable change in color fastness of dyed grafted wool fabrics against wash, rub, light, and perspiration was observed and all were in good and acceptable level. In addition, the shrink-proofing property of CS-PPI grafted wool fabrics was also enhanced. The results of this study clearly indicated that CS-PPI hybrid is a high potential novel bio-compatible compound which can be successfully used in finishing of wool in both eco-friendliness and energy saving standpoint in dyeing process. © 2014 Springer-Verlag Berlin Heidelberg


Sekhavat Y.A.,Tabriz Islamic Art University
International Journal of Computer Games Technology | Year: 2016

This paper presents the architecture of KioskAR, which is a pervasive game implemented using augmented reality (AR). This game introduces a new business model that makes it possible for players to present their artworks in virtual kiosks using augmented reality, while they are having fun playing the game. In addition to competition between the players in the game, this game requires social interaction between players to earn more points. A user study is conducted to evaluate the sense of presence and the usability of the application. The results of experiments show that KioskAR can achieve a high level of usability as well as sense of presence. © 2016 Yoones A. Sekhavat.


Sekhavat Y.A.,Tabriz Islamic Art University
International Journal of Computer Games Technology | Year: 2016

In recent years, the Internet has become embedded into the purchasing decision of consumers. The purpose of this paper is to study whether the Internet behavior of users correlates with their actual behavior in computer games market. Rather than proposing the most accurate model for computer game sales, we aim to investigate to what extent web search query data can be exploited to nowcast (contraction of "now" and "forecasting" referring to techniques used to make short-term forecasts) (predict the present status of) the ranking of mobile games in the world. Google search query data is used for this purpose, since this data can provide a real-time view on the topics of interest. Various statistical techniques are used to show the effectiveness of using web search query data to nowcast mobile games ranking. Copyright © 2016 Yoones A. Sekhavat.


Kasiri M.B.,Tabriz Islamic Art University | Khataee A.R.,University of Tabriz
Environmental Technology (United Kingdom) | Year: 2012

The effects of different operational parameters on the decolorization of a dye solution containing C.I. Acid Blue 92 (AB92) or C.I. Acid Black 1 (AB1) by the UV/H 2O 2 process were optimized using response surface methodology (RSM). The reaction time, dye and H 2O 2 initial concentrations and distance of the UV lamp from the solution were chosen as input variables. The removal process was performed according to a central composite design. Predicted results by the proposed models were in good agreement with experimental values (R 2 = 0.942 and 0.957 for AB92 and AB1, respectively). The optimum points were located by graphical response surfaces and contour plots. The removal process of the dyes was compared and the efficiency difference justified by considering the chemical structure of the dyes. Additionally, the electrical energy consumption and the related treatment costs were estimated employing the figure-of-merit electrical energy per order (E EO). © 2012 Taylor & Francis.


Khataee A.R.,University of Tabriz | Kasiri M.B.,Tabriz Islamic Art University
Clean - Soil, Air, Water | Year: 2011

A growing world population, unrelenting urbanization, increasing scarcity of good quality water resources, and rising fertilizer applications are the driving forces behind the accelerating upward trend in the use of efficient methods of water and wastewater treatment such as biological processes. Due to the complexity of the reactions in biological processes, a few studies have been performed involving the modeling of biological removal of water pollutants. Thus, the application of the artificial neural networks (ANNs) to predict the performance of the biological systems has been attempted. ANNs are computer-based systems that are designed to simulate the learning process of neurons in the human brain. One of the characteristics of modeling based on ANNs is that it does not require the mathematical description of the phenomena involved in the process. This review article describes the application of ANNs for modeling of biological water and wastewater treatment processes. Examples of early applications of ANNs in modeling and simulation of biological water and wastewater treatment processes in the presence of various microalgae, macroalgae, bacteria, microbes, yeasts, anaerobic sludge, aerated submerged biofilms, and submerged membrane bioreactors are reviewed. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Kasiri M.B.,Tabriz Islamic Art University | Khataee A.R.,University of Tabriz
Desalination | Year: 2011

The present work deals with the application of Response Surface Methodology (RSM) to study the effects of operational parameters on the photooxidative decolorization of two dyes (C.I. Basic Blue 3 (BB3) and C.I. Acid Green 25 (AG25)) with different molecular structure under UV light illumination (30W) in the presence of hydrogen peroxide (H2O2). The variables investigated were the reaction time, dye and H2O2 initial concentrations and distance of UV lamp from the solution. Central Composite Design (CCD) was used for the optimization of photooxidative decolorization process. Predicted values were found to be in good agreement with experimental values (R2=98.43 and 95.06 and Adj-R2=97.05 and 90.74 for BB3 and AG25, respectively), which indicated suitability of the model and the success of CCD in optimization of UV/H2O2 process. Graphical response surface and contour plots were used to locate the optimum points. The photooxidative removal of the dyes in the optimal conditions was compared and a structure-degradability relationship was established. Moreover, the figure-of-merit electrical energy per order (EEO) was employed to estimate the electrical energy consumption. © 2010 Elsevier B.V.


Kasiri M.B.,Tabriz Islamic Art University | Safapour S.,Tabriz Islamic Art University
Environmental Chemistry Letters | Year: 2014

Increasing studies on extraction, purification and modification processes of natural dyes and antimicrobials, and their subsequent application on textiles demonstrate the revival of natural dyeing and finishing. Natural dyes have been widely used in textile coloration since ancient times. But, with advent of man-made synthetic dyes in the mid-nineteenth century, the dye market has been captured due to a variety of competitive properties of synthetic dyes against natural ones such as lower cost, higher fastness, color variety, ability to dye synthetic fibers and availability in large industrial scale. However, most of the synthetic dyes raise some serious problems in human health and cause environmental risks. Due to these drawbacks along with the growing awareness about cleaner surroundings and healthy lifestyle, there has been recently a worldwide interest in the production and application of dyes from two natural sources, plants and microorganisms. Most of these natural dyes have also inherently antimicrobial properties and could consequently possess high medicinal activity. They are extracted from different types of microorganisms as well as various parts of the plants that contain coloring materials such as tannin, flavonoids and quinonoids. Here we review the latest scientific researches on extraction and application of natural dyes/antimicrobials on textiles as effective coloring and antibacterial agents. First, different methods of extraction of natural dyes/antimicrobials will be discussed, and then, current methods of textile treatments and examples of early applications of these dyes on textile processing, properties achieved and the results obtained will be presented. © 2013 Springer-Verlag Berlin Heidelberg.


Khataee A.R.,University of Tabriz | Kasiri M.B.,Tabriz Islamic Art University | Alidokht L.,University of Tabriz
Environmental Technology | Year: 2011

Response surface methodology is a widely used technique for modelling and optimization of the photocatalytic treatment processes of water and wastewater. This methodology not only estimates linear, interaction and quadratic effects of the factors on the response, but also provides a prediction model for the response at the range of the variables studied and the optimum conditions to achieve the highest performance. The present paper reviews the results of application of this innovative methodology in modelling and optimization of the photocatalytic treatment processes. Different experimental designs including 3 k factorial, Doehlert, Box-Behnken and central composite designs have been developed to describe the treatment processes of dyeing effluents, pharmaceutical agents and hazardous phenolic compounds. The results showed that response surface methodology can describe the behaviour of complex reaction systems, such as photocatalytic processes, in the range of experimental conditions adopted. Optimization based on response surface methodology can also estimate the conditions of the photocatalytic processes to achieve the highest performance. © 2011 Copyright Taylor and Francis Group, LLC.

Loading Tabriz Islamic Art University collaborators
Loading Tabriz Islamic Art University collaborators