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Vakili A.H.,Universiti Sains Malaysia | Vakili A.H.,Zand Institute of Higher Education | Selamat M.R.B.,Universiti Sains Malaysia | Aziz H.B.A.,Universiti Sains Malaysia | And 3 more authors.
Geoderma | Year: 2017

Dispersive clays are prone to erosion and could cause significant problems in geotechnical and geo-environmental projects. In this research, a new additive - the ZELIAC – was investigated for treating a Malaysian dispersive clay soil where an appreciable decrease in dispersivity was achieved due to treatment with 8% ZELIAC. The curing time was found to be significant that after 28 days, the initially dispersive samples became non-dispersive. Furthermore, due to the treatment, the samples had increased unconfined compressive strength (UCS), permeability, and optimum moisture content; and decreased fines content, plasticity index, maximum dry density, and compressibility index. The UCS increased nearly 7.3 times for sample treated with 8% ZELIAC and cured for 90 days. The X-ray fluorescence (XRF) results showed a cementitious structure with calcium content 10.8 times more in the treated sample than in the untreated one, reflecting the constructive cation exchange reaction taking place during the curing process. The sodium ion was noticeably replaced by calcium ion which resulted in a decreased thickness of the diffused double layer and the subsequent reduction in the dispersivity of the sample. These results were also reflected by the lower peak intensity as measured by the X-ray diffraction test (XRD) for the treated sample, as compared to the higher peak intensity for the un-treated sample. Finally, the SEM images indicate that the flocculated structures of the treated dispersive clay were surrounded by the ZELIAC particles. Thus, the ZELIAC was proven to be effective in improving the studied Malaysian dispersive clay. © 2016


Ansari Z.,Islamic Azad University at Shiraz | Gholami Y.,Zand institute of higher education
Advances in Environmental Biology | Year: 2014

In this paper we ensembles consisting of multiple classifiers used for member classifiers, and are rewarded based on their predictive performance. In the research were used 11 inputs that involve Cash' Short-Term Investments' Notes Receivable, Inventory, Spare Parts, Inventory Stock and Other Inventory, Advance Payment, Long- Term Assets, Notes Payable, Prepaid, Long-Term Liability that applied for prediction profit equity. © 2014 AENSI Publisher All rights reserved.


Ansari Z.,Islamic Azad University at Shiraz | Aslamloo S.A.,Islamic Azad University | Gholami Y.,Zand institute of higher education
Advances in Environmental Biology | Year: 2014

In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. In the research were used 11 inputs that involve Cash, Short-Term Investments, Notes Receivable, Inventory' Spare Parts, Inventory Stock and Other Inventory, Advance Payment, Long- Term Assets, Notes Payable, Prepaid, Long-Term Liability that applied for clustering of equity by SVM method. © 2014 AENSI Publisher All rights reserved.


Jamalnia A.,University of Manchester | Mahdiraji H.A.,Islamic Azad University at Kashan | Sadeghi M.R.,Allame Tabatabaee University | Hajiagha S.H.R.,Islamic Azad University at Kashan | Feili A.,Zand Institute of Higher Education
International Journal of Information Technology and Decision Making | Year: 2013

Companies pursuing extension of their activities and new companies in establishment phase are using various concepts and techniques to consider location decision, because location greatly affects both fixed and variable costs and on the overall profit of the company. This paper suggests a new use of quality function deployment (QFD) for facility location selection problem instead of applying it to traditional product quality promotion. Fuzzy sets concept is also incorporated to deal with imprecise nature of the linguistic judgments of decision makers. First, fuzzy QFD as a stand-alone approach is presented to address international facility location selection decision. To consider resource limitations and operational constraints, fuzzy goal programming is combined with fuzzy quality function deployment to present a developed approach to deal with global facility location-allocation decision. A demonstration of the applicability of proposed methodologies in a real-world problem is presented. © 2014 World Scientific Publishing Company.

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