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Graph Clustering With Parallel Processing
, M.Sc. Thesis Sharif University of Technology ; Daneshgar, Amir (Supervisor)
Abstract
One important way to discover patterns in data is clustering. Due to the limited human ability to solve problems in terms of volume and range of computing a viable solution for processing large amounts of data is using parallel processing. In this project, it is proposed some modification on Daneshgar-Javadi ‘s algorithm for data clustering using parallel processing. In this new algorithm , data will be divided among different processors to cluster them independently and in a parallel manner. Then results of each processor will be gathered and a final clustering will be performed on the gathered results. It is shown that the proposed modified algorithm along its high speed processing can...
Characterization of nanostructured biodegradable Zn-Mn alloy synthesized by mechanical alloying
, Article Journal of Alloys and Compounds ; Volume 735 , 2018 , Pages 1319-1327 ; 09258388 (ISSN) ; Khaleghpanah, S ; Sheibani, S ; Khakbiz, M ; Zakeri, A ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
In this study, nanostructured biodegradable pure Zn, Zn-4 wt. % Mn and Zn-24 wt % Mn alloys were produced by 20 h mechanical alloying and consequent cold pressing and sintering. Structural evolutions were investigated using the X-ray diffraction technique. Also, the microstructure was characterized by scanning electron microscopy. The effects of alloy composition on density, mechanical properties, corrosion behavior in Hank's solution, cell viability and cell attachment were investigated. Crystallite size of the synthesized alloys after 20 h of milling reached to less than 40 nm and remained less than 80 nm after consolidation and sintering for 1 h. Alloys contain MnZn13 as second phase...