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    Incremental Discovery of Representative Sample Sets in Networks

    , M.Sc. Thesis Sharif University of Technology Salehe, Mohammad (Author) ; Ghodsi, Mohammad (Supervisor)
    Abstract
    In many network which relationships between nodes are defined based on the similarity of attributes (Such as the World Wide Web and social networks), extracting information about networks object’s attributes may be difficult or even in many cases impossible.In these cases, predicting unknown attributes based on other objects attributes according to network structure can be extremely useful.Even more, finding a representative sample set of objects and trying to obtain their attributes in order to predict other object’s attributes with this obtained data can be an interesting problem. Finding such a set of objects with minimum size while giving maximizing accuracy in predicting other object’s... 

    DiskAccel: Accelerating disk-based experiments by representative sampling

    , Article Performance Evaluation Review, 15 June 2015 through 19 June 2015 ; Volume 43, Issue 1 , 2015 , Pages 297-308 ; 01635999 (ISSN) Tarihi, M ; Asadi, H ; Sarbazi Azad, H ; Sharif University of Technology
    Association for Computing Machinery  2015
    Abstract
    Disk traces are typically used to analyze real-life workloads and for replay-based evaluations. This approach benefits from capturing important details such as varying behavior patterns, bursty activity, and diurnal patterns of system activity, which are often missing from the behavior of workload synthesis tools. However, accurate capture of such details requires recording traces containing long durations of system activity, which are difficult to use for replay-based evaluation. One way of solving the problem of long storage trace duration is the use of disk simulators. While publicly available disk simulators can greatly accelerate experiments, they have not kept up with technological... 

    Interpretation of Errors in Solid Bulk Material Sampling Theory and Preparation of a Guide For Sampling From a Solid Material – case of Wheat Flour

    , M.Sc. Thesis Sharif University of Technology Behnampour, Amin (Author) ; Mahlooji, Hashem (Supervisor)
    Abstract
    Sampling is the process of selecting and analyzing part of population and generalizing the results to estimate characteristics of the population. Time and cost considerations or the destructive nature of experiments are the main reasons why we study a sample instead of the whole population. In typical applications, sampling units are well-defined which means these units can be defined, selected and analyzed separately. This is the case in taking samples from a human population or products that consist of distinct units. If sampling units are not well-defined, as in the case of a bulk material (e.g., a pile of dust or other particulate materials, a tankful of liquid, the air or other gases)...