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    Proposals for modification of Iranian bitumen to meet the climatic requirements of Iran

    , Article Construction and Building Materials ; Volume 23, Issue 6 , 2009 , Pages 2141-2150 ; 09500618 (ISSN) Aflaki, S ; Tabatabaee, N ; Sharif University of Technology
    2009
    Abstract
    In this research, bitumen from seven Iranian bitumen production plants were tested and characterized according to the Superpave performance grading (PG) system. The study compared the results of this classification with the 13 performance grade binders required for specific climatic zones in Iran. A set of modifiers, as well as laboratory air blowing, were used to generate the required PG binders. The modifiers used were crumb rubber, gilsonite, polyphosphoric acid, and styrene-butadiene-styrene (SBS). It was found that the variety of available binders is not adequate to fully cover the required PGs. © 2008 Elsevier Ltd. All rights reserved  

    Harmonious Coloring of Graph

    , M.Sc. Thesis Sharif University of Technology Aflaki, Arian (Author) ; Jafari, Amir (Supervisor)
    Abstract
    Let G be a simple graph. A harmonious coloring of G is a proper vertex coloring such that each pair of colors appears together on at most one edge. The harmonious chromatic number, h(G), is the least number of colors in such a coloring. In this project, first we discuss about complexity of harmonious coloring. Then we find some bounds for harmonious chromatic number  

    An Investigative Study on Iranian Bitumens Compatibility with SHRP Performance Grading System, and Production of the Needed Grades

    , Ph.D. Dissertation Sharif University of Technology Aflaki, Sasan (Author) ; Tabatabaee, Nader (Supervisor)
    Abstract
    This investigative study intends to identify and characterize bitumen from seven Iranian bitumen production plants according to the Superpave Performance Grading (PG) system, conventional classic tests, and chemical separation tests. The study then compares the identified performance grades with the thirteen performance-grade binders required for specific climatic zones in Iran. It is observed that the variety of available binders is not adequate to fully cover the required PGs. Blending was initially considered as a suitable and economic method for production of the missing performance grades. However due to similar rheological properties of bitumen samples, resulting in nearly identical... 

    Improving Payload Attribution Techniques

    , M.Sc. Thesis Sharif University of Technology Sasan Narkes Abadi, Zeynab (Author) ; Kharrazi, Mehdi (Supervisor)
    Abstract
    One of the most important steps in the process of network forensics is attacker attribution and tracing the victims of the attack. In some situations, there is no other information to track the attacker except the payload of packet. Network security professionals have introduced payload attribution techniques to attribute this type of attacks. In payload attribution techniques, a history of network traffic is stored so that after the attack, it can be queried to trace the source and destination of excerpts. Due to the high volume of traffic in today's networks, payload attribution techniques should be able to store traffic in compressed format so that querying on this data be done easily at... 

    On-Line Energy Management for Fault-Tolerant Real-Time Embedded Systems

    , M.Sc. Thesis Sharif University of Technology Aflaki Khorasgani, Mehdi (Author) ; Ejlali, Alireza (Supervisor)
    Abstract
    Providing low-power fault tolerance is usually an important requirement in real-time embedded systems. A faulty result in safety-critical systems and a failure to meet a deadline in hard real-time systems can cause catastrophic consequences for the system or environment. Therefore, these systems must be highly reliable and meet real-time constraints. Slack time in time redundancy techniques (e.g. roll-back recovery) can be used to increase system reliability and to save energy. Time redundancy techniques are suitable from an energy consumption point of view but may not be sufficiently reliable for tight real-time constraints. In the condition of tight timing constraints, the hardware... 

    Experimental Study and Optimization of Nuclear Grade Boric Acid Production Process

    , M.Sc. Thesis Sharif University of Technology Ahmadian Koudakan, Payam (Author) ; Outokesh, Mohammad (Supervisor) ; Aflaki Pashaki, Fereydoon (Supervisor)
    Abstract
    Boric acid (H3BO3) is a weak monobasic acid that exist as a white powder in the standard conditions. In industry, it is used in manufacturing of fiberglas filaments, precious metals soldering and production of flat panel LCD displays. In all of these applications, normal grade boric acid is used, but nuclear industry demands an ultrapure boric acid (UPA) for controlling of the reactivity and power levels in pressurized water reactors. Annual consumption of UPA in Bushehr Power Plant (BPP) is around 60 metric tons. Currently, this amount is imported from Russia, but atomic energy organization of Iran plans to displace it by the acid made inside the country. Domestic production of UPA in... 

    Mitigating the performance and quality of parallelized compressive sensing reconstruction using image stitching

    , Article 29th Great Lakes Symposium on VLSI, GLSVLSI 2019, 9 May 2019 through 11 May 2019 ; 2019 , Pages 219-224 ; 9781450362528 (ISBN) Namazi, M ; Mohammadi Makrani, H ; Tian, Z ; Rafatirad, S ; Akbari, M. H ; Sasan, A ; Homayoun, H ; ACM Special Interest Group on Design Automation (SIGDA) ; Sharif University of Technology
    Association for Computing Machinery  2019
    Abstract
    Orthogonal Matching Pursuit is an iterative greedy algorithm used to find a sparse approximation for high-dimensional signals. The algorithm is most popularly used in Compressive Sensing, which allows for the reconstruction of sparse signals at rates lower than the Shannon-Nyquist frequency, which has traditionally been used in a number of applications such as MRI and computer vision and is increasingly finding its way into Big Data and data center analytics. OMP traditionally suffers from being computationally intensive and time-consuming, this is particularly a problem in the area of Big Data where the demand for computational resources continues to grow. In this paper, the data-level...