Loading...
Search for: nikroo--razieh
0.11 seconds

    , M.Sc. Thesis Sharif University of Technology Razieh, Azad (Author) ; Farzaneh, Forouhar (Supervisor)
    Abstract
    In recent years due to the advances in semiconductor technology and the ability to implement small-scale manufacturing, communication at 60 GHz band receive more attention than ever has been. The use of this frequency band is not only about 7-9 GHz unlicensed broadband access provided, but getting smaller devices make it possible to use multiple antennas at the transmitter and receiver, and thus taking advantage of multiple input – multiple output systems. Antennas used in these systems should have features such as small size , low weight, high gain and bandwidth and also they should keep their high efficiency and gainat high frequency range (about a few GHz ). To achieve these features... 

    Evaluation of trichloroethylene degradation by starch supported Fe/Ni nanoparticles via response surface methodology

    , Article Water Science and Technology ; Volume 73, Issue 4 , 2016 , Pages 935-946 ; 02731223 (ISSN) Nikroo, R ; Alemzadeh, I ; Vossoughi, M ; Haddadian, K ; Sharif University of Technology
    IWA Publishing  2016
    Abstract
    In this study, degradation of trichloroethylene (TCE), a chlorinated hydrocarbon, using starch supported Fe/Ni nanoparticles was investigated. The scanning electron microscope images showed applying water soluble starch as a stabilizer for the Fe/Ni nanoparticles tended to reduce agglomeration and discrete particle. Also the mean particle diameter reduced from about 70 nm (unsupported Fe/Ni nanoparticle) to about 30 nm. Effects of three key independent operating parameters including initial TCE concentration (10.0-300.0 mg L-1), initial pH (4.00-10.00) and Fe0 dosage (0.10-2.00) g L-1 on TCE dechlorination efficiency in 1 hour were analysed by employing response surface methodology (RSM).... 

    Ezafe Recognition Using Dependency Parsing

    , M.Sc. Thesis Sharif University of Technology Nassajian, Minoo (Author) ; Bahrani, Mohammad (Supervisor) ; Shojaei, Razieh (Co-Supervisor)
    Abstract
    Ezafe is regarded as one of the most controversial and challenging issues in different Persian Language Processing (NLP) fields. It is recognized and pronounced but usually not written. So, this results in a high degree of ambiguity in Persian texts. Dependency grammar plays a significant role in optimization problems. So, to recognize the position of Ezafe in a sentence, this grammar is used in this current study. This method helps speed up computer operations and use low memory. Within this framework, first we take a close look at Ezafe distribution in Persian text. We use Uppsala Persian Dependency Corpus (2015) to analyze parsed sentences. The Ezafe constructions under study include... 

    Design and Preparation of a Persian Semantic Corpus Using Abstract Meaning Representation

    , M.Sc. Thesis Sharif University of Technology Takhshid, Reza (Author) ; Bahrani, Mohammad (Supervisor) ; Shojaie, Razieh (Supervisor)
    Abstract
    To keep in line with the day to day advancements in the fields of computational linguistics and natural language processing, and the growing attention of researchers to semantic processing, this thesis presents the design and preparation of a Persian semantic corpus using Abstract Meaning Representation (AMR). This semantic representation pairs each sentence with a single rooted, acyclic, directed graph, which is human and computer readable. Moreover, this representation paves the way for the creation of large semantic corpora. In order to bring such benefits to Persian, in this thesis we present solutions for representing Persian sentences in the framework of AMR. Moreover, a corpus of 150... 

    The Application of Nano Scale Iron Particle in Water Treatment

    , M.Sc. Thesis Sharif University of Technology Nikroo, Razieh (Author) ; Alem zadeh, Iran (Supervisor) ; Vosoughi, Manouchehr (Supervisor)
    Abstract
    Chlorinated hydrocarbons such as trichloroethylene form a kind of dense non-aqueous phase liquid contaminants in groundwater and soil that are so difficult to remediate. In recent years, many field research has been demonstrated application of nano scale zero valent iron can degrade these contaminants.
    In this research, nZVI particle synthesized by liquid phase reduction method. Nickel (25%wt ) has been added to increase the reduction rate and also reduce intermediate pollutions. However, the combination of a noble metal to nZVI, leads to more rapid oxidation and tendency to agglomeration. So nZVI particles coated by applying a water soluble-starch solution (0.4%wt) as a stabilizer. The... 

    Persian Causative/Inchoative Alternation from an LFG Perspective

    , M.Sc. Thesis Sharif University of Technology Jamshidi, Naser (Author) ; Khosravizadeh, Parvaneh (Supervisor) ; Shojaee, Razieh (Supervisor)
    Abstract
    This study attempts to describe and analyze Persian speakers’ linguistic knowledge of different types of causative and inchoative constructions within the framework of Lexical Functional Grammar (LFG). In order to do so, different studies on Persian causative alternations within theories other than LFG as well as causative alternations in other languages within LFG are reviewed. Next, different types of causative constructions are categorized conceptually and structurally after they are extracted from Bijankhan corpus (2005). Then they are analyzed syntactically and semantically. In this regard, we represent syntactic and semantic structures based on LFG as a monostratal theory. After that,... 

    A Semantic Valency Lexicon for Persian Predicates and Visualization of their Relations

    , M.Sc. Thesis Sharif University of Technology Salimifar, Saeedeh (Author) ; Khosravi Zadeh, Parvaneh (Supervisor) ; Shojaei, Razieh (Supervisor)
    Abstract
    The highest and most difficult layer of Natural Language Processing, is the understanding of meaning. As a result, lexicons and annotated corpora are of the utmost importance in this area. However, the lack of such semantic resources, especially in Abstract Meaning Representation (AMR), is one of the main issues in this field for Persian Language. This work by modeling PropBank, a semantic valency lexicon for English predicates, is the first step towards building such lexicons for Persian Language with the focus on AMR. Thus, a guideline describing how to annotate the Persian predicates is provided which first evaluates the common structures between the two languages and then focuses on the... 

    Persian Compound Verb Database with the Verbal Element: “Shodan”

    , M.Sc. Thesis Sharif University of Technology Hashemnejad, Zeinab (Author) ; Khosravizadeh, Parvaneh (Supervisor) ; Shojaie, Razieh (Supervisor)
    Abstract
    Compound verbs (CVs) and its components, have been widely discussed in previous linguistics' researches as one of the most important and fundamental constructions of Persian language. Nevertheless most of the arguments and assumptions in those researches align with each other and studying CVs from another aspect with a different viewpoint has not been considered very much in order to solve nodes and issues in this area. We have endeavored in this thesis to review and criticize the portrayed definitions of the CVs, reconsider this construction and the syntactical and semantical roles of verbal and non-verbal elements in this combination from another point of view, and revise the previous...