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    Long Term Effective Factors on House Price of Metropolises of Iran

    , M.Sc. Thesis Sharif University of Technology Moeeni, Safoura (Author) ; Nili, Masoud (Supervisor)
    Abstract
    The notable share of housing sector in GDP (approximately five percent) shows this sector’s relation with macroeconomic activities. On the other hand, House as an asset leads housing sector to be affected by monetary and fiscal variables. A dynamic panel data was used in this study to evaluate the relations between housing sector and some macroeconomic variables in metropolises of Iran. As results show, in long term growth of liquidity, GDP per capita and sharp ratio have positive effects, and land per capita has negative effect on housing price in metropolises of Iran. Price increases have not been equal in different cities. Inequality of land price between metropolises and between... 

    Child Effect on Female Employment: Evidence from Iran with a Structural Approach

    , M.Sc. Thesis Sharif University of Technology Hasheminasab, Jalal (Author) ; Keshavarz Haddad, Gholamreza (Supervisor) ; Moeini, Safoura (Supervisor)
    Abstract
    This research answers two questions: First, what effect does the increase in the number of children have on women's employment? Second, what is the magnitude of the effect of increasing the number of children on the potential employment rate of Iranian women? To address the first question, we use Heckman's reduced form regression along with a structural model of female labor supply. We use the Simulated Method Moments (SMM) to estimate the structural equations. Our data for the empirical analysis are taken from the Iranian Households’ Income and Expenditures Surveys in urban areas over the years 1990 to 2020. We use the estimated model to measure the potential increase in female employment... 

    Fault Detection and Smart Monitoring of Industrial Fans Based on Vibration Signals

    , M.Sc. Thesis Sharif University of Technology Moeeni, Hamed (Author) ; Manzuri Shalmani, Mohammad Taghi (Supervisor)
    Abstract
    Data Oriented Smart Monitoring for Industrial Machineries include approaches for fault detection and prognosis which only rely on non-stationary signals sampled from sensors and do not rely on physical model of machineries nor expert knowledge. Fault detection is task of determining state of machinery in present moment using past data. But in Prognosis focus is on predicting future state of machinery using past data. Most researches in this category are based on supervised algorithms, but in many applications labeling data is expensive. In this thesis some approaches for semi-superviseddiagnosis, based on markov random walk an K-NN have been implemented, also some improvements for K-NN have... 

    A new approach to sonar based indoor mapping localization

    , Article DETC2005: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Long Beach, CA, 24 September 2005 through 28 September 2005 ; Volume 7 B , 2005 , Pages 891-901 ; 0791847446 (ISBN); 9780791847442 (ISBN) Meghdari, A ; Kobravi, K ; Safyallah, H ; Moeeni, M ; Khatami, Y ; Khasteh, H ; Sharif University of Technology
    American Society of Mechanical Engineers  2005
    Abstract
    Vehicle localization and environment mapping are the most essential parts of the robot navigation in unknown environments. Since the problem of localization in indoor environments is directly related to the problem of online map generation, in this paper a new and efficient algorithm for simultaneous localization and map generation is proposed and novel results for real environments are achieved. This new algorithm interprets and validates the raw sonar measurements in first step, and applies them to the environment map in the next step. There are various adjustable parameters which make the algorithm flexible for different sonar types. This algorithm is efficient and is robust to sonar...