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    Solving Location Problem for Vehicle Identification Sensors to Observe or Estimate Path Flows in Larg-Scale Networks

    , M.Sc. Thesis Sharif University of Technology Talebian Yazdi, Pegah (Author) ; Shafahi, Yousef (Supervisor)
    Abstract
    Origin-Destination (OD) demand is one of the important requirements in transportation planning. Estimating OD demand could be an expensive and time consuming procedure. These days using vehicle identification sensors for OD estimation has become very common because of its low cost and high accuracy. In this study, we focus on solving location problems of these sensors with the aim of observe and estimate path flows. These problems have only been solved for small-scale networks until recently due to being computationally expensive. These years two basic models have been introduced : one, without considering time of vehicle ID detection and one, with considering that information. In this... 

    The treatment of uncertainty in the dynamic origin–destination estimation problem using a fuzzy approach

    , Article Transportation Planning and Technology ; Volume 38, Issue 7 , 2015 , Pages 795-815 ; 03081060 (ISSN) Talebian, A ; Shafahi, Y ; Sharif University of Technology
    Routledge  2015
    Abstract
    Regardless of existing types of transportation and traffic model and their applications, the essential input to these models is travel demand, which is usually described using origin–destination (OD) matrices. Due to the high cost and time required for the direct development of such matrices, they are sometimes estimated indirectly from traffic measurements recorded from the transportation network. Based on an assumed demand profile, OD estimation problems can be categorized into static or dynamic groups. Dynamic OD demand provides valuable information on the within-day fluctuation of traffic, which can be employed to analyse congestion dissipation. In addition, OD estimates are essential... 

    Stake Size Effect on Guilt Aversion in Psychological Games Master Thesis

    , M.Sc. Thesis Sharif University of Technology Nozari, Salar (Author) ; Talebian, Masoud (Supervisor)
    Abstract
    Guilt aversion, the process of avoiding guilt, when guilt indicates the human sense which is present when they let down other's expectations. As the definition suggests, guilt is related to what one thinks of the others’ thoughts; i.e. the second-order beliefs. Incomplete information models of guilt aversion are the most reliable ones in the literature due to economic experiments. Based on these models, the dictator game and the trust game are applied to measure the degree of guilt aversion. In both the above psychological games, there are two players where Player A has the power to decide about the split of the money. We use the amount of transferred money to Player B is as a sign of guilt... 

    Analysis of Profit Pool in Energy Industry of Iran and Examining the Future of this Industry

    , M.Sc. Thesis Sharif University of Technology Malali, Ahmadreza (Author) ; Talebian, Masoud (Supervisor)
    Abstract
    Unequal distribution of profit and income in different sectors of industries creates a challenge for investors and their managers to determine the level of concentration and investment in each industry sector. The energy industry, as one of the most important ones in the country, will not be an exception to this rule. Iran, as a country with a competitive advantage in the world in this industry, can take the path of development if this industry is used correctly and to the maximum. Also, owners, regulators and investors of this industry must constantly monitor it so that they can determine its growth. This research aims to closely monitor this industry to create guidelines for all the people... 

    A Generalized Asset Pricing Model Based on Alpha-Stable Distributions

    , M.Sc. Thesis Sharif University of Technology Ayyoubzadeh, Mohsen (Author) ; Talebian, Masoud (Supervisor)
    Abstract
    Many theoretical and empirical studies in finance explicitly or implicitly rely on the Gaussian distribution assumption for the variables under consideration. This assumption is applied in various ways, from its use as the basis for deriving the optimal portfolio composition in the classical Markowitz framework to statistical tests assessing the significance of different variables effects in various regressions. Despite extensive empirical evidence supporting the non-Gaussian distribution of returns in stock markets, there is still a gap in achieving a comprehensive model to replace the Gaussian assumption across all areas of financial studies. In this study, alpha-stable distributions are... 

    Nondominated nash points: application of biobjective mixed integer programming

    , Article 4OR ; Volume 16, Issue 2 , 2018 , Pages 151-171 ; 16194500 (ISSN) Charkhgard, H ; Savelsbergh, M ; Talebian, M ; Sharif University of Technology
    Springer Verlag  2018
    Abstract
    We study the connection between biobjective mixed integer linear programming and normal form games with two players. We first investigate computing Nash equilibria of normal form games with two players using single-objective mixed integer linear programming. Then, we define the concept of efficient (Pareto optimal) Nash equilibria. This concept is precisely equivalent to the concept of efficient solutions in multi-objective optimization, where the solutions are Nash equilibria. We prove that the set of all points in the payoff (or objective) space of a normal form game with two players corresponding to the utilities of players in an efficient Nash equilibrium, the so-called nondominated Nash... 

    A linear programming based algorithm to solve a class of optimization problems with a multi-linear objective function and affine constraints

    , Article Computers and Operations Research ; Volume 89 , 2018 , Pages 17-30 ; 03050548 (ISSN) Charkhgard, H ; Savelsbergh, M ; Talebian, M ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    We present a linear programming based algorithm for a class of optimization problems with a multi-linear objective function and affine constraints. This class of optimization problems has only one objective function, but it can also be viewed as a class of multi-objective optimization problems by decomposing its objective function. The proposed algorithm exploits this idea and solves this class of optimization problems from the viewpoint of multi-objective optimization. The algorithm computes an optimal solution when the number of variables in the multi-linear objective function is two, and an approximate solution when the number of variables is greater than two. A computational study... 

    Nondominated nash points: application of biobjective mixed integer programming

    , Article 4OR ; 2017 , Pages 1-21 ; 16194500 (ISSN) Charkhgard, H ; Savelsbergh, M ; Talebian, M ; Sharif University of Technology
    2017
    Abstract
    We study the connection between biobjective mixed integer linear programming and normal form games with two players. We first investigate computing Nash equilibria of normal form games with two players using single-objective mixed integer linear programming. Then, we define the concept of efficient (Pareto optimal) Nash equilibria. This concept is precisely equivalent to the concept of efficient solutions in multi-objective optimization, where the solutions are Nash equilibria. We prove that the set of all points in the payoff (or objective) space of a normal form game with two players corresponding to the utilities of players in an efficient Nash equilibrium, the so-called nondominated Nash... 

    Pricing and inventory management for mixed bundled products with stochastic demand

    , Article Journal of Revenue and Pricing Management ; Volume 19, Issue 6 , 2020 , Pages 401-410 Talebian, M ; Li, Z ; Lu, Q ; Sharif University of Technology
    Palgrave Macmillan  2020
    Abstract
    We analyse optimal pricing for a retailer that sells two products using a mixed price bundling strategy. We consider substitutable products, where there is a disutility associated with jointly consuming both products. Mixed price bundling implies that customers can freely choose to buy one of the two products, both of them, or neither of them. The retailer determines the price of each product when it is sold separately, the bundle discount if these two products are sold in a bundle, and the inventory levels for each product. We first derive the optimal price and bundle discount when the store traffic is deterministic. Our results show that the mixed bundling strategy is the most beneficial... 

    The relative importance of the business model motive for customer participation in the sharing economy

    , Article Sustainable Production and Consumption ; Volume 34 , 2022 , Pages 190-201 ; 23525509 (ISSN) Alaei, S ; Aslani, S ; Talebian, M ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    The sharing economy, defined by peer-to-peer interactions through a platform, has been gaining ground in recent years. In this study, we discuss the relative importance of customers' perceived motives to participate in the two most common models of the sharing economy: access-based consumption and ownership-transfer. We focus on taxi-hailing and post-delivery as examples of access-based consumption and second-hand trade as an example of the ownership-transfer. While these two contain heterogeneous business model patterns that can motivate customers differently, common motives are significant in both models. We study common motives and motives aligned with the business model patterns, which... 

    Origin of Quantum Potential: Have the Presented Proposals Been Successful?

    , M.Sc. Thesis Sharif University of Technology Talebian Ashkezari, Alireza (Author) ; Golshani, Mehdi (Supervisor)
    Abstract
    At least nine different formalisms have been presented for Quantum mechanics which by itself can indicate the incomplete understanding of Quantum theory. Each formalism has its own ups and downs, but de Broglie–Bohm approach which is based on representing a causal interpretation has a special place among them. This approach not only can explain the statistical approach to an ensemble of systems, but also can describe single systems. There are two general approaches in de Broglie–Bohm formalism. The first approach which includes more things in itself than the other approach is Bohm’s which considers Quantum potential energy as the principal factor in causing Quantum effects. The original idea... 

    Estimation of Origin-Destination De-mand Matrices Using Fuzzy Approach

    , M.Sc. Thesis Sharif University of Technology Talebian, Ahmad Reza (Author) ; Shafahi, Yusof (Supervisor)
    Abstract
    Regardless of the traffic model and its application, an essential input of transportation models is the amount of demand which is usually described using Origin-Destination (OD) matrices. Due to high costs and time of direct development of such matrices, they are estimated indirectly from traffic measurements recorded from the network. Dynamic Origin-Destination demand provides valuable information on within-day fluctuation of traffic demand which could be used in analyzing congestion dissipation. In addition, they are essential inputs of dynamic traffic assignment (DTA) models. The current study presents a fuzzy approach to dynamic OD estimation problem. The problem is designed as a two... 

    Analysis of Strategy of Interaction Between Mobile Network Operators and Content Providers

    , M.Sc. Thesis Sharif University of Technology Gholami, Mohammad Hossein (Author) ; Talebian, Masoud (Supervisor)
    Abstract
    The value added service industry as in emergent and profitable industry has gained mane attentions by corporate owners especially in the segment of telecommunication and information technology. For launching value added services, communication infrastructure must combined with attractive and high quality contents. For this purpose, mobile network operators have collaborated with content providers to launch services, cooperative advertisements and shared the earned revenue. Interaction between operators and content providers has many complex stages that starts before contract assignment and ends at the revenue sharing stage. For analysis this problem, first, we investigated this interactions... 

    Dynamic assortment planning and capacity allocation with logit substitution

    , Article Journal of Retailing and Consumer Services ; Volume 76 , 2024 ; 09696989 (ISSN) Arhami, O ; Aslani, S ; Talebian, M ; Sharif University of Technology
    2024
    Abstract
    We consider dynamic assortment planning and capacity allocation over multiple periods, where the retailer learns the demand online and actively based on sales data. Our focus is on substitutable products inside a category, where customers' preferences follow multinomial logit, which is unknown to the retailer. This setting, unlike the existing stylish models in retail management, allows us to tackle the real-world problem where the retailer 1) is constrained by a total capacity and 2) replenishes the inventory. Considering a constrained capacity implies that stock-outs may occur, and our algorithm continuously detects and filters out the curtailed demand data to overcome this censorship.... 

    δ M formalism: a new approach to cosmological perturbation theory in anisotropic inflation

    , Article Journal of Cosmology and Astroparticle Physics ; Volume 2018, Issue 3 , 2018 ; 14757516 (ISSN) Talebian Ashkezari, A ; Ahmadi, N ; Abolhasani, A. A ; Sharif University of Technology
    Institute of Physics Publishing  2018
    Abstract
    We study the evolution of the metric perturbations in a Bianchi background in the long-wavelength limit. By applying the gradient expansion to the equations of motion we exhibit a generalized "Separate Universe" approach to the cosmological perturbation theory. Having found this consistent separate universe picture, we introduce the δ M formalism for calculating the evolution of the linear tensor perturbations in anisotropic inflation models in almost the same way that the so-called δ N formula is applied to the super-horizon dynamics of the curvature perturbations. Similar to her twin formula, δ N, this new method can substantially reduce the amount of calculations related to the evolution... 

    LVAD Functional and Transient Response Analysis and Control

    , M.Sc. Thesis Sharif University of Technology Talebian Ardestani, Mohammad Taher (Author) ; Jahed, Mehran (Supervisor)
    Abstract
    When heart failure occurred, revascularization to body’s organs and consequently covering the metabolic demands of different sections faces with problem. Chronic heart failure is the first reason of mortality all over the world. Traditional treatment for CHF at end stage is heart transplantation. But some of patients don’t have the opportunity to benefit from heart transplantation because of aging, health conditions and lack of donors. On the other hand, Left Ventricular Assist Devices that are using for supporting a ventricle suffering from failure face with basic chalanges for example, backflow in lower speeds and suction in higher speed. These constrictions necessitate maximum and minimum... 

    Online Dynamic Assortment Planning and Learning the Censored Demand With limited Inventory

    , M.Sc. Thesis Sharif University of Technology Arhami, Omid (Author) ; Talebian, Masoud (Supervisor) ; Aslani, Shirin (Co-Supervisor)
    Abstract
    This study considers an online multi-period assortment optimization problem over multiple replenishment cycles. The retailer chooses a subset from N substitutable products and decides how many of each product to order and sell at each time period. Retailer is constrained by a total inventory capacity, a cardinality constraint on the product variety (display space), and predetermined replenishment time intervals. The assortment selection is modeled as a Multi-armed Bandit problem and the customers' choice is modeled by the Multinomial Logit (MNL) choice model with dynamic substitution. The objective is to optimize the revenue by actively learning the censored demand and improving the offering... 

    Study of Customers’ Motivations and the Impact of Touchpoints on Motives to Use Different Industries of the Sharing Economy

    , M.Sc. Thesis Sharif University of Technology Alaei, Saedeh (Author) ; Talebian, Masoud (Supervisor) ; Aslani, Shirin (Supervisor)
    Abstract
    With the rise of the sharing economy, customers’ motivations to participate has become a controversial phenomenon. The sharing economy has different industries that might itself be a reason for the emergence of different incentives in customers. Moreover, these industries can affect motivation by controlling various touchpoints Two dimensions, quantity and quality illustrate the impact of touchpoints The encounter of touchpoints with both of the provider and consumer side might confuse companies to choose the best composition of has been conducted to identify the importance of motives to use different industries of the sharing economy and examine the impact of the brands’ touchpoints . In... 

    Detecting Telegram Channels with Fake Members

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Behnam (Author) ; Aslani, Shirin (Supervisor) ; Talebian, Masoud (Supervisor)
    Abstract
    Nowadays, social media and messenger applications have found widespread usage in peoples’ lives, making them spend numerous hours on these services. As a consequence, it’s imperative for businesses to maintain presence and carry out advertising campaigns in these social networks. Telegram, which started out as a messaging application, has now grown into a prevalent social media platform in many countries. As a result, Telegram channels demonstrate high potential in publishing advertisements, furthering the promotion of products, and even asserting influence on political, societal, and economic situations. The cost of advertising on channels depends on the number the channel’s subscribers... 

    Selection, Competition, and Coordination in a Triple-Channel Supply Chain

    , M.Sc. Thesis Sharif University of Technology Nikbakht, Arjang (Author) ; Najmi, Manoochehr (Supervisor) ; Talebian, Masoud (Supervisor)
    Abstract
    This thesis’s problem is how a manufacturer should select distribution channels and how to interact with the selected ones. The acquired model, analyzes strategies of the manufacturer regarding selecting distribution channels and coordinating contracts for a triple-channel supply chain environment. The aforementioned channels are physical, electronical, and direct. It is assumed that manufacturer is the Stackelberg leader and the physical channel is the electronical’s follower. Four scenarios are introduced to analyze players’ interactions through contracts. Horizontal competition with Stackelberg game is present in first three scenarios. The forth scenario obtains the maximum total profit...