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    Simulation and Control of Solid Oxide Fuel Cell

    , M.Sc. Thesis Sharif University of Technology Abbasian Arani, Mostafa (Author) ; Pishvaie, Mahmoud Reza (Supervisor)
    Abstract
    The advent of maturing fuel cell technologies presents an opportunity to achieve significant improvements in energy conversion efficiencies at different scales and environmental conservation simultaneously. This work deals with modeling, simulation and control of planar solid oxide fuel cell with internal reformer. The presented model is based on conservation laws (mass, energy, and momentum), besides an electrochemical model with all sorts of voltage losses (ohmic losses, activation overpotentials, and concentration overpotentials). Methane steam reforming, water-gas shift reaction, and hydrogen oxidation are the main reactions in this modeling scheme. The obtained governing equations lead... 

    Designing a Sustainable Supply Chain in Pistachio Industry

    , M.Sc. Thesis Sharif University of Technology Abbasian, Mahyar (Author) ; Haji, Alireza (Supervisor)
    Abstract
    Pistachio trade in Iran is of great importance in non-oil exports, and this country has been the main producer of this product for many years. In recent years, unfortunately, pistachio products have fallen sharply in the country, and on the other hand, the United States has been able to take a large share of the global market. The researchers have presented numerous reviews about the causes of this problem, most notably drought and water scarcity, inefficient agriculture, and the lack of comprehensive and efficient management of the pistachio supply chain. In this research, to address these problems, attention has been paid to sustainable supply chain management that addresses three... 

    Polar codes for a quadratic-Gaussian Wyner-Ziv problem

    , Article Proceedings of the International Symposium on Wireless Communication Systems ; 2013 , Pages 718-722 ; 21540217 (ISSN) ; 9783800735297 (ISBN) Eghbalian Arani, S ; Behroozi, H ; Sharif University of Technology
    2013
    Abstract
    In this work, we study the performance of polar codes for lossy compression of a Gaussian source with a side information at decoder; known as the quadratic-Gaussian Wyner-Ziv problem. First we extend the binary polar codes to q-ary for the Wyner-Ziv problem. We show that the nested q- Ary polar codes are optimal for this case. Then we present two polar coding schemes for the Gaussian Wyner-Ziv problem. In the first scheme, we achieve a rate above the Wyner-Ziv rate-distortion function with a gap of 0.5 bits compared with the optimal rate. This scheme utilizes a successive cancellation decoder and is optimal in weak side-information cases when the decoder side-information noise variance is... 

    On the performance of polar codes for lossy compression of Gaussian sources

    , Article 2013 Iran Workshop on Communication and Information Theory, IWCIT 2013 ; 2013 ; 9781467350235 (ISBN) Eghbalian Arani, S ; Behroozi, H ; Sharif University of Technology
    2013
    Abstract
    In this work, we study the lossy source coding of a Gaussian source with polar codes. We show through two distributions on discrete alphabet, quantized approach as well as Central Limit Theorem (CLT) approach, when the alphabet size grows to infinity, polar codes can achieve the rate distortion bound for a Gaussian source. By comparing the rate of convergence on two distributions, we show that the quantized approach have a better convergence rate than the CLT approach  

    Large deviation principle for semilinear stochastic evolution equations with monotone nonlinearity and multiplicative noise

    , Article Differential and Integral Equations ; Volume 23, Issue 7-8 , Apr , 2010 , Pages 747-772 ; 08934983 (ISSN) Dadashi Arani, H ; Zangeneh, B. Z ; Sharif University of Technology
    2010
    Abstract
    We demonstrate the large deviation property for the mild solutions of stochastic evolution equations with monotone nonlinearity and multiplicative noise. This is achieved using the recently developed weak convergence method, in studying the large deviation principle. An Itô-type inequality is a main tool in the proofs. We also give two examples to illustrate the applications of the theorems  

    Source Coding with Polar Codes

    , M.Sc. Thesis Sharif University of Technology Eghbalian Arani, Sajjad (Author) ; Behroozi, Hamid (Supervisor)
    Abstract
    Polar codes were introduced by Arikan in 2009. These codes are the first family of codes that with low encoding complexity and successive cancellation decoder, can achieve the channel capacity. Polar codes, at first were implemented for channel coding, but in 2010 performance of these codes in binary and q-ary alphabet source was studied. It is shown that these codes can perform efficiently in channel coding and source coding. On the other hand, one of the most important continuous sources are Gaussian sources. Due to the importance of Gaussian sources and good performance of polar codes, we try to evaluate the performance of these codes in Gaussian sources. Note that, these codes have... 

    3D Reconstruction of Soccer Players from Arbitrary Close-up View-points Using Multi-view Videos

    , M.Sc. Thesis Sharif University of Technology Moteshaker Arani, Zohreh (Author) ; Kasaei, Shohreh (Supervisor)
    Abstract
    In thi¬s thesis we studied 3d reconstruction of synchronized multi-view videos containing dynamic scenes of complicated deformable surfaces and fast motions, such as soccer scenes. Our pupose is to extract shape and motion of scene simultaneousely via a spacio-temporal framework. To this end, we translate our problem to a registration problem both in stereo and temporal pairs. We review 3D reconstruction methods and their related concepts like stereo correspondence and scene flow. This review is necessary to choose the best solution.In proposed solution we formulate 3d recnstruction problem as an optimization problem.Using variational framework we integrate error functional over image planes... 

    Sales and Marketing Cooperation: Mechanisms and Consequences

    , Ph.D. Dissertation Sharif University of Technology Ghandi Arani, Mahdi (Author) ; Najmi, Manoochehr (Supervisor)
    Abstract
    Previous studies and field evidences show that creating appropriate interactions between sales and marketing departments is a challenge for many organizations. The main objective of this research is to develop and elaborate a conceptual framework in which "cooperation mechanisms" between sales and marketing and it’s "consequences" determined and provide an explanation that shows how configuration of sales and marketing relationship affects its consequences. The results show that "organizational ambidexterity" is the core consequence in proper architecture of the relationship between sales and marketing. In the strategy literature, combination of the dual capabilities of exploration and... 

    Study of Solutions for Skin Temperature Reduction in Process Fired Heaters

    , M.Sc. Thesis Sharif University of Technology Harounzadeh Arani, Amir (Author) ; Farhadi, Fatholah (Supervisor)
    Abstract
    Fired heaters are large and complex items used in process plants. Tubular furnaces used mainly in chemical, petrochemical, and refinery process plants. For many process plants, the fired heater performance will determine process unit run-length. High tube metal temperature and coking in the process-fired heaters is one of the serious problems of process plants. Coke forms because the oil in tubes is no longer thermally stable at the operating conditions. Oil film temperature in the inside wall of tube somewhere that, process fluid has highest temperature and lowest velocity. Therefore, process fluid peak film temperature will determined rate of coke formation. This temperature is dependent... 

    An efficient power-aware VM allocation mechanism in cloud data centers: a micro genetic-based approach

    , Article Cluster Computing ; 2020 Tarahomi, M ; Izadi, M ; Ghobaei Arani, M ; Sharif University of Technology
    Springer  2020
    Abstract
    Efficiency in cloud servers’ power consumption is of paramount importance. Power efficiency makes the reduction in greenhouse gases establishing the concept of green computing. One of the beneficial ways is to apply power-aware methods to decide where to allocate virtual machines (VMs) in data center physical resources. Virtualization is utilized as a promising technology for power-aware VM allocation methods. Since the VM allocation is an NP-complete problem, we use of evolutionary algorithms to solve it. This paper presents an effective micro-genetic algorithm in order to choose suitable destinations between physical hosts for VMs. Our evaluations in simulation environment show that... 

    Effects of carbon sources in production of PHB(poh-p-hydroxybutyric acid)by Ralstonia eutropha

    , Article CHISA 2006 - 17th International Congress of Chemical and Process Engineering, Prague, 27 August 2006 through 31 August 2006 ; 2006 ; 8086059456 (ISBN); 9788086059457 (ISBN) Arani, V. R ; Yaghmaee, S ; Hamedi, J ; Sharif University of Technology
    2006

    Technical, Economic and Environmental Assessment of Alternative Vehicles Instead of Gasoline in Mega Cities (Case Study: Tehran)

    , M.Sc. Thesis Sharif University of Technology Azimzade Arani, Hossein (Author) ; Abbaspour, Majid (Supervisor)
    Abstract
    Today, the increase in greenhouse gases and the accumulation of thesegases in the atmosphere has caused a destructive environmental impact. Transportation systems in the country consume 25 % of the energy, which isalso the main cause of air pollution in addition to the imposition of fuelconsumption and fuel imports this has led to the design and deployment of vehicles with new technologies, necessity and importance that hybridvehicles is one of the new technologies. Considering that the average speedin road traffic is low and internal combustion engines have lower efficiencyand higher emissions, the hybrid vehicle reduces the current costs (fuelconsumption) and external costs (air pollution)... 

    Solving graph coloring problems using cultural algorithms

    , Article Proceedings of the 24th International Florida Artificial Intelligence Research Society, FLAIRS - 24, 18 May 2011 through 20 May 2011 ; May , 2011 , Pages 3-8 ; 9781577355014 (ISBN) Abbasian, R ; Mouhoub, M ; Jula, A ; Sharif University of Technology
    2011
    Abstract
    In this paper, we combine a novel Sequential Graph Coloring Heuristic Algorithm (SGCHA) with a non-systematic method based on a cultural algorithm to solve the graph coloring problem (GCP). The GCP involves finding the minimum number of colors for coloring the graph vertices such that adjacent vertices have distinct colors. In our solving approach, we first use an estimator which is implemented with SGCHA to predict the minimum colors. Then, in the non-systematic part which has been designed using cultural algorithms, we improve the prediction. Various components of the cultural algorithm have been implemented to solve the GCP with a self adaptive behavior in an efficient manner. As a result... 

    Performance of the general circulation models in simulating temperature and precipitation over Iran

    , Article Theoretical and Applied Climatology ; 2018 , Pages 1-19 ; 0177798X (ISSN) Abbasian, M ; Moghim, S ; Abrishamchi, A ; Sharif University of Technology
    Springer-Verlag Wien  2018
    Abstract
    General Circulation Models (GCMs) are advanced tools for impact assessment and climate change studies. Previous studies show that the performance of the GCMs in simulating climate variables varies significantly over different regions. This study intends to evaluate the performance of the Coupled Model Intercomparison Project phase 5 (CMIP5) GCMs in simulating temperature and precipitation over Iran. Simulations from 37 GCMs and observations from the Climatic Research Unit (CRU) were obtained for the period of 1901–2005. Six measures of performance including mean bias, root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), linear correlation coefficient (r), Kolmogorov-Smirnov... 

    Performance of the general circulation models in simulating temperature and precipitation over Iran

    , Article Theoretical and Applied Climatology ; Volume 135, Issue 3-4 , 2019 , Pages 1465-1483 ; 0177798X (ISSN) Abbasian, M ; Moghim, S ; Abrishamchi, A ; Sharif University of Technology
    Springer-Verlag Wien  2019
    Abstract
    General Circulation Models (GCMs) are advanced tools for impact assessment and climate change studies. Previous studies show that the performance of the GCMs in simulating climate variables varies significantly over different regions. This study intends to evaluate the performance of the Coupled Model Intercomparison Project phase 5 (CMIP5) GCMs in simulating temperature and precipitation over Iran. Simulations from 37 GCMs and observations from the Climatic Research Unit (CRU) were obtained for the period of 1901–2005. Six measures of performance including mean bias, root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), linear correlation coefficient (r), Kolmogorov-Smirnov... 

    Model for Evaluation of Optimal Allocation of Natural Gas Resources in Iran

    , M.Sc. Thesis Sharif University of Technology Mohammad Alizadeh Arani, Ahmad (Author) ; Saboohi, Yadollah (Supervisor)
    Abstract
    Structural changes in the energy sector, including the need to diversify sources of energy supply, security of supply, energy consumption growth in developing countries, rising oil prices and the exhaustibility of fossil fuel reserves, environmental issues, increased consumption of petrochemical products etc., has led to increased share of natural gas in primary energy supply. Iran has a wide range of options to use natural gas endowment. The present research aims to develop a model for optimal allocation of natural gas to various applications.The gas distribution system is modeled in the present study. Technical onstraints together with economic characteristics are considered in the model.... 

    Model reduction of a solid oxide fuel cell (SOFC) for control purposes

    , Article Iranian Journal of Chemistry and Chemical Engineering ; Volume 32, Issue 3 , 2013 , Pages 91-105 ; 10219986 (ISSN) Mirabi, E ; Pishvaie, M. R ; Abbasian, M ; Sharif University of Technology
    Jihad Danishgahi  2013
    Abstract
    Fuel cells belong to an avant-garde technology family for a wide variety of applications including micro-power, transportation power, stationary power for buildings and other distributed generation applications. The first objective of this contribution is to find a suitable reduced model of a Solid Oxide Fuel Cell (SOFC). The derived reduced model is then used to design a state estimator. In the first step, the distributed model of the SOFC that is derived using the first principle balance equations is solved by the method of lines. Since this model is too complex and sluggish for real-time applications, a representation of this model with lower number of states and good accuracy is needed.... 

    Comparison of artificial intelligence based techniques for short term load forecasting

    , Article Proceedings - 3rd International Conference on Business Intelligence and Financial Engineering, BIFE 2010, 13 August 2010 through 15 August 2010 ; 2010 , Pages 6-10 ; 9780769541167 (ISBN) Ghanbari, A ; Hadavandi, E ; Abbasian Naghneh, S ; Sharif University of Technology
    2010
    Abstract
    The past few years have witnessed a growing rate of attraction in adoption of Artificial Intelligence (AI) techniques to solve different engineering problems. Besides, Short Term Electrical Load Forecasting (STLF) is one of the important concerns of power systems and accurate load forecasting is vital for managing supply and demand of electricity. This study estimates short term electricity loads of Iran by means of Adaptive Neuro-Fuzzy Inference System (ANFIS), Artificial Neural Networks (ANN) and Genetic Algorithm (GA) which are the most successful AI techniques in this field. In order to improve forecasting accuracy, all AI techniques are equipped with preprocessing concept, and effects... 

    Developing a time series model based on particle swarm optimization for gold price forecasting

    , Article Proceedings - 3rd International Conference on Business Intelligence and Financial Engineering, BIFE 2010, 13 August 2010 through 15 August 2010, Hong Kong ; August , 2010 , Pages 337-340 ; 9780769541167 (ISBN) Hadavandi, E ; Ghanbari, A ; Abbasian Naghneh, S ; Sharif University of Technology
    2010
    Abstract
    The trend of gold price in the market is the most important consideration for the investors of the gold, and serves as the basis of gaining profit, so there are scholars who try to forecast the gold price. Forecasting accuracy is one of the most important factors involved in selecting a forecasting method. Besides, nowadays artificial intelligence (AI) techniques are becoming more and more widespread because of their accuracy, symbolic reasoning, flexibility and explanation capabilities. Among these techniques, particle swarm optimization (PSO) is one of the best AI techniques for optimization and parameter estimation. In this study a PSO-based time series model for the gold price... 

    Developing an evolutionary neural network model for stock index forecasting

    , Article Communications in Computer and Information Science, 18 August 2010 through 21 August 2010 ; Volume 93 CCIS , August , 2010 , Pages 407-415 ; 18650929 (ISSN) ; 3642148301 (ISBN) Hadavandi, E ; Ghanbari, A ; Abbasian Naghneh, S ; Sharif University of Technology
    2010
    Abstract
    The past few years have witnessed a growing rate of attraction in adoption of Artificial Intelligence (AI) techniques and combining them to improve forecasting accuracy in different fields. Besides, stock market forecasting has always been a subject of interest for most investors and professional analysts. Stock market forecasting is a tough problem because of the uncertainties involved in the movement of the market. This paper proposes a hybrid artificial intelligence model for stock exchange index forecasting, the model is a combination of genetic algorithms and feedforward neural networks. Actually it evolves neural network weights by using genetic algorithms. We also employ preprocessing...