Loading...
Search for: maddah--mohammad-javad
0.196 seconds

    Impact of Oxygen-enriched Air Combustion by Membrane System on Performance of Diesel Engine and Air Pollutants Emission

    , M.Sc. Thesis Sharif University of Technology Shoaee Maddah, AmirHossein (Author) ; Soltanieh, Mohammad (Supervisor)
    Abstract
    Oxygen enriched combustion is one of the attractive combustion technologies to control pollution and improve combustion in diesel engines. In the present work after an introduction to membrane seperation and membrane seperators for oxygen-nitrogen from air, a simulation of combustion chamber by GT-Power and membrane COMSOL Multiphysics was used to study the impact of oxygen enrichment on combustion, pollution and performance parameters with 23, 25 and 27% levels of enrichment. Increasing the oxygen engine content with the air leads to faster burn rates and the ability to burn more fuel at the same stoichiometry. These effects have the potential to decrease specific fuel consumption and... 

    Distributed Verifiable Computing: Algorithms and Analysis

    , M.Sc. Thesis Sharif University of Technology Rahimi, Ali (Author) ; Maddah Ali, Mohammad Ali (Supervisor)
    Abstract
    Zero knowledge proofs allow a person (prover) to convince another person (verifier) that he has performed a specific computation on a secret data correctly, and has obtained a true answer, without having to disclose the secret data. QAP (Quadratic Arithmetic Program) based zkSNARKs (zero knowledge Succinct Non-interactive Argument of Knowledge) are a type of zero knowledge proof. They have several properties that make them attractive in practice, e.g. verifier's work is very easy. So they are used in many areas such as Blockchain and cloud computing. But yet prover's work in QAP based zkSNARKs is heavy, therefore, it may not be possible for a prover with limited processing resource to run... 

    Investigating the Feasibility of Technology Transfer from Military Industries to Other Sectors Based on Technological Capabilities: A Comparative Study of the Missile and Automotive Industries

    , M.Sc. Thesis Sharif University of Technology Maddah, Mohammad Javad (Author) ; Souzanchi Kashani, Ebrahim (Supervisor)
    Abstract
    This study investigates the possibility of knowledge transfer from military industries, with a focus on the missile industry, to other sectors in the country, particularly the automotive industry, from the perspective of technological capabilities. The objective of this research is to conduct a comparative analysis of the technological capabilities of these two industries and to evaluate the potential and challenges associated with the process of knowledge and technology transfer. The research methodology involves qualitative analysis through interviews with experts and the review of relevant documents and records. The conceptual framework has been developed based on existing models of... 

    , M.Sc. Thesis Sharif University of Technology Abtahi, Mohammad Reza (Author) ; Abedini, Javad (Supervisor)
    Abstract
    In this piece of work, a gravity model is suggested as Iranian non-fuel export model to OIC countries. The most important results out of this model are the acquired coefficients of two variables, namely “ECO membership” and “Economic and Trade Freedom of Importer”. At first, we expected that for importer, being a member of ECO would increase the amount of trade with iran. Surprisingly, this is not what we see in a model. In fact, as ECO has not achieved any tangible success in increasing trade between its members, eastern Asian Muslim countries has become an important trade partner for iranians. This result is compatible with other pieces of researches about ECO. “Economic and Trade Freedom... 

    Relay-assisted Multiple-input Multiple-output Underwater Wireless Optical Communication Systems

    , M.Sc. Thesis Sharif University of Technology Jamali, Mohammad Vahid (Author) ; Salehi, Javad (Supervisor)
    Abstract
    Today’s growing interest to the underwater explorations and navigations demands to design appropriate underwater communication methods and systems. However, radio frequencies which are widely being used in free space communications, can’t be a good candidate for underwater wireless communications, due to their sever attenuation in water. On the other hand, underwater acoustic communication has been widely studied and implemented in the past decades, inspired by suitable propagation of acoustic waves through the underwater medium. Nevertheless, acoustic communication systems have limited bandwidth, lower propagation speed and lower security than optical counterparts, which suggests underwater... 

    Mobility-Aware Resource Allocation in Hybrid Visible Light Communication and 5G Radio Access Technologies Networks

    , M.Sc. Thesis Sharif University of Technology Dastgheib, Mohammad Amir (Author) ; Salehi, Javad (Supervisor)
    Abstract
    Visible light communication (VLC) uses huge license-free spectral bandwidth of visible light for high-speed wireless communication. Since each VLC access point covers a small area, handovers of mobile users are inevitable. In order to deal with these handovers, developing fast and effective resource allocation algorithms is a challenge. this paper introduces the problem of mobility-aware optimization of resources in hybrid VLC and 5G radio access technologies networks using the T-step look-ahead policy and employing the notion of handover efficiency. It is shown that the handover efficiency can correlate the overall performance of the network with future actions based on the mobility of... 

    Introducing a Numerical Method for Estimating Median Crack Depth during Machining on Optical Glasses

    , Ph.D. Dissertation Sharif University of Technology Asqari, Mohammad Amin (Author) ; Akbari, Javad (Supervisor)
    Abstract
    In present research, a cohesive based finite element model has been introduced to estimate median crack depth during mechanical machining on optical glasses. Development of the machining numerical model has been initiated by investigating the indentation process. Experimental results of this step have been calibrated primary numerical model which has been used in the scratch process. Due to differences between the scratch mechanism and indentation one, mathematical bases fracture formulas and cohesive relations have been developed. After extracting primary result, using them in the scratch model and developing the primary model, ultimately numerical model has been evolved to an abstract... 

    Coded Computing for Distributed Machine Learning

    , Ph.D. Dissertation Sharif University of Technology Jahaninezhad, Tayyebeh (Author) ; Maddah Ali, Mohammad Ali (Supervisor)
    Abstract
    Nowadays, we are forced to use distributed computing due to the growth of data, the challenge of storing and processing it, as well as the emergence of new problems in machine learning and the complexity of the models. In distributed computing, the computation is per- formed by a distributed system consisting of several worker nodes such that, the main task is divided into several smaller tasks and assigned to each worker node. Then, different worker nodes will cooperate to accomplish the main task. Although distributed systems are efficient in solving problems and dealing with the mentioned challenges, they are vulnerable to the presence of stragglers, adversarial worker nodes, high... 

    Designing Online Algorithm for Admission Control in Payment Channel Networks

    , M.Sc. Thesis Sharif University of Technology Bastankhah, Mahsa (Author) ; Maddah Ali, Mohammad Ali (Supervisor)
    Abstract
    Payment channel networks (PCNs) are a promising technology to improve the scalability of cryptocurrencies. Users can send instant and almost free transactions via payment channel networks and, at the same time, enjoy the security guarantees of Blockchains. In order to open a mutual payment channel, two users should send a ``channel creation" transaction to the underlying Blockchain. Through this transaction, two parties deposit some money on the Blockchain. This money, which we call the channel's capacity, can be used to send off-chain transactions between the two users. After the channel creation, the channel-holders can send each other off-chain transactions by forwarding the money back... 

    Distributed Fault-tolerant Computation for Massive Data

    , M.Sc. Thesis Sharif University of Technology Mahvari Habibabadi, Mohammad Mahdi (Author) ; Maddah-Ali, Mohammad Ali (Supervisor)
    Abstract
    In this thesis we consider the problem of distributed computation by many processors.We mainly concentrate on matrix multiplication problem in this thesis because of its importance. A distributed system consists of N worker processors and one master processor. The master processor should distribute the computation between workers and after computation in each of them, collect the results. In this thesis, we are going to mitigate the effect of straggler processors by using coding methods. Straggler processors can cause delays in the computation time.In this thesis, we firstly introduce a method to multiply any number of matrices in each other. The proposed method occurred in one shot without... 

    Production of Uranium Dioxide Nano Powder With Hydrothermal Method in Supercritical Water Reactor

    , M.Sc. Thesis Sharif University of Technology Golzary, Abooali (Author) ; Outokesh, Mohammad (Supervisor) ; Ahmadi, Javad (Supervisor) ; Karimi Sabet, Javad (Co-Advisor)
    Abstract
    Hydrothermal supercritical method is one of the most suitable methods for metal oxide nano powder, ceramics and mineral catalyst synthesis. Metal oxides nanopowder in its pure or mixed form has wide potential application as chemical industrial catalyst, hot Superconductors, magnetic material, gas sensors and car catalyst convertors. One of the most important metal oxides aspects of application is uranium oxide as nuclear reactor fuel is used. In addition, UO2 is selective catalyst for converting methane to methanol process and Decomposition of organic Chlorine material. In Supercritical hydrothermal method done in high pressure reactor with critical to fluid, is new method for the... 

    Lithium Isotopes Separation by Electrolysis Amalgam by a Continuous Method

    , M.Sc. Thesis Sharif University of Technology Kowsari, Mohammad Reza (Author) ; Outokesh, Mohammad (Supervisor) ; Ahmadi, Javad (Co-Advisor)
    Abstract
    Lithium has 9 isotopes which two isotopes are stable and remaining isotopes are unstable and have half-life. Lithium stable isotopes include 6Li and 7Li that their abundance is 7.53% and 92.47% respectively. Importance of lighter lithium isotope appears for its small cross section against thermal neutron and producing fusion reactors fuel in nuclear industries. Thermal neutron absorption cross section for 6Li and 7Li are 950 barn and 37 mbarn respectively. Interesting of these isotopes in nuclear industry is due to the large difference in the absorption cross section.6Li compounds implied for tritium producing in coat of nuclear fusion reactor with DT fuel. Following tritium is used in... 

    Privacy Preserving Communication Schemes for Light Clients in Blockchain Networks: Algorithms and Analysis

    , M.Sc. Thesis Sharif University of Technology Bakhshi, Mahdi (Author) ; Pakravan, Mohammad Reza (Supervisor) ; Maddah Ali, Mohammad Ali (Co-Supervisor)
    Abstract
    Lightweight clients are a type of blockchain users who do not store all the blocks in the blockchain due to limited resources. These users store only a small part of each block and when needed, request transactions from full nodes that store the entire blockchain. These users have no role in block validation and only want to receive transactions related to their addresses with proof of the inclusion in the block from full nodes.Since light clients rely on full nodes for receiving transactions, their privacy against full nodes is important. The current implementation of Bitcoin uses Bloom filters for privacy, but this offers very little privacy to the users.In this thesis, we study the... 

    Application of Coding in Multi-party Computation for Massive Operations

    , M.Sc. Thesis Sharif University of Technology Akbari Nodehi, Hanzaleh (Author) ; Maddah-Ali, Mohammad Ali (Supervisor)
    Abstract
    In this thesis, we introduce limited-sharing multi-party computation; in which there is a network of workers (processors) and a set of sources, each having access to a massive matrix as a private input. These sources aim to offload the task of computing a polynomial function of the matrices to the workers, while preserving the privacy of data. We also assume that the load of the link between each source and each worker is upper bounded by a fraction of each input. The objective is to minimize the number of workers needed to perform the computation, such that even if an arbitrary subset of t 1 workers, for some t 2 N, collude, they cannot gain any information about the input matrices. This... 

    Fabrication & Characterization of Al-Al3Ti-Al2O3 Nano-composites Based on the Thermal Degradation of Aluminium Titanate & Facile Study on the Correlation between Microstructure & Their Mechanical Properties

    , M.Sc. Thesis Sharif University of Technology Ahmadvand, Mohammad Saeed (Author) ; Maddah Hosseini, Hamid Reza (Supervisor)
    Abstract
    In this study insitu Al-Al3Ti-Al2O3 nanocomposite has been fabricated based on thermal decomposition of tialite (Al2TiO5) precursor in aluminium matrix through powder metallurgy method. Also the effect of high energy mechanical milling and hot extrusion on this procedure has been investigated. In the first step nano-structured tialite were synthesized through citrate sol gel methods. Then, different volume fraction of tialte was mixed with aluminium by high energy vibratory milling. The results of X-ray differaction analysis, scanning electron microscopy and differential thermal analysis showed that mechanical milling can degrade stability of tialite and cause strain-induced decomposition,... 

    Private Distributed Computing for Machine Learning Algorithms

    , M.Sc. Thesis Sharif University of Technology Mousavi, Mohammad Hossein (Author) ; Maddah-Ali, Mohammad Ali (Supervisor) ; Mirmohseni, Mahtab (Co-Supervisor)
    Abstract
    In this thesis, we argue that in many basic algorithms for machine learning, including support vector machine (SVM) for classification, principal component analysis (PCA) for dimensionality reduction, and regression for dependency estimation, we need the inner products of the data samples, rather than the data samples themselves. Motivated by the above observation, we introduce the problem of private inner product retrieval for distributed machine learning, where we have a system including a database of some files, duplicated across some non-colluding servers. A user intends to retrieve a subset of specific size of the inner products of the data files with minimum communication load, without... 

    Design and Implementation of Distributed Dimensionality Reduction Algorithms under Communication Constraints

    , M.Sc. Thesis Sharif University of Technology Rahmani, Mohammad Reza (Author) ; Maddah Ali, Mohammad Ali (Supervisor) ; Salehkaleybar, Saber (Supervisor)
    Abstract
    Nowadays we are witnessing the emergence of machine learning in various applications. One of the key problems in data science and machine learning is the problem of dimensionality reduction, which deals with finding a mapping that embeds samples to a lower-dimensional space such that, the relationships between the samples and their properties are preserved in the secondary space as much as possible. Obtaining such mapping is essential in today's high-dimensional settings. Moreover, due to the large volume of data and high-dimensional samples, it is infeasible or insecure to process and store all data in a single machine. As a result, we need to process data in a distributed manner.In this... 

    Design, Analysis and Manufacturing of Gas Foil Bearing

    , M.Sc. Thesis Sharif University of Technology Majidi, Mohammad Hassan (Author) ; Akbari, Javad (Supervisor) ; Movahhedy, Mohammad Reza (Supervisor)
    Abstract
    Foil gas bearings are compliant surface, self-acting hydrodynamic bearings that use ambient gas as their working fluid. They do not require external pressurization and are typically constructed from several layers of sheet metal foils. In high-speed, high-temperature applications the GFB’s have the advantage of developing higher load capacities than with fixed geometry gas bearings. Since GFB’s have a complex structure consisting of a spring-like substructure with an overlying flexible surface, there exists a great variety of permutations on any given design. At current work presents a 1D model for GFB with couple solving Reynolds and Euler-Bernoulli beam equation. This mean top foil assume to... 

    A Study on Automatic and Early Detection of Lameness in Dairy Cattle

    , M.Sc. Thesis Sharif University of Technology Honarvar Mahjoobin, Mohammad Hadi (Author) ; Akbari, Javad (Supervisor)
    Abstract
    Lameness in dairy cattle is a crucial welfare issue in dairy industry, and over the years scientists are attempting to present a detection method. In recent years it is attracting more attention to make the identification and discrimination of sounds and lames systematic and automatic. Right now, the most hopeful results have been obtained through the measurement of Ground Reaction Forces (GRF) of hooves, and analysis of load distribution between four legs, which seems applicable for wide use in dairy industry. However, the accuracy, validity, and reliability of discrimination is still far from an acceptable point, that is because of a great lack in understanding quantitative effects of the... 

    Boron Isotope Separation by Distillation of BF3-(C2H5)2O Complex

    , M.Sc. Thesis Sharif University of Technology montazeri, Meysam (Author) ; Otukesh, Mohammad (Supervisor) ; Ahmadi, Javad (Supervisor)
    Abstract
    Natural boron consists of two stable isotopes, mass 10 (19.3%) and mass 11 (80.7%). 10B isotope has a large thermal neutron capture cross-section and it therefore, used widely in such aspects as modern industry, military equipment, medical science and so on. specially the demand of atomic energy industry for the boron isotope is increased severely. So the separation of 10B from natural boron has received very wide attention at present. There are many kinds of methods on the boron isotopes separation, such as chemical exchange reaction and distillation in boron trifluoride method, ion exchange in boric acid solution method, counter current recycle membrane cascades in boron trifluoride...