Loading...
Search for: fazli--n
0.099 seconds

    Envy free chain store pricing

    , Article 2011 CSI International Symposium on Computer Science and Software Engineering, CSSE 2011, 15 June 2011 through 16 June 2011 ; June , 2011 , Pages 44-47 ; 9781612842073 (ISBN) Fazli, M ; Nikparto, N ; Saghafian, M ; Sharif University of Technology
    2011
    Abstract
    In this paper we study envy free pricing problem in general graphs where there is not a seller in every graph's nodes. We assume unique establishment cost for initiating a store in each node and we wish to find an optimal set of nodes in which we would make the maximum profit by initiating stores in them. Our model is motivated from the observation that a same product has different prices in different locations and there is also an establishing cost for initiating any store. We consider both of these issues in our model: first where should we establish the stores, and second at what price should we sell our items in them to gain maximum possible profit. We prove that in a case of constant... 

    Regio- and Stereoselective Synthesis of Dispiropyrrolidineoxindole Derivatives by Using Classical and Microwave Conditions, and Molecular Docking Studies of Them as Potential Cyclin Dependent Kinases (CDK5) Inhibitors

    , Article Polycyclic Aromatic Compounds ; Volume 43, Issue 8 , 2023 , Pages 6898-6910 ; 10406638 (ISSN) Matloubi Moghaddam, F ; Hosseinzadeh, N ; Fazli, H ; Sadredini, S ; Foroumadi, A ; Sharif University of Technology
    Taylor and Francis Ltd  2023
    Abstract
    A Solvent-free microwave-assisted green approach has been presented the synthesis of dispiropyrrolidineoxindole compounds with regio- and stereoselectivity and the excellent yields in short reaction times. A comparative study of the synthesis of dispiropyrrolidineoxindole derivatives by conventional heating and microwave condition has been described by the cycloaddition of azomethine ylides generated from sarcosine and isatin with the dipolarophile aurones. Molecular docking studies were carried out to explore the synthesized bispirooxindoles as inhibitors of CDK5. One of these compounds exhibited excellent binding affinity for cyclin dependent kinases (CDK5). Also, the structures were... 

    Preparation of Ag-Al₂O₃ nano structures by combustion method and investigation of photocatalytic activity

    , Article International Journal of Applied Ceramic Technology ; Volume 18, Issue 6 , 2021 , Pages 2064-2074 ; 1546542X (ISSN) Einafshar, E ; Khodadadipoor, Z ; Fazli, M ; Einafshar, N ; Mohebbi Zinab, J ; Asaei, S ; Sharif University of Technology
    John Wiley and Sons Inc  2021
    Abstract
    In this research, Ag-Al2O3 nanostructures have been prepared via combustion synthesis and ammonium acetate and urea have been applied as fuels. The prepared Ag-Al2O3 nanostructures were characterized by DTA, XRD, SEM, TEM, and BET spectroscopy. The effect of different ratios of silver to alumina and fuel percentage on morphology and particle size of prepared products were investigated. The results showed that using ammonium acetate fuel led to the production of Ag-γ-Al2O3 nanocompounds, while using urea produced Ag-α-Al2O3. Also, the photocatalytic activity of Ag-Al2O3 nanostructures for Congo red degradation was evaluated by UV-Vis diffuse reflectance spectroscopy. The photocatalytic... 

    Design of tensegrity structures for supporting deployable mesh antennas

    , Article Scientia Iranica ; Volume 18, Issue 5 , October , 2011 , Pages 1078-1087 ; 10263098 (ISSN) Fazli, N ; Abedian, A ; Sharif University of Technology
    2011
    Abstract
    This paper is an attempt to develop a design methodology for a special deployable structure for potential use in micro-satellites. The basic form of this structure is a hexagonal prismatic tensegrity structure, which, after being rigidified, is used as the supporting structure of a mesh-like antenna. Here, the objectives of presenting the design methodology are to prevent structural elements from failure, while maintaining the structural natural frequency and mesh tension above an intended value and in addition, to minimize the overall mass. Here, the suggested design strategy combines the need for a behavioral study (i.e. fast and wide range evaluation) at the beginning of the design, with... 

    Modeling and Simulation of the Behavior of Cancer Cells, A Multi-agent Approach

    , M.Sc. Thesis Sharif University of Technology Fazli, Rasol (Author) ; Habibi, Jafar (Supervisor)
    Abstract
    Cancer is a complicated disease. So, cancer treatment can not be possible without understanding its complex behavior. Each of cells do inner operations spontaneously and have interactions on external environment. This feature of cells has caused to model their behaviors using multi-agents and considering each cell as an intelligent agent. Using this approach, a novel multi-scale agent-based model known as basic model has been introduced. Furthermore, two signaling pathways have been added to this model. For simulation, a new agent-based modeling framework has been proposed. After that, learning has been involved, for considering drug effects. Finally, by means of this model we can predict... 

    Analyzing Permission Abuses in the Android Operating System

    , M.Sc. Thesis Sharif University of Technology Fazli, Zahra (Author) ; Kharrazi, Mehdi (Supervisor)
    Abstract
    Android phones are widely used now. Convenient user interface and various applications for these devices has played a significant role in their success. The wide usage of these devices besides the nature of their applications lead to collect lots of sensitive information on them. Consequently the protection of this information is very important. The unfamiliarity and the inattention of the most of smart phone users to security issues highlight the importance of the data protection and the privacy. The permission access in Android operating system is static and users should permit applications to access the requested permissions on installing them. Also these programs can use their... 

    Optimizing Best Response Games on Social Networks

    , Ph.D. Dissertation Sharif University of Technology Fazli, MohammadAmin (Author) ; Habibi, Jafar (Supervisor)
    Abstract
    Controlling dynamical systems is an important area of research, having many applications in related practical fields. One class of dynamical systems which have obtained ever-growing importance in recent years are networked dynamical systems, in which dynamic behavior is observed on nodes interacting in a networked setting. This is mainly due to the rise of complex networks, e.g. social networks, as an important and powerful method of capturing dynamic behavior that exists in different systems. One important aspect of such systems is that in many scenarios, actors that participate in them are selfish and act rationally based on their own self interest. Therefore guiding such systems to... 

    Multi-view approach to suggest moderation actions in community question answering sites

    , Article Information Sciences ; Volume 600 , 2022 , Pages 144-154 ; 00200255 (ISSN) Annamoradnejad, I ; Habibi, J ; Fazli, M ; Sharif University of Technology
    Elsevier Inc  2022
    Abstract
    With thousands of new questions posted every day on popular Q&A websites, there is a need for automated and accurate software solutions to replace manual moderation. In this paper, we address the critical drawbacks of crowdsourcing moderation actions in Q&A communities and demonstrate the ability to automate moderation using the latest machine learning models. From a technical point, we propose a multi-view approach that generates three distinct feature groups that examine a question from three different perspectives: 1) question-related features extracted using a BERT-based regression model; 2) context-related features extracted using a named-entity-recognition model; and 3) general lexical... 

    Single-layer MoS2-MoO3-x heterojunction nanosheets with simultaneous photoluminescence and co-photocatalytic features

    , Article Catalysts ; Volume 11, Issue 12 , 2021 ; 20734344 (ISSN) Saadati, M ; Akhavan, O ; Fazli, H ; Sharif University of Technology
    MDPI  2021
    Abstract
    Single-layer MoS2-MoO3-x heterojunction nanosheets with visible-light-sensitive band gap energy and average lateral dimensions of ~70 nm were synthesized by using a two-step combined exfoliation method. The exfoliation was initiated from pristine MoS2, while some sulfur sites in expanded MoS2 sheets during exfoliating were substituted by ambient non-thermal oxygen, resulting in formation of α-MoO3-x crystalline domains. The morphological features, crystalline structure, phase formation, number of layers, and optical properties of the MoS2-MoO3-x nanosheets were determined by atomic force microscopy; X-ray diffraction; field emission electron microscopy; transmission electron microscopy; and... 

    Propose a Model to Minimize Energy Consumption in Turning Machining Operations

    , M.Sc. Thesis Sharif University of Technology Fazli, Erfan (Author) ; Fatahi-Valilai, Omid (Supervisor)

    Predicting Opponent’s Movement in Dota 2

    , M.Sc. Thesis Sharif University of Technology Bashiri, Vahid (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    Video games with respect to an ever Increasing player pool and Industry growth, have attracted a lot of attention in recent years. Dota 2, as one of the most successful games both in casual gamers’ community and E-sport community, is considered as a proper case study, however, most of the research done was limited to predicting games’ outcome. Despite The popularity, the rather unintelligent AI of the game has made quite a frustrating experience for new players. In this research, with a novel approach, hero features are used to predict their future positions. For this purpose, 35 professional games are collected and analyzed and 601 features are extracted. Then, suitable features are... 

    An Intelligent Triangular Pattern Recognition in Stock Price Charts

    , M.Sc. Thesis Sharif University of Technology Hedayati, Emadeddin (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    Stock price patterns are a technical analysis approach to forecast future trends with tremendous practical benefits. However, the current algorithms solely rely on machine learning techniques and deep neural networks which could be a problem in countries where data sets such as these are not available. We propose an algorithm based on geometry and mathematics for this problem, leading to an O(n^3logn + n^2k) complexity, where k is the number of triangular patterns  

    Predicting Usefulness of Code Review Comments Using Machine Learning Algorithms

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Atefeh (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    The competition for staying in the business world has intensified today with the rise of open-source and commercial software. As long as a software is tailor-made to suit the needs of users, it is so-called alive and can stay in the competition. So the maintenance phase is necessary to make changes to the software to meet the needs of users. To reduce costs associated with this phase, it is necessary to avoid software bugs. One way to avoid software bugs is to use peer code review. Peer code review has been recognized as one of the best software engineering principles of the last 35 years. This principle helps maintain the quality of the code due to changes made to parts of the code that... 

    Political Tweet Classification with Active Learning

    , M.Sc. Thesis Sharif University of Technology Mirzababaei, Sajad (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    Deep learning algorithms combined with supervision rely heavily on labeled data, posing challenges in the data labeling process. Addressing this issue, researchers in the field of machine learning have focused on developing approaches to reduce the dependency on labeled data and improve the efficiency of data collection for labeling purposes. This thesis investigates the training of a classification model using data collected through a human-in-the-loop system. Notably, this research pioneers the application of active learning techniques to differentiate between political and non-political Persian tweets. The dataset introduced in this study is the sole available collection for this specific... 

    Representation Learning for Dynamic Graphs

    , M.Sc. Thesis Sharif University of Technology Loghmani, Erfan (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    Representation learning methods on graphs have enabled using machine learning methods on graphs' discrete structure by transferring them to a continuous domain. As graphs' structures are not always static and may evolve through time, dynamic representation learning methods have recently gained scholars' attention. Several methods have been proposed to enable the model to update the embeddings graph changes, or new interactions happen between nodes. These online methods could significantly reduce the learning time by refreshing the model as the changes occur, so we don't need to retrain the model with the complete graph information. Moreover, by using the temporal information of interactions,... 

    The Effects of Content-Based Features on Improving Code Review Automation

    , M.Sc. Thesis Sharif University of Technology Sadri, Marzieh (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    In the world of software development, Code Review is one of the most vital processes to ensure code quality and security. The textual content features in code review comments play a significant role in assessing quality and guiding the review process. This research aims to examine the importance and role of these features in identifying anti-social comments and improving code review processes. In this study, we first challenge the concept of toxicity in code review comments, which had previously been accepted as a concept in the field of code review. We focus on enhancing and automating code review processes by accurately and reliably detecting anti-social comments based on relevant... 

    Design and Implementation of an Intelligent Agent for Automatic Configuration of Content Delivery Servers

    , M.Sc. Thesis Sharif University of Technology Lotfi, Hossein (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    Content delivery networks play a significant role in improving the quality of internet services by placing the necessary content closer to users on servers. Currently, over half of internet traffic is delivered through these networks to end users. The efficiency of a content delivery network depends on various parameters, including the type of requested content, workload distribution methods, network topology, routing algorithms, caching policies, network server configurations, and resource allocation (shared or dedicated hardware resources). Additionally, the requests made to a content delivery network vary based on the type of service and even the time of day, making optimization a... 

    Workflow Ensemble Scheduling in Edge-Based Infrastructures using Game Theory

    , M.Sc. Thesis Sharif University of Technology Parto, Hossein (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    With the expansion of the Internet of Things and the significant increase in latencysensitive applications, cloud computing is facing serious challenges. In order to solve the challenges of cloud computing and respond to the needs of delay-sensitive applications, the concept of edge computing is proposed. In edge-based infrastructures, computing resources are located near the network edge and end devices. These infrastructures can better serve latency and security sensitive applications that require low processing and high interaction with end devices. However, achieving the benefits of edge-based infrastructure requires optimal resource management. One of the effective steps for optimal use... 

    Optimization of CLLC Resonant Converter for Increasing Reliability Considering Power Density of Bidirectional EV Charger

    , M.Sc. Thesis Sharif University of Technology Fazli, Mohammad Reza (Author) ; Tahami, Farzad (Supervisor)
    Abstract
    With the proliferation of electric vehicles (EVs), the batteries in millions of EVs are anticipated to become the most cost-effective method of energy storage. By using a bidirectional charger, energy can be stored in vehicles during off-peak hours and then returned to the grid during peak consumption times. The CLLC resonant converter is a suitable circuit for bidirectional power conversion in applications like bidirectional EV chargers. This thesis aims to reduce power losses and increase operating frequency by incorporating wide bandgap (WBG) transistors. Additionally, the use of planar transformers is pursued due to their low profile and the capability to control both magnetizing and... 

    A Reinforcement Learning Framework for Portfolio Management Problem Leveraging Stocks Historical Data And Their Correlation

    , M.Sc. Thesis Sharif University of Technology Taherkhani, Hamed (Author) ; Fazli, Mohammad Amin (Supervisor)
    Abstract
    Over the past few years, deep reinforcement learning(DRL) has been given a lot of attention in finance for portfolio management. With the help of experts’ signals and historical price data, we have developed a new reinforcement learning(RL) method. The use of experts’ signals in tandem with DRL has been used before in finance, but we believe this is the first time this method has been used to solve the financial portfolio management problem. As our agent, we used the Proximal Policy Optimization(PPO) algorithm to process the reward and take actions in the environment. Our framework comprises a convolutional network to aggregate signals, a convolutional network for historical price data, and...