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    Optimization of Radiotherapy Plan under Uncertainty

    , M.Sc. Thesis Sharif University of Technology Amir, Atabeiki (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    As a method of cancer treatment or improvement of cancer-related complications, external radiation therapy is prescribed by physicians, in case of detection of a tumor in a region of patient’s body. Over time, various techniques have been developed for external beam radiation therapy. Among which, Intensity Modulated Radiation Therapy (IMRT), due to its ability to adjust the intensity of radiation beams, has a higher capacity to generate appropriate dose distribution based on tumor size and volume and it is one of the most widely used techniques in cancer treatment centers.The core process in treatment planning is using appropriate computer algorithms which results in posing enough damage to... 

    Location and Relocation of Ambulances under Uncertainty Conditions

    , M.Sc. Thesis Sharif University of Technology Firooze, Saeed (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    The aim of Emergency Medical Services (EMS) is to provide fast medical care and to transport patients to hospitals at the earliest possible time, so as to reduce injury and fatality rate. Healthcare managers try to improve healthcare systems by reducing the response time to demands. In this thesis, we present mathematical models for the problem of location and relocation of emergency vehicles after the end of their service time or after they have returned to a hospital. We believe that implementing these models can help managers improve the performance of emergency medical services. In the first part of this study, we present a two-level deterministic optimization model considering demand... 

    Experimental Study on Extracting Clean Energy from Vortex Induced Vibration

    , M.Sc. Thesis Sharif University of Technology Mohtat, Pouya (Author) ; Abbaspour, Majid (Supervisor)
    Abstract
    Two experimental models were designed and tested to extract energy from vortex induced vibrations of a elastically mounted one degree of freedom rigid cylinder in the Reynolds range of 120000 < Re <220000. In the first model the amplitude and frequency of the movement was measured then a second model was designed to be tested in the Emam Hossein marine laboratory. The model was designed in a way that many of its properties like mass ratio, spring constant and damping coefficient were able to be altered. In this study the vortex induced vibration of an elastically mounted cylinder was scrutinized in high Reynolds and very low mass ratios for the first time and an amplitude ratio of 2.49 were... 

    Proposing a Solution Algorithm for Operating Room Scheduling Problem Using Open Scheduling and Elective Patient Strategy

    , M.Sc. Thesis Sharif University of Technology Iranzad, Reza (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    Operating rooms have always been the most expensive and also the most profitable section in hospitals which include approximately one third of cost and two third of income. The management always wants to decrease the cost of hospitals. On the other hand, usually this goal stands against other goals such as patient’s satisfaction. So the manager should make a balance between these goals. In this research, we will propose an integer programming model for operating room scheduling problem without uncertainty for elective patients. In order to make the model more realistic, we want to make connection between operating room theatre and intensive care units. Also, we will consider desirable... 

    Welding Metallurgy and Weldability of Martensitic Advanced High Strength Steel and Duplex Stainless Steels during Resistance Spot Welding

    , M.Sc. Thesis Sharif University of Technology Sobhani, Saeed (Author) ; Pouranvari, Majid (Supervisor)
    Abstract
    Duplex stainless steels and advanced high strength steels are both known as new materials in automobile industry applications. Process of resistance spot welding is the main process in welding of auto-body structures. Hence investigating the welding metallurgy and weldability of similar and dissimilar joints of duplex stainless steels and advanced high strength steel are crucial. The purpose of this study is to analyse the relationship between welding process and geometric characteristic of weld nugget, phase transformations of Weld nugget and heat affected zone, mechanical properties (i.e force bearing capacity and energy absorption capability) and failure mode (interfatial or pullout). in... 

    Investigation of Microstructural Evolutions During Dissimilar TLP Bonding of IN792 and Hastelloy X Nickel Based Superalloys

    , M.Sc. Thesis Sharif University of Technology Ghasemi, Ali (Author) ; Pouranvari, Majid (Supervisor)
    Abstract
    In this thesis, macrostructural evolutions in dissimilar TLP bonding of as-cast nickel based supperalloy IN792 to wrought HX was investigated. In the first step of this study solidification behavior of Ni-Cr-Fe-Si-B (MBF-15) interlayer in presence of HX as base metal at 1120 °C was surveyed. In second step, bonding of HX/HX, IN792/IN792 and HX/IN792 systems with MBF-15 interlayer at 1120 °C and different times were studied and isothermal solidification time and factors that affect this stage were discussed. In third step, synchronization of dissimilar bonding with standard heat treatment cycle of IN792 was investigated and effect of this cycle on aging response of different zones, isothermal... 

    Fluence Map Optimization in IMRT Planning under Uncertainty

    , M.Sc. Thesis Sharif University of Technology Alimohammadi, Maryam (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    Cancer is one of the main causes of death among all people around the world. This shows that more and more attention should be paid to cure cancer. One of the most common cancer treatments is radiation therapy. Among all radiation therapy treatments, Intensity-Modulated Radiation Therapy is a very effective and flexible ways to treat cancer. There are numerous mathematical problems to find the perfect treatment plan. One of these mathematical problems is Fluence Map Optimization in which we try to find the best dose intensity for each tumor and surrounding organs. The main purpose in this problem is to minimize the number of cancerous cells which are being destroyed while minimizing the... 

    Optimal Design of Hydrofoil for Marine Current Turbine

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Sina (Author) ; Abbaspour, Majid (Supervisor)
    Abstract
    Marine current power has been utilized in recent years as one of the most foreseeable renewable energy sources. In this study a multi-objective hydrofoil optimal design is carried out for use in marine current turbine in order to improve hydrodynamic performance due to low speed current in Qeshm channel. A particle swarm optimization code using FORTRAN is developed and coupled with XFoil software as flow solver that is based on panel method. B-spline curve is used to parameterize the hydrofoil shape and the coordinates values of the control points are designated to act as optimization parameters. Validity of flow solver examined by comparison made between computed data against experimental... 

    An Online Portfolio Selection Algorithm Using Pattern-matching Principle

    , M.Sc. Thesis Sharif University of Technology Azin, Pejman (Author) ; Khedmati, Majid (Supervisor)
    Abstract
    According to the rise of turnover and pace of trading, accelerating of analysis and making decision is unavoidable. Humans are unable to analyze big data quickly without behavioral biases so, using machines to analyze big data seems critical. Hence, financial markets tend to apply algorithmic trading in which some techniques like data mining and machine learning are notable. OLPS which sequentially allocates capital among a set of assets aiming to maximize the final return of investment in the long run, is the core problem in algorithmic trading. This article presents an online portfolio selection algorithm. The online portfolio selection sequentially selects a portfolio over a set of assets... 

    Prioritizing and Clustering Customers in a Supply Chain with Perishable and Fast Moving Consumer Goods (FMCG) (Case Study of Ramak Company)

    , M.Sc. Thesis Sharif University of Technology kargar, Sanaz (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    Knowing different groups of customers and building effective communication with them in such a way as to guarantee the future economic interests of the organization is a very important issue in today's businesses. The attraction of profitable customers, as well as the preservation of valuable old customers, are both important, except for the precise identification of their features. The value of customer longevity plays an important role in customer segmentation, and there are numerous researches that focuses on customer value with the aim of making more profit for the organization, most of which have life-cycle customer value models as the main inputs for segmentation cCustomers have been... 

    Providing a Method Based on Signal Transformations and Machine Learning Tools for Forecasting in Stock Market

    , M.Sc. Thesis Sharif University of Technology Parhizkari, Amir (Author) ; Khedmati, Majid (Supervisor)
    Abstract
    Obtaining high profit is the ultimate goal of an investor in the financial market. The key to achieve high profits in stock trading is to find the right time to trade with minimum business risk. However, it is difficult, often, to make decision about the best time to buy or sell some stocks due to the extremely dynamic and volatile behavior of the stock market. In order to resolve these problems, two steps have been followed in this research:1) Create a model to predict the final price of the stock with small error rate, and 2) Suggest the best stocks for trading to the trader. In order to achieve the goals of the first step, the stock price data of Hcltech, Maruti, Axisbank is selected and... 

    Studying of Micro-structure and Mechanical Properties of Resistant Spot Welds of Nickel Base Super Alloys

    , M.Sc. Thesis Sharif University of Technology Bemani, Milad (Author) ; Pouranvari, Majid (Supervisor)
    Abstract
    Resistance spot welding is one of the fabrication processes of gas turbines. Due to few published works about using RSW for joining participation hardened nickel base super alloys like Nimonic C263 and solid solution hardened ones like Hastelloy X, this work tries to investigate the microstructure and mechanical properties of RSW joints of these super alloys. In phase one, effect of welding current on structural properties of welds, hardness profile from the center of the weld to the edge of it, failure mod and failure energy were investigated. In phase two, effect of standard heat treatment of Nimonic C263 and the initial microstructure of the base metal on the micro-structure and... 

    Providing a Solving Method for Post-Earthquake Resource Allocation Model with Uncertainties

    , M.Sc. Thesis Sharif University of Technology Jamshidi, Fatemeh (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    Large amounts of relief resources such as water, tents, medical equipment and fuel after a major disaster need to reach the affected people. Satisfying the needs of victims is crucial to the success of crisis relief operations, as a lack of relief resources can lead to the suffering and loss of lives of victims. According to studies, large-scale catastrophes have occurred frequently in recent years. Therefore, it is necessary to pay more attention to the management of post-crisis resources. Since the distribution of emergency resources depends largely on the efficiency and effectiveness of logistics operations, the primary objectives include minimizing logistics time and cost, minimizing... 

    Contextual Data Analysis in Online Hotel Businesses

    , M.Sc. Thesis Sharif University of Technology Kookhahi, Ahmad (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    in this study we intend to build a recommender system, more specifically We try to build a multi-criteria collaborative filtering. Collaborative filtering is one of the methods used in building of recommender systems. In this study, we use technical attributes to build a recommender system. Technical attributes refer to the attributes which focus on the writing style of the texts. After building the recommender system based on technical attributes, we also build a recommender system based on the conventional criteria in order to make a comparison between these two criteria. Collaborative filtering consists two major categories, namely memory-based and model-based that both of them have been... 

    Investigation on Interfacial Reactions in Aluminium to Copper Resistance Spot Welding

    , M.Sc. Thesis Sharif University of Technology Zare, Mohammad (Author) ; Pouranvari, Majid (Supervisor)
    Abstract
    With the development of electrical engineering and the electrical industry, the use of copper and its alloys has grown tremendously. On the other hand, with development and modern industry, it will be difficult to meet the requirements such as high performance, cost reduction and weight reduction of the structure if only one metal material is used in the production of the desired component or structure. Aluminum can be used in combination with copper because of its properties such as high thermal and electrical conductivity. Al/Cu bonding is used in industries such as microelectronics, automobiles and batteries. This study has investigated parametrically the feasibility of uneven bonding of... 

    Analyzing Customers' Reviews in Online Businesses and their Impact on Product Sales

    , M.Sc. Thesis Sharif University of Technology Ezzati, Farzane (Author) ; Majid, Rafiee (Supervisor)
    Abstract
    In recent years, the attention of marketing researchers has shifted from numerical product rating to user-generated content. Because of this, customers' online reviews now play a very important role in the destiny of Internet businesses. Today, huge and comprehensive platforms have been developed to record and analyze online customer reviews. This type of unstructured data that users and Internet shoppers create based on their experiences of using products and services, has a significant impact on gaining and losing the trust of other users. After reading each review, each user can express their opinion about the usefulness of that comment, which can be seen by others. Large Internet... 

    Predicting Football Match Results Using Data Mining Techniques

    , M.Sc. Thesis Sharif University of Technology Bakhoda, Ali (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    Recently, data scientists have been paying much attention to sports. Many researches have been done in this field, using data mining and machine learning techniques. The following research aims to predict the results of football matches, which consists of two general approaches. For the first and second approaches, we used video game data and match statistics, respectively. In both approaches, it was tried to predict not only the final result (win, draw, or loss) but also the final goal difference. In the first approach, the home team victory was predicted by 73% accuracy, the draw by 75.4%, and the home team defeat by 73.7%. Nevertheless, in the second approach, the home team victory was... 

    Proposing a Hybrid Approach based on Deep Learning Algorithms for Stock Market Prediction

    , M.Sc. Thesis Sharif University of Technology Mobasseri, Niloofar (Author) ; Khedmati, Majid (Supervisor)
    Abstract
    Now a day, stock price prediction is known as one of the most challenging activities in the financial field. Research in price prediction models in financial markets, despite its many challenges, is still one of the most active areas for research. The price of non-linear financial assets is dynamic and unpredictable. Therefore, it is very difficult to arrangement and predict financial time series. Recently, many studies demonstrate that checking the news published in relation to a stock can significantly improve the accuracy of the prediction model.Among the latest techniques available for stock price prediction, we can mention deep learning models, which due to their high ability to... 

    Considering the Stratification in Multi-criteria Decision Making to Make a Stable Decision under Uncertainty

    , M.Sc. Thesis Sharif University of Technology Sharifi, Shayan (Author) ; Rafiee, Majid (Supervisor)
    Abstract
    In today's world, decision-making has become one of the main problems and challenges for managers, despite the conflicting goals and the different scenarios. On the other hand, most existing decision-making methods are not applicable to all issues in different decision-making environments. Therefore, in this study, by presenting a new algorithm, these concerns have been reduced and a new method has been proposed using the concept of stratification recently introduced by Lotfi Zadeh. In the present study, a single system multi stratification and multi-system multi stratification are presented, which provide managers with an easier understanding and analysis of each system so that they can... 

    Monotonic Change Point Estimation in Multistage Profiles

    , M.Sc. Thesis Sharif University of Technology Sepasi, Shabnam (Author) ; Khedmati, Majid (Supervisor)
    Abstract
    In this thesis, a hybrid method is proposed to estimate the change point in the parameters of simple linear profiles in multistage processes under monotonic changes. In monotonic changes, the type of change is not known a priori, and the only assumption is the changes are of non-decreasing (isotonic) or non-increasing (monotonic) type. In the proposed method, at first, the stages and the parameters experiencing the change are identified and then, the changes occurred in these stages and parameters are identified and examined based on the moving window approach and support vector machine (SVM) algorithm. Finally, the maximum likelihood estimator of the change point is proposed. The...