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Reducing the Flow Rate of Short Circuit Fault Current at the Output of the High Voltage Power Supply
, M.Sc. Thesis Sharif University of Technology ; Kaboli, Shahriar (Supervisor)
Abstract
In this research, we have presented a method to delay the propagation of fault current in high voltage power supplies. Common protection methods usually protect the load and do not protect the power supply itself well. In this research, our goal was to propose a method to prevent the short circuit fault current from reaching the power supply elements. At first, the available methods to limit the fault current and protect the high voltage power sources were studied and investigated. Then, using the transmission line theory, a ladder filter was designed as an alternative to the normal filter at the output of the power supply. In the next step, using software simulation, the performance of the...
Analysis of a Ultra Narrow Pulse Width High Voltage Generator
, M.Sc. Thesis Sharif University of Technology ; Kaboli, Shahriar (Supervisor)
Abstract
A Tesla charged PFL Bipolar pulsed power generator has been successfully designed and simulated. The compact Tesla transformer that it employs has successfully charged capacitive loads to peak voltages up to 0.6 MV . The Tesla–driven PFL generator is capable of producing a voltage impulse approaching .3 MV with generating a peak electrical power of up to 1.8 GW for 5 ns when connected to a matched resistive load. Potentially for medical application, a bipolar former has been designed and successfully simulated as an extension to the system and to enable the generation of a sinusoid-like voltage impulse with a peak-to-peak value reaching 600 kV and having a frequency bandwidth beyond 1 GHz....
Design and Implement of Very Low Frequency AC Voltage Source
, M.Sc. Thesis Sharif University of Technology ; Kaboli, Shahriar (Supervisor)
Abstract
With the expansion of the use of electric energy, the importance of sustainable supply of this energy has been revealed. The task of supplying this energy is with power systems, therefore, for a stable supply of electrical energy, it is necessary to continuously monitor the systems. Power systems are composed of various destructible components such as cables. There are various methods and tests for maintaining and monitoring power cables. One of the daily maintenance methods of alternating current cables is called very low frequency testing. The main advantage of this test is the small and portable nature of the test equipment. In this thesis, the design of a very low frequency alternating...
Bayesian Filtering Approach to Improve Gene Regulatory Networks Inference Using Gene Expression Time Series
, M.Sc. Thesis Sharif University of Technology ; Fatemizadeh, Emadoddin (Supervisor) ; Arab, Shahriar (Co-Advisor)
Abstract
Gene regulatory modeling in different species is one of the main aims of Bioinformatics. Regarding the limitations of the data available and the perspectives which should be taken into account for modeling such networks, proposed methods up to now have not yet been successful in yielding a comprehensive model. In one of the recent researches, the Gene regulation process is considered as a nonlinear dynamic stochastic process and described by state space equations. Afterwards, in order for the unknown parameters to be estimated, Extended Kalman Filtering is used. In this thesis, first of all, Gene complexes are taken into consideration instead of genes and afterwards, Extended Kalman...
Dynamic Pricing of Perishable Products Considering the Advertisement
, M.Sc. Thesis Sharif University of Technology ; Modarres, Mohammad (Supervisor)
Abstract
Seasonal Products are a group of products with a limited life time. If seasonal products are not sold during a specified time, they have to be sold at a salvage price which is close to zero. Although one can find many studies in the literature regarding pricing of this type of products in order to maximize the profit, none of them have considered the simultaneous effect of both advertising and pricing. The objective of this paper is to introduce an integrated model of dynamic pricing and advertising for seasonal products. The advertisement is classified into two main categories; to advertise a specific type of product and to advertise the brand of the company. To obtain the mentioned goal,...
Method of Estimating the Response Modification Factor for Stiffened Steel Shear Wall Systems
, M.Sc. Thesis Sharif University of Technology ; Bakhshi, Ali (Supervisor)
Abstract
Steel shear wall systems have been introduced as a lateral load resisting system since 1970s. Based on the designer’s choice, this system can be used with or without stiffeners. Employing stiffeners prevents the elastic buckling of steel plates which can enhance the system to absorb more energy. The design code for using stiffners has not developed yet in Iran since this kind of systems is not common practice. In this study, the Response Modification Factor (R), as an important factor in the design procedures of structures, is investigated for 2 to 10-story building structures which have steel shear walls with 3 and 6 millimeters thickness with 3, 4 and 6 meters spans.To this end, the...
Tracking Consumers Throughout Their Purchase Journey: Using Deep Learning Methods
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
Over the past two decades, the interest in exploring consumers' behavior has risen to popularity. Nowadays, it is necessary for marketers to reach out to the right consumers at the right time and with the right message. Even though the positive impact of tracking consumers throughout their purchase journey and its managerial implications have been emphasized several times by academics, There is still a lack of practical research on how to discern the consumers' stage in the purchase journey from a holistic point of view. In this study, we develop several machine learning models, including RNNs (GRU and LSTM), Transformers, and XGBoost, by utilizing historical data of Yektanet (the leading...
A Study on Strategic Behavior of Drivers on Ride-hailing Platforms
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
Recently, the advent of online platforms as an intermediary tool has provided an opportunity for service providers and manufacturers to offer their services/products to consumers. Ride-hailing platforms are an example of these businesses where independent drivers and passengers are matched via an online platform. One of the most significant challenges faced by these companies is the emergence of strategic behaviors on both the demand and the supply side, which might affect the performance and profitability of the platform.In this thesis, we study the strategic behavior of drivers and its impact on their performance, using the data of one of the largest ride-hailing companies in Iran. We use...
Supply Chain Risk Study for Downstream Projects of Oil and Gas Industry in Iran
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
There are always some unpredictable phenomena happen in the process of constructing of a downstream petrochemichal plant resulting to delays that increase the cost compared with the benefits or sometimes cancelation of the projects that abodones the investors from the returns at all. On of the reasons that these issues can dwibdles the benefits is that most of Iranian’s downstream companies do not prepare suitable and sufficient capabilitities to cope with such a risks. In this thesis, at first, influensive risks on the downstream oil and gas projects in Iran have been studied based on a comprehensive litreture review, secondly using a questionnaire, these extracted risks have been assessed...
E-WOM and Customer Satisfaction in Robotic vs Traditional Hotels: A Topic Modeling Analysis
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
This research examines the attributes, themes, and topics discussed in electronic word-of-mouth (e-WOM) generated in TripAdvisor for robotic hotels in comparison to traditional ones. The first objective is to explore the themes and topics within TripAdvisor negative e-WOMs for both types of hotels and analyze how these topics differ between the two types of hotels, using the Latent Dirichlet Allocation (LDA) method. The research shows that which topics are mostly discussed in TripAdvisor negative e-WOMs for both types of hotels. Additionally, the research explores whether different themes, topics, and attributes have varying effects on user ratings in traditional hotels versus robotic ones,...
A Comparative Analysis of Positive eWOM Topics in Robotic and Conventional Hotels: Insights from TripAdvisor Reviews
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
This study explores topics discussed in positive eWOM of robotic and conventional hotels through a comprehensive analysis of online reviews using Latent Dirichlet Allocation (LDA). LDA is an advanced topic modeling technique. To uncover topics discussed in eWOM of robotic hotels and conventional hotels, and then compare them to see if there are any meaningful statistical differences between them, three separate LDA models were implemented on reviews of robotic hotels, conventional hotels, and the overall rereviews of all hotels, respectively. The results reveal that “service quality and overall atmosphere” is the most common topic discussed considering both hotel types, with key themes...
Sentiment-Based Topic Analysis on Product Demand Prediction: Pre-Release and Post-Release Study
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
This thesis examines the impact of electronic word-of-mouth (e-WOM) on product demand forecasting, specifically in the context of video game consoles. This study examines the importance of emotion-based topics and their impact on demand forecasting at two stages of the product life cycle: pre-launch and post-launch. Using sentiment analysis and topic modeling, this study uncovers product sales drivers and captures evolving consumer sentiment throughout the product lifecycle. By integrating insights from diffusion theory and consumer information search theory, this research contributes to the field of demand forecasting using social media data. This research shows that by using the topics...
Mining the Tenant Experience: Uncovering the Determinants of Residential Satisfaction through Topic Modelling of Online Rental Apartment Reviews
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
Residential satisfaction plays a pivotal role in shaping liveable cities, profoundly influencing individuals' health and well-being. In contrast, dissatisfaction in living environments often triggers relocation intentions, leading to significant vacancy costs for landlords and property managers. While previous studies predominantly relied on traditional methods like surveys and interviews, our research adopts a novel, bottom-up approach, analysing this phenomenon through the lens of residents themselves. Leveraging a custom-developed Python-based web scraper, we meticulously gathered 195,000 online reviews from apartments.com. This comprehensive dataset spans the most populous cities and...
Examining Customer Behavior In Regarding OBA
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
In recent years, Internet advertising has become increasingly customized to individual users. As advertising carry on refining its capacities, it is more likely to be seen as insightful and useful by everyone. Consumers, particularly Gen Y and older members of Gen Z, are becoming more accepting of relevant advertising as digital acquaintance. Consumers now welcome active advertising that responds and reflects social activity, location, and brand and product preferences in real-time. This ability to be agile within the consumer’s connected experience is an emerging revenue driver and will continue to grow as ad platforms and ad presentations become smarter. But more personalization results in...
Investigation on the Effect of Product Involvement in Online Targeted Advertising
, M.Sc. Thesis Sharif University of Technology ; Aslani, Shirin (Supervisor)
Abstract
Nowadays, one of the most popular methods of advertising is online advertising, which is commonly used by many businesses. In the meantime, targeting the right person at the right moment to show an advertisement is always a major concern of advertisers and other players in this field. One of the areas of study in the literature in this field is the investigation of factors affecting the effectiveness of targeted advertising. The purpose of the upcoming research is to investigate the impact of the advertised product involvement in targeted online advertising. This level of effectiveness is measured by considering click intention as a measure of effectiveness and examining the impact of...
Numerical and Experimental Analysis of Biomechanical Behavior in Persian Fixation Method for Distal Humerus Fractures
, M.Sc. Thesis Sharif University of Technology ; Nourani, Amir (Supervisor) ; Shahriar Kamrani, Reza (Supervisor)
Abstract
Distal humerus fractures commonly take place in adults with low bone mineral density causing major technical challenges upon orthopedic surgeons. Persian fixation method was introduced as a novel technique to stabilize small fragments in comminuted distal humerus fractures using a set of K-wires and reconstruction plate. The objective of the present study is to measure the stiffness and stability of this technique and analyze the effect of influential parameters with numerical simulation and biomechanical testing on a cadaveric specimen. Furthermore, we were able to propose new method to model plastic deformation of implants in surgery.Validation of the finite element (FE) model was...
On the fairness of airlines' ticket pricing as a result of revenue management techniques
, Article Journal of Air Transport Management ; Vol. 40, issue , August , 2014 , pp. 56-64 ; 09696997 ; Modarres, M ; Sibdari, S ; Sharif University of Technology
2014
Abstract
Pricing and availability of tickets have always been a source of confusion for customers in transportation industries. What is the best time to buy tickets? Why passengers taking the same flight might pay significantly different prices for the same seat? Why round trip tickets between two cities sometimes become cheaper than the one-way flights between them? Is it fair to buy a ticket for an itinerary cheaper than a ticket for just a part of it? These observations make customers wonder why they pay higher prices for shorter flights. In this paper, we study the airlines' revenue management systems and explain some of these pricing schemes in travel industries. We develop a simulator to study...
A decomposition approach in network revenue management: Special case of hotel
, Article Journal of Revenue and Pricing Management ; Volume 12, Issue 5 , 2013 , Pages 451-463 ; 14766930 (ISSN) ; Modarres, M ; Sibdari, S ; Sharif University of Technology
2013
Abstract
In this article, we address the multiple-night stay hotel revenue management. Using a decomposition method, we transform the multiple-night stay revenue management into a single night. To this end, we define effective arrival rate for each night that is derived from all the booking requests that contain the night, excluding the possible 'customer losses'. A customer is labeled 'loss' either because of the existence of an expensive night in his itinerary or because of a stock-out occurrence over his stay. We calculate the probabilities of these two incidents and then update the effective daily arrival rate, accordingly. In this way, we can use the classical single-night revenue management,...
Revenue management with customers' reference price: are the existing methods effective?
, Article Service Science ; Volume 10, Issue 2 , May , 2018 , Pages 195-214 ; 21643962 (ISSN) ; Sibdari, S ; Modarres, M ; Sharif University of Technology
INFORMS Inst.for Operations Res.and the Management Sciences
2018
Abstract
Existing revenue management methods and heuristics rely on specific demand-side assumptions such as customers' independent decisions over time. We relax the assumption that purchasing decisions depend only on the current price and are independent of previous prices of the same or similar products. On the contrary, we assume that customers' decisions depend on the product's past prices through a reference price. With this new dimension, a firm needs not only to manage its remaining capacity but also to control the reference price to maximize its expected future profit. In this situation, we show that some of the main analytical properties such as monotonicity or modularity of the firm's value...
Developing a Decomposition Approach for Network Revenue Management Considering Reference Price: Focusing on Hotel Industry
, Ph.D. Dissertation Sharif University of Technology ; Modarres Yazdi, Mohammad (Supervisor)
Abstract
This dissertation develops a new approach in network revenue management problems, with concentration on hotel industry. Several methods and heuristics are suggested in the literature to obtain an appropriate solution for network problems, however their focus is mostly on the transportation carriers. These heuristics do not seem to have satisfying effectiveness for hotel industry cases, because of significant difference between these two industries including the network structures, demand distributions and competition markets. On the other hand, with the tremendous growth of the internet and online sale channels, customers’ purchase behavior is modifying drastically. However this behavioral...