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hajizadeh--iman
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Evaluation of planing craft maneuverability using mathematical modeling under the action of the rudder
, Article Scientia Iranica ; Volume 24, Issue 1 , 2017 , Pages 293-301 ; 10263098 (ISSN) ; Seif, M. S ; Mehdigholi, H ; Sharif University of Technology
Sharif University of Technology
2017
Abstract
In the recent years, different mathematical models have been suggested for maneuvering of displacement vessels, which are capable to estimate maneuvering of the vessel with acceptable precision. But, simulation of planing craft maneuverability through a mathematical model has not been developed yet. In this paper, a mathematical model is developed for maneuvering of the planing craft by including the rudder forces and moments. Different maneuvers, such as straight-line stability, course keeping, and turning circle, are executed through the mathematical model. Simulation results are validated with the published experimental results and it is shown that they are in good agreement. Finally, the...
Teraffic Analysis with the Usage of Big Data Anlytics
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor)
Abstract
Predicting traffic condition is one of the most important topics for traffic engineers and is a vital part of smart city. Extracting traffic behavior and realizing new traffic behaviors plays undeniable parts in big decision making of cities. On the other hand, progress of new technologies and devices for controlling and monitoring traffic caused the volume of traffic related data to grow exponentially. Velocity and variety of these data made normal data mining solution to fail in modeling and performing well. New data era has changed the view of large numbers of science and engineering majors. Traffic engineering also needs big data analytics for process of its own big data. Thus the need...
Exploring Public Perception of Justice in Mobility Transitions: Evidence from a Bicycle Sharing System in Iran
,
M.Sc. Thesis
Sharif University of Technology
;
Miremadi, Iman
(Supervisor)
Abstract
Globally, bicycle sharing is one of the fast-growing solutions to climate change in the transport sector. However, what inequities may be reflected, exacerbated, or arose from its adoption and use? Relying on a qualitative research design involving interviews with bicycle sharing users, non-adopters, and daily observers of the cycling infrastructure (N = 36), site visits, and a literature review, we examine distributive, procedural, and recognition injustices in association with Bdood, an operating BSS in Iran, a developing country that allows for less-documented types of injustice to arise. In doing so, we utilize a comprehensive transport/mobility justice framework, drawn from the fields...
People Detection and Tracking with Privacy Protection
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor)
Abstract
The multi people tracking is considered a fundamental problem in computer vision, which has received considerable attention from academic and commercial fields. This issue deals with a set of proposed methods that track the movement path of several humans in a video-like sequence. The problem of multi people tracking is the foundation of other computer vision problems, including human gesture estimation, motion recognition, and behavioral analysis, and is mainly used in emerging fields such as automatic car driving, smart security, service robots, etc. Although many methods have been proposed and investigated to solve the above problem; But there are still serious challenges, such as severe...
Forward Temporal Planning Using Time Abstraction
, M.Sc. Thesis Sharif University of Technology ; GhassemSani, Gholamreza (Supervisor)
Abstract
Successful performance of forward heuristic planners in classical planning, has motivated the use of forward heuristic search in many temporal planners. Most of forward temporal planners are decision epoch planners that use an explicit representation of time and schedule actions while searching. However, decision epoch planners aren’t complete and cannot solve certain temporal problems with required concurrency. In this dissertation, we present ATFP, a forward temporal planner that does not use an explicit representation of time. In ATFP, duration of actions are temporarily ignored, and a causally valid order of beginnings and endings of actions is searched using classical forward heuristic...
Scene Detection and Analysis by Image Classification in Specific Classes
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor)
Abstract
Traffic density estimation is one of the most challenging problems in Intelligent Transportation Systems. One of the important traffic information that is broadcasted to drivers is Traffic Density information. In many traffic control centers; human operators are responsible for estimating traffic density from captured video data. Increasing traffic cameras and constraint number of operators introduce an updating delay to broadcasted information. So it is important to have an automatic traffic density estimation system. In this thesis, machine vision is used to solve this problem. Supervised Image classification is our approach. In supervised Image classification, images are classified to...
Investigating the Relation Between Pixel Cost, Steganographic Capacity and Statistical Detectability
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor)
Abstract
Statistical detectability is a feature of a steganalyzer that states its power for distinguishing between cover and stego images. A steganographer tries to design the steganography algorithm such that the steganalyzer could not detect the stego images. As a result, designing an efficient steganography algorithm (assigning the pixel cost) that could minimize the statistical detectability is an important objective in steganography. However, making a sensible relation between the pixel cost and statistical detectability is an open problem.
In this thesis, by modeling the steganalyzer using the LDA topic model, we analyze its error probability as a criterion of statistical detectability....
In this thesis, by modeling the steganalyzer using the LDA topic model, we analyze its error probability as a criterion of statistical detectability....
Audio Processing For Internet of Things
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor)
Abstract
Audio signal processing is a greatly useful approach to the Internet of Things since analyzing prominent audio signals can provide valuable information about environmental activities. Environmental sound processing is used in applications such as mechanical systems diagnosis, industrial maintenance, security systems, etc. This approach requires the design and development of sound classification and detection systems. In this thesis, we have achieved 84.5% accuracy on optimizing the features (by feature engineering and feature learning) and exploiting different types of machine learning algorithms. Well-known databases such as ESC-50 have been used to test and evaluate the whole system. Among...
Analyzing IoT System Using Location-Base Data
,
M.Sc. Thesis
Sharif University of Technology
;
Gholampour, Iman
(Supervisor)
Abstract
Nowadays, using different types of data has shown significant impacts on analyzing the related systems. Growth in data volume, systems complexity and existence of error and obscurity in collecting the data, increased the necessity of inventing new data analysis methods. Location-based data is an important data type for such analyses which are collected from sensors in different places. These data besides other official organization's information like municipality or Google … provide us a bulk volume of raw data. Such collections of raw data are mostly diverse, heterogeneous, bulk and outspread. Inspite of that, raw data with machine learning algorithms lead to considerable practical...
Evaluate the Effectiveness of Knowledge Components in The Sectoral Innovation System: Study Leading and Late Comer Countries in Renewable Energy
, M.Sc. Thesis Sharif University of Technology ; Miremadi, Iman (Supervisor)
Abstract
Climate change and its Environmental issues become fundamental challenges in recent years, and countries have to try find various solutions about it, such as developing renewable energy technologies. Multiple studies have been conducted on the importance of innovation in technology development and technological changes in different countries. Many studies have addressed the concept of the innovation system and evaluated the role of various institutions and actors. The innovation system as one of the concepts branched from the innovation system focuses on the importance of interactions between actors, the role, and nature of knowledge in a particular industry or sector. Hence, investigating...
Traffic Data Modelling with Gaussian Processes
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor)
Abstract
In the transportation industry, one of the most important and fundamental problems is the traffic of vehicles in the transportation roads. This problem is especially seen in large and densely populated cities such as Tehran. If traffic control is not done properly, it can lead to problems such as reduced traffic dynamics, environmental pollution, wasted drivers' time, disorder and loss of energy. If the traffic control is done after creating a traffic problem, it will not bring good results and will have low efficiency. For this reason, optimal traffic management and control has been raised as an important issue, especially in large cities. Predicting traffic flow is one of the important and...
Examining the Impact of Video Game Developers' Specialization on Their Success in Platform Ecosystems
, M.Sc. Thesis Sharif University of Technology ; Miremadi, Iman (Supervisor)
Abstract
In this research, we delve into the challenges video game developers encounter when selecting an appropriate genre for their initial video games. The primary objective of this study is to identify the effective strategies enabling video game developers to successfully enter the competitive market. Within this context, 'success' is quantified by sales volumes and download counts. The video game industry is witnessing rapid growth, with its market size reaching $184 billion in 2023, according to Newzoo report. To address these inquiries, the study uses information from three different platforms, gathering data in a thorough way: PC games on Steam, Android mobile games on the Google Play Store,...
Study ofthe NJL-Model Phase Diagram at Finite Temperature and Chemical Potential
,
M.Sc. Thesis
Sharif University of Technology
;
Rouhani, Shahin
(Supervisor)
;
Sadooghi, Neda
(Supervisor)
Abstract
We calculate NJL-Model free energy throughthe finite- temperature methods.Then according to the energy-gap equation, we determine symmetric and anti-symmetric phases under Chiral Transformation, in different regions of the phase diagram,with chemical potential() and temperature(T)as control parameter. We conclude with comparing the result of the finite temperature expansion to nonzero chemical potential to the result of,T=0 and finite ,andT=μregime.
Investigating the Effectiveness of Wells and Their Anti-Collision Analysis in a Percolation Reservoir Model
, M.Sc. Thesis Sharif University of Technology ; Masihi, Mohsen (Supervisor) ; Jamshidi, Saeed (Co-Supervisor)
Abstract
In drilling the percolation structure reservoirs (such as offshore Channelized reservoirs), one of the most important factors in the effectiveness of wells is drilling permeable areas (Channels), while Channel constraints make it possible for two wells to collide. On the other hand, if the desired reservoir is an offshore reservoir, these restrictions have been increased because usually several wells are drilled near together from one platform. Therefore, proper well collision analysis method is also important in these situations. In this project, anti-collision analysis is performed using the MWD device error model between two or more wells in a static reservoir model with channel...
Aerodynamics Design of Aviation High-speed Radial Turbine with a Feasibility on Cooling
, M.Sc. Thesis Sharif University of Technology ; Ghorbanian, Kaveh (Supervisor)
Abstract
Radial turbines with small dimensions and in small power capacities are of great interest. In general, turbine performance improvement and higher output power may be achieved through increasing the inlet mass flow rates however at the expense of more weight and larger dimensions. On the other hand, increasing the inlet total temperature to the turbine will result in higher power potentials. Nevertheless, the turbine needs to be cooled in case that the intended inlet temperature goes beyond the turbine material limitation. In this thesis, radial turbine equations are reviewed and the logic of a 1D algorithm is developed where parameters like the total temperature, total pressure, and mass...
Multi-Class Object Locating and Recognition
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor)
Abstract
Environment Identification and recognizing surrounding objects is an exigent need in future applications. For example one of the emerging technologies in car industry is driverless cars. In driverless cars, navigation system should be able to detect and recognize pedestrians, traffic signs, roads, surrounding cars and so on. Therefore, conventional single-object recognition systems are not capable of handling the needs of advanced machine vision based applications. In recent years, designing and analyzing multi-class object detection and recognition systems have become a big challenge in machine vision. In this thesis our goal is to identify and analyze the existing problems in designing...
Simulation of 2-Phase Fluid Flow on Unstructured Grids Upscaled by Image Segmentation Methods
, M.Sc. Thesis Sharif University of Technology ; Jamshidi, Saeed (Supervisor) ; Hajizadeh, Alireza (Co-Advisor)
Abstract
This paper describes the use of Quad-Tree Decomposition for upscaling of absolute permeability 2D geological models. Quad-Tree Decomposition is a data structure and generates an unstructured upscaled model that preserves the heterogeneity of the original geological model. In other words, in high-variability regions of the geological model, the gridblocks of the upscaled model remain small but in other regions that the permeability variation is low, the gridblocks of the upscaled model are coarsened. Quad-Tree Decomposition is a very simple, efficient and robust method that reduces the total number of gridblocks and results to high saving in time and memory required to flow simulation in the...
Visual Event Recognition and Description
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor) ; Tabandeh, Mahmoud (Supervisor)
Abstract
Increasing needs for traffic video surveillance and intelligent video analysis is a hot topic that has attracted significant interests in recent days. Scene understanding is one of the most important aspects of an intelligent video surveillance system. Statistics shows that rate of vehicle accidents has been continuously increasing over the past years. This necessitates the need for efficient traffic analysis and abnormality detection systems. It is desirable to develop fully automated surveillance systems, with which people will be free from boring monitoring tasks. In this thesis our goal is to describe and detect abnormal event like accident or variation of traffic density in traffic...
Detecting and Tracking Desired Objects in Consecutive Images
, M.Sc. Thesis Sharif University of Technology ; Gholampour, Iman (Supervisor) ; Movahhedian, Hamid (Co-Advisor)
Abstract
Detection and Tracking objects in various environmental conditions is a challenging task in computer vision. Abrupt changes in illumination, object size and noise level make this task even harder. Due to these problems, it is somehow impossible to propose a fully functional system for tracking every type of object. In this thesis we propose a new method for detection and tracking vehicles in traffic scenes. The problem is solved by dividing it into two parts: at First we have evaluated more than ten state-of-the art trackers, the final multi-vehicle tracker is chosen, and then, like any other object tracking method, we have used a unique identiy for each vehicle. This traffic identity is...
Traffic Videos Content Analysis Based on Topic Models
, Ph.D. Dissertation Sharif University of Technology ; Tabandeh, Mahmoud (Supervisor) ; Gholampour, Iman (Co-Advisor)
Abstract
Motion pattern analysis in traffic videos can be directly employed for scene analysis, rule mining, abnormal event detection, traffic phase detection, etc. The most successful and newest methods for complex traffic scene analysis are based on topic models. Topic models have been developed for text processing and as they have not been yet optimized for traffic video processing, they are still far away from optimal efficiency. In this thesis, firstly we propose two unsupervised methods for traffic video analysis based on non-probabilistic topic models. In the first proposed method, we use Group Sparse Topical Coding (GSTC) and an improved version of it for learning typical motion patterns...