Sharif Digital Repository

In this Thesis, a new algorithm is presented to cooperatively guide a set of robots, modeled as dynamic vehicles, toward a moving object while their heading angles variation are limited and collision avoidance is also required. The trajectory of object has unknown behavior, such that, at each moment in time, during the mission period, the available information about the object's trajectory is merely its position and instantaneous velocity. Due to this situation, vehicles are supposed to determine their movements, based on the predicted object's trajectory. To meet the goals of the algorithm, a time-decreasing reward is associated with the object, such that vehicles can collect the reward... 

The usage of the Hough transform, which has been proposed to detect straight lines in digital images, is studied as a target detector in search radars and its performance is compared with the conventional detectors. Then, a new method based on the Hough transform is introduced for detecting targets in a 3-D r-φ-t data space. The effectiveness of the new 3-D Hough detector is demonstrated through deriving the detection statistics analytically and comparing the results with those of several comprehensive simulations. The proposed detector is also evaluated with real radar data and its efficiency is confirmed. Then, the Average and Generalized Likelihood Ratio detectors are derived as the... 

Distance Metric Learning algorithms have been widely used in Machine Learning methods recently. In these algorithms a distance function between objecs (data points) is learned based on their labels or similarity and dissimilarity constraints. Recent works have shown that a good precision is obtained in classification or clustering methods which use these functions. Since in the current systems many of data points do not exist at the beginning and are added to the training set as the algorithm is run, online methods are needed to update learned metric due to new data.
In this thesis, we proposed a new online distance metric learning method that has higher performance than existing... 

Space-time adaptive processing (STAP) is one of the powerful algorithms for clutter suppression in airborne radars. In this algorithm, we need to estimate the covariance matrix of the range bin under test, exploiting adjacent range bins. Thus it is important for clutter to have the same space-time characteristics in different range bins; otherwise degradation will occur in clutter suppression. Therefore, traditional STAP is desired to be discussed in the side-looking mode in which clutters are range independent. In some situations, we need to employ STAP in the non-side-looking geometries of the arrays. For instance, sometimes it is needed to rotate the array to gain better coverage of... 

Transmit waveform plays a significant role in active sensing systems. High speed and off-the-shelf processors, digital arbitrary waveform generators, and solid state transmitters have paved the way for an increased capability to adapt the transmit signal and the receive fil-ters with respect to (w.r.t.) the illuminated environment. In this thesis, we have considered the waveform design problem for different scenarios, in two parts. Firstly, we have con-sidered the problem for the extended target model in single-input single-output (SISO) radars. There, we have assumed known target impulse response (TIR) with an unknown reflection factor and found the waveform corresponding to the optimal... 

The main idea of this thesis is on the preparation and use of gradian surfaces as extractive phase in the development of microextraction methods in non-targeted analysis.In the first research, a structural gradient of nanoclusters of organoclay-Cu(II) on a copper wire were fabricated by bipolar electrofunctionalization. The headspace in-tube microextraction (HS–ITME) technique was used for the extraction of chlorobenzenes (CBs) as model compounds. The limits of detection (LODs) and linear dynamic range (LDR) were obtained in the range of 0.5-10 and 50-10000 μg L-1, respectively and precision of the method was also obtained (RSD%) in the range of 6-10%. The developed method in this study... 

Smart heat-sensitive polymers play a unique role in drug delivery systems due to reversible behavior in response to environmental changes, especially temperature changes. Among the heat-sensitive polymers, UCST polymers due to their specific behavior and very little-known polymers with this feature are the subject of many new researches. In the present study, New designed temperature-sensitive polymers with UCST capability based on acrylamide and vinyl acetate were synthesized. These copolymers were synthesized in different percentages of acrylamide by free radical polymerization in solution conditions. All polymers compounds were characterized by H-NMR, FT-IR, DSC and GPC measurements. The... 

The use of nanocarriers has been recently considered for targeted drug delivery. In the targeted drug delivery systems, drug is directed to the target tissue and its adverse effects are reduced on the healthy tissues. Graphene oxide and hollow mesoporous carbon nanospheres are two types of the most interesting carbon-based nanocarriers because of their unique properties. Aim of the thesis has been the synthesis of the nanocarriers based-on graphene oxide and hollow mesoporous carbon nanospheres and their surface modifications by magnetic polyamidoamine dendrimer and oxygen-rich polymers such as poly(epichlorohydrin) and hyperbranched polyglycerol. These modifications result in higher... 

In MTI radars, digital filters utilizing non-uniform sampling are used to remove the echo of stationary targets or the ones with minor Doppler shift. These targets usually are associated with significant reflection causing small, high-speed targets not to be detected. In this type of filters, the use of non-uniform sampling prevents the blind speed issue and causes the first blind speed to occur at higher frequencies. The performance of such filters is characterized by two criteria: Coefficients and periods. Therefore, coefficient optimization in filter design has a dominant role in maximizing clutter rejection. Also, period optimization is used to prevent generating deep nulls in the... 

Recently, advances in the fabrication and integration of sensing, communication technologies and economical deployment of large scale sensor networks which are capable of large scale target tracking, become possible.therfore, the wireless sensor networks are a fast growing and marvelous research area that has attracted considerable research attention in the recent past. The creation of large-scale sensor networks interconnencting several hundered to a few thousand sensor nodes opens-up several wide range of application and technical challenges. Sensor nodes have been deployed to play significant roles in battlefield, disaster-prone area, traffic control, habitat monitoring and intruder... 

One of the most important issues among defense is the increasing of the defense power using present facilities. Therefore, optimal setting and arrangement of equipment by considering different air-to-earth attack of enemy without knowing of properties and capabilities of available systems may not be possible. So, using defense equipment considering properties of them, and paying attention to existence restrictions and effective elements can have an effective role with the design of suitable algorithm.The main purposes of this thesis are: maximization of the efficiency of a defense system against. aerial invader targets, achieving the best arrangement of defense equipment based on suggested... 

Today, SAR radars are one of the most practical tools for controlling and monitoring surface targets, and so far, several methods have been proposed to create a profile image of the reflection coefficient of surface targets in these Radars. The main problem in these methods is the ability to simultaneously create a reflection coefficient profile image for stationary and moving targets. To create a profile image of the reflection coefficient of moving targets, first it is necessary to detect and estimate its kinetic parameters.This thesis presents a method for detecting and estimating Ground moving targets parameters using Keystone transfer conversion and also presents a method for creating... 

In much of the financial economics literature, banks are modeled as financial intermediaries that transfer household deposits to loan applicants. In these models, deposits are obtained from the accumulation of real amounts (household savings). In addition to this, another approach describes banks not as intermediaries of loanable funds, but as money-creators who do not need to accumulate deposit resources to lend. In this study, by modeling the money-creation behavior of the banking network, we try to answer the question that if the bank can create credit and purchasing power for the firm based on its future income, how will the general variables of the economy, including consumption and... 

In the field of estimating the expected performance of structures under the excitation of earthquakes of different magnitudes, the Endurance time method has been introduced as a fast method in recent years. What is needed now in this method is to study the assumptions and definitions used in this method, to choose more logical definitions, to unify them, and to prove the statistics of this method in the overlapping and generalizable range of different structures. For this purpose, in this dissertation, different definitions have been evaluated in the process of using the Endurance time method and IDA. The results of different definitions for the target time equivalent to each earthquake... 

Localization of radio, acoustic and vibration wave’s sources by passive systems has many applications in positioning systems, navigation systems, wireless sensor networks, defense, security, and geophysics. RSS, AOA, TDOA, and FDOA are some of the techniques available for passive localization. The performance of TDOA/FDOA techniques does not degrade with distance and multipath, but it may suffer from poor performance for narrowband signals. On the other hand, FDOA technique requires narrowband signals. Thus, the combination of TDOA and FDOA can be suitable for a much wider range of sources. In addition, the TDOA/FDOA method can provide more accurate interference source localization compared... 

Performance-based design (PBD) has been accepted as one of the most reliable design methods in the past few decades. PBD can overcome inherent deficiencies associated with force-based design (FBD) and has advantages over this traditional method. Various PBD methods have been developed, which Displacement-based design (DBD) has been considered as one of the effective design approaches of the PBD method. In this study, the Displacement coefficient method (DCM) is developed for stub-type integral abutment bridges (IABs). For this purpose, two coefficients are proposed to determine the target displacement of these types of bridges. Validation of this method by nonlinear time-history analysis... 

In this dissertation, an attempt has been made to prepare a library from most of the inorganic and organic compounds in order to strengthen the use of nanosystems for the purpose of controlled delivery and release of drugs and genetic material. In this regard, a complete set of compounds based on metal nanoparticles, layered double hydroxides, metal-organic frameworks, graphene oxide and carbon nanotubes were designed, synthesized and characterized, and nanocomposites and hybrids of them based on palladium, zinc, copper and nickel were designed as well. The nano-stable system is designed with positive surface potential, very low cytotoxicity, biodegradability and acceptable environment as... 

Since the first observed case in December 2019, millions of people have been infected by Coronavirus disease 2019 (COVID-¬19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS¬-CoV-¬2). Located on the viral membrane, trimeric spike glycoprotein is one of the most crucial parts of the virus’ structure as it is responsible for the attachment and entry of the virus to host cells. The spike glycoprotein undergoes hinge-like conformational movements and its receptor¬binding domains (RBD) can be in either an accessible (up) state or an inaccessible (down) state to the host cell receptors, such as ACE2. Having performed Molecular Dynamics Simulations and Targeted Molecular... 

Characterizing cellular states in response to various disease conditions is an important issue which is addressed by different methods such as Large-scale gene expression profiling. One of the most important challenges in front of bioinformaticians is the loss of data because expression profiling is still very expensive. It is understood that profiling a group of selected genes could be enough for understanding all of the gene expression profile.In this research, we propose a fast method for estimation of the missing values inlow-rank matrices. We consider the highly correlated expression profiles as a low-rank matrix. Then, we used this new method in a proposed algorithm which will select... 

This thesis is about multidisciplinary design optimization of MRI ¬controlled robots with a nonlinear model approach in the cardiovascular system and simulates its behavior to reach cancer cells. Such robots, designed to perform medical procedures with minimal side effects to the patient, include a set of ferromagnetic nanoparticles attached to the polymer and disposable drugs such as cancer drugs.The disciplines considered in this issue include structure, hydrodynamics, propulsion, controllability, and trajectory. The proposed model in this study, in addition to the main forces acting on the robot such as magnetic force, hydrodynamics, and apparent weight, also examines other forces due to...