Design and Fabrication of a Microfluidic Device to Study the Growth of Breast Cancer Cell

, M.Sc. Thesis Sharif University of Technology Mohammad Hashemi, Hanieh (Author) ; Vosughi, Manuchehr (Supervisor) ; Shamloo, Amir (Supervisor) ; Naserifar, Naser (Supervisor)

Abstract

for decades Cancer has been one of the major causes of death universally. Though extensive efforts in developing new anticancer therapies, they face failures in clinical trials and curing the sick owing to time consuming and expensive preclinical models with poor predictions of drug responses in human. To address this challenge it is crucial to develop preclinical models mimicking the main aspects of a tumor that can provide effective prediction of therapeutic responses. Tumor on chip technology has appeared as a promising approach for providing effective cancer models and reliable preclinical predictions. In this project, collagen was first extracted as the main constituent of the tumor...

Multi-Criteria Appraisal of Regular Bus, Bus Rapid Transit and Metro in Tehran

, M.Sc. Thesis Sharif University of Technology Keyvan Ekbatani, Mehdi (Author) ; Vaziri, Manuchehr (Supervisor)

Abstract

Viewpoints of various interest groups should be addressed in any public service appraisal. Urban public transportation development and services have diverse impacts on users, operators and the community. The impacts can be characterized by a wide range of perspectives including: efficiency, effectiveness, efficacy, economic, social and environmental dimensions. Deployment of quantitative techniques, such as multicriteria decision making methods, would facilitate such a multidimensional analysis and appraisal. The objective of the study summarized herein was to shed some light on the perceived attributes pertinent to the Tehran regular transit service appraisal. The major services include...

Design and Manufacture of Fluidized Bed Reactor in Pilot Scheme for Multiple Chemical Reactions at High Temperature and
Reduction of MnO2 to MnO by CO in Fluidized Bed Reactor

, M.Sc. Thesis Sharif University of Technology Shakeriyan, Mojtaba (Author) ; Halali, Mohammad (Supervisor) ; Hakim, Manuchehr (Supervisor)

Abstract

In this study designing and manufacturing of high-temperature fluidized bed reactor were performed. These reactors are based on the contact of fluid with solid particles and balancing the weight of the solid materials. In the manufactured reactor, reduction of manganese de oxide to manganese oxide was done by carbon monoxide produced from incomplete combustion. The most important parameters in the reduction rate are: bed temperature and reduction gas concentration. Materials were injected into the reactor under the pressure of 1.13 mmHg and temperature of 787 ℃ in the bed depth of 4 cm for 2 hours and then the product was removed. XRD patterns showed that the dominant phase in the product...

Modeling of Anaerobic Baffled Bioreactors for Industrial Wastewater Treatment

, M.Sc. Thesis Sharif University of Technology Rajaei, Mozhdeh (Author) ; Vosoughi, Manuchehr (Supervisor) ; Borghei, Mahdi (Supervisor)

Abstract

Nowadays anaerobic treatment of wastewater has been gaining more and more popularity. This process is usually used for waste sludge and wastewater with high concentrations of organic pollutants. One bioreactor that uses the anaerobic process to treat wastewater is the Anaerobic Baffled Reactor (ABR). This reactor was studied in the present study. The Anaerobic Baffled Reactor is composed of a series of up flow anaerobic sludge reactors. A simple design, low process cost, low sludge production and the lack of a need for a separator of the gas and sludge are some of the important characteristics of this reactor. Furthermore, ABRs are resistant against temperature and pH and can separate...

Speed Optimization In Hardware Implementation Of JPEG2000

, M.Sc. Thesis Sharif University of Technology Bayat, Mina (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

According to needs for high quality pictures with high compression, in variety of applications such as Satellite communications, in this thesis some parts of JPEG2000 standard with computation and time complexity, have been implemented on FPGA. This parts are:
1- Two dimensional Discrete wavelet transform (2D-DWT)
2- Bit Plan Coding
3- Context-based Adaptive Binary Arithmetic Coding (MQ-Coder)
Each of these parts is implemented on basis of the best architectures in papers with some improvement on its hardware; and the results are compared with other similar works. Other parts, such as “Packet Creation” that are intrinsically software-based, are not implemented and it is...

Modeling of Human Decision Making in Problem Solving Based on Physiological Models of Neuron

, M.Sc. Thesis Sharif University of Technology Shirzadeh, Hossein (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

How the human nervous system works is one of the most important topics in science and in this topic providing a model of it is scientists' main concern. The human brain that has been formed from a large number of nerve cells lets it do complex computations. The structure of cognition, memorizing and processing which are some of human features are being studied in many fields of science named "brain and cognitive science".
In this study, we will point to modeling of one of the human cognitive phenomena (decision making in problem solving). In this modeling, we aim to connect the microscopic and macroscopic levels of the nervous system to each other.
First, we will give an introduction...

A Learning Method Inspired by the Human Motor Learning

, M.Sc. Thesis Sharif University of Technology Davoudi, Heydar (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

Recently, the computational algorithms underlying in the nervous system of vertebrates have been attracting scientists and engineers. Therefore, a number of artificial learning methods are proposed for mathematical interpretation of these algorithms. In this thesis, by investigating the latest findings about the nervous system, and the motor system in particular, a novel machine learning scheme inspired by human motor learning is proposed. Basic theoretical aspects of this method in conjunction with some of state-of-theart artificial learning methods are discussed. Finally, this method is evaluated in a variety of engineering problems ranging from curve fitting and function approximation to...

Empirical Study for Removal of Oil Contamination by Thermophilic Bacteria

, M.Sc. Thesis Sharif University of Technology Babaeivelni, Kamel (Author) ; Vossoughi, Manuchehr (Supervisor) ; Alemzade, Iran (Supervisor)

Abstract

Biodegradation has always been as a proper method for treatment of oil contamination. Accordingly, several investigations have been done by mesophilic bacteria for biodegradation of hydrocarbons while few studies have been conducted about thermophilic bacteria.
There are many factors like high growth rate of thermophilic bacteria and good resistance of enzymes secreted from thermophiles against physical and chemical variations lead to the extensive use of thermophilic bacteria for removal of oil contamination. The important factors should be optimized in order to choose a suitable method for the removal of oil contaminations. Optimal conditions for oil contamination removal by...

Epileptic seizure detection using AR model on EEG signals

, Article 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008, Cairo, 18 December 2008 through 20 December 2008 ; February , 2008 ; 9781424426959 (ISBN) Mousavi, R ; Niknazar, M ; Vosughi Vahdat, B ; Sharif University of Technology

2008

Abstract

This study presents a new method for epilepsy detection based on autoregressive (AR) estimation of EEG signals. In this method, optimum order for AR model is determined by Bayesian Information Criterion (BIC) and then AR parameters of EEG signals (from EEG data set of epilepsy center of the University of Bonn, Germany) and their sub-bands (created with the help of wavelet decomposition) are extracted based on it. These parameters are used as a feature to classify the EEG signals into Healthy, Interictal (seizure free) and Ictal (during a seizure) groups using multilayer perceptron (MLP) classifier. Correct classification scores at the range of 91% to 96% reveals the potential of our approach...

Improving the Method of Face Recognition

, M.Sc. Thesis Sharif University of Technology Rabiepour, Siavash (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

Face recognition is one of the best biometrics in computer vision. Although researchers introduced this method many years ago, the most important improvement has occurred in the biometrics last decade. Face recognition was employed in areas such as passport checking, security issues and identification. It facilitates our daily life as we use it in our mobile phones and computers for unlocking our devices. Many approaches were employed in the face recognition applications. Some of them were single-modal like PCA, ICA and LDA and some others were multimodal like Visual + 3D or 3D + IR. Still, most of Face recognition methods suffer from environment changes like variations in illumination and...

Stimulus Signal Improvement in Order to Alleviate the Symptoms of Parkinson's Disease in Rat

, M.Sc. Thesis Sharif University of Technology Gholipour, Saman (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

Parkinson's disease is a degenerative disorder of the central nervous system. The motor symptoms of Parkinson's disease result from the death of dopamine-generating cells in the substantia nigra. The cause of this cell death is unknown. Early in the course of the disease, the most obvious symptoms are movement-related. Some of the symptoms are: shaking, rigidity, slowness of movement and difficulty with walking and gait. Modern treatments are effective at managing the early motor symptoms of the disease, mainly through the use of levodopa and dopamine agonists. As the disease progresses these drugs eventually become ineffective and produce a complication called dyskinesia, marked by...

Investigation of Multidimensional Recording Brain Signal (ECoG) For Estimation of 3D Arm Trajectory

, M.Sc. Thesis Sharif University of Technology Babolhavaeji, Ali (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

The main idea in this project is investigation of multidimensional recording brain signal (ECoG) for estimation of 3D arm trajectory. First we introduce a general structure with variable blocks, in this structure we have many ways to estimate hand trajectory and obtain different result. By statistical test we find the best state of this structure and apply it on other dtae set trials. Electrocorticography (ECoG) has seen recent use in this regard because it offers a higher spatiotemporal resolution than non-invasive EEG and is less invasive than intracortical microelectrodes and have been shown to contain reliable information about the direction of arm Trajectory and movements. We using...

Production and Investigation of Properties of a Nanocomposite for Food Packaging

, M.Sc. Thesis Sharif University of Technology Dadfar, Mohammad Ali (Author) ; Alemzadeh, Iran (Supervisor) ; Vossoughi, Manuchehr (Supervisor)

Abstract

Nanocomposite films based on low density polyethylene (LDPE), containing of 2, 3, and 4 wt% organoclay (OC) and ethylene vinyl acetate (EVA) copolymer as a new compatibilizer were prepared and characterized using X-ray diffraction, tensile tests, and oxygen permeation measurements. There was no exfoliation or intercalation of the clay layers in the absence of EVA, while an obvious increase in d-spacing was observed when the samples were prepared with EVA present. This issue was reflected in the properties of nanocomposites. The oxygen barrier properties of the OC/EVA/LDPE film were significantly better than those of the OC/LDPE film. The average aspect ratio of clay platelets in...

Production of Food Emulsifier

, M.Sc. Thesis Sharif University of Technology Amin Mahalati, Alireza (Author) ; Alemzadeh, Iran (Supervisor) ; Vossoughi, Manuchehr (Supervisor)

Abstract

This research relates to an improved method for making surfactant esters, especially sorbitan monostearate and tristearate. Sorbitan esters of fatty acid, stearate are derived from a reaction between sorbitan and fatty acid. Sorbitan fatty acid ester called sorbitan ester, are surfactants highly safe to use on human body and are widely used as a food additive in the production process as emulsifiers. Sorbitan esters are well known emulsifiers suitable for use in food, pharmaceutical products as well as many other applications. Despite its simple name, sorbitan ester is complex mixture of molecules. One such technique involves direct esterification of sorbitol or an intramolecular condensate...

Designing a 32-Bit Fault-Tolerant ALU Using EDAC

, M.Sc. Thesis Sharif University of Technology (Author) ; Vosughi Vahdat, Bijan (Supervisor) ; Mortazavi, Mohammad (Supervisor)

Abstract

Reliable communication has become very crucial in the transmission applications. Hence, to design hardware to handle reliability is the most important part of communication. In this work, we propose a new secured ALU (Arithmetic and Logic Unit) against fault attacks that is used in ARM processor which can correct any 5-bit error in any position of 32-bit input registers of ALU. We also designed a BCH (Bose, Chaudhuri, and Hocquenghem) codec (encoder, decoder) using the prototyping FPGA. Further, in this thesis we designed (63, 36) the BCH encoding and decoding system to tolerate the 5-bit faults. The codec system and ALU system are based on using Verilog description language. Since...

Developing a Correspondent Information Security Management System for Electronic Banking in Iran

, M.Sc. Thesis Sharif University of Technology Iravani, Yousef Esmaeil (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

Growing need for the use of modern technologies in the field of information and communication reveals the necessity to establish an information security management system more than before. It is totally proven that information is an asset which, like other important assets of the organization is so momentous that should be crucially protected. Nowadays, with the proliferation of security threats, which can lead to undesirable events with possible damage to systems or organizations intentionally or inadvertently, by human factors or inhuman cause, existence of a safe structure has become more necessary for all organizations and agencies. One of the most critical areas of information security...

Modeling of Ethanol Production Technologies From Solid Waste and Evaluation of Ethanol Based Biofules in Energy System

, M.Sc. Thesis Sharif University of Technology Hashemi, Nasim (Author) ; Vosughi, Manoochehr (Supervisor) ; Saboohi, Yadollah (Supervisor)

Abstract

Considering finish ability of fossil fuels and their polluting effects accordingly a need of renewable energies is felt. Among these clean energies biomass considering economical and environmental advantages is one of bests. Therefore a sufficient energy¬-¬efficient process with a good efficiency is needed. In this study an analysis of different mechanism to produce bioethanol from biomass has been done. According to the results from simulation the recovery step of bioethanol from the existing dilute solution from fermentation consumes the most energy in the process. Therefore substituting saline extractive column can result in saving energy. Finally in order to get more accurate result the...

Design and Implementation of Multi-Lead ECG Holter Monitoring and Cardiac Arrhythmia Classification

, M.Sc. Thesis Sharif University of Technology Mousavi Bandarabadi, Hassan (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

Cardiovascular diseases are currently the most common disease and the first cause of death in Iran and the world. It will increase in the future due to improper diet and lifestyle. Therefore, the prevention and treatment of these diseases is very important for the health of the country. One of the effective ways to diagnose heart diseases is to analyze the electrical signals of the heart and detect heart rhythm irregularities from it. The electrical signal of the heart called ECG is created by the electro-mechanical activity of the atria, ventricles and the valves between them. Therefore, this signal is useful for detecting the correct functioning of different parts of the heart and...

Treatment of Methamphetamine Addiction Using Transcranial Magnetic Stimulation

, M.Sc. Thesis Sharif University of Technology Rahimi Kandehlani, Zeinab (Author) ; Vosughi Vahdat, Bijan (Supervisor)

Abstract

Substance use disorder has always been one of the biggest challenges in the field of drug addiction. However, many substance use disorders have no drug treatment approved by the US Food and Drug Administration. Transcranial magnetic stimulation is a non-invasive brain stimulation method. Transcranial magnetic stimulation is expected to reduce cravings and risk of relapse by regulating brain function. The purpose of this study is to investigate the effect of transcranial magnetic stimulation on the treatment of methamphetamine addiction. In this research, the effect of transcranial magnetic stimulation twice a day on the left dorsolateral prefrontal cortex area of the brain during the time...

Design and Fabrication of Microfluidic Biosensors based on Modified Electrospun Nanofibrous Membranes for Biomarkers Detection

, Ph.D. Dissertation Sharif University of Technology Mahmoudifard, Matin (Author) ; Vosoughi, Manuchehr (Supervisor) ; Soleimani, Masoud (Supervisor) ; Soudi, Sara (Supervisor)

Abstract

The accurate assessment of biomarkers likes proteins, hormones or other biomolecules that amount of them changes with state of disease or level of treatment and gives diagnostic information is a difficult duty. In these samples, pathogens exist in small quantity compared to other background molecules. Therefore, appropriate sampling process for concentrating and separating pathogens from the matrix should be developed in order to provide rapid and accurate pathogen detection test. In this thesis design and fabrication of microfluidic biosensors based on the modified nanofibrous membranes were investigated and explained. PES nanofibrous membrane with carboxyl functional groups for covalent...