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    Autonomous road pavement inspection and defect analysis for smart city maintenance

    , Article 5th International Conference on Pattern Recognition and Image Analysis, IPRIA 2021, 28 April 2021 through 29 April 2021 ; 2021 ; 9781665426596 (ISBN) Shahbazi, L ; Majidi, B ; Movaghar, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2021
    Abstract
    The detection and repair of the cracks in the road pavement is a very time consuming task which should be performed periodically in order to maintain the safety and quality of the road network. There are various types of road pavement cracks and each type requires different management and repair method and also each type indicates a different problem in that section of the road. In this paper, an autonomous machine learning based visual inspection system for detection and classification of the road pavement cracks is proposed. The proposed framework uses deep neural networks in order to detect and classify longitudinal, alligator and asphalt cracks. A dataset of images from different road... 

    Simultaneous Hypothesis Testing and False Discovery Rate

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Mohammad (Author) ; Alishahi, Kasra (Supervisor)
    Abstract
    The purpose of this thesis is to introduce and review a recent methods in simultaneous hypothesis testing. False discovery rates, Benjamini and Hochberg’s FDR Control Algorithm, is the great success story of the new methodology. Much of what follows is an attempt to explain that success in empirical Bayes terms.The later chapters are at pains to show the limitations of current largescale statistical practice: Which cases should be combined in a single analysis? How do we account for notions of relevance between cases? What is the correct null hypothesis? How do we handle correlations? Some helpful theory is provided in answer, but much of the argumentation is by example, with graphs and... 

    Fast detection of open-switch fault in cascaded H-Bridge multilevel converter

    , Article 6th Annual International Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2015, 3 February 2015 through 4 February 2015 ; February , 2015 , Pages 538-543 ; 9781479976539 (ISBN) Shahbazi, M ; Zolghadri, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    Cascaded H-Bridge converter has recently been utilized in different high-power applications due to its modular and simple structure. In order to have a balanced operation after a fault occurrence in this converter, it is necessary to detect the switch fault and its location. In this paper, a fast power switch fault detection method is presented to identify the fault and its location. Only one voltage measurement per phase is required by this method, and the fault detection is faster compared to the existing methods. Moreover, it is easy for implementation on an FPGA device, due to the use of simple math, relational and state machine blocks. The proposed method is verified by computer... 

    Assessing and Comparing Risk indices in BOT and DBB Delivery Methods in Freeway and Highway Construction Projects

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Reza (Author) ; Khaloo, Alireza (Supervisor)
    Abstract
    The present survey study aims at investigating and comparing risk indices in highway and freeway projects implemented through Build-Operate-Transfer (BOT) and Design-Bid-Build (DBB) delivery methods. In this regard, two distinct questionnaires were developed (one for BOT and one for DBB delivery method) and interviews were conducted, too. The questionnaires were, then, sent to the target population, i.e. all the experts and agents involved in highway and freeway construction projects implemented through either BOT or DBB method. The collected data were then submitted to Statistical Package for Social Sciences (SPSS), version 22.00, to be analyzed. The results showed that risks had generally... 

    Effect of Carrier Gas Pressure on the Size of Cu Nanoparticles Prepared by ELM Method

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Bahador (Author) ; Halali, Mohammad (Supervisor)
    Abstract
    In this report the important factors affecting the levitation melting of copper are discussed. Pure copper nanoparticles were synthesized by utilizing an Electromagnetic Levitation Melting Gas Condensation (ELM-GC) method. Pure bulk copper samples were melted and evaporated by electromagnetic levitation technique in an inert gas atmosphere in a silica tube. Copper nanoparticles were formed from ascending vapor by employing high purity argon and helium as carrier gases and cooling agents. The pressure of inert gas was changed in both helium and argon atmospheres to investigate on pressure’s effect. Particle size and morphology of the produced nanoparticles were studied by Field Emission... 

    Condition Monitoring of CNG Electrocompressors

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Saeed (Author) ; Behzad, Mahdi (Supervisor)
    Abstract
    In order to increase the service life and prevent the breakdown of apparatuses, instalations and equipments, we are in a position to maintain them. In this regard, there are three methods for maintenance of machineries, which are called reaction maintenance, preventive maintenance and predictive maintenance. By carrying out a predictive method or monitoring the situation, it is possible to know the health of the machine and take the necessary measures before the damages occurs. Vibration analysis, temperature analysis, oil analysis and flow analysis can be used for monitoring the situation. Reciprocating compressors are one of the most costly repair equipment that needs to be monitored... 

    A generalizable model for seizure prediction based on deep learning using CNN-LSTM architecture

    , Article 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018, 26 November 2018 through 29 November 2018 ; 2019 , Pages 469-473 ; 9781728112954 (ISBN) Shahbazi, M ; Aghajan, H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    This work proposes a novel deep learning-based model for prediction of epileptic seizures using multichannel EEG signals. Multichannel images are first constructed by applying short-time Fourier transform (STFT) to Electroencephalography (EEG) signals. After a preprocessing step, a CNN-LSTM neural network is trained on the STFTs in order to capture the spectral, spatial and temporal features within and between the EEG segments and classify them as preictal or interictal stage. The proposed method achieves a sensitivity of 98.21%, a false prediction rate (FPR) of 0.13/h and a mean prediction time of 44.74 minutes on the CHB-MIT dataset. As the main contribution of this work, by using a... 

    Fabrication and Electrical Properties Evaluation of PA/CNT Conductive Nanocomposite with Low Percolation Threshold

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Hessam (Author) ; Bagheri, Reza (Supervisor)
    Abstract
    Polyamide-6 is a thermoplastic polymer that is classified as electrically non-conductive materials. One way of adding conductivity to the polymer matrices is by utilizing them in a nanocomposite form. Superior mechanical and electrical properties of Carbon Nanotubes make them worthy of being chosen as reinforcement in nanocomposites to extend their operation to a broader range of applications, like conductive nanocomposites, mainly polymer-based matrices. The Nanotubes have chemical affinity and tend to entangle and aggregate. Because of this, to achieve a uniform and remarkable electrical conductivity is hard-to-reach. state of entanglement effects correctly melt methods of polymer blend... 

    Impact of mobile source emission inventory adjustment on air pollution photochemical model performance

    , Article Urban Climate ; Volume 32 , 2020 Shahbazi, H ; Hosseini, V ; Sharif University of Technology
    Elsevier B.V  2020
    Abstract
    Coupled weather forecasting and chemical transport models are useful tools to evaluate air pollution episodes in big cities for the purpose of forecasting and air pollution abatement measures' evaluation. However, large set of accurate data of various sources and modeling calibrations are needed for such complex modeling system to be reliable. The problem becomes more obvious when the model is operated over a domain in which there is a general lack of accurate input data such as emission inventory data. The current study investigates the possibility of model tuning for more accurate prediction of air pollutant concentrations in the city of Tehran in an air pollution episode as a case study.... 

    Accelerating 3-D capacitance extraction in deep sub-micron VLSI design using vector/parallel computing

    , Article 13th International Conference on Parallel and Distributed Systems, ICPADS, Hsinchu, 5 December 2007 through 7 December 2007 ; Volume 2 , December , 2007 ; 15219097 (ISSN); 9781424418909 (ISBN) Shahbazi, N ; Sarbazi Azad, H ; Sharif University of Technology
    2007
    Abstract
    The widespread application of deep sub-micron and multilayer routing techniques makes the interconnection parasitic influence become the main factor to limit the performance of VLSI circuits. Therefore, fast and accurate 3D capacitance extraction is essential for ultra deep sub-micron design (UDSM) of integrated circuits. Parallel processing provides an approach to reducing the simulation turn-around time. In this paper, we present parallel formulations for 3D capacitance extraction based on P-FFT algorithm, on a personal computer (PC) or on a network of PCs. We implement both vector and parallel versions of 3D capacitance extraction algorithm simultaneously and evaluate our implementation... 

    Design Hybrid Renewable Energy Systems by A Multi-objective Robust Optimization Model

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Amir Hossein (Author) ; Eshghi, Kourosh (Supervisor)
    Abstract
    Nowadays the popularity of renewable energy is increasing due to its clean and inexhaustible nature. Also, if the local potential of each area is used, there is no cost to connect to electricity network. But these energies have low reliability due to their oscillating nature. To solve this problem, it is proposed to use systems based on several sources of energy called hybrid systems. In this research, a mathematical model is proposed to design a renewable hybrid system that minimizes the present value of costs while maximizing system’s reliability. To consider the uncertainty in the solar radiation data and energy demand, Bertsimas’s robust model is applied to our model. In which variables... 

    Evaluation of tehran clean air action plan using emission inventory approach

    , Article Urban Climate ; Volume 27 , 2019 , Pages 446-456 ; 22120955 (ISSN) Shahbazi, H ; Hassani, A ; Hosseini, V ; Sharif University of Technology
    Elsevier B.V  2019
    Abstract
    The city of Tehran, the capital of Iran, has been facing severe air quality problems. The air quality of Tehran has been stated as unhealthy over one-third of year during the last two decades. According to the last emission inventory of Tehran for the base year of 2013 mobile sources contribute by about 6, 46, 98, 87, and 70% of total primary SOx, NOx, CO, VOC and PM emission. A number of policies have been implemented in Tehran during the last two decades to tackle the air quality issue. Concentrated mostly on transportation sector, these policies aimed to improve fuel quality and emission performance of vehicles. Nevertheless, there is no quantified evaluation regarding the effectiveness... 

    Efficient Multimedia Transmission over Wireless Sensor Networks

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Moloud (Author) ; Movaghar Rahimabadi, Ali (Supervisor)
    Abstract
    One of the basic characteristics of Wireless Sensor Networks is their resource limitations. As a result, it is essential to try to decrease costs in such networks. These limitations are more critical in transmitting multimedia data with larger data units. In addition, when transmitting real-time multimedia data, delay is an important factor to consider. According to these limitations, Wireless Multimedia Sensor Networks are congestion prone. In this thesis, a transport layer protocol has been proposed. This protocol consists of three three steps in handling congestion. First, it detects congestion according to the queue length in the node. If the lsength is greater than a minimum threshold,... 

    Fast and simple open-circuit fault detection method for interleaved DC-DC converters

    , Article 7th Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2016, 16 February 2016 through 18 February 2016 ; 2016 , Pages 440-445 ; 9781509003754 (ISBN) Shahbazi, M ; Zolghadri, M. R ; Ouni, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    Interleaved DC-DC boost converters are interesting choices in applications like fuel cells and photovoltaic systems. Although this converter offers low current ripple, but an open-circuit switch fault can lead to unacceptable current ripples. In this paper, a very fast and simple method is proposed to detect an open-circuit switch fault and its location. This method doesn't need any additional sensors, is efficient in CCM and DCM modes of operation, and can detect the fault in less than one switching period. Moreover, this method is suitable for implementation on an FPGA, due to the use of simple math and state machine blocks. Simulations are carried out to validate the effectiveness of this... 

    Investigation the Effects of Inversion on Tehran Air Quality Using Meteorological and Photochemical Models during Normal and High Concentrations Episodes

    , M.Sc. Thesis Sharif University of Technology Shahbazi, Hossein (Author) ; Hosseini, Vahid (Supervisor) ; Rashidi, Yousef (Co-Advisor)
    Abstract
    In this study, The Comprehensive Air Quality Model with extensions (CAMx model, v5.41), was used to model gas phase pollutants over Tehran modeling domain during two episodes of July 7th to July 13th and November 30th to December 6th, 2012. In the second episode due to very high concentration of pollutants caused by a combination of meteorological conditions and occurrence of an inversion, a forced holiday was imposed on the city-wide operations to protect the health of citizens. It was found that WRF/CAMx modeling system is a useful tool for the analysis of urban environmental problems and predicting critical conditions. The WRF simulation results for 2-m height temperature, 10-m height... 

    Improving self-care and health literacy in hemodialysis patients: Using software engineering

    , Article Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012, 3 December 2012 through 5 December 2012 ; December , 2012 , Pages 317-320 ; 9788994364216 (ISBN) Shahbazi, B ; Edalat-Nejad, M ; Edalat-Nejad, N ; Sharif University of Technology
    2012
    Abstract
    The use of Computer Science in order to categorize and store information, improve diagnostic and therapeutic procedures, patient education and the training of a skilled labor force, has taken important steps and there are constantly new developments in this area  

    Fast detection of open-switch faults with reduced sensor count for a fault-tolerant three-phase converter

    , Article 2011 2nd Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2011 ; 2011 , Pages 546-550 ; 9781612844213 (ISBN) Shahbazi, M ; Zolghadri, M ; Poure, P ; Saadate, S ; Sharif University of Technology
    2011
    Abstract
    Fast fault detection and reconfiguration is necessary in power electronic converters in lots of applications to prevent further damage and to make possible the continuity of service. In this paper a very fast fault detection scheme is presented that minimizes the use of voltage sensors. A fault tolerant topology is studied. Control and fault detection system are implemented on a single FPGA and hardware in the loop experiments are performed to evaluate the detection scheme, the digital controller and the structure  

    A GIS based emission inventory development for Tehran

    , Article Urban Climate ; Volume 17 , 2016 , Pages 216-229 ; 22120955 (ISSN) Shahbazi, H ; Taghvaee, S ; Hosseini, V ; Afshin, H ; Sharif University of Technology
    Elsevier  2016
    Abstract
    Tehran with a population of 8.2 million urban residents, suffers from rapid urbanization in recent years resulting in severe air pollution. The aim of this study is to develop a high resolution emission inventory of primary air pollutants for Tehran. Tehran pollution sources are classified into two major categories. Mobile sources, including vehicles such as passenger car, taxi, motorcycle, pickup, minibus, bus and truck, and stationary sources; consisting of industries, general service and household, energy conversion, terminals and gas stations. The emission of SOx, NOx, CO, VOCs and PM in the year of 2013 were estimated as 37.411 kt, 85.524 kt, 506.690 kt, 83.640 kt and 8.496 kt,... 

    Design and implementation of an FPGA-based real-time simulator for H-bridge converter

    , Article 7th Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2016, 16 February 2016 through 18 February 2016 ; 2016 , Pages 504-510 ; 9781509003754 (ISBN) Rezaei Larijani, M ; Zolghadri, M. R ; Shahbazi, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    This paper presents a methodology for implementing of the mathematical model of H-Bridge converter in an FPGA-based Real-Time simulator. Furthermore, it introduces a new method for choosing parameters of the Associate Discrete Circuit (ADC) model of semiconductor switches. The ADC-based model allows obtaining a fixed topology irrespective of switches states for the power electronic converters in the digital simulation. Backward-Euler based discretized state space matrix (SSM) of the circuit used for ADC parameter. Choosing appropriate switch parameter is based on 1) reducing the distance of SSM eigenvalues from origin in z-Plane to reduce settling-Time of system response; and 2) reducing the... 

    Open-circuit switch fault tolerant wind energy conversion system based on six/five-leg reconfigurable converter

    , Article Electric Power Systems Research ; Volume 137 , 2016 , Pages 104-112 ; 03787796 (ISSN) Shahbazi, M ; Saadate, S ; Poure, P ; Zolghadri, M ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    In this paper, an FPGA-controlled fault tolerant back-to-back converter for DFIG-based wind energy conversion application is studied. Before an open-circuit failure in one of the semiconductors, the fault tolerant converter operates as a conventional back-to-back six-leg one. After the fault occurrence in one of the switches, the converter will continue its operation with the remaining five healthy legs. Design, implementation, simulation and experimental verification of a reconfigurable control strategy for the fault tolerant six/five leg converter used in wind energy conversion are discussed. The proposed reconfigurable control strategy allows the uninterrupted operation of the converter...