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    Mixed analog-digital crossbar-based hardware implementation of sign-sign LMS adaptive filter

    , Article Analog Integrated Circuits and Signal Processing ; 2010 , Pages 1-8 ; 09251030 (ISSN) Merrikh Bayat, F ; Bagheri Shouraki, S ; Sharif University of Technology
    2010
    Abstract
    Recently announcement of a physical realization of a fundamental circuit element called memristor by researchers at Hewlett Packard (HP) has attracted so much interest worldwide. Combination of this newly found element with crossbar interconnect technology, opened a new field in designing configurable or programmable electronic systems which can have applications in signal processing and artificial intelligence. In this paper, based on the simple memristor crossbar structure, we will propose a new mixed analog-digital circuit as a hardware implementation of the sign-sign least mean square (LMS) adaptive filter algorithm. In this proposed hardware, any multiplication and addition is performed... 

    Memristive fuzzy edge detector

    , Article Journal of Real-Time Image Processing ; Vol. 9, issue. 3 , September , 2014 , pp. 479-489 ; Online ISSN: 1861-8219 Merrikh-Bayat, F ; Bagheri Shouraki, S ; Merrikh-Bayat, F ; Sharif University of Technology
    Abstract
    Fuzzy inference systems always suffer from the lack of efficient structures or platforms for their hardware implementation. In this paper, we tried to overcome this difficulty by proposing a new method for the implementation of the fuzzy rule-based inference systems. To achieve this goal, we have designed a multi-layer neuro-fuzzy computing system based on the memristor crossbar structure by introducing a new concept called the fuzzy minterm. Although many applications can be realized through the use of our proposed system, in this study we only show how the fuzzy XOR function can be constructed and how it can be used to extract edges from grayscale images. One main advantage of our... 

    , M.Sc. Thesis Sharif University of Technology Malekmohammadi, Alireza (Author) ; Shabany, Mahdi (Supervisor) ; Mohammadzadeh, Hoda (Co-Advisor)
    Abstract
    Make a connection between brain and computer, or Brain Computer Interface (BCI) for broad applications in areas such as medical and gamming has caused the subject to one of the most important and attractive issues in recent decades. From the perspective of pattern recognition, BCI is a classification issue that should receive signals that relate to the certain decisions of the brain and then after processing, it is concluded that the person has thought to what decision. Decisions that taken by individual, is sent from the brain to the body by signals, which is called Electroencephalogram (EEG). The number of these decisions is further, classified it also becomes more difficult. That is why... 

    A new architecture for analog sampled-data neural filters

    , Article IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005, Kobe, 23 May 2005 through 26 May 2005 ; 2005 , Pages 2494-2497 ; 02714310 (ISSN) Sedighi, B ; Analui, B ; Sharif Bakhtiar, M ; Sharif University of Technology
    2005
    Abstract
    A new architecture for analog sampled-data filters is presented. This architecture is based on implementing the difference equation of the filter using a neural network. It results in lower sensitivity of filter coefficients to hardware nonidealities. Different tradeoffs in the hardware implementation of the filter are discussed. A design example is also presented. © 2005 IEEE  

    Efficient Hardware Implementation of ECG Derived Respiration (EDR) System, Applied to Body Area Network (BAN)

    , M.Sc. Thesis Sharif University of Technology Shayei, Ali (Author) ; Shabany, Mahdi (Supervisor)
    Abstract
    The rapid growth in the health care technology, has made the Body Area Network (BAN) as an attracting topic for research and design development. BAN devices have restrictions on their size and power consumption. Monitoring the respiratory signal is crucial in many medical applications and is normally part of a BAN system. Traditional methods for the respiration measurement are normally based on measuring the volume of air inhaled and exhaled by lungs (like a spirometer) or oxygen saturation in blood. However, these methods have numerous drawbacks including their high cost and limited accessibility. In this thesis, a novel scheme is proposed to derive the respiratory signal from the... 

    Design and Implementation of Processing Hardware for Active Learning Method

    , M.Sc. Thesis Sharif University of Technology Mehranzadeh, Mahdi (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    The Active Learning Method is in fact an adaptive recursive algorithm which embodies a Multi Input and a Single Output (MISO) system as in a fuzzy combination of several Single Input systems and Single Output systems (SISO), and by utilizing a fuzzy technique of Ink Drop Spread tries to explore and extract input to output transfer function behavior in the system of a single-input to a single-output. Although in simulation state, the speed of this model is set at a much higher speed in comparison to other presented models, still is slower than the processing speed of human brain. In regards to hardware implementation, also there remain the fundamental implementation challenges through more... 

    Linear active disturbance rejection control from the practical aspects

    , Article IEEE/ASME Transactions on Mechatronics ; 2018 ; 10834435 (ISSN) Ahi, B ; Haeri, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    In this paper, important issues that could come up in practice of Active Disturbance Rejection Control (ADRC) due to a common assumption and some inevitable practical restrictions are investigated. The main idea behind ADRC is modeling effects of both internal uncertainties and external disturbances as an extra state called the total disturbance which is timely estimated. In the majority of recent works, it is assumed that time derivative of total disturbance is bounded. First we prove that, beside the system characteristics, the validity of this assumption strongly depends on the tuning parameters, even in the case of simple classes of linear second order systems. Thus, one should be... 

    An Investigation on Hardware Implementation and Optimization of Spiking Neural Network

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Mahdi (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    Design of a spiking neural network suitable for electronic hardware implementation has been a hot research topic for a long time, in recent years implementation of spiking neural network in real time and biological scale has become important for scientists. This is due to the proximity of these networks to human brain, and the efforts led to the creation of numerous biological models and hardware which has been proposed in this context. This research includes two main parts, the first part is effort to implement a greater number of neurons per device and the second part proposes a communication system among devices to achieve biological scale. This work investigates novel neural elements and... 

    Design and Hardware Implementation of Real-Time Simulator for Electrical Machines

    , M.Sc. Thesis Sharif University of Technology Hadizadeh, Ali (Author) ; Hashemi, Matin (Supervisor) ; Parniani, Mostafa (Co-Advisor)
    Abstract
    Real-time simulators are important in design and test of power systems. Real-time simulators with hardware-in-loop capabilities are used in design of new elements in order to achieve maximum compatibility between subsystems, or in diagnosis and maintenance.The purpose of this dissertation is to design a real-time simulator for electrical machines. For this purpose, a three-phase induction machine is chosen and its model is extracted and discretized. This procedure results in a system of differential equations in form of AX = B. The extracted equations needs to be solved in real-time at every time-step. The real-time algorithms are imple-mented on FPGA. The implemented real-time simulator... 

    Hardware Implementation of IDS Method

    , M.Sc. Thesis Sharif University of Technology Tarkhan, Mahdi (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    ALM (Active Learning Method) is based on fuzzy concepts, striving for human-like information processing. Typical fuzzy methods for control and modeling applications rely on linguistic processing with membership functions of the kind in fuzzy rules. ALM, however, processes multiple features of a target by converting each into patterns. This simulates the human approach to the acquisition of knowledge from complex source targets in that it focuses on each feature of the target and processes that information in pattern-like images rather than utilizing numerical interpretations. In ALM, the ink drop spread (IDS) method has been proposed as a means of obtaining useful information... 

    Efficient Hardware Implementation of Lossless Medical Image Compression

    , M.Sc. Thesis Sharif University of Technology Sepehrband, Farshid (Author) ; Mortazavi, Mohammad (Supervisor) ; Ghorshi, Mohammad Ali (Co-Advisor)
    Abstract
    Medical images contain human body pictures and are widely used for diag-nosis and surgical purposes. Compression is needed for medical images for some applications such as profiling a patient's data or transmission systems. Due to the importance of the information of medical images, lossless or visually lossless compression is preferred. Lossless compression mainly consists of transformation and encoding steps. On the other hand, hardware implementation of lossless compression algorithm accelerates real time tasks such as online diagnosis and telemedicine. Lossless JPEG, JPEG-LS and lossless version of JPEG2000 are few well known methods for lossless compression. In this thesis, we introduce... 

    Hardware Implementation of Fuzzy Logic for Turbojet Engine Fuel Control System

    , M.Sc. Thesis Sharif University of Technology Yousefpour, Hossein (Author) ; Montazeri, Morteza (Supervisor) ; Kazemzadeh Hannani, Siamak (Co-Advisor)
    Abstract
    Gas turbine engine control is a demanding task that requires the regulation of the thrust as well as the satisfaction of the limitations such as engine aerodynamic instability, over temperature and over speed. Fuzzy logic is an attractive technique for the control of poor understood unmodeled, or complex systems especially where the experience of human operators is available to provide qualitative rules. In such cases, it has been found that control decisions can be made on the basis of linguistic measures or fuzzy algorithms. The controller that is designed on the basis of this theory is called fuzzy logic controller. The main objective of this thesis is hardware implementation of fuzzy... 

    A technique for extracting harmonics of time-varying nature

    , Article International Symposium on Industrial Electronics 2006, ISIE 2006, Montreal, QC, 9 July 2006 through 13 July 2006 ; Volume 3 , 2006 , Pages 1990-1995 ; 1424404975 (ISBN); 9781424404971 (ISBN) Mojiri, M ; Karimi Ghartemani, M ; Bakhshai, A ; Mokhtari, H ; Sharif University of Technology
    2006
    Abstract
    A method for real-time extraction and measurement of individual harmonic components of a power signal with time-varying characteristics is presented. The proposed method, which is based on the concept of adaptive notch filter (ANF), adaptively decomposes the measured power signal into its constituting components. The structural simplicity of the algorithm renders it desirable from the standpoint of practical, analog and hardware implementations. Simulation studies confirm the desirable transient and steady-state performances of the proposed method. © 2006 IEEE  

    Mixed analog-digital crossbar-based hardware implementation of sign-sign LMS adaptive filter

    , Article Analog Integrated Circuits and Signal Processing ; Volume 66, Issue 1 , 2011 , Pages 41-48 ; 09251030 (ISSN) Merrikh Bayat, F ; Bagheri Shouraki, S ; Sharif University of Technology
    Abstract
    Recently announcement of a physical realization of a fundamental circuit element called memristor by researchers at Hewlett Packard (HP) has attracted so much interest worldwide. Combination of this newly found element with crossbar interconnect technology, opened a new field in designing configurable or programmable electronic systems which can have applications in signal processing and artificial intelligence. In this paper, based on the simple memristor crossbar structure, we will propose a new mixed analog-digital circuit as a hardware implementation of the sign-sign least mean square (LMS) adaptive filter algorithm. In this proposed hardware, any multiplication and addition is performed... 

    Post-quantum cryptoprocessors optimized for edge and resource-constrained devices in IoT

    , Article IEEE Internet of Things Journal ; Volume 6, Issue 3 , 2019 , Pages 5500-5507 ; 23274662 (ISSN) Ebrahimi, S ; Bayat Sarmadi, S ; Mosanaei Boorani, H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    By exponential increase in applications of the Internet of Things (IoT), such as smart ecosystems or e-health, more security threats have been introduced. In order to resist known attacks for IoT networks, multiple security protocols must be established among nodes. Thus, IoT devices are required to execute various cryptographic operations, such as public key encryption/decryption. However, classic public key cryptosystems, such as Rivest-Shammir-Adlemon and elliptic curve cryptography are computationally more complex to be efficiently implemented on IoT devices and are vulnerable regarding quantum attacks. Therefore, after complete development of quantum computing, these cryptosystems will... 

    Design and Hardware Implementation of Real-Time Simulator for Power Electronic Systems

    , M.Sc. Thesis Sharif University of Technology Labbaf, Mohamad (Author) ; Hashemi, Matin (Supervisor) ; Parniani, Mostafa (Co-Advisor)
    Abstract
    Real-time simulators are playing a critical role in the design of power electronic systems. Using real-time simulator enables designers to reduce the time and cost of design by employing hardware-in-the-loop technique. In addition, this simulator can potentially reduce the risks which are associated with performing tests on actual systems. In this thesis, a real-time simulator is designed and implemented for power electronic applications. Concerning the fact that power switches are one of the most important elements in this simulator, an ideal switch model with conduction resistor and RC snubber circuit is used. This model is more accurate as compared to other models in the... 

    Design and Efficient Hardware Implementation of Spiking Neural Networks on FPGA

    , M.Sc. Thesis Sharif University of Technology Amirshahi, Alireza (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    Spiking Neural Networks(SNN) are networks which are consisted of layers of neurons, like other typical artificial neural networks. The main difference between SNN and other neural networks is the type of data transportation among neurons which is done by spikes. Spiking neural networks and their models are considered as the nearest networks and neurons to animals’ nervous systems. In aspects of hardware implementation, the type of data transportation in SNN causes them to be ultra-low power. So, implementation of these networks on chips like FPGA and also usage of SNN in applications with high processing load have startling germination, recently. In this work, we have tried to propose some... 

    Construction of a Framework for the Realization of Neuro-Fuzzy Computing Structures Based on the Physical Behavior of Processing Elements

    , Ph.D. Dissertation Sharif University of Technology Merrikh-Bayat, Farnood (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    In this thesis we concentrated on the application of memristor-rossbars for the hardware implementation of neuro-fuzzy systems. At first we showed that using memristive devices for this purpose has several problems and demonstrated the availability of the positive feedback in the behavior of this passive element. Then, by proposing new learning structure we tried to overcome some of these drawbacks. In the rest of this thesis we focused on the hardware implementation of neuro-fuzzy systems based on memristor crossbar structures. At first, hardware implementation of the Active Learning Method (ALM) is presented.
    Next, new learning and computing method is proposed by creating and using... 

    Hardware Implementation of Spiking Neural Networks

    , M.Sc. Thesis Sharif University of Technology Taji, Hossein (Author) ; Shabany, Mahdi (Supervisor) ; Hashemi, Matin (Co-Supervisor)
    Abstract
    Spiking neural networks (SNNs) are third generation of neural networks. Similar to traditional neural networks, SNNs are comprised neurons. However, not only structure but also information processing is inspired by animal neural systems. SNNs can be called the most similar networks to animal neural systems. In such networks, the information is processed based on propagation of spike signals through the network. The type of data flow in these networks leads to being low-power when they are implemented on hardware. Therefore,there has been a upward trend in hardware implementation of them, like their FPGA implementations, for applications such as Big Data and Machine Learning. In this thesis,... 

    Hardware Implementation of Li-Fi System

    , M.Sc. Thesis Sharif University of Technology Sadeghi, Maryam (Author) ; Shabani, Mahdi (Supervisor) ; Kavehvash, Zahra (Co-Supervisor)
    Abstract
    Today, the “wireless” is used almost synonymously with radio-frequency (RF) technologies as a result of the wide-scale deployment and utilization of wireless RF devices and systems. The RF band ranges from 300 kHz to 300 GHz and its use is regulated by regional and international agencies. With the ever-growing popularity of data-heavy wireless communications, wireless products and services, the demand for RF spectrum is outstripping supply, which causes the spectrum congestion. Therefore, the time has come to seriously consider other viable options for wireless communication using the upper parts of the electromagnetic spectrum. In this way, the optical band which includes infrared, visible,...