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    An auto-calibrated, dual-mode SRAM macro using a hybrid offset-cancelled sense amplifier

    , Article Microelectronics Journal ; Vol. 45, issue. 6 , 2014 , p. 781-792 Attarzadeh, H ; Sharifkhani, M ; Sharif University of Technology
    2014
    Abstract
    A dual-mode power and performance optimized SRAM is presented. Given the fact that the power and speed associated with the cell access time are directly related to the sense amplifier offset a new optimization platform based on the hybrid offset-cancelled current sense amplifier (OCCSA) [1] is presented. It is shown that the speed and power overhead of the offset cancellation can be optimized in a multi-variable auto-calibration loop to achieve the lowest power or the highest performance mode. The flexibility of having two degrees of freedom in OCCSA offers a significant bitline delay reduction with minimum power sacrifice in the high performance mode. The proposed scheme is verified using a... 

    An Adaptive Low-Power Sense Amplifier with Offset-Cancellation for High-Speed SRAM

    , M.Sc. Thesis Sharif University of Technology Attarzadeh, Hourie (Author) ; Sharifkhani, Mohammad (Supervisor)
    Abstract
    A significant large amount of modern SOCs is occupied by SRAMs. Nowadays more than 70% of the Microprocessor area is occupied by SRAMs. This reinforces the need to design a more compact SRAM. With the increase in the processors speed, memories speed needs to be increased to enhance the overall throughput. Current Sense Amplifiers have partially solved the problem. However the area occupied by these amplifiers is still a large amount. The input offset is also not negligible. Due to their cascode configuration, these circuits cannot be scaled with the voltage scaling. In this thesis we proposed a new hybrid sense amplifier with an added phase, so the input offset can be cancelled with a large... 

    A new method for coverage in wireless sensor networks

    , Article 8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009, 12 December 2009 through 14 December 2009, Chengdu ; 2009 , Pages 369-372 ; 9780769539294 (ISBN) Attarzadeh, N ; Barati, A ; Movaghar, A ; Sharif University of Technology
    2009
    Abstract
    The manner of organizing the sensors in the wireless sensor network for increasing the capability and optimized using of the sensors is of great importance. Hence considering coverage parameter in every Wireless Sensor Network (WSN) is extremely essential and critical. The matter of overlapping covered area by sensors in 2D space had been considered until now. This paper is suggested a pattern in which no more are the sensors located at the same surface, but using the 3D geometrical figures like cube, pyramid and etc, in which the sensors were spreading about the different surfaces. Locating the sensors on the different surfaces can be useful under conditions where the space is not in same... 

    A scalable offset-cancelled current/voltage sense amplifier

    , Article ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, 30 May 2010 through 2 June 2010, Paris ; 2010 , Pages 3853-3856 ; 9781424453085 (ISBN) Attarzadeh, H ; SharifKhani, M ; Jahinuzzaman, S. M ; Sharif University of Technology
    2010
    Abstract
    the application of current sense amplifiers in scaled SRAM design is limited by two factors: the DC offset due to the device mismatch and limited voltage headroom. The presented scheme reduces the effect of offset by proposing an extra phase for offset cancellation before current sensing takes place. A twofold reduction of the cell access time is achieved compared to the conventional scheme under similar cell current and bitline capacitance. The offset cancellation phase takes place in parallel to the wordline decoding time in order to speed up the current sensing. The proposed scheme requires a small power budget due to a self shut off mechanism. In addition to presenting a comparison with... 

    An optimised algorithm to detect faulty readings along the substrate access wireless long-thin sensor networks

    , Article Proceedings - UKSim 5th European Modelling Symposium on Computer Modelling and Simulation, EMS 2011 ; 2011 , Pages 372-377 ; 9780769546193 (ISBN) Barati, A ; Dastgheib, S. J ; Movaghar, A ; Attarzadeh, I ; Sharif University of Technology
    2011
    Abstract
    Wireless sensor networks (WSNs) are composed of hundreds or thousands of small nodes, which work together and associate with a specific task or tasks to do. It is expected that wireless sensor networks will be used widely in many applications in the near future. One of the most important issues in WSNs is localisation. There are crucial problems over network localisation such as security attacks (internal or external), energy efficiency, and accuracy, which impact performance and energy-consuming of wireless sensor networks. The main source of these problems is network topology. A long-thin network topology (LTNT) in wireless sensor can produce errors in network localisation due to special... 

    Dynamics Modeling of new Scratch-drive Actuators with Bounce back Mechanism (BSDA)

    , M.Sc. Thesis Sharif University of Technology Attarzadeh, Mohammad Ali (Author) ; Vossughi, Gholamreza (Supervisor) ; Meghdari, Ali (Supervisor)
    Abstract
    In recent decades, micro-electromechanical systems – MEMS – havefound extensive applications in applied science and engineering. One of the most popular MEMS actuatorsis micro Scratch Drive Actuator (SDA), which can be used in various applications, for instance: precision positioning, micro-chip displacement and rotating micromotors. Their outstanding capabilities such as: high controllability, precise step displacement, vast transportation domain and large force relative to their small size, have made them popular among researchers. Recently, a new generation of SDA is introduced, known as Bounce-back Scratch Drive Actuator or BSDA, which is fundamentally different in motion generation from... 

    Business Processes Deviation Analysis Using Process Mining Algorithms

    , M.Sc. Thesis Sharif University of Technology Attarzadeh, Milad (Author) ; Akbari Jokar, Mohammad Reza (Supervisor) ; Hassannayebi, Erfan (Co-Supervisor)
    Abstract
    Deviations in business processes consistently impose significant financial and temporal costs on business owners and can lead to decreased customer satisfaction with organizations. Therefore, timely identification of deviations is a crucial and significant issue for business process managers. While extensive research has been conducted on the detection of antecedent deviations, predicting deviations before they occur—which could facilitate preemptive actions to prevent these deviations—has received less attention. In this context, the aim of this study is to predict two types of process deviations—temporal deviations and Rework deviations—using machine learning and deep learning algorithms,... 

    The argus-II retinal prosthesis implantation; from the global to local successful experience

    , Article Frontiers in Neuroscience ; Volume 12, Issue SEP , 2018 ; 16624548 (ISSN) Farvardin, M ; Afarid, M ; Attarzadeh, A ; Johari, M. K ; Mehryar, M ; Nowroozzadeh, M. H ; Rahat, F ; Peyvandi, H ; Farvardin, R ; Nami, M ; Sharif University of Technology
    2018
    Abstract
    Over the past few years, visual prostheses (namely, Argus II retinal implant) and gene therapy have obtained FDA approval in treating blindness resulting from retinitis pigmentosa. Compared to gene therapy; Argus II is less costly with a demonstrated favorable outcome, though the vision is yet artificial. To obtain better results, expectation counseling and preoperative retinal assessment are critical. The global experience with Argus II has enrolled no more than 300 cases so far. The first Argus II retinal prosthesis in Iran was successfully implanted in Shiraz (October 2017). To date, Argus II artificial retina is implanted in four patients in Iran. Beside successful surgery and...