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    Designing a LQR controller for an electro-hydraulic-actuated-clutch model

    , Article Proceedings of 2016 2nd International Conference on Control Science and Systems Engineering, ICCSSE 2016, 27 July 2016 through 29 July 2016 ; 2016 , Pages 82-87 ; 9781467398725 (ISBN) Pourebrahim, M ; Selk Ghafari, A ; Pourebrahim, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    During the past decade, Electro-Hydraulic system has performed a significant role in industrial engineering as an actuator for high performance and precision positioning applications. In this case, many control methods have been developed for an electro-hydraulic actuated clutch. In this paper a Linear Quadratic Regulators (LQR) is proposed to trajectory control of a wet clutch actuated by a hydraulic servo valve mechanism. Simulation study was performed using linearized mathematical model of the system implemented in MATLAB software. Based on the simulation results performance of the proposed controller was evaluated and discussed  

    Heat and Cooling Load Management through Minimizing the Heat Transfer and Utilizing the Storage Potential of Materials and Equipment Inside a Building

    , M.Sc. Thesis Sharif University of Technology Pourebrahim, Marjan (Author) ; Saboohi, Yadollah (Supervisor)
    Abstract
    Buildings are responsible for 40% of total energy consumption worldwide. A significant portion of this energy contributes to building temperature control, and energy storage is an effective way to reduce energy consumption and to levelize the supply of heat load. A solution for reducing energy consumption in the building is to increase the thermal inertia of the building and to store energy using smart materials in the building components. Materials with phase change can stabilize the internal temperature of the building.In the present study, model is exmined with the help of modeling the thermal behavior of a room in Tehran in summer, using MATLAB software. The problem is solved by the... 

    Design and Implementat of a Navigating Procedure for Robotic-assisted Fracture Reduction of Long Bones

    , M.Sc. Thesis Sharif University of Technology Pourebrahim, Majid (Author) ; Farahmand, Farzam (Supervisor)
    Abstract
    During femur fracture reduction surgery, both patients and surgeons are exposed to a great amount of radiation, which is harmful to their health. Computer-assisted orthopaedic surgery (CAOS) is a less invasive approach for its ability to reduce the usage of image intensifiers. Various robots have been developed for femur fracture reduction surgery. Most of these robots are based on serial architectures. Both low load-carrying capacity and poor accuracy are inherent to serial robots, which makes them inappropriate for femur fracture reduction. Some parallel robots using the “Stewart platform” have also been developed for femur fracture reduction, but their restricted workspace limits their... 

    Semi-supervised parallel shared encoders for speech emotion recognition

    , Article Digital Signal Processing: A Review Journal ; Volume 118 , 2021 ; 10512004 (ISSN) Pourebrahim, Y ; Razzazi, F ; Sameti, H ; Sharif University of Technology
    Elsevier Inc  2021
    Abstract
    Supervised speech emotion recognition requires a large number of labeled samples that limit its use in practice. Due to easy access to unlabeled samples, a new semi-supervised method based on auto-encoders is proposed in this paper for speech emotion recognition. The proposed method performed the classification operation by extracting the information contained in unlabeled samples and combining it with the information in labeled samples. In addition, it employed maximum mean discrepancy cost function to reduce the distribution difference when the labeled and unlabeled samples were gathered from different datasets. Experimental results obtained on different emotional speech datasets... 

    Runtime Analysis of Self-adaptive Systems

    , Ph.D. Dissertation Sharif University of Technology Bagheri, Maryam (Author) ; Movaghar, Ali (Supervisor) ; Sirjani, Marjan (Supervisor)
    Abstract
    Increasing the complexity of software systems, their ubiquitous presence in the human activities, and necessity to preserving the functional and nonfunctional requirements of the systems under an uncertain environment, increase the need for self-adaptive systems. A self-adaptive system changes its structure and behaviors in response to changes in its environment and the system itself. A key research challenge in the self-adaptive community is to guarantee that the system fulfills its requirements. This issue can be addressed by employing formal methods during the design of the software systems. However, the assurance techniques should be used during the execution of the system as well as the... 

    Fairness in Machine Learning

    , M.Sc. Thesis Sharif University of Technology Pourebrahim, Tayeb (Author) ; Foroughmand Araabi, Mohammad Hadi (Supervisor)
    Abstract
    As machine learning continues to be used extensively in all aspects of human life, especially social and legal decision making; Concerns have been raised about data-driven software and services biasing against certain demographic groups. Machine learning fairness, which refers to methods for correcting algorithmic bias in automated decision-making systems, is not only a social concern but also an industry need for developing human-centered tools.The study reviews studies on bias, fairness definitions, and attempts to reduce bias in machine learning models. Eventually, we suggest a method for reducing bias in imbalanced datasets  

    Design and Manufacturing of Gradient Cellular Tibial Stem for Total Knee Replacement

    , M.Sc. Thesis Sharif University of Technology Taheri, Atiyeh (Author) ; Farahmand, Farzam (Supervisor) ; Bahrami Nasab, Marjan (Co-Supervisor)
    Abstract
    Loosening of uncemented tibial component is one the most common causes of total knee prosthesis failure which is a result of short-term factors such as instability and incomplete osseointegration as well as long-term factors such as peri-prosthetic stress shielding and bone atrophy. Porous cellular structures for tibial stem have been considered as a solution to this problem. This project is aimed to achieve an optimal gradient porous cellular design of tibial stem that in addition to sufficient mechanical strength, provides a perfect osseointegration and prevents bone resorption by incorporating appropriate porosity size, small micro-motion and favorable stress distribution on bone. A... 

    Theoretical Investigation of Quantum Optical Amplifiers in Quantum Communications

    , M.Sc. Thesis Sharif University of Technology Marjan, Negar (Author) ; Bahrampour, Alireza (Supervisor) ; Bathaee, Marzieh Sadat (Co-Supervisor)
    Abstract
    Signal transmission of information on noiseless and lossy channels is an important issue in data transmission. Using the amplifier in the transmission channels is a good solution to help send information on longer channels. In classical communication, information can be coded in the amplitude or phase of the field and an amplifier is responsible for amplifying these parameters. If we consider the conditions ideal and ignore electrical noises, Classical mechanics does not impose any restrictions on the amplification of arbitrary classical signals. Instead, in quantum telecommunications the information encoded on the quadrature of the electromagnetic field are mounted on quantum states, such... 

    On the use of compressive sensing for image enhancement

    , Article Proceedings - 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, UKSim 2016, 6 April 2016 through 8 April 2016 ; 2016 , Pages 167-171 ; 9781509008889 (ISBN) Ujan, S ; Ghorshi, S ; Khoshnevis, S. A ; Pourebrahim, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    Compressed Sensing (CS), as a new rapidly growing research field, promises to effectively recover a sparse signal at the rate of below Nyquist rate. This revolutionary technology strongly relies on the sparsity of the signal and incoherency between sensing basis and representation basis. Exact recovery of a sparse signal will be occurred in a situation that the signal of interest sensed randomly and the measurements are also taken based on sparsity level and log factor of the signal dimension. In this paper, compressed sensing method is proposed to reduce the noise and reconstruct the image signal. Noise reduction and image reconstruction are formulated in the theoretical framework of...