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    Parameter Estimation in Molecular Carrier-based Nanonetworks

    , M.Sc. Thesis Sharif University of Technology Mehrabi, Mahdieh (Author) ; Nasiri Kenari, Masoumeh (Supervisor) ; Aminzadeh Gohari, Amin (Co-Advisor)
    Abstract
    In recent years, molecular communications have received considerable attentions for communication between nano-machines. In this communication scheme, which uses molecules as information carriers, nano transmitter and receiver are in distance apart of nano meter to meter and information is encoded into type, concentration or releasing time of molecules. Since nano transmitter and receiver can do very simple operations, such as adding, sensing, and etc., for more complicated operations, a network of nano transceivers is required. In this thesis, a small scale imaging of an abnormality in the environment is investigated. To this end, a network of sensors is assumed to be placed in the... 

    In Vivo-Based Artificial Neural Networks to Predict 3d Human Body Posture and Lumbosacral Joint Moment During Lifting Activities

    , M.Sc. Thesis Sharif University of Technology Aghazadeh Shabestari, Farzad (Author) ; Arjmand, Navid (Supervisor)
    Abstract
    Manual material handling (MMH) is associated with mechanical back injuries. To manage such injuries, musculoskeletal models are employed to estimate spinal loads during MMH. These models require, as input, 3D-position of the hand-load and body posture whose measurements involve skillful and time-consuming motion analysis investigations.In order to facilitate the procedure of posture measurements and load estimations, three coupled artificial-neural-networks (ANNs) were developed. To predict whole body posture, ANN1 was trained based on our novel measurements on 15 individuals. Each individual performed several static-tasks by holding 0, 5, and 10 kg weight at 9 different anterior-left...