Sharif Digital Repository

Biopotential sensors are used in a wide range of biomedical applications. For example, measuring electric potentials on the surface of living tissues in electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG) systems in which the brain, muscle, and heart activities respectively are measured over time. Moreover, these electrodes are used in measuring the pH of different materials and also in receiving and recording the electric field changes of the environment. The major purpose of biopotential electrodes is to act as a transducer between the ionic transport of the tissue and the electron flow in the electrode. Such a transduction takes place due to an oxidation or... 

In recent years, lattice Boltzmann method (LBM) has been developed to be used as an alternative and promising computational technique to simulate various flows. It originates from classical statistical physics. The ability to simply solve complex flows, simulating of multiphase and multi-component without need to follow the boundaries of different phases, and the inherent ability of parallel processing are notable features of this approach. On the other hand, finite element method (FEM) is widely used in many practical engineering fields, especially in solid mechanics. In this study, in addition to simulating flow over a rigid body, flow over an elastic body is also simulated with a... 

In recent two decades, occurrence of unexpected disruptions, made supply chains more vulnerable and caused huge damages to them. As a result, in recent researches, the concept of supply chain resilience that concentrates on supply chain vulnerability and disruptions has been focused more. In this thesis, a new framework for resilient suppliers characteristics would be presented that can be used for evaluating resilience level of suppliers and resilient supplier selection. By utilizing scenario-based two-stage stochastic approach, a multi-objective mixed integer nonlinear model is proposed for designing a resilient four echelon supply. In the proposed model, the possibility of partial... 

Due to the urgent need for early diagnosis of many blood and gastrointestinal diseases, the development and optimization of rapid diagnosis kits is considered important. One of the best ways to make these kits is to use paper microfluidics. The paper platform is inexpensive and compatible with diagnostic processes and can enable rapid and high-sensitivity detection. In the present study, filter paper has been used as the main platform and hydrophobic channels have been created with the help of a hydrophobic marker to guide the fluid on the paper substrate. To perform the detection process, color changes resulting from the aggregation of nanoparticles on the paper are used. In this case, in... 

This dissertation presents a comprehensive probabilistic framework based on system identification for rapid seismic damage assessment of buildings at regional scale. Given the large number of buildings within a region and the need for rapid damage detection, this research uses simplified models with low computational cost to model each building. For this purpose, stochastic filters are employed as system identification tools. In the first step, a continuous linear model consisting of a Timoshenko beam in combination with the extended Kalman filter is utilized. This model is subjected to joint state-parameter identification under both fixed- and flexible-base conditions. Additionally, the...