Adaptation through Crowdsourcing in Disaster Management: A Complexity Theory Perspective

, Ph.D. Dissertation Sharif University of Technology Darivandi Shoushtari, Kosar (Author) ; Masoud Talebian (Supervisor) ; Shadnam, Masoud (Supervisor)

Abstract

The increasing frequency and intensity of disasters worldwide are giving rise to increasingly complex situations. Affected communities often struggle to respond effectively and rapidly using only their existing resources and infrastructure, including formal emergency response systems. In this context, voluntary efforts by citizen volunteers play an important role in enhancing communities’ adaptive capacity and resilience. Nevertheless, the considerable potential of volunteer-led disaster response is undermined by challenges related to coordination and organizing. Realizing this potential requires appropriate organizing solutions. This dissertation explores various approaches to organizing...

Investigation of segregation of large particles in a pressurized fluidized bed with a high velocity gas: A discrete particle simulation

, Article Powder Technology ; Volume 246 , September , 2013 , Pages 398-412 ; 00325910 (ISSN) Alavi Shoushtari, N ; Hosseini, S. A ; Soleimani, R ; Sharif University of Technology

2013

Abstract

A numerical study on mixing/segregation phenomena in a pressurized fluidized bed with large particles of Geldart D type of binary density but same diameter with high velocity gas was performed by the use of discrete particle simulation. Particle mixtures are composed of spherical particles with 2mm diameter and 1g/cm3 flotsam density and different jetsam densities of 1.25, 2 and 2.5g/cm3 with jetsam volume fraction of 0.5. The particles are initially packed approaching perfect mixing state in a rectangular bed and then fluidized by gas uniformly injected at the bottom of the bed. Effect of increase of pressure and density ratio was investigated and mixing/segregation behavior is discussed in...

Designing EEG-based Deep Neural Network for Analysis of Functional and Effective Brain Connectivity

, M.Sc. Thesis Sharif University of Technology Shoushtari, Shirin (Author) ; Mohammadzadeh, Hoda (Supervisor) ; Amini, Arash (Supervisor)

Abstract

Brain states analysis during consciousness is emerging research in brain-computer interface(BCI). Emotion recognition can be applied to learn brain states and stages of neural activities. Therefore, emotion recognition is crucial to the analysis of brain functioning. Electrical signals such as electroencephalogram (EEG), electrocardiogram (ECG) and functional magnetic resonance imaging(fMRI) are frequently used in emotion recognition researches. Convenience in recording, non-invasive nature and high temporal resolution are the factors that have made EEG popular in brain researches. EEG can be used to identify brain region activity solely or the connectivity of various regions in time in the...

Characterization of liquid bridge formed during gas-oil gravity drainage in fractured porous media

, Article 16th European Conference on the Mathematics of Oil Recovery, ECMOR 2018, 3 September 2018 through 6 September 2018 ; 2018 ; 9789462822603 (ISBN) Harimi, B ; Masihi, M ; Ghazanfari, M. H ; Shoushtari, A ; Sharif University of Technology

European Association of Geoscientists and Engineers, EAGE 2018

Abstract

Gas-oil gravity drainage that takes place in the gas-invaded zone of fractured reservoirs is the main production mechanism of gas-cap drive fractured reservoirs as well as fractured reservoirs subjected to gas injection. Interaction of neighboring matrix blocks through reinfiltration and capillary continuity effects controls the efficiency of gravity drainage. Existence of capillary continuity between adjacent matrix block is likely to increase the ultimate recovery significantly. Liquid bridge formed in fractures has a significant role in maintaining the capillary continuity between two neighboring matrix blocks. The degree of capillary continuity is proportional to capillary pressure in...

Studies on Modeling of Bioreactors for Removal of Pollutants in Flue Gas

, M.Sc. Thesis Sharif University of Technology Mousavi Shoushtari, Shimasadat (Author) ; Vosoughi, Manoochehr (Supervisor) ; Yaghmaei, Soheila (Supervisor)

Abstract

In present study, two bioreactors for biological and chemical removal of nitrogen oxides are modeled. Nitrogen oxides are of the most important pollutants in flue gas stream. These components are hazardous materials and could lead to acid rain, ground-level ozone, smog and the depletion of ozone layer. There are several methods for removing these pollutants which are categorized to two main groups: non-biological and biological methods. Biological removal has the advantage of removing the pollutants by an acceptable efficiency. In present study, two packed-bed bioreactors are modeled by the means of considering two kinds of biological removal mechanism in defined operating conditions. The...

Analysis of accumulators configuration in LB-LOCA for Bushehr NPP

, Article Annals of Nuclear Energy ; Volume 92 , 2016 , Pages 96-106 ; 03064549 (ISSN) Shoushtari, M. M ; Jafari, J ; Aghaie, M ; Vosoughi, N ; Nemati, M ; Sharif University of Technology

Elsevier Ltd 2016

Abstract

This research focuses on a sensitivity analysis of accumulators configuration in a Large Break Loss of Coolant Accident (LB-LOCA) in Bushehr Nuclear Power Plant (BNPP). In this way, primary and secondary side components are modeled using RELAP5/MOD3.3 code. Having modeled the BNPP in a steady state hot full power operation, the thermal hydraulic consequences of a LB-LOCA in the reactor inlet is considered and sensitivity analysis for four major different configurations of accumulators are studied in detail. It is shown that any arrangement of accumulators in the Reactor Pressure Chamber (RPC) or Reactor Collection Chambers (RCC) leads to variation of fuel and clad temperatures during the...

Modeling of Boushehr NPP (as built) and Analysis of Large Break Loss of Coolant Accident (LB-LOCA) Using RELAP5/MOD3.2 System Code

, M.Sc. Thesis Sharif University of Technology Khalife Shoushtari, Mohammad Mahdi (Author) ; Vossoughi, Naser (Supervisor) ; Jafari, Jalil (Supervisor)

Abstract

In this work the large break loss of coolant accident at Boushehr Nuclear Power Plant (NPP) has been studied. At first, primary and secondary side’s components which play important role in the accident have been modeled using RELAP5/MOD3.2 GAMMA system code. The components are: reactor pressure vessel, main pipe lines, main coolant pumps, pressurizer, steam generators, steam lines, emergency core cooling accumulators, boron solution supply tanks and pumps (LP& HP) and KWU accumulators. After preparing the input file and running the code, thermal hydraulic properties such as radial distribution of temperature in fuel rods, temperature distribution in steam generator primary and secondary...

Drug Delivery into the Anterior Segment of the Eye

, M.Sc. Thesis Sharif University of Technology Alavi Shoushtari, Navid (Author) ; Abdekhodaie, Mohammad Jafar (Supervisor) ; Bastani, Daruosh (Supervisor)

Abstract

Transport phenomena i.e. momentum, heat and mass transfer are occurring inside the eye constantly. Any disturbance in each of these could lead to diseases or ocular problems. Konwledge of transport phenomena can help surgeons and specialists to identify problems more easily and cure the problems effectively. Further more, these phenomena have a great impact on drug delivery inside the eye. Therefore deep understanding of them makes investigation of different therapies easy and convenient. Consequently this understanding could lead to choose the best method and route of administration available. A precise model which is in consistence with the real human eye has been developed and the ocular...