Browsing by Subject "Emergency"
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Item Open Access Emergency crowd simulation for outdoor environments(Pergamon Press, 2010) Oğuz, O.; Akaydın, A.; Yilmaz, T.; Güdükbay, UğurWe simulate virtual crowds in emergency situations caused by an incident, such as a fire, an explosion, or a terrorist attack. We use a continuum dynamics-based approach to simulate the escaping crowd, which produces more efficient simulations than the agent-based approaches. Only the close proximity of the incident region, which includes the crowd affected by the incident, is simulated. We use a model-based rendering approach where a polygonal mesh is rendered for each agent according to the agent's skeletal motion. To speed up the animation and visualization, we employ an offline occlusion culling technique. We animate and render a pedestrian model only if it is visible according to the static visibility information computed. In the pre-processing stage, the navigable area is decomposed into a grid of cells and the from-region visibility of these cells is computed with the help of hardware occlusion queries. © 2009 Elsevier Ltd. All rights reserved.Item Embargo Juridico-political and spatiotemporal conditions of exceptional security measures: the case of Türkiye between 1923 and 2019(2024-06) Türkoğlu Payne, BurcuThis dissertation examines the state’s interference with the constitutional rights and liberties regime in the name of security in light of the practices in Türkiye between 1923 and 2019. It aims to explain what juridical and political aspects such measures of the state may have, explore the spatial and temporal dimensions of these security measures, and relate these dimensions to the juridico-political conditions of the security measures contradicting the norms concerning rights and liberties, which are constructed legally by states. It seeks to conceptualise exceptional security measures by examining the state as a whole with all its relevant institutions instead of examining a specific source of powers, such as the executive, the legislature, or the police. It shows that the exercisers of state power and the power to make the decision that interferes with rights and liberties vary depending on the time and the juridico-political context. It seeks to understand how and when state authorities act in contradiction to the norms concerning rights and liberties, the source of state authorities’ power to interfere with the rights and liberties regime, and what spatiotemporal aspects these practices have.Item Open Access Modeling and populating virtual cities: automatic production of building models and emergency crowd simulation(2008) Oğuz, OğuzcanIn this thesis, we present an automatic building generation method based on procedural modeling approach, and a crowd animation system that simulates a crowd of pedestrians inside a city. While modeling the buildings, to achieve complex and consistent geometries we use shape grammars. The derivation process incorporates randomness so the produced models have the desired variation. The end shapes of the building models could be defined in a certain extent by the derivation rules. The behavior of human crowds inside a city is affected by the simulation scenario. In this thesis, we specifically intend to simulate the virtual crowds in emergency situations caused by an incident, such as a fire, an explosion, or a terrorist attack. We prefer to use a continuum dynamics-based approach to simulate the escaping crowd, which produces more efficient simulations than the agent-based approaches. Only the close proximity of the incident region, which includes the crowd affected by the incident, is simulated. In order to speed up the animation and visualization of the resulting simulation, we employ an offline occlusion culling technique. During runtime, we animate and render a pedestrian model only if it is visible to the user. In the pre-processing stage, the navigable area of the scene is decomposed into a grid of cells and the from-region visibility of these cells is computed with the help of hardware occlusion queries.