Essays about: "nödsituationer"
Showing result 6 - 10 of 23 essays containing the word nödsituationer.
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6. Simulating Effects of Agent Velocity Changes on Crowd Behavior During Fire Emergency Evacuations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Fire emergencies are both deadly and difficult to accurately model in real life. Computer-simulated crowds provide a way to observe the possible outcome of a fire emergency evacuation without endangering real human subjects. READ MORE
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7. Deployable Base Stations for Mission Critical Communications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Uninterrupted network connectivity is vital for real-time and mission-critical communication networks. The failure of Base Stations due to unforeseen circumstances such as natural disasters or emergencies can affect the coverage and capacity provided by terrestrial communication networks. READ MORE
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8. Stochastic Model Predictive Control for Autonomous Emergency Integrated Braking and Steering System
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Controlling both longitudinal and lateral dynamics of an autonomous vehicle confronting possible collision requires ecient perception of surrounding environment and optimal use of its maneuverability. In emergency, separate steering or braking may not be able to avoid collision or ensure stability of the vehicle. READ MORE
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9. Hazard Identification and Risk Assessment : Analysis of a Risk Assessment Process in Emergency Preparedness
University essay from Högskolan i Gävle/Avdelningen för datavetenskap och samhällsbyggnadAbstract : A challenging yet crucial component of emergency planning is to identify relevant hazards and assess their risk level. Within the Province of Ontario, Canada, governmental emergency management stakeholders are required to use the Hazard Identification and Risk Assessment (HIRA) process, developed by the Province, to meet legislative compliance. READ MORE
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10. Machine Learning can Reduce False Alarms when Detecting Humans in Surveillance Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Video surveillance is becoming increasingly common, but with the increased number of cameras comes an increased demand for human operators to watch and issue alarms when needed. If these video feeds are left unsupervised they will be of little use in a moment of need and would only be used to find out what has happened long after it already happened. READ MORE