Sheeba Angel | Anna University (original) (raw)
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Papers by Sheeba Angel
Journal of Intelligent & Fuzzy Systems
Despite the numerous risks that high-rise buildings face, fire accidents happen most frequently. ... more Despite the numerous risks that high-rise buildings face, fire accidents happen most frequently. Studying fire accidents in high-rise buildings is crucial because they can result in harm to people’s health, fatalities, property damage, and pollution. The number of accidental fires in buildings is very large since it is difficult to isolate a single cause and all processes and control measures are not appropriately implemented. This paper proposes a fuzzy-bow tie approach to evaluating the risk of fire accidents by taking into account the various fire sources and effects. The fourteen-floor high-rise residential building is used as a case study for the proposed fuzzy bow tie approach. The fuzzy fault tree approach estimates that there is a 0.0968% risk of a fire accident occurring in that high-rise building, with a possibility for 9 out of 100 accidental fires annually. The fuzzy event tree model predicts that loss of life and loss of property are the most likely consequences of an a...
International Journal of Engineering and Technology
2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), 2017
As the result of urbanization in many developing countries, people migrate towards cities. This l... more As the result of urbanization in many developing countries, people migrate towards cities. This leads to the construction of high rise buildings in metropolitan cities to accommodate huge influx of people. In an emergency situation like fire or terrorist attack, safe evacuation of people is important. This makes emergency evacuation problem one of the major concerns. The proposed intelligent evacuation system employs FPGA based concurrent multi door control and fire warning system during an emergency condition. The system also provides the information to avoid the fire occurred floor to ease the evacuation. Stairwell is the safest access in multi-storey buildings through which people can evacuate during fire disaster. Hence, the evacuation study using stairwell is crucial in emergency evacuation. An analytical approach has been implemented using petri nets to model the emergency evacuation system considering human behavior on emergency. In this work the evacuation is modeled considering the visibility of exits, human behavior and stampede at the stairs using petri-nets. The time delay in evacuation considering variation in the number of people inside the building is obtained using TimeNET petri net tool.
Physica A: Statistical Mechanics and its Applications
2021 Asian Conference on Innovation in Technology (ASIANCON), 2021
In this paper a finite state machine model for human behavioral tendencies under emergency situat... more In this paper a finite state machine model for human behavioral tendencies under emergency situations in multi-floor buildings is proposed. Prediction of human activity inside high rise buildings on emergency scenarios like earthquakes, tsunami, fire accident or terrorist attacks is a difficult task which could cause fatal injuries and needs realistic modelling of the scenario. Finite state machines which could be analyzed using Markov chains facilitates the analysis of human behavior. We develop a finite state machine model that captures human behavioral state characteristics and provides the solution based on discrete-time Markov chain. We extend our method to the specific case of building with multiple floors and stairways to analyze the behavior of occupants under an emergency condition and evaluate the overall evacuation time.
Journal of Intelligent & Fuzzy Systems
Despite the numerous risks that high-rise buildings face, fire accidents happen most frequently. ... more Despite the numerous risks that high-rise buildings face, fire accidents happen most frequently. Studying fire accidents in high-rise buildings is crucial because they can result in harm to people’s health, fatalities, property damage, and pollution. The number of accidental fires in buildings is very large since it is difficult to isolate a single cause and all processes and control measures are not appropriately implemented. This paper proposes a fuzzy-bow tie approach to evaluating the risk of fire accidents by taking into account the various fire sources and effects. The fourteen-floor high-rise residential building is used as a case study for the proposed fuzzy bow tie approach. The fuzzy fault tree approach estimates that there is a 0.0968% risk of a fire accident occurring in that high-rise building, with a possibility for 9 out of 100 accidental fires annually. The fuzzy event tree model predicts that loss of life and loss of property are the most likely consequences of an a...
International Journal of Engineering and Technology
2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), 2017
As the result of urbanization in many developing countries, people migrate towards cities. This l... more As the result of urbanization in many developing countries, people migrate towards cities. This leads to the construction of high rise buildings in metropolitan cities to accommodate huge influx of people. In an emergency situation like fire or terrorist attack, safe evacuation of people is important. This makes emergency evacuation problem one of the major concerns. The proposed intelligent evacuation system employs FPGA based concurrent multi door control and fire warning system during an emergency condition. The system also provides the information to avoid the fire occurred floor to ease the evacuation. Stairwell is the safest access in multi-storey buildings through which people can evacuate during fire disaster. Hence, the evacuation study using stairwell is crucial in emergency evacuation. An analytical approach has been implemented using petri nets to model the emergency evacuation system considering human behavior on emergency. In this work the evacuation is modeled considering the visibility of exits, human behavior and stampede at the stairs using petri-nets. The time delay in evacuation considering variation in the number of people inside the building is obtained using TimeNET petri net tool.
Physica A: Statistical Mechanics and its Applications
2021 Asian Conference on Innovation in Technology (ASIANCON), 2021
In this paper a finite state machine model for human behavioral tendencies under emergency situat... more In this paper a finite state machine model for human behavioral tendencies under emergency situations in multi-floor buildings is proposed. Prediction of human activity inside high rise buildings on emergency scenarios like earthquakes, tsunami, fire accident or terrorist attacks is a difficult task which could cause fatal injuries and needs realistic modelling of the scenario. Finite state machines which could be analyzed using Markov chains facilitates the analysis of human behavior. We develop a finite state machine model that captures human behavioral state characteristics and provides the solution based on discrete-time Markov chain. We extend our method to the specific case of building with multiple floors and stairways to analyze the behavior of occupants under an emergency condition and evaluate the overall evacuation time.