Search Results - (( _ evacuation system algorithm ) OR ( based regulation based algorithm ))
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Moreover, fire detection system and evacuation system operate independently whereby fire alarm control panel system (FACPS) only receives the signal and thereafter, the evacuation process takes parts without any information about the hazardous fire location. …”
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The banjir rescue: an IoT-based flood evacuation center system / Nur Aliah Syamsurial
Published 2020“…Finally, the selection is made where the algorithm will choose the nearest evacuation center to the victims. …”
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Adaptive emergency evacuation centre management for dynamic relocation of flood victims using firefly algorithm
Published 2016“…Therefore, this article proposes a decision aid model to be utilized in realizing an adaptive emergency evacuation centre management system. This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app. …”
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The application of firefly algorithm in an adaptive emergency evacuation centre management (AEECM) for dynamic relocation of flood victims
Published 2016“…This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app.The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre.The proposed decision aid model and the adaptive system can be applied in supporting the National Security Council’s respond mechanisms for handling disaster management level II (State level) especially in providing better management of the flood evacuating centres.…”
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Banjir rescue: IOT-based flood evacuation center / Nor Azimah Khalid ... [et al.]
Published 2025“…Finally, the selection is made where the algorithm will choose the nearest evacuation center to the victims. …”
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Modification of dijkstra's algorithm for safest and shortest path during emergency evacuation
Published 2015“…Intelligent autonomous evacuation navigation (AEN) system manages to solve wayfinding problems during emergency evacuation, especially for those who are not familiar with the building. …”
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Enhanced multi-agent approaches for efficient evacuation and rescue operations in managing disasters
Published 2025“…This study addresses disaster management within Multi-Agent System (MAS) environments, focusing on two critical phases: evacuation and rescue. …”
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Mobile Crowd Steering Evacuation Model via Agent Based Simulation by Applying the Social Force Model
Published 2025“…Many researchers have created simulation evacuation models to test evacuation systems' ability to optimize evacuation time. …”
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Development of IoT-based automated dynamic emergency response system against fire incidents in academic building
Published 2023“…By leveraging the power of IoT technology, machine learning algorithms and BIM, the proposed system aims to reduce the impact of fire disasters by providing accurate and timely information, route optimization and facilitating effective evacuation and rescue efforts. …”
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DC-link capacitor voltage regulation for three-phase three-level inverter-based shunt active power filter with inverted error deviation control
Published 2016“…A new control technique known as inverted error deviation (IED) control is incorporated into the main DC-link capacitor voltage regulation algorithm of a three-level neutral-point diode clamped (NPC) inverter-based shunt active power filter (SAPF) to enhance its performance in overall DC-link voltage regulation so as to improve its harmonics mitigation performances. …”
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DC-link capacitor voltage regulation with effort-reduction fuzzy logic control for three-level inverter-based shunt active power filter
Published 2017“…This paper presents a fuzzy-based DC-link capacitor voltage regulation algorithm with reduced computational efforts to enhance performance of three-phase three-level neutral-point diode clamped (NPC) inverter-based SAPF in overall DC-link voltage regulation. …”
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Optimizing Crowd Evacuation In The Emergency Route Planning Problem
Published 2015“…In this study, an integrated evacuation planning framework utilizing crowd evacuation model and an artificial immune system (AIS) algorithm, called iEvaP, was proposed. iEvaP was validated against Lu et al. (2003) and its parameters were calibrated for optimum performance.…”
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Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models
Published 2023“…In this work, the optimal base pressure is determined using the PCA-BAS-ENN-based algorithm to modify the base pressure presetting accuracy, thereby regulating the base drag required for the smooth flow of aerodynamic vehicles. …”
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Enhanced control algorithms for multilevel inverter-based shunt active power filter
Published 2017“…Second, overall DC-link voltage of SAPF is still regulated using inaccurate yet slow response control algorithms. …”
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ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
Published 2015“…For crowd analytics and surveillance systems, motion estimation is an indispensable first-step. …”
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An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input–multi-output gantry crane system
Published 2023“…Comparative findings alongside other existing metaheuristic-based algorithms confirmed excellence of the proposed method through its superior performance against the conventional MPA, particle swarm optimization (PSO), grey wolf optimizer (GWO), moth-flame optimization (MFO), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), salp-swarm algorithm (SSA), slime mould algorithm (SMA), flow direction algorithm (FDA), and the formally published adaptive safe experimentation dynamics (ASED)-based methods.…”
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Fast and optimal tuning of fractional order PID controller for AVR system based on memorizable-smoothed functional algorithm
Published 2022“…Nevertheless, many existing optimization tools for tuning the FOPID controller, which are based on multi-agent based optimization, require large number of function evaluation in their algorithm that could lead to high computational burden. …”
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