Search Results - (( building information path algorithm ) OR ( power selection based algorithm ))
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High Rise Building Evacuation Route Model Using DIJKSTRA'S Algorithm
Published 2015“…This research aims to assist the evacuees to find the shortest path in a high rise building using a shortest path algorithm. …”
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
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3
Modeling dynamic weight for 3D navigation routing
Published 2007“…In this paper, an approach for finding shortest path or route in a dynamic situation for indoors and outdoors using Single Sink Shortest Path (SSSP) routing algorithm is proposed. …”
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Wind power forecasting with metaheuristic-based feature selection and neural networks
Published 2024“…The results show that the GA consistently outperforms other algorithms in selecting the most influential features, leading to improved precision in wind power predictions. …”
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Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems
Published 2021“…Therefore, antenna selection, user selection, optimal transmission power, and pilot reuse power are important aspects in improving energy efficiency in massive MIMO systems. …”
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On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems
Published 2020“…The optimal antenna could be chosen based on the transmitted power by selecting the preceding channel estimation. …”
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7
Map navigation for mobile tourist / Rohana Abd Jalil
Published 2007“…However, using this technology have some restricted because of the limited capabilities which it can not work properly inside buildings or in narrow path and light-based systems such as infrared beacon require a tight infrastructure. …”
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8
Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi
Published 2008“…Hereby, the Dijkstra’s algorithm is tested with the developed 3D navigation network inside the building model. …”
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Firefly algorithm for optimal sizing of Standalone Photovoltaic System / Nurizzati Abdul Aziz
Published 2016“…In addition, sizing algorithm with FA was also discovered to outperform sizing algorithm with selected computational intelligence, i.e. …”
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A Scalable Algorithm for Constructing Frequent Pattern Tree
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Implementation of Cognitive Mapping Algorithm for Robot Navigation System
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Load flow method using genetic algorithm
Published 2003“…Genetic algorithms (GAs) are search methods based on the natural selection and natural genetics, while power flow studies, commonly known as load flow, form an important part of power system analysis. …”
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Improved power output forecastingtechnique for effective battery management in photovoltaic system / Utpal Kumar Das
Published 2019“…A PSO-based algorithm is adopted for the appropriate selection of dominated parameters of SVR-based model to achieve better performance. …”
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A real-time integrated fire detection and alarm (FDA) system for network based building automation
Published 2017“…Methods/Analysis: In this work, the shortest path algorithm was chosen for series of buildings connected by a fiber-optic network. …”
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Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…The proposed solution to this problem is based on a general combinatorial optimization algorithm known as Genetic Algorithm, and the load flow equations in distribution network. …”
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Real-time power system dynamic security assessment based on advanced feature selection for decision tree classifiers
Published 2017“…This paper proposed a novel algorithm based on advanced feature selection technique for decision tree (DT) classifier to assess the dynamic security in power system. …”
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A new framework for multi-partition finite state machine low power design based on genetic algorithm
Published 2018“…Many researchers use a variety of algorithms to optimize a solution. Among these methods is the genetic algorithm (GA)-based optimization, that technique shows a high performance to reduce FSM power consumption. …”
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20
A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…Electrical energy demand forecasting plays a pivotal role as a decision support tool in the modern power industry. The focus of the paper is to propose a hybrid approach for the selection of the most influential input variables for the training and testing of neural network based hybrid models. …”
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