Yazar "Rahman, A.A." seçeneğine göre listele

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    3D indoor navigation prototype for smartphones
    (Conference Chairs of 3DGeoInfo 2014 in Karlsruhe, 2014) Ortakci, Y.; Karas, I.R.; Rahman, A.A.
    Nowadays, there are a lot of multi-storey, complex and huge buildings in the cit ies especially in metropolises. These buildings are almost like a small city with their tens of floors, hundreds of corridors and rooms and passages. Sometimes people lost their way in these huge buildings. Due to the size and complexity of these buildings, people need guidance to find their way to the destination in these buildings. In this study, a mobile application has been developed to visualize a pedestrian's indoor location as 3D in his/her smartphone. This mobile application has the characteristics of a prototype for indoor navigation systems. While the pedestrian is walking on his/her way, the smartphone will guide the pedestrian with the photos of indoor environment on the route, arrow marks and text information. As a future plan, an RFID (Radio-Frequency Identification) technology can be integrated to the system to detect the location of the pedestrian during his/her tour in the building. By this way, the system will navigate the users more accurately as a real-time navigation system. Copyright © (2014) by the corresponding authors of the papers.
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    A 3D-GIS implementation for realizing 3D network analysis and routing simulation for evacuation purpose
    (Kluwer Academic Publishers, 2013) Atila, U.; Karas, I.R.; Rahman, A.A.
    The need for 3D visualization and navigation within 3D-GIS environment is increasingly growing and spreading to various fields. When we consider current navigation systems, most of them are still in 2D environment that is insufficient to realize 3D objects and obtain satisfactory solutions for 3D environment. One of the most important research areas is evacuating the buildings with safety as more complex building infrastructures are increasing in today's world. The end user side of such evacuation system needs to run in mobile environment with an accurate indoor positioning while the system assist people to the destination with support of visual landscapes and voice commands. For realizing such navigation system we need to solve complex 3D network analysis. The objective of this paper is to investigate and implement 3D visualization and navigation techniques and solutions for indoor spaces within 3D-GIS. As an initial step and as for implementation a GUI provides 3D visualization of Corporation Complex in Putrajaya based on CityGML data, stores spatial data in a Geo-Database and then performs complex network analysis under some different kind of constraints. The GUI also provides a routing simulation on a calculated shortest path with voice commands and visualized instructions which are intended to be the infrastructure of a voice enabled mobile navigation system in our future work. © 2013 Springer-Verlag Berlin Heidelberg.
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    Automatic generation of 3D networks in cityGML and design of an intelligent individual evacuation model for building fires within the scope of 3D GIS
    (Kluwer Academic Publishers, 2014) Atila, U.; Karas, I.R.; Turan, M.K.; Rahman, A.A.
    Designing 3D navigation systems requires addressing solution methods for complex topologies, 3D modelling, visualization, topological network analysis and so on. 3D navigation within 3D-GIS environment is increasingly growing and spreading to various fields. One of those fields is evacuation through the shortest path with safety in case of disasters such as fire, massive terrorist attacks happening in complex and tall buildings of today’s world. Especially fire with no doubt is one of the most dangerous disaster threatening these buildings including thousands of occupants inside. This chapter presents entire solution methods for designing an intelligent individual evacuation model starting from data generation process. The model is based on Multilayer Perceptron (MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. We focus on integration of this model with a 3D-GIS based simulation for demonstrating an individual evacuation process. © Springer International Publishing Switzerland 2014.
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    Design of an intelligent individual evacuation model for high rise building fires based on neural network within the scope of 3D GIS
    (Copernicus GmbH, 2013) Atila, U.; Karas, I.R.; Turan, M.K.; Rahman, A.A.
    One of the most dangerous disaster threatening the high rise and complex buildings of today's world including thousands of occupants inside is fire with no doubt. When we consider high population and the complexity of such buildings it is clear to see that performing a rapid and safe evacuation seems hard and human being does not have good memories in case of such disasters like world trade center 9/11. Therefore, it is very important to design knowledge based realtime interactive evacuation methods instead of classical strategies which lack of flexibility. This paper presents a 3D-GIS implementation which simulates the behaviour of an intelligent indoor pedestrian navigation model proposed for a self -evacuation of a person in case of fire. The model is based on Multilayer Perceptron(MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. A sample fire scenario following through predefined instructions has been performed on 3D model of the Corporation Complex in Putrajaya (Malaysia) and the intelligent evacuation process has been realized within a proposed 3D-GIS based simulation. © 2013 Copernicus. All Rights Reserved.