29 research outputs found
Development of Three-Dimensional Soil Water Dynamic Flow (3D SWD FLOW) Data Model for Landslide Modelling
No full textAnalysis using 3D geospatial models in landslide studies allows for patterning a more likely landslide displacement of soils, which enhances the precision of determining
the stability of soil masses. 3D models may better portray displacement planes, lines of landslide fissures, separation walls, protrusion ramparts, and landslide terraces
within the developing cirque than 2D flat models. The prediction accuracy of Landslide Susceptibility is significantly enhanced by the addition of spatial attributes
to the 3D Model [27]. However, three dimensional geospatial models in landslide research are receiving less attention than other environment-related studies because of the complicated integration of geotechnical and hydrological processes. Due to the challenge of combining a dynamic process with a computational framework, the existing model mostly isolates material failure from propagation. Due to
computational efficiency and deformation and flow representation issues, it is still challenging to conduct 3D analysis of the entire landslide process in an integrated
way, despite the development of numerous numerical methods to predict landslip occurrence and the extent of sediment flow. Studies of landslides must take into account perspectives and theories in geology (slope material, soil strength) and environmental science (atmospheric condition based on Antecedent Working Rainfall). Thus, the current study deals with engineering and mathematical equations FOS,
Extended Multilayer Green and Ampt method, wetting front soil suction head, Corey method and random walk) to create the 3D geospatial data model using Java. The intricacy of 3D landslides compels the researcher to adopt commercially available software with development capabilities
Three-dimensional geospatial compact abstract cell complexes data structure for urban air pollution modelling
No full textUnderstanding urban air pollution is important for sustainable urban development. Vizualization of urban air pollution modelling has been provided through the advancement of two-dimensional (2D) to three-dimensional (3D) Geographical Information System (GIS). However, current 3D GIS is still in its developing phase and focuses more on the geometry of the 3D city models. Presently, there have only been a few attempts in studying the topological relationships between 3D city objects as key elements in geospatial science. These topological relationships are vital for 3D traversal and 3D nearest neighbours information between 3D city objects in GIS. To address the lack of topological relationships in 3D GIS, Compact Abstract Cell Complexes (CACC) as a new topological data structure was developed in this research. CACC was developed by analyzing the existing data structure and identifying the limitations. Firstly, it was designed to store all the cycles that exist in different dimensions with the aim of articulating the connectivity in 3D city models. Secondly, it stored the nearest neighbours information by implementing the space-filling curve method called the Hilbert Curve. Functionally, CACC has the full traversal ability inside single and multiple connected components. Performance experiments proved that CACC requires 60% to 80% less disk storage as compared to other comparable data structures. The results have demonstrated that it is the most compact and requires minimal disk storage as well as being 90% faster in search queries of large 3D datasets. Upon validation, the implementation of CACC in urban air pollution modeling demonstrated the expediency of having a 3D topological data structure for 3D city models application. The research has developed and proved that CACC can identify topological relationships between 3D objects. Furthermore, its application can be extended to other 3D applications such as Building Information Model (BIM), Computer Aided Design (CAD), Computer Aided Engineering (CAE), web standards design, geospatial database design and disaster management and planning
Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi
No full textNavigation is an important aspect in some areas such as industrial transportation, emergency navigation and also navigation planning. Network analysis in navigation process can minimize transportation cost, disaster or accident impact and also it can provide right decision for the best route in certain situations. Dijkstra's algorithm is one of the algorithms that could be used in network analysis process especially for 2D shortest route data. Network analysis for three-dimensional (3D) network is required when it involves navigation inside a multi-level building. Current Geographical Information System (GIS) is still not capable in performing shortest route network analysis for 3D data. The complexity of building and surroundings makes GIS users require a system that can manage the phenomenon in 3D environment. Therefore, it is the aim of this study to conduct a research about the Dijsktra’s algorithm implementation for shortest path calculation in 3D environment. Hereby, the Dijkstra’s algorithm is tested with the developed 3D navigation network inside the building model. The results from the network analysis will be shown by using 3D computer game engine (3D State) in the 3D spatial objects environment and navigation can be made inside the 3D environment (Virtual Reality) by simulating human movements. Real texture of the surroundings is incorporated into the navigation system to produce realistic 3D surroundings and to give more 3D effects for the 3D virtual navigation
Implementing shortest path calculation for 3D navigation system
No full textShortest path analysis is one of a significant tool in GIS. Several algorithms can be used to utilize the analysis. Dijkstra’s algorithm has proven its capability in providing two-dimensional (2D) shortest route information. However, there are few attempts to fit the algorithm for three-dimensional (3D) shortest routes. This chapter describes the investigation and implements the algorithm for 3D environment like 3D building for indoor situations. The developed navigation system used a 3D navigational game engine. The approach works and could be extended for application including emergency and rescue operations, building management, facility management and other 3D geo-information situations
Incorporating 3D engine for building 3D network
No full textNavigation is an important aspect in some areas such as industrial transportation, emergency navigation and navigation planning. Network analysis in navigation can minimize the transportation cost, the disaster or accident impact and also able to provide right decision for the best route in certain situations. Dijkstra's algorithm is one of the algorithms that could be used in network analysis especially for 2D shortest route. However, network analysis for three-dimensional (3D) network is required when it involves navigation inside of a multi-level building. The complexity of buildings and their surroundings requires a system that can analyze the phenomenon in 3D environment. There are several attempts to utilize Dijkstra’s algorithm on 3D network. It is the aim of this study to investigate on the Dijkstra’s algorithm in 3D environment. The results from the network analysis will be shown by incorporating with 3D computer ga me engine (3D State). Real textures of 3D objects are incorporated into the navigation syste
3D volumetric soft geo-objects for dynamic urban runoff modeling
No full textSoft geo-objects have been useful for investigating spatial patterns of Geographic Information System (GIS) based overland flow mechanism, but have suffered from a lack of abilities to visualize the dynamic aspects of volumetric Streamflow Generating Processes (SGP) realistically. Existing 2D soft geo-objects data model are insufficient for analysing the dynamism of Infiltration Excess Overland Flow (IEOF) volumetrically, which is the major process contributing towards SGP. At present, there is still no unifying evidence available that provides a coherent explanation for the integration of 3D Volumetric Soft Geo-objects (VSG) data model for infiltration excess mechanisms. This study aims to visualize areas and overland flow volume generated from IEOF process dynamically using 3D VSG data model, which is driven by Green-Ampt infiltration equation. Inclusion of 3D VSG data model would offer substantial effort towards representing 3D soft geo-objects simulating IEOF dynamically within a catchment, estimating overland flow capacity, routing and diversions to reduce landslides and flood disaster
Developments in 3D geo-information sciences /
No full textVolume contains a selection of full-length papers presented at the 4th International Workshop on 3D Geo-Information held in Ghent, Belgium, Nov. 4-5, 2009. Cf. pref.Includes bibliographical references.Euler operators and navigation of multi-shell building models / Pawel Boguslawski and Christopher Gold -- True-3D visualization of glacier retreat in the Dachstein Massif, Austria : cross-media hard- and softcopy displays / Katharina Bruhm, Manfred Buchroithner and Bernd Hetze -- Towards advanced and interactive Web perspective view services / Benjamin Hagedorn, Dieter Hildebrandt and Jürgen Döllner -- Interactive modelling of buildings in Google Earth : a 3D tool for urban planning / Umit Isikdag and Sisi Zlatanova -- An experimentation of expert systems applied to 3D geological models construction / Eric Janssens-Coron ... [et al.] -- Data validation in a 3D cadastre / Sudarshan Karki, Rod Thompson and Kevin McDougall -- From three-dimensional topological relations to contact relations / Yohei Kurata -- Needs and potential of 3D city information and sensor fusion technologies for vehicle positioning in urban environments / Marc-Oliver Löwner, Andreas Sasse and Peter Hecker -- Modeling visibility through visual landmarks in 3D navigation using Geo-DBMS / Ivin Amri Musliman ... [et al.] -- A 3D inclusion test on large dataset / Kristien Ooms, Philippe De Maeyer and Tijs Neutens -- 3D volumetric soft geo-objects for dynamic urban runoff simulation / Izham Mohamad Yusoff, Muhamad Uznir Ujang and Alias Abdul-Rahman
3D navigation system for virtual reality based on 3D game engine
No full textIntense competitions in computer related industries have lead to the development of new amazing technologies. This drastically improved 3D game engine, which was initially developed for computer games, to become more adaptable and versatile thus enables it to be incorporated with GIS applications for them to support 3D capabilities.3D navigation is one of the 3D GIS components that benefited from this technology.Visualizing geospatial data in 3D environment is more relevant for navigation systems rather than using symbolic 2D maps because 3D visualization can provides users with the real spatial information (colors and shapes) and the 3D models resembles the real world objects. Navigational landmarks and other features that can be very helpful when navigating in the real world are easily spotted in the 3D environment but hardly available in 2D maps. By incorporating a database, users can even
carry out some spatial analyses that greatly improve the system’s reliability. This paper describes the development of 3D navigation system in virtual 3D (indoor and outdoor) environment by utilizing a freely available 3D game engine couple with GIS elements
Slope stability estimation using a Danger Level approach for monitoring landslide prone areas
No full textSlope stability evaluation is an essential element in assessing landslide hazards and ensuring the safe design of structures and infrastructure. There has been increased awareness of the need to give greater attention to these phenomena. However, there is no general rule for classifying
safety factors of the slope. The factor of safety (FOS) is used globally to determine slope stability by identifying shear strength and shear stress. However, the FOS cannot become the only assessment to evaluate slope stability. This research focuses more on the infiltration of soil-water that reduces the strength of slopes based on the danger level (DL). DL is divided into four categories: low, moderate, high, and very high. To estimate slope stability, four main
locations are set on the slope: P1 (highest point), P2, P3 and P4 (lowest point). The DL value is determined using FOS, a rainfall threshold, soil-water infiltration, and soil classification. The DL value for P1 is 0.567 (moderate risk), while the DL values for P2, P3, and P4 are 0.116,
0.073, and 0.095 (very high risk), respectively, indicating that this slope is hazardous. Determining hazardous slope points will be easier, as DL has classified specific slope locations with exact risk values
