The Experts below are selected from a list of 74259 Experts worldwide ranked by ideXlab platform
Gerald Sterling - One of the best experts on this subject based on the ideXlab platform.
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IDEAL - Synthetic Environment representational semantics using the web ontology language
Lecture Notes in Computer Science, 2005Co-Authors: Mehul Bhatt, Wenny Rahayu, Gerald SterlingAbstract:The application of Ontologies for the definition and interoperability of complementary taxonomies has been well-recognised within the Modelling & Simulation (M&S) community. Our research pertaining to the specification of Synthetic Environment (SE) representational semantics has proposed the use of an SyntheticEnvironmentData RepresentationOntology (sedOnto), which is modeled using W3C’s Web Ontology Language(OWL). The vocabulary specified in sedOnto is based the SEDRIS Data Representation Model (DRM), which is a technological framework for SE data interchange and interoperability. In this paper, we present STOWL – SEDRIS To OWLTransform that automates the transformation of a SEDRIS based SE to a Web-Ontology based representation scheme in the OWL language. The target representation scheme, which shall be based on sedOnto, is in actuality an instantiation of the SE data representation terminology as specified by sedOnto. Such a transformation has many perceived advantages: It enhances SE interoperability by utilizing a Web-Ontology based approach for the specification of SE representation data, is consistent with existing industry based SE representation standards, namely SEDRIS, and that the representation scheme facilitates ontological reasoning over SE objects; a facility that is not directly supported by the SEDRIS DRM.
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DS-8 - Semantics of a Multimedia Database for Support within Synthetic Environments for Multiple Sensor Systems
Database Semantics, 1999Co-Authors: Gerald Sterling, Tharam S. Dillon, Elizabeth ChangAbstract:This paper describes work investigating the application of Synthetic Environment technology to sensor systems with particular emphasis on the multimedia aspects of the work. The work is being done within the Air Operations Division of the Defense Science and Technology Organisation and La Trobe University in Australia.
Kevin Shaw - One of the best experts on this subject based on the ideXlab platform.
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DEXA - A Framework for Databasing 3D Synthetic Environment Data
Lecture Notes in Computer Science, 2001Co-Authors: Roy Ladner, Abdelguerfi, Ruth Wilson, Frank P. Mccreedy, John Breckenridge, Kevin ShawAbstract:Since 1994 the Digital Mapping, Charting and Geodesy Analysis Program at the Naval Research Laboratory has been developing an object-oriented spatial and temporal database, the Geographic Information Database (GIDB™). Recently, we have expanded our research in the spatial database area to include three-dimensional Synthetic Environment (3D SE) data. This work has focused on investigating an extension to the National Imagery and Mapping Agency's (NIMA's) current Vector Product Format (VPF) known as VPF+. This paper overviews the GIDB and describes the data structures of VPF+ and a prototyped 3D Synthetic Environment using VPF+. The latter was designed as a 3D Geographic Information System (3D-GIS) that would assist the U.S. Marine Corps with mission preparation and also provide onsite awareness in urban areas.
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An overview of 3D Synthetic Environment construction
3D Synthetic Environment Reconstruction, 2001Co-Authors: Roy Ladner, Kevin ShawAbstract:This chapter provides introductory material on three-dimensional Synthetic Environments. Readers are given an understanding of what Synthetic Environments are and how they are used in varied disciplines along with a look at some of the technologies used for Synthetic Environment visualization. Readers are provided with an outline of the sources and nature of Synthetic Environment data and are presented with the challenges associated with constructing realistic Synthetic Environments.
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Framework for 3D Synthetic Environment construction and rendering
Modeling Simulation and Visualization for Real and Virtual Environments, 1999Co-Authors: Roy Ladner, Abdelguerfi, Kevin ShawAbstract:The Naval Research Laboratory's Digital Mapping, Charting, and Geodesy Analysis Program is investigating the extension of the National Imagery and Mapping Agency's Vector Product Format (VPF) to handle a wide range of non-manifold 3D objects for modeling and simulation. The extended VPF, referred to as VPF+, makes use of a non-manifold data structure for modeling 3D Synthetic Environments. The data structure uses a boundary representation method.
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INTEROP - 3D Synthetic Environment Representation Using the Non-Manifold 3D Winged-Edge Data Structure
Interoperating Geographic Information Systems, 1999Co-Authors: Roy Ladner, Kevin Shaw, AbdelguerfiAbstract:A Non-Manifold data structure for the modeling of 3D Synthetic Environments is proposed. The data structure uses a boundary representation (B-rep) method. B-rep models 3D objects by describing them in terms of their bounding entities and by topologically orienting them in a manner that enables the distinction between the object’s interior and exterior. Consistent with B-rep, the representational scheme of the proposed data structure includes both topologic and geometric information. The topologic information encompasses the adjacencies involved in 3D manifold and non-manifold objects, and is described using a new, extended Winged-Edge data structure. This data structure is referred to as “Non-Manifold 3D Winged-Edge Topology”. The time complexity of the newly introduced data structure is investigated. Additionally, the Non-Manifold 3D Winged-Edge Topology is being prototyped in a Web-Based virtual reality application. The prototype data consists of Military Operation in Urban Terrain (MOUT) data for Camp LeJeune, North Carolina. The application is expected to be ideal for training and simulation exercises as well as actual field operations requiring on-site assistance in urban areas.
Roy Ladner - One of the best experts on this subject based on the ideXlab platform.
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DEXA - A Framework for Databasing 3D Synthetic Environment Data
Lecture Notes in Computer Science, 2001Co-Authors: Roy Ladner, Abdelguerfi, Ruth Wilson, Frank P. Mccreedy, John Breckenridge, Kevin ShawAbstract:Since 1994 the Digital Mapping, Charting and Geodesy Analysis Program at the Naval Research Laboratory has been developing an object-oriented spatial and temporal database, the Geographic Information Database (GIDB™). Recently, we have expanded our research in the spatial database area to include three-dimensional Synthetic Environment (3D SE) data. This work has focused on investigating an extension to the National Imagery and Mapping Agency's (NIMA's) current Vector Product Format (VPF) known as VPF+. This paper overviews the GIDB and describes the data structures of VPF+ and a prototyped 3D Synthetic Environment using VPF+. The latter was designed as a 3D Geographic Information System (3D-GIS) that would assist the U.S. Marine Corps with mission preparation and also provide onsite awareness in urban areas.
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A Data Structure for 3D Synthetic Environment Reconstruction
2001Co-Authors: Roy Ladner, Abdelguerfi, Ruth Wilson, Frank P. Mccreedy, John BreckenridgeAbstract:Abstract : The Digital Mapping, Chaffing and Geodesy Analysis Program (DMAP) at the Naval Research Laboratory has investigated an extension to the National Imagery and Mapping Agency's (NIMA's) current Vector Product Format (VPF) known as VPF+. This paper describes VPF-1 and a prototyped 3D Synthetic Environment using VPF+. The latter was designed as a 3D Geographic Information System (3D-GIS) that would assist the U.S. Marine Corps with mission preparation and also provide onsite awareness in urban areas. The prototype supplements the more traditional 2D digital-mapping output with a 3D interactive Synthetic Environment.
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An overview of 3D Synthetic Environment construction
3D Synthetic Environment Reconstruction, 2001Co-Authors: Roy Ladner, Kevin ShawAbstract:This chapter provides introductory material on three-dimensional Synthetic Environments. Readers are given an understanding of what Synthetic Environments are and how they are used in varied disciplines along with a look at some of the technologies used for Synthetic Environment visualization. Readers are provided with an outline of the sources and nature of Synthetic Environment data and are presented with the challenges associated with constructing realistic Synthetic Environments.
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3d Synthetic Environment generation
2000Co-Authors: Abdelguerfi, Roy LadnerAbstract:The National Imagery and Mapping Agency (NIMA) is the primary provider of Synthetic Environment data to the Department of Defense and to the private sector. Vector Product Format (VPF) is the format used by NIMA to disseminate a significant amount of that data. VPF has, nevertheless, been documented being less than adequate as a distribution medium for three-dimensional Synthetic Environment data. In particular, VPF arranges features into disjoint, thematic layers and lacks much attribute and geometric data necessary to re-construct many features as three-dimensional objects. These shortcomings add much time and money to the process of constructing Synthetic Environment databases. This dissertation describes the software architecture of VPF+, a new superset of VPF. The new data structure enables the storage in a single, integrated, and topologically consistent coverage of a wide range of three-dimensional features that are likely to be encountered in a three-dimensional Synthetic Environment. The topologic adjacencies of three-dimensional manifold and non-manifold objects in the Synthetic Environment are described using a new, extended Winged-Edge data structure, referred to as “Non-Manifold 3D Winged-Edge Topology”.
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Framework for 3D Synthetic Environment construction and rendering
Modeling Simulation and Visualization for Real and Virtual Environments, 1999Co-Authors: Roy Ladner, Abdelguerfi, Kevin ShawAbstract:The Naval Research Laboratory's Digital Mapping, Charting, and Geodesy Analysis Program is investigating the extension of the National Imagery and Mapping Agency's Vector Product Format (VPF) to handle a wide range of non-manifold 3D objects for modeling and simulation. The extended VPF, referred to as VPF+, makes use of a non-manifold data structure for modeling 3D Synthetic Environments. The data structure uses a boundary representation method.
Mir Abolfazl Mostafavi - One of the best experts on this subject based on the ideXlab platform.
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Overview of the OGC CDB Standard for 3D Synthetic Environment Modeling and Simulation
ISPRS International Journal of Geo-Information, 2017Co-Authors: Sara Saeedi, Steve H. L. Liang, David Graham, Michael F. Lokuta, Mir Abolfazl MostafaviAbstract:Recent advances in sensor and platform technologies, such as satellite systems, unmanned aerial vehicles (UAV), manned aerial platforms, and ground-based sensor networks have resulted in massive volumes of data being produced and collected about the earth. Processing, managing, and analyzing these data is one of the main challenges in 3D Synthetic representation used in modeling and simulation (M&S) of the natural Environment. M&S devices, such as flight simulators, traditionally require a variety of different databases to provide a Synthetic representation of the world. M&S often requires integration of data from a variety of sources stored in different formats. Thus, for simulation of a complex Synthetic Environment, such as a 3D terrain model, tackling interoperability among its components (geospatial data, natural and man-made objects, dynamic and static models) is a critical challenge. Conventional approaches used local proprietary data models and formats. These approaches often lacked interoperability and created silos of content within the simulation community. Therefore, open geospatial standards are increasingly perceived as a means to promote interoperability and reusability for 3D M&S. In this paper, the Open Geospatial Consortium (OGC) CDB Standard is introduced. “CDB” originally referred to Common DataBase, which is currently considered as a name with no abbreviation in the OGC community. The OGC CDB is an international standard for structuring, modeling, and storing geospatial information required in high-performance modeling and simulation applications. CDB defines the core conceptual models, use cases, requirements, and specifications for employing geospatial data in 3D M&S. The main features of the OGC CDB Standard are described as the run-time performance, full plug-and-play interoperable geospatial data store, usefulness in 3D and dynamic simulation Environment, ability to integrate proprietary and open-source data formats. Furthermore, compatibility with the OGC standards baseline reduces the complexity of discovering, transforming, and streaming geospatial data into the Synthetic Environment and makes them more widely acceptable to major geospatial data/software producers. This paper includes an overview of OGC CDB version 1.0, which defines a conceptual model and file structure for the storage, access, and modification of a multi-resolution 3D Synthetic Environment data store. Finally, this paper presents a perspective of future versions of the OGC CDB and what the steps are for humanizing the OGC CDB standard with the other OGC/ISO standards baseline.
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Overview of the OGC CDB Standard for 3D Synthetic Environment Simulation & Modeling
2017Co-Authors: Sara Saeedi, Steve H. L. Liang, David Graham, Michael F. Lokuta, Mir Abolfazl MostafaviAbstract:Recent advances in sensor and platform technologies such as satellite systems, unmanned aerial vehicles (UAV), manned aerial platforms, and ground-based sensor networks have resulted in massive volumes of data is produced and collected about the earth. Processing, managing, and analyzing these data is one of the main challenges in 3D Synthetic representation used in modeling and simulation (M&S) of the natural Environment. M&S devices, such as flight simulators, traditionally require a variety of different databases to provide a Synthetic representation of the world. M&S often requires integration of data from a variety of sources stored in different formats. Thus, for simulation of a complex Synthetic Environment, such as a 3D terrain model, tackling interoperability among its components (geospatial data, natural and man-made objects, dynamic and static models) is a critical challenge. Conventional approaches used local proprietary data models and formats. These approaches often lacked interoperability and created silos of content within the simulation community. Therefore, open geospatial standards are increasingly perceived as a means to promote interoperability and reusability for 3D M&S. In this paper, the Open Geospatial Consortium (OGC) CDB Standard is introduced. “CDB” originally refers to Common DataBase which is currently considered as a name with no abbreviation in the OGC community. The OGC CDB is an international standard for structuring, modeling, and storing geospatial information required in high performance modeling and simulation applications. CDB defines the core conceptual models, use cases, requirements, and specifications for employing geospatial data in 3D M&S. The main features of the OGC CDB Standard are described as run-time performance, full plug-and-play interoperable geospatial data store, usefulness in 3D and dynamic simulation Environment, ability to integrate proprietary and open-source data formats. Furthermore, compatibility with the OGC standards baseline reduces the complexity of discovering, transforming, and streaming geospatial data into the Synthetic Environment and makes them more widely acceptable to major geospatial data/software producers. This paper includes an overview of OGC CDB version 1.0 which defines a conceptual model and file structure for the storage, access, and modification of a multi-resolution 3D Synthetic Environment data store. Finally, this paper presents a perspective of future versions of the OGC CDB and what the steps are for humanizing the OGC CDB standard with the other OGC/ISO standards baseline.
Liu Gao-feng - One of the best experts on this subject based on the ideXlab platform.
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Research on Synthetic Environment Simulation System of Sea Battlefield Based on HLA
Computer Simulation, 2008Co-Authors: Liu Gao-fengAbstract:As the kernel component and the key subsystem of warfare simulation system, Synthetic Environment simulation system (SESS) has the function of Environment supporting and running control, whose performance determines fidelity and credibility of warfare simulation. At first, the capability, characters, hardware and software structure of SESS of sea battlefield HLA-based were explicated. Then the process of realization was brought forward. Finally the key techniques such as software modeling by UML, SEDRIS, GIS, 3D real-time display and CGF were discussed and validated by prototype.
