15486362
Simulation Training Platform for Large Tactical Communication Equipment Based on VR
A simulation training platform aiming at the difficult problem of training is presented. Platform is built based on HLA and its framework is designed to hierarchical structure. Models of training equipment are created with software named GL Studio and Multigen Creator. Key technologies of modeling process are detailed. Equipment operations are layered and its rules are described with XML document. Driving framework programming with Vega Prime API can integrate 3D models, operation rules, special effect and whole scene to a platform system based on VR. Finally, plug-in soft framework is adopted to implement the system and simulation examples are introduced to prove the feasibility of the platform.
6208997
Network Attack-Defense Simulation Training System Based on HLA
Soldiers possessing of network attack-defense ability are the key factor for future information war. Aiming at the problem of lacking daily training and drilling environment, a method of building Network Attack-Defense Simulation Training System (NADSTS) based on HLA is put forward. With the method, attack and defense training are designed as different federation member. The system is divided to presentation, application and adapter layer clearly. Key technologies involves network attack-defense, network simulation and simulation driving are also presented. Software is developed based on plug-in framework. Its simulation examples show greatest traits on building similar large-scale simulation system.
13922126
Scene Simulation Platform Based on Data Fusion of Multiple Format 3D Models
Scene simulation technology has been the basal component for building 3D simulation application now. Constructing a general scene simulation platform based on multiple format 3D models can greatly speed developing process of simulation application and promote developing efficiency. According to the idea above, a method of building scene simulation platform based on models data fusion is put forward. With this method, multiple 3D model data format such as FLT, 3DS, X, WRL and GLS are fused and driven by OpenGL API. The layered structure and framework based on HLA are also presented to design the platform. Key technologies involving model data fusion and simulation driving are detailed. Finally, challenges associating with realization of the platform named plug-in framework and simulation examples based on the platform are brought forward. It shows greatest traits on building similar large-scale simulation application system.
29726375
Collaborative Education Model and Its Application in E-learning
This paper presents a collaborative education model and its application in e-learning. This work is distinguished by three contributions. One is the proposition of three goals of e-learning in "source, transmit and quality" views. The second one is the proposition of collaborative education model including model of studying process, model of studying environment and six collaborative scenarios. The last one is the proposition of a collaborative e-learning implementation architecture.
30192317
Modeling and Simulation of Continuous Time-Invariant Systems in Simulation Based Learning Environments
Simulation based learning environments are widely used in elementary and secondary science education. However, a large number of these learning environments are domain-dependent so that they are only useful in some special domains. In this paper, we put forward a new method of simulating continuous time-invariant systems by using frame based knowledge representation and interpretive structural modeling. This method is helpful to realize the separation of knowledge representation and simulation program, and promotes the reusability of a simulation based learning environment.
15724966
A Semantic Web-based Architecture for Collaborative Multi-Agent Functional Modeling in Design
This paper presents a novel architecture for collaborative multi-agent functional modeling in design on the semantic Web. The proposed architecture is composed of two visiting levels, i.e., local level and global level. The local level is an ontology-based functional modeling framework, which uses Web ontology language (OWL) to build a domain-specific local functional design ontology repository. Using this local ontology repository, the requests coming from the functional design agent can be parsed and performed effectively. The global level is a distributed multi-agent collaborative virtual environment, in which, OWL is used as a content language within the standard FIPA agent communication language (FIPA ACL) messages for describing ontologies, enabling diverse functional design ontologies between different agents to be communicated freely. The proposed architecture facilitates the exchange between diverse knowledge representation schemes in different functional modeling environments, and supports computer supported cooperative work (CSCW) between multiple functional design agents
3074175
Research on an event specification for event-based collaboration support software architecture
In this paper, we propose an event specification language for event-based collaboration support software architecture, which incorporates some basic concepts, four event operators and four event-occurrence operators to conveniently allow complex event descriptions. The semantics of the language is also studied In the event specification language, we distinguish between event and event occurrence, identify primitive events, and introduce a small number of event operators for constructing composite (or complex) events. The novel aspect of our work lies in supporting a rich set of events and event expressions.
20633806
Inelastic Simulation of Insect Cuticle Using Artificial Neural Network
Neural networks have been availably applied to the simulations of the mechanical behaviors of many materials. In this work, a neural network material model is built for the simulation of the inelastic behavior of biocomposite insect cuticle. Radial basis function neural network is adopted in the simulation for that the neural network has the characteristic of fast and exactly completing the simulation. In the construction of the neural network, the network is trained based on the experimental data of the load-displacement relationship of a chafer cuticle. A strain-controlled mode and the iterative method of data are adopted in the training process of the neural network. The obtained neural network model is used for the simulation of the inelastic behavior of another kind of insect cuticle. It is shown that the obtained material model of the radial basis function neural network can satisfactorily simulate the inelastic behavior of insect cuticle.