Quantify: An Information Fusion Model Based on Syntactic and Semantic Analysis and Quality Assessments to Enhance Situation Awareness

2019 ◽  
pp. 563-586
Author(s):  
Leonardo Castro Botega ◽  
Allan Cesar Moreira de Oliveira ◽  
Valdir Amancio Pereira Junior ◽  
Jordan Ferreira Saran ◽  
Lucas Zanco Ladeira ◽  
...  
Keyword(s):  
Information Fusion ◽  
Situation Awareness ◽  
Semantic Analysis ◽  
Fusion Model ◽  
Model Based ◽  
Quality Assessments

scholarly journals Multi source asynchronous information fusion technology based on cross prompts and its application

2018 ◽  
Vol 246 ◽  
pp. 03021
Author(s):  
Wei Daozhi ◽  
Huang Da ◽  
Huang Shucai
Keyword(s):  
Target Detection ◽  
Information Fusion ◽  
High Tech ◽  
Structure Model ◽  
Fusion Technology ◽  
Fuzzy Decision ◽  
Fusion Model ◽  
Model Based ◽  
Detection And Tracking ◽  
Attack And Defense

Several modern local high-tech wars have shown that the development of war is determined by the precise strike weapons at both ends of attack and defense. In this paper, the urgent requirement of defense ballistic missile target is taken as traction, and the heterogeneous multi-sensor cross-prompt technology is used as support to study the heterogeneous multi-sensor cross-prompt and its application in target detection. On the basis of fully studying the basic theory of heterogeneous multi-sensor cross-prompting, a cross-prompting network structure model based on typical anti-missile combat mission driving and a data fusion model based on asynchronous information are established, and a multi-sensor cross-prompting method based on fuzzy decision is designed. The model and method proposed in this paper are applied to target detection and tracking, and the model and method involved in this paper are verified by simulation.

A Fast Annotation Model Based on Visual Concept Distribution

2013 ◽  
Vol 333-335 ◽  
pp. 988-991
Author(s):  
Dong Lin Cao ◽  
Xian Ming Lin ◽  
Da Zhen Lin
Keyword(s):  
Image Retrieval ◽  
Semantic Analysis ◽  
Image Annotation ◽  
Visual Concept ◽  
Fusion Model ◽  
Model Based

Image annotation is one of the important technologies in image retrieval and semantic analysis. To overcome the estimation and efficiency problem in CMRM model, we proposed a Visual Concept Distribution based annotation model which estimates the probability through the Visual Concept Set. Experiment results shows that our approach outperforms three classical annotation models (CMRM, CRM and PLSA-WORDS) and closes to the complicated PLSA-FUSION model.

A New Multisensor Information Fusion Model Using Dempster-Shafer Theory

2013 ◽  
Vol 475-476 ◽  
pp. 415-418
Author(s):  
Jian Li ◽  
Ying Wang ◽  
Zhi Jie Mao
Keyword(s):  
Information Fusion ◽  
Fusion Process ◽  
Contextual Knowledge ◽  
Fusion Model ◽  
Primary Mass ◽  
Model Based ◽  
Dempster Shafer Theory ◽  
Multisensor Information Fusion ◽  
Shafer Theory

The aim of this paper is to investigate how to use the contextual knowledge in order to improve the fusion process. The concept of multisensor information fusion model based on the Dempster-Shafer Theory is introduced. The resulting information of the architecture is combined using similar sensor subset and dissimilar sensor subset. We demonstrate the effectiveness of this approach using the uncertain and disparate information compared to primary mass assignment techniques.

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