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K.Dilip M.Tech,C.S.P (13131D8001)
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Page 1: Tech sem 2_dilip

K.DilipM.Tech,C.S.P(13131D8001)

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Introduction:

• Data and information fusion (DIF) involves a process of combining data and information from multiple Inputs.

• DIF techniques were first introduced to the research community in the 1970s.

• The Joint Directors of Laboratories data fusion (JDL DF) model is possibly the most widely used model for data fusion.

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Data Fusion Models Introduced

1. The Intelligence Cycle

2. The Boyd Control Loop

3. The Waterfall Model

4. The Dasarathy's Model.

5. The JDL Data Fusion Model.

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The Intelligence Cycle

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The Boyd Control Loop

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The Waterfall Model

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The Dasarathy's model

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The JDL Data Fusion Model

• It is a functional model developed with the aim of facilitating coordination and cooperation among diverse data fusion communities to identify and solve problems to which data fusion can be applied.

• It consists of five levels namely Level-0,Level-1,Level-2, Level-3,Level-4

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Levels:

1. Level 0 (Sub-Object Data Assessment)–estimation and prediction of observable states of signals or features;

2. Level 1 (Object Assessment)–estimation and prediction of entity states based on data association, as well as continuous and discrete state estimation;

3. Level 2 (Situation Assessment)–estimation and prediction of relationships among entities;

4. Level 3 (Impact Assessment)–estimation and prediction of effects of entities’ actions on goals/missions;

5. Level 4 (Process Refinement)–an element of Resource Management that encompasses adaptivity in the data collection and fusion processes to support mission objectives.

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Applications

1. Strategic/Tactical Defence.

2. Computer/Information Security

3. Crisis/Disaster Management

4. Fault Detection and Identification/Diagnosis

5. Biomedical Applications/Informatics

6. Environment

7. Industrial Applications

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References

• PEK HUI FOO and GEE WAH NG: High-level Information Fusion: an overview .In Journal of Advances In Information Fusion vol. 8, 2013

• Federico Castanedo:A Review of Data Fusion Techniques Deusto Institute of Technology, DeustoTech, University of Deusto, Avenida de las Universidades 24, 48007 Bilbao, Spain,2013

• S. ACHARYA, D. BUCCI, and M. KAM :Representation and fusion of conditionally refined opinions using evidence trees. In Proceedings of the International Conference on Information Fusion, 2012

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