High-Level Information Fusion Management and Systems Design

Name: High-Level Information Fusion Management and Systems Design
Brand: Artech House
Price: 139.99 EUR
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Erik Blasch(Author)

Artech House (Publisher)

1st Edition

Published on 1. January 2012

376 pages

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978-1-60807-152-4 (ISBN)

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Content

Intro
Contents
1 Introduction
1.1 High-Level Information Fusion (HLIF)
1.2 Book Structure
1.2.1 Perspectives from Australian Contr
1.2.2 Perspectives from Canadian Contrib
1.2.3 Perspectives from United States Co
1.3 A Science of High-Level Information
References
Part I Information Fusion Concepts
2 Situation Assessment and Situation Awareness
2.1 Introduction
2.2 Situation Awareness and Situation Assessment Defined
2.3 Situation Awareness (SAW) Models
2.3.1 Endsley's SAW Model
2.3.2 Recognition Primed Decision (RPD) Making Model
2.4 Situation Assessment Models
2.4.1 Data Fusion Information Group Mode
2.4.2 Situational Assessment Models for
2.5 Situational Assessment Model Based o
2.5.1 Syntactic Algorithms and Semantic
2.5.2 Definition of a Situation
2.5.3 The Situation Awareness Reference
2.6 Current Information Fusion Situation
2.7 Discussion
2.7.1 Situation Assessment Representatio
2.7.2 Situation Assessment Metrics
2.7.3 SA/SAW Issues and Challenges
2.8 Conclusions
References
3 The State Transition Data Fusion Model
3.1 Information Revolution
3.1.1 Situation Awareness
3.1.2 Data Fusion
3.1.3 Renaissance
3.2 State Transitions
3.2.1 Classification
3.2.2 States
3.2.3 Transitions
3.2.4 JDL States in the World
3.3 The STDF Fusion Process
3.3.1 Prediction, Observation, and Expla
3.3.2 The General Form of a Fusion Proce
3.3.3 JDL Assessments
3.4 Level 0 Fusion
3.4.1 Level 0 Signal Fusion
3.4.2 Level 0 Textual Fusion
3.5 Level 1 Fusion
3.5.1 Level 1 Signal Fusion
3.5.2 Level 1 Textual Fusion
3.6 Level 2 Fusion
3.7 Level 3 Fusion
References
4 Formalization of Situation Analysis Through Interpreted Systems Semantics
4.1 Introduction
4.1.1 Formal Models of Higher Levels of
4.1.2 Situations in State Spaces
4.2 Background
4.2.1 Interpreted Systems
4.2.2 Different Kinds of Interpreted Sys
4.3 Formalization of the Situation Analy
4.3.1 Situation
4.3.2 Situation Awareness
4.3.3 Situation Perception and Comprehen
4.3.4 Situation Analysis
4.4 Illustrations on a Surveillance Scen
4.4.1 Situation
4.4.2 Situation Awareness
4.4.3 Belief, Revision, and Update
4.4.4 Situation Analysis
4.5 Conclusions
References
Part II Distributed Information Fusion and Management
5 The Role of Information Management to Support High-Level Fusion
5.1 Introduction: What Is Information Ma
5.2 Model of Information Management
5.2.1 Managed Information Objects
5.2.2 Actors
5.2.3 Service Layers
5.2.4 Information Spaces
5.2.5 Utility of the Information Managem
5.3 Information Management Challenges in
5.4 Information Management Best Practice
5.4.1 Information Sharing
5.4.2 Reducing Complexity
5.4.3 Control and Flexibility
5.5 Information Management Support to In
5.5.1 Information Lifecycle
5.5.2 Syntactic and Semantic Interoperab
5.5.3 Management and Exploitation of Con
5.5.4 Management and Exploitation of Uns
5.5.5 Information Management as a Servic
5.5.6 Workflow
5.6 Information Management from an Agent
5.7 Conclusions
References
6 Coalition Distributed Information Fusion Testbed
6.1 Models of Collaboration
6.1.1 Technology Showcase
6.1.2 Technology Demonstration
6.1.3 Technology Evaluation
6.1.4 Technology Sharing
6.1.5 Joint Development
6.1.6 Joint Ownership
6.2 Requirements
6.2.1 Provide Simulated Information Feed
6.2.2 Real-Time Performance
6.2.3 Distributed Architecture
6.2.4 Integrate Heterogeneous Systems
6.2.5 Loose Coupling Between Components
6.2.6 Dynamic Resource Management and Pr
6.3 CoAX (Collaboration 2002 Experiment)
6.4 Architecture
6.4.1 Simulation Layer
6.4.2 Information Management Layer
6.4.3 Information Fusion Layer
6.4.4 Resource Management Layer
6.4.5 Human-Machine Interface Layer
6.5 Conclusion
References
7 Information Fusion and Resource Management Testbed
7.1 Introduction
7.2 INFORM Lab Architecture
7.2.1 OODA Agent Components
7.2.2 Platforms
7.2.3 Default Communicator
7.2.4 Goals
7.2.5 Situation Evidence
7.2.6 Agent Affiliations and Relationshi
7.2.7 Services
7.2.8 Extension Mechanisms
7.3 INFORM Lab Implementation
7.4 Tests and Validation
7.5 Conclusion
References
8 The Legal Agreement Protocol
8.1 Conceptualization
8.1.1 Decentralization
8.1.2 Ubiquity
8.1.3 Automation
8.1.4 Integration
8.2 Formalization
8.2.1 Contract Formation
8.2.2 Contract Performance
8.2.3 Contract Remedies
8.3 Computation
8.3.1 Contract Formation
8.3.2 Contract Performance
8.3.3 Contract Remedies
8.4 Sample Vignette
References
Part III Human-System Interaction
9 User-Defined Operating Picture (UDOP)
9.1 Introduction
9.2 The Need for a New Picturing Capabil
9.2.1 Challenges with Picturing Capabili
9.2.2 Potential Universality of Picturin
9.2.3 Impact of Picturing Challenges and
9.2.4 Defining Users and User Needs
9.2.5 Current Abilities to Define Own Pi
9.2.6 Purposes of Picturing Capabilities
9.3 Characteristics of a UDOP
9.4 Realizing a Future UDOP Capability
9.4.1 Developing an Understanding of Com
9.4.2 Providing Guidance for Exploitatio
9.4.3 Feasibility of UDOP
9.4.4 Way Forward
9.5 A Few Examples of Remaining Issues
9.5.1 Awareness of Information Sources
9.5.2 Selecting Information Sources
9.5.3 Dealing with Remaining Need-to-Kno
9.5.4 Catering for Varying End User Expe
9.6 Conclusions
Acknowledgments
References
10 User Information Fusion Decision Making Analysis with the C-OODA Model
10.1 Introduction
10.2 Decision Making Models
10.2.1 DFIG and OODA Loop
10.2.2 Multiplayer OODA
10.3 The Cognitive OODA Loop
10.3.1 Situation Assessment Models
10.3.2 SHOR Model for Action
10.3.3 The Skills-Rules-Knowledge Model
10.3.4 The Modular OODA (M-OODA)
10.3.5 The Cognitive Process Included in
10.4 Simulation
10.5 Discussion and Conclusions
References
Part IV Scenario-Based Design
11 Scenario-Based Design for Situation Analysis
11.1 Introduction
11.2 Findings on SBD Methodology
11.2.1 The Proposed SBD Framework for Mi
11.2.2 Specifics of the Military Strike
11.3 Scenario-Based Design Process Based
11.4 Conclusion
References
12 A Coalition Approach to High-Level Information Fusion
12.1 Introduction
12.1.1 Vision
12.1.2 Content
12.2 Scenario
12.3 CDIFT
12.4 Platforms, Sensor Models, and Track
12.4.1 Redland Warships
12.4.2 Convoy
12.4.3 Commercial Air Corridors
12.4.4 Blueland Ground-Based Radars
12.4.5 Events and Order of Battle ORBAT
12.5 Fusion 2+
12.6 Indicators of Collective Behaviour
12.6.1 Indicators of Collective Behaviou
12.6.2 Identifying Candidate Clusters
12.6.3 Assessing Confidence
12.6.4 Inferring Intent
12.6.5 CDIFT Application
12.7 STDF Model
12.7.1 State Representation
12.7.2 Observation
12.7.3 Prediction and Explanation
12.8 Higher COP
12.9 Urban Operations
12.10 Combat Search and Rescue (CSAR)
12.11 Conclusion
References
13 Operating Condition Scenario Modeling for Information Fusion Assessment
13.1 Introduction
13.1.1 Sensor-Based Classifier Operating
13.1.2 Scenario-Based Evaluation
13.1.3 Design of Experiments for Scenari
13.2 Operating Condition Model Terminolo
13.2.1 Direct Versus Indirect OCs
13.2.2 Derived OCs
13.2.3 Standard OCs Versus Extended OCs
13.3 Operating Condition Model Design
13.3.1 Bayes Model
13.3.2 Bayes Fusion from Real World (Sce
13.4 Example Operating Conditions
13.4.1 Target OCs
13.4.2 Environmental OCs
13.4.3 Sensor OCs
13.4.4 ATC Training OCs
13.4.5 OC Model
13.5 Conditioning on Operating Condition
13.6 Conclusions
Acknowledgments
References
Part V Measures of Effectiveness
14 A Toolbox for the Evaluation of Surveillance Strategies Based on Interpreted Systems
14.1 Introduction
14.2 Situations Generated by Motion and
14.2.1 Visibility-Based Pursuit-Evasion
14.2.2 Sensor Placement Problem
14.2.3 Exploration
14.3 Situation Analysis Toolbox
14.3.1 Countersmuggling Vignette
14.3.2 The Discretization Toolbox
14.3.3 The State Generator
14.3.4 The State Searching Toolbox
14.3.5 The Behavior Simulation Toolbox
14.3.6 The Visualization Toolbox
14.4 Conclusions
Acknowledgments
References
15 Measuring the Worthiness of Situation Assessment
15.1 Introduction
15.2 The Situation Assessment Concept
15.2.1 Situation Awareness Reference Mod
15.2.2 Activities of Interest Snapshot i
15.2.3 Data Information Ratio
15.3 Metrics
15.3.1 AOI Score
15.3.2 Measuring How Well We Are Doing
15.4 Example
15.4.1 Calculated Example with Few Activ
15.4.2 Simulated Example with Numerous A
15.5 Conclusions
References
16 Measures of Effectiveness for High-Level Information Fusion
16.1 Introduction
16.2 Background
16.2.1 Low-Level Versus High-Level Infor
16.2.2 High-Level Information Fusion as
16.2.3 Information Fusion Systems Evalua
16.2.4 Quality of Service/Information Re
16.2.5 Metric Standardization
16.3 Information Fusion Quality Measures
16.3.1 Quality of Service
16.3.2 Information Quality
16.4 Information Fusion MOEs
16.4.1 Low-Level Information Fusion MOEs
16.4.2 High-Level Information Fusion MOE
16.4.3 Organizational Effectiveness
16.4.4 Information Gain
16.5 Situation Awareness Example
16.6 Conclusions
References
17 Summary
17.1 Current Trends
17.2 Future
References
About the Editors
List of Contributors
Index

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High-Level Information Fusion Management and Systems Design

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