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A synthetic dataset for evaluating soft and hard fusion algorithms
TLDR
This paper outlines the design methodologies, content, and some potential use cases of a COIN-based synthetic soft and hard dataset created under a United States Multi-disciplinary University Research Initiative (MURI) program funded by the U.S. Army Research Office (ARO). Expand
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A COIN-inspired synthetic dataset for qualitative evaluation of hard and soft fusion systems
TLDR
This paper describes a new data set being developed at the Pennsylvania State University aimed at addressing this challenge. Expand
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Network and infrastructure considerations for hard and soft information fusion processes
TLDR
The changing landscape of defense and security applications, as well as existing needs in other domains, has given rise to the need to design and develop information fusion systems that entail the combination of hard (physical sensor) data and observations from humans (soft data) in a distributed networked environment. Expand
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Test and evaluation of soft/hard information fusion systems: A test environment, methodology and initial data sets
TLDR
This paper describes an experimental facility called an extreme events laboratory, a test and evaluation approach, and evolving test data sets for evaluation of human-centered information fusion systems for situation awareness. Expand
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Beyond visualization of big data: a multi-stage data exploration approach using visualization, sonification, and storification
TLDR
This paper proposes a novel approach that utilizes a service oriented architecture (SOA)-based hybrid visualization/ sonification / storification framework to enable distributed human-in-the-loop processing of data in a manner that makes optimized usage of both visual and auditory processing pathways while also leveraging the value of narrative explication. Expand
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Using Complex Event Processing (CEP) and vocal synthesis techniques to improve comprehension of sonified human-centric data
TLDR
The field of sonification, which uses auditory presentation of data to replace or augment visualization techniques, is gaining popularity and acceptance for analysis of “big data”. Expand
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Hybrid human-computing distributed sense-making: extending the soa paradigm for dynamic adjudication and optimization of human and computer roles
TLDR
This research explores the current state of the art in distributed hard and soft information fusion and seeks to address the above-mentioned gaps and challenges through a novel integration of paradigms and techniques such as service oriented architecture (SOA), multi-agent software systems (MAS), complex event processing (CEP), sonification (auditory display), message oriented middleware (MOM), and community standard data representation. Expand
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A multi-agent infrastructure for hard and soft information fusion
TLDR
This paper describes a multi-agent approach to designing a secure, distributed, service-oriented infrastructure to support human-centric hard and soft information fusion. Expand
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Conserving analyst attention units: use of multi-agent software and CEP methods to assist information analysis
TLDR
An information framework influenced by Klein’s (Recognition Primed Decision) RPD model, Endsley's model of situational awareness, and the Joint Directors of Laboratories (JDL) data fusion process model can be implemented through a novel combination of Complex Event Processing (CEP) and Multi-Agent Software. Expand
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Advances in data representation for hard/soft information fusion
Information fusion is becoming increasingly human-centric. While past systems typically relegated humans to the role of analyzing a finished fusion product, current systems are exploring the role ofExpand
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