Enhanced air operations for ground situational awareness

Blasch, Erik; Wang, Zhonghai; Shen, Dan; Chen, Genshe; Ling, Haibin

doi:10.1109/dasc.2014.6979456

Cited by 4 publications

(1 citation statement)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The semantic web represents data using the RDF framework about resources in a graph form [78]. RDF focuses on WWW resource data and capturing the metadata (e.g., Web page changes) using formal semantics.…”

Section: Resource Description Framework (Rdf)mentioning

confidence: 99%

Ontologies for nextgen avionics systems

Blasch¹

2015

2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)

Self Cite

View full text Add to dashboard Cite

The Federal Aviation Administration (FAA) Next Generation Air Transportation System (NextGen) system incorporates many updates to aerospace technology including coordination of air traffic management (ATM), flight deck control, and avionics architectures. One such consideration is the need for ontologies. An ontology is a formal naming and definition of the types, properties, and interrelationships of the entities that exist (and persist) for a particular domain. In aviation, an ontology is needed to organize the variables to afford computations, instructions, and the relationships between parameters. For example Triples are used as Universal Resource Identifiers (URIs) in the case of {subject, predicate (verb), object}. The subject and object entities can be connected with the relationship predicate. Together, they are an event such as an ontology coordinating Notice to Airmen (NOTAM) flight weather information. In this paper, we explore the concepts of ontologies for applications to aerospace avionics as motivated by the NextGen and Single European Sky ATM Research (SESAR) standards.

show abstract

Section: Resource Description Framework (Rdf)mentioning

confidence: 99%

Ontologies for nextgen avionics systems

Blasch¹

2015

2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)

Self Cite

View full text Add to dashboard Cite

show abstract

Optimizing the Number of Transmitters and Receivers Per Node for an IoMCT Unmanned Wireless Networking System

Sarker

Al‐Nahhas²

2018

IEEE Internet Things J.

View full text Add to dashboard Cite

Multi-intelligence critical rating assessment of fusion techniques (MiCRAFT) method

Blasch

2015

2015 National Aerospace and Electronics Conference (NAECON)

Self Cite

View full text Add to dashboard Cite

Assessment of multi-intelligence fusion techniques includes algorithm performance credibility, mission needs quality assessment, and work-domain usability. Situation awareness (SAW) bridges low-level information fusion (tracking and identification), with high-level information fusion (threat and scenario-based assessment), against user refinement (physical, cognitive, and information tasks). To measure SAW, common techniques include the NASA TLX (Task Load Index), SAGAT (Situational Awareness Global Assessment Technique) probes, SART (Situational Awareness Rating Technique) questionnaires, and CDM (Critical Decision Method) decision points. These SAW tools are combined for a MultiIntelligence Critical Rating Assessment of Fusion Techniques (MiCRAFT). The focus is to measure user refinement of a situation over the information fusion quality of service (QoS) metrics: timeliness, accuracy, confidence, workload (cost), and attention (throughput). A key component of any user analysis includes correlation, association, and summarization of data; so we also seek measure SAW in the QuEST of information.

show abstract

Enhanced air operations for ground situational awareness

Cited by 4 publications

References 80 publications

Ontologies for nextgen avionics systems

Ontologies for nextgen avionics systems

Optimizing the Number of Transmitters and Receivers Per Node for an IoMCT Unmanned Wireless Networking System

Multi-intelligence critical rating assessment of fusion techniques (MiCRAFT) method

Contact Info

Product

Resources

About