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Record W4306922429 · doi:10.33012/2022.18488

An Initial Assessment of VDE-Terrestrial Channel Performance

2022· article· en· W4306922429 on OpenAlexaboutno aff
Gregory C. Johnson, Kenneth Dykstra, Sophie Ordell, John W. Forster, James Spilsbury

Bibliographic record

VenueProceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM) · 2022
Typearticle
Languageen
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsInteroperabilityAutomatic Identification SystemChannel (broadcasting)Computer scienceCoast guardTelecommunicationsRemote sensingReal-time computingEngineeringGeographyMarine engineeringWorld Wide Web

Abstract

fetched live from OpenAlex

The volume of marine vessels using the Automatic Identification System (AIS) has been increasing since its inception in 2000. This increase is resulting in overloading of the two channels that carry the AIS transmissions. In response to this overloading of AIS, international organizations like the International Telecommunication Union (ITU), the International Maritime Organization (IMO), and the International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) are developing the next generation AIS – called Very High Frequency (VHF) Data Exchange System (VDES). VDES is a technological concept utilizing terrestrial and satellite radio communication links in the VHF maritime mobile band to facilitate globally interoperable digital data exchange between ships, between ships and shore, between shore and ships, between ships and satellites, and between satellites and ships. VDES consists of four components: AIS (two 25kHz channels), Application Specific Message (ASM, two 25kHz channels), VDE Terrestrial (VDE-Ter, two 100kHz channels) and VDE Satellite (VDESat, two 150kHz channels overlapped with VDE Terrestrial). The U.S. Coast Guard (USCG) Research & Development Center (RDC) is researching VDES to assess the suitability for implementation. To support VDES research, RDC developed a technology road map and designed and implemented two field tests to evaluate the system. The first field test was conducted in the New London, CT area from April – Aug 2021 and focused on the transmission of Sensitive but Unclassified Tactical Information Exchange and Display System (STEDS) messages using VDES ASM channels. STEDS is presently implemented by the USCG on AIS channels, but this study assessed the feasibility of transitioning this traffic to the ASM channels in the future. The second field test was initiated in 2022 with the goal to continue the assessment of the performance of VDES (including the larger bandwidth VDE-Ter channels) and to identify issues that need to be resolved for potential operational implementation. These issues include how to manage the bulletin boards and channel management between adjacent base stations with overlapping coverage, including those on international borders. Mobile transceivers were installed on several vessels. Small messages (position reports and weather data) were transmitted on all three channels (AIS, ASM, and VDE-Ter) in both directions (ship-to-shore and shore-to-ship). Longer messages (files of various sizes) were also transmitted on VDE-Ter from shore-to-ship and ship-to-shore. Data was collected and analyzed to examine the impact of range (signal strength) on channel performance (measured by message delivery percent and time). Interoperability between VDES devices from different manufacturers as well as international coordination with Canada was also examined. This paper provides a technical description of the VDE component of VDES as currently defined in the international standards, describes the test configuration and plan, presents the data collected, and the results of our analysis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0080.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.292
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)Same topicMaritime Navigation and SafetyFrench-language works237,207