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Record W3043060422 · doi:10.4031/mtsj.49.6.14

The Genesis of Electronic Charting

2015· article· en· W3043060422 on OpenAlexaboutno aff
Helmut Lanziner

Bibliographic record

VenueMarine Technology Society Journal · 2015
Typearticle
Languageen
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsGlobal Positioning SystemChartGeographic coordinate systemPosition (finance)Computer scienceConstellationSatellite constellationRelation (database)TelecommunicationsSatelliteReal-time computingGeographyEngineeringGeodesyData mining

Abstract

fetched live from OpenAlex

Abstract Significant advances in marine navigation have resulted in all major vessels being equipped with GPS (Global Positioning System) receivers today, capable of providing highly accurate positions worldwide as an input to ECS (Electronic Chart System) and ECDIS (Electronic Chart Display and Information System), a system that was approved by IMO (International Maritime Organization) for use on ships in 1989.Similarly, most major vehicle fleet operations and, in fact, most automobiles are now available with devices referred to as a “GPS,” although they consist of the same two distinct subsystems. One is essentially a GPS receiver that collects signals from a satellite constellation to calculate a position. Most importantly, it provides a latitude and longitude position, which is sent to the second subsystem consisting of a computer with a graphics display that shows this Lat/Lon position on a map or chart background.To manufacturers, GPS is primarily an enabling technology for electronic charts and mapping systems that provides the necessary position information so it can be displayed in relation to surrounding hazards. It does this without delay and often in combination with other important navigation sensor data on board. Without charts as a background, numbers or coordinates alone can't tell the mariner about his or her relationship to a reef or shoal up ahead.Without such systems, ships could not meet the suggested accuracies for “Harbor Entrance and Approach” in the United States. ECDIS has been recognized by many great leaders in the industry: “It will completely change the way we do business…. For the first time you will know where you are, not where you were.” —RADM J. Austin Yeager, NOAA Coast & Geodetic Survey (A New Way to Navigate) “ECDIS is the most significant improvement in navigation in the past 100 years.” —Captain Ed Rollinson, U.S. Coast Guard (ECDIS—A View From the Bridge, issued by The Canadian Hydrographic Service and Partners, U.S. Coast Guard R&D Center) “ECDIS…Potentially the most significant breakthrough in marine navigation that has occurred since the advent of radar almost 50 years ago” —Dr. Lee Alexander, Chairman of International Electrotechnical Commission Working Group (Leading the Way with ECPINS, issued by Offshore Systems Ltd. [OSL]/Offshore Systems International [OSI])Development and application of the first ECS is presented, together with subsequent advances to the level of ECDIS.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations2
Published2015
Admission routes1
Has abstractyes

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