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The long-range identification and tracking (LRIT) of ships was established as an international system on 19 May 2006 by the International Maritime Organization (IMO) as resolution MSC.202 (81). [1] This resolution amends Chapter V of the International Convention for the Safety of Life at Sea (SOLAS) , regulation 19-1 and binds all governments ...
the United Nations Statistics Division organized the AIS Data Week [26] to experiment with AIS data analysis and provide statistics to the UN Global Platform. It covered a number of use case studies by various statistical offices, and the AIS Handbook [27] was developed to capture the experience from this experimentation:
The Maritime Safety & Security Information System (MSSIS) is a freely-shared, unclassified, near real-time data collection and distribution network. Its member countries share data from Automatic Identification System (AIS), coastal radar, and other maritime-related systems. [1]
Lloyd's List Intelligence (formerly Lloyd's MIU LLC) is an information service dedicated to the global maritime community. It is a sister company of Lloyd's List. [1]Lloyd's List Intelligence is an interactive online service offering detailed vessel movements, real-time AIS positioning, information on ships, companies, ports and casualties as well as credit reports, industry data and analysis ...
Automatic target recognition (ATR) is the ability for an algorithm or device to recognize targets or other objects based on data obtained from sensors.. Target recognition was initially done by using an audible representation of the received signal, where a trained operator who would decipher that sound to classify the target illuminated by the radar.
performs a mathematical analysis of the signal to calculate the location of the beacon, even if the beacon's location is not reported in the distress message. The Cospas-Sarsat system is the only satellite distress alerting system that is capable of this dual, redundant means of locating an activated distress beacon.
In statistics, compositional data are quantitative descriptions of the parts of some whole, conveying relative information. Mathematically, compositional data is represented by points on a simplex. Measurements involving probabilities, proportions, percentages, and ppm can all be thought of as compositional data.
There are two main uses of the term calibration in statistics that denote special types of statistical inference problems. Calibration can mean a reverse process to regression, where instead of a future dependent variable being predicted from known explanatory variables, a known observation of the dependent variables is used to predict a corresponding explanatory variable; [1]