Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200430905> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W4200430905 endingPage "012126" @default.
- W4200430905 startingPage "012126" @default.
- W4200430905 abstract "Abstract Modern trends towards the expansion of online services lead to the need to determine the location of customers, who may also be on a moving object (vessel or aircraft, others vehicle – hereinafter the “Vehicle”). This task is of particular relevance in the fields of medicine – when organizing video conferencing for diagnosis and/or remote rehabilitation, e.g., for post-infarction and post-stroke patients using wireless devices, in education – when organizing distance learning and when taking exams online, etc. For the analysis of statistical materials of the accuracy of determining the location of a moving object, the Gaussian normal distribution is usually used. However, if the histogram of the sample has “heavier tails”, the determination of latitude and longitude’s error according to Gaussian function is not correct and requires an alternative approach. To describe the random errors of navigation measurements, mixed laws of a probability distribution of two types can be used: the first type is the generalized Cauchy distribution, the second type is the Pearson distribution, type VII. This paper has shown that it’s possible obtaining the decomposition of the error distribution density using orthogonal Hermite polynomials, without having its analytical expression. Our numerical results show that the approximation of the distribution function using the Gram-Charlier series of type A makes it possible to apply the orthogonal decomposition to describe the density of errors in navigation measurements. To compare the curves of density and its orthogonal decomposition, the density values were calculated. The research results showed that the normalized density and its orthogonal decomposition practically coincide." @default.
- W4200430905 created "2021-12-31" @default.
- W4200430905 creator A5019531490 @default.
- W4200430905 creator A5063751381 @default.
- W4200430905 creator A5067363936 @default.
- W4200430905 creator A5068773384 @default.
- W4200430905 date "2021-11-01" @default.
- W4200430905 modified "2023-09-30" @default.
- W4200430905 title "Analysis of the error distribution density convergence with its orthogonal decomposition in navigation measurements" @default.
- W4200430905 cites W1988720691 @default.
- W4200430905 cites W2020247013 @default.
- W4200430905 cites W2601436865 @default.
- W4200430905 cites W3024083982 @default.
- W4200430905 cites W3032447199 @default.
- W4200430905 cites W3173712433 @default.
- W4200430905 doi "https://doi.org/10.1088/1742-6596/2090/1/012126" @default.
- W4200430905 hasPublicationYear "2021" @default.
- W4200430905 type Work @default.
- W4200430905 citedByCount "1" @default.
- W4200430905 countsByYear W42004309052022 @default.
- W4200430905 crossrefType "journal-article" @default.
- W4200430905 hasAuthorship W4200430905A5019531490 @default.
- W4200430905 hasAuthorship W4200430905A5063751381 @default.
- W4200430905 hasAuthorship W4200430905A5067363936 @default.
- W4200430905 hasAuthorship W4200430905A5068773384 @default.
- W4200430905 hasBestOaLocation W42004309051 @default.
- W4200430905 hasConcept C105795698 @default.
- W4200430905 hasConcept C11413529 @default.
- W4200430905 hasConcept C115961682 @default.
- W4200430905 hasConcept C121332964 @default.
- W4200430905 hasConcept C134306372 @default.
- W4200430905 hasConcept C154945302 @default.
- W4200430905 hasConcept C163716315 @default.
- W4200430905 hasConcept C197055811 @default.
- W4200430905 hasConcept C201362023 @default.
- W4200430905 hasConcept C28826006 @default.
- W4200430905 hasConcept C33923547 @default.
- W4200430905 hasConcept C41008148 @default.
- W4200430905 hasConcept C49344536 @default.
- W4200430905 hasConcept C53533937 @default.
- W4200430905 hasConcept C62520636 @default.
- W4200430905 hasConceptScore W4200430905C105795698 @default.
- W4200430905 hasConceptScore W4200430905C11413529 @default.
- W4200430905 hasConceptScore W4200430905C115961682 @default.
- W4200430905 hasConceptScore W4200430905C121332964 @default.
- W4200430905 hasConceptScore W4200430905C134306372 @default.
- W4200430905 hasConceptScore W4200430905C154945302 @default.
- W4200430905 hasConceptScore W4200430905C163716315 @default.
- W4200430905 hasConceptScore W4200430905C197055811 @default.
- W4200430905 hasConceptScore W4200430905C201362023 @default.
- W4200430905 hasConceptScore W4200430905C28826006 @default.
- W4200430905 hasConceptScore W4200430905C33923547 @default.
- W4200430905 hasConceptScore W4200430905C41008148 @default.
- W4200430905 hasConceptScore W4200430905C49344536 @default.
- W4200430905 hasConceptScore W4200430905C53533937 @default.
- W4200430905 hasConceptScore W4200430905C62520636 @default.
- W4200430905 hasIssue "1" @default.
- W4200430905 hasLocation W42004309051 @default.
- W4200430905 hasOpenAccess W4200430905 @default.
- W4200430905 hasPrimaryLocation W42004309051 @default.
- W4200430905 hasRelatedWork W2007478151 @default.
- W4200430905 hasRelatedWork W2075507855 @default.
- W4200430905 hasRelatedWork W2116225090 @default.
- W4200430905 hasRelatedWork W2359525189 @default.
- W4200430905 hasRelatedWork W2791142344 @default.
- W4200430905 hasRelatedWork W2908321071 @default.
- W4200430905 hasRelatedWork W2950544596 @default.
- W4200430905 hasRelatedWork W3020674464 @default.
- W4200430905 hasRelatedWork W3131275255 @default.
- W4200430905 hasRelatedWork W4298226543 @default.
- W4200430905 hasVolume "2090" @default.
- W4200430905 isParatext "false" @default.
- W4200430905 isRetracted "false" @default.
- W4200430905 workType "article" @default.