GNSS software defined receiver pseudorange error assessment

Author(s):  
Matteo Cutugno ◽  
Umberto Robustelli ◽  
Giovanni Pugliano
Keyword(s):  
2004 ◽  
Vol 6 (3-4) ◽  
pp. 335-358 ◽  
Author(s):  
Maria Valdivieso Da Costa ◽  
Bruno Blanke

Author(s):  
Donald W. Davis ◽  
Scot A. Slimon

Assessments of the effects of several numerical parameters on RANS-based drag prediction accuracy are presented. The parameters include grid cell size adjacent to solid walls, grid stretch ratio, grid stretch transition, artificial dissipation scheme, and artificial dissipation coefficient. Results from extensive parametric studies on a two-dimensional flat plate are reported. Based on the results of these studies, guidelines for high-accuracy drag predictions using both second- and fourth-order accurate, finite-difference-based solvers are proposed. In addition, error assessments obtained with a single grid using second- and fourth-order accurate solutions are compared to multiple-grid Richardson’s extrapolation approaches. The single-grid approach is shown to provide a significant improvement in both accuracy and error assessment relative to the multiple-grid approach.


2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Harrie Lutfie

Hadirnya operator-operator baru baik yang berskala Nasional maupun Internasional bidang Telekomunikasi dan di era persaingan bisnis perusahaan menuntut adanya suatu perubahan rancangan strategi bisnis perusahaan untuk mengantisipasi gejolak lingkungan bisnis perusahaan. Strategi yang digunakan melalui profil manajer, kompetensi manajemen, iklim manajemen, dan kapabilitas manajemen. Oleh karena itu, Perlu dilakukan trial and error assessment profil kapabilitas manajemen perusahaan di divisi tertentu untuk di evaluasi dan dikembangkan ke divisi lainnya


Author(s):  
M. V. Peppa ◽  
J. P. Mills ◽  
P. Moore ◽  
P. E. Miller ◽  
J. E. Chambers

Landslides are hazardous events with often disastrous consequences. Monitoring landslides with observations of high spatio-temporal resolution can help mitigate such hazards. Mini unmanned aerial vehicles (UAVs) complemented by structure-from-motion (SfM) photogrammetry and modern per-pixel image matching algorithms can deliver a time-series of landslide elevation models in an automated and inexpensive way. This research investigates the potential of a mini UAV, equipped with a Panasonic Lumix DMC-LX5 compact camera, to provide surface deformations at acceptable levels of accuracy for landslide assessment. The study adopts a self-calibrating bundle adjustment-SfM pipeline using ground control points (GCPs). It evaluates misalignment biases and unresolved systematic errors that are transferred through the SfM process into the derived elevation models. To cross-validate the research outputs, results are compared to benchmark observations obtained by standard surveying techniques. The data is collected with 6 cm ground sample distance (GSD) and is shown to achieve planimetric and vertical accuracy of a few centimetres at independent check points (ICPs). The co-registration error of the generated elevation models is also examined in areas of stable terrain. Through this error assessment, the study estimates that the vertical sensitivity to real terrain change of the tested landslide is equal to 9 cm.


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