As the aviation industry moves from paper maps and charts to the digital cockpit and electronic flight bag, producers of these products need current and accurate data to ensure flight safety.FAA (Federal Dog-Leashes Aviation Administration) and ICAO (International Civil Aviation Organization) require certified suppliers to follow a defined protocol
Modeling Parameters of Reliability of Technological Processes of Hydrocarbon Pipeline Transportation
On the basis of methods of system analysis and parametric reliability theory, the mathematical modeling of processes of oil and gas equipment Tanks/Jerseys operation in reliability monitoring was conducted according to dispatching data.To check the quality of empiric distribution coordination , an algorithm and mathematical methods of analysis are
COMPUTATIONAL MODELING AND SIMULATION IN BIOLOGY TEACHING: A MINIMALLY EXPLORED FIELD OF STUDY WITH A LOT OF POTENTIAL
This study is part of a research project that aims to characterize the epistemological, psychological and didactic presuppositions of science teachers (Biology, Physics, Chemistry) that implement Computational Modeling and Simulation (CMS) activities as Lab Coats a part of their teaching practice.We present here a synthesis of a literature review o
Genetic interaction network of the Saccharomyces cerevisiae type 1 phosphatase Glc7
Abstract Background Protein kinases and phosphatases regulate protein phosphorylation, a critical means of modulating protein function, stability and localization.The identification of functional networks for protein phosphatases has been slow due to their redundant nature and the lack of large-scale analyses.We hypothesized that a genome-scale ana
DGFlow-SLAM: A Novel Dynamic Environment RGB-D SLAM without Prior Semantic Knowledge Based on Grid Segmentation of Scene Flow
Currently, using semantic segmentation networks to distinguish dynamic and static key points has become a mainstream designing method for semantic SLAM systems.However, the semantic SLAM systems must have prior semantic knowledge of relevant dynamic objects, and their processing speed is inversely proportional to the recognition accuracy.To simulta