From the perspective of computer science, handling and analyzing extensive data sets has many applications and various methods are in use.
A real-time framework, which is currently under development with strong support of the worldwide fusion community will not only support the implementation of plasma control strategies with the extensive exception handling and forecasting functionality foreseen for ITER, but also integrated commissioning, orchestration and supervision as well as the real-time needs of ITER plant system developers.
The propulsion system selected for the "Ludion" was based on the British extensive experience in handling and using isopropyl nitrate as a way of obtaining large amounts of gas able to drive jet engines at start.
There was broad opinion that handling and decision-making skills develop after around 250 350 colonoscopies, with further development after an extensive period of independent practice.
Given the easy handling characteristics and extensive application potential, the results suggest that Eu-MSNs could be used as immunity-modulated osteogenesis/angiogenesis agent for skin and bone regeneration.
20 We used paper-based methods in the initial stages, and nVivo 7 was then used for storage and handling the extensive dataset.
LiDAR techniques involve large amounts of data handling and require extensive field data for calibration, which create both a financial and time burden.
Our combined approach is compared to three types of RSN integration architectures and the results show that our architecture and courier selection approaches perform substantially better than other architectures in terms of minimizing delay, cost, packet loss, and in handling extensive traffic demands.
However, the observed performance does not imply any fixed technical constraint; the approach may also be capable of handling more extensive datasets (i.e. that it might also be deployed if individual tests consisted of more MCQ items, or if more candidates were attending each test date).
While recent advancements in using sophisticated onboard sensors on robotic platforms have made it possible to consign various tasks like exploration, mapping, and flocking to teams of mobile robots, some issues like handling extensive amount of data, high dependency on sensors' performance, and high expenses emerge.
