SCARAB is a quasi-deterministic tool, modeling a re-entry object down to sub-system level.
The application of SCARAB (spacecraft atmospheric re-entry and aerothermal break-up) to several re-entry objects within the last years has shown the need of fast methods and easy-to use guidelines for a first assessment of the survival probability for these objects or parts of them.
The states seem to have different objects; but neither of these objects exist (see the entry nonexistent-objects).
In the learning phase, SVM uses the training data to come up with margins to separate classes as shown in Fig. 4. A new entry or object is then classified based on these margins and the compatibility or distance between the object and the class [50, 51].
During a meteoroid entry, the object breaks up suddenly because of the increasingly large air pressure.
During the entry of objects into water, several fluid dynamics phenomena, such as air and vapor cavities and jet formation, occur that contribute to the bouncing behavior of the body.
Unlike earlier evoked components, it was modulated by the features representational role, indicating that it is the earliest evoked locus of feature-driven mnemonic effects in entry-level object recognition.
(For more on reference to non-existent objects, see the entry on nonexistent objects).
(For a more complete discussion of Meinong's theory of nonexistent objects, see the entry on nonexistent objects).
About 340,000 comprehensive entries for objects are included on the revamped site, 200,000 of which have been created over the last nine months.
One may pose here an interesting question about the correlation between Fregean logical objects and abstract objects in the modern sense (see the entry on abstract objects).
