scholarly journals Overview of Primitive Object Volatile Explorer (PrOVE) CubeSat or Smallsat concept

Author(s):  
Tilak Hewagama ◽  
James M. Bauer ◽  
Kyle Hughes ◽  
Donald Jennings ◽  
Kevin Brown ◽  
...  
Keyword(s):  
1986 ◽  
Vol 108 (2) ◽  
pp. 113-119 ◽  
Author(s):  
M. C. Leu ◽  
S. H. Park ◽  
K. K. Wang

This paper presents a method for representing the geometries of translational swept volumes of three-dimensional objects which can be constructed by the union of three types of primitive objects: blocks, cylinders, and spheres. The representation method involves three major steps. First, the swept volume of each primitive object is modeled by a boundary representation. Second, based on ray-casting and scan-rendering methods, the boundary representation is converted into a ray in–out classification, which represents the rays entering and exiting from the primitive swept volume. Third, the ray in–out classifications for various primitive swept volumes are combined to represent the swept volume of an object constructed from the primitive objects. Examples are given to illustrate how swept-volume representations can be useful in the context of off-line NC and robot program verifications.


Author(s):  
Marion Cottingham

This chapter introduces the Isoluminance Contour Model, which not only provides a quick and easy method for generating images, but also dramatically reduces the amount of work required by traditional computer graphics methods. It starts with the history of the model from its conception in 1981: it was used to generate flat-shaded greyscale, simple, primitive objects such as cubes, cylinders, cones, and spheres, by generating full-color smooth-shaded images for animated sequences. The model compares the degree of realism and the speed of production it generates with that achieved by using smooth shading and ray-tracing methods. It ultimately describes how the amount of data used by the Isoluminance Contour Model can be adapted dynamically to suit the screen size of the primitive object being generated, making real-time 4-dimensional animated visualization feasible on a Pentium 400 (or equivalent) or faster PC.


2019 ◽  
pp. 107-146
Author(s):  
Brandon M. Schechter

This chapter assesses the destroyed landscape of war and the cities of earth that soldiers built to survive, crafting a semi-urban space using standard issue spades and attempting to recreate aspects of civilian life. During the Great Patriotic War, survival at the front was virtually impossible without the help of an ancient hand tool: the spade. Indeed, the idea of the spade as a loyal friend became a major trope of military propaganda. That such a humble object received so much attention is telling. The spade was the key to soldiers' reading, shaping, and using the landscape. The soldier's small spade was an anonymous object, standard to everyone, and manuals taught soldiers to dig trenches according to a regular plan, yet Red Army soldiers excavated highly personalized spaces. Ultimately, the small, relatively primitive object and the labor it facilitated were central to the experience of millions of people in one of the most technologically advanced conflicts in world history.


2014 ◽  
Vol 05 (13) ◽  
pp. 1561-1570
Author(s):  
Konstantinos Topouzelis ◽  
Dimitra Kitsiou
Keyword(s):  
Sar Data ◽  

2004 ◽  
Vol 22 ◽  
pp. 23-56 ◽  
Author(s):  
D. Dubois ◽  
H. Fargier ◽  
H. Prade

An accepted belief is a proposition considered likely enough by an agent, to be inferred from as if it were true. This paper bridges the gap between probabilistic and logical representations of accepted beliefs. To this end, natural properties of relations on propositions, describing relative strength of belief are augmented with some conditions ensuring that accepted beliefs form a deductively closed set. This requirement turns out to be very restrictive. In particular, it is shown that the sets of accepted belief of an agent can always be derived from a family of possibility rankings of states. An agent accepts a proposition in a given context if this proposition is considered more possible than its negation in this context, for all possibility rankings in the family. These results are closely connected to the non-monotonic 'preferential' inference system of Kraus, Lehmann and Magidor and the so-called plausibility functions of Friedman and Halpern. The extent to which probability theory is compatible with acceptance relations is laid bare. A solution to the lottery paradox, which is considered as a major impediment to the use of non-monotonic inference is proposed using a special kind of probabilities (called lexicographic, or big-stepped). The setting of acceptance relations also proposes another way of approaching the theory of belief change after the works of Gärdenfors and colleagues. Our view considers the acceptance relation as a primitive object from which belief sets are derived in various contexts.


Author(s):  
M. A. Ganter

Abstract A modification of the B-Rep data structure is proposed which would allow tracking of both a given face’s geometric type and primitive generating object during the solid modeling process. A technique termed primitive object tracking is presented which would allow object decomposition (feature extraction) based on this additional data. Existing feature extraction techniques are augmented by the application of the object decomposition technique for the recognition and extraction of various feature types; internal voids, single and multi-surfaced holes, and boundary perturbations. Lastly, a brief discussion is presented of required modification and their implications to B-Rep solid modeling to implement and use primitive object tacking techniques.


2020 ◽  
Author(s):  
Jae‐Pyung Hwang ◽  
Gangrae Park ◽  
Il Hong Suh ◽  
Taesoo Kwon

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