The present paper introduces ad hoc communication networks as examples of large scale real networks that can be prospected by statistical means. A description of giant cluster formation based on a single parameter of node neighbor numbers is given along with the discussion of some asymptotic aspects of giant cluster sizes.
We propose a bounded incremental algorithm to generate test cases for deterministic finite state machine models. Our approach, in contrast to the traditional view, is based on the observation that system specifications are in most cases modified incrementally in practice as requirements evolve. We utilize an existing test set available for a previous version of the system to efficiently generate tests for the current -modified -system.We use a widely accepted framework to evaluate the complexity of the proposed incremental algorithm, and show that it is a function of the size of the change in the specification rather than the size of the specification itself. Thus, the method is very efficient in the case of small changes, and never performs worse than the relevant traditional algorithm -the HIS-method. We also demonstrate our algorithm through an example.
Superflexible robot programming reduces the profitable batch sizes of industrial robots. The paper presents a new way to determine the trajectory for welding robots based on the Intelligent Space concept. The system uses two cameras and edge detection with other image processing algorithms to find the welding path in the image. The three dimensional trajectory is obtained by stereo vision; afterwards it is transformed to the actual robot language.
A centralized rate-adaptive routing algorithm is presented that, in contrast to the distributed ones available in the literature, achieves provable stability, optimalilty with respect to optional linear or quadratic objective functions, and feasibility in that it can accommodate any admissible traffic matrix in the network without violating link capacities. We recast the routing problem in the framework of constrained optimal control theory to obtain optimal state feedback routing controllers, and we present simulations confirming that our routing controllers are viable in small-and middle-sized networks.
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