A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Geometric constraints are imperative components of many dynamic simulation systems to effectively control the behavior of simulated objects. In this paper we present an improved fi...
Security defense tools like firewalls and antivirus softwares are not sufficient to defend against dynamic threats to database systems. Successful attacks could not only seriously ...
Communicationin aparallel systemfrequently involvesmoving data from the memory of one node to the memory of another; this is the standard communication model employedin message pa...
ctural abstractions that were introduced in [17]. Compared with other symmetry-breaking techniques, the big advantage of dynamic symmetry breaking is that it can accommodate dynami...
Daniel S. Heller, Aurojit Panda, Meinolf Sellmann,...