In the current paper, consider the fuzzy normed linear space $(X,N)$ which is defined by Bag and Samanta. First, we construct a new fuzzy topology on this space and show that these spaces are Hausdorff locally convex fuzzy topological vector space. Some necessary and sufficient conditions are established to illustrate that the presented fuzzy topology is equivalent to two previously studied fuz...

The purpose of the present work is to introduce the concept of bifuzzy core of a fuzzy automaton, which induces a bifuzzy topology on the state-set of this fuzzy automaton. This is shown that this bifuzzy topology can be used to characterize the concepts such as bifuzzy family of submachines, bifuzzy separable family and bifuzzy retrievable family of a fuzzy automaton.

This case report describes a patient with a dysembryogenic neuroepithelial tumor localized in the posterior thalamus and internal capsule, which presented with psychosis including religiously determined severe self-mutilation, auditory hallucinations, and rituals. The patient's history includes periodic religiousness over decades of her life suggesting that spirituality in this case might be a ...

In this paper we propose a topology for continuous time Σ∆ modulators. Unlike the modulators presented until now, they exhibit no peaking in their signal transfer function. Instead it achieves a ‘flat’ STF with the desired anti-aliasing properties and with small internal nodes signal levels. Now, a simple filter, e.g. a first-order low-pass filter can precede the modulator to prevent out of ban...

The objective of this paper is to present the modeling and analysis of a 1.7 Mva SMES-based voltage sag corrector devices. The topology of the SMES-based system and its response to an upstream fault are described. This paper details various modeling aspects of the device including methods to generate a triangular signal and an internal reference voltage. Models to characterize the harmonic cont...

Clustering algorithms detect groups of similar population members, like customers, news or genes. In many clustering applications the observed population evolves and changes, subject to internal and external factors. Detecting and understanding change is important for decision support. We extend our earlier framework MONIC for cluster transition modeling and detection, into MONIC for cluster-ty...

The paper presents various evolved neurocontrollers for the pole-balancing problem with good benchmark performance. They are small neural networks with recurrent connectivity. The applied evolutionary algorithm, which is not based on genetic algorithms, was designed to evolve neural networks with arbitrary connectivity. It uses no quantization of inputs, outputs or internal parameters, and sets...

The paper presents various evolved neurocontrollers for the pole-balancing problem with good benchmark performance. They are small neural networks with recurrent connectivity. The applied evolutionary algorithm, which is not based on genetic algorithms, was designed to evolve neural networks with arbitrary connectivity. It uses no quantiza-tion of inputs, outputs or internal parameters, and set...

As the densities of current FPGA continue to grow it is now possible to generate System-On-a-Chip (SoC) designs where multiple computing cores are connected to various memory modules with customized topology with application specific memory access patterns. For example, Xilinx has recently introduced devices to which a paired down version of a PowerPC core can be mapped and connected to a set o...