RDF is one of the cornerstones of the Semantic Web. It can be considered as a knowledge representation common language based on a graph model. In the functional programming community, inductive graphs have been proposed as a purely functional representation of graphs, which makes reasoning and concurrent programming simpler. In this paper, we propose a simplified representation of inductive gra...

In this paper, we consider the problem of searching nondominated alternatives in a discrete multiple criteria problem. The search procedure is based on the use of a reference direction. A reference direction reflects the desire of the decision maker (DM) to specify a search direction. To find a set of given alternatives related somehow to the reference direction specified by the DM, the referen...

Multiple coupled circuit modeling (MCCM) of squirrel-cage induction motors (SCIMs), or winding function approach is the most detailed and complete analytical model used to analyze the performance of faulty SCIMs. Already, in variate papers this approach was used to 3phases SCIMs, but this paper extends the above-mentioned model to 6phases SCIMs. Various simulations of variative faults are carri...

In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented for distribution system reconfiguration. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. In order to illustrate the performance of the proposed method,...

800x600 unfortunately, at present, degenerative retinal diseases such as retinitis pigmentosa remains untreatable. patients with these conditions suffer progressive visual decline resulting from continuing loss of photoreceptor cells and outer nuclear layers. however, stem cell therapy is a promising approach to restore visual function in eyes with degenerative retinal diseases such as retiniti...

there are many real problems in which multiple responses should be optimized simultaneously by setting of process variables. one of the common approaches for optimization of multi-response problems is desirability function. in most real cases, there is a correlation structure between responses so ignoring the correlation may lead to mistake results. hence, in this paper a robust approach based ...

Relevance learning in learning vector quantization is a central paradigm for classi cation task depending feature weighting and selection. We propose a functional approach to relevance learning for highdimensional functional data. For this purpose we compose the relevance pro le by a superposition of only a few parametrized basis functions taking into account the functional character of the dat...

circuits are used for formalizing regular hardware structures which can ] be expressed by means of primitive recursion. In general, . . . . . . . regular circuit structures lead to regular signal structures. If for example, a structure is described, that con~ ~ sists of n combinational circuits connected in parallel, then it would be appropriate to use the type list for : grouping together the ...

This paper deals with the fundamental problem of estimating the distribution function (df) of the duration of the longest path in the stochastic activity network such as PERT network. First a technique is introduced to reduce variance in Conditional Monte Carlo Sampling (CMCS). Second, based on this technique a new procedure is developed for CMCS. Third, a combined approach of simulation and ap...