Capacitive and inductive crosstalk noises are expected to be more serious in advanced technologies. However, capacitive and inductive crosstalk noises in the future have not been concurrently and sufficiently discussed quantitatively, though capacitive crosstalk noise has been intensively studied solely as a primary factor of interconnect delay variation. This paper quantitatively predicts the ...

b a ckground:   eco-faunistic  studies  are  inevitable  step  in  environmental  researches.  aquatic  organisms  like caddisflies are known as biological indicators for water quality assessment and water resource management. they have special role for energy flow in the freshwater habitats as food web and food chain among aquatic creatures. methods: in addition to an extensive literature revi...

phytoplanktons are the first bio- indicators of pollution in aquatic ecosystems. phytoplankton assemblage and aquatic ecosystems are always influenced by environmental factors therefore these environmental changes and threats must be understood in any ecosystem. phytoplankton are inexpensive and readily available bio- indicators. in the present study, phytoplankton were used to study the sefid ...

Traditional methods including algebra and category theory have some deficiencies in analyzing semantics properties and describing inductive rules of inductive data types, we present a method based on Fibrations theory aiming at those questions above. We systematically analyze some basic logical structures of inductive data types about a fibration such as re-indexing functor, truth functor and c...

We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of inductive databases and to make them suitable for data mining on the grid.

Inductive reasoning is one of the important characteristics of human intelligence. Researchers have regarded inductive reasoning as one of the seven primary mental abilities that are accounted for intelligent behaviours; researches also showed that it is the best predictor for academic performance. Despite its recognised importance underlying the learning process of human beings, little effort ...

Inductive inferences about objects, features, categories, and relations have been studied for many years, but there are few attempts to chart the range of inductive problems that humans are able to solve. We present a taxonomy of inductive problems that helps to clarify the relationships between familiar inductive problems such as generalization, categorization, and identification, and that int...

In this contribution, we summarize the state of the art of the inductive modelling world wide. Recently, there is a trend to utilize evolutionary algorithms for optimization of inductive models. Also some new approaches in feature selection using inductive modelling, model validation, ensembles of inductive models, etc. are to be described.

There are strong parallels between statistics and inductive logic. An inductive logic is a system of inference that describes the relation between propositions on data, and propositions that extend beyond the data, such as predictions over future data, and general conclusions on data. Statistics, on the other hand, is a mathematical discipline that describes procedures for deriving results abou...