The object of the study is decision support systems. A methodology for evaluating information and analytical in systems was developed. method consists main stages: assessment type uncertainty about state analysis object, calculation criteria determination development options, system reaction time, formation initial scenario. next steps are establishing target analyzing options influencing obtai...

The article considers the method of analytical accounting and classification film copies in fund long-term storage on example "Yenisei Kino". authors propose to organize an by types films accordance with their classification. is carried out characteristics according constant variable attributes. attributes a copy are color format which was made, original length film, type title etc. Variable in...

This paper describes a novel analytical methodology for modelling winding copper losses as result of circulating currents (CC) in permanent magnet synchronous machines (PMSM). CCs are important to be considered at an early design stage especially high frequency and performance where sub-optimal choices can lead significant alternating current (AC) losses. Nowadays mainly FEM method is used prec...

A two-day technical workshop was convened November 10-11, 1986, to discuss analytical approaches for determining trace amounts of cotinine in human body fluids resulting from passive exposure to environmental tobacco smoke (ETS). The workshop, jointly sponsored by the U.S. Environmental Protection Agency and Centers for Disease Control, was attended by scientists with expertise in cotinine anal...

This paper stands for an analytical approach modelling and exploring an evolutive usual-space. The space that we consider is intended to emerge heterogeneous evolutive business-agents (e.g. Factories, Hospitals, Sport-Centres, etc.). The space stimulates an analytical multi-layered structure where agents have multiple-states based on analytical characteristics (analytical dimensions), they are ...

Modern computers and computing techniques allow for the rapid processing of data and permit the development of real-time fault detection and isolation (FDI) tools. For nuclear power plants, these tools are designed to aid the operator by first detecting and then isolating system faults. This paper introduces an original methodology for FDI merging analytical redundancy and neural network techni...

A fully automatic macromodeling methodology to generate scalable reduced-order models for microelectromechanical systems is presented in this paper. Krylov subspace methods are used to generate reduced-order models from detailed higher-order models of the device under consideration. The entire methodology is implemented in a symbolic computation environment to preserve dependencies on physical ...