scholarly journals THE SYSTEM OF AUTOMATED FORMATION OF ELECTRICAL MACHINES COMPUTATIONAL MODELS FOR THE FEMM SOFTWARE ENVIRONMENT

2018 ◽  
Vol 2018 (4) ◽  
pp. 74-78 ◽  
Author(s):  
V.I. Milykh ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110378
Author(s):  
Albert Doja ◽  
Laurent Capocchi ◽  
Jean-François Santucci

The ambition and proposal for data modeling of myths presented in this paper is to link contemporary technical affordances to some canonical projects developed in structural anthropology. To articulate the theoretical promise and innovation of this proposal, we present a discrete-event system specification modeling and simulation approach in order to perform a generative analysis and a dynamic visualization of selected narratives, aimed at validating and revitalizing the transformational and morphodynamic theory and methodology proposed by Claude Lévi-Strauss in his structural analysis of myth. After an analysis of Lévi-Strauss’s transformational methodology, we describe in detail how discrete-event system specification models are implemented and developed in the framework of a DEVSimPy software environment. The validation of the method involves a discrete-event system specification simulation based on the extension of discrete-event system specification models dedicated to provide a dynamic Google Earth visualization of the selected myth. Future work around the discrete-event system specification formalism in anthropology is described as well as future applications regarding the impact of computational models (discrete-event system specification formalism, Bayesian inferences, and object-oriented features) to new contemporary anthropological domains.


1994 ◽  
Vol 4 (1) ◽  
pp. 19-45 ◽  
Author(s):  
John A. Keane

AbstractThe Flagship Project1 was a research collaboration between the University of Manchester, Imperial College London and International Computers Ltd. The project was unusual in that it aimed to produce a complete computing system based on a declarative programming style. Three areas of a declarative system were addressed: (1) programming languages and programming environments; (2) the machine architecture and computational models; and (3) the software environment. This overview paper discusses each of these areas, the intention being to present the project as a coherent whole.


2014 ◽  
Vol 792 ◽  
pp. 367-372
Author(s):  
Charalampos Patsios ◽  
Minos E. Beniakar ◽  
Antonios G. Kladas ◽  
John Prousalidis

In this paper a parametric design procedure of electrical machines used in naval propulsion systems is developed. The algorithm uses a series of design characteristics i.e. the type of the machine, the winding configuration and key geometrical properties, as parameters and is implemented on MATLAB® script allowing for a straightforward incorporation with other development tools. Using the proposed algorithm, two of the most common machine configurations involved in marine electrical propulsion systems i.e. the Induction Motor and the Synchronous Permanent Magnet Motor, are designed and 2D finite element modeling and analysis is performed. MATLAB® is used to interact with the FEMM software package through ActiveX framework, allowing for a detailed calculation of the electromagnetic properties of the machines examined.


Author(s):  
Kim Uittenhove ◽  
Patrick Lemaire

In two experiments, we tested the hypothesis that strategy performance on a given trial is influenced by the difficulty of the strategy executed on the immediately preceding trial, an effect that we call strategy sequential difficulty effect. Participants’ task was to provide approximate sums to two-digit addition problems by using cued rounding strategies. Results showed that performance was poorer after a difficult strategy than after an easy strategy. Our results have important theoretical and empirical implications for computational models of strategy choices and for furthering our understanding of strategic variations in arithmetic as well as in human cognition in general.


Author(s):  
Manuel Perea ◽  
Victoria Panadero

The vast majority of neural and computational models of visual-word recognition assume that lexical access is achieved via the activation of abstract letter identities. Thus, a word’s overall shape should play no role in this process. In the present lexical decision experiment, we compared word-like pseudowords like viotín (same shape as its base word: violín) vs. viocín (different shape) in mature (college-aged skilled readers), immature (normally reading children), and immature/impaired (young readers with developmental dyslexia) word-recognition systems. Results revealed similar response times (and error rates) to consistent-shape and inconsistent-shape pseudowords for both adult skilled readers and normally reading children – this is consistent with current models of visual-word recognition. In contrast, young readers with developmental dyslexia made significantly more errors to viotín-like pseudowords than to viocín-like pseudowords. Thus, unlike normally reading children, young readers with developmental dyslexia are sensitive to a word’s visual cues, presumably because of poor letter representations.


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