computational detail
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2019 ◽  
Vol 29 ◽  
pp. 42-44 ◽  
Author(s):  
Seth Dominicus Thorn

This article provides an overview of a real-time, hybrid computational system for the violin, Windowless. The system uses a custom sensor glove, the alto.glove, to track the violinist’s movements and drive a panoply of unique digital sound processing effects. The author describes the operations of the system in terms of a broad notion of synthesis, consis-tency, microintervallic motions and molecular operations. A threefold approach combining dense sonic physics, “loose” computational procedures and high system responsiveness creates a rich and thick performative medium with a vapor-like, particulate level of textural and bitwise computational detail.


2014 ◽  
Vol 369 (1644) ◽  
pp. 20130414 ◽  
Author(s):  
Michael Arbib ◽  
Varsha Ganesh ◽  
Brad Gasser

The paper introduces dyadic brain modelling, offering both a framework for modelling the brains of interacting agents and a general framework for simulating and visualizing the interactions generated when the brains (and the two bodies) are each coded up in computational detail. It models selected neural mechanisms in ape brains supportive of social interactions, including putative mirror neuron systems inspired by macaque neurophysiology but augmented by increased access to proprioceptive state. Simulation results for a reduced version of the model show ritualized gesture emerging from interactions between a simulated child and mother ape.


1960 ◽  
Vol 64 (594) ◽  
pp. 354-357 ◽  
Author(s):  
Alex L. M. Grzedzielski

The Matrix Force Method is frequently used in the stress analysis of complicated aircraft structures. It assumes as unknown quantities, or redundancies, groups of internal loads, and yields stresses and displacements in terms of a set of unit loads. Lately, this method has been extended to include effects of uneven temperature distribution. With large structures, the method is most effective with high speed digital techniques which allow considerable computational detail to be stored in the computer memory. Theoretically, the method is based on the Castigliano theorem of least work, equivalent formulations being possible. Hence the method is applicable to elastic problems of the first order only, i.e. strains infinitesimal, structural distortions not affecting equilibrium conditions markedly.


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