In this work a new solution to the hard problem of consciousness using multidimensional approach [1-3] is proposed. It is shown that our perceptions may be interpreted as elastic oscillations of a two dimensional membrane with closed topology embedded in our brains. According to the model our universe is also a three dimensional elastic membrane embedded into the higher dimensional space-time. ...

In this paper, we present an immersed boundarymethod for modeling a contractile elastic ring in a three-dimensional Newtonian fluid. The governing equations are themodified Navier–Stokes equations with an elastic force from the contractile ring. The length of the elastic ring is time dependent and the ring shrinks with time because of its elastic nature in our proposed model. We dynamically red...

This paper presents a method to model the deformation of an elastic object with an artificial neural network. The neural network is trained directly from images of the elastic object deforming under known loads. Using this process, models can be created for objects such as biological tissues that cannot be modeled by existing techniques. The neural network elastic model is used in conjunction w...

A vehicle body, two bogie frames and two wheelsets for each bogie frame are used to describe the railway vehicle model. The system dynamic is modeled using a 38-DOF system including the longitudinal, lateral, vertical, roll, pitch and yaw displacements. A heuristic nonlinear creep model and the elastic rail are used to simulate the wheel-rail contact. Stable movement and the corresponding limit...

In this paper, we show that the lexical function model for composition of distributional semantic vectors can be improved by adopting a more advanced regression technique. We use the pathwise coordinate-descent optimized elastic-net regression method to estimate the composition parameters, and compare the resulting model with several recent alternative approaches in the task of composing simple...

When we control a flexible manipulator based on a dynamic model, we need to estimate the state variables with accuracy. In the case of rigid manipulators, the state variables consist of joint angles and their velocities, which are measured easily by encoders, potentiometers, tachometers, and so on. In the case of flexible manipulators, however, the state variables also include elastic deformati...

The paper addresses a problem of partial fracture of a lattice by a propagating fault modelling a crack bridged by elastic fibres. It is assumed that the strength of bonds within the lattice alternates periodically, so that during the dynamic crack propagation only weaker bonds break, whereas the stronger bonds remain intact. The mathematical problem is reduced to the functional equation of the...

Introduction: Due to limitations of current treatments for degenerative disc disease, arthroplastic methods to repair the diseased disc have been proposed. The artificial disc is a mobile implant for degenerative disc replacement that attempts to lessen the degeneration of the adjacent elements following interbody fusion procedures. Because the success of artificial disc replacement depends on ...

Elastic scattering of a projectile, composed of three clusters, from a spherical target is analysed using a four-body adiabatic model. The model is a generalisation of the three-body adiabatic model of Johnson and Soper. Calculations of the elastic scattering of 11Li from 12C are compared to both experimental data and the results of recent four-body eikonal model calculations. PACS numbers: 24....

We extend previous work on efficiently training linear models by applying stochastic updates to non-zero features only, lazily bringing weights current as needed. To date, only the closed form updates for the l1, l∞, and the rarely used l2 norm have been described. We extend this work by showing the proper closed form updates for the popular l22 and elastic net regularized models. We show a dyn...