Tutanchamuns Ruder. Über die Bewegungskraft der Materie im Alten Ägypten

This article outlines a theory of the ancient Egyptian tomb as a material vessel of the pharao’s afterlife. With closed cavities, openings, and deliberately chosen contents, the tombs were highly ingenious, multi-layered models intended to explore the unknown: what happens after death. A close look at eleven types of steering oars discovered in the burial chamber of Tut.Ankh.Amen’s tomb identifies them as intermediate objects that connect the funerary texts inscribed on the pharaoh’s golden shrines and the realm of material things, illuminating ancient Egyptian expectations of the afterlife.

SOLVING OF THE INVERSION PROBLEM OF THE METHOD MULTICHANNEL ANALYSIS OF SURFACE WAVES BASED ON THE ARTIFICIAL NEURAL NETWORK

The study is devoted to improving the efficiency of the method of multichannel analysis of surface waves due to the implementation of a new algorithm for the selection of 1D-models of the shear wave velocity by inverse dispersion curves based on machine learning. It is proposed to use a multilayer fully-connected artificial neural network (ANN) for the estimate of horizontally layered models composed of interpolated velocity values on a uniform grid with an arbitrary step. Various types of correlation dependence of the parameters of the velocity model on dispersion curves were investigated. The optimal type of the objective function was determined for ANN learning on the basis of these studies. The advantages of using a trained ANN for the problem of inversion dispersion curves are: the ability to estimate layered models with sufficient accuracy for their use at subsequent stages of seismic data processing, resistance to noise, no significant requirements for computational resources and the absence of the need for additional adjustment of parameters. The tests of the trained ANN, with the architecture proposed in this study, show high accuracy in validation (about 96%), which indicates the success of training and the actually perspective of using neural networks for inversion problems.

Internetworking and Layered Models

The Internet today is a boundless data framework; however it is naturally an uncertain channel for sending messages. At the point when a message (or parcel) is sent starting with one Website then onto the next, the information contained in the message are steered through various moderate locales previously achieving its goal. The Internet was intended to oblige heterogeneous stages so individuals who are utilizing distinctive PCs and working frameworks can convey. The historical backdrop of the Internet is mind boggling and includes numerous perspectives – innovative, authoritative and network. The Internet idea has been a major advance along the way towards electronic trade, data obtaining and network tasks.