The essence of modern national security refers to actions aimed at guaranteeing the survival of a nation in the stable territorial state borders as well as its comprehensive and undisturbed development. In the light of the presented evolution of the term “national security” and the essence of the process of providing this security, the article presents a new approach to the strategic basis for this process. The selected issues of the process of providing national security discussed in the article may serve as a basis for improving the rationality of public administration efforts to ensure existential and behavioral needs of the society.
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The article presents a short characteristics of main (world) international situation monitoring and analysis centres (sore points and military conflicts including) and also exemplary scenarios of developing political military situation prepared by Rand Corporation with a detailed discussion of conclusions resulting from the scenario concerning the situation in Poland. On the background of these considerations, a concrete method of military conflicts qualitative evaluation worked out by Trevor Nevett Dupuy has been presented. The author’s original approach towards defining the relation of military parties potentials has been pointed out and on this basis showing a theoretical winner. Applying such an approach to a retrospective analysis of military conflicts and wars (with the lack of significant divergencies) gives an opportunity to apply the presented method in prognostic research, however, taking into consideration some limitations.
The paper reports the results of artificial neural network modelling of vibration in a milling process of magnesium alloy AZ91D by a TiAlN-coated carbide tool. Vibrations in machining processes are regarded as an additional, absolute machinability index. The modelling was performed using the so-called “black box” model. The best fit was determined for the input and output data obtained from the machining process. The simulations were performed by the Statistica software using two types of neural networks: RBF (Radial Basis Function) and MLP (Multi-Layered Perceptron).
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