Theoretical calculations that determine the stability of the knife holder milling tool on a support sliding in the process of operation

In this regard at department of woodworking machines and tools the mill which has an opportunity to change the angles of cutting and an axial corner at the same time is designed and made. It will allow to reduce power by cutting, to increase quality of the processed sur-face and to increase the period of firmness of the tool.На кафедре деревообрабатывающих станков и инструментов спроектирована и изготовлена фреза, у которой есть возможность изменять углы резания и осевой угол одновременно. Это позволит уменьшить мощность на резание, повысить качество обработанной поверхности и увеличить период стойкости инструмента

Evidence Propagation and Consensus Formation in Noisy Environments

We study the effectiveness of consensus formation in multi-agent systems where there is both belief updating based on direct evidence and also belief combination between agents. In particular, we consider the scenario in which a population of agents collaborate on the best-of-n problem where the aim is to reach a consensus about which is the best (alternatively, true) state from amongst a set of states, each with a different quality value (or level of evidence). Agents' beliefs are represented within Dempster-Shafer theory by mass functions and we investigate the macro-level properties of four well-known belief combination operators for this multi-agent consensus formation problem: Dempster's rule, Yager's rule, Dubois & Prade's operator and the averaging operator. The convergence properties of the operators are considered and simulation experiments are conducted for different evidence rates and noise levels. Results show that a combination of updating on direct evidence and belief combination between agents results in better consensus to the best state than does evidence updating alone. We also find that in this framework the operators are robust to noise. Broadly, Yager's rule is shown to be the better operator under various parameter values, i.e. convergence to the best state, robustness to noise, and scalability.Comment: 13th international conference on Scalable Uncertainty Managemen