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Approach to solving mining machine selection problem by using grey theory

Milisavljevic V., Martinetti A., Cvjetic A.

Mining – Informatics, Automation and Electrical Engineering

2018

R. 56, nr 3

59--64

The selection of a mining machine is a multiple-attribute problem that involves the consideration of numerous parameters of various origins. A common task in the mining industry is to select the best machine among several alternatives, which are frequently described both with numerical variables as well as linguistic variables. Numerical variables are mostly related to the technical characteristics of the machines, which are available in detail in most cases. On the other hand, some equally important parameters such as price, reliability, support for service and spare parts, operating cost, etc., are not available at the required level for various reasons; hence, these can be considered uncertain information. For this reason, such information is described with linguistic variables. This paper presents research related to overcoming this problem by using grey theory for selecting a proper mining machine. Grey theory is a well-known method used for multiple-attribute selection problems that involves a system in which parts of the necessary information are known and parts are unknown.

Modification of Singh's optical flow computation method

Toczyski T.

Przegląd Elektrotechniczny

2004

R. 80, nr 4

378-380

A modification of Singh's optical flow computation method is presented. This modification utilizes a smoothness constraint which is the same as in Horn-Schunck method. This approach allows one to find a solution by solving a single large sparse system of linear equations experimental results are presented.

Przedstawiono pomysł modyfikacji metody Singh'a, liczenia przepływu optycznego. Modyfikacja ta stosuje ograniczenie na gładkość identyczne jak w metodzie Horna-Schunka. Podejście to pozwala znaleźć rozwiązanie poprzez rozwiązanie jednego dużego, rzadkiego układu równań liniowych. Nie zaprezentowano wyników eksperymentów.