This article contains a brief description of existing graphical methods for presenting multithreaded applications, i.e. Control Flow Graph and Petri nets. These methods will be discussed, and then a way to represent multithreaded applications using the concurrent process system model will be presented. All these methods will be used to present the idea of a multithreaded application that includes the race condition phenomenon. In the summary, all three methods will be compared and subjected to the evaluation, which will depend on whether the given representation will allow to find the mentioned phenomenon.

Giebas, D., & Wojszczyk, R. (2018). Graphical representations of multithreaded applications. Applied Computer Science, 14(2), 20-37. doi:10.23743/acs-2018-10

Giebas, Damian, and Rafał Wojszczyk. "Graphical Representations of Multithreaded Applications." Applied Computer Science 14, no. 2 (2018): 20-37.

D. Giebas and R. Wojszczyk, "Graphical representations of multithreaded applications," Applied Computer Science, vol. 14, no. 2, pp. 20-37, 2018.

Giebas D, Wojszczyk R. Graphical representations of multithreaded applications. Applied Computer Science. 2018;14(2):20-37.

Intermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account. Besides traditional techniques and specialized methods, data mining offers a better alternative for intermittent demand forecasting since data mining methods are powerful techniques. This study contributes to the current literature by showing the benefit of using data mining methods for intermittent demand forecasting purpose by comprising mostly used data mining methods.

Kaya, G. O., & Turkyilmaz, A. (2018). Intermittent demand forecasting using data mining techniques. Applied Computer Science, 14(2), 38-47. doi:10.23743/acs-2018-11

Kaya, Gamze Ogcu, and Ali Turkyilmaz. "Intermittent Demand Forecasting Using Data Mining Techniques." Applied Computer Science 14, no. 2 (2018): 38-47.

G. O. Kaya and A. Turkyilmaz, "Intermittent demand forecasting using data mining techniques," Applied Computer Science, vol. 14, no. 2, pp. 38-47, 2018.

Kaya GO, Turkyilmaz A. Intermittent demand forecasting using data mining techniques. Applied Computer Science. 2018;14(2):38-47.

This study presents research on the development of an intelligent controller that allows optimal selection of rubber granules, as an admixture recycling component for polymer-gypsy mortars. Based on the results of actual measurements, neural networks capable of predicting the setting time of gypsum mortar, as well as determining the bending and compressive strength coefficients were trained. A number of simulation experiments were carried out, thanks to which the characteristics of setting times and strength of mortars containing different compositions of recycling additives were determined. Thanks to the obtained results, it was possible to select the rubber admixtures optimally both in terms of the percentage share as well as in relation to the diameter of the granules.

Kłosowski, G., Klepka, T., & Nowacka, A. (2018). Neural controller for the selection of recycled components in polymer-gypsy mortars. Applied Computer Science, 14(2), 48-59. doi:10.23743/acs-2018-12

Kłosowski, Grzegorz, Tomasz Klepka, and Agnieszka Nowacka. "Neural Controller for the Selection of Recycled Components in Polymer-Gypsy Mortars." Applied Computer Science 14, no. 2 (2018): 48-59.

G. Kłosowski, T. Klepka, and A. Nowacka, "Neural controller for the selection of recycled components in polymer-gypsy mortars," Applied Computer Science, vol. 14, no. 2, pp. 48-59, 2018.

Kłosowski G, Klepka T, Nowacka A. Neural controller for the selection of recycled components in polymer-gypsy mortars. Applied Computer Science. 2018;14(2):48-59.

The paper analyzes the possibilities of increasing the lifespan of rollers in continuous steel casting line. There are analyzed the causes of the surface rollers damage and the impact of degrading factors in metallurgical production. Three types of welding consumable electrodes designed for restoration layers formation applied by SAW surfacing technology were analyzed. There were analyzed microstructure, microhardness and properties of weld clads in tribological conditions.

Brezinová, J., Viňáš, J., Draganovská, D., Guzanová, A., & Brezina, J. (2018). Possibilities of renovation functional surfaces of equipments in the mechanical engineering industry. Applied Computer Science, 14(2), 60-68. doi:10.23743/acs-2018-13

Brezinová, Janette, Ján Viňáš, Dagmar Draganovská, Anna Guzanová, and Jakub Brezina. "Possibilities of Renovation Functional Surfaces of Equipments in the Mechanical Engineering Industry." Applied Computer Science 14, no. 2 (2018): 60-68.

J. Brezinová, J. Viňáš, D. Draganovská, A. Guzanová, and J. Brezina, "Possibilities of renovation functional surfaces of equipments in the mechanical engineering industry," Applied Computer Science, vol. 14, no. 2, pp. 60-68, 2018.

Brezinová J, Viňáš J, Draganovská D, Guzanová A, Brezina J. Possibilities of renovation functional surfaces of equipments in the mechanical engineering industry. Applied Computer Science. 2018;14(2):60-8.

The performance of the engine strongly depends on the parameters of the combustion process. In compression ignition engines, the fuel injection timing has a significant influence on this process. The moment of its occurrence and its duration should be chosen so that the maximum pressure value occurs several degrees after TDC. In order to analyze the effect of the fuel injection timing on the performance of the tested two-stroke opposed-piston diesel engine, a zero-dimensional model was developed in the AVL BOOST program. Next, a series of simulations were performed based on the defined calculation points for maximum continuous power, which resulted in power, specific fuel consumption and mean in-cylinder pressure. Finally, the engine map was made as a function of the start of combustion angle.

Karpiński, P. (2018). The influence of the injection timing on the performance of two-stroke opposed-piston diesel engine. Applied Computer Science, 14(2), 69-81. doi:10.23743/acs-2018-14

Karpiński, Paweł. "The Influence of the Injection Timing on the Performance of Two-Stroke Opposed-Piston Diesel Engine." Applied Computer Science 14, no. 2 (2018): 69-81.

P. Karpiński, "The influence of the injection timing on the performance of two-stroke opposed-piston diesel engine," Applied Computer Science, vol. 14, no. 2, pp. 69-81, 2018.

Karpiński P. The influence of the injection timing on the performance of two-stroke opposed-piston diesel engine. Applied Computer Science. 2018;14(2):69-81.

Aircraft structures are designed to mainly consist of integral elements which have been produced by welding or riveting of component parts in technologies utilized earlier in the production process. Parts such as ribs, longitudinals, girders, frames, coverages of fuselage and wings can all be categorized as integral elements. These parts are assembled into larger assemblies after milling. The main aim of the utilized treatments, besides ensuring the functional criterion, is obtaining the best ratio of strength to construction weight. Using high milling speeds enables economical manufacturing of integral components by reducing machining time, but it also improves the quality of the machined surface. It is caused by the fact that cutting forces are significantly lower for high cutting speeds than for standard machining techniques.

Bałon, P., Rejman, E., Smusz, R., Szostak, J., & Kiełbasa, B. (2018). High Speed Milling in thin-walled aircraft structures. Applied Computer Science, 14(2), 82-95. doi:10.23743/acs-2018-15

Bałon, Paweł, Edward Rejman, Robert Smusz, Janusz Szostak, and Bartłomiej Kiełbasa. "High Speed Milling in Thin-Walled Aircraft Structures." Applied Computer Science 14, no. 2 (2018): 82-95.

P. Bałon, E. Rejman, R. Smusz, J. Szostak, and B. Kiełbasa, "High Speed Milling in thin-walled aircraft structures," Applied Computer Science, vol. 14, no. 2, pp. 82-95, 2018.

Bałon P, Rejman E, Smusz R, Szostak J, Kiełbasa B. High Speed Milling in thin-walled aircraft structures. Applied Computer Science. 2018;14(2):82-95.

This paper presents the results of testing of a complex electromechanical system model. These results have been obtained for accepted in simulations the method of identifying an inertia moment of reduced masses on shaft of induction motor drive during the changes of a backlash zone width. The effectiveness of correct diagnostic conclusions enables coefficients analysis of testing signals wavelet expansion as well as weights of a supervised learning neural network. The earlier fault detection of five important state variables, which describe physical quantities of chosen complex electromechanical system has been verified for its correctness during the backlash zone width monitoring in the early stage of its gradual rise. The proposed here algorithm with mass inertia moment changes has proved to be an effective diagnostic method in the area of system changeable dynamic conditions and this has been shown in the resulting changes of backlash zone width.

Tomczyk, M., Borowik, B., & Borowik, B. (2018). Identification of the mass inertia moment in an electromechanical system based on wavelet–neural method. Applied Computer Science, 14(2), 96-111. doi:10.23743/acs-2018-16

Tomczyk, Marcin, Barbara Borowik, and Bohdan Borowik. "Identification of the Mass Inertia Moment in an Electromechanical System Based on Wavelet–Neural Method." Applied Computer Science 14, no. 2 (2018): 96-111.

M. Tomczyk, B. Borowik, and B. Borowik, "Identification of the mass inertia moment in an electromechanical system based on wavelet–neural method," Applied Computer Science, vol. 14, no. 2, pp. 96-111, 2018.

Tomczyk M, Borowik B, Borowik B. Identification of the mass inertia moment in an electromechanical system based on wavelet–neural method. Applied Computer Science. 2018;14(2):96-111.