Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

4-8

Authors: Andrii Rudyk, Andriy Semenov, Olena Semenova, Sergey Kakovkin

The paper outlines the latest technologies used by the world's leading manufacturers in the development of mobile low-observable robotic systems and promising measures to improve the quality of components and design of such objects. Methods of detecting objects using stealth technologies are considered, and it is shown that only due to a system approach it is possible to compensate for the reduction of the effective scattering surface of low-observable objects by technical means of radar stations. It is shown that the main method of increasing the range to the radio horizont is the use of an air-based radar. Methods of detecting objects on the traces of their interaction with the environment are promising for organization of cooperation of several radars in the detection of low-observable objects.

14-17

Authors: Anzhelika Stakhova, Volodymyr Kvasnikov

The current state of control of vibration measuring equipment is studied in the work, the analysis of technologies of control of vibrating measuring machine equipment is carried out. It is determined that during the control a sufficient requirement for the analysis of changes in the state over time is to conduct periodic vibration measurements in the same modes of operation of the object. Therefore, the urgent task is to increase the reliability and accuracy of measurement results. It can be enhanced by obtaining additional information. For this purpose, recommendations for optimizing the vibration control points of the mechanism are formed. To increase the accuracy of measurement results when controlling the equipment for vibration signals, the methods of mounting the measuring transducer in the equipment monitoring system are considered. It is shown that the method of mounting the measuring transducer can affect the results of vibration measurements.

22-29

Authors: Yaroslav A. Kulyk, Bohdan P. Knysh, Roman V. Maslii, Roman N. Kvyetnyy, Valentyna V. Shcherba, Anatoliy Ia. Kulyk

In the article are presented the results of researches that touch the problem of the reliability improvement of determining the impurities concentration in biological objects in liquid by using the method of gas discharge visualization. There is an improved analysis method for biological objects in liquid based on gas discharge visualization (GDV), proposed criteria approach towards the assessment of liquid bio object’s composition applying this method, presented the assessment of the nature of liquid bio objects, which use the intensity of spectral components of its radiation has gotten during GDV. There is a developed and researched math model of ignition of a crown discharge and the dependency of spectrum intensity of radiation of liquid-phase biological object on its chemical composition proposed a conversion function for the assessment of the impurities concentration, together with the informative parameters of GDV images. All the results of the experimental researches of GDV and spectral composition of liquid-phase biological objects (LPBO) are presented in the article. The proposed approach lets specify the range of Mg concentrations in an oral fluid (OF) at various thyroid disorders obtained by the trilonometric method. It was found that the concentration of Mg in oral fluid of patients without thyroid disease is 12.73 ± 2.16 mg/l, patients with risk factors for thyroid disease have a concentration of 14.98 ± 1.92 mg/l, patients with sporadic goiter have a concentration of 26.65 ± 3.73 mg/l. Such data allow providing the patients with a better diagnosis of pathological disorders in glandular thyroids that are based on the concentration of Mg in oral fluid. It is confirmed that the concentration of Mg in oral fluid greater than 15 mg/l may indicate the presence of trilonometric pathology, including the focal thyroid gland.

34-39

Authors: Vladislav Kutsman, Oleh Kolesnytskyj

The article proposes a method for dynamic signature identification based on a spiking neural network. Three dynamic signature parameters l(t), xy(t), p(t) are used, which are invariant to the signature slope angle, and after their normalization, also to the signature spatial and temporal scales. These dynamic parameters are fed to the spiking neural network for recognition simultaneously in the form of time series without preliminary transformation into a vector of static features, which, on the one hand, simplifies the method due to the absence of complex computational transformation procedures, and on the other hand, prevents the loss of useful information, and therefore increases the accuracy and reliability of signature identification and recognition (especially when recognizing forged signatures that are highly correlated with the genuine). The spiking neural network used has a simple training procedure, and not all neurons of the network are trained, but only the output ones. If it is necessary to add new signatures, it is not necessary to retrain the entire network as a whole, but it is enough to add several output neurons and learn only their connections. In the results of experimental studies of the software implementation of the proposed system, it’s EER = 3.9% was found when identifying skilled forgeries and EER = 0.17% when identifying random forgeries.

45-49

Authors: Bartosz Wijatkowski, Jakub Smołka, Maciej Celiński

The aim of this research is to check which of two devices the keyboard or the controller – has a positive effect on a player's game-play in a platform game. Four parameters are defined: death count, error count, game time, learning time. A custom game is designed and implemented specifically for the research. The conducted experiment is divided into thirty-minute sessions, during which one player participates in the game after getting acquainted with the game’s mechanics. After completing the game, he/she fills out a survey in which he/she can express his/her level of satisfaction while using the assigned device. Each player has only one attempt. 16 players agree to participate. They are divided into two groups of 8 people each. Participants in the first group use the keyboard while those in the second group use the controller. In order to determine final results for the tested devices, the AHP method is used. The importance values for all pairs of measured parameters are determined in order to calculate their priorities. The priorities allow for distinguishing important from less important parameters. For this purpose, a survey of experienced players is conducted. They help to identify parameter importance. After trials and analysis of responses from the game-play satisfaction and parameter importance surveys, it turns out that players using the keyboard achieve better results, and the keyboard is more satisfying to use.