Volume 218 (2019): Edizione 3 (September 2019)

An attempt of designing artificial neural networks for empirical laboratory test results tracers No. 5, No. 7 and No. 8 was introduced in the article. These tracers are applied in cartridges with calibres from 37 mm to 122 mm which are still used and stored both in the marine climate and land. The results of laboratory tests of tracers in the field of over 40 years of tests have been analysed. They have been properly prepared in accordance with the requirements that are necessary to design of neural networks. Only the evaluation module of these tracers was evaluated, because this element of tests, fulfilled the necessary assumptions needed to build artificial neural networks. Several hundred artificial neural networks have been built for each type of analysed tracers. After an in-depth analysis of received results, it was chosen one the best neural network, the main parameters of which were described and discussed in the article. Received results of working built of neural networks were compared with previously functioning manual evaluation module of these tracers. On the basis conducted analyses, proposed the modification of functioning test methodology by replacing the previous manual evaluation modules through elaborated automatic models of artificial neural networks. Artificial neural networks have a very important feature, namely they are used in the prediction of specific output data. This feature successfully used in diagnostic tests of other elements of ammunition.

In this review it is presented the insight of challenges faced by all branches of industry in the new age, and especially the maritime industry, strive for sustainable development, better energy control, use of materials with functional properties such as shape memory, all in the direction of increasing safety and comfort. Therefore, the development of new materials with shape memory, which is associated with the introduction of optimized production and the achievement of better functional properties. This leads to new applications in different systems and possible use on devices, which meet the rigorous requirements of the modern industry.

The research into new materials with shape memory effect and their applied use in maritime is a challenge that many researchers have encountered in recent decades, and this is why in this paper we look at the basic engineering aspect of these materials and their current as well as future applications in the maritime industry. An overview of several innovations that testify shape memory effect and superelasticity in different maritime fields will be presented in this review.

The main task of the Polish Border Guard is protection of the country’s border which requires utilization of multimedia surveillance systems automatically gathering, processing and sharing various data. The paper presents such a system developed for the Maritime Division of the Polish Border Guard within the STRADAR project and the problem of fusion of radar data in this system. The system, apart from providing communication means, gathers data from AIS, GPS and radar receivers: ARPA and SCANTER 2001. In the paper the concept of the radar data gathering in STRADAR system is provided with detailed presentation of radar servers, Radar INT modules and a reduplication (fusion) module and the proposition of the algorithm for radar data fusion.

The article presents the concept of a system based on 5G network and M2M communication increasing maritime safety. Generally, the focus was on presenting a proposal for a hierarchical, hybrid, cooperative system with M2M communication coordinated with BAN networks. The possible applications of M2M communication at sea were also presented.

Monitoring of country maritime border is an important task of the Border Guard. This activity can be enhanced with the use of the technology enabling gathering information from distributed sources, processing of that information and its visualization. The paper presents the next stage of development of the STRADAR project (Streaming of real-time data transmission in distributed dispatching and teleinformation systems of the Border Guard), which is realized for the security and defence of the country. In the paper, storing, processing and visualization of the radar data, which is one of the tasks of the discussed scientific and research project, is described. Firstly, the general principle of radar data flow in the system was presented. Secondly, technical software description was described. Finally, radar data visualization functionality was presented.

This paper presents the results of analyses of the series resonance phenomenon in a system containing supercapacitors. The specific features of such components, especially the diffusion processes, cause their dynamic properties significantly differ from those of typical capacitors. In contrast to other authors work, the presented results were obtained during discharging of super-capacitors through periodically changing resistor. Such procedure corresponds to conditions when supercapacitors can be discharged by periodically changing loads. Analysis of resonance phenomena is a very important task; especially in power supply circuits, where supercapacitors often act as energy storage elements. The tests carried out for selected supercapacitors and frequencies range were verified practically using a specially prepared test system.

The software solutions presented in this paper generate real-time data compatible with ARPA radar standard as well as Terma SCANTER 2001 radar cooperating with Video Distribution and Tracking (VDT) server. Two different approaches to this problem are considered: emulation based on the data captured from real devices and simulation of objects on the sea. For both of them architecture, implementation details and functional test results are presented. The developed software will be used to test new functionalities of the multimedia surveillance system implemented for the Maritime Division of the Polish Border Guard within the STRADAR project.