Generolo Jono Žemaičio Lietuvos karo akademija

In the 21st century technology has reached a sufficiently advanced level. The armed forces of NATO countries are actively implementing simulation systems into the military training process. Simulators save resources and allow troops to train in situations that would be very dangerous or impossible to create in the real world. Properly trained soldiers are a key part of strong and challenging army. Therefore, Lithuanian military training is constantly being improved and new methods are being sought to ensure the highest quality process to develop soldiers’ competence. In order to properly evaluate the effectiveness of the simulators used in the Lithuanian Armed Forces training unit, it is necessary to determine if simulators help to prepare soldiers capable of analysing situations properly and to be modern in combat. Also identify fields for improvement in the use of existing simulators related to military training, provide rational solutions to eliminate identified problems for military training. The aim of this study was to identify Lithuanian Armed Forces combat training centre improvement fields for the simulators’ use in the individual and collective training.

Unmanned aerial vehicles (UAVs) have been developed for military purposes and are therefore particularly advanced and developed in military aviation. Under the circumstances, UAVs and drones are used these days not only in the military but also in the civilian industry.

The purpose of this investigation is to present the protection systems used against the low, slow, and small (LSS) unmanned aerial systems (UAS) capabilities. The results of a market survey are included that highlights potential commercial entities that could contribute some technology that assists in the detection, classification, and neutralization of a LSS UAS. In order to accurately select a protection system which will later be used by all Lithuanian Armed Forces units the nine existing protection systems were analyzed. The analysis was done under the technical specifications for acquisitions and the detailed requirements of the measures were set out on the basis of the Operational Requirements Document. This article provides the existing protection systems against unmanned aircraft vehicle (PSAUAV) technical conditions analysis with the aim to help to make the choices in defining a protection system that can be adaptive to contemporary and future needs for the Lithuanian Armed Forces. The numerous requirements and expectations for nine PSAUAV were analyzed by statistical software package SPSS version 20. There were used the experts’ evaluation methods based on experts’ surveyed sample analysis. The Kendall’s coefficient of concordance (W) was selected for quantitative assessments of experts’ decisions data analysis. In addition for PSAUAV technical conditions evaluation was used the hierarchical clustering.

The purpose of this paper is to investigate how learning in collaboration can support the development of sustainability competence in the military. The concept of sustainability in the military is controversial; nevertheless, requirements for more conscious decisions regarding economics, environment and society issues enter military practice and require rethinking the processes of military education and development. The application of computer-supported collaborative learning brings new opportunities in overcoming controversy of sustainability in the military and at the same time puts forward the solutions and skills for implementations of sustainability in the military.