Volume 4, Issue 3, 2019.

Peculariries of Permutation Decoding of the Binary Blocking Codes


The development of the digital economy and the Internet of things, the transition from G4 and LTE standards to G5 technologies put forward ever-increasing demands on data exchange systems for processing speed and reliability. These factors are directly related to the methods of increasing the spectral and energy efficiency of communication systems through the use of complex types of modulation and noise-correcting coding. At the same time, the search for effective data decoding algorithms ensuring the full use of the redundancy introduced in the noise-resistant code continues. As a result, it led to the development of multi-threshold decoding methods, turbo-coding methods using iterative data transformations, improvement of systems based on codes with low density parity checks and systems with multidimensional coding. Simultaneously with the development of these areas of data protection against errors, it became necessary to use noise-resistant codes in control systems that objectively require the use of short code structures based on binary redundant codes. In many respects this approach is determined by the requirements of cycle time control of various unmanned vehicles, robotic Autonomous systems, data protection from seizing control of unmanned systems, development of intelligent transport and numerous technological systems of this type in diverse subject areas.

Identification of Accident Hotspot Locations Using Network Kernel Density


The Geographic Information System (GIS) is a popular tool for visualizing traffic accidents as well as for their spatial analysis. Spatial analysis of traffic accidents is of great importance for understanding the conditions of an accident in order to plan preventive activities in a particular location. One of the most commonly used techniques is the Kernel method used to identify locations with high density of traffic accidents. In this paper a spatial-temporal analysis of traffic accidents with injured pedestrians is presented in the urban area of Novi Sad. Analysis period is of three years, 2008-2010. 549 traffic accidents occurred in which pedestrians participated. The aim of this paper is to identify locations with high density of traffic accidents with injured pedestrians using the Kernel method in the ArcGIS 10.1 package.

The Use of Image Processing Algorithms to Solve the Problem of Navigation of Unmanned Aerial Vehicles

Dmitry GANIN, Konstantin VASILEV, Vitaliy DEMENTEV

The work is devoted to the development and research of navigation algorithms for unmanned aerial vehicles. The main of such algorithms is the integration of video processing results obtained from high-resolution cameras, as well as spatial rangefinder and inertial navigation system. The resulting solution allows for Autonomous navigation in conditions of strong radio interference and the absence of a satellite navigation system signal. The paper substantiates the technical viability of the proposed solution and offers the possibility of its implementation on the basis of existing circuit solutions.

Payment Methods in Vending Machiness

Branislav TEJIĆ, Srdjan TEGELTIJA, Sabolč HORVAT, Miroslav NIĆIN, Miloš STANOJEVIĆ, Mladen BABIĆ

Vending machines are automated machines and devices designed to sell or buy products and pay for services. This paper presents the existing methods of payment on vending machines, their characteristics, advantages and disadvantages, as well as a comparative representation of the methods of payment on vending machines.