In the process of handwritten signature recognition, preprocessing is an important step before calculation its informative features. Signatures of any person always have some differences, in addition, they can be of different colors, sizes and orientations. After signature digitization, their images may contain some noise. The purpose of signature image preprocessing is to obtain the most invariant representation of the digital image of a person's signature, which will allow us to identify him or define that the signature is forged.

This paper describes a sequence of transformations necessary to perform preprocessing of the signature image and form its representation of a single orientation and size. It is assumed that there are no graphic elements in the image that are not related to the signature and the background is relatively uniform. The transformations under consideration sequentially perform binarization of the signature image, its filtering, rotation, cropping of the circumscribed rectangle and scaling to a fixed size.

The described preprocessing procedures were applied to a number of available digital signature image databases, such as CEDAR, BHSig260-Bengali, BHSig260-Hindi. Experiments on signature recognition confirm that the presented approach to the signature image preprocessing leads to increasing of the recognition accuracy.

When processing digital images obtained by remote sensing of the Earth, various methods are used to increase their resolution. However, in this case, some distortions of a different nature may appear on the images. For example, luminance distortion (color, contrast, sharpness) and geometric (object boundary deformations). Developers of automated image processing systems face the task of choosing from dozens of methods the one that introduces the least visually noticeable distortions, i.e. creates images of the best quality.

In this article, the following problem was solved: to determine the functions for assessing the quality of images formed as a result of multispectral satellite image pansharpening. The pansharped image cannot be compared with the template one, since it does not exist. To assess quality of such images, we proposed to use the so-called no-reference evaluation measures.

The article briefly describes methods for synthesizing a new high-resolution color image from four images of Earth remote sensing. Functions for calculating quantitative estimates of the quality of the resulting images are discussed. Results of some space image pansharpening by different methods are presented. Graphs of these assessments of image quality are constructed. To evaluate panchromatic fusion results, the following non-reference quality scores are recommended: FISH, LOCC, LOEN, NATU, SHAR, and WAVS. The clearest boundaries and natural colors of objects were demonstrated by the P+XS pansharpening algorithm based on a linear combination of spectral channels.

The purpose of the research, the results of which are presented in the article, is the analytical synthesis of the law of control of a wheeled mobile robot while it moves along a trajectory specified by reference points on the surface in an inertial coordinate system. The analysis of the existing various approaches to the formation of a given trajectory of movement of a mobile robot, based on a different mathematical formulation of the problem, is carried out. To achieve this goal, the trajectory of motion is considered to consist of separate intervals, at each of which the control optimization problem is solved. The optimization criterion in general form and its representation in the form of a minimized quadratic quality functional, convenient for analytical synthesis of control, are substantiated. As components of the functional, the parameters of the deviation of the trajectory of the mobile robot from the given points in space are considered, as well as the predicted parameters of the velocity vector and the controlling normal acceleration of the mobile robot mass center. In this case, at each given point in space, the trajectory direction to the next point is taken into account, which ensures the optimal curvature of the trajectory at a given flight speed of the aircraft. As a result of analytical synthesis, mathematical dependences were obtained to determine the control acceleration, which allow in the robot control system to obtain a given optimal control law in the form of the rotation angle of the velocity vector, which ultimately ensures the minimum energy consumption by the mobile robot for various conditions of its use. The validity of the proposed theoretical provisions is confirmed by an illustrative example, in which, for a simplified mathematical formulation of the problem, the optimal laws of changing the direction of the velocity vector and the parameters of the trajectory of a mobile robot are calculated by means of computer modeling. The illustrations show the trajectories of the robot through various given points in space and the law of changing the direction of the velocity vector.

In the article considers the possibility of implementing an autonomous mode in the navigation complex of a small-sized tactical unmanned aerial vehicle, including a strapdown inertial navigation system and an onboard vision system. Due to the fact that the accuracy of such navigation systems significantly depends on changes in the background-target environment and equipment failures, it is proposed to organize automatic adaptation of the system to changes in external conditions and internal factors by controlling the operating modes and parameters of the software that implements optimal estimation algorithms. For this purpose, a model of an onboard inertial-optical autonomous navigation system has been developed in the class of discrete dynamic systems with a random change in structure.

The subject of research is the analysis and definition of the information model of devices, the choice of technologies and protocols for data collection and analysis, routing protocols for the Internet of Things (IoT) networks. The purpose of the article is to create an information model of IoT devices, to define technologies and protocols for data transmission and processing and routing in Internet of Things systems. Building an information model of an IoT device includes identifying data sources and their formats, creating a model and data structure, and analyzing them using tools such as: Eclipse Vorto ThingBoard, Ubodots IoT, Node-Red-UI, freeboard.io . An example of a description of a model of microclimate control devices using the Eclipse Vorto toolkit is given. Two main data processing technologies from IoT devices are considered: IBM Watson IoT, Cisco IWF with examples of their application. Radio frequency, infrared, optical and galvanic technologies for interaction between data collection and data transmission devices in IoT networks with examples of their use are discussed. The areas of application of three main IoT network protocols are considered: MQTT (large corporate networks), CoAP (limited networks on the Internet), Bluetooth Low Energy (local networks without the Internet with a small amount of data).Wi-Fi WebSockets, ZigBee, LoRA, Simple RF, XMPP, RFID, NFC can be used as additional protocols for networks. The features of using routing protocols in IoT networks are discussed: RPL (low power consumption), cognitive RPL (for intelligent networks), CARP (for underwater communication networks), E-CARP (for data reuse).

The article describes in detail the step-by-step process of the development and operation of a machine vision system using modern approaches to software development and the subsequent creation and implementation of control of a robotic limb at a distance using microcontroller tools that implement high-speed information exchange on the Internet, and also describes in detail the prospects and problems of work. and the development of modern machine vision systems adapted for server and mobile platforms with their subsequent implementation in the field of robotics.

The methods of applied statistics are reliable mathematical tool for processing and analyzing collected statistical data. As the number and variety of devices allowing to accumulate a variety of data types increase and the spheres of human activity in which information technology is used expand, the need for modern statistical data processing tools grows.

The article describes methods of applied statistics used to study the labor market of IT-industry professionals, using freely distributed tools for data analysis, one of which is a programming language for statistical data processing R.

The paper describes a method for condition monitoring of a complex mechanical system based on pre-computer FEM simulation of vibrations. The interrelation of vibrations of the connected elements of the system, described by transfer functions, is shown. The occurrence of resonant vibrations in directions orthogonal to the direction of the disturbing effect is revealed. The method for calculating of orthogonal direction vibration amplitudes can be based on measuring the values of the of vibrations in one direction and the regularities of the ratio of the amplitudes of vibrations.

An asynchronous quantum-cryptographic communication channel with a receiving module based on a photon counter with a dead time of an extending type was investigated. An expression for estimating the ratio of the probability of erasing binary symbols "0" P(–/0) to the probability of these symbols being erroneous P_err0 has been obtained. Based on the results of mathematical modeling, the dependences of the ratio P(–/0) / P_err0 on the average count rate of signal pulses at the output of the photon counter during the transmission of symbols “0” n_s0 for various average duration of dead time of the extended type τ_d were established. The performed studies have shown that with an increase in n_s0, these dependences at first practically do not change and have values close to unity, but then they drop down to the lowest values and go into saturation. This takes place both in the absence of a dead time of the prolonging type, and in its presence.

FEA of stress state for Pisa Tower is accomplished. Imaginary vertical orientation of the tower is simulated as well as its actual leaning position too. Moderate deformational incompatibility between “column drum” and “stem” load-bearing systems is revealed. Twofold overstressing of lower colonnade is found comparatively to the stem surface. Tower’s compressive stress concentrators are described. The inner helical passage into stem causes a periodical stress concentration about 1.5 – 2 times in the passage vicinity. Arch compression concentrator tied to stem – basis transition is revealed. Places for priority monitoring of marble masonry are pointed out.

Some methodic experience is gained due to lively and successful student participation in all phases of the Pisa Tower FEM simulation.