Modern multi-core processors, operating systems and applied software are being designed towards energy efficiency, which significantly reduces energy consumption. Energy efficiency of software depends on algorithms it implements, and, on the way, it exploits hardware resources. In the paper, we consider sequential and parallel implementations of four algorithms of shortest paths search in dense weighted graphs, measure and analyze their runtime, energy consumption, performance states and operating frequency of the Intel Core i7-10700 8-core processor. Our goal is to find out how each of the algorithms influences the processor energy consumption, how the processor and operating system analyze the workload and take actions to increase or reduce operating frequency and to disable cores, and which algorithms are preferable for exploiting in sequential and parallel modes. The graph extension-based algorithm (GEA) appeared to be the most energy efficient among algorithms implemented sequentially. The classical Floyd-Warshall algorithm (FW) consumed up to twice as much energy, and the blocked homogeneous (BFW) and heterogeneous (HBFW) algorithms consumed up to 52.2 % and 21.2 % more energy than GEA. Parallel implementations of BFW and HBFW are faster by up to 4.41 times and more energy efficient by up to 3.23 times than the parallel implementation of FW and consume less energy by up to 2.22 times than their sequential counterparts. The sequential GEA algorithm consumes less energy than the parallel FW, although it loses FW in runtime. The multi-core processor runs FW with an average frequency of 4235 MHz and runs BFW and HBFW with lower frequency of 4059 MHz and 4035 MHz respectively.

Concept of machine tool’s column in the appearance of vertical bionic console is proposed. Console was 3D-transformed from the shape of legacy oak-like structure – Eddystone lighthouse. It is proposed to create the variable-section column with “layer-by-layer” technics from the polymer concrete.

FEA shows high stiffness of the column. It increases from 1500 to 11000 N/μm from top to bottom along vertical guideways. Such stiffness needs only 19.3 ton of concrete for the instance of 4.5 m height’s column. FEMmodelling pointed out rather high eigenmode’s frequencies (˃49 Hz). FRF is appropriate for pre-resonance heavy cutting as for post-resonance finishing. Proposed bionic-shape column is perspective as for stand-alone variant so for portal composition created by two opposite columns.

One of the possible approaches to the formation of the optimization model of the underlay is the use of cellular objects. At the same time, the question of constructing geometric models of such objects is relevant. Code fragments and construction results for one variant of geometry in IronPython language in SpaceClaim environment to solve such a problem are given. A possible approach to solving the problem of forming boundary conditions changing in time and space is described.

The subject of research is the choice of a protocol in the Internet of Things (IoT) network for monitoring and analyzing audio information. The purpose of the article is to optimize the process of choosing a protocol for monitoring audio information based on IoT and evaluate the results. The authors have developed an IoT framework for monitoring and analyzing audio and voice information. The IoT network includes a sound sensor (microphone), a unit for analyzing the information received from it and a decision-making module. The description of protocols in the IoT network for assessing the sound level is given: the Wireless USB standard, the narrowband standard of the NB-IoT.

The hierarchy analysis method was used to select the best protocol. The methodology and its main formulas for calculating the best option are given. A table of the four selected protocols for the IB network is given. As characteristics of the protocols, the following are considered: downlink speed, latency, device bandwidth, device transmission power. A matrix of paired comparisons of protocol parameter indicators based on expert assessments has been formed. Four matrices of paired comparisons of transmission standards variants in relation to the indicator of speed, delay, bandwidth of devices, transmission power of devices are constructed. Calculations of local vectors and priority vectors of quality indicators were performed for these four matrices. Then the matrix of vectors of global priorities is calculated by calculating the sum of the products of local vectors of matrices of paired comparisons of transmission standards variants on the corresponding priority vectors of quality indicators of the matrix of paired comparisons of protocol parameters. From the results obtained, the best protocol option for the network and sound monitoring was determined by the maximum value.

The purpose of the research described in the article is to formulate and substantiate the methodology for analyzing quantitative patterns of parameters of projects, devices, systems and technologies, that can be used for relative or rating comparison of projected, planned or applied investigated objects without using long-term experimental or operational data.

The proposed approach to the analysis of quantitative patterns makes it possible to conduct a primary assessment of the advantages of innovative technologies, acomparative assessment of the safety of technical complexes, a targeted pre-operational assessment of equipment parameters, and to form planned distinctive parameters for the implementation of experimental and commercial technical projects.

The work is devoted to modeling the temperature control system for the process of bacterial oxidation of refractory gold-bearing sulfide ores. The simulation was performed using the Fuzzy Logic Toolbox editor in the MATLAB software package. The substantiation of the set of input and output variables, the type of membership functions was carried out, the base of rules for the inference engine was formed. The main stages of modeling are described and the results are analyzed. The use of trapezoidal membership functions is substantiated.

In the paper, a new feature for describing a digital image of a handwritten signature based on the frequency distribution of the values of the local curvature of the signature contours, is proposed. The calculation of this feature on the binary image of a signature is described in detail. A normalized histogram of distributions of local curvature values for 40 bins is formed. The frequency values recorded as a 40-dimensional vector are called the local curvature code of the signature.

During verification, the proximity of signature pairs is determined by correlation between curvature codes and LBP codes described by the authors in [23]. To perform the signature verification procedure, a two-dimensional feature space is constructed containing images of the proximity of signature pairs. When verifying a signature with N authentic signatures of the same person, N(N-1)/2 patterns of the proximity of pairs of genuine signatures and N images of pairs of proximity of the analyzed signature with genuine signatures are presented in the feature space. The Support Vector Machine (SVM) is used as a classifier.

Experimental studies were carried out on digitized images of genuine and fake signatures from two databases. The accuracy of automatic verification of signatures on the publicly available CEDAR database was 99,77 % and on TUIT was 88,62 %.

The user's interface «Nomenclature Generator» for extraction of the chemical structure information from the systematic name of organic compound represented according to IUPAC nomenclature is developed at the All-Russian Institute for Scientific and Technical Information of Russian Academy of Sciences.