×

You are using an outdated browser Internet Explorer. It does not support some functions of the site.

Recommend that you install one of the following browsers: Firefox, Opera or Chrome.

Contacts:

+7 961 270-60-01
ivdon3@bk.ru

  • A Two-Stage Architecture for Estimating Scene Structure Parameters from Graph Cuts

    In this paper, methods for estimating one's own position from a video image are considered. A robust two-stage algorithm for reconstructing the scene structure from its observed video images is proposed. In the proposed algorithm, at the feature extraction and matching stage, a random sample based on the neighborhood graph cuts is used to select the most probable matching feature pairs. At the nonlinear optimization stage, an improved optimization algorithm with an adaptive attenuation coefficient and dynamic adjustment of the trust region is used. Compared with the classical Levenberg-Marquard (LM) algorithm, global and local convergence can be better balanced. To simplify the system's decisions, the Schur complement method is used at the group tuning stage, which allows for a significant reduction in the amount of computation. The experiments confirmed the operability and effectiveness of the proposed algorithm.

    Keywords: 3D reconstruction,graph-cut, Structure-from-Motion (SfM),RANSAC,Bundle Adjustment optimization,Levenberg-Marquardt algorithm,Robust feature matching

  • A Lightweight Modified YOLO Network for Road Scene Object Detection

    The paper considers a lightweight modified version of the YOLO-v5 neural network, which is used to recognize road scene objects in the task of controlling an unmanned vehicle. In the proposed model, the pooling layer is replaced by the ADown module in order to reduce the complexity of the model. The C2f module is added as a feature extraction module to improve accuracy by combining features. Experiments using snowy road scenes are presented and the effectiveness of the proposed model for object recognition is demonstrated.

    Keywords: road scene object recognition, YOLOv5, Adown, C2f, deep learning, pooling layer, neural network, lightweight network, dataset

  • Analysis and development of approaches for the stimulating part of engineering staff remuneration

    The paper presents and analyzes the main methods of material stimulation of engineers and technician staff on russian and partly foreign enterprises, taking into account national management models. The article highlights the indicators that affect the stimulating part of remuneration for different occasions.

    Keywords: engineering and technical personnel, remuneration, the stimulating part of remuneration, performance labor.

  • Comparative study of the catalytic activity Pt/C and PtхNi/C materials in the oxygen electroreduction

    The catalytic activity of Pt/C and PtxNi/C electrocatalysts prepared by  borohydride methode was studed. It was established that the specific activity  of fresh prepared Pt3,7Ni/C  catalyst  in oxygen  electroreduction  reaction is higher in compare with Pt/C material. After treatment of Pt3,7Ni/C material in the hot acid  nickel in the surface layers of nanoparticles was dissolved and the composition of nanoparticles was changed to Pt5,6Ni. The electrochemical surface area of the Pt5,6Ni catalyst and specific activity was slightly decreased after corrosion treatment. 

    Keywords: platinum electrocatalysts, corrosion stability of the nanoparticles, fuel cells, X-ray diffraction, borohydride synthesis

  • Magnetic properties of multiferroics BiFeO3, (BiLa)FeO3 and (BiNd)FeO3 electrets formed by corona discharge

    Recently, BiFeO3  multiferroics have drawn a great deal of attention due to their superior ferroelectric properties in epitaxial thin film form in comparison to counterpart bulk single crystals or ceramics. In this work we present the results on magnetic properties of multiferroic ultrathin films (30-300 nm) of BiFeO3, (BiLa)FeO3 and  (BiNd)FeO3  obtained by sputtering in transverse high frequency discharge, vacuum laser oblation and metalorganic chemical vapour deposition  on monocrystalline  substrates of (001) SrTiO3, (100) MgO and  (100) Al2O3. The concentration of Bi, La и Nd in dodecahedral sublattices was varied. A novel effect of treatment of multiferroic films in a negative corona discharge has been investigated. It is demonstrated that the magnetisation may be increased by up to 35%  whilst the change in    is not noticeable. This effect does not depend on neither film composition no technological method. 

    Keywords: multiferroics, magneto-electric materials, methods of preparation, the films of bismuth ferrite, pseudomorphic structure, magnetic properties, corona discharge

  • Researching a profile of potential of an electrostatic field during a blizzard in the Alp zone as potential renewable micro power source

    Tendencies of technological improvement of electronic chips led to reduction of their sizes, weight, development of functionality and decrease in power consumption. It allows us to discuss questions of developing renewable micro power sources which can provide power supply of autonomous microelectronic and micro circuitry systems for charge indication, paying attention to snow transfer, etc. 
    The purpose of the paper is researching a profile of electrostatic field potential in the mountain district which was estimated as a possible use as a renewable micro power source.
    It is found out that on windward sides of snow relieves the potential of electrostatic field exceeds three times to a similar  indicator for lee sides and is 80 V.  The potential is 3,5kV on polymeric surfaces (Nylon, teflon).   

    Keywords: snow storming electricity, electrization, potential of electrostatic field, charge, the salting, the loaded particles of snow, innovation electronics, micro circuitry, renewable micro power sources.

  • Basic and additional assortment woody plants for green building in the south-west Rostov region

    The problem of formation of assortment of wood plants for the South-West of Rostov region. Proposed main and additional assortment of wood plants, including 159 species. In ассотимент included the most sustainable and eco-efficient exotic plants. The assortment includes species not damage the disease of family Betulaceae, toxic and invasive species (Amfora fruticosa, Ailanthus altissima, etc.).

    Keywords: green building, assortment of woody plants, Rostov region, introduction