bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnetic-pulse of assembly of details one-piece compositions
Authors: Strizhakov E L , Nescoromniy S V , Inasaridze G I , Stroganov A N 
Published: January 2021

Abstract
The article discusses the technological processes of magnetic-pulse assembly for obtaining one-piece metal, metal-glass and cermet units. The analysis of connection of stranded wires with lugs of on-board cable networks of aviation and space technology, assembly of metal-glass fuses and sintered assemblies of electrovacuum devices is carried out.
The use of a uniform, radially remote electromagnetic effect on the assemblies to be assembled makes it possible to carry out a denser assembly of conductive conductors with lugs, to refuse soldering and to provide heat removal in the insulating assemblies of microwave devices.
Modelling of the stress-strain state of the lower jaw
Authors: Avilov A V , Avilova N V , Tananakina E S , Sadyrin E V 
Published: January 2021

Abstract
Mathematical modelling is being used in modern dentistry to solve a wide range of scientific problems. The models allow one to predict and estimate the medical intervention impact during the calculations of stress-strain state of prostheses and medical devices. In the present research a mathematical model of the lower jaw, considering the individual characteristics of the geometry, properties of bone tissue and activity of the patient’s mastication muscles using the finite element method is proposed. The work provides an example of determining the operational characteristics of dentoalveolar structures. The analysis of displacements, tensions, and deformations for a particular tooth as well as the selection of the implant diameter were presented as results.
Indicator polymer coating with built-in fiber optic piezosensor
Authors: Pan’kov A A 
Published: January 2021

Abstract
A mathematical model of the functioning of the indicator polymer coating with a continuous optical fiber piezoelectroluminescent sensor built in the form of a flat spiral has been developed. The informative light signal occurs due to the mechanical-luminescent effect caused by the interaction of the piezoelectric and electroluminescent elements in the sensor. Informative characteristics are described and algorithms are given for numerical processing of sequence of output (recorded) light pulses from optical fiber of sensor for indication, location and identification of external mechanical impact and tactile effects. The results of numerical simulation of the distribution of intensity values of light outputs and locations along the length of the sensor of activated (due to external mechanical applied load and “mechanical-luminescent effect” in the sensor) sections of the electroluminescent layer of the sensor are presented; this distribution corresponds to the distribution of intensity values of light pulses at the output from the optical fiber over various time points for model geometric shapes of bodies contacting the tactile surface.
Features of the database implementation for materials for industry and medicine
Authors: Litvinenko A , Karotkiyan R 
Published: January 2021

Abstract
The paper discusses issues related to the creation of a database of materials for industrial and medicine applications. This database is developed to accumulate information about the mechanical and other properties of materials under study and the corresponding sources of information. The paper mainly focused on organizing the change log of the described database. The change log allows one to store, display and analyse all changes made in the database. The technical solutions are presented allowing to implement universal models for logging changes that are invariant with respect to the composition and structure of the tables used.
Calculation of the Energy of Permanent Magnets by the Method of Point Magnetic Moments
Authors: Balaban A L , Bakhvalov Y A , Grechikhin V V , Yufanova J V 
Published: January 2021

Abstract
The article proposes to use the gridless method of point magnetic moments to calculate the energy of devices with permanent magnets. The method makes it possible to exclude the operations of integration over the volume and surfaces, replacing them by summing the contributions of the moments, and significantly reducing the total number of unknowns. The method allows the use of well-known sources, namely charges. The stages of the method implementation are given and examples of its implementation are considered. The calculation results coincide with the known analytical solutions for bodies in the form of a ball and a cylinder. Numerical analysis showed that the total field of a permanent magnet, including the field of the permanent magnet itself and the field of the surrounding space, consisting of piecewise homogeneous subdomains, is equal to zero. An example of the placement of point magnetic moments in a permanent magnet in the form of a parallelepiped is shown. The calculation of its field showed the effectiveness of the method in comparison with the finite element method. The results obtained make it possible to recommend the use of the method of point magnetic moments for calculating the energy of permanent magnets.
The method of spatial-temporal reconstruction of dynamic images based on a geometric model with contour and texture analysis
Authors: Ibadov R R , Fedosov V P , Ibadov S R 
Published: January 2021

AbstractThe article presents a method for image restoration based on a geometric model. The object of research is methods of image removal and restoration. The research is aimed at creating a high-speed and highly efficient system for recovering the lost zones of the underlying surface map image. An algorithm for removing objects and restoring images of lost areas is investigated and its software implementation is developed. The efficiency of the developed algorithm was evaluated on a test example using a statistical criterion.
Additively manufactured Ti-6-4 ELI customized subperiosteal dental exo-implant
Authors: Mukanov G Z , Stepanov S I , Loginov Yu N 
Published: January 2021

Abstract
The role of digital technologies in the manufacture of metal products with complex geometry used in medicine is discussed. A sequence of actions is proposed to obtain a dental implant from biocompatible titanium alloy powder using the additive manufacturing based on features of human jaw anatomy. The boundary conditions for the problem are stated based on the literature data for jaw loading. The strength calculations by finite element method enabled the topological optimization of the implant. The production features of subperiosteal dental exo-implant using electron beam (EBM) melting are presented. Microstructure implant produced from Ti-6-4 ELI powder by EBM was examined.
Development of an algorithm for the calibration of optical and thermal cameras into a unified machine vision system and its software implementation
Authors: Khamidullin I V , Voronina S V , Balabaeva O S , Gavlicky A I , Semenishchev E A 
Published: January 2021

Abstract
The analysis of thermal images is an urgent task for many areas of modern technology and technology, since thermal images are used in many areas of life. Disjointed systems do not allow you to quickly form a general idea of the ongoing processes, since they do not allow an analysis of all parameters. The combination of data spaces obtained in different ranges can increase the productivity and speed of decision making by automated systems. Most often, images obtained with only a thermal imaging camera are a set of spots that characterize the gradient of temperature change in space. These images do not have clear boundaries, which is associated with the physics of thermal energy transfer processes in space. Combination of data obtained by thermal imaging and a camera recording data in the visible range, which are familiar to perception and more understandable to humans.
Areas of application of combined images are: medicine, when making a diagnosis, identifying patients in a crowd (for example, a pandemic), searching for oncology or tissue death processes (as a result of hypothermia or burns); security systems and access control systems; chemistry, in the analysis of mixing processes and reactions; automated and autonomous control systems when building automatic driving systems; and etc.
The development of machine vision systems is based on the analysis of information received by light-sensitive matrices in the form of two-dimensional signals (images). Formation of images is associated with the imposition of distortions on them, which can affect the final result. It is possible to reduce the amount of distortion in different ways or a combination of them. One of the possible methods of primary data processing can be the use of an algorithm for combining data by means of their joint calibration, which will make it possible to achieve a relationship between a 3D point in the real world and the corresponding 2D image, a projection (each pixel) in the image taken by a calibrated camera. In this article, we will consider a thermal camera calibration algorithm based on the analysis of a test pattern.
Rule extraction from the Artificial Neural Network
Authors: Marshakov D V 
Published: January 2021

Abstract
Applying machine learning techniques to various critical decision-making domains implies the need to explain why a machine learning algorithm makes certain conclusions. Artificial neural networks (ANNs) have achieved high classification accuracy for many classification problems, but their results can’t be interpreted, which is why ANNs are often considered as «black box». To interpret the results of neural network classification, the paper presents a method for extracting rules from ANN. The proposed method is based on the structuring of information flows processed in the ANN information field through transforming complex multidimensional data into a simpler structure of a lower dimension, followed by a trivial transformation of the results into a set of fuzzy rules of a certain type. The implementation of the proposed method provides for the construction of the hybrid ANN configuration based on self-organizing and multilayer ANNs. The results of an experimental research of the proposed method are presented on the example of solving the well-known problem of multiparameter classification. The results obtained confirm the adequacy of the proposed method, which can be used both in independent neural network pattern recognition systems and within decision support systems.
Performance of Type-4 Direct Driven PMSG Based Wind Energy Conversion System under Nonlinear Load Demand
Authors: Singh Surinder , Kumar Deepak 
Published: January 2021

Abstract
The wind power installed capacity in wind power generation increasing day by day and having a substantial amount of share in total electrical power generation. As a result, there is lot of research going on in wind power generation system for the improvement in its steady-state and transient operation by choosing better controllers. In this paper, the control schemes have been developed for the switching of power converters which interfaced with common back-to-back dc-link in Type-4 PMSG based WECS configuration. The proposed system has been tested under non-linear reactive load demand, the controllers of generator-side and grid-side converters operates independently to fulfill the active and reactive power demand, by maintaining the DC link voltage constant. The performance of proposed Type-4 PMSG based WECS system has been evaluated in MATLAB/SIMULINK software under dynamic operation and simulation results verify the proposed control scheme.
Wear characteristics of aluminium matrix nanocomposites (AMNCs) – A review
Authors: Singh Mandeep , Bhandari Deepak , Goyal Khushdeep 
Published: January 2021

Abstract
Aluminium matrix nanocomposites (AMNCs) have the ability to meet the needs of innovative applications of engineering materials. These materials are on expanding utilization in industries like ground transportation, aeronautical, sports, and foundation due to the enhanced properties, for example, high strength to weight ratio, corrosion, fatigue, and wear resistance. A few applications including dynamic contact stresses require incredible wear and frictional execution for an improved life. In any case, the integration of these nanoparticles can diminish the wear execution of AMNCs under serious conditions. In several laboratory studies carried out so far in the most recent decade, it has been identified that the wear properties of Aluminium (Al) based nanocomposites are much better than micro composites and its alloys. Within this paper, the publication findings from the year 2016 to 2020 are focussed on the nano-sized reinforcements to analyse the wear performance which is affected by extrinsic variables such as loads, sliding speeds, sliding distance along with intrinsic aspects as microstructure and production method of AMNCs. The reviewed literature found that nano-particle reinforcements substantially enhanced the wear of Al and its alloy nanocomposites.
Short Term Load Forecasting using Metaheuristic Techniques
Authors: Panda Saroj Kumar , Ray Papia , Mishra Debani Prasad 
Published: January 2021

Abstract
The power systems are important by using short term load forecasting (STLF) because it predicts the load in 24 hours ahead or a week ahead. The artificial neural network (ANN) using short term load forecasting brings good result in the predicted load because of its accurateness, easiness in the processing of data, construction of the model as well as excellent performances. The optimization value of ANN is found by different methods which consist of some weights. This manuscript explains the work of ANN with back propagation (BP), genetic algorithm (GA) as well as particle swarm optimization (PSO) for the STLF. The detailed work of the GA and PSO based BP is presenting in this paper which helps for its utilization in the STLF and also able to find the good result in the predicted load. Finally, the result of GA and PSO are compared by simulation and after that, it concluded, the PSO-BP is a good method for STLF using ANN.
DFT Study of Effect of Hydrostatic Pressure on Structural, Electronic and Magnetic Properties of In0.875Cr0.125P
Authors: Kaur Kirandish , Sharma Suresh 
Published: January 2021

Abstract
In this paper, the effect of hydrostatic pressure on structural, electronic and magnetic properties of In0.875Cr0.125P Diluted Magnetic Semiconductor (DMS) in Zinc Blende (B3) phase has been studied at 0 GPa to 26 GPa. The calculations have been performed using Density Functional Theory as implemented in the Spanish Initiative for Electronic Simulations with Thousands of Atoms code (SIESTA) using LDA+U (U=3) as exchange-correlation (XC) potential. The study of electronic structures and magnetic properties show that In0.875Cr0.125P is half metallic in nature and this behaviour is maintained at given pressure range. It is found that forbidden energy band gap increases with increase in pressure due to shifting of valence band maximum and conduction band minimum of energy levels. The investigation of structural properties shows that lattice constant and volume of compound decreases along with increase in total energy of compound with applied pressure. The study of induced local magnetic moment values show their continuous increase on non-magnetic indium and phosphorus atoms with increasing pressure.
Effect of band to band tunnelling (BTBT) on multi-gate Tunnel field effect transistors (TFETs)-A Review
Authors: Shilla P , Verma V , Kumar R , Kumar A 
Published: January 2021

Abstract
TFETs (tunnel field effect transistor) are providing solution to affairs associated with conventional MOSFET devices such as short-channel effects (SCEs) and limitation of minimum (60 mV/decade) subthreshold slope (SS). TFET is a p-i-n diode which conducts in reverse bias and behaves like a transistor due to tunnelling mechanism of the charge carriers across the barrier called band-to-band tunnelling (BTBT). TFETs face some critical problems like lower ON-state currents and ambipolar behaviour of conduction currents. The purpose of this review is to study a highly efficient TFET which provides significant improvements in ION/IOFF ratio with improved ON state current and ambipolar current suppression to enhance the performance of the device. TFET with multigate structure will be studied by using different dielectric and substrate materials. TFET may be considered as promising candidate over MOSFETs in low-power and high-speed switching circuits.
Performance Analysis of FDSOI based Gate Diffusion Input Logic Gates at 28nm Technology Node
Authors: Singh Rana Udayveer , Madhu Charu , Joshi Garima , Godara Mehak 
Published: January 2021

Abstract
In this paper, Fully Depleted Silicon on Insulator (FDSOI) MOSFET at 28nm channel length are simulated in COGENDA Visual TCAD tool. Buried Oxide layer (BOX) between channel and substrate in FDSOI improves the electric field inside the device. The device characteristics are compared in terms of threshold voltage, transconductance parameter, Ion/Ioff ratio and Short Channel Effects (SCEs). To implement VLSI circuits, Complementary Metal Oxide Semiconductor (CMOS) logic is a common choice. However, in the case of CMOS, the logic implementation requires a transistor count equal to twice the number of logic inputs. Therefore, the area is always an issue in the case of the CMOS logic family. To address this issue, Gate Diffusion Input (GDI) based logic has been investigated because it uses less number of transistors. Hence FDSOI MOSFET based GDI logic gates are proposed in this article. FDSOI MOSFET exhibits improved electrical characteristics which can reduce the power consumption considerably and help in expanding the battery life of devices while the GDI logic helps in designing the compact circuit for portable equipment.
A Survey on Prevention of the Falsification Attacks on Cognitive Radio Networks
Authors: Pratibha  , Thangjam Sharmelee , Kumar Naresh , Kumar Sanjiv 
Published: January 2021

Abstract
Today is the era of intelligent cognitive radio network technology that allows the utilization of available spectrum efficiently by allocation of the spectrum dynamically to unlicensed users. The technology utilizes the free spectrum bands which are not being used by the authorized users without causing any obstruction to the existing transmission. Cognitive radio technology promises interference free spectrum access by users. However, there exist many security attacks on spectrum impacting on spectrum access probability and network services. This will result in significant degradation of the performance of a cognitive radio network. This paper discusses the several attacks on different layers, their motives and various mechanisms to prevent them. The specific threats based on issues with configurability are explored on the basis of the related work. In this paper the role of authentication mechanism to prevent the attacks for hassle free spectrum utilization and its performance in resolving the cognitive network security issues are discussed. The need for effective sensing and decision mechanisms to enhance the security of cognitive networks is demonstrated in the paper. Hence, the presented paper gives an overview of existing research efforts at first and secondly, the research challenges are identified that can address the ways to secure the cognitive radio network and lastly the countermeasures in cognitive radio network security strategies are demonstrated.
Design and development of low cost Nano drop UV-Vis spectrometer
Authors: Jothiraj S , Sameera Fathimal M , Jobin Christ MC 
Published: January 2021

Abstract
The ultimate aim of the project is to develop a low-cost spectrometer that analyses the samples in the Nanoscale range and to minimise the usage of samples for diagnostic application. The reflection, absorption or transmission phenomenon alters the incident light during the interaction with the sample. A spectrometer measures this change over a range of incident wavelengths of electromagnetic radiation that has interacted with a sample. The light that acts as a source is passed through the sample. The prepared test sample is analysed in order to validate the developed system. Following the test samples, urine is analysed. 10 volunteers were involved as subjects. The light from the sample passes through a slit and then reflected by a collimating mirror. The wavelength of the light from the sample is analysed by Thermino software in the UV and visible range. The input to this software is provided by the webcam. A 1000 lines/mm diffraction grating is utilized to split the light into its constituent wavelength. This is a low-cost system than the available commercial spectrometers used in the laboratory.
Switching function based inverter modeling for a grid-connected SOFC system in real time
Authors: Gupta Preeti , Pahwa Vivek , Verma Yajvender Pal 
Published: January 2021

Abstract
This paper presents a switching function based modeling of a three-phase voltage source inverter along with hysteresis current control loop, which uses two-axis synchronously rotating reference frame for a grid-connected solid oxide fuel cell, SOFC system. In comparison to detailed inverter model, this inverter model gives the reduced simulation time while keeping the total harmonic distortion within limit as per the latest grid code and at the same time it maintains the required accuracy. All this is accomplished using MATLAB/SIMULINK environment. Further, a one stage ahead has been developed for the researchers by transforming this inverter model into real time model using OPAL-RT’s simulator with hardware-in-loop technology for its implementation in actual power system.
Study and Analysis of Enclosed Gate FET’s
Authors: Vandana  , Kumar Arvind , Shilla Pooja , Kamal Yadevendra 
Published: January 2021

Abstract
The characteristic and parametric dimensioning of Enclosed Layout (ELT) MOSFET with various geometric sizes and shapes has been taken into consideration for the study of irradiations and leakage at room temperature, which has been confirmed on several technological platforms. Using the most advanced technologies, parametric changes with minimum W/L ratios, layout area and input capacitance to reduce leakage current can improve the performance. The technique of hardening of the MOSFETs in contrary to total-dose radiation effects in space environment built in enclosure to the enclosed transistor for the elimination of edges, responsible of conventional NMOS transistors leakage path creation. High yielding, high level of integration, radiation immune, high speed, low costing and high volume production are the profit advantages of the enclosed layout.
Process capability improvement of an eight-head liquid filling machine by the reduction in volume variation
Authors: Adarsh C K , Kulkarni Sudheer D 
Published: January 2021

Abstract
Filling is the process in which liquid and semi liquid products are filled in a container according to the specified requirement. It has a wide range of importance in various industries like dairy products, oil & lubricants, pharmaceuticals, food and beverages, pesticides, chemicals and cosmetic products. Liquids of low to medium viscosity can be filled using these type of filling machines. Filling machine reduces the operational cost and it is not complex to handle where it contributes in obtaining high rate of liquid production in industries. In this paper filling capability factor of machine in a liquid filling line is studied in terms of statistical process control. Filling capability is increased by the application of total production maintenance. Upon continuous usage, the liquid filling spare parts deteriorate which causes volume variation. Define-Measure-Analyze-Improve-Control (DMAIC) approach is applied to analyze and solve this problem. The root causes for volume variation were identified and effective solutions were implemented to decrease the volume variation and thereby enhance the capability of filling.