bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Enhanced Adaptive Histogram Equalization Based Local Contrast Preserving Technique for HDR Images
Authors: Dar Khursheed Ahmad , Mittal Sumit 
Published: January 2021

Abstract
To improve the visualization of an image, the image enhancement techniques enhance the assured features of an image. In this work, the algorithm will enhance medical as well as normal or natural images which are captured in low light and day light conditions. An enhanced adaptive histogram equalization based local contrast preserving technique is developed with the help of image processing methods such as changing colour spaces, inverting images, dehazing, increasing saturation etc. The algorithm proposed here is intended to maintain the local image details while attaining the contrast enhancement. To express the performance of this algorithm, the image quality metrics calculated are peak signal to noise ratio and normalized absolute error. This metric parameters show that this model has better performance when compared to other existing methods.
Intelligent Traffic Light Control System Based On Traffic Environment Using Deep Learning
Authors: Sharma Moolchand , Bansal Ananya , Kashyap Vaibhav , Goyal Pramod , Sheikh Tariq Hussain 
Published: January 2021

AbstractAt present, the traffic control frameworks in India, need insight and go about as an open-loop control framework, with no input or detecting system. Present technologies use Inductive loops and sensors to detect the number of vehicles passing by. It is a very inefficient and expensive way to make traffic lights adaptive. Using a simple CCTV camera can improve the conditions. The visual tracking of objects is amongst the most critical areas of computer vision and deep learning. The objective of this work was to develop the traffic control framework by presenting a detecting system, which gives an input to the current system, with the goal that it can adjust the changing traffic density patterns and provides a vital sign to the controller in a continuous activity. Using this method, improvement of the traffic signal switching expands the street limit, saves time for voyaging, and prevents traffic congestion. The framework additionally goes for consolidating exceptional arrangements for clearing the path for emergency vehicles. In this paper, we will detect and track vehicles on a video stream and count those going through a defined line and to ultimately give an idea of what the real-time on-street situation is across the road network. Our real target is to advance the deferral in the travel of vehicles in odd hours of the day. It uses the YOLO (“You Only Look Once”) object detection technique to detect objects on each of the video frames And SORT (Simple Online and Real-time Tracking algorithm) to track those objects over different frames. Once the objects are detected and tracked over different frames, a simple mathematical calculation is applied to count the intersections between the vehicle’s previous and current frame positions with a defined line.However, accuracy drops when vehicles are either close together or have large shadows, dark vehicles do not always meet the detection criteria, and night scenes are challenging to resolve as headlight beams can create large areas that meet threshold criteria. We are focusing on the Indian roads where the traffic conditions are harsh and abrupt. We have already tested it on a live feed from various traffic prone roads and have found satisfactory results. Other Adaptive Traffic Light Systems were not able to work on the Indian traffic conditions. Our model has the edge over the other by performing at par on Indian roads. We’ll increase or decrease the timer according to the conditions of the roads. This will tremendously improve the traffic conditions at a very low cost. Inductive loops are a feasible but expensive method. So, this system reduces costs and provides quick results.
Forecasting And Prediction Of Air Pollutants Concentrates Using Machine Learning Techniques: The Case Of India
Authors: Sharma Moolchand , Jain Samyak , Mittal Sidhant , Sheikh Tariq Hussain 
Published: January 2021

Abstract
Air quality index (AQI) is a number used by government agencies to communicate to the public how polluted the air currently. It is based on several factors like SO2, NO2, O3, RSPM/PM10, and PM2.5. Several methods were developed in the past by various researchers/environmental agencies for the determination of AQI. Still, there is no universally accepted method that exists, which is appropriate for all situations. We have developed a prediction model that is confined to standard classification or regression models. These prediction models have ignored the co-relation between sub-models in different time slots. The paper focusses on a refined model for inferring air pollutants based on historical and current meteorological datasets. Also, the model is designed to forecast AQI for the coming months, quarters or years where the emphasis is on how to improve its accuracy and performance. The algorithms are used on Air Pollution Geocodes Dataset (2016-2018), and results calculated for 196 cities of India on various classifiers. Accuracy of 94%-96% achieved from Linear Robust Regression, which increases to 97.92% after application of KNN and 97.91% after SVM and 97.47 after 5th epoch of ANN. Decision Tree Classifier has given the best accuracy of 99.7%, which increases by 0.02% on the application of the Random Forest Classifier. Forecasting achieved by Moving Average Smoothing using R-ARIMA, which offers daily values for the coming 45days or monthly data of AQI for the next year.
Detection of Cardiac problems by the Extraction of Multimodal functions and Machine Learning techniques
Authors: Kasturiwale Hemant , Kale Sujata N 
Published: January 2021

Abstract
The machine learning based model is designed for robustness on the basis of both ECG based HRV analysis and non-ECG based analysis. The goal is to evaluate the efficacy of different machine learning classification models. A statistical analysis is provided with repositories such as MIT/BIH Normal Sinus Rhythm (NSR) and MIT/BIH Atrial Fibrillation (AF) and Peripheral Pule Analyzer. The model was checked on all possible subject conditions, the form of ECG database and the non-ECG signal. The Best Feature was chosen from the various HRV Settings that will be used for classification. In our intra group selection analysis, traditional and well-known machine learning classification techniques, such as Random Forest, Support Vector Machine, K-Nearest Neighbours, Adaptive Boosting, Support Vector Machine. Robustness is driven primarily by precision, flexibility and specificity. The 5 percent higher accuracy band and lower band model are tested. The Random forest has produced better performance and has been tested for its robustness. Testing is carried out for more than 20 indices and more than 40,000 combinations generated and added to the model for study. The efficacy of these classifier-based Intra-Group selection models is tested by performing variety of dataset experiments obtained from standard sets as well as acquired data. Overall experimental findings and discussions will enable all researchers to assess the effect of the features on the model.
Deposition process of an epilam film during surface plastic deformation
Authors: Barsukov G V , Selemenev K F , Danilchenko S G , Petrukhin A V , Titov D I , Pankov G B 
Published: January 2021

Abstract
The article deals with the conditions of contact between the tool and the nominal surface during surface - plastic processing with balls due to centrifugal force. The dependences reflecting the impact of the oblique impact of the ball on the surface are given. It has been established that the deformation process can be significantly influenced by the epilamic coating of the working elements of the tool, which significantly changes the energies of the interaction of the contacting surfaces.
Investigation of the process of additive formation of fusible materials using a low-power solid-state laser
Authors: Kuts V V , Merkulov V S , Grechukhin A N , Privalov A S 
Published: January 2021

Abstract
The method was developed for the additive formation of fusible materials based on research. He suggests using a low-power solid-state (ytterbium) laser (maximum power 50 W) for this. A series of experiments were carried out and the elements were obtained for the shaping mode without complete melting while maintaining the shape of the workpiece, such as: power, focal length, travel speed. The results confirmed the possibility of using this type of equipment for the additive forming of products from fusible materials. They are the basis for further research on other materials, including with the additional use of a protective atmosphere.
Study of the parameters of the pure iron structure after surface plastic deformation treatment with a complex-profile tool
Authors: Blumenstein V Yu , Mitrofanova K S 
Published: January 2021

Abstract
The structure of pure iron after surface plastic deformation (SPD) by a multiradius roller (MR-roller) was studied using optical microscopy (OM) and atomic force microscopy (AFM). An optical microscope of reflected light is used to study the size and uniformity of grains and subgrains (Neophot-21). The fine structure of the sample surface was studied using an atomic force microscope (Solver PH47-PRO) contact method. The paper shows changes in the deformation relief of the material after processing with an MR-roller.
Study of non-linear synergy control laws on the experimental stand of pneumatic actuators
Authors: Obukhova E 
Published: January 2021

Abstract
The purpose of this work is to synthesize the laws for controlling the position of the piston of a pneumatic cylinder using the synergetic method of analytical design of aggregated controllers (ACAR), which takes into account the nonlinear dynamics of the system under consideration.
The procedure for the synthesis of synergetic control is based on the introduction of a sequence of invariant manifolds, proceeding from the technological problem of positioning the pneumatic cylinder rod at the required position, and the subsequent step-by-step dynamic decomposition of the original dynamic system.
As a result, the synthesized nonlinear two-channel regulator moves the pneumatic actuator rod to a predetermined position while simultaneously stabilizing the pressure in the drain chamber. Simulation of the system with a regulator showed that the control law obtained in analytical form moves the pneumatic actuator rod to a given position while simultaneously stabilizing the pressure in the drain chamber.
The paper deals with practical research that was carried out at the educational and experimental stand of pneumatic drives for vertical and horizontal movement of the Camozzi company.
Nonlinear dynamics of liquid crystal: ultrasonic light modulator
Authors: Denisova O A 
Published: January 2021

Abstract
The article discusses the influence on the physical properties of a planar-oriented cholesteric liquid crystal (chlesterylpelargonate) with a thickness of 10-15 microns, the propagation of elastic waves in the ultrasonic range (exposure frequency 600 kHz). Changing the pitch of the crystal spiral leads to changes in its optical properties, which is shown in the modulation spectrum of light reflection from the cholesteric layer in the selective scattering region. It was found that a positive peak is observed at a light wavelength of 436 nm, and a negative peak at 427 nm. A technique of experimental measurements is proposed, which uses the principles of modulation spectroscopy, which makes it possible to record with a high degree of accuracy even insignificant changes in optical spectra, which are not possible to register with conventional optical spectrometers. By analyzing the reconstructed reflection spectrum, it can be concluded how the swirling of a liquid crystal affects the processes that occur in it during the propagation of ultrasonic waves. The considered nonlinear processes are interesting for creating ultrasonic light modulators based on liquid crystals.
Theoretical studies of plain hinged linkage mechanisms movement in food processing robots-manipulators
Authors: Babenyshev S P , Bratsikhin A A , Mamay D S , Drofa E A , Prikhodchenko O V 
Published: January 2021

Abstract
Significance of the studied problem is conducted due to the lack of simple and accessible engineering methods that allow predicting kinematic characteristics and selecting parameters of the main elements of modern robotic manipulators that include mechanisms of parallel structure in their design. The solution of such tasks allows determining the ranges of operational indicators of the designed technological equipment in advance, as well as to develop criteria for their analysis. An algorithm for applying the Lagrange II equations to determine the equations of plain hinged linkage mechanisms movement with four degrees of freedom is proposed.
Antifriction properties of electrochemical coatings based on carbon materials
Authors: Drogan E G , Plekhanova E V , Burlakova V E , Varavka V N , Plekhanova T G 
Published: January 2021

Abstract
As a result of research by the detonation synthesis method, chemically stable nanodiamond particles with a size of up to 100 nm were obtained. Aqueous solutions of the obtained particles can be used as an electrolyte to obtain carbon coatings by the electrochemical method.
Computer Simulation of TiAlN Coatings and Its Analogues on Iron Surface
Authors: Migal Yu F , Kolesnikov V I , Shishiyanu D N 
Published: January 2021

Abstract
The strength of various variants of the TiAlN coating and its analogues on the iron surface is studied by using quantum chemistry methods. As a computer model, we consider a system of 5.5 atomic layers, 3 of which imitate the base (metallic iron), and 2.5 layers imitate its coating. The dependence of the coating strength on its chemical composition and the mutual arrangement of atoms of various elements is studied. It follows from the calculations that the strength of the optimal TiAlN coating is almost equal to the strength of the surface of pure iron. The proposed model was used also to study the role of the coating in protecting the iron surface from oxidation. It is shown that the considered coating variants practically do not undergo oxygen corrosion, which is one of the reasons for their high efficiency.
Pulsed laser deposition of Au nanoparticles on ZnO nanostructures
Authors: Nikolaev A L , Kamencev A S , Lyanguzov N V , Aizikovich S M 
Published: January 2021

Abstract
Au nanoparticles and ultrathin gold films were obtained on the surface of thin (100 nm) ZnO films on Si (001) by pulsed laser deposition (PLD) at high argon pressure by sputtering a pure gold target with a CL3100 pulsed excimer laser (λ = 248 nm) at room temperature. The dependence of the size and distribution of nanoparticles on the argon pressure in the vacuum chamber (PAr), the power density of laser radiation (j), and the number of laser pulses (N) was investigated. Also, to obtain nanostructures, axial and non-axial deposition was used, where the substrate was located perpendicular and parallel to the plasma torch, respectively. Stable modes of obtaining gold nanoparticles with high uniformity and average size from 4 to 10 nm were demonstrated. The modes of stable and reproducible deposition of ultrathin Au films (23-42 nm) and percolation structures (18-20 nm) were also demonstrated. Thus, PLD is a reliable and flexible tool for obtaining nanoparticles and ultrathin Au films the average size and thickness of which can be predictably controlled by varying the deposition parameters. This technique is well suited for coating with gold nanoparticles the surface of nanostructured materials based on chemically active substances that are particularly sensitive to surface cleanliness, which cannot be coated by standard methods.
Graphical interface software for the surgical table control system to monitor and adjust the parameters of surgical equipment
Authors: Filippenko V A , Epikhin A N , Korochentsev D A , Safaryan O A 
Published: January 2021

Abstract
The work is devoted to the development of software with a graphical interface for the surgical table control system, which allows you to monitor and adjust the parameters of surgical equipment. The object of the work is the processes between the computer and the microcontroller that control the surgical equipment. The subject is the software tool, which is used to ensure the operation of the surgical equipment control system. In the work there is an analysis of requirements and methods necessary for creation of safe medical software. After that, the algorithmic design takes place, which includes: selection of the design pattern, the structure of the codograms and the algorithm of the operation start.
Stimulated fluidity of Nd-Fe-B powder in magneto fluidized bed
Authors: Egorov I N , Egorov N Ya , Egorova S I 
Published: January 2021

Abstract
Experimental studies results of electromagnetic effect influence on stimulated fluidity of Nd-Fe-B powder are presented in the paper. Fine Nd-Fe-B powder doesn’t have natural fluidity. To make it flow through hopper nozzle, the powder was affected by constant and alternating gradient magnetic fields. Constant magnetic field induction lines were horizontal, and alternating field lines were vertical with gradient towards efflux direction. We studied influence of magnetic fields on powder fluidity speed to find optimal magnetic fields parameters that form steady efflux of Nd-Fe-B powder with an average particle size 4.6 μm through nozzles with diameters 1 and 2 mm.
Review of Methods for Solving Inverse Problems of Identification of the Magnetization of Permanent Magnets in Electrical Devices
Authors: Bakhvalov Y A , Balaban A L , Grechikhin V V , Denisov P A , Nekrasov S A 
Published: January 2021

Abstract
The article shows the need for identification of permanent magnets by studying the distribution of magnetization over their volume by solving inverse problems. The main approaches to solving inverse problems are considered: minimization of some functional and multiple solution of the direct problem of calculating the magnetic field; solution of an ill-posed problem and determination, using regularization methods, of a pseudosolution that is stable to small perturbations. An overview of the work performed aimed at improving the theoretical and practical approaches to solving these problems is given. New mathematical models and methods for calculating the magnetic field have been developed, which provide a decrease in the number of unknown parameters, an improvement in stability and a decrease in time consumption in the problems of identifying the magnetization of permanent magnets in electrical devices. The influence of the experimental data error on the solution result is estimated. Examples of solving test problems and experimental studies are given, which have shown the effectiveness of the proposed methods and approaches. The results obtained can also be used to solve direct and inverse problems of electrical engineering.
Intelligent Regularized Measurement Procedure Based on the Use of a Dynamic Model of the Combined Maximum Principle and the Theory of Regularization
Authors: Lazarenko S V , Kostoglotov A A , Khayrullin R Z , Kornev A S 
Published: January 2021

Abstract
A method for intellectualization of measurement procedures based on step-by-step optimization procedure is developed. The procedure reduces the stochastic estimation problem to a number of deterministic problems. The goal of the first stage of optimization is the synthesis of adaptive mathematical model of the measuring process based on the combined maximum principle. In contrast to the known methods this ensures the constructiveness of its use at the next stages of optimization. The goal of the subsequent stages of optimization is to solve the estimation problem based on the regularization method of A.N. Tikhonov. The equations for the iterative measurement procedure are obtained. The structure of their state transition vector functions differs from the known equations structure. This procedure belongs to the category of intelligent measurement procedures, since it makes a targeted choice of the parameter estimation closest to the true value the under the conditions of structural uncertainty of the model of the studied object and of parametric uncertainty of the observation model.
Software development for calculating the polluted by suspension and other impurities zones volumes on the basis of graphics accelerator
Authors: Chistyakov A E , Strazhko A V , Atayan A M , Protsenko S V 
Published: January 2021

Abstract
Software package construction for a distributed solution of the matter transfer problem in a reservoir is the aim of the work. The software package consists of several components that use different methods of interaction. The solution study posed by various methods and comparison of their performance is carried out. An algorithm for parallel solution on a graphics accelerator controlled by the CUDA system has been developed. A comparative analysis of the algorithms operation on CPU and GPU is carried out. The software implementation of the components included in the complex is described; the main classes and implemented methods are documented.
Synthesis of control of the aircraft angular velocities based on algorithm with a predictive model
Authors: Lazarenko S V , Trofimenko V N , Volkova A A , Kuchugura N O 
Published: January 2021

Abstract
An urgent issue is to obtain optimal control laws for nonlinear dynamic objects. The article presents a numerical algorithm to control stabilization of the angular velocities of spacecraft with various axial moments of inertia based on optimization with respect to the Krasovsky functional using the predictive model method. The simulation results are presented. The character of the curves of angular velocity dynamics and control moments obtained in the simulation corresponds to the curves of angular velocity dynamics and control moments obtained in the simulation of control using the analytical law for an axisymmetric spacecraft, which confirms the adequacy of the synthesized algorithm.
Detailing the model and objective function for the task of optimizing the power distribution process
Authors: Mokhov V A , Tkachev A N , Shaykhutdinov D V , Kostinskiy S S , Manatskov Y M 
Published: January 2021

Abstract
In this article, for the spectral expansion of periodic functions by means of a truncated segment of the Fourier series, the authors demonstrated options for their representation in the form of sets of coefficients and showed the relationship between the latter. On the basis of mathematical calculations, the authors have prepared an appropriate mechanism for organizing calculations, for which a number of linear matrix operations have been formed. The application of a new computing mechanism based on a discrete expansion of continuous periodic functions is demonstrated in detailing the problem of combinatorial optimization of the power distribution process, as well as the corresponding load model and target function.