bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital production management methods of radio-electronic industry
Authors: Petrushenskaya A A , Korshunov G I , Smirnov S A 
Published: June 2019

Abstract
During the past decade the methods of Industry 4.0 became widely spread in many areas. Radio electronic industry is not an exception in this process. Nowadays methods of digital manufacturing are gaining the particular significance in this industry. These methods propose elaboration of models of products and processes and their further simulation-based optimization. In this paper an analytical model has been developed for detailing the manufacturing process of electronic products. The model allows to determine the technical level of the projects in radio electronic industry with respect to production cycle stages: manufacturing, assembly, testing. The significant part of this model is coefficients that imply the complex assessment of projects parameters: laboriousness, material consumption, capital and quality. These indicators could be employed in the process of simulation-based optimization of products and technological processes.
Increasing the level of control and management of arc steel-smelting furnaces
Authors: Martynova E S , Bazhin V Yu , Kharazov V G 
Published: June 2019

Abstract
The urgent problems of modern steel-making devices are considered on the example of ASSF-90 arc steel-smelting furnace. The analysis of modern methods for controlling the parameters of arc steel-smelting furnaces is performed, the main shortcomings of the methods used are diagnosed. Laboratory studies of the parameters of arc steel-smelting furnaces were carried out, as a result of which the dependences of the temperature parameters of the furnace during different periods of melting were revealed. Based on the data obtained, an algorithm for controlling an electric steel-arc furnace has been developed and a computer program has been written. A project has been proposed for introducing the program into an existing SCADA system at one of the modern Russian electrometallurgical facilities.
Development of a computational mesh generator for the OpenFOAM software environment used at industrial enterprises
Authors: Chitalov Dmitri I , Kalashnikov Sergey T 
Published: June 2019

Abstract
The paper is devoted to special features of the development of an application with a graphical user interface to prepare computational meshes (CMs), when performing numerical simulation based on the OpenFOAM software environment (SE), used at enterprises of missile engineering, automobile industry, engine building, shipbuilding and other industries. OpenFOAM, if used, permits successfully conducting numerical simulation in the phase of engineering of finished goods through 3D modelling of deformable solids, investigation of their characteristics, when interacted with liquid and gaseous media, and also study of mechanics of deformable solids that correspond to the models. The paper provides the comparative characteristics of available software with a graphical user interface mainly used to prepare CMs and the revealed drawbacks of the software. The urgency of an issue is highlighted, special features of the development of the new application are given. The study scientific novelty that lies mainly in the enlargement of a list of types of CMs available for preparation through a graphical user interface, and possible operation with any number of mesh models in one OpenFOAM case, is defined. The program has a certificate №2018616380 dated May 30th, 2018 on registration by Federal Institute of Industrial Property.
Control system for thiosulfate leaching of intermediate industrial products in metallurgy
Authors: Kazakovtsev L A , Kustashev P A , Polyakova A S , Popov A M , Panfilov I A 
Published: June 2019

Abstract
The efficiency of the process of thiosulfate leaching of intermediate industrial products depends on the composition of the incoming raw materials, the operational control of which is impossible. In this paper, we propose upgrading of the process control system which allows reducing the downtime of the process equipment.
Neural network classification of surface quality after hard turning of 105WCr6 steel
Authors: Rastorguev D A , Sevastyanov A A 
Published: June 2019

Abstract
The paper presents the results of a surface quality study after hard turning on a CNC lathe. Ring workpieces made of 105WCr6 steel and hardened to HRC 55 are used in this work. Data was obtained on surface quality and type of chips in a three-factor experiment for end face cutting. In order to assess the surface quality, it was photographed on an optical microscope with 4, 10, 40 times magnification. The surface quality was evaluated by traces of processing and divided into three types: the absence of moire, a clear moire, and an intermediate type of surface. The chip morphology was divided into the following categories: discontinuous, snarled and ribbon chips. To predict both parameters for different cutting conditions artificial neural networks (ANNs) were used. Different ANNs are applied to achieve the best classification results. In this work probabilistic neural network (PNN), feedforward network and learning vector quantization (LVQ) network are used. The results of modeling all networks are similar and can be used for technological preparation of production.
Criteria for the process of drawing copper microwire for electronics
Authors: Volkov A V , Sokolova I D , Korzhavyi A P , Beckel L S 
Published: June 2019

Abstract
The paper provides information on the use of the developed mathematical model of repeated drawing with the sliding of a microwire from copper, intended for the installation of intracircuit electrical connections of microcircuits. Creation of a microwire based on copper for internal electric contact connections is a complex task: in the world practice, only a few firms can produce such a material that fully meets the requirements of the microelectronic industry. To obtain the specified microwire, it is necessary to work on the creation of high quality micro-alloyed copper; make a serious adjustment of the process of obtaining microwires, taking into account the complex of physical and chemical properties of the material. The article defines the criteria for the stability of the process of drawing during modelling, suitable for designing transitions of diamond dies. An analysis of the slip drawing process criteria, the safety factor of the drawing transitions, and the peripheral speeds of the pulls and wires to ensure the selection of both theoretically accepted and actually specified transitions of diamond dies is given. Based on a preliminary analysis of the model, recommendations are presented for its further improvement with the use of the criteria for the stability of the drawing process in order to increase the reliability of the process of obtaining a copper microwire for electronics.
Problems of ensuring accuracy in the manufacture of large-sized thin-walled parts
Authors: Zhilyaev A S , Kugultinov S D , Efremov S M 
Published: June 2019

Abstract
The manufacture of large-sized thin-walled parts is a complex, time-consuming and high-tech process, as practice shows. The result of production does not always meet the requirements of the design documentation, which leads to the exclusion of parts from further production and the loss of time spent by a team of specialists and workers. The paper analyses the occurrence of defects leading to faults. It identifies the direct and indirect causes of their occurrence, suggests ways to eliminate them using the control parameters of the technological system: tool path in the control program, cutting conditions, cutting tool geometry. The proposed recommendations, tested in the production process, have significantly improved product quality and reduced production preparation time.
Energy recovery method of damping oscillations of the vehicle suspension
Authors: Okladnikov D L , Zeer V A , Grazhdantsev E V , Avdeev R M , Akhremov S A 
Published: June 2019

Abstract
The paper analyses the existing methods of energy recovery of vehicle suspension oscillation damping. It reveals the most preferred method in which an electromagnetic device of rotational type with a ball screw gear is used. The influence of the road parameters on the dynamic loads in the drive of an electromechanical generator is determined by mathematical modelling.
The analysis of the industrial safety providing and processes control multifunctional system via use of a hybrid modeling methodology
Authors: Nasibullina T V , Shornikov U V 
Published: June 2019

Abstract
This article proposes the analysis of the multifunctional safety providing and process control system of a coal mine for the purposes of a hybrid modelling, provides the elements of the system at various abstraction levels, defines the goals and objectives of the modelling, and shows the practical significance of the work. The “Smart Mine®” system’s personal positioning function considered as an example, the analytical and formal models of the system are provided. The utility of hybrid modelling for high-responsible systems’ end-to-end design and for emergency prediction is shown.
Parametric synthesis of system of transmission of motion to links of anthropomorphic gripper of variable structure
Authors: Zhdanova Yu I 
Published: June 2019

Abstract
The article is dedicated to issues of designing an anthropomorphic gripper (AG) made from actuating link groups (ALG) possessing kinematics similar to human fingers kinematics. The ALG option with the number of output links exceeding the number of motors is being considered. The general drive of links using motion transmission system (MTS) of variable structure is realized. The accepted method of MTS construction provides development of a new feature that is adaptability of the location of links to the profile of the grasped object surface. MTS may be constructed using leverage, rope and combined mechanisms. The transmission of high force is realized by leverage mechanisms. Its special feature is significant number of projected parameters. It determines the necessity of solving a problem of MTS parametric synthesis in optimization performance. The maximal force on the ALG output links at the end positions is proposed to be used as an optimality criterion. The restrictions placed on an optimality criterion and terms of similarity to finger phalanges motion are determined.
Virtual casting and rolling lines development
Authors: Yakiv’yuk P N , Piskazhova T V , Belolipetskii V M , Nesterov G A 
Published: June 2019

Abstract
The article describes an example of a casting and rolling complex. A program has been developed for calculating the temperature of the metal in the casting and rolling complex sites which is based on a mathematical model for controlling the water cooling of a rotary mold in TIA Portal software using an S7-1200 microprocessor controller. Presents the structure and user interface of the program. The program blocks of the rotary mold, as well as the section of water and air cooling are developed, which include design and thermophysical parameters necessary for calculating according to the mathematical model. In this way, the replacement of any of them with a similar one with modified parameters is possible without making changes to the program structure. The program can be used to debug control algorithms.
How to use neural network and web technologies in modeling complex technical systems
Authors: Semenenko M G , Kniazeva I V , Beckel L S , Rutskiy V N , Tsarev R Yu , Yamskikh T N , Kartsan I N 
Published: June 2019

Abstract
This paper discusses the problem of integrating modern methods of forecasting and modeling complex technical objects into the learning process. As an example, the problem of solving a system of ordinary differential equations is considered, which has significant practical application. In particular, solving a system of differential equations can be an essential part of patents. The neural network method to solve this problem by using Matlab simulation software and visual modeling tool Simulink is considered. Efficient cloud-based solution to ordinary differential equations is presented.
Optimization of groupoil refineries on the example of production of alkyl gasoline regarding technological process of sulphuric acid alkylation
Authors: Khakimov R A , Shcherbo N S 
Published: June 2019

Abstract
The article describes the task of optimizing the process of sulfuric acid alkylation as part of a group of plants for the production of alkyl benzine. The main methods and approaches to solving this problem from the point of view of real-time optimization (RTO) are presented. A modified method is proposed in the form of a multi-model approach and decomposition of the original optimization problem into local ones with a sequential solution. To test the method, an analytical model of the sulfuric acid alkylation process was used, its evaluation was carried out and the problem of maximizing alkyl benzine was solved using the Hook – Jeeves algorithm in Matlab. The results of the solution were compared with the real historical data of the process and confirmed the operability of the solution.
Model of continuous production of fine silicon carbide
Authors: Kuzevanov V S , Garyaev A B , Zakozhurnikov S S , Zakozhurnikova G S 
Published: June 2019

Abstract
A detailed analysis of heat and mass transfer processes and chemical transformations in a high-temperature gas flow with solid particles is a very difficult task. Using the phenomenological approach, the authors succeeded in obtaining a closed system of equations, the solution of which allows us to determine the main parameters of the stationary process for the production of silicon carbide. It is assumed that the implementation of two technological conditions: maintaining the required temperature level of the system “fluidizing gas - solid particles” in the production process and the continuous removal of both the final product - silicon carbide, and small unreacted particles. Variant calculations were carried out with the determination of the parameters of the continuous process for the production of fine silicon carbide, in particular, the optimal ratio of the initial sizes of carbon-containing particles and SiO2
particles and the maximum possible yield of the final product. The qualitative agreement of the calculation results with the data obtained in experiments with periodic loading of reacting components is shown.
Analysis of the cutting tool for the destruction of snow–ice formations on road pavement
Authors: Lysyannikov A V , Zelykevich R B , Bezborodov Yu N , Lysyannikova N N , Egorov A V , Kaizer Y F 
Published: June 2019

Abstract
The paper presents an analysis of the cutting tool structures for the destruction of frozen soils and snow-ice formations. The basic parameters (geometry and material) taken into account when creating cutting tools are revealed which are as follows: the influence of cutting speed on the durability of the cutting tool and cutting force, the optimal cutting angles and the layout of the cutters. The main advantages of using disc cutters in the design of ice-breaking equipment are presented. They allow you to replace the sliding friction of the cutting edge with the traditional rolling friction tooth (the disc rolls along the face). As a result, the tool life is increased, dynamic loads on the working body are reduced when meeting with the inclusions, since the contact of the cutting edge with the inclusions at the initial moment will be point, and the speed will decrease as it is immersed in the array, therefore, the load on the cutting tool will increase slowly.
The development strategy of the environmental safety of the electric power complex
Authors: Gibadullin A A , Gilts N E , Romanova Ju A , Romanova Ir N , Bahretdinova Kh A 
Published: June 2019

Abstract
Consideration of the environmental policy of the electric power complex is becoming relevant at the present time, since most of the power plants were commissioned more than 40-50 years ago, while technological modernization and updating of production capacity did not occur. As a result of the analysis, it was revealed that the growth in the production of electric energy is practically not observed, while the volumes of consumption of coal and gas in the production of electric energy do not change, the use of fixed production assets is increased, as a result of which the standard period of use of the equipment is exceeded. Emissions of pollutants are slightly reduced only by categories of solid waste and sulfur dioxide, emissions of nitrogen oxides do not change, and emissions of carbon oxides increase. The work proposed a mechanism for the development of environmental safety of the electric power complex, containing directions for monitoring the technical condition of power equipment, introducing technical and technological re-equipment of generation facilities, assessing the level of reproduction of fixed production assets, determining the resource dependence of generation facilities and measures for organizing and managing the production process.
Prospects for development of small innovative mechanical engineering enterprises on the territories of advanced development
Authors: Ogloblin V A , Malanina Yu N , Vikhorev V G , Vikhoreva M V 
Published: June 2019

Abstract
Small innovative mechanical engineering enterprises are extremely important for the development of the Russian economy. This article discusses the different points of view on the issues of small enterprises, machine-building organizations and innovative enterprises. The analysis of the obtained problems is carried out and essential ones are selected from the point of view of the maximally hindering the successful development of small innovative mechanical engineering enterprises. Consideration of the conditions of the territories of advanced social and economic development showed that only one of the selected problems is being solved. It is a high level of taxation. The authors propose to expand the functionality of the territories of advanced development through the use of personnel marketing, the establishment of a business school and a consulting center, which will create truly favorable (but not excessive) conditions for the development of small innovative mechanical enterprises on the territories of advanced social and economic development.
Robust heart rate estimation using combined ECG and PPG signal processing
Authors: Zaretskiy A P , Mityagin K S , Tarasov V S , Moroz D N , Kuraleva A S 
Published: June 2019

Abstract
Heart rate variability (HRV) from recorded electrocardiograms (ECG) is a well-known diagnostic method for the assessment of autonomic nervous function of the heart, which is widely used to predict clinically relevant outcomes in the critical care setting, to risk stratify patients, and predict outcomes such as mortality. The morphological variations in the ECG waveform and the high degree of heterogeneity in the QRS complex often make it difficult to identify R waves, which may preclude the accurate analysis for HRV. Photoplethysmographic (PPG) signal can provide information about both the cardiovascular and respiratory systems and have extremely high degree of correlation with ECG during cardiac cycle. In this paper, we developed robust algorithm for high-resolution inter-beat waveform extraction using combined ECG and PPG analysis, which is highly needed for accurate HRV estimation. The simulation results showed high performance for inter-beat waveform detection in different cases that identifies missing/extra peaks in the QRS detection algorithm.
Research of methods for design of regression models of oil and gas refinery technological units
Authors: Bukhtoyarov V V , Tynchenko V S , Petrovsky E A , Dokshanin S G , Kukartsev V V 
Published: June 2019

Abstract
The problem of efficient computational models design for control and scheduling problems in terms of oil and gas refinery column distillation units is discussed in the paper. Such efficient computational models can be constructed in the form of fast static regression models supplemented with dynamic models of measurement and input channels. The effectiveness of methods for constructing fast static regression models is examined in the paper. The input parameters for such regression models are determined. It is proposed to use parametric optimization methods for such models. A preliminary study showed the possibility of using an evolutionary genetic algorithm. Numerical studies were performed using data from column distillation units. The efficiency of using the methods of additional parametric optimization is shown.
Developing the method of analyzing the toxicity of the polymer teeth implant structures for the orthopedic dentistry
Authors: Pen V R , Chijov Y V , Levchenko S I , Pen O V , Mascadynov L E 
Published: June 2019

Abstract
A conductometric analysis method is in order to analyze the toxicity of PMMA products. A study is conducted on the dependency of the electric conductivity of the monomer water solution on concertation. A series of equations is derived to link the concentration of monomers with the respective water solution’s conductivity.
Risk-based forecasting methods of knowledge-intensive product life-cycle resource provision
Authors: Grosheva P Yu , Yudin A V , Myakishev Yu D 
Published: June 2019

Abstract
The paper is dedicated to the development of methods for predicting risk-based lifecycle resource provision in science-intensive projects. This method of whole-cycle prediction of changes in resource provision for science-intensive projects, which embraces risk factors, estimates appropriate real volumes of resource provision needed for engineering and producing science-intensive goods. It uses adaptive methods to estimate resource provision based on statistical data that is obtained at each phase of the project’s life cycle. The method enables prognosis of appropriate resource provision levels at different phases of the science-intensive project with consideration of risk factors. This method implies PC calculation. Minimal use of expert estimates is its crucial characteristic, as it enables automated computation.
Towards reliable named entity recognition in the biomedical domain
Authors: Giorgi John M , Bader Gary D 
Published: June 2019

Abstract

Motivation
Automatic biomedical named entity recognition (BioNER) is a key task in biomedical information extraction. For some time, state-of-the-art BioNER has been dominated by machine learning methods, particularly conditional random fields (CRFs), with a recent focus on deep learning. However, recent work has suggested that the high performance of CRFs for BioNER may not generalize to corpora other than the one it was trained on. In our analysis, we find that a popular deep learning-based approach to BioNER, known as bidirectional long short-term memory network-conditional random field (BiLSTM-CRF), is correspondingly poor at generalizing. To address this, we evaluate three modifications of BiLSTM-CRF for BioNER to improve generalization: improved regularization via variational dropout, transfer learning and multi-task learning.

Results
We measure the effect that each strategy has when training/testing on the same corpus (‘in-corpus’ performance) and when training on one corpus and evaluating on another (‘out-of-corpus’ performance), our measure of the model’s ability to generalize. We found that variational dropout improves out-of-corpus performance by an average of 4.62%, transfer learning by 6.48% and multi-task learning by 8.42%. The maximal increase we identified combines multi-task learning and variational dropout, which boosts out-of-corpus performance by 10.75%. Furthermore, we make available a new open-source tool, called Saber that implements our best BioNER models.

Availability and implementation
Source code for our biomedical IE tool is available at https://github.com/BaderLab/saber. Corpora and other resources used in this study are available at https://github.com/BaderLab/Towards-reliable-BioNER.

Supplementary information
Supplementary data are available at Bioinformatics online.