bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling of a measurement analog channel of a hardware and software system for researching medical electrodes in Matlab
Authors: Andreev S A , Kim V L 
Published: November 2019

Abstract
There is an urgent need to improve system design of calibration equipment which allows us to determine parameters and characteristics of medical electrodes. Technical characteristics of a hardware and software system for researching medical electrodes are depending on amplitude–frequency responses of a measurement analog channel. This channel consists of an instrumentation amplifier, a cascaded chain of operational amplifiers including programmable-gain amplifiers and a low-pass filter, therefore calculating amplitude–frequency responses of a measurement channel is a multiparameter problem. This problem can be solved efficiently by simulation with help of Matlab. Simulink-model of a hardware and software system for researching medical electrodes is suggested. The model provides the correct design of a measurement channel. It is subject to design criteria such as accuracy of frequency band and a reduction in gain.
Automation of the process and mathematical processing of the results of annealing the hemispherical resonators
Authors: Dolapchi S M , Denisova O A 
Published: November 2019

Abstract
Isotropy of physical properties and strength of quartz glass makes it a good material for use as resonators in aircraft navigation systems, in complex optical systems and automation elements. To form a solid surface, it is necessary to create siloxane bonds, consisting of silicon - oxygen compounds forming the structural unit of quartz glass of the SiO4 tetrahedron. For this purpose, an automated resistance furnace operating under the control of a personal computer was developed, and for processing of the results of surface quality, a computer program «Method of lying drop» written in Delphi 7.0 was used. The results of twelve measurements for each temperature are as follows: annealing temperature, mean square deviation, mean square sampling error, the value of the wetting angle, confidence interval, confidence probability, student coefficient. The calculation results can be displayed on the screen or in an external file. The program interface is convenient and clear.
Synthesis of multi-phase zone rectifiers with coupled voltage systems
Authors: Myatezh S V , Ivanov V V , Rozhkova M V 
Published: November 2019

Abstract
The capabilities of simple positions of the structural synthesis method are demonstrated by the example of creating a two-zone three-phase rectifier by aggregating three single-phase rectifiers taken as a basis. The further improvement of the circuit solution in accordance with the provisions of this method allowed, through the creation of an additional electrical node, making the transition from an unbound three-phase voltage system, operating in a two-zone three-phase rectifier to a six-phase coupled voltage system. This was reflected оn the adjustment of the regulating characteristics of the rectifier and it improved a number of its indicators.
Measurer and recorder of electrical signals for electrical geophysical surveys
Authors: Zhmud V A , Tereshkin D O , Semibalamut V M , Dimitrov L V , Roth H 
Published: November 2019

Abstract
To conduct research by electrical prospecting, instruments for measuring and recording electric fields with unique characteristics are necessary. Such recorders should work with signals that vary over a very wide dynamic range, as well as over a wide frequency range. The acquisition of ready-made functionally complete recorders for these purposes is impossible due to the lack of such devices. These devices must work effectively both in standalone mode and in telemetry mode. High accuracy of data binding to absolute time is very important. A set of requirements for these devices requires the development and manufacture of recorders.
Patterns of recovery and injection wells in deposits of high-viscosity oil with reservoir decompression zones
Authors: Almukhametova E M , Kotenev Yu A , Sultanov Sh Kh , Safiullina A R 
Published: November 2019

Abstract
The issue of patterns of injection and recovery wells in zones of non-uniform permeability reservoirs is discussed by many researchers. The researchers aim to identify the influence of well patterns in reservoir zones with different permeability on the efficiency of oil recovery. This issue is particularly acute for systems maintaining reservoir pressure. The location of injection wells in low-permeable zones, and recovery wells - in high-permeability zones helps increase the coverage of the impact. Moreover, even in the conditions of a partially developed reservoir, transformation of the existing development system has significant potencies for increasing the ORC. One more crucial problem is the study of the effect of extensive highly permeable inclusions (faults, zones of reservoir loosening) on the effectiveness of regular development systems.
About necessity to regulate and automate processes in the quality management systems of the mechanical engineering branch
Authors: Kovalenko V V , Bobkov V N , Kovalenko V V 
Published: November 2019

Abstract
The article analyzes the effectiveness of the quality management systems that operate at a number of enterprises. The main problem in most cases is determined as weak usage of the process approach in business-process management. To eliminate this problem, the authors offere to apply a process approach in the quality management systems of engineering enterprises for the purpose of receiving actual processes. Based on these processes and modern software tools, regulatory documentation is generated with the subsequent transition to the implementation of executable processes or BPM-systems (Business Process Management System). The regulation of business processes provides employees with regulatory documentation, and application of executable processes eliminates the “human” factor in process management. In addition, it is possible to monitor performance indicators and use the Deming cycle to continuously improve product quality. The practical realization of the project has been done in the framework of the Russian business-modeling software “Business Studio” and “Elma”.
Compiler-compiler of multi syntax programming languages for creating N-version software
Authors: Kuznetsov A S , Tsarev R Y , Yamskikh T N , Knyazkov A N , Pupkov A N , Laleye F A A 
Published: November 2019

Abstract
Ensuring the reliability of the software has become increasingly complex and challenging. The most important problem is providing failure-free software operation to prevent financial losses or machinery breakdown. It can be solved with N-version programming which requires increased costs due to the use of redundant software components. In this paradigm, redundancy refers to diversity of software components. This paper discusses the implementation of software components in various languages with different syntax. We propose an efficient and time-reducing approach to the development of a multi-syntax programming language compiler. The technique of compiler parsing is based on the existing flex and bison specifications. The proposed approach makes it easier to detect errors in multi-syntax N-version software solutions, as well as reduce the likelihood of their occurrence due to the use of an automated tool, which is crucial for its implementation in an industrial setting.
Solving the problem of trucking optimization by automating the management process
Authors: Kukartsev V V , Tynchenko V S , Chzhan E A , Kukartsev V A , Boyko A A , Korneeva A A , Bukhtoyarov V V 
Published: November 2019

Abstract
This article discusses the solution to the optimization problem associated with trucking by automating the management process, namely the creation of software. The authors consider the main problem, because of which there is a need to automate processes. The introduction of software into the organization will help to maximize freight profit and fully automate the components that make up the process of transportation. Characteristics of the software and the depiction of interface are presented.
Assessment of the uncertainty factors in computer modelling of an agricultural company operation
Authors: Zaporozhtseva L A , Sabetova T V , Fedulova I Yu 
Published: November 2019

Abstract
The design of management decisions is one of the most difficult and most creative processes in all managerial work. It requires thorough understanding of the current situation and prospects of both the company and its environment. The article considers the problem of determination of the degree of influence of uncertainty factors on the performance of an agricultural company. After carrying out a schematic factor analysis of the financial results of the agricultural company, the authors selected parameters such as crop yields and average selling price, for analyzing the degree of exposure to uncertain factors. Since both the selected parameters are affected by a large number of certain factors and factors uncontrollable for the company’s management, the authors find it unacceptable to apply factor analysis to them. Instead, the suggestion is made concerning grouping all the factors on the basis of their certainty and definition of the influence degree for each group. As a result, the proposal was made for the projecting method, such as economic and mathematical modeling, to use the data from both the firm being the subject of modeling, and from the similar enterprises available from the regional Department of Agriculture. In this case, the accuracy of the forecast will be much higher, besides, it can be developed in 3 or 5 probability scenarios.
Estimation of the change in the gas flow rate from the surface of a tungsten plate under pulsed heat load
Authors: Lazareva G G , Arakcheev A S , Popov V A , Maksimova A G 
Published: November 2019

Abstract
The work is devoted to the numerical implementation of the tungsten evaporation process model. The tungsten evaporation model is based on solving the two-phase Stefan problem for temperature in the sample area and gas dynamics equations over the sample. The calculation results for parameters corresponding to those used on the BETA facility at BINP SB RAS show that it is possible to use the boundary homogeneous conditions of the Neumann for the velocity when setting the gas density on the plate surface.
The grid codes generation for solving problems of the cosmic plasma hydrodynamics on supercomputers
Authors: Sapetina Anna , Ulyanichev Ivan , Glinskiy Boris 
Published: November 2019

Abstract
In this paper an attempt is made to create a system for generating the parallel codes to simulate some astrophysical phenomena on modern computing architectures. A code construction scheme for the numerical solution of various problems of the cosmic plasma hydrodynamics is proposed using a knowledge base with an ontological representation of a given mathematical simulation area. The ontology of numerical methods and parallel algorithms and the ontology of parallel architectures and technologies together with the expert (inference) rules allow selecting an efficient numerical method, a parallel algorithm and a computational architecture for solving a necessary problem from the outlined domain. The corresponding program units that implement various stages of solving the problem on a chosen computational architecture are substituted into scheme of solving the problem constructed in this way. Program units can be based on both the author’s implementation and on calling various parallel libraries.
Gas-monodisperse dust mixtures in smoothed particle hydrodynamics: computing of stiff non-linear drag
Authors: Stoyanovskaya O P , Glushko T A , Okladnikov F A , Snytnikov V N , Snytnikov N V 
Published: November 2019

Abstract
Simulation the dynamics of gas-solid mixtures is crucial in many applications: chemical reactor design, evolution of circumstellar discs, etc. Such mixtures where gas is a carrier phase and solid grains are dispersed phase can be simulated as interpenetrating continuum media. The characteristic parameter of this problem is relaxation time between gas and dust velocities. In many applications this parameter varies significantly during the simulation (from small to unity). Moreover, the drag force can be non-linearly dependent on solids to gas relative velocity. These factors place high requirements on the numerical methods for such problems. We propose a novel non-iterative algorithm for Smoothed Particle Hydrodynamics for computing gas-solid mixtures with exchange momentum between phases. Forces (except drag force) are approximated explicitly, while drag force is linearized and velocity relaxation time is approximated explicitly while relative velocity is approximated implicitly. The algorithm was tested on dynamical problems for dusty gas mixtures. It was shown that in the developed algorithm for stiff nonlinear drag we can use temporal and spatial resolution independent of drag parameters.
The cuFFT code for N-body simulation
Authors: Prigarin Vladimir , Karavaev Dmitry , Protasov Viktor 
Published: November 2019

Abstract
The complexity of astrophysical processes lies in the joint consideration of components of various nature. For example, in the collision problem of galaxies, the three-dimensional dynamics of an interstellar gas and a stellar component is considered. The modeling of these components can be based on completely different classes of numerical methods. One possible solution to this problem is to use the Eulerian-Lagrangian approach, in which physical quantities are concentrated at material points, which is typical for the SPH (Smoothed Particle Hydrodynamics) method, and the forces are calculated on an adaptive grid attached to a system of material points. This approach uniformly takes into account both the dynamics of a continuous medium and discrete particles, and also eliminates a number of drawbacks inherent in the original method. The calculation of gravitational interaction is carried out by solving the Poisson equation for the gravitational potential. In this case, all particles are projected onto the computational grid and the potential values in each cell are already calculated on it. The solution of the Poisson equation for the gravitational potential is performed using the fast Fourier transform. The article describes the new cuFFT code Virtual Planetarium for modeling astrophysical objects based on the SPH method, supplemented by the Godunov method for calculating pressure and momentum flows between particles, and the fast Fourier transform method for solving the Poisson equation for the gravitational potential. The paper describes the rationale for the transition to such a computational model, kinetic and hydrodynamic approaches are described in detail. Simulation of the collapse of an isothermal gas cloud is performed. Method to reproduce the evolution of instabilities in form of two density arms is realized.
District-scale energy demand modeling and urban microclimate: A case study in The Netherlands
Authors: Mosteiro-Romero Martin , Maiullari Daniela , Collins Fiona , Schlueter Arno , Timmeren Arjan Van 
Published: November 2019

Abstract
District-scale energy demand models are powerful tools to understand complex urban areas, however these models generally use average weather data from rural locations, thus overlooking the effects of the urban context on the local climate. In order to analyze the effects of urban microclimate on space cooling demand, this paper uses microclimate simulation results from ENVI-met as inputs to a district-scale energy demand model, the City Energy Analyst (CEA), to assess the performance of a proposed masterplan for a new residential district in Almere, the Netherlands.
Modeling of mesoscale phenomena using WRF-BEP-BEM-CIM in a complex region
Authors: Labedens Sylvain , Scartezzini Jean-Louis , Mauree Dasaraden 
Published: November 2019

AbstractBecause of the global warming, urban planning strategies must be investigated to reduce building energy consumption and increase thermal comfort in urban areas. It is thus proposed in this study to use a mesoscale meteorological model to study the impact of multiple urban planning scenarios in the Canton of Vaud. The Weather Research and Forecast (WRF) model is used to conduct simulations. The urban parameterizations, Building Effect Parameterization + Building Energy Model + Canopy Interface Model (BEP-BEM-CIM), developed in previous studies are already integrated in the WRF model. We demonstrate that the models perform well in plateaued regions (<10% difference) but some important deviations (20%-30% difference) are noted in particularly complex regions with complex topography. Two possible improvements will be addressed in the future: there is a need to improve the topography representation in the model itself and other scenarios including the impact of future climate will also be assessed.
Urban climate scenario data for European cities
Authors: Remund Jan , Grossenbacher Urs 
Published: November 2019

Abstract
Climate change and the urban heat effect are expected to have a large influence on the energy consumption and thermal comfort of buildings. However, using meteorological data which incorporates effects of climate change and characteristics of cities is not currently a standard practice in building simulation. By default, data of nearby meteorological stations often outside cities are used. This may lead to important discrepancies between simulation results and actual energy consumption and/or indoor climate data for buildings in urban areas. These effects are analysed within building energy part of H2020 climate-fit.city project. First, adapted urban and future meteorological data modelled using the UrbClim model and standard meteorological data were compared. Second, these data were included within the Meteonorm software (version 7.3.2). This was carried out for current climates as well as for future scenarios (RCP 4.5 and 8.5, 2050) for the cities of Barcelona, Bern, Berlin, Bremen, Prague, Rome and Vienna. Like this Meteonorm includes a combination of urban and future climates accessible in a user friendly tool.
In a third step the urbanized TMY data sets generated by Meteonorm were used to simulate energy consumption, peak loads and indoor climate conditions with models of several typical buildings. In this comparison we show a simulation for a multi-family house for current and future climates. The whole-year simulation runs were compared to the reference scenario – the standard TMY (available in Bern and Vienna).
For current climates heating energy consumption is 10-25% lower within cities and cooling energy up to 60% higher (Barcelona). Even bigger changes are seen for future climates: Heating loads drop by up to 30% and cooling loads rise more than 100% (they are 2-3 times higher than heating loads in Barcelona by 2050).
Correlational study on thermal comfort and outdoor activities
Authors: Peng Zhikai , Wang Yi , Li Lisha 
Published: November 2019

AbstractThis research has investigated several correlation patterns between spatial behaviour and outdoor thermal comfort for urban spaces. An eight-hour field work of behavioural snapshots has been carried out at Market square, Cambridge, on a sunny day of May. The universal thermal climatic index (UTCI) was acquired from microclimate simulation in ladybug. The thermal-comfort zones were coupled with four featured behaviours: sitting, standing, strolling and walking. The results have shown a tendency toward occupying shady spaces in general. The canvas awnings have proved the correlation between comfort and behaviour. More interestingly, less comfortable areas appear to be acceptable for more than half of the observed groups with a 4°C increase in UTCI.
Aikido: Structuring data point identifiers of technical building equipment by machine learning
Authors: Stinner Florian , Neißer-Deiters Paul , Baranski Marc , Müller Dirk 
Published: November 2019

Abstract
Building automation and control systems (BACS) generate large amounts of data. Manual interpretation of the data, e.g. for identifying energy efficiency measures, is in many cases either too costly or too complex. In order to reduce the manual effort of building data analysis, it is necessary that the labeling of data points is human- and machine-readable. As there is currently no widely accepted standard for labeling, these labeling texts differ greatly. We developed an algorithm based on Natural Language Processing (NLP) that automates the translation of BACS metadata. In previous works, we developed a schema based on 40 other schemas for the designation of data points (BUDO Schema) that we use for the translation. The user labels data points suggested by our algorithm Aikido and checks the prediction in a browser-based GUI (key interface). In our case study, we use a dataset that comprises five different projects, each using its own schema for structuring the metadata of data points in BACS. After ten training labels, our algorithm achieved an accuracy of 0.87 across all data sets. This increased to 0.95 with 50 training labels. We show that the chosen approach is able to normalize the metadata of different schemas to transfer to a previously defined schema. Thus, the manual effort is decreased significantly.
Understanding the performance gap: a machine learning approach on residential buildings in Turin, Italy
Authors: Boghetti Roberto , Fantozzi Fabio , Kämpf Jérôme H , Salvadori Giacomo 
Published: November 2019

Abstract
Buildings account for the highest share of primary energy usage and greenhouse gas emission in the E.U. and U.S. [1], and most of this energy is used for space and water heating. Being able to gain a broader understanding of the gap between predicted and in situ measured thermal performance of buildings may, in a lot of cases, help reducing the energy consumption and, therefore, alleviating our pressure on the environment [2]. The aim of this research is to further investigate this performance gap and to evaluate the possibility of using machine learning algorithms to effectively predict the energy demand of buildings. For this purpose, a group of residential buildings in the city of Turin, Italy, is taken as case study: an estimation of their yearly heating demand is made using different machine learning algorithms, and their results are evaluated and discussed. The research showed that the use of machine learning resulted in a performance gap in line, if not lower, with the current literature. The reasons for this outcome, as well as possible future research directions are finally discussed.