bluuebunny/crossref_metadata_2025_split huggingface dataset:
Outlet facility to pass coal flow to armored face conveyor
Authors: Nikitenko S M , Khudyntsev E A , Kizilov S A , Korolev M K 
Published: August 2021

Abstract
The authors review the international experience in thick coal seam mining. Advantages and disadvantages of multi-slice and full-seam longwall mining technologies are compared. The low-efficiency multi-slice longwall mining is little used and is being replaced by the full-seam longwall top coal caving technology with undercut and with top coal disintegration under the physical effect of overburden pressure. In the recent decade, the longwall mining systems used in top coal caving have been given additional functions connected with control of coal extraction above and behind the powered roof support. The authors have examined the patent documentation and invention activity in the field of the LTCC methods and equipment in the top coal mining countries. This paper describes the revealed trends in engineering facilities capable to enhance efficiency of longwall top coal caving in mining of thick coal seams. Different type feeders are described, and recommendations on their application are given.
Greenhouse gas emissions inventory in a coal mining region
Authors: Tailakov O V , Zastrelov D N 
Published: August 2021

Abstract
The estimate of greenhouse gas (GHG) emissions at the regional level was carried out. The volumes of greenhouse gas emissions were set aside by sectors “Power generation”, “Industrial processes and products use”, “Agriculture, forestry and other options of land use”, “Wastes”. The possibilities of reducing GHG emissions in the “Power generation” sector by replication of coal mine methane (CMM) processing technologies in modular boiler-houses and gas-generating container type stations aimed for thermal and electric power production are considered.
Improvement of the technology of resistance butt welding of rail strings for access railway lines
Authors: Kozyrev N A , Shevchenko R A , Kryukov R E , Usoltsev A A , Prudnikov A N 
Published: August 2021

Abstract
To ensure the quality of the welded rail joint, a study of the level of contamination with non-metallic inclusions of E76KhF rail steel (base metal and weld seam) was carried out. It was found that the predominant type of nonmetallic inclusions in welded joints in all studied samples are point oxides. It is shown that the modes of resistance butt welding do not affect the contamination of the samples.
Improvement of rail strings durability used for access railways at mines
Authors: Kozyrev N A , Shevchenko R A , Usoltsev A A , Kryukov R E , Prudnikov A N 
Published: August 2021

Abstract
The study of the structure of welded joints of E76KhF rail steel at new modes of electric contact welding with the use of additional treatment with electric current was carried out. It was found that the structure of lamellar pearlite prevails in the weld zone. In the course of the study, the optimal welding parameters were determined, due to which it is possible to obtain the required favorable material structure.
Use of natural draught for improvement of airing efficiency in the oil mine production unit
Authors: Nikolaev A V , Klishin V I 
Published: August 2021

Abstract
A method of airing the oil mine production unit, in which a heated oil reservoir is separated from the working area with a thermal barrier, is proposed. The evaporator of the air conditioning system will cool the air in the working area, and the heated air will be “blown out” from the condenser behind the thermal barrier and further through the well to the surface. In this case, two sections will be formed: one with heated air and the other with cooled air flows, thus causing a natural draught that contributes to airing. In this case, in addition to providing comfortable working conditions in the working area of the production unit, it will be possible to reduce energy costs for oil mine airing.
Design sensitivity analysis in the kinematics of the 4SS-axle guiding mechanism with Panhard bar
Authors: Alexandru C 
Published: August 2021

Abstract
This work deals with the design sensitivity analysis in the kinematics of the vehicle rear axle guided by four points - on four spheres (so called 4SS), with Panhard bar. The geometric parameters that define the kinematic scheme of the axle guiding mechanism are considered in this study, which aims to identify the influence of these parameters on the specific kinematic functions. The purpose is to achieve a separation of geometric parameters depending on their influences on the objective functions to be optimized from a kinematic point of view, so as to simplify the process of effective optimization, by taking into account (as design variables) only the main parameters.
Compression testing of samples printed on Delta and Cartesian 3D printer
Authors: Ratiu M , Prichici M A , Anton D M , Negrau D C 
Published: August 2021

Abstract
This paper presents a short part of a larger research and consists in the investigation of the compression behavior of samples printed on two 3D printers, one Delta and one Cartesian, from three types of the commonly used materials, Polylactic acid (PLA), Carbon fiber PLA (CF-PLA), and Polyethylene terephthalate glycol (PETG). After a specific introduction regarding the subject, the printing parameters used for printing the samples are exposed, in a table, followed by a paragraph on the compression testing, both with general and particular information, on this case. The research being under development, the first set of results obtained is presented, further tests and analysis following in order to realize a comprehensive characterization of the 3D printed materials’ behavior.
Oil condition monitoring, an AI application study using the Classification Learner Technics
Authors: Grebenişan G , Salem N , Bogdan S , Negrău D C 
Published: August 2021

Abstract
The present study uses an estimation and prediction method and characteristic techniques to predict the life of the lubricating oil based on data collected directly from the mechanical or hydraulic system. The collected data is part of a complex data set with 19 lubricating oil status parameters resulting from online measurements on an experiment stand built and operated under conditions similar to those in a mechanical machining company. The data set was collected during six months, continuously validating the data in several 258646 instances for 19 operating parameters. To predict the values of the next steps of a sequence, the Classification Learner Technics has been approached by support vector machines (SVM) models. The answers obtained characterize and equate the training sequences with values changed by a step of the time, and this means that at each stage of the input sequence, the data structure learns to predict the output value at the next time step. To prevent divergence of the forecast, it was necessary to standardize the training data so that it will achieve a zero mean and unit variance. Also, the test data set has been normalized in the same way as training data.
Experimental studies regarding the thermal operating regime for SCR catalysts of heavy-duty commercial vehicles
Authors: Capătă D M S , Popa M F , Dan T , Burnete N 
Published: August 2021

Abstract
SCR, selective catalytic reduction, is the most efficient method for treating nitrogen oxides – one of the main pollutants of internal combustion engines. The SCR system involves the injection of a reductant (the solution AdBlue) in the exhaust gas flow, the reduction of the oxides being achieved in the catalyst’s interior [1,4,6]. The operating limits of the SCR system are given by need to maintain the temperature conditions for the injected solution as well as the catalyst and its internal components (oxygen and temperature sensors, reductant injector) [2]. Overheating the AdBlue injectors may have a major influence for the operation of the SCR system, the deposits of the decomposed solution within the injectors leading to the system’s out of use. Thus, maintaining an optimum thermal regime by cooling the AdBlue injectors becomes a required solution for a good functioning of the entire system. The paper presents experimental studies in relation to the thermal evolution of SCR catalysts on heavy-duty commercial vehicles in different turnover situations as well as an analysis of the measured values.
Development of a data acquisition system for a vacuum thin film deposition equipment
Authors: Ghincu R. V. , Ţarcă D.I. , Moldovan O. A. 
Published: August 2021

Abstract
Digital data acquisition is a must for precise data collection, and monitoring systems should be present on all modern equipment. This article focuses on improving the vacuum deposition systems already present in the SMARTMAT laboratory at the University of Oradea. Previous advancements have been made in installing vacuum chambers and digitally monitoring the vacuum level with the final objective of having a complete and versatile vacuum deposition system: magnetron sputtering, RF sputtering, and resistive heating. This article proposes a complex monitoring system based on modern sensors, data acquisition modules, and a processing and storage unit capable of monitoring all the vacuum deposition steps regarding the resistive heating system. The monitoring system can show real-time charts and store all the data in a database to be further used in modeling. As we already have a digital monitor system for the vacuum level, we have developed a monitoring system for temperature, voltage, and current, thus completing the design and controlling the whole evaporation process.
Control system for FDA deposition using a CNC milling machine
Authors: Negrau D C , Grebenisan G , Ratiu M , Anton D M 
Published: August 2021

Abstract
This paper presents the command and control part of a 3D printhead, the command and control that is made by combining the PLC of a CNC milling machine with the electrical assembly of an extruded head for FDA(Fusion Deposition Adhesion) processing.
The command and control part of an extruder head is presented. On the same, the paper shows how to connect to the PLC of a CNC and presents the use and operation of an extruder block for FDA machining on CNC
Researching particulate matter characteristics for mitigating health risks generated by road vehicles
Authors: Andrei L , Chindea V , Baldeăn D L 
Published: August 2021

Abstract
Research of PM (particulate matter) emissions is very important in crowded areas with high values of road traffic and industrial sites because may affect the health significantly. To mitigate the health risks generated by motor vehicles, the present paper shows the applied research on this topic with the practical results. The first important objective of the paper is to study the characteristics related to particulate matter in emissions generated by a car in actual road traffic test. The second objective is to compare the results from cold and warm operation regimes. It is important to know the trendline of PM emissions during operation due to their influence upon health. The PM amount is influenced by engine speed, fuel consumption and other operational factors. High levels of PM were recorded at 1500 rpm because it was the upper point in which the gear ratio has been changed.
Autonomous vehicles: classification, technology and evolution
Authors: Scurt F B , Vesselenyi T , Tarca R C , Beles H , Dragomir G 
Published: August 2021

Abstract
In the context in which most industries focus on digitalization and automation of production processes and on developing new products, the car manufacturing industry is advancing significantly. The automotive industry together with the IT field, are at an advanced stage in terms of the structure of autonomous vehicles, developing new technologies. The objective of this paper is to present the current state of technology regarding autonomous vehicles. Aspects regarding the devices and technologies used in the construction of these vehicles are approached, but there is also information regarding the way of classifying them according to the driver’s assistance level. In addition, some information about the evolution of automated vehicle development is presented.
The variation of the turnover and its effect on the exploitation risk
Authors: Stoenoiu Carmen Elena , Serban Florica Mioara , Cristea Ciprian 
Published: August 2021

Abstract
Through this study, an analysis was made of the relationship between the result, the volume of activity and the cost structure for a multiproduct enterprise. It was considered that enterprises are constantly facing the need to explore and exploit new production possibilities and for this they need to permanently reconfigure their product portfolio. In order to achieve this, the company must have a control of fixed and variable costs that will allow it to choose the volume of activity correlated with the internal characteristics and information on the market. The statistical calculation was used to calculate the risk associated with turnover through the covariance coefficient. As the size of the risk depends on the company’s ability to control the cost structure and to act to reduce possible volume variations, turnover was considered to be the most important indicator that should be given high importance and should be constantly monitored. Thus, from the study it can be seen that the change in turnover determines the change in the risk coefficient.
Models for measuring the performance of an organization
Authors: Mitrea-Curpanaru G G L 
Published: August 2021

Abstract
The complexity of managing an organization today requires that managers be able to measure performance and analyze the impact of different dimensions of performance on organizational excellence. Many experts in the field have started talking about the importance of measurement as a means of communication. The customer can provide information about the physical quality - the appearance of the product, about the functionality and performance of the product, characteristics that are also related to quality. If the product is used in the performance of a service, then the quality of this service is directly proportional to the quality of the product. A mixed performance management model is concerned with both inputs and outputs. The selection of the best model to improve performance is based on a self-assessment process. Organizational excellence is measured by the organization’s ability to achieve and maintain exceptional results simultaneously for all stakeholders.
Line follower mobile robots, prototypes of robots and functional of mobile robots
Authors: Anton D M , Szabo S E , Mociar C A , Iuhas A F 
Published: August 2021

Abstract
This study presents the working principle of line follower robots. This study starts from the description of the components used in robots of this type to the explanation of the functions used to program robots in the C ++ programming language and the use of multiple cases and exceptions in the programming of robots of this type, because they can be used in different ways and domains and for these, the multiple working characteristics must be determined from the beginning. The study establishes the way these robots work, for a future project to create a family of disinfection robots with UV-C neons.
Spectroscopic study of Cu, Mn, Cd as heavy metals in agricultural samples
Authors: Fayek Noura , Tawfik Walid , Khalafallah Ahmed , Hamed Sawsan , Mousa Wafaa 
Published: August 2021

Abstract
Heavy elements represent a source of toxicity when accumulate in the soil and be transmitted to plants, animals and humans through food chains that may affect the human and the animal health. In this study, environmental samples, vegetable samples (Cabbage, Mallow, Turnip) and soil, were collected from Qaha in Qaliubia in Egypt then subjected to investigate the availability of toxic metals such as copper, manganese and cadmium using flame atomic absorption spectroscopy (FAAS) technique. We have found Cu, Mn and Cd in cabbage with concentrations around 25.28 ±1.263 ppm, 103.83 ±5.19 ppm and 0.792 ±0.0396 ppm, respectively. The Cu, Mn and Cd concentrations in Mallow were found to be 35.26 ±1.76 ppm, 142.72 ±7.14 ppm and 1.3 ±0.0649 ppm respectively. Also, the concentrations of Cu, Mn and Cd in Turnip have achieved 29.29 ±1.45 ppm, 79.33 ±3.97 ppm and 1.99 ±0.099 ppm respectively. For soil, the concentrations of Cu, Mn and Cd were 2.4 ±0.12 ppm, 4.8 ±0.24 ppm and 1.75 ±0.088 ppm respectively. It was concluded that the pollution index values for Cu, Mn and Cd in soil were 0.024 ±1.2 ×10−3, 0.01 ±5.49 ×10−4and 0.58 ±0.029 respectively. The pollution index values in cabbage for Cu, Mn and Cd were 0.346 ±0.017, 15.708 ±0.785 and 3.96 ±0.198 respectively. The pollution index values for Cu, Mn and Cd in Mallow were 0.073 ±0.024, 21.59 ±1.08 and 6.5 ±0.32 respectively. The pollution index values for Cu, Mn and Cd in Turnip were 0.401 ±0.019, 12 ±0.6 and 9.95 ±0.5 respectively. The observed new results are important to monitor the environmental pollution in the studied samples which have an impact on human health.
Laser interferometric investigations on some physical properties of Natural bio-gases
Authors: Ghazy R , Moustafa G , El-Mekawey F , Abdelgawad S.A. 
Published: August 2021

Abstract
In this work a Mach-Zehnder interferometer system [MZIS] was constructed and illuminated by using [He-Ne] laser. And a gas flow system [GFS] was strictly designed and constructed that was connected to [MZIS], this gas flow system was controlled by both temperature range between 313 to 348 K and pressure range from 60-90 cm-Hg. The [MZIS] and [GFS] were linked and used for determining the refractive index of Methane [CH4] and Nitrogen [N2] gases as a function of pressure n[p]T, and temperature n[T]P. The variety of refractive index of gases regarding the pressure factor at steady temperature (dn/dp)T was resolved. Likewise, the variety of refractive index of gases regarding to temperature at steady pressure factor [dn/dT]P was determined. By applying both Maxwell’s and Clausius-Mostii equations, some physical parameters of Methane and Nitrogen gases, which related to refractive index, like as optical permittivity, dielectric susceptibility, Specific refractivity, Molar refractivity, and Molecular radius were estimated. In addition, the volume expansion values of the investigated gas samples were evaluated. Theoretically, by using Gaussian 09 program we had got some chemical parameters for Methane and Nitrogen.
Analysis of the relationship between microstructure and mechanical properties of intercritically annealed 3.5Mn steel
Authors: Kang Tao , Zhao Zhengzhi , Li Feng , Zhang Lei , Hou Xiaoying 
Published: August 2021

Abstract
The paper mainly studies intercritically annealed medium manganese steel, which only contains 3.5 wt% Mn. After annealing at different temperature, the microstructure of the experimental steel is composed of ferrite and austenite with different morphology. With the increase of intercritical annealing temperature, a small amount of martensite appears in the microstructure due to the decrease of austenite stability, and the proportion of retained austenite decreases. When the experimental steel is annealed at 700 °C, the best matching of strength and plasticity is obtained, which benefits from the appropriate proportion of austenite with different stability. The results show that excellent mechanical properties of 3.5 wt% Mn steel can be achieved by adjusting the intercritical annealing process.
Low frequency coherent Raman spectroscopy
Authors: Bartels Randy A , Oron Dan , Rigneault Hervé 
Published: August 2021

Abstract
We revisit low frequency coherent Raman spectroscopy (LF-CRS) and present a unified theoretical background that provides consistent physical pictures of LF-CRS signal generation. Our general framework allows to compute the signal to noise ratio in the multitude of possible LF-CRS, and more generally CRS, experimental implementations both in the spectral and time domain.
Joint ptycho-tomography with deep generative priors
Authors: Aslan Selin , Liu Zhengchun , Nikitin Viktor , Bicer Tekin , Leyffer Sven , Gürsoy Doğa 
Published: August 2021

Abstract
Joint ptycho-tomography is a powerful computational imaging framework to recover the refractive properties of a 3D object while relaxing the requirements for probe overlap that is common in conventional phase retrieval. We use an augmented Lagrangian scheme for formulating the constrained optimization problem and employ an alternating direction method of multipliers (ADMM) for the joint solution. ADMM allows the problem to be split into smaller and computationally more efficient subproblems: ptychographic phase retrieval, tomographic reconstruction, and regularization of the solution. We extend our ADMM framework with plug-and-play (PnP) denoisers by replacing the regularization subproblem with a general denoising operator based on machine learning. While the PnP framework enables integrating such learned priors as denoising operators, tuning of the denoiser prior remains challenging. To overcome this challenge, we propose a denoiser parameter to control the effect of the denoiser and to accelerate the solution. In our simulations, we demonstrate that our proposed framework with parameter tuning and learned priors generates high-quality reconstructions under limited and noisy measurement data.
G-Computation and Agent-Based Modeling for Social Epidemiology: Can Population Interventions Prevent Posttraumatic Stress Disorder?
Authors: Mooney Stephen J , Shev Aaron B , Keyes Katherine M , Tracy Melissa , Cerdá Magdalena 
Published: August 2021

Abstract
Agent-based modeling and g-computation can both be used to estimate impacts of intervening on complex systems. We explored each modeling approach within an applied example: interventions to reduce posttraumatic stress disorder (PTSD). We used data from a cohort of 2,282 adults representative of the adult population of the New York City metropolitan area from 2002–2006, of whom 16.3% developed PTSD over their lifetimes. We built 4 models: g-computation, an agent-based model (ABM) with no between-agent interactions, an ABM with violent-interaction dynamics, and an ABM with neighborhood dynamics. Three interventions were tested: 1) reducing violent victimization by 37.2% (real-world reduction); 2) reducing violent victimization by100%; and 3) supplementing the income of 20% of lower-income participants. The g-computation model estimated population-level PTSD risk reductions of 0.12% (95% confidence interval (CI): −0.16, 0.29), 0.28% (95% CI: −0.30, 0.70), and 1.55% (95% CI: 0.40, 2.12), respectively. The ABM with no interactions replicated the findings from g-computation. Introduction of interaction dynamics modestly decreased estimated intervention effects (income-supplement risk reduction dropped to 1.47%), whereas introduction of neighborhood dynamics modestly increased effectiveness (income-supplement risk reduction increased to 1.58%). Compared with g-computation, agent-based modeling permitted deeper exploration of complex systems dynamics at the cost of further assumptions.