bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design, construction and implementation of relative humidity and temperature climatic chamber for metrology laboratory
Authors: Malpica Gutierrez Johan S , Peña Ismael A Fernández , Martínez Santa Fernando 
Published: December 2021

Abstract
For the calibration of thermohygrometers it is necessary to have a means of generating temperature and relative humidity for this reason in this development we will build a climatic chamber which will generate and control these two magnitudes. For the generation of temperature a thermoresistance was used and the decrease of relative humidity was done through a silica gel trap through which the air inside the chamber is recirculated with the use of a vacuum pump. On the other hand, an ultrasonic humidity generator also known as fogger was used to increase the relative humidity. For the construction of the chamber, acrylic was used as the main material, since it is translucent and facilitates the visualization of the thermohygrometers’ indications. For the control of the process variables such as temperature and relative humidity, an Arduino card was used, which through PWM pulse width modulation, the control was performed achieving a variation of 0.3 °C and 2 %RH, which will be evaluated by an accredited laboratory in the characterization of isothermal media certified by ONAC, since it is in this way that the inhomogeneity, stability and thermal load of the medium, components that affect the uncertainty of the instruments under calibration, are evaluated. It should be remembered that this development was carried out in order to create an air medium with which temperature and relative humidity measuring instruments can be calibrated in the metrology laboratory VALIDACIONES Y METROLOGIA LM S.A.S., since it is in the process of growth and one of its main objectives is to be accredited in the magnitudes of temperature and relative humidity before the accreditation body in Colombia (ONAC), which is the entity that will finally give the technical approval to release the chamber and put it into operation.
Design of Distributed Substation High Voltage Electrical Equipment Online Monitoring System Based on Image Segmentation Technology
Authors: Lin Mingzhong , Fu Lei , Zeng Fanxing , Yang Guang , Sun Ming 
Published: December 2021

Abstract
As an important support mechanism for real-time monitoring and display of system frequency, harmonic voltage, harmonic current, three-phase voltage unbalance, voltage fluctuation and flicker, true power factor and other power quality parameters specified in national standard, especially for fast and accurate data processing and improving test frequency and level, the online monitoring of substation is an important support mechanism for real-time monitoring and display of system frequency, harmonic voltage, harmonic current, three-phase voltage unbalance, voltage fluctuation and flicker, true power factor and other power quality parameters specified in national standard. The research of distributed substation high voltage electrical equipment online system based on image segmentation has important practical value. However, the design system of the online monitoring network of some substation electrical equipment can not effectively follow the development needs of society and industry, and there is an urgent need for effective reform. Based on this, this paper first analyzes the problems existing in the design system construction of online monitoring network of distributed substation electrical equipment, and then gives the construction strategy of online monitoring system of high voltage electrical equipment in view of these problems.
Helicopter Training Simulator Measurement and Control System Based on Computer Simulation Technology
Authors: Li He , Zou Gang , Li Lin , Yu Dehui 
Published: December 2021

Abstract
With the development of computer software technology and simulation technology, simulation training has been widely used. Helicopter training simulation has become an important part of helicopter training, and its status is becoming more and more important. On the one hand, the air mechanic is responsible for the maintenance and organization of the helicopter during the flight, and on the other hand is responsible for the starting and stopping of the helicopter engine, the operation of related equipment, and the handling of emergencies during the flight. The simulation training has the characteristics of high training efficiency, convenient maintenance and low training cost. It will become an important means for helicopter air mechanics to troubleshoot and deal with special situations. This paper aims to study the helicopter training simulator measurement and control system based on computer software technology. Based on the analysis of the advantages of the simulator instead of the actual installation for training, the helicopter training simulator function and the simulator subsystem, the actual installation simulation instrument and signal are designed. The indicator light, the graphic instrument and the control signal are arranged in the circuit, and then the simulation experiment is carried out on the design. The experimental results show that the design can more accurately simulate the indication of the antenna elevation angle table, which meets the requirements of this article.
Optimization of Microwave Resonator for Wireless Communication Based on Computer Technology
Authors: Cao Ke 
Published: December 2021

Abstract
Wireless communication is a way of information transmission based on wireless network. It mainly includes microwave communication and satellite communication. There is no conductor between the receiving points of transmitting information. Microwave belongs to radio waves, its propagation distance is not far, but its transmission frequency and communication capacity is relatively high. Microwave resonators have been widely used and provide convenient conditions for wireless communication. In this paper, the status quo of wireless communication microwave resonator and some optimization schemes based on computer technology are described, and some obvious effects will be achieved after optimization based on computer technology are summarized.
Intelligent Building Data Fusion Algorithm by Using the Internet of Things Technology
Authors: Peng Duo , Zhao Jingqiang , Xu Tongtong 
Published: December 2021

Abstract
Analyzed in this paper based on the Internet of things technology for intelligent building data, redundancy of data fusion are pointed out, based on the dynamic Kalman filter algorithm of multi-sensor fusion, first using the theory of fuzzy and covariance matching technique to adjust the noise covariance of traditional algorithm, combined with weighted minimum variance matrix under the optimal information fusion algorithm of data fusion, Finally, the simulation results show that this algorithm can effectively reduce the redundancy of intelligent data and make the estimated value of data fusion more close to the actual value.
The Application of Intelligent Manufacturing Technology in CNC Tools Design and Machining
Authors: Su Zhaohui 
Published: December 2021

Abstract
CNC tool is a kind of cutting tools in industrial manufacturing. With the improvement of CNC machining accuracy and quality level, it puts forward more strict requirements for the performance of the cutting tool. Its manufacturing intelligence has become the inevitable choice for the development of the industry. In this paper, the key manufacturing technology of numerical control tools and the application of intelligence in numerical control tool manufacturing are described. the development trend of intelligent manufacturing of numerical control tools is analyzed.
Technical Research on Substation Overhaul Status Based on the Combination of Computer Technology in Power System
Authors: Qiao Dongwei , Yang Jun , Ye Jun 
Published: December 2021

Abstract
With the development of computer technology, its application in power failure detection has become more and more extensive, and the functions of the power system have been continuously updated. This article mainly focuses on the technical analysis of the substation overhaul status and the application of substation overhaul technology in the power system.
Peculiarities of calculations of formation of extended sections of steel castings in disposable moulds with functional coating of definite microrelief
Authors: Smikov A F , Kuzovov S S , Moiseyev V S 
Published: December 2021

Abstract
In the present article are considered the issues of influence of the microrelief of the working cavity surface of the sand-and-clay mould on the intensity of heat exchange and formation of the structure in the surface area of the metal blank, for prevention of hot cracks formation.
Study of influence of micro-arc oxidation process duration on the characteristics of thermal control coatings for space applications
Authors: Anikin К A , Apelfeld A V , Kondratskiy I O 
Published: December 2021

Abstract
Thermal control coatings were obtained on the AMg6 aluminum alloy with the aid of micro-arc oxidation (MAO) process. The dependences of the thickness, roughness, porosity and thermal control properties of the coating on MAO process duration were studied. The thermal control properties (solar absorbance αs and emissivity ε) were investigated by ultraviolet–visible-near infrared spectrophotometer instrument and solar absorption reflectometer. The analysis of thickness, roughness and MAO process duration influence on the thermal control properties of the coating was carried out.
Effect of TiN particles on mechanical and anticorrosive properties of oxide layers formed by PEO on silumin
Authors: Borgardt E D , Katsman A V , Krishtal M M 
Published: December 2021

Abstract
The work focuses on the effect of sub-micron and micron dispersity titanium nitride additions to the electrolyte during plasma electrolytic oxidation (PEO) of silumin A14130(11.5 wt% Si) on the structure, mechanical and anticorrosive properties of the oxide layers. It was found that the greatest positive effect of sub-micron TiN particles on the hardness and wear resistance of oxide layers is achieved at concentrations in the range of 1.0–2.5 g/l, and for micron TiN particles – at 0.5–1.0 g/l concentrations. However, for all concentrations of TiN particles, their insertion into the oxide layer has adverse effect on the anticorrosive properties of the oxide layer.
Arc-PVD coatings for titanium machining tool
Authors: Blinkov I V , Demirov A P , Belov D S , Chernogor A V 
Published: December 2021

Abstract
The paper presents results of life tests in machining titanium alloy with cutting carbide tool with Ti-Mo-Al-Ni-Si-N, (Ti, Al) N coatings and without it. Shown, that tool life with first coatings is 1.8 and 3.6 times higher than tool with second coatings and simple carbide tool,respectively.
NaI(Tl+Li) scintillator as multirange energies neutron detector
Authors: Ponomarev D. , Filosofov D. , Khushvaktov J. , Lubashevskiy A. , Rozova I. , Rozov S. , Shakhov K. , Shitov Yu. , Timkin V. , Yakushev E. , Zhitnikov I. 
Published: December 2021

Abstract
Novel NaIL detector (5 × 6 inch) was investigated for
its neutron detection in wide energy range. It has been found that
the detector together with its known ability to detect the
γ-radiation it also allows to distinguish neutron signals in
three quasi-independent ways. It is sensitive to neutron fluxes on a
level down to 10-3 cm-2 s-1. In this work intrinsic
α-background and neutron detection sensitivity for the NaIL
detector were obtained. Experimental data was compared with results
of Geant4 Monte Carlo (MC).
Energy efficient embedded systems and their application in wireless sensor networks
Authors: Bundalo Zlatko V 
Published: December 2021

Abstract
Embedded systems are specialised electronic systems that perform limited number of fixed operations and are used in many application areas. Such systems are based on using microprocessors for their implementation. Embedded systems are usually part of other systems where they are embedded into some embedding systems. They have to be efficient in electrical energy consumption, size of program code, time of operation, weight and cost. Embedded systems are inexpensive and are used in almost every electronic product or other electronic systems. Many embedded systems are mobile systems supplied by batteries and the available electrical energy must be used efficiently as much as possible. Application areas where embedded systems are used and where minimal consumption of energy is required are battery powered wireless sensor networks. The methods for reduction of energy consumption and for power management in embedded systems are considered and described in this paper. The accent is given on design and application of energy efficient embedded systems in wireless sensor networks and on possibilities to reduce energy consumption in such systems. The methods for energy harvesting, that are very attractive and very useful in wireless sensor networks applications, are also considered and described. One practically implemented battery supplied wireless sensor network for application for environmental data acquisition and monitoring in agriculture is described in the paper.
Application of mathematical modelling in the process of design and production of pressure vessels
Authors: Islamović Fadil , Beganović Mirzet , Bajramović Esad , Gačo Dženana 
Published: December 2021

Abstract
The paper presents the engineering practice, which the company “Regeneracija” Ltd. Velika Kladuša – Bosnia and Herzegovina uses to perform preliminary experimental testing and measurements, followed by mathematical modeling of critical pressure of these vessels, in order to obtain the projected quality of pressure vessels made of composite materials. The paper will confirm the hypothesis that it is possible to relate mathematical connection and dependence of the critical pressure of vessels of composite materials (Pkr) with mechanical characteristics of vessel material (σM), vessel diameter (D), and vessel wall thickness (s). In this way, by varying the mentioned parameters, it is possible to achieve the desired product quality in the production of composite material containers by achieving the projected critical and thus working pressure. Generally speaking, the mathematical model of critical pressure obtained in this way will be a good indicator for design engineers to know how much critical pressure a given vessel can withstand, and based on that to take quick control of working or projected pressure, but also for designing completely new vessels made of composite materials as a substitute for the expensive experimental testing.
The Methodology of Distinguish Between Random and Chaotic Machine Tool Oscillations
Authors: Gredelj Sanel 
Published: December 2021

Abstract
Machine tool oscillations are irregular or aperiodic. Most often, these oscillations are chaotic but, in some cases, they can be quasi-periodic or random. The methodology for characterizing oscillations in the first of two steps uses the nonparametric hypothesis tests which the observed oscillations confirmed as irregular. The methodology for the final characterization of oscillations is based on chaos quantifiers. A time series defined as the measured values of oscillations in the time domain is the basis for calculating the quantifiers of chaos. There are four quantifiers of chaos: the Lyapunov exponent, Kolmogorov entropy, fractal dimension and correlation dimension. The correlation dimension and Kolmogorov entropy are important for distinguishing between random and chaotic oscillations. Other quantifiers of chaos are not used for this purpose. The methodology requires a multidisciplinary approach based on combining Nonlinear Dynamics and Probability Theory and Statistics. The methodology can be applied to many oscillating phenomena. Therefore, the paper mainly used the term oscillations, not vibrations, chatter, etc.
Spectral Range and Wood Surface Impacts on Equilibrium Moisture Content Estimation in Thermally Modified Beech Wood by FT-NIR Spectroscopy
Authors: Todorović Nebojša 
Published: December 2021

AbstractFourier transform near-infrared (FT-NIR) spectroscopy and partial least squares regression (PLS-R) were tested for the possibility of equilibrium moisture content (EMC) prediction in thermally modified beech wood (Fagus moesiaca C.). The samples were modified for 4h at temperatures of 170, 190 and 210 °C. After thermal modification, the samples were kept in a climatic chamber until EMC was reached. FT-NIR spectra (100 scans and 4 cm-1) were collected on the cross-section and radial surfaces at four points. PLS – R models were developed for four spectral regions: the first overtone, the second overtone, the third overtone and the combination band region. Applied thermal treatment caused a decrease of EMC by 42 % at 170 °C, by 53 % at 190 °C, and by 62 % at 210 °C. Principal component analysis (PCA) indicated that there is a difference both between treatments and between wood surfaces. The results of the spectra taken from the radial surface were, in all models, better than the spectra of the cross-section. Related to chemical changes, the first and second overtone region play an important role in the calibrations. The best prediction models for EMC of thermally modified beech wood were obtained from radial surface spectra in the first (Rp2=0.86, RPD=2.69) and second overtone region (Rp2=0.87, RPD=2.70). The obtain results could contribute to the development of predictive models in monitoring of EMC which could significantly improve the quality of industrial production of thermally modified wood.
Influence humidity and heat on tensile shear strength of lap joints made of solid fir/spruce wood
Authors: Cehic Minka 
Published: December 2021

Abstract
Determination of tensile shear strength of lap joints is carried out according to three standards: BAS EN 205:2018 for adhesives used for non–load–bearing structures, and according to BAS EN 302-1:2014 for adhesives used for the manufacture of load-bearing structures and according to EN 14257:2019 for lap joints who are exposed to elevated temperatures. The paper presents the results of tensile shear strength of lap joints made of solid fir/spruce (Abies alba ssp./Picea abies spp). Tensile shear strength was tested in 4 groups of tests samples. The Group 1 consisted the samples were 7 days in standard atmosphere [20/65]. The Group 2 consisted the samples were previously soaked in water at (20 ± 5) °C, then recondition in standard atmosphere [20/65]. The Group 3 consisted the samples were previously 6 h soaked in boiling water 2 h, then soaked in water at (20 ± 5) °C; the samples tested in the wet state. The Group 4 consisted the samples were previously exposed to heat in a preheated fan oven, at (80 ± 2) °C, for (60 ± 2) min. The test results can be applied for gluing windows, doors, stairs, high-frequency gluing, veneering panels, etc.
Model for predicting heart failure using Random Forest and Logistic Regression algorithms
Authors: Grgić Vedran , Mušić Denis , Babović Elmir 
Published: December 2021

Abstract
The paper analyzes the cardiovascular parameters of patients with heart disease. The aim of this study was to predict death in a patient with cardiovascular disease based on 12 parameters, using Random Forest and Logistic Regression algorithms. Parameters were tuned for both algorithms to determine the best settings. The most significant factors in the process predicted were found using the FEATURE SELECTION method of both algorithms. By comparative analysis of the obtained results, the highest accuracy of 90% was obtained using the Random Forest Algorithm.
Dynamic analysis of hybrid basalt and carbon fiber reinforced Bismaleimide composites suited for high temperature structural applications
Authors: Iyer N Prasanaa , Arunkumar N 
Published: December 2021

Abstract
The main aim of this work is to study thedamage tolerance of hybrid basalt and carbon fiber-reinforced composite subjected to low velocity impact (LVI) at different velocities, 2.89 m s−1 and 4.42 m s−1, simulated using a CEAST drop hammer testing machine and Dynamic Mechanical Analysis(DMA) were conducted to characterize the sample. In this article, the detailed failure mechanism of seven composite laminates (Basalt fiber/Bismaleimide(BMI)-diallyl Bisphenol A(DABA), Carbon fiber/BMI-DABA, Carbon and basalt fiber(hybrid fibers)/BMI-DABA) were studied under loading of LVI. Through the experiment, it was also substantiated that the hybrid fiber-reinforced composites possessed better damage tolerance and thermo mechanical properties than the homogenous fiber-reinforced composites. The hybrid fiber composites that were produced vary in the number of carbon fiber to basalt fiber ratio and stacking sequence. The impacted surface was analyzed at macro level by using Image J software. The impact force, the energy absorbed, and the deformation of the laminates under impact load were scrutinized extensively, and it was inferred that the basalt fiber intercalated with carbon fiber with BMI/DABA possessed the highest damage resistance than the other composite laminates under study. The highest peak force 5702 N and 9241 N with the highest elastic energy 4.8 J, 11.7 J and with lower deformation (3.85 mm, 6.09 mm) and deformation area (22.79 mm2, 28.09 mm2) was observed in the intercalated hybrid laminate.
AlphaFold2-aware protein–DNA binding site prediction using graph transformer
Authors: Yuan Qianmu , Chen Sheng , Rao Jiahua , Zheng Shuangjia , Zhao Huiying , Yang Yuedong 
Published: December 2021

AbstractProtein–DNA interactions play crucial roles in the biological systems, and identifying protein–DNA binding sites is the first step for mechanistic understanding of various biological activities (such as transcription and repair) and designing novel drugs. How to accurately identify DNA-binding residues from only protein sequence remains a challenging task. Currently, most existing sequence-based methods only consider contextual features of the sequential neighbors, which are limited to capture spatial information. Based on the recent breakthrough in protein structure prediction by AlphaFold2, we propose an accurate predictor, GraphSite, for identifying DNA-binding residues based on the structural models predicted by AlphaFold2. Here, we convert the binding site prediction problem into a graph node classification task and employ a transformer-based variant model to take the protein structural information into account. By leveraging predicted protein structures and graph transformer, GraphSite substantially improves over the latest sequence-based and structure-based methods. The algorithm is further confirmed on the independent test set of 181 proteins, where GraphSite surpasses the state-of-the-art structure-based method by 16.4% in area under the precision-recall curve and 11.2% in Matthews correlation coefficient, respectively. We provide the datasets, the predicted structures and the source codes along with the pre-trained models of GraphSite at https://github.com/biomed-AI/GraphSite. The GraphSite web server is freely available at https://biomed.nscc-gz.cn/apps/GraphSite.