bluuebunny/crossref_metadata_2025 huggingface dataset:
Bandgap renormalization and indirect optical absorption in MgSiN2 at finite temperature
Authors: Fang Dangqi
Published: December 2021

We investigate the temperature effect on the electronic band structure and optical absorption property of wide-bandgap ternary nitride MgSiN2 using first-principles calculations. We find that electron–phonon coupling leads to a sizable reduction in the indirect gap of MgSiN2, which is indispensable in understanding the optoelectronic properties of this material. Taking the bandgap renormalization into account, the bandgap of MgSiN2 determined by the quasiparticle GW0 calculations shows good agreement with recent experimental result. The predicted phonon-assisted indirect optical absorption spectra show that with increasing temperature, the absorption onset undergoes a redshift. Our work provides helpful insights into the nature of the bandgap of MgSiN2 and facilitates its application in ultraviolet optoelectronic devices.
Bayesian sparse modeling of extended x-ray absorption fine structure to determine interstitial oxygen positions in yttrium oxyhydride epitaxial thin film
Authors: Kumazoe Hiroyuki , Igarashi Yasuhiko , Iesari Fabio , Shimizu Ryota , Komatsu Yuya , Hitosugi Taro , Matsumura Daiju , Saitoh Hiroyuki , Iwamitsu Kazunori , Okajima Toshihiro , Seno Yoshiki , Okada Masato , Akai Ichiro
Published: December 2021

This article presents a Bayesian sparse modeling method to analyze extended x-ray absorption fine structure (EXAFS) data with basis functions built on two-body signals. This method does not require any structural model and allows us to evaluate regression coefficients proportional to the radial distribution functions of the respective elements and their errors and is very effective for analysis of EXAFS with weak absorption intensity and severe signal-to-noise ratios. As an application example, we used it to analyze the EXAFS of an yttrium oxyhydride (YOxHy) epitaxial thin film. These EXAFS data show weak absorption intensity and a severe signal-to-noise ratio due to the small amount of x-ray absorption in the thin film sample. However, this approach revealed that the radial distance ratio of the second neighbor yttrium to the first neighbor oxygen coincides with that of a tetrahedral configuration. This result demonstrates that the interstitial oxygen position is tetrahedral in the YOxHy thin film.
Effect of disorder and vacancy defects on electrical transport properties of Co2MnGa thin films grown by magnetron sputtering
Authors: Miyashita A. , Maekawa M. , Suzuki C. , Yamamoto S. , Kawasuso A. , Wang J. , Seki T. , Umetsu R. Y. , Takanashi K.
Published: December 2021

Co2MnGa is known as a Weyl semimetal exhibiting giant anomalous Hall and Nernst effects. However, the performance of Co2MnGa thin films grown on MgO(001) by the magnetron sputtering method is somewhat lower than that of the bulk crystals. Here, we attempted to improve the electrical transport properties by post-growth annealing at temperatures from 573 to 773 K. X-ray diffraction analysis indicated that the degree of long-range order changed from A2 to B2 plus L21 upon annealing at 673 K or above. Positron annihilation spectroscopy revealed the presence of high-density (≳100 ppm) divacancies, which were absent in the bulk crystal, and their partial improvement near the Co2MnGa/MgO interface on annealing at 673 K or above. Accompanying these structural changes, the longitudinal and anomalous Hall conductivities increased considerably and the anomalous Hall angle reached a maximum value of 11.8%. These findings imply that the post-growth annealing improved the electrical transport properties of Co2MnGa films through the development of long-range crystal order and reduction of divacancies. However, the electrical performance achieved by thermal annealing was still insufficient in comparison with the bulk crystals, and hence for further improvement, alternative approaches may need to be considered.
Two-stage fourth-order gas kinetic solver-based compact subcell finite volume method for compressible flows on triangular meshes
Authors: Zhang Chao , Li Qibing , Song Peng , Li Jiequan
Published: December 2021

To meet the demand for complex geometries and high resolutions of small-scale flow structures, a two-stage fourth-order subcell finite volume (SCFV) method combining the gas-kinetic solver (GKS) with subcell techniques for compressible flows on (unstructured) triangular meshes was developed to improve the compactness and efficiency. Compared to the fourth-order GKS-based traditional finite volume (FV) method, the proposed method realizes compactness effectively by subdividing each cell into a set of subcells or control volumes (CVs) and selecting only face-neighboring cells for high-order compact reconstruction. Because a set of CVs in a main cell share the same reconstruction, it is more efficient than traditional FV-GKS, where the solution polynomial on each CV needs to be separately reconstructed. Unlike in the single-stage third-order SCFV-GKS, both accuracy and efficiency are improved significantly by two-stage fourth-order temporal discretization, for which only a second-order gas distribution function is needed to simplify the construction of the flux function and reduce computational costs. For viscous flows, it is not necessary to compute the viscous term with GKS. Compared to the fourth-stage Runge–Kutta method, one half of the stage is saved for achieving fourth-order time accuracy, which also helps to improve the efficiency. Therefore, a new high-order method with compactness, efficiency, and robustness is proposed by combining the SCFV method with the two-stage gas-kinetic flux. Several benchmark cases were tested to demonstrate the performance of the method in compressible flow simulations.
Drag reduction in minichannel laminar flow past superhydrophobic surfaces
Authors: Ems Henry , Tsubaki Alfred , Sukup Ben , Nejati Siamak , Alexander Dennis , Zuhlke Craig , Gogos George
Published: December 2021

We present friction drag reduction in minichannel laminar flow past superhydrophobic metallic surfaces. Femtosecond laser surface processing (FLSP), a one-step scalable method, was used to create permanent microscale and nanoscale structures on 316 stainless steel plates. The resulting superhydrophilic plates were covered by tall (215 μm) or short (27 μm) structures. The FLSP plates were then transitioned to superhydrophobic by evaporative deposition of a fluorinated silane, a low surface energy coating. Using purified water, the friction factor was obtained by measuring pressure drop along a minichannel with a rectangular cross section for flow rates corresponding to Reynolds numbers from 45 to 250. The superhydrophobic FLSP plates with the tall or short microstructures were used on the bottom surface of the minichannel. Pressure drop reduction was observed when compared to a smooth unprocessed stainless steel surface at the same flow rate. Compared to the drag experienced by the smooth unprocessed surface, the superhydrophobic FLSP surfaces exhibited a drag reduction over the entire range of Reynolds numbers tested. The drag reduction was attributed to the slip velocity created by the presence of an air layer (plastron) between the water and the superhydrophobic surfaces. The superhydrophobic FLSP surface with the tall microstructures exhibited drag reduction that was almost constant at approximately 15% for the entire range of Reynolds numbers tested. The drag reduction for the surface with the short microstructures decreased monotonically with Reynolds number and ranged from about 31% at Reynolds number of 45 to about 25% at Reynolds number of 250.
Biased M1 muscarinic receptor mutant mice show accelerated progression of prion neurodegenerative disease
Authors: Scarpa Miriam , Molloy Colin , Jenkins Laura , Strellis Bethany , Budgett Rebecca F. , Hesse Sarah , Dwomoh Louis , Marsango Sara , Tejeda Gonzalo S. , Rossi Mario , Ahmed Zeshan , Milligan Graeme , Hudson Brian D. , Tobin Andrew B. , Bradley Sophie J.
Published: December 2021

Significance

The M1 muscarinic acetylcholine receptor (M1-receptor) plays a crucial role in learning and memory and is a validated drug target for the treatment of Alzheimer’s disease (AD). Furthermore, M1-receptor ligands have been demonstrated to display disease-modifying effects in preclinical models of neurodegenerative disease. By employing a genetic mouse model expressing a G protein–biased M1-receptor in combination with a mouse model of terminal neurodegenerative disease, we demonstrate here that the M1-receptor exerts an inherent neuroprotective activity that is dependent on its phosphorylation status. Thus, in AD drug development programs, M1-receptor ligands that maintain the receptor phosphorylation status will be more likely to lead to beneficial neuroprotective outcomes.
Student-teacher interaction in CLIL and non-CLIL elementary education
Authors: Alejo-González Rafael , Lucero Manuel , Schleppegrell Mary , Sánchez Ana
Published: December 2021

This study analyzes interaction in a primary school science classroom. We compare the verbal scaffolding
strategies used by a teacher during lessons from the same instructional unit taught in CLIL (English) and regular (Spanish)
contexts. Results show that although there was no difference in the amount of information (‘content’) made available to students
through the interactions, different verbal strategies were used (precision, justification and
recall were more frequent in Spanish and exemplification in English) and that students were
more active in engaging with science knowledge in the Spanish context. We discuss these findings in relation to the level of
abstraction the teacher supported in interacting about science in the regular session, with implications for supporting children
in learning both content and language in CLIL contexts.
The role of grammar in spelling homophonous regular verbs
Authors: Chamalaun Robert J. P. M. , Bosman Anna M. T. , Ernestus Mirjam T. C.
Published: December 2021

Can a lack of grammatical knowledge alone be held accountable for the spelling errors that are made for
homophonous verb forms and do these errors occur because spellers do not apply their grammatical knowledge? Three experiments with
secondary school pupils were conducted on Dutch weak prefix verbs. The results confirmed that pupils made many spelling errors and
also have great problems identifying the verb forms’ functions. Moreover, a direct correlation was revealed between a pupil’s
identification of the form’s grammatical function and its spelling. These results indicate that many errors result from pupils’
inability to determine the grammatical functions of the forms. If pupils know the form’s function, they are more likely to also
spell the form correctly. If they do not, they often choose the form’s homophone, especially if the homophone is more frequent
than the target form. Spelling education thus needs a strong grammatical basis.
The ides of MARCH5: The E3 ligase essential for peroxisome degradation by pexophagy
Authors: Platta Harald W. , Erdmann Ralf
Published: December 2021

A recent study by Zheng et al. (2021. J. Cell Biol.https://doi.org/10.1083/jcb.202103156) identifies the ubiquitin-protein ligase (E3) MARCH5 as a dual-organelle localized protein that not only targets to mitochondria but also to peroxisomes in a PEX19-mediated manner. Moreover, the authors demonstrate that the Torin1-dependent induction of pexophagy is executed by the MARCH5-catalyzed ubiquitination of the peroxisomal membrane protein PMP70.
Comment on ‘Do electromagnetic waves always propagate along null geodesics?’
Authors: Linnemann Niels , Read James
Published: December 2021

We study the propagation of Maxwellian electromagnetic waves in curved spacetimes in terms of the appropriate geometrical optics limit, notions of signal speed, and minimal coupling prescription from Maxwellian theory in flat spacetime. In the course of this, we counter a recent major claim by Asenjo and Hojman (2017) to the effect that the geometrical optics limit is partly ill-defined in Gödel spacetime; we thereby dissolve the present tension concerning established results on wave propagation and the optical limit.
Multi-scale simulation of the dendrite growth during selective laser melting of rare earth magnesium alloy
Authors: Wang Wenli , Liu Wenqiang , Yang Xin , Xu Rongrong , Dai Qiuyun
Published: December 2021

The solidification microstructure of the alloy fabricated by the selective-laser-melting (SLM) process can significantly impact its mechanical properties. In this study, a multi-scale model which couples the macroscale model for thermal-fluid and microscale cellular automata (CA) was proposed to simulate the complex solidification evolution and the dendrite growth (from planar to cellular to dendritic growth) during the SLM process. The solid–liquid interface of CA was dispersed with the bilinear interpolation method. On that basis, the curvature was accurately determined, and the calculation result was well verified by employing the Kurz–Giovanola–Trivedi analytical solution. The dendrite morphology, solute distribution, and primary dendrite arm spacing during the solidification of the SLM molten pool were quantitatively analyzed with the proposed model, well consistent with the experiment. The distribution of the undercooling field and the concentration field at the tip of dendrites different orientations were analyzed, and the two competing growth mechanisms of converging and diverging growth were revealed. Moreover, the research also indicates that during the growth of dendrites, the result of dendrite competition is determined by the height of the dendrite tip position in the direction of the thermal gradient, while the distribution of the concentration field (symmetrical or asymmetric) at the tip of the dendrite critically impacted the competing growth form of dendrites.
Algorithms for solving high dimensional PDEs: from nonlinear Monte Carlo to machine learning
Authors: E Weinan , Han Jiequn , Jentzen Arnulf
Published: December 2021

In recent years, tremendous progress has been made on numerical algorithms for solving partial differential equations (PDEs) in a very high dimension, using ideas from either nonlinear (multilevel) Monte Carlo or deep learning. They are potentially free of the curse of dimensionality for many different applications and have been proven to be so in the case of some nonlinear Monte Carlo methods for nonlinear parabolic PDEs. In this paper, we review these numerical and theoretical advances. In addition to algorithms based on stochastic reformulations of the original problem, such as the multilevel Picard iteration and the deep backward stochastic differential equations method, we also discuss algorithms based on the more traditional Ritz, Galerkin, and least square formulations. We hope to demonstrate to the reader that studying PDEs as well as control and variational problems in very high dimensions might very well be among the most promising new directions in mathematics and scientific computing in the near future.
Locating Ruelle–Pollicott resonances*
Authors: Butterley Oliver , Kiamari Niloofar , Liverani Carlangelo
Published: December 2021

We study the spectrum of transfer operators associated to various dynamical systems. Our aim is to obtain precise information on the discrete spectrum. To this end we propose a unitary approach. We consider various settings where new information can be obtained following different branches along the proposed path. These settings include affine expanding Markov maps, uniformly expanding Markov maps, non-uniformly expanding or simply monotone maps, hyperbolic diffeomorphisms. We believe this approach could be greatly generalised.
Global attractivity for a nonautonomous Nicholson’s equation with mixed monotonicities
Authors: Faria Teresa , Prates Henrique C
Published: December 2021

We consider a Nicholson’s equation with multiple pairs of time-varying delays and nonlinear terms given by mixed monotone functions. Sufficient conditions for the permanence, local stability and global attractivity of its positive equilibrium K are established. The main novelty here is the construction of a suitable auxiliary difference equation x

n+1 = h(x

n
) with h having negative Schwarzian derivative, and its application to derive the attractivity of K for a model with one or more pairs of time-dependent delays. Our criteria depend on the size of some delays, improve results in recent literature and provide answers to open problems.
Parallel control model for navigation tasks on service robots
Authors: Montiel Holman , Martínez Fernando , Martínez Fredy
Published: December 2021

Autonomous mobility remains an open research problem in robotics. This is a complex problem that has its characteristics according to the type of task and environment intended for the robot’s activity. Service robotics has in this sense problems that have not been solved satisfactorily. These robots must interact with human beings in environments designed for human beings, which implies that one of the basic sensors for structuring motion control and navigation schemes are those that replicate the human optical sense. In their normal activity, robots are expected to interpret visual information in the environment while following a certain motion policy that allows them to move from one point to another in the environment, consistent with their tasks. A good optical sensing system can be structured around digital cameras, with which it can apply visual identification routines of both the trajectory and its environment. This research proposes a parallel control scheme (with two loops) for the definition of movements of a service robot from images. On the one hand, there is a control loop based on a visual memory strategy using a convolutional neural network. This system contemplates a deep learning model that is trained from images of the environment containing characteristic elements of the navigation environment (various types of obstacles and different cases of free trajectories with and without navigation path). To this first loop is connected in parallel a second loop in charge of defining the specific distances to the obstacles using a stereo vision system. The objective of this parallel loop is to quickly identify the obstacle points in front of the robot from the images using a bacterial interaction model. These two loops form an information feedback motion control framework that quickly analyzes the environment and defines motion strategies from digital images, achieving real-time control driven by visual information. Among the advantages of our scheme are the low processing and memory costs in the robot, and the no need to modify the environment to facilitate the navigation of the robot. The performance of the system is validated by simulation and laboratory experiments.
Optimization of an automatic voltage regulator AVR on a synchronous machine using fuzzy control
Authors: Cuesta Diego N Cuesta , Martínez Santa Fernando
Published: December 2021

The constantly developing society demands more and more electronic devices and microchips that perform vital tasks such as medical services, emergency lighting, communication systems, among others, however these are sensitive to variations and failures of the power supply, such as voltage fluctuations, voltage spikes and interference, for this reason and because of its great importance for its proper functioning must have a continuous power supply, Thus, the work shown in this article proposes to optimize the operation of automatic voltage correction devices AVR used in synchronous power generating machines whose main function is to ensure that the voltage has been constant, for this a solution is proposed based on the use of non-traditional control techniques such as fuzzy logic, For this purpose initially recognizes the relevant elements that make up the AVR system which are amplifier, exciter, generator and sensor then illustrates the mathematical block model that represents the operation of the system which is reduced to transfer function or otherwise as the relationship of the input and output signal of the system, Then a possible classical PID proportional integral derivative proportional control is suggested with the help of the PID tools of the software Matlab ®, where the fuzzy logic inference set is programmed in three stages: first stage: input of the set of rules for voltage error correction, second stage: input of the set of rules for the voltage field output in the synchronous machine, and in a third stage: programming of the fuzzy inference sentences. Finally, the response of each control is compared and the methodology in the design of the alternative control in the synchronous machine is exposed, with the use of the software Matlab®, all this as a study of new trends in control for educational purposes, in the context of Technology in Electricity and Electronic Technology.
Equation of lightning return current in tropical zones
Authors: Rubiano-Cruz J , Páez-Moncaleano S , Chacón-Cardona C , Torres-Sánchez H
Published: December 2021

The purpose of this study is to model mathematically the equation of the lightning return current in tropical zones and to validate it with data obtained from direct measurements in Colombia and Brazil. This study is carried out because the lightning return current in tropical zones is greater than in other latitudes of the planet. For this reason, it is very important for different applications in electrical engineering. Nowadays, the Heidler equation is used for the simulation of faults in electrical systems. This equation will serve as a reference to make a comparison between the data of the equation obtained in this article with those from the equation of Heidler.
Black hole optimizer for the optimal power injection in distribution networks using DG
Authors: Montoya Oscar Danilo , Giral-Ramírez Diego Armando , Grisales-Noreña Luis Fernando
Published: December 2021

The optimal sizing of Distributed Generators (DG) in electric power distribution networks is carried out through a metaheuristic optimization strategy. To size DG it is proposed an optimal power flow model is formulated by considering that the location of these sources has been previously defined by the distribution company. The solution of the optimal power flow is reached with the Black Hole Optimizer (BHO). A methodology is used master-slave optimization methodology, where the BHO (i.e., master stage) defines the sizes of the DG and the slave stage evaluates the objective function with a load flow algorithm, this work using the triangular-based power flow method. Numerical results in the 33-node and the 69-node test system demonstrates the effectiveness and robustness of the proposed approach when compared with literature results.
Design of Central Air Conditioning Control Acquisition Device Based on IoT Technology
Authors: Huang Changwei
Published: December 2021

With the rapid development of Internet and electronic technology, the Internet of things (hereinafter referred to as IOT) has become an important way of many intelligent devices, which can improve people’s application of intelligent devices. Through the IOT, we can carry out the research on the centralized monitoring system of central air conditioning [1]. Through the IOT, we can realize the IOT of indoor and outdoor units of central air conditioning, which can realize the important application of practical engineering projects. Through fuzzy algorithm, this paper can improve the overall improvement of the project. Through the cooperation of MCU and GPRS module, we can complete the wireless transmission of data., This can realize computer terminal monitoring and mobile terminal monitoring. Through engineering application, we can realize the automation and information integration of system monitoring, which will greatly improve the monitoring efficiency. Through the development of acquisition device, we can improve the comfort and security of central air conditioning, which will enhance the communication between the physical equipment of the system and the upper server network. Firstly, this paper analyzes the flow of fuzzy PID algorithm. Then, this paper specifies the system diagram of the central air conditioning control acquisition system [2]. Finally, this paper puts forward the important work of system acquisition.
Intelligent Agricultural Automatic Control System Based on Internet of Things
Authors: Wu Yongtang
Published: December 2021

The advanced technology of the Internet and extensive agricultural transformation and upgrading have made the overall agricultural industry chain and modern agriculture better. In view of the high cost and suffering of traditional agricultural planting management, the Internet of Things (I O T) is applied to agriculture to realize real-time detection and intelligent management of crop growth conditions, remote control, and change the traditional agricultural equipment planting mode. The purpose of this article is to design and research the I O T automatic control (A C) system for smart agriculture. This article first introduces the core technology of the I O T through an overview of the basic theories of the I O T. Combined with the current status of agricultural automation in my country, the existing problems and deficiencies are analyzed. On this basis, use the core technology of the I O T to supplement and improve it. This article systematically expounds the overall scheme design, module function design and A C algorithm realization of the I O T brake control system. And use field investigation method, comparative analysis method and other research forms to carry out research on the theme of this article. Experimental research shows that the sampling data of the greenhouse is selected as the sample, the appropriate initial membership function is selected, and the fuzzy control rules obtained through the training of the fuzzy neural network algorithm are relatively correct. The output result of the automatic temperature control system is mostly consistent with the actual data on site. Overall, the temperature A C system designed in this subject can meet the A C requirements of agriculture.
Design of General Test System for Optoelectronic Equipment Based on Computer
Authors: Han Xuefeng
Published: December 2021

In recent years, with the popularization of optoelectronic equipment in various industries, various reconnaissance equipment and test equipment have also appeared. Traditional test technology and system functions can no longer meet the development of optoelectronic equipment, so it is imperative to introduce general test ideas and establish a general test system.
Artificial Intelligence Technology in Optical Fiber Communication Engineering
Authors: Gao Demei
Published: December 2021

Optical fiber communication engineering as a kind of “wired” optical communication mode which uses light wave as carrier and optical fiber as transmission medium to transmit information from one place to another, especially optical fiber has a special position in the communication industry due to its unique advantages of wide transmission frequency band, high anti-interference and small signal attenuation. It has important practical value for the deep research of the area setting and protection of optical fiber and cable in the optical fiber communication engineering. However, at present, there is no complete management system in the aspects of hardware processing, fiber optic cable protection and the guarantee of the introduction of related talents, so it is urgent to innovate and develop the existing path. Based on this, this paper first analyzes the problems of optical fiber guarantee in the intelligent technology system construction of optical fiber technology in the field of communication engineering, and then puts forward the construction strategy of intelligent protection and breakthrough technology in optical fiber communication technology system.
Big Data Technology in Intelligent Management and Control System of Drainage Pipe Network
Authors: Hu Su , Zhang Wanhui
Published: December 2021

With the rapid development of urban construction, smart city has become an important trend in the future, which is inseparable from the intellectualization of drainage pipe network. At the same time, with the increasing frequency of urban flood disasters, the old drainage pipe network system will cause significant economic losses, which requires modern cities to establish intelligent management and control of drainage pipe network. However, the situation of drainage facilities in most cities in China is complex, which requires strengthening modern means such as monitoring, operation management and planning services. Therefore, the research on intelligent management and control system of drainage pipe network based on big data technology is of great significance. Firstly, this paper analyzes the importance of intelligent management and control system. Then, this paper puts forward the main algorithms for big data processing. Finally, this paper constructs the intelligent management and control system of drainage pipe network.
Plane Visual Communication Design of User Experience Effect Based on Computer Simulation
Authors: Zhang Fang , Li Mingjiong
Published: December 2021

With the development and popularization of computer simulation technology, its application in all walks of life has become more and more extensive, and it has also effectively promoted the development of all walks of life. This article analyzes the elements of flat visual communication design, and it decomposes the multi-level structure of user experience effects in flat visual communication design. In addition, the design of plane visual communication requires the aid of a three-dimensional reconstruction system, so this paper also studies the hardware design and software design of the three-dimensional image virtual reconstruction system.
On-line Diagnosis Method of Power Electronics Fault Diagnosis
Authors: Lu Mingxu , Bie Hongling
Published: December 2021

With the development of science and technology, the application of computer technology in electronic power fault diagnosis technology has become more and more extensive. This article mainly studies the detection methods of power electronics and the application of power electronics circuit fault diagnosis.
On-line Measurement Method and Technical Scheme of Transmission Line Crossing Point Based on Machine Vision
Authors: Tang Jie , Huang Zhidu , Cui Zhimei
Published: December 2021

With the increasing demand for high voltage and UHV transmission, higher and higher requirements are put forward for transmission line monitoring and fault diagnosis. The traditional line measurement method has many shortcomings, which cannot ensure the measurement accuracy, measurement efficiency and high cost. Based on this, this paper first studies the principle of machine vision on-line measurement, then analyses the on-line measurement process of transmission line crossing point based on machine vision, and finally gives the error source and amelioration measures of transmission line crossing point on-line measurement.
Smart Meter Evaluation System Based on Big Data
Authors: Zhou Yu , Shao Xuesong , Mu Zhuowen , Cai Qixin , Li Yue , Gao fan
Published: December 2021

Aiming at the problem of unstable operation of smart meters, this paper proposes a smart meter evaluation system based on big data. First introduce big data related technologies, such as data storage, analysis, mining, etc.. Secondly, design the big data smart meter evaluation system model. Finally, use big data technology and clustering algorithm to realize the design of the big data smart meter operation evaluation system. The system can convert massive data from multiple systems into operational evaluation reports, which helps to reduce the waste of human and material resources.
Influence of Numerical Control Cutting Parameters on Performance of Numerical Control Tool
Authors: Sha Heng
Published: December 2021

As China has stepped into a new era of development, the popularity of computer applications is becoming more and more profound. Especially in the machinery manufacturing industry, the current market has put forward a higher requirement for the accuracy and toughness of machinery manufacturing, and the traditional artificial manufacturing has not been adapted to the development of the industry. Through numerical control technology, numerical control tool manufacturing process can become very standardized, its accuracy and toughness is also guaranteed. This paper will from the numerical control this point of view, to explore the influence of numerical control cutting parameters on the numerical control tool.
Development and Realization of Electrical Automation Control System
Authors: Hu Yurui
Published: December 2021

With the development of computer intelligence technology, it has brought new opportunities and challenges to the development of electrical automation control systems. This article mainly analyzes the automatic detection technology and the design of the electrical automation control system. It also studies the electrical automation control system.
The applying of the short — term cross correlation in optical diagnostics of melt convection in laser metal deposition
Authors: Zavalov Y N , Dubrov A V
Published: December 2021

The time dependences of the surface temperature and the surface area of the melt bath during the formation of the single track in the laser metal deposition technology were obtained using a multi-wave optical diagnostics complex. The short - term cross-correlation method was used to analyse the measured parameters of the bath surface, and relationship of the measured parameters with the processes of thermocapillary convection in the melt was shown.
Electrochemical deposition of ceramic-like coatings on Ti-6Al-4V parts fabricated by electron beam melting
Authors: Peretyagin N Y , Suminov I V , Smirnov A , Krikheli N I , Kramar O V , Peretyagin P Y
Published: December 2021

The problems of micro-arc oxidation of titanium alloy parts Ti-6Al-4V produced by electron beam melting technology were considered. The phase composition, thickness and roughnessof the obtained coating have been evaluated.
Plasma and photon technologies against bio-factors, dangerous to human being
Authors: Volpian O D , Dronsky R V , Obod Yu A , Kuzmichev A I , Andrienko O V , Alybin K V
Published: December 2021

Possible plasma and photonic methods and devices for monitoring and preventing dangerous infections and human diseases are presented. In experiments with different types of atmospheric pressure discharges in different gases, the significant bactericidal effect was found. The prototype of device based on the method of absorption spectroscopy for detecting human diseases by biomarkers in the exhaled air has been proposed and tested. The importance of the plasma technology of deposition of coatings by magnetron sputtering for the creation of anti-covid masks and high-quality optics (mirrors) for photon monitoring devices is emphasized.
Cathodic nitriding and anodic polishing of Ti6Al4V alloy by plasma electrolysis
Authors: Tambovskiy I V , Vdovichenko R A , Belov R D , Dyakonova A D , Nikiforov R V , Silkin S A , Kusmanova I A
Published: December 2021

The paper presents the results of studies on modifying the surface of Ti6Al4V titanium alloy by combined exposure to cathodic nitriding and anodic polishing in electrolysis plasma. The morphology and roughness of the surface, microhardness of the modified layer have been investigated. Wear resistance was studied under dry friction conditions. The effect of combined treatment on corrosion resistance of Ti6Al4V alloy was examined by means of potentiodynamic polarization in Ringer’s solution. It has been established that cathodic nitriding at 750 °C for 10 min leads to the hardening of the surface layer up to 820 HV with an increase in roughness by 2 times and wear resistance almost 3 times. Subsequent anodic plasma electrolytic polishing of the nitriding surface in solution of ammonium sulfate leads to a decrease in roughness and friction coefficient with an increase in corrosion resistance.
Development of technological processes for production of items from composite materials based on criterion system
Authors: Galkin V I , Paltievich A R , Galkin E V
Published: December 2021

The method of development of technological processes of production of items from composite materials is developed, based on application of the criterion system providing formation of strong connection of components and required level of mechanical properties in the material
Chitosan Pesticides for Control Aphids (Aphis craccivora) on High Population in Long Bean (Vigna sesquipedalis) Cultivation
Authors: Adiwena M , Nurmaisah  , Imuly D.P , Rahim A.
Published: December 2021

Pesticides with chitosan as an alternative are still relevant for aphids which are important pesticides in vegetable crops. This research was conducted to see the effect of several types of pesticides with chitosan active ingredients, the concentration of pesticides, and interactions between types of pesticides and concentrations of aphids on long bean plants. The study used factorial methods with randomized block designs. The first factor was the type of pesticide made from chitosan, which consisted of control (JO), pure chitosan (Jl), soft guard (J2), super biovit (13). The second factor was the concentration of pesticides that consisted of 0.1% (Kl), 0.3% (K2), and 1% (K3). There were 48 experimental units consisting of 12 treatment combinations and 4 replications. Data were analysed using Analysis of variance (ANOVA), and comparison between averages using Duncan Multiple Range Test (DMRT). The results showed the effect of the treatment was single or there was no interaction between the types of pesticides made from chitosan with an active concentration in all parameters of observation. Furthermore, the effect of the type of pesticide with active chitosan was significantly different only on the average aphid population I and 3 days after the first application. Whereas pesticides made from active chitosan soft guard type tended to control the aphid population higher than other types of pesticides, then the effect of pesticide concentration was not significantly different from all parameters. However, the concentration of 1% indicated to inhibit the population of aphids higher than other concentrations. The high early aphid population, the behaviour of aphid colonies, the application method, and the nature of the active ingredient of chitosan were thought to be factors that reduce the ability of pesticides to control aphids on long bean plants.
Service Quality and Interest Impact on Satisfaction and Loyalty of Agro Tourism Visitors
Authors: Andayani Sri Ayu , Umyati Sri , Dani Umar , Turnip Arjon
Published: December 2021

The agricultural sector is one of the opportunities for improving the economy of local communities. Opportunities will be a challenge for agro-tourism managers in their development. The purpose of this study was to determine the impact of service quality and importance on visitor satisfaction and loyalty. The research method used is a survey method and research sampling using incidental sampling technique to 127 tourists who come to visit. Furthermore, the data is processed using the Structural Equation Modeling (SEM) method with the support of Amos SPSS Version 24. The results show that good service performance can significantly increase visitor satisfaction by 44%. However, it is inversely proportional to the effect of service performance on consumer loyalty directly. Improved service performance can lower visitor loyalty rates by 48%. In addition, increased satisfaction can also have a significant effect on visitor loyalty by 111%. In contrast to service performance and satisfaction, interests do not have a significant effect on visitor satisfaction or loyalty. So that the presence or absence of complete facilities at the research location does not guarantee that visitors will feel significant satisfaction and loyalty.
Recovery of cobalt and molybdenum from consumed catalyst using hydrochloric acid
Authors: Sutama D K , Prasetya A , Petrus H T B M , Astuti W
Published: December 2021

Cobalt and molybdenum are valuable metals whose presence in nature is very limited. The consumed catalyst, which is abundantly available in the petroleum refinery industry, is a potential source of those metals. A hydrometallurgical process using acid as a leaching agent is usually used to extract and separate the metals more effectively. This method is considered capable of yielding recovery of a higher percentage of metal. In this study, hydrochloric acid solutions at various concentrations of 1.0, 1.5 and 2 M were used. The consumed catalyst was obtained from Pertamina Refinery Unit IV, Cilacap, Indonesia. Leaching experiment was carried out for 300 minutes and sampling was undertaken at 1, 3, 5, 15, 30, 90 and 300 minutes. The particle size and agitation speed were fixed at 200 mesh and 400 rpm. Samples of consumed catalyst were analyzed using EDXRF before the leaching process. Samples of solution were analyzed using ICP-EOS. Experimental results have shown that the recovery of cobalt and molybdenum increases with the increase of either concentration of hydrochloric acid or temperature. The highest recoveries in cobalt and molybdenum were 34.66% and 5.03%, respectively, obtained at a concentration of hydrochloric acid of 2 M and temperature 60°C.
The extraction of tin (Sn) from primary tin ore deposits using wet chlorination
Authors: Rodliyah I , Wijayanti R , Septiarani A , Sudrajat A , Firmansyah D
Published: December 2021

More than half of the world’s tin production is from secondary ore deposits. However, along with its depletion, PT Timah Tbk has explored and mined the primary deposits in Belitung, one that is expected to become tin’s new source. Tin was found liberated as cassiterite in the secondary deposits, while in the primary, it was associated with other minerals requiring more complex processing. Therefore, a suitable technology is needed to extract the tin from the primary ore deposits. This research aims to observe the extraction of tin from primary deposits (oxide and skarn ores) using HCl wet chlorination, observed at different temperature (60 – 90°C), HCl concentrations (10 – 50 % excess of stoichiometric amount), leaching time (60 – 300 minutes), and with or without the addition of oxidant (hydrogen peroxide, H2O2). The research found that the highest percentage of tin extraction from oxide and skarn ores was 92.32% and 97.28%, respectively. Both results were achieved at the same optimum condition: temperature of 60°C, 50% excess of HCl, 240 minutes of leaching time, and at two-fold excess of the stoichiometric amount of H2O2. It was concluded that oxidative wet chlorination could be used to recover tin from its primary ore deposits.
Laboratory test and analysis of recovery from separation of iron sand using magnetic separator
Authors: Permatasari I , Palit C , Subandrio
Published: December 2021

The iron sand mining is a prevalent practice because such a material is a mineral with many uses, including as a raw material in the iron and steel industry. In mining, iron sand certainly carries other minerals as impurity minerals. Thus the iron sand needs a further processing to increase the content of the iron itself. The widely used method is using a magnetic separator since the iron ore is a material that is strongly attracted by magnetic force. In contrast, the impurity material is repelled by magnetic forces so that the separation of iron sand from impurities can be carried out properly. The purpose of this study is to increase the content of valuable minerals available in the iron sand material. The variables used in this study includes the strong electric current and the size of iron sand. This study obtained a maximum result at a material size of 100 mesh with a current strength of 5 amperes with the acquisition of concentrates as much as 165,189 grams and a recovery value of 65,041%.
Characteristic of heat transfer nanofluid of Al2O3 improved by ZrO2 addition
Authors: Gustaman Syarif Dani , Usman Jakaria , Ike Pratiwi Yofi , Yamin Muhammad , Hardian Arie
Published: December 2021

Efforts to replace conventional fluids as coolants for heat transfers with new fluids are continuously being made to improve heat transfer efficiency. Nanofluids are currently widely studied around the world as candidates for conventional fluids substitutes. In this research, the synthesis of Al2O3-ZrO2 nanocomposites for heat transfer nanofluid applications was carried out. The synthesis of the nanoparticles was conducted by the hydrothermal method. Here, we used ZrO2 to improve the characteristics of Al2O3. The results of XRD analysis showed that the nanocomposite had an Al2O3 gamma structure. The Al2O3 nanoparticles and Al2O3-ZrO2 nanocomposite have a crystallite size of 7.41 nm and 6.84 nm, respectively. The addition of 0.1 % ZrO2 decreased the crystallite size and BET particle size and increased the zeta potential, hence the stability of the nanofluids. The increase of stability increased the heat transfer coefficient of the Al2O3 nanofluids, making them suitable for heat transfer.
Analysis of cyclic voltammetry in the recovery of copper from printed circuit board waste using diluted deep eutectic solvent
Authors: Sugondo E , Harjanto S , Ulum R M
Published: December 2021

Cyclic voltammetry has been successfully analyzed from a diluted deep eutectic solvent (DDES) electrolyte for recovery printed circuit boards (PCB) containing 17.91% copper. The raw material sample is made through the dismantling stage until the grinding and then sieved to 80 mesh size for testing samples. Temperature variations are used to increase the surface area of the electrodes. The temperature variations used were 40⁰C, 50⁰C, and 60⁰C. The cyclic voltammetric measurement method was carried out using the potentiostat / galvanostat autolab PGSTAT302N connected to a computer with NOVA 1.11 software and a DC power source used for electrolysis with a scan rate of 10 mV / s. From the measurement results, it was found that the largest capacitance value was at 60⁰C with an oxidation peak of 1.15 A. with a current efficiency of 99.83%. Additional testing was also carried out using SEM-EDX to see the morphological surface of the cathode used.
Effect additional pH on separation extraction gadolinium from terbium and europium with Di-2-(ethylhexcyl)phosphate acid
Authors: Budiman S , Saputra B , Hardian A , Yuliana T , Murniati A , Kusumaningtyas V A , Nurdeni  , Effendy S , Mutalib A , Anggraeni A , Bahti H H
Published: December 2021

Rare earth elements are strategic materials, difficult to obtain, and have wide uses. Currently, it is still difficult to separate and refine REE’s because it has similar physical and chemical properties. Solvent extraction is most successful method used for the separation of REE’s. Di-2-ethylhexyl phosphoric acid has been widely used in industry for the separation and of REE’s. Purpose of this study is effect of pH on basic parameters extraction which include distribution coefficient, extraction efficiency and separation factor in extraction gadolinium, terbium and europium through complex with D2EHPA. Determination effect pH is a parameter determined in process extracting standard solutions gadolinium, terbium and europium using D2EHPA with n hexane. Basic parameters in extraction gadolinium, terbium and europium with D2EHPA at pH 4 are as follows KdGd = 89.90; αGd/Tb = 5.63, Gd/Eu = 1.83; %E = 98.90. KdTb = 15.94; αTb/Gd = 0.17; Tb/Eu = 0.32; % E = 94.10; KdEu = 1.40; αEu/Gd = 0.01, Eu/Tb = 0.08; %E = 98.29. From these valuesit can be concluded that gadolinium, can be separated from terbium and europium by the solvent extraction method by forming complex D2EHPA with best separation results obtained at pH 4.